Considering the importance of the ergonomic aspect for information systems in providing an easy use of the computing systems, this paper focuses on the elaboration of a hybrid model for the ergonomic evaluation of information systems that merges a set of inspection dimensions such as accessibility, practicality, emotionality, and technological persuasion. Details on how the model has been constructed and data have been collected are presented. For the evaluation of our model, a situation of an information system for scientific research (SIMArech) in Moroccan Universities has been studied. This model can be used by ergonomist and human factor professionals. It is found that the proposed heuristics can effectively assess the most important dimensions of scientific research information systems.
Designing and modeling of a multi-agent adaptive learning system (MAALS) usin...IJECEIAES
Several researches in the field of adaptive learning systems has developed systems and techniques to guide the learner and reduce cognitive overload, making learning adaptation essential to better understand preferences, the constraints and learning habits of the learner. Thus, it is particularly advisable to propose online learning systems that are able to collect and detect information describing the learning process in an automatic and deductive way, and to rely on this information to follow the learner in real time and offer him training according to his dynamic learning pace. This article proposes a multi-agent adaptive learning system to make a real decision based on a current learning situation. This decision will be made by performing a hypride cycle of the Case-Based Reasonning approach in order to follow the learner and provide him with an individualized learning path according to Felder Silverman learning style model and his learning traces to predict his future learning status.To ensure this decision, we assign at each stage of the Incremental Hybrid Case-Based Reasoning at least one active agent performing a particular task and a broker agent that collaborates between the different agents in the system.
Analysis of Agile and Multi-Agent Based Process Scheduling Modelirjes
As an answer of long growing frustration of waterfall Software development life cycle concepts,
agile software development concept was evolved in 90’s. The most popular agile methodologies is the Extreme
Programming (XP). Most software companies nowadays aim to produce efficient, flexible and valuable
Software in short time period with minimal costs, and within unstable, changing environments. This complex
problem can be modeled as a multi-agent based system, where agents negotiate resources. Agents can be used to
represent projects and resources. Crucial for the multi-agent based system in project scheduling model, is the
availability of an effective algorithm for prioritizing and scheduling of task. To evaluate the models, simulations
were carried out with real life and several generated data sets. The developed model (Multi-agent based System)
provides an optimized and flexible agile process scheduling and reduces overheads in the software process as it
responds quickly to changing requirements without excessive work in project scheduling.
Technology readiness and usability of office automation system in suburban areasTELKOMNIKA JOURNAL
Readiness and usability issues are important attributes of an information system (IS) success. Currently, IS studies that have been assessing the issues in suburban areas are still limited. The purpose of this study was to measure the above-mentioned phenomena by combining the readiness and usability models. The proposed model consisted out 10 constructs with 25 indicators. The four constructs were from the readiness model and the six ones were the usability model. The 89 samples were collected using an online survey based on purposive random sampling. Partial least squares structural equation modeling (PLS-SEM) method with SmartPLS 3.2.8 was used for analyzing the data. The findings may have contributed to the IS research field, in terms of the readiness and usability issues on the IS use in a suburban area in Indonesia.
A Study on Machine Learning and Its WorkingIJMTST Journal
Machine learning (ML) is widely popular these days and used in wide variety of domains for prediction of
outcomes. In machine learning lot of algorithms exists for predicting the outcomes. But choosing the right
algorithm according to the domain plays a very important in deciding the performance of the algorithm. This
paper consists of five sections is organized in following way first section deals about collection of data from
various resources, second section deals about data cleaning, third part deals about choosing the correct ML
algorithm, fourth part deals about gaining knowledge from models and final part deals about data
visualization
Review and analysis of machine learning and soft computing approaches for use...IJwest
The adequacy of user models depends mainly on the accuracy and precision of information that is retrieved to the user. The real challenge in user modelling studies is due to the inadequacy of data, improper use of techniques, noise within the data and imprecise nature of human behavior. For the best results of user modelling, one should choose an appropriate way to do it i.e. by selecting the best suitable approach for the desired domain. Machine learning and Soft computing Techniques have the ability to handle the uncertainty and are extensively being used for user modeling purpose. This paper reviews various approaches of user modeling and critically analyzes the machine learning and soft computing techniques that have successfully captured and formally modelled the human behavior.
This document summarizes a personalized e-learning scheme called SPERO for teachers. SPERO aims to estimate teachers' ICT (information and communication technologies) levels through online questionnaires. It uses an architecture based on the IEEE e-learning reference model. SPERO automatically extracts user profiles from questionnaire responses to provide personalized learning resources and feedback to teachers. The system creates initial profiles when users first complete a questionnaire, then continually re-evaluates and updates profiles as users provide new information.
Managers Perceptions towards the Success of E-performance Reporting SystemTELKOMNIKA JOURNAL
Managers are the key informants in the information system (IS) success measurements. In fact, besides the determinant agents are rarely involved in the assessments, most of the measurements are also often performed by the technical stakeholders of the systems. Therefore, the results may questionable. This study was carried to explain the factors that influence the success of an e-performance reporting system in an Indonesian university by involving ± 70% of the managers (n=66) in the sampled institution. The DeLone and McLean model was adopted and adapted here following the suggestions of the previous meta-analysis studies. The collected data was analyzed using the partial least squares-structural equation modelling (PLS-SEM) for examining the four hypotheses. Despite the findings revealed acceptances of the overall hypotheses, the weak explanation of the user satisfaction variable towards the net benefit one had been the highlighted point. Besides the study limitations, the point may also be the practical and theoretical considerations for the next studies, especially for the IS success studies in Indonesia
Examination is the process by which the ability and the quality of the examinees can be measured. It is necessary to ensure the quality of the examinees. Online examination system is the process by which the participants can appear at the examination irrespective of their locations by connecting to examination site via Internet using desktop computers, laptops or smart phones. Automated score generation is the process by which the answer scripts of the examinations are evaluated automatically to generate scores. Although, there are many existing online examination systems, the main drawback of these systems is that they cannot compute automated score accurately, especially from the text-based answers. Moreover, most of them are unilingual in nature. As a result, examinees can appear at the examination in a particular language. Considering this fact, in this paper, we present a framework that can take Multiple Choice Questions (MCQ) examinations and written examinations in two different languages English and Bangla. We develop a database where the questions and answers are stored. The questions from the database are displayed in the web page with answering options for the MCQ questions and text boxes for the written questions. For generating the scores of the written questions, we performed several types of analysis of the answers of the written questions. However, for generating the scores of the MCQ questions, we simply compared between the database answers and the user’s answers. We conducted several experiments to check the accuracy of score generation by our system and found that our system can generate 100% accurate scores for MCQ questions and more than 90% accurate scores from text based questions.
Designing and modeling of a multi-agent adaptive learning system (MAALS) usin...IJECEIAES
Several researches in the field of adaptive learning systems has developed systems and techniques to guide the learner and reduce cognitive overload, making learning adaptation essential to better understand preferences, the constraints and learning habits of the learner. Thus, it is particularly advisable to propose online learning systems that are able to collect and detect information describing the learning process in an automatic and deductive way, and to rely on this information to follow the learner in real time and offer him training according to his dynamic learning pace. This article proposes a multi-agent adaptive learning system to make a real decision based on a current learning situation. This decision will be made by performing a hypride cycle of the Case-Based Reasonning approach in order to follow the learner and provide him with an individualized learning path according to Felder Silverman learning style model and his learning traces to predict his future learning status.To ensure this decision, we assign at each stage of the Incremental Hybrid Case-Based Reasoning at least one active agent performing a particular task and a broker agent that collaborates between the different agents in the system.
Analysis of Agile and Multi-Agent Based Process Scheduling Modelirjes
As an answer of long growing frustration of waterfall Software development life cycle concepts,
agile software development concept was evolved in 90’s. The most popular agile methodologies is the Extreme
Programming (XP). Most software companies nowadays aim to produce efficient, flexible and valuable
Software in short time period with minimal costs, and within unstable, changing environments. This complex
problem can be modeled as a multi-agent based system, where agents negotiate resources. Agents can be used to
represent projects and resources. Crucial for the multi-agent based system in project scheduling model, is the
availability of an effective algorithm for prioritizing and scheduling of task. To evaluate the models, simulations
were carried out with real life and several generated data sets. The developed model (Multi-agent based System)
provides an optimized and flexible agile process scheduling and reduces overheads in the software process as it
responds quickly to changing requirements without excessive work in project scheduling.
Technology readiness and usability of office automation system in suburban areasTELKOMNIKA JOURNAL
Readiness and usability issues are important attributes of an information system (IS) success. Currently, IS studies that have been assessing the issues in suburban areas are still limited. The purpose of this study was to measure the above-mentioned phenomena by combining the readiness and usability models. The proposed model consisted out 10 constructs with 25 indicators. The four constructs were from the readiness model and the six ones were the usability model. The 89 samples were collected using an online survey based on purposive random sampling. Partial least squares structural equation modeling (PLS-SEM) method with SmartPLS 3.2.8 was used for analyzing the data. The findings may have contributed to the IS research field, in terms of the readiness and usability issues on the IS use in a suburban area in Indonesia.
A Study on Machine Learning and Its WorkingIJMTST Journal
Machine learning (ML) is widely popular these days and used in wide variety of domains for prediction of
outcomes. In machine learning lot of algorithms exists for predicting the outcomes. But choosing the right
algorithm according to the domain plays a very important in deciding the performance of the algorithm. This
paper consists of five sections is organized in following way first section deals about collection of data from
various resources, second section deals about data cleaning, third part deals about choosing the correct ML
algorithm, fourth part deals about gaining knowledge from models and final part deals about data
visualization
Review and analysis of machine learning and soft computing approaches for use...IJwest
The adequacy of user models depends mainly on the accuracy and precision of information that is retrieved to the user. The real challenge in user modelling studies is due to the inadequacy of data, improper use of techniques, noise within the data and imprecise nature of human behavior. For the best results of user modelling, one should choose an appropriate way to do it i.e. by selecting the best suitable approach for the desired domain. Machine learning and Soft computing Techniques have the ability to handle the uncertainty and are extensively being used for user modeling purpose. This paper reviews various approaches of user modeling and critically analyzes the machine learning and soft computing techniques that have successfully captured and formally modelled the human behavior.
This document summarizes a personalized e-learning scheme called SPERO for teachers. SPERO aims to estimate teachers' ICT (information and communication technologies) levels through online questionnaires. It uses an architecture based on the IEEE e-learning reference model. SPERO automatically extracts user profiles from questionnaire responses to provide personalized learning resources and feedback to teachers. The system creates initial profiles when users first complete a questionnaire, then continually re-evaluates and updates profiles as users provide new information.
