To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IRJET- Survey on Various Techniques of Attendance marking and Attention D...IRJET Journal
The document summarizes various techniques for automated attendance marking and detecting student attention levels in classrooms. It discusses methods using facial recognition, biometrics, Bluetooth beacons, sensors to track eye movements, posture and brain waves. Researchers have achieved over 95% accuracy using these techniques compared to traditional manual attendance marking methods. The techniques described can save time, reduce human errors and help teachers identify students who are inattentive or not focusing in class.
This document describes an Android mobile application called "ACE Forum" developed by students and a professor at MIET Bhandara college. The app aims to provide students and faculty with a central place to access information like notifications, academics details, events, and a chat feature. It allows administrators to upload content like timetables, notices, and syllabus that students can view. The app aims to modernize communication at the college by bringing important information to users' mobile devices and allowing direct communication through chat. It was created to reduce manual work and improve information access compared to the college website. The developers believe the app will help keep students and faculty better connected.
student application form Java Netbeansreshmajohney
This document describes a student application form project that was developed to allow easy entry, updating and deletion of student details from a database. The project uses Java Swing controls and stores data in a Microsoft Access database. Key aspects of the project include forms for submitting new student applications, updating existing student details, and deleting student records from the database. The document outlines the theoretical background of the technologies used, describes the database and form designs, and provides the program code to implement the student application functionality.
This documentation provides a brief insight of face recognition based attendance system using neural networks in terms of product architecture which can be used for educational purpose.
IRJET- A Food Recognition System for Diabetic Patients based on an Optimized ...IRJET Journal
This document presents a food recognition system for diabetic patients based on an optimized bag-of-features model. The system extracts dense local features from food images using scale-invariant feature transform on HSV color space. It then builds a visual vocabulary of 10,000 visual words using k-means clustering and classifies the food descriptions with a linear support vector machine classifier. The optimized system achieved a classification accuracy of around 78% on a dataset of over 5,000 food images belonging to 11 classes, demonstrating the feasibility of using a bag-of-features approach for automated food recognition to help with carbohydrate counting for diabetic patients.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IRJET- Survey on Various Techniques of Attendance marking and Attention D...IRJET Journal
The document summarizes various techniques for automated attendance marking and detecting student attention levels in classrooms. It discusses methods using facial recognition, biometrics, Bluetooth beacons, sensors to track eye movements, posture and brain waves. Researchers have achieved over 95% accuracy using these techniques compared to traditional manual attendance marking methods. The techniques described can save time, reduce human errors and help teachers identify students who are inattentive or not focusing in class.
This document describes an Android mobile application called "ACE Forum" developed by students and a professor at MIET Bhandara college. The app aims to provide students and faculty with a central place to access information like notifications, academics details, events, and a chat feature. It allows administrators to upload content like timetables, notices, and syllabus that students can view. The app aims to modernize communication at the college by bringing important information to users' mobile devices and allowing direct communication through chat. It was created to reduce manual work and improve information access compared to the college website. The developers believe the app will help keep students and faculty better connected.
student application form Java Netbeansreshmajohney
This document describes a student application form project that was developed to allow easy entry, updating and deletion of student details from a database. The project uses Java Swing controls and stores data in a Microsoft Access database. Key aspects of the project include forms for submitting new student applications, updating existing student details, and deleting student records from the database. The document outlines the theoretical background of the technologies used, describes the database and form designs, and provides the program code to implement the student application functionality.
This documentation provides a brief insight of face recognition based attendance system using neural networks in terms of product architecture which can be used for educational purpose.
IRJET- A Food Recognition System for Diabetic Patients based on an Optimized ...IRJET Journal
This document presents a food recognition system for diabetic patients based on an optimized bag-of-features model. The system extracts dense local features from food images using scale-invariant feature transform on HSV color space. It then builds a visual vocabulary of 10,000 visual words using k-means clustering and classifies the food descriptions with a linear support vector machine classifier. The optimized system achieved a classification accuracy of around 78% on a dataset of over 5,000 food images belonging to 11 classes, demonstrating the feasibility of using a bag-of-features approach for automated food recognition to help with carbohydrate counting for diabetic patients.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Learner Model's Utilization in the e-Learning Environments
Vija VAGALE and Laila NIEDRITE
Faculty of Computing, University of Latvia, Raina boulv. 19, Riga, Latvia
Abstract. In the field of personalized systems big role is granted to the adaptive elearning environments. The task of these systems is very important and complicated. With their participation the learner gains exactly the knowledge he
needs most, and the system adapts to user needs, expectations and his individual features. In this kind of systems information about learner is saved in the learner model also known as the user model and student model. For the system to be able to perceive and analyze user activities correctly, is necessary to define what kind of information about the learner has to be saved. The article gives an overview about already existing learner models, their utilization methods and also it offers their comparison according to various criteria.
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.