Managers Perceptions towards the Success of E-performance Reporting SystemTELKOMNIKA JOURNAL
Managers are the key informants in the information system (IS) success measurements. In fact, besides the determinant agents are rarely involved in the assessments, most of the measurements are also often performed by the technical stakeholders of the systems. Therefore, the results may questionable. This study was carried to explain the factors that influence the success of an e-performance reporting system in an Indonesian university by involving ± 70% of the managers (n=66) in the sampled institution. The DeLone and McLean model was adopted and adapted here following the suggestions of the previous meta-analysis studies. The collected data was analyzed using the partial least squares-structural equation modelling (PLS-SEM) for examining the four hypotheses. Despite the findings revealed acceptances of the overall hypotheses, the weak explanation of the user satisfaction variable towards the net benefit one had been the highlighted point. Besides the study limitations, the point may also be the practical and theoretical considerations for the next studies, especially for the IS success studies in Indonesia
Examination is the process by which the ability and the quality of the examinees can be measured. It is necessary to ensure the quality of the examinees. Online examination system is the process by which the participants can appear at the examination irrespective of their locations by connecting to examination site via Internet using desktop computers, laptops or smart phones. Automated score generation is the process by which the answer scripts of the examinations are evaluated automatically to generate scores. Although, there are many existing online examination systems, the main drawback of these systems is that they cannot compute automated score accurately, especially from the text-based answers. Moreover, most of them are unilingual in nature. As a result, examinees can appear at the examination in a particular language. Considering this fact, in this paper, we present a framework that can take Multiple Choice Questions (MCQ) examinations and written examinations in two different languages English and Bangla. We develop a database where the questions and answers are stored. The questions from the database are displayed in the web page with answering options for the MCQ questions and text boxes for the written questions. For generating the scores of the written questions, we performed several types of analysis of the answers of the written questions. However, for generating the scores of the MCQ questions, we simply compared between the database answers and the user’s answers. We conducted several experiments to check the accuracy of score generation by our system and found that our system can generate 100% accurate scores for MCQ questions and more than 90% accurate scores from text based questions.
IRJET- Comparison of Classification Algorithms using Machine LearningIRJET Journal
This document compares several machine learning classification algorithms. It first provides background on machine learning and describes common algorithms like linear regression, support vector machines, and decision trees. It then outlines an experimental framework in Python using libraries like Pandas, Scikit-Learn, and Matplotlib. Various classification algorithms are applied to a dataset and their test and train errors are calculated and compared to determine the most accurate algorithm. The proposed algorithm is found to have the lowest test and train errors compared to other algorithms like ridge regression, KNN, Bayesian regression, decision trees, and SVM.
SOA-A GENERIC APPROACH FOR INTEGRATING LOOSELY COUPLED SYSTEMS WITH OTHER SYS...ijwscjournal
Various organizations generate data in various domains which is queried and analyzed by users. This limits the possibility of database integration with other systems. We describes a generalized approach comprising a loosely couples system and integrate with other system. It deals with the setting up the environment for implementing the system. User Interface screen shows how the user will interact with the system and the data
entry forms required to gather data for the system.
SOA-A GENERIC APPROACH FOR INTEGRATING LOOSELY COUPLED SYSTEMS WITH OTHER SYS...ijwscjournal
The document discusses integrating loosely coupled systems using a service-oriented architecture (SOA) approach. It proposes a generalized model to integrate various data sources related to a student admission process. The model uses SOA and web services to integrate student application, merit list generation, admission, and banking modules without changing their underlying business logic. This allows retrieving a student's application status, checking if they are on the merit list, assessing financial status, and recommending an education loan from compared banking options if needed. The integrated system provides a single interface to get information previously spread across different platforms and applications.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
IJREI_Selection model for material handling equipment’s used in flexible manu...Husain Mehdi
Material handling (MH) is important issue for every production site and has a great dependence upon the layout of the system. The important issue in the design of MH system is the selection of material handling equipment for every MH operation. Based upon the literature survey in this area, our purpose is to focus on the evaluation of the MHS-Layout of the system, due to their strong interdependence. The aim of this paper is to present a method for selection of material handling equipment (MHE) for flexible manufacturing system. In the first phase, the system consider major issues, rate of transfer, average time to transfer, flexibility etc., which is essential for the system. In second phase, the system selects the most feasible MHE types for every MH operation in a given application depends upon these major issues using fuzzy logic controller.
An unsupervised feature selection algorithm with feature ranking for maximizi...Asir Singh
Prediction plays a vital role in decision making. Correct prediction leads to right decision making to save the life, energy,
efforts, money and time. The right decision prevents physical and material losses and it is practiced in all the fields including medical,
finance, environmental studies, engineering and emerging technologies. Prediction is carried out by a model called classifier. The
predictive accuracy of the classifier highly depends on the training datasets utilized for training the classifier. The irrelevant and
redundant features of the training dataset reduce the accuracy of the classifier. Hence, the irrelevant and redundant features must be
removed from the training dataset through the process known as feature selection. This paper proposes a feature selection algorithm
namely unsupervised learning with ranking based feature selection (FSULR). It removes redundant features by clustering and eliminates
irrelevant features by statistical measures to select the most significant features from the training dataset. The performance of this
proposed algorithm is compared with the other seven feature selection algorithms by well known classifiers namely naive Bayes (NB),
instance based (IB1) and tree based J48. Experimental results show that the proposed algorithm yields better prediction accuracy for
classifiers.
The feature selection or extraction is the most important task in Opinion mining and Sentimental Analysis
(OSMA) for calculating the polarity score. These scores are used to determine the positive, negative, and
neutral polarity about the product, user reviews, user comments, and etc., in social media for the purpose
of decision making and Business Intelligence to individuals or organizations. In this paper, we have
performed an experimental study for different feature extraction or selection techniques available for
opinion mining task. This experimental study is carried out in four stages. First, the data collection process
has been done from readily available sources. Second, the pre-processing techniques are applied
automatically using the tools to extract the terms, POS (Parts-of-Speech). Third, different feature selection
or extraction techniques are applied over the content. Finally, the empirical study is carried out for
analyzing the sentiment polarity with different features.
Recommendation based on Clustering and Association RulesIJARIIE JOURNAL
This document proposes a hybrid recommendation framework that uses both clustering and association rule mining. It first clusters users using the k-means algorithm to group similar users together. It then applies the Eclat algorithm to generate frequent itemsets and association rules from the user-item data. These association rules are used to make recommendations to users. The framework aims to address issues like sparsity and cold start problems. An experimental study compares the performance of the Eclat and Apriori algorithms on recommendation quality and execution time. The proposed approach integrates clustering and association rule mining to provide more accurate recommendations.
This document provides a software requirements specification for an Attendance Management System being developed for JSS Academy of Technical Education. It includes sections on introduction and purpose, general description of product functions and users, specific requirements including functional and non-functional requirements, and analysis models including sequence diagrams, data flow diagrams, and state transition diagrams. The system will allow for student registration and management of attendance, and provide reports. It is intended to help streamline administrative tasks for the educational institution.
The document describes a project that aims to develop a smart health prediction web application using data mining concepts. It takes user inputs like age, gender, blood pressure, height, weight and exercise habits and matches them to data in a MySQL database to predict potential diseases and recommend diet and exercise plans. A rule-based methodology is used where users are categorized into different sets based on their inputs and predefined rules. The project uses HTML, CSS, JavaScript for the front-end and the MySQL database to store and retrieve user data.
A Novel Method for Creating and Recognizing User Behavior ProfilesIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
IMPLEMENTASI ALGORITMA SMARTER FOR THE DETERMINATION OF THE THESIS SUPERVISOR tankimhek
Decision making is a basis for determination / unanimity that has a value or criteria that have a weight that can describe a person's ability and intellectual(AnantadanWiniarti, 2013)..This study aims to design and implement a simple multi attribute attribute rating technique exploiting rank (SMARTER) for the determination of the supervisor lecturer. This SMARTER method is a multi-criteria method which consists of several criteria where each criterion contains values and weights that are used to compare the values between the criteria for lecturers and others. The calculation method data is analyzed and designed using the Rank-Order Centroid (ROC) method with a simple mathematical procedure and produces a major priority of several attributes in the form of a range. The results of the study can be concluded that the greatest utility value of each lecturer can be determined as a supervisor. This system only discusses the selection of thesis supervisors and there is no gender separation for students and supervisors. Database uses SQL Server 2005 and programming using the Visual Basic 2008 language.
IRJET- An Efficient Ensemble Machine Learning System for Restaurant Recom...IRJET Journal
This document discusses building an efficient machine learning system for restaurant recommendations. It analyzes different ensemble machine learning models including stochastic gradient descent and random forest on Yelp restaurant review data from Phoenix and Scottsdale, USA. The random forest model achieved the best accuracy with a mean square error of 2.633 for Phoenix and 2.518 for Scottsdale. The document also outlines various recommendation techniques like matrix factorization, latent factor models, and converting it to a regression problem to predict restaurant ratings.
IRJET- Syllabus and Timetable Generation SystemIRJET Journal
The document describes a proposed system called the Syllabus and Timetable Generation System that aims to automatically generate timetables and syllabi for educational institutions. It uses an algorithm that takes inputs like number of classes, subjects, days in a week, and lectures per day to randomly generate timetables for multiple classes without clashes. The algorithm employs recursion to prevent clashes across class timetables. It also includes a static faculty assignment method. The proposed system was able to automatically generate timetables and syllabi for 4 classes with 10 subjects, demonstrating the effectiveness of the algorithm in solving the complex task of timetable scheduling.
This document describes the design of an online expert system for career guidance. The system extracts information about colleges in Pondicherry from their websites using pattern matching and parsing techniques. It structures the extracted information and develops a rule-based knowledge base. The system takes inputs from users and provides career guidance by matching the user's details to the knowledge base and rules. It was tested on sample queries and found to provide accurate guidance for undergraduate course selection.
This paper proposes using fuzzy cognitive maps (FCM) to automatically detect a student's learning style in an adaptive e-learning system based on the Felder-Silverman learning style model. FCM is a soft computing technique that combines fuzzy logic and neural networks. The paper reviews related work on automatic detection of learning styles. It then explains how FCM would be used to model student behaviors and interactions to identify their learning style dimensions. The results of testing this approach are discussed. The overall goal is to personalize the e-learning experience based on a student's detected learning style.
The state of the art in integrating machine learning into visual analyticsCagatay Turkay
Slides for my talk on our paper at EuroVis 2017 on the STAR track:
Endert, A., Ribarsky, W., Turkay, C., Wong, B.L., Nabney, I., Blanco, I.D. and Rossi, F., 2017, March. The state of the art in integrating machine learning into visual analytics. In Computer Graphics Forum.
http://openaccess.city.ac.uk/16739/
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Abstract The main objective of higher education institutions is to provide quality education to its students. The faculties employed by the educational institute’s plays the dominant role to achieve highest level of quality in higher education. The faculty having excellent subject knowledge and teaching skills have the major impact upon the performance of students resulting in good academic results, placements and hereby increasing the quality intake of students. This paper will assist the academic planners in distribution of subjects among the faculties in the department such that the students can make the optimum use of faculty knowledge, experience and teaching skills to reach the new heights. Keywords: Data Mining, Business Intelligence, WEKA, Data Visualization, Decision Tree, J48.
Paper Gloria Cea - Goal-Oriented Design Methodology Applied to User Interface...WTHS
This document describes a user interface designed for a mobile application called the Functional Assessment System (FAS). The FAS allows users to assess their aerobic fitness on their own without specialized equipment. The design of the mobile application interface was guided by the Goal-Oriented Design methodology. This methodology focuses on representing users as characters with specific goals and designing scenarios to help users achieve those goals. The document also discusses evaluating the usability of the interface using the AttrakDiff questionnaire to assess pragmatic and hedonic qualities. The results showed satisfactory user interaction with the FAS mobile application interface.
Detailed structure applicable to hybrid recommendation techniqueIAEME Publication
This document discusses a hybrid recommendation technique that combines content-based filtering, collaborative filtering, and demographic techniques to provide personalized point of interest (POI) recommendations for tourists. The technique uses a three-part process: 1) querying tourists for preferences and trip constraints, 2) using the tourist information to score POIs from each recommendation technique, and 3) clustering the top POIs to find the optimal trip area. The proposed hybrid approach aims to automatically select the most personalized POIs for tourists based on their initial information.
This chapter provides an overview of conceptual approaches and theoretical foundations for EUIS project management. It discusses six conceptual approaches to systems analysis: organizational communications, functional, decision support, information resource management, quality of work life, and management of computing resources. General systems theory is also covered, defining a system and discussing characteristics like open/closed systems and entropy. Coordination theory and action research are introduced as additional frameworks. The EUIS project management method is outlined as applying these theories through eight steps with deliverables, from defining the project scope to institutionalizing results.
IRJET- Comparison of Classification Algorithms using Machine LearningIRJET Journal
This document compares several machine learning classification algorithms. It first provides background on machine learning and describes common algorithms like linear regression, support vector machines, and decision trees. It then outlines an experimental framework in Python using libraries like Pandas, Scikit-Learn, and Matplotlib. Various classification algorithms are applied to a dataset and their test and train errors are calculated and compared to determine the most accurate algorithm. The proposed algorithm is found to have the lowest test and train errors compared to other algorithms like ridge regression, KNN, Bayesian regression, decision trees, and SVM.
SOA-A GENERIC APPROACH FOR INTEGRATING LOOSELY COUPLED SYSTEMS WITH OTHER SYS...ijwscjournal
Various organizations generate data in various domains which is queried and analyzed by users. This limits the possibility of database integration with other systems. We describes a generalized approach comprising a loosely couples system and integrate with other system. It deals with the setting up the environment for implementing the system. User Interface screen shows how the user will interact with the system and the data
entry forms required to gather data for the system.
SOA-A GENERIC APPROACH FOR INTEGRATING LOOSELY COUPLED SYSTEMS WITH OTHER SYS...ijwscjournal
The document discusses integrating loosely coupled systems using a service-oriented architecture (SOA) approach. It proposes a generalized model to integrate various data sources related to a student admission process. The model uses SOA and web services to integrate student application, merit list generation, admission, and banking modules without changing their underlying business logic. This allows retrieving a student's application status, checking if they are on the merit list, assessing financial status, and recommending an education loan from compared banking options if needed. The integrated system provides a single interface to get information previously spread across different platforms and applications.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
IJREI_Selection model for material handling equipment’s used in flexible manu...Husain Mehdi
Material handling (MH) is important issue for every production site and has a great dependence upon the layout of the system. The important issue in the design of MH system is the selection of material handling equipment for every MH operation. Based upon the literature survey in this area, our purpose is to focus on the evaluation of the MHS-Layout of the system, due to their strong interdependence. The aim of this paper is to present a method for selection of material handling equipment (MHE) for flexible manufacturing system. In the first phase, the system consider major issues, rate of transfer, average time to transfer, flexibility etc., which is essential for the system. In second phase, the system selects the most feasible MHE types for every MH operation in a given application depends upon these major issues using fuzzy logic controller.
An unsupervised feature selection algorithm with feature ranking for maximizi...Asir Singh
Prediction plays a vital role in decision making. Correct prediction leads to right decision making to save the life, energy,
efforts, money and time. The right decision prevents physical and material losses and it is practiced in all the fields including medical,
finance, environmental studies, engineering and emerging technologies. Prediction is carried out by a model called classifier. The
predictive accuracy of the classifier highly depends on the training datasets utilized for training the classifier. The irrelevant and
redundant features of the training dataset reduce the accuracy of the classifier. Hence, the irrelevant and redundant features must be
removed from the training dataset through the process known as feature selection. This paper proposes a feature selection algorithm
namely unsupervised learning with ranking based feature selection (FSULR). It removes redundant features by clustering and eliminates
irrelevant features by statistical measures to select the most significant features from the training dataset. The performance of this
proposed algorithm is compared with the other seven feature selection algorithms by well known classifiers namely naive Bayes (NB),
instance based (IB1) and tree based J48. Experimental results show that the proposed algorithm yields better prediction accuracy for
classifiers.
The feature selection or extraction is the most important task in Opinion mining and Sentimental Analysis
(OSMA) for calculating the polarity score. These scores are used to determine the positive, negative, and
neutral polarity about the product, user reviews, user comments, and etc., in social media for the purpose
of decision making and Business Intelligence to individuals or organizations. In this paper, we have
performed an experimental study for different feature extraction or selection techniques available for
opinion mining task. This experimental study is carried out in four stages. First, the data collection process
has been done from readily available sources. Second, the pre-processing techniques are applied
automatically using the tools to extract the terms, POS (Parts-of-Speech). Third, different feature selection
or extraction techniques are applied over the content. Finally, the empirical study is carried out for
analyzing the sentiment polarity with different features.
Recommendation based on Clustering and Association RulesIJARIIE JOURNAL
This document proposes a hybrid recommendation framework that uses both clustering and association rule mining. It first clusters users using the k-means algorithm to group similar users together. It then applies the Eclat algorithm to generate frequent itemsets and association rules from the user-item data. These association rules are used to make recommendations to users. The framework aims to address issues like sparsity and cold start problems. An experimental study compares the performance of the Eclat and Apriori algorithms on recommendation quality and execution time. The proposed approach integrates clustering and association rule mining to provide more accurate recommendations.
This document provides a software requirements specification for an Attendance Management System being developed for JSS Academy of Technical Education. It includes sections on introduction and purpose, general description of product functions and users, specific requirements including functional and non-functional requirements, and analysis models including sequence diagrams, data flow diagrams, and state transition diagrams. The system will allow for student registration and management of attendance, and provide reports. It is intended to help streamline administrative tasks for the educational institution.
The document describes a project that aims to develop a smart health prediction web application using data mining concepts. It takes user inputs like age, gender, blood pressure, height, weight and exercise habits and matches them to data in a MySQL database to predict potential diseases and recommend diet and exercise plans. A rule-based methodology is used where users are categorized into different sets based on their inputs and predefined rules. The project uses HTML, CSS, JavaScript for the front-end and the MySQL database to store and retrieve user data.
A Novel Method for Creating and Recognizing User Behavior ProfilesIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
IMPLEMENTASI ALGORITMA SMARTER FOR THE DETERMINATION OF THE THESIS SUPERVISOR tankimhek
Decision making is a basis for determination / unanimity that has a value or criteria that have a weight that can describe a person's ability and intellectual(AnantadanWiniarti, 2013)..This study aims to design and implement a simple multi attribute attribute rating technique exploiting rank (SMARTER) for the determination of the supervisor lecturer. This SMARTER method is a multi-criteria method which consists of several criteria where each criterion contains values and weights that are used to compare the values between the criteria for lecturers and others. The calculation method data is analyzed and designed using the Rank-Order Centroid (ROC) method with a simple mathematical procedure and produces a major priority of several attributes in the form of a range. The results of the study can be concluded that the greatest utility value of each lecturer can be determined as a supervisor. This system only discusses the selection of thesis supervisors and there is no gender separation for students and supervisors. Database uses SQL Server 2005 and programming using the Visual Basic 2008 language.
IRJET- An Efficient Ensemble Machine Learning System for Restaurant Recom...IRJET Journal
This document discusses building an efficient machine learning system for restaurant recommendations. It analyzes different ensemble machine learning models including stochastic gradient descent and random forest on Yelp restaurant review data from Phoenix and Scottsdale, USA. The random forest model achieved the best accuracy with a mean square error of 2.633 for Phoenix and 2.518 for Scottsdale. The document also outlines various recommendation techniques like matrix factorization, latent factor models, and converting it to a regression problem to predict restaurant ratings.
IRJET- Syllabus and Timetable Generation SystemIRJET Journal
The document describes a proposed system called the Syllabus and Timetable Generation System that aims to automatically generate timetables and syllabi for educational institutions. It uses an algorithm that takes inputs like number of classes, subjects, days in a week, and lectures per day to randomly generate timetables for multiple classes without clashes. The algorithm employs recursion to prevent clashes across class timetables. It also includes a static faculty assignment method. The proposed system was able to automatically generate timetables and syllabi for 4 classes with 10 subjects, demonstrating the effectiveness of the algorithm in solving the complex task of timetable scheduling.
This document describes the design of an online expert system for career guidance. The system extracts information about colleges in Pondicherry from their websites using pattern matching and parsing techniques. It structures the extracted information and develops a rule-based knowledge base. The system takes inputs from users and provides career guidance by matching the user's details to the knowledge base and rules. It was tested on sample queries and found to provide accurate guidance for undergraduate course selection.
This paper proposes using fuzzy cognitive maps (FCM) to automatically detect a student's learning style in an adaptive e-learning system based on the Felder-Silverman learning style model. FCM is a soft computing technique that combines fuzzy logic and neural networks. The paper reviews related work on automatic detection of learning styles. It then explains how FCM would be used to model student behaviors and interactions to identify their learning style dimensions. The results of testing this approach are discussed. The overall goal is to personalize the e-learning experience based on a student's detected learning style.
The state of the art in integrating machine learning into visual analyticsCagatay Turkay
Slides for my talk on our paper at EuroVis 2017 on the STAR track:
Endert, A., Ribarsky, W., Turkay, C., Wong, B.L., Nabney, I., Blanco, I.D. and Rossi, F., 2017, March. The state of the art in integrating machine learning into visual analytics. In Computer Graphics Forum.
http://openaccess.city.ac.uk/16739/
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Abstract The main objective of higher education institutions is to provide quality education to its students. The faculties employed by the educational institute’s plays the dominant role to achieve highest level of quality in higher education. The faculty having excellent subject knowledge and teaching skills have the major impact upon the performance of students resulting in good academic results, placements and hereby increasing the quality intake of students. This paper will assist the academic planners in distribution of subjects among the faculties in the department such that the students can make the optimum use of faculty knowledge, experience and teaching skills to reach the new heights. Keywords: Data Mining, Business Intelligence, WEKA, Data Visualization, Decision Tree, J48.
Paper Gloria Cea - Goal-Oriented Design Methodology Applied to User Interface...WTHS
This document describes a user interface designed for a mobile application called the Functional Assessment System (FAS). The FAS allows users to assess their aerobic fitness on their own without specialized equipment. The design of the mobile application interface was guided by the Goal-Oriented Design methodology. This methodology focuses on representing users as characters with specific goals and designing scenarios to help users achieve those goals. The document also discusses evaluating the usability of the interface using the AttrakDiff questionnaire to assess pragmatic and hedonic qualities. The results showed satisfactory user interaction with the FAS mobile application interface.
Detailed structure applicable to hybrid recommendation techniqueIAEME Publication
This document discusses a hybrid recommendation technique that combines content-based filtering, collaborative filtering, and demographic techniques to provide personalized point of interest (POI) recommendations for tourists. The technique uses a three-part process: 1) querying tourists for preferences and trip constraints, 2) using the tourist information to score POIs from each recommendation technique, and 3) clustering the top POIs to find the optimal trip area. The proposed hybrid approach aims to automatically select the most personalized POIs for tourists based on their initial information.