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 discusses knowledge application, which is the final step in the knowledge management cycle where knowledge that has been captured and shared is put to actual use. It describes how user and task modeling can help promote effective knowledge application at the individual, group, and organizational levels. It also discusses knowledge management systems, knowledge reuse, and the strategic and practical implications of facilitating knowledge application within an organization.
The document describes two projects in a portfolio: a mobile communication system project and an internal evaluation system project. The mobile project involved developing an application for a school to enable communication between administrators, teachers, and parents. The technologies used were ASP.NET and SQL Server. The evaluation system project automated the internal evaluation process for a college using PHP and MySQL to allow adding, modifying, searching, and deleting student records and generating reports. It included modules for registration, login, record management, and viewing/searching records.
Multidirectional Product Support System for Decision Making In Textile Indust...IOSR Journals
This document proposes a multidirectional rank prediction algorithm (MDRP) for decision making in the textile industry using collaborative filtering methods. MDRP learns asymmetric similarities between users, items, ratings, and sellers simultaneously through matrix factorization to overcome data sparsity and scalability issues. The algorithm was tested on textile datasets and analyzed product and user preferences. Results showed MDRP provided more accurate recommendations than existing similarity learning and collaborative filtering methods. MDRP allows effective decision making for multiple entities with multiple attributes.
Adaptive Learning Management System Using Semantic Web Technologies ijsc
Ontologies and semantic web services are the basics of next generation semantic web. This upcoming technologies are useful in many fields such as bioinformatics, business collaboration, Data integration and etc. E-learning is also the field in which semantic web technologies can be used to provide dynamism in learning methodologies. E-learning includes set of tasks which may be instructional design, content development, authoring, delivery, assessment, feedback and etc. that can be sequenced and composed as workflow. Web based Learning Management Systems should concentrate on how to satisfy the e-learners requirements. In this paper we have suggested the theoretical framework ALMS-Adaptive Learning management System which focuses on three aspects 1) Extracting the knowledge from the use's interaction, behaviour and actions and translate them into semantics which are represented as Ontologies 2) Find the Learner style from the knowledge base and 3)deriving and composing the workflow depending upon the learner style. The intelligent agents are used in each module of the framework to perform reasoning and finally the personalized workflow for the e-learner has been recommended.
ADAPTIVE LEARNING MANAGEMENT SYSTEM USING SEMANTIC WEB TECHNOLOGIESijsc
Ontologies and semantic web services are the basics of next generation semantic web. This upcoming
technologies are useful in many fields such as bioinformatics, business collaboration, Data integration and
etc. E-learning is also the field in which semantic web technologies can be used to provide dynamism in
learning methodologies. E-learning includes set of tasks which may be instructional design, content
development, authoring, delivery, assessment, feedback and etc. that can be sequenced and composed as
workflow. Web based Learning Management Systems should concentrate on how to satisfy the e-learners
requirements. In this paper we have suggested the theoretical framework ALMS-Adaptive Learning
management System which focuses on three aspects 1) Extracting the knowledge from the use's interaction,
behaviour and actions and translate them into semantics which are represented as Ontologies 2) Find the
Learner style from the knowledge base and 3)deriving and composing the workflow depending upon the
learner style. The intelligent agents are used in each module of the framework to perform reasoning and
finally the personalized workflow for the e-learner has been recommended.
This document describes a proposed web application called "Colleges.Net" that would allow users to search for information on colleges. It would manage data on registered colleges, including details about programs offered, admissions, facilities, and more. Users could search for colleges based on criteria like location, courses, and rankings. Colleges could also register profiles to provide information and advertise to students. The proposed system aims to make finding college information more efficient by allowing online searching and filtering, rather than requiring users to visit individual college websites.
This document describes a research project that uses intelligent agents to support self-directed learning on the Moodle learning management system. The agents adaptively generate quizzes for students based on their activity logs and detailed competence ontologies. The agents use a tuple space as a blackboard to communicate. The approach was implemented and tested in an online genetics course at the Open University of Colombia.
1) The document discusses using laboratory simulation in vocational high schools to model real-world problems. Simulation allows students to safely explore designs and solutions without the risks of hardware testing.
2) A key benefit of simulation is enabling students to incorporate systems from different areas and explore how design decisions in one subsystem impact overall system performance. Simulation also makes it possible to model multidomain systems.
3) While simulation has advantages like safety and enabling exploration, it also has drawbacks like experiences not always matching reality and losing hands-on activities. Overall, simulation is presented as an effective teaching method that can transfer learning to real situations.
Towards a new ontology of the Moroccan Post-baccalaureate learner profile for...iosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
1. The document proposes a new ontology called "Onto E-orientation" to represent learner profiles for an academic e-orientation system in Morocco called MMSyOrientation.
2. The new ontology addresses limitations in existing learner profile models by providing a model specific to e-orientation systems with a focus on the Moroccan context.