This chapter provides an overview of conceptual approaches and theoretical foundations for EUIS project management. It discusses six conceptual approaches to systems analysis: organizational communications, functional, decision support, information resource management, quality of work life, and management of computing resources. General systems theory is also covered, defining a system and discussing characteristics like open/closed systems and entropy. Coordination theory and action research are introduced as additional frameworks. The EUIS project management method is outlined as applying these theories through eight steps with deliverables, from defining the project scope to institutionalizing results.
Human computer interaction (HCI) is concerned with the practice of usability, which is a measure that evaluates the simplicity of using a system, software, or interface design for performing particular tasks. Evaluation is a process by which designers gather information about a systems usability to improve its user interfaces features. This research presents a study of a usability evaluation of EduGate, an online academic portal of King Saud University. In this research the heuristic evaluation method was chosen to evaluate the usability of the EduGate. Our results show that, the EduGate suffers from certain usability problem and some recommendations were proposed to enhance the usability of the EduGate. A questionnaire was then used to collect the feedback of real users (i.e. students) on the value of these recommendations. The participants supported 80% of the proposed recommendations to improve the usability of the EduGate.
A HEURISTIC-BASED APPROACH FOR USABILITY EVALUATION OF ACADEMIC PORTALSijcsit
Human computer interaction (HCI) is concerned with the practice of usability, which is a measure that evaluates the simplicity of using a system, software, or interface design for performing particular tasks. Evaluation is a process by which designers gather information about a systems usability to improve its user interfaces features. This research presents a study of a usability evaluation of EduGate, an online academic portal of King Saud University. In this research the heuristic evaluation method was chosen to evaluate the usability of the EduGate. Our results show that, the EduGate suffers from certain usability problem and some recommendations were proposed to enhance the usability of the EduGate. A questionnaire was then used to collect the feedback of real users (i.e. students) on the value of these recommendations. The participants supported 80% of the proposed recommendations to improve the usability of the EduGate.
Human computer interaction (HCI) is concerned with the practice of usability, which is a measure that
evaluates the simplicity of using a system, software, or interface design for performing particular tasks.
Evaluation is a process by which designers gather information about a systems usability to improve its user
interfaces features. This research presents a study of a usability evaluation of EduGate, an online
academic portal of King Saud University. In this research the heuristic evaluation method was chosen to
evaluate the usability of the EduGate. Our results show that, the EduGate suffers from certain usability
problem and some recommendations were proposed to enhance the usability of the EduGate. A
questionnaire was then used to collect the feedback of real users (i.e. students) on the value of these
recommendations. The participants supported 80% of the proposed recommendations to improve the
usability of the EduGate.
UI/UX integrated holistic monitoring of PAUD using the TCSD methodjournalBEEI
User interface (UI)/user experience (UX) is one part of the stages in the development of the system to produce interactive and attractive web-based application layouts so that it is easy to understand and use by users. In this research, a case study was conducted on early childhood in PAUD Kuntum Mekar. The design of the UI/UX model for holistic integrative PAUD monitoring becomes one of the solutions to help parents and teachers. The method used to design UI/UX is the task centered system design (TCSD) approach starting from the stages; 1) identification scope of use, 2) user centered requirement analysis, 3) design and scenario, and 4) walkthrough evaluate, the method used for system testing is user satisfaction, and heuristic usability. The purpose of this study is the UI/UX design with TCSD can provide valid data needs of each actor based on the assignment and design of the story board of the developed system. The results of this research are UI/UX model design for integrative holistic PAUD monitoring application.
This document discusses the development of autonomous systems and the importance of architecture in their design and implementation. It reviews how automation systems have evolved over time and highlights three key aspects for building autonomous system architectures: extensibility, evolvability, and collaborability. The document then presents an architecture for an autonomous waterborne transportation system composed of four layers - object, cyberspace, cognition, and application - designed according to these principles to allow the system to autonomously complete functions like control and transportation services.
An experimental usability_test_for_different_destinationUzma Abidi
This document describes a study that evaluated different variants of a travel recommendation system using usability testing. The study tested 3 variants of the system - one with query functions only, one with single item recommendations, and one that allowed exploring full travel recommendations. Users completed tasks in each system and provided subjective feedback via a questionnaire. Objective interaction data was also collected. The study aimed to test if the recommendation variants helped users find suitable items more easily and efficiently, and if they facilitated constructing satisfying travel plans. Findings would provide insights into how to improve the system.
Hybrid-e-greedy for mobile context-aware recommender systemBouneffouf Djallel
This document proposes a hybrid-ε-greedy algorithm for mobile context-aware recommender systems that combines bandit algorithms and case-based reasoning. It summarizes related works that aim to follow the evolution of user interests or manage the user's context, but not both. The proposed approach uses case-based reasoning to consider the user's context in the bandit algorithm's exploration-exploitation strategy. It also uses content-based filtering with the ε-greedy algorithm.
An efficient information retrieval ontology system based indexing for contexteSAT Journals
Abstract Many of the research or development projects are constructed and vast type of artifacts are released such as article, patent, report of research, conference papers, journal papers, experimental data and so on. The searching of the particular context through the keywords from the repository is not an easy task because the earliest system the problem of huge recalls with low precision. This paper challenges to construct a search algorithm based on the ontology to retrieve the relevant contexts. Ontology's are great knowledge of retrieving the context. In this paper, we utilize the WordNet ontology to retrieve the relevant contexts from the document repository. It is very difficult to retrieve the relevant context in its original format since we use the pre-processing step, which helps to retrieve context. The pre-processing step includes two major steps first one is stop word removal and the second one is stemming process. The outcome of the pre-processing step is indexing consist of important keywords and their corresponding keywords. When the user enter the keyword to the system, the ontology makes the several steps to make the refine keywords. Finally, the refine keywords are matched with index and relevant contexts are retrieved. The experimentation process is carried out with the help of different set of contexts to achieve the results and the performance analysis of the proposed approach is estimated by the evaluation metrics like precision, recall and F-measure. Keywords— Ontologies; WordNet; contexts; stemming; indexing.
A framework for software usability and ux measurement in mobile indystrysmk bam
This document presents a framework to help the mobile industry design software usability and user experience (UX) measurement instruments. It aims to address challenges from inconsistent definitions of usability and UX attributes, and a lack of taxonomy linking attributes to defined measures. The framework first unifies terminology and definitions for attributes from literature. It then creates a taxonomy of attributes and sub-attributes. Using the Goal Question Metric approach, it identifies questions and measures for each attribute that can form the basis for developing measurement instruments. The framework was evaluated through a case study with a mobile usability company in Sweden.
A survey of memory based methods for collaborative filtering based techniquesIAEME Publication
This document summarizes a study that evaluates three collaborative filtering techniques - Euclidean distance, Pearson correlation, and cosine similarity. The study uses a movie rating dataset to calculate similarities between users and generate predictions for unseen movie ratings. The techniques are evaluated by comparing actual ratings to predicted ratings on a test set of 120 movie ratings. The mean absolute error and number of predictions within certain deviation thresholds are used to assess accuracy. The process is repeated three times to arrive at a conclusion on the relative performance of the three similarity measures for collaborative filtering.
We examine the problem of weaknesses in frameworks of conceptual modeling for handling certain aspects of the system being modeled. We propose the use of a flow-based modeling methodology at the conceptual level. Specifically, and without loss of generality, we develop a conceptual description that can be used for controlling the maintenance of a physical system, and demonstrate it by applying it to an existing electrical power plant system. Recent studies reveal difficulties in finding comprehensive answers for monitoring operations and identifying risks as well as the fact that incomplete information can easily lead to incorrect maintenance. A unified framework for integrated conceptualization is therefore needed. The conceptual modeling approach integrates maintenance operations into a total system comprising humans, physical objects, and information. The proposed model is constructed of (abstract) machines of “things” connected by flows, forming an integrated whole. It represents a man-made, intentionally constructed system and includes technical and human “things” observable in the real world, exemplified by the study case described in this paper. A specification is constructed from a maximum of five basic operations: creation, processing, releasing, transferring, and receiving.
A METHOD FOR WEBSITE USABILITY EVALUATION: A COMPARATIVE ANALYSISIJwest
ABSTRACT
Graphical user interfaces design in software development process focuses on maximizing usability and the user's experience, in order to make the interaction for users easy, flexible and efficient. In this paper, we propose an approach for evaluating the usability satisfaction degree of a web-based system. The proposed method has been accomplished in two phases and implemented on an airlines website as a case study. In the first phase, a website usability test is implemented by a number of users, and then the results obtained are translated into charts for a final web-based system evaluation in the second phase. The results achieved
were satisfactory, since the places where the weaknesses and gaps in the website are identified and recommended solutions to avoid them are drawn. The authenticity of the results have been confirmed by comparing them with user opinions acquired from a questionnaire, which proves the precision in which the website is rated.
User Experience Evaluation for Automation Tools: An Industrial ExperienceIJCI JOURNAL
Evaluating the User Experience in some contexts is challenging, especially in automation applications, due to specific situations and requirements. This paper presents an experience of applying the UX evaluation method for an automation tool in the Android software industry to assist software engineers in identifying the UX problems faced by users. The work applies heuristic evaluation, survey, and user interview methods to find the UX problems, understand the respective reasons, validate the given information, and finally assess the UX. The evaluation identified critical problems related to error messages, system response to errors, and proper feedback about what software is doing. The found problems and discussions contributed to developing new UX evaluation methodologies.
2012 in tech-usability_of_interfaces (1)Mahesh Kate
This document discusses usability of interfaces and provides three key points:
1. It defines usability and outlines several principles and heuristics for designing usable interfaces, including consistency, feedback, and reducing cognitive load.
2. It summarizes international usability standards like ISO 9241-11 that emphasize evaluating usability based on effectiveness, efficiency, and satisfaction within a usage context.
3. It describes user-centered design as a methodology focused on understanding users and specifying requirements to produce designs that are then evaluated iteratively.
Recommender systems: a novel approach based on singular value decompositionIJECEIAES
Due to modern information and communication technologies (ICT), it is increasingly easier to exchange data and have new services available through the internet. However, the amount of data and services available increases the difficulty of finding what one needs. In this context, recommender systems represent the most promising solutions to overcome the problem of the so-called information overload, analyzing users' needs and preferences. Recommender systems (RS) are applied in different sectors with the same goal: to help people make choices based on an analysis of their behavior or users' similar characteristics or interests. This work presents a different approach for predicting ratings within the model-based collaborative filtering, which exploits singular value factorization. In particular, rating forecasts were generated through the characteristics related to users and items without the support of available ratings. The proposed method is evaluated through the MovieLens100K dataset performing an accuracy of 0.766 and 0.951 in terms of mean absolute error and root-mean-square error.
Usability requirements and their elicitationLucas Machado
The document discusses two issues regarding usability requirements elicitation: 1) the relationship between usability testing and requirements elicitation, and 2) identifying the most suitable elicitation methodology for different projects. Regarding the first issue, it describes six styles of eliciting requirements and how usability testing can validate and refine initial requirements. For the second issue, it compares frameworks for evaluating methodologies based on factors like project environment and quality of elicited details.
- C1.1 Project characteristics (size, budget, etc.)
- C1.2 Organizational characteristics
- C1.3 User characteristics
B. Characteristics: This refers to the intrinsic
characteristics of the methodology/method. Three
Implementing sharing platform based on ontology using a sequential recommende...IJECEIAES
While recommender systems have shown success in many fields, accurate recommendations in industrial settings remain challenging. In maintenance, existing techniques often struggle with the “cold start” problem and fail to consider differences in the target population's characteristics. To address this, additional user information can be incorporated into the recommendation process. This paper proposes a recommender system for recommending repair actions to technicians based on an ontology (knowledge base) and a sequential model. The approach utilizes two ontologies, one representing failure knowledge and the other representing asset attributes. The proposed method involves two steps: i) calculating score similarity based on ontology domain knowledge to make predictions for targeted failures and ii) generating Top-N repair actions through collaborative filtering recommendations for targeted failures. An additional module was implemented to evaluate the recommender system, and results showed improved performance.
Similar to Enhanced model for ergonomic evaluation of information systems: application to scientific research information system (20)
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Neural network optimizer of proportional-integral-differential controller par...IJECEIAES
Wide application of proportional-integral-differential (PID)-regulator in industry requires constant improvement of methods of its parameters adjustment. The paper deals with the issues of optimization of PID-regulator parameters with the use of neural network technology methods. A methodology for choosing the architecture (structure) of neural network optimizer is proposed, which consists in determining the number of layers, the number of neurons in each layer, as well as the form and type of activation function. Algorithms of neural network training based on the application of the method of minimizing the mismatch between the regulated value and the target value are developed. The method of back propagation of gradients is proposed to select the optimal training rate of neurons of the neural network. The neural network optimizer, which is a superstructure of the linear PID controller, allows increasing the regulation accuracy from 0.23 to 0.09, thus reducing the power consumption from 65% to 53%. The results of the conducted experiments allow us to conclude that the created neural superstructure may well become a prototype of an automatic voltage regulator (AVR)-type industrial controller for tuning the parameters of the PID controller.
An improved modulation technique suitable for a three level flying capacitor ...IJECEIAES
This research paper introduces an innovative modulation technique for controlling a 3-level flying capacitor multilevel inverter (FCMLI), aiming to streamline the modulation process in contrast to conventional methods. The proposed
simplified modulation technique paves the way for more straightforward and
efficient control of multilevel inverters, enabling their widespread adoption and
integration into modern power electronic systems. Through the amalgamation of
sinusoidal pulse width modulation (SPWM) with a high-frequency square wave
pulse, this controlling technique attains energy equilibrium across the coupling
capacitor. The modulation scheme incorporates a simplified switching pattern
and a decreased count of voltage references, thereby simplifying the control
algorithm.
A review on features and methods of potential fishing zoneIJECEIAES
This review focuses on the importance of identifying potential fishing zones in seawater for sustainable fishing practices. It explores features like sea surface temperature (SST) and sea surface height (SSH), along with classification methods such as classifiers. The features like SST, SSH, and different classifiers used to classify the data, have been figured out in this review study. This study underscores the importance of examining potential fishing zones using advanced analytical techniques. It thoroughly explores the methodologies employed by researchers, covering both past and current approaches. The examination centers on data characteristics and the application of classification algorithms for classification of potential fishing zones. Furthermore, the prediction of potential fishing zones relies significantly on the effectiveness of classification algorithms. Previous research has assessed the performance of models like support vector machines, naïve Bayes, and artificial neural networks (ANN). In the previous result, the results of support vector machine (SVM) were 97.6% more accurate than naive Bayes's 94.2% to classify test data for fisheries classification. By considering the recent works in this area, several recommendations for future works are presented to further improve the performance of the potential fishing zone models, which is important to the fisheries community.
Electrical signal interference minimization using appropriate core material f...IJECEIAES
As demand for smaller, quicker, and more powerful devices rises, Moore's law is strictly followed. The industry has worked hard to make little devices that boost productivity. The goal is to optimize device density. Scientists are reducing connection delays to improve circuit performance. This helped them understand three-dimensional integrated circuit (3D IC) concepts, which stack active devices and create vertical connections to diminish latency and lower interconnects. Electrical involvement is a big worry with 3D integrates circuits. Researchers have developed and tested through silicon via (TSV) and substrates to decrease electrical wave involvement. This study illustrates a novel noise coupling reduction method using several electrical involvement models. A 22% drop in electrical involvement from wave-carrying to victim TSVs introduces this new paradigm and improves system performance even at higher THz frequencies.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Bibliometric analysis highlighting the role of women in addressing climate ch...IJECEIAES
Fossil fuel consumption increased quickly, contributing to climate change
that is evident in unusual flooding and draughts, and global warming. Over
the past ten years, women's involvement in society has grown dramatically,
and they succeeded in playing a noticeable role in reducing climate change.
A bibliometric analysis of data from the last ten years has been carried out to
examine the role of women in addressing the climate change. The analysis's
findings discussed the relevant to the sustainable development goals (SDGs),
particularly SDG 7 and SDG 13. The results considered contributions made
by women in the various sectors while taking geographic dispersion into
account. The bibliometric analysis delves into topics including women's
leadership in environmental groups, their involvement in policymaking, their
contributions to sustainable development projects, and the influence of
gender diversity on attempts to mitigate climate change. This study's results
highlight how women have influenced policies and actions related to climate
change, point out areas of research deficiency and recommendations on how
to increase role of the women in addressing the climate change and
achieving sustainability. To achieve more successful results, this initiative
aims to highlight the significance of gender equality and encourage
inclusivity in climate change decision-making processes.
Voltage and frequency control of microgrid in presence of micro-turbine inter...IJECEIAES
The active and reactive load changes have a significant impact on voltage
and frequency. In this paper, in order to stabilize the microgrid (MG) against
load variations in islanding mode, the active and reactive power of all
distributed generators (DGs), including energy storage (battery), diesel
generator, and micro-turbine, are controlled. The micro-turbine generator is
connected to MG through a three-phase to three-phase matrix converter, and
the droop control method is applied for controlling the voltage and
frequency of MG. In addition, a method is introduced for voltage and
frequency control of micro-turbines in the transition state from gridconnected mode to islanding mode. A novel switching strategy of the matrix
converter is used for converting the high-frequency output voltage of the
micro-turbine to the grid-side frequency of the utility system. Moreover,
using the switching strategy, the low-order harmonics in the output current
and voltage are not produced, and consequently, the size of the output filter
would be reduced. In fact, the suggested control strategy is load-independent
and has no frequency conversion restrictions. The proposed approach for
voltage and frequency regulation demonstrates exceptional performance and
favorable response across various load alteration scenarios. The suggested
strategy is examined in several scenarios in the MG test systems, and the
simulation results are addressed.
Enhancing battery system identification: nonlinear autoregressive modeling fo...IJECEIAES
Precisely characterizing Li-ion batteries is essential for optimizing their
performance, enhancing safety, and prolonging their lifespan across various
applications, such as electric vehicles and renewable energy systems. This
article introduces an innovative nonlinear methodology for system
identification of a Li-ion battery, employing a nonlinear autoregressive with
exogenous inputs (NARX) model. The proposed approach integrates the
benefits of nonlinear modeling with the adaptability of the NARX structure,
facilitating a more comprehensive representation of the intricate
electrochemical processes within the battery. Experimental data collected
from a Li-ion battery operating under diverse scenarios are employed to
validate the effectiveness of the proposed methodology. The identified
NARX model exhibits superior accuracy in predicting the battery's behavior
compared to traditional linear models. This study underscores the
importance of accounting for nonlinearities in battery modeling, providing
insights into the intricate relationships between state-of-charge, voltage, and
current under dynamic conditions.
Smart grid deployment: from a bibliometric analysis to a surveyIJECEIAES
Smart grids are one of the last decades' innovations in electrical energy.
They bring relevant advantages compared to the traditional grid and
significant interest from the research community. Assessing the field's
evolution is essential to propose guidelines for facing new and future smart
grid challenges. In addition, knowing the main technologies involved in the
deployment of smart grids (SGs) is important to highlight possible
shortcomings that can be mitigated by developing new tools. This paper
contributes to the research trends mentioned above by focusing on two
objectives. First, a bibliometric analysis is presented to give an overview of
the current research level about smart grid deployment. Second, a survey of
the main technological approaches used for smart grid implementation and
their contributions are highlighted. To that effect, we searched the Web of
Science (WoS), and the Scopus databases. We obtained 5,663 documents
from WoS and 7,215 from Scopus on smart grid implementation or
deployment. With the extraction limitation in the Scopus database, 5,872 of
the 7,215 documents were extracted using a multi-step process. These two
datasets have been analyzed using a bibliometric tool called bibliometrix.
The main outputs are presented with some recommendations for future
research.
Use of analytical hierarchy process for selecting and prioritizing islanding ...IJECEIAES
One of the problems that are associated to power systems is islanding
condition, which must be rapidly and properly detected to prevent any
negative consequences on the system's protection, stability, and security.
This paper offers a thorough overview of several islanding detection
strategies, which are divided into two categories: classic approaches,
including local and remote approaches, and modern techniques, including
techniques based on signal processing and computational intelligence.
Additionally, each approach is compared and assessed based on several
factors, including implementation costs, non-detected zones, declining
power quality, and response times using the analytical hierarchy process
(AHP). The multi-criteria decision-making analysis shows that the overall
weight of passive methods (24.7%), active methods (7.8%), hybrid methods
(5.6%), remote methods (14.5%), signal processing-based methods (26.6%),
and computational intelligent-based methods (20.8%) based on the
comparison of all criteria together. Thus, it can be seen from the total weight
that hybrid approaches are the least suitable to be chosen, while signal
processing-based methods are the most appropriate islanding detection
method to be selected and implemented in power system with respect to the
aforementioned factors. Using Expert Choice software, the proposed
hierarchy model is studied and examined.
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...IJECEIAES
The power generated by photovoltaic (PV) systems is influenced by
environmental factors. This variability hampers the control and utilization of
solar cells' peak output. In this study, a single-stage grid-connected PV
system is designed to enhance power quality. Our approach employs fuzzy
logic in the direct power control (DPC) of a three-phase voltage source
inverter (VSI), enabling seamless integration of the PV connected to the
grid. Additionally, a fuzzy logic-based maximum power point tracking
(MPPT) controller is adopted, which outperforms traditional methods like
incremental conductance (INC) in enhancing solar cell efficiency and
minimizing the response time. Moreover, the inverter's real-time active and
reactive power is directly managed to achieve a unity power factor (UPF).
The system's performance is assessed through MATLAB/Simulink
implementation, showing marked improvement over conventional methods,
particularly in steady-state and varying weather conditions. For solar
irradiances of 500 and 1,000 W/m2
, the results show that the proposed
method reduces the total harmonic distortion (THD) of the injected current
to the grid by approximately 46% and 38% compared to conventional
methods, respectively. Furthermore, we compare the simulation results with
IEEE standards to evaluate the system's grid compatibility.
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...IJECEIAES
Photovoltaic systems have emerged as a promising energy resource that
caters to the future needs of society, owing to their renewable, inexhaustible,
and cost-free nature. The power output of these systems relies on solar cell
radiation and temperature. In order to mitigate the dependence on
atmospheric conditions and enhance power tracking, a conventional
approach has been improved by integrating various methods. To optimize
the generation of electricity from solar systems, the maximum power point
tracking (MPPT) technique is employed. To overcome limitations such as
steady-state voltage oscillations and improve transient response, two
traditional MPPT methods, namely fuzzy logic controller (FLC) and perturb
and observe (P&O), have been modified. This research paper aims to
simulate and validate the step size of the proposed modified P&O and FLC
techniques within the MPPT algorithm using MATLAB/Simulink for
efficient power tracking in photovoltaic systems.
Adaptive synchronous sliding control for a robot manipulator based on neural ...IJECEIAES
Robot manipulators have become important equipment in production lines, medical fields, and transportation. Improving the quality of trajectory tracking for
robot hands is always an attractive topic in the research community. This is a
challenging problem because robot manipulators are complex nonlinear systems
and are often subject to fluctuations in loads and external disturbances. This
article proposes an adaptive synchronous sliding control scheme to improve trajectory tracking performance for a robot manipulator. The proposed controller
ensures that the positions of the joints track the desired trajectory, synchronize
the errors, and significantly reduces chattering. First, the synchronous tracking
errors and synchronous sliding surfaces are presented. Second, the synchronous
tracking error dynamics are determined. Third, a robust adaptive control law is
designed,the unknown components of the model are estimated online by the neural network, and the parameters of the switching elements are selected by fuzzy
logic. The built algorithm ensures that the tracking and approximation errors
are ultimately uniformly bounded (UUB). Finally, the effectiveness of the constructed algorithm is demonstrated through simulation and experimental results.
Simulation and experimental results show that the proposed controller is effective with small synchronous tracking errors, and the chattering phenomenon is
significantly reduced.
Remote field-programmable gate array laboratory for signal acquisition and de...IJECEIAES
A remote laboratory utilizing field-programmable gate array (FPGA) technologies enhances students’ learning experience anywhere and anytime in embedded system design. Existing remote laboratories prioritize hardware access and visual feedback for observing board behavior after programming, neglecting comprehensive debugging tools to resolve errors that require internal signal acquisition. This paper proposes a novel remote embeddedsystem design approach targeting FPGA technologies that are fully interactive via a web-based platform. Our solution provides FPGA board access and debugging capabilities beyond the visual feedback provided by existing remote laboratories. We implemented a lab module that allows users to seamlessly incorporate into their FPGA design. The module minimizes hardware resource utilization while enabling the acquisition of a large number of data samples from the signal during the experiments by adaptively compressing the signal prior to data transmission. The results demonstrate an average compression ratio of 2.90 across three benchmark signals, indicating efficient signal acquisition and effective debugging and analysis. This method allows users to acquire more data samples than conventional methods. The proposed lab allows students to remotely test and debug their designs, bridging the gap between theory and practice in embedded system design.
Detecting and resolving feature envy through automated machine learning and m...IJECEIAES
Efficiently identifying and resolving code smells enhances software project quality. This paper presents a novel solution, utilizing automated machine learning (AutoML) techniques, to detect code smells and apply move method refactoring. By evaluating code metrics before and after refactoring, we assessed its impact on coupling, complexity, and cohesion. Key contributions of this research include a unique dataset for code smell classification and the development of models using AutoGluon for optimal performance. Furthermore, the study identifies the top 20 influential features in classifying feature envy, a well-known code smell, stemming from excessive reliance on external classes. We also explored how move method refactoring addresses feature envy, revealing reduced coupling and complexity, and improved cohesion, ultimately enhancing code quality. In summary, this research offers an empirical, data-driven approach, integrating AutoML and move method refactoring to optimize software project quality. Insights gained shed light on the benefits of refactoring on code quality and the significance of specific features in detecting feature envy. Future research can expand to explore additional refactoring techniques and a broader range of code metrics, advancing software engineering practices and standards.
Smart monitoring technique for solar cell systems using internet of things ba...IJECEIAES
Rapidly and remotely monitoring and receiving the solar cell systems status parameters, solar irradiance, temperature, and humidity, are critical issues in enhancement their efficiency. Hence, in the present article an improved smart prototype of internet of things (IoT) technique based on embedded system through NodeMCU ESP8266 (ESP-12E) was carried out experimentally. Three different regions at Egypt; Luxor, Cairo, and El-Beheira cities were chosen to study their solar irradiance profile, temperature, and humidity by the proposed IoT system. The monitoring data of solar irradiance, temperature, and humidity were live visualized directly by Ubidots through hypertext transfer protocol (HTTP) protocol. The measured solar power radiation in Luxor, Cairo, and El-Beheira ranged between 216-1000, 245-958, and 187-692 W/m 2 respectively during the solar day. The accuracy and rapidity of obtaining monitoring results using the proposed IoT system made it a strong candidate for application in monitoring solar cell systems. On the other hand, the obtained solar power radiation results of the three considered regions strongly candidate Luxor and Cairo as suitable places to build up a solar cells system station rather than El-Beheira.
An efficient security framework for intrusion detection and prevention in int...IJECEIAES
Over the past few years, the internet of things (IoT) has advanced to connect billions of smart devices to improve quality of life. However, anomalies or malicious intrusions pose several security loopholes, leading to performance degradation and threat to data security in IoT operations. Thereby, IoT security systems must keep an eye on and restrict unwanted events from occurring in the IoT network. Recently, various technical solutions based on machine learning (ML) models have been derived towards identifying and restricting unwanted events in IoT. However, most ML-based approaches are prone to miss-classification due to inappropriate feature selection. Additionally, most ML approaches applied to intrusion detection and prevention consider supervised learning, which requires a large amount of labeled data to be trained. Consequently, such complex datasets are impossible to source in a large network like IoT. To address this problem, this proposed study introduces an efficient learning mechanism to strengthen the IoT security aspects. The proposed algorithm incorporates supervised and unsupervised approaches to improve the learning models for intrusion detection and mitigation. Compared with the related works, the experimental outcome shows that the model performs well in a benchmark dataset. It accomplishes an improved detection accuracy of approximately 99.21%.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
2. ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 9, No. 1, February 2019 : 683 - 694
684
The rest of this paper is organized as follow: firstly, a literature review about the subject is presented
in section 2. Section 3 presents user-centered evaluation methods. Section 4 introduces the ergonomic
evaluation proposed model, then a case study has been performed in section 5. Finally, the results are
analysed and discussed in Section 6 before concluding.
2. LITERATURE REVIEW
Ergonomic assessment of interactive systems is an important and essential step in the user-centered
design cycle [8]. Psychological studies conducted on humans have shown certain abilities as well as a certain
number of limits. The purpose of ergonomics is to take advantage of these psychological elements in order to
implement an efficient and comfortable interface to use. According to the author [9] has defined ergonomics
as "scientific knowledge of the man at work, under the various physiological, sociological and medical
aspects of human work." This scientific knowledge, aims to a practical objective which conditions and
justifies the very existence of ergonomics: the adaptation of work to man. Ergonomics therefore has a vast
field of investigation that takes into account the constraints of physical and mental work during human-
machine interactions.
Ergonomics has a tradition of producing standards, recommendations and criteria. The ergonomics
of HMIs has often been illustrated by inspection methods, some of which are well known and often used.
The purpose of the ergonomic evaluation is to verify that the interactive system meets a set of
recommendations and ergonomic rules [10]. Let us quote the classification of criteria of the authors [11],
which makes it possible "to formalize and to structure the ergonomic knowledge, in particular as it appears in
the form of recommendations" [12] .These Ergonomic Criteria thus represent "the major ergonomic
dimensions according to which an interactive system may be evaluated or specified".
3. USER CENTERED EVALUATION METHODS
Choosing a user-centric, method of use on the use of information systems (seen as interactive
systems) is not an easy task. In this regard, several approaches have been proposed for the classification of
methods for evaluating interactive systems: the author [13] distinguishes evaluation methods according to
behavioral data (empirical methods) or data on the interface ( analytical methods); the author [14] classifies
the methods according to several criteria possibly decomposed into subcriteria (knowledge required, material
resources, situational factors, human resources, results provided by the evaluation), the author [15] separates
the approaches of evaluation according to three central elements of the human-machine interaction, which are
the user, the task and the system. the authors [16] propose two main categories: the methods requiring the
direct participation of the users and those applying to the characteristics of the interface. the authors [17]
based on [18], classify the evaluation methods according to the presence actual or represented user and
system;
It should be noted that the most used methods are listed by ISO / TR 16982: 2002 [19]. They are
most often focused on the utility and usability criteria of the author [20] [21]. In this paper, we use the
classification of authors [18], which classifies evaluation methods into 3 main approaches as shown in
Figure 1:
a. Approaches focused on the opinions and / or activities of users,
b. Qualified expert approaches focused on the judgment of experts in human-machine communication or
the use of evaluation grids or questionnaires listing the qualities of a good HMI,
c. The approaches described as analytical, centered on a modeling of the human-machine interaction.
These most often consist of performing the evaluation using objective metrics based on a descriptive
model of human tasks, or from a description of the screen pages. However, as the authors point out [15], [18],
[9], it would seem unrealistic to consider these groupings independently. Indeed, cross-relationships between
methods are often very useful.
3. Int J Elec & Comp Eng ISSN: 2088-8708
Enhanced model for ergonomic evaluation of information systems: application to.... (Khaoula Benmoussa)
685
Figure 1. Excerpt from the classification of adaptive assessment methods and techniques [22], [23]
4. PROPOSED MODEL
We present trough Table 1, the proposed hybrid model that combines accessibility, usability,
Emotionality and Persuasivity criterias. Each dimension will be described below.
Table 1. Ergonomy Evaluation Proposed Model
Criteria Subcriteria
Accessibility 1.1.Perceptibility 1.1.1. Equivalence of contents.
1.1.2. Sensoriality of contents.
1.1.3.Assistance with the presentation of invisible formats etc.
1.2.Comprehensibility 1.2.1. Readability.
1.2.2. Predictability of messages.
1.2.3. Consistency of navigation.
1.2.4. Assistance with the seizure.
1.2.5. Understanding of errors Error recovery procedure etc.
1.3.Robustness 1.3.1. Compatibility.
1.3.2. Conformity.
1.3.3. Easy to modify system controls.
1.3.4. Controllable by the user.
1.4.Usability 1.4.1. Perception of deadlines and feedbacks.
1.4.2. Error management.
1.4.3. Airworthiness.
1.4.4. Homogeneity of the senses mobilized etc.
1.5.Temporal adaptation of formats and
contents
1.5.1. Provide replacement versions.
1.5.2. Securitization.
1.5.3. Audio description.
1.5.4. Sign language.
1.5.5. Logical sequential order.
1.5.6. Distinction between levels of information.
Usability 2.1.Guidance 2.1.1. Incentive.
2.1.2. Grouping or Distinction by the format.
2.1.3. Visual organization of the items.
2.1.4. Feedback Immediate.
2.1.5. Readability.
2.2.Explicit control 2.2.1. Explicit actions.
2.2.2. User control.
2.3.Workload 2.3.1. Brevity.
2.3.2. Information density.
2.3.3. Minimalism.
2.4..Homogeneity / Consistency 2.4.1. Homogeneity of codes.
2.4.2. Denominations.
2.4.3. Formats.
2.4.5. Procedures.
2.4.5. Labels.
2.4.6. Orders.
4. ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 9, No. 1, February 2019 : 683 - 694
686
Table 1. Ergonomy Evaluation Proposed Model (continue)
Criteria Subcriteria
Usability 2.5..Significance of Codes and
Denominations
2.5.1. Meaning.
2.5.2. Coherence of contents.
2.5.3. Biunivocity of commands and meanings.
2.6.Error management 2.6.1. Protection against errors.
2.6.2. Quality of the error messages.
2.6.3. Correction of errors.
2.7.Compatibility 2.7.1. Memory.
2.7.2. Perceptions.
2.7.3. Habits.
2.7.4. Skills.
2.7.5. Expectations.
2.7.6. User requirements.
2.8.Adaptability 2.8.1. Flexibility.
2.8.2. Taking into account the experience
Emotionality 3.1.Satisfaction 3.1.1. Achievement of the goal.
3.1.2. Reached.
3.1.3. Measure of achievement.
3.2.Degree of control 3.2.1. Selection control.
3.2.2. Order of actions...
3.3.Effort 3.3.1. Perception of performance.
3.3.2. Procedures for maintaining the interaction.
3.4.Challenge 3.4.1. Need a challenge.
3.4.2. Need stimulation.
3.4.3. Self-realization
3.5.Degree of independence 3.5.1. Autonomy of the user.
3.5.2. Freedom of use.
3.6.Cognitive interest 3.6.1. Interest in the task.
3.6.2. Compatibility.
3.6.3. Fun of accomplishment of the task.
3.7.Sensory interest 3.7.1. Call for graphics, sounds, videos…
3.8.Confidence 3.8.1. Capability.
3.8.2. Perception of usability.
3.8.3. Perception of efficiency.
Emotionality
(continue)
3.9.Fancy 3.9.1. Imagination.
3.9.2. Projection.
3.9.3. Imaginary context.
Persuasivity 4.1.Credibility 4.1.1. Perceived reliability.
4.1.2. Expertise.
4.1.3. Loyalty.
4.1.4. Perceived legitimacy.
4.2.Privacy policy 4.2.1. Security feeling.
4.2.2. Perception of respect for rights.
4.2.3. Confidentiality.
4.3.Solicitation 4.3.1. Suggestion.
4.3.2. Teasing or setting in curiosity.
4.3.3. Priming actions.
4.4.Personalization 4.4.1. Perception of personalization.
4.4.2. Sense of belonging to a group.
4.5.Initial accompaniment 4.5.1. Piloting the first steps.
4.5.2. Encouragement.
4.5.3. Maintain the interaction.
4.6.Attractiveness 4.6.1. Emotional attraction.
4.6.2. Call to action.
4.6.3. Visual markup and orientation.
4.7.Commitment 4.7.1. Avoidance of disruptive external elements.
4.7.2. Increase in the psychological cost of the act.
4.8.Hold 4.8.1. Irrepressible and repetitive interactions.
4.8.2. Forms of release of the tension.
4.8.3. Consequences beyond the interaction with the media.
The first dimension represents the accessibility: The accessibility of a website is the fact of making
it accessible to people who may have difficulties to consult it: the visually impaired, the elderly,
the handicapped can be of physical, technological or structural origin [24]. Several relatively simple
techniques are put in place by the W3C (Word Wide Web Consortium) [25]. According to Tim Berners-Lee,
director of W3C and inventor of the World Wide Web, Web Accessibility is: "Making the Web and its
services available to all individuals, regardless of their hardware or software, their network infrastructure,
their mother tongue, their culture, their geographical location, or their physical or mental abilities."[25].
To make web content more accessible, the World Wide Web Consortium (W3C) launched the Web
5. Int J Elec & Comp Eng ISSN: 2088-8708
Enhanced model for ergonomic evaluation of information systems: application to.... (Khaoula Benmoussa)
687
Accessibility Initiative (WAI) in 1997. Among its activities, the WAI makes recommendations for content
creators on the Web. These are called the Web Content Accessibility Guidelines (WCAG). These rules are
intended for a variety of people.
The second dimension refers to the usability: it is defined by ISO 9241-11 as "the degree to which a
product can be used, by identified users, to achieve defined goals effectively, efficiently and satisfactorily in
a specified usage context. "[26]. Among the criteria known by this standard: efficiency, effectiveness, and
satisfaction. The ergonomics expert Jakob Nielsen was one of the first to use the term usability, particularly
in his book [27],and according to him usability is based on 5 criteria: Efficiency, Satisfaction, ease of use.
Learning, ease of ownership, reliability.
The third one consists of emotional design and its criteria: As a result of the development of
usability, various works [28], [29] have begun to emphasize the importance, not only of the dimensions of
efficacy, efficiency and the satisfaction of the user placed in interaction with machines, but also the place of
emotions related to this interaction. Jordan (1998) [4] was without a doubt one of the first to go beyond the
notion of satisfaction, to apply that of pleasure to the relationship between the human and the products he
uses. This pleasure (feeling of freedom, nostalgia, security, pride etc.) or the displeasure (feeling of
aggression, frustration, embarrassment, anxiety etc.) provided by the interaction with a product are a
predictor of use and purchase. In the same vein, Norman (2005) [30] distinguished three components in
design:
1. Visceral design (which refers to aesthetics, pleasure related to the contemplation and use of an object),
2. Behavioral design (which refers to the usability of objects: ease of use, usefulness, etc.),
3. Reflexive design (which refers to the rationalization of a product, ie the technical and functional
representation of a product. A product that a user builds based on past experiences).
The fourth dimension: in the same way as for accessibility, usability and emotionality, an
appropriation of technological persuasion by ergonomics was attempted by the authors [31] who developed
and validated a grid of ergonomic criteria intended to guide the inspection of persuasive interfaces. this
dimension depicts the critera related to the interactive persuation: it is based on social, cognitive and
emotional aspects that enrich the criterion approach of ergonomic inspection [27], [28]. Indeed, the
technology becomes persuasive when the user lends qualities and properties that can increase the perceived
credibility and therefore a sense of trust [6]. This involves surface elements of the interaction that reinforce
information but also by the creation of a relationship that is built over time.
Therefore, we propose trough Figure 2 an iterative approach for the ergonomic assessment of
information systems, it is based on two main steps: the evaluation and the improvement of the conception.
The evaluation can be done according to the proposed hybrid model, following one of the three
methodologies presented in the user centered evaluation methods section. The next section presents a case
study that we have performed to evaluate our proposal.
Figure 2. Iterative approach for the ergonomic assessment of IS
6. ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 9, No. 1, February 2019 : 683 - 694
688
5. CASE OF STUDY
4.1. The information system SIMArech
Based on the use of an effective application developed by a team of Abdelmalek Essaâdi University
(UAE) dedicated to conduct collaborative extranet, this information system, called SIMArech, aims to
support research administration by a unique technology solution in order to allow a streamlined and
single point access to up-to-date information for researchers, research staff and administrative staff.
SIMArech is indeed the result of a collaborative way of working. This innovative best of breed
solution has been designed to fulfill the needs of academic and research institutions: SIMArech is an IT
platform that makes it easy to collect and manage data on research activities and outputs within an
organization. Researchers, administrators and evaluators are given all the tools needed to monitor research
results, enhance visibility and efficiently allocate available resources.
The modular nature of the system and the flexibility of its data model facilitate processing,
organizing and transmitting information in accordance with international standards. At the same time,
SIMArech provides the chance to easily shape local and national requirements [7]. We present trough
Figure 3 the Overall interface of research projects:
Figure 3. Overall interface of research projects [32]
4.2. Ergonomic Evaluation of SIMARECH
For the evaluation of SIMARECH, we have selected the expertise-based approach. Thus, an expert
has participated in the evaluation step. The results of the evaluation are presented below.
4.2.1. Strong points
Figure 4 presents the result of accessibility evaluation of SIMARECH according to the criteria of
perceptibility, usability, comprehensibility, robustness and temporal adaptation.
a. Perceptibility :The information is presented in a perceived way, for all types of users:
1. Colors: The limited number of colors (black, white blue gray). Different colors of luminance used
allow their separation by color-blind people.
2. Texts and characters: Sans serif straight letters make it easy to read textual elements: Arial,
Helvetica, Verdana. Serialized letters, with serif (Times New Roman) create a horizontal virtual
line makes it easier to read long texts.
3. Organization of the general interface: Different accessibility for smartphones, tablets or touch
screens, computers.
4. Online help: Online manual: detailed and detailed help for users (Static Help).
b. Temporal adaptation of formats and contents: Content and containers are distributed in different formats
without loss of information (pdf, word, excel).
7. Int J Elec & Comp Eng ISSN: 2088-8708
Enhanced model for ergonomic evaluation of information systems: application to.... (Khaoula Benmoussa)
689
c. Usability: The features are accessible, operational and applicable for all users.
d. Comprehensibility: Contents and containers appear logically, consistently and predictably.
e. Robustness: The contents and containers are robust and therefore easy to interpret correctly by users.
Figure 4. Accessibility evaluation of SIMARECH
Figure 5 presents the result of usability evaluation of SIMARECH according to the criteria of
guidance, explicit control, adaptability, homogeneity and consistency , error management and compatibility
Figure 5. Usability evaluation of SIMARECH
8. ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 9, No. 1, February 2019 : 683 - 694
690
a. Guidance :
1. Incitement: There are all the incentive criteria that make it possible to judge the means implemented
to let the user know the context in which he is and the actions he can perform. menu, the title of the
page is identical to the active menu item)
2. Grouping distinction :
3. By location: geographically the elements are Remote and separate to distinguish and signify their
difference (menu, titles, buttons, statistics, etc.).
4. By format: elements are distinguished by formats, colors, fonts and sizes.
5. Readability: Information is easily perceived and the size of the fonts, their format, the space between
the lines, between the letters, the contrasts background / characters, etc. are well used.
6. Workload : brevity
7. Concision: The information is limited to reduce the effort provided by the user of reading. To
present the information clearly and appropriately. There is no text that blinks or scrolls.
b. Explicit control: User inputs are explicitly defined by themselves and under their control, ambiguities
and errors are limited.
c. Adaptability: Provide the user with different procedures, options, and commands to achieve a goal.
d. Error management :
1. Protection against Errors: set up means to detect and prevent errors, aims to prevent the user from
making mistakes and, if this happens, he warns immediately (the form of an email address).
2. Quality of error messages, their relevance, their ease of reading, their precision as to the nature of
the errors, indication of correction actions and Correction of errors: The means available to the user
to correct their errors immediately. (The confirmation message of the deletion).
e. Homogeneity / Consistency: The IS provides users with a stable framework in the similar context in the
system (Format and graphic design, menus, these points are stable in all interfaces).
f. Compatibility :The system is compatible with user characteristics:
1. The procedures required to complete task are compatible with the psychological characteristics of
users;
2. Easy to use translations;
3. Transpositions, interpretations, or references to documentation are minimized;
4. Compatible with all browsers and their different versions and it is displayed correctly in all
resolutions.
Figure 6 presents the result of emotional design evaluation of SIMARECH according to the criteria
of degree of control and independence, challenge, confidence, sensory interest and satisfaction.
Figure 6. Emotional design evaluation of SIMARECH
9. Int J Elec & Comp Eng ISSN: 2088-8708
Enhanced model for ergonomic evaluation of information systems: application to.... (Khaoula Benmoussa)
691
a. Degree of control : Selection control, Order of actions, etc
b. Challenge: challenge, Self-realization.
c. Degree of independence : The system guarantees the autonomy of the user to carry out activities
1. Updating and managing activities: creation, modification, deletion.
2. file insertion : photos
d. Confidence: Capability. Perception of usability. Perception of efficiency.
e. Sensory interest: Users get easily analyzed data and maximum information from graphs across multiple
interfaces.
f. Satisfaction: Achieving the goal. Reached. Measure of achievement.
Figure 7 presents the result of interactive persuasion evaluation of SIMARECH according to the
criteria of credibility, privacy, personalization, solicitation and commitment
Figure 7. Interactive persuasion evaluation of SIMARECH
Static criteria
a. Credibility :
1. The factors related to the system:
2. Completeness and accuracy: The level of detail of the information given, for example the
information sought in the system meets the expectations of users.
3. Relevance and clarity: the information is sufficiently clear so that "the information is easily
identifiable". As well as the technical terms are explained so that the information is understandable
by both experts and novice users.
4. Confidentiality of private data: users have control over the access and management of their personal
data.
5. Third party factor: Testimonials from other users about the system: The system is certified by the
Ministry of Higher Education, this certification is a real impact on trust remains largely dependent
on credibility.
6. Individual factors: Familiarity with the system: past interactions with the old system version make it
the most familiar. This user familiarity with the system predisposes to more confidence in using it.
b. Privacy: only the users of the system who can see the personal informations.
c. Personalization: A user has the ability to perform certain actions depending on his role, each role has a
custom interface.
10. ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 9, No. 1, February 2019 : 683 - 694
692
Dynamic criteria
a. Solicitation: For the user to add, for example, a submission, he must go through validation steps
(Suggestion.Basing actions).
b. Commitment :
1. Fidelity of users - direct visits or registration in the system (certified).
2. Quality of use - number of actions on the system, repeated visits, duration.
3. Registration - tel number, email, print, scientific output, etc.
4. Monitoring of results (statistics, dashboard, etc.).
4.2.2. The Weaknesses of the Platform and Improvement Points
Using this model we can deduce the weaknesses of the platform:
a. Most typing forms are very long and time consuming, there is no way to import data from different
international base (articles, communications, etc.) instead of re-entering information into the platform.
b. Lack of compulsory signs for obligatory fields, which leads to wasting time during validation of a form.
c. There are difficulties in completing a few tasks quickly, and error messages sometimes do not help to
solve problems or guide users which affects the execution time of a task or block them outright.
d. Lack of guidelines: sometimes there are mistakes to make some tasks in the platform.
e. Search processes sometimes fail (does not give accurate enough information).
f. The usable platform in English, French, Arabic. There is a lack of several languages like Spanish and
German etc.
g. Lack of interactive spaces between users.
At this level the platform does not have sufficient orientations or means to ensure easy and error-
free interaction with the user [33]. Improvements could be made at certain levels:
a. Change the method of entering information: Integrate a Web of Science API that will automatically
manage the database of journals in the system to be updated regularly and avoid blocking. Thanks to this
API, the user can load the information of his publication into the SIMARECH platform to avoid manual
entry.
b. Mark the required fields to enter data by a star.
c. Make the error messages presented by this system more orientative.
d. Customize search by adding filtering as an option to search in all search engines built into the platform.
e. Add other languages to the platform to offer personalized access to users by their preferable language,
and to be well referenced in the various search engines of the targeted countries.
f. Add an interactive space (forums, chat, etc.) to encourage exchanges, communication, etc. between
different users.
g. Thinking of doing distance training by discipline and actor of SIMARECH.
6. RESULTS AND DISCUSSION
Ensuring the proper use of an information system has always been a real concern for all
organizations. The success of any web site depends on the satisfaction of the user and the users are only
satisfied when they are able to do their work in a simple and efficient way [31], for this an ergonomic
evaluation is essential.
however, there is currently no evaluation model combining the 4 dimensions: Accessibility,
Usability, Emotionality, Persuasivity, Thus, in the ergonomic evaluation by a single criterion is not enough to
properly define the strengths and weaknesses of an IS interface. Our contribution aims to provide a new
model for the ergonomic evaluation of information systems that merges several criteria which will allow
during the evaluation, not only to define the strong and weak points but also possible improvements for each
criterion.
We used a methodological approach based on a scientific deductive methodology, which uses a
logical sequence of research procedures to evaluate the design of the IS. This approach allows to define the
strengths and deduce the limits while proposing improvements that can be taken during the redesign of an IS.
In our case we applied this new model to a scientific research information system (SIMARECH), thanks to
our proposed model we were able to discover the strengths and limitations of this system and to deduce
improvements that could be made to some levels.
11. Int J Elec & Comp Eng ISSN: 2088-8708
Enhanced model for ergonomic evaluation of information systems: application to.... (Khaoula Benmoussa)
693
7. CONCLUSION
The evaluation of interactive systems and more particularly of their human-machine interface has
been a recurring problem for thirty years. The evolution of the means of interaction between the user and the
machine as well as the needs and specificities inherent in the evolution of technology systematically requires
new criteria and methods for the assessment of human-Machine interactions. In this context, this paper
proposed an enhanced model for the ergonomic assessement of information systems that covers 4
dimensions: Accessibility, Usability, Emotionality, and Persuasivity. Further, it elucidated an iterative
approach for the evaluation and the improvement of information systems ergonomy.
For the evaluation of our proposal, a situation of an information system for scientific research has
been studied. For that aim, we have followed the expertise-based approach. Finally, we highlight the
importance of calculating the relevance of the different specific criteria according to the application context.
As a perspective, the proposed model can be used as an AHP (Analytical Hierarchy Process) [33] hierachy to
calculate the weight of each criteria depending on the area of application and even the intended user profile.
REFERENCES
[1] S. Harper and Y. Yesilada, “Web Accessibility and Guidelines,” Web Access., vol. 15, no. 1, pp. 61–78, 2008.
[2] S. Abou-Zahra, “Web Accessibility Evaluation,” in Web Accessibility: A Foundation for Research, 2008,
pp. 79–106.
[3] J. Nielsen, “Heuristic Evaluation,” in Usability inspection methods, 2011, pp. 25–62.
[4] P. W. Jordan, “Human factors for pleasure in product use,” Appl. Ergon., vol. 29, no. 1, pp. 25–33, 1998.
[5] A. Némery and E. Brangier, “Set of Guidelines for Persuasive Interfaces: Organization and Validation of the
Criteria,” J. Usability Stud., vol. 9, no. 3, pp. 105–128, 2014.
[6] T. Wahyuningrum and K. Mustofa, “A Systematic Mapping Review of Software Quality Measurement: Research
Trends, Model, and Method,” Int. J. Electr. Comput. Eng., vol. 7, no. 5, p. 2847, 2017.
[7] K. Benmoussa, S. Khoulji, M. Laaziri, and M. L. Kerkeb, “SIMARECH 3: A New Application for the Governance
of Scientific Research,” First Int. Conf. Affect. Comput. Mach. Learn. Intell. Syst. Sch., vol. 5, pp. 776–784, 2017.
[8] J. M. C. B. et A. TRICOT, “CHAPITRE 9: L’ÉVALUATION ERGONOMIQUE DES DOCUMENTS
ÉLECTRONIQUES,” 2008.
[9] J.-C. Sperandio, “L’ergonomie du travail mental (2e éd.) / Jean-Claude Sperandio,...,” 1988.
[10] E. Brangier, M. Desmarais, N. Alexandra, and S. P. Tep, “Évolution de l’inspection heuristique : vers une
intégration des critères d’accessibilité, de praticité, d’émotion et de persuasion dans l’évaluation ergonomique,”
2015.
[11] J. M. Christian Bastien and D. L. Scapin, “Ergonomic Criteria for the Evaluation of Human-Computer Interfaces •
Critères Ergonomiques pour l’Évaluation d’Interfaces Utilisateurs (version 2.1),” 1993.
[12] J. . Bastien, “Les Critères Ergonomiques : un pas vers une aide méthodologique à l‘évaluation des systèmes
interactifs. Thèse de doctorat, Université René Descartes (Paris 5), Paris.” 1996.
[13] B. Senach, “Evaluation ergonomique des interfaces homme-machine : une revue de la littérature,” Chem. …, no.
March, p. 82, 1990.
[14] S. Balbo, “Évaluation ergonomique des interfaces utilisateur : un pas vers l’automatisation,” IMAG. p. 206, 1994.
[15] C. Farenc, “ERGOVAL : une méthode de structuration des règles ergonomiques permettant l’évaluation
automatique d’interfaces graphiques,” Thèse de Doctorat de l’Université Toulouse, 1997.
[16] J. M. C. Bastien and D. L. Scapin, “Evaluation des systèmes d’information et critères ergonomiques,” Environ.
évolués évaluation l’IHM, vol. 2, pp. 53–80, 2001.
[17] J. Huart and C. Kolski, L'évaluation de documents multimédias , Etat de l ’ art, no. January. 2008.
[18] A. WHITEFIELD, F. WILSON, and J. DOWELL, “A framework for human factors evaluation,” Behav. Inf.
Technol., vol. 10, no. 1, pp. 65–79, 1991.
[19] “ISO/TR 16982:2002 - Ergonomics of human-system interaction -- Usability methods supporting human-centred
design.” [Online]. Available: https://www.iso.org/standard/31176.html. [Accessed: 04-Jul-2018].
[20] J. Nielsen, Usability Engineering, vol. 44, no. 3. 1993.
[21] T. Khodadadi, A. K. M. M. Islam, S. Baharun, and S. Komaki, “Evaluation of recognition-based graphical
password schemes in terms of usability and security attributes,” Int. J. Electr. Comput. Eng., vol. 6, no. 6,
pp. 2939–2948, 2016.
[22] K. C. Grislin M., “Evaluation des interfaces homme-machine lors du développement de système interactif,” Tech.
Sci. Informatiques, vol. 3, pp. 265–296, 1996.
[23] A. Trabelsi, “Contribution à l ’ évaluation des systèmes interactifs orientés agents To cite this version :,” 2009.
[24] K. Surendro and Olivia, “Academic Cloud ERP quality assessment model,” Int. J. Electr. Comput. Eng., vol. 6,
no. 3, pp. 1038–1047, 2016.
[25] P. T. Berners-lee, “Qu'est-ce que « l’accessibilité » d'un site Internet ? Le référentiel en matière d'accessibilité,”
2008.
[26] ISO, “ISO 9241-11,” Ergonomic requirements for office work with visual display terminals (VDTs) -- Part 11:
Guidance on usability, 1998.[Online]. Available: http://www.iso.org/iso/catalogue_detail.htm?csnumber=16883.
[27] J. Nielsen, Usability engineering. Academic Press, 1993.
[28] J. Nielsen and R. L. Mack, “Heuristic evaluation,” in Usability Inspection Methods, 1994, pp. 25–62.
12. ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 9, No. 1, February 2019 : 683 - 694
694
[29] E. Brangier and J. Barcenilla, “Concevoir un Produit Facile à Utiliser,” in Concevoir un produit facile à utiliser,
2003.
[30] D. A. Norman, Emotional Design - Why we love (or hate) everyday things, no. 1. 2004.
[31] E. Brangier, N. Alexandra, and S. Séverine, “Experimental validation of persuasive criteria for CHI : interfaces,”
2015.
[32] “SIMARech 3.” [Online]. Available: http://simarech.uae.ac.ma/. [Accessed: 01-Feb-2018].
[33] A. Nayebpour and H. Rashidi, “Presenting Metrics for Evaluation of Expert Systems Based on Service-Oriented
Architecture,” Int. J. Electr. Comput. Eng., vol. 3, no. 5, pp. 688–695, 2013.