3. The ontology represents concepts like the orientation process, learner profiles with permanent and evolving characteristics, related concepts like domains and diplomas, and relationships between concepts to support matching learners to suitable choices.
Project on software engineering types of modelsSoham Nanekar
The document provides an overview of 5 software development models: Waterfall, Prototyping, Incremental, Concurrent, and Spiral. For each model, it describes the key aspects, advantages, disadvantages, example uses, and real-life applications. The Waterfall model involves sequential phases from requirements to maintenance. Prototyping involves building prototypes to understand requirements. Incremental involves dividing work into modules. Concurrent involves overlapping phases. Spiral involves risk identification and prototype evaluation in loops.
Paper Alejandro Medrano - Use of hierarchical model-view-controller architect...WTHS
This document discusses using a hierarchical model-view-controller (HMVC) architecture for user interfaces in ambient assisted living (AAL) environments. It proposes separating the user interface meta model from the presentation logic and user interaction modalities. This allows applications to define modality-neutral interfaces that can be rendered across different modalities like graphical user interfaces, voice interfaces, etc. It describes defining a common meta model for user interface elements and using UI renderers to translate this model to specific modalities. The HMVC approach keeps applications independent of interaction details and allows multiple applications to share interfaces.
The document provides an overview of a student information management system. It discusses how the system will maintain student records online and make it easier for schools and colleges to manage student data and activities. The system will store all student details and allow for easy searching of student records. It will also enable online registration and updating of student profiles. The document outlines the objectives, scope, requirements analysis, and design of the student information management system.
The document provides an overview of a student information management system. It discusses how the system will maintain student records online and make it easier for schools and colleges to manage student data and activities. The system will store all student details and allow for easy searching of student records. It will also enable online registration and updating of student profiles. The document outlines the objectives, scope, requirements analysis, and design of the student information management system.
This document outlines a capstone project to develop a Graduates' Online Tracker system with a mobile app and integrated desktop system for Our Lady of Pillar College San Manuel Incorporated. The system will allow the school to track graduate outcomes and identify potential deficiencies in educational curricula. It will give graduates a way to view announcements and job opportunities. Data gathered from alumni will be analyzed using data visualization charts to help administrators and teachers evaluate programs and improve teaching standards and curricula. The project aims to benefit alumni, administrators, students, and future researchers. It will use agile development methodology and gather input from school staff and alumni.
This document summarizes a research paper that proposes a hybrid recommendation approach for tourism systems using classification based on association rules and fuzzy logic. The paper describes common problems with recommender systems like sparsity and performance issues. It then presents a hybrid method combining clustering, associative classification, and fuzzy logic to address these problems. The method was implemented and evaluated in a tourism recommender system, with results showing it can improve recommendation quality by reducing limitations of other approaches.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
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Learner Model's Utilization in the e-Learning Environments
Vija VAGALE and Laila NIEDRITE
Faculty of Computing, University of Latvia, Raina boulv. 19, Riga, Latvia
Abstract. In the field of personalized systems big role is granted to the adaptive elearning environments. The task of these systems is very important and complicated. With their participation the learner gains exactly the knowledge he
needs most, and the system adapts to user needs, expectations and his individual features. In this kind of systems information about learner is saved in the learner model also known as the user model and student model. For the system to be able to perceive and analyze user activities correctly, is necessary to define what kind of information about the learner has to be saved. The article gives an overview about already existing learner models, their utilization methods and also it offers their comparison according to various criteria.
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.
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 discusses knowledge application, which is the final step in the knowledge management cycle where knowledge that has been captured and shared is put to actual use. It describes how user and task modeling can help promote effective knowledge application at the individual, group, and organizational levels. It also discusses knowledge management systems, knowledge reuse, and the strategic and practical implications of facilitating knowledge application within an organization.
The document describes two projects in a portfolio: a mobile communication system project and an internal evaluation system project. The mobile project involved developing an application for a school to enable communication between administrators, teachers, and parents. The technologies used were ASP.NET and SQL Server. The evaluation system project automated the internal evaluation process for a college using PHP and MySQL to allow adding, modifying, searching, and deleting student records and generating reports. It included modules for registration, login, record management, and viewing/searching records.
Multidirectional Product Support System for Decision Making In Textile Indust...IOSR Journals
This document proposes a multidirectional rank prediction algorithm (MDRP) for decision making in the textile industry using collaborative filtering methods. MDRP learns asymmetric similarities between users, items, ratings, and sellers simultaneously through matrix factorization to overcome data sparsity and scalability issues. The algorithm was tested on textile datasets and analyzed product and user preferences. Results showed MDRP provided more accurate recommendations than existing similarity learning and collaborative filtering methods. MDRP allows effective decision making for multiple entities with multiple attributes.
Adaptive Learning Management System Using Semantic Web Technologies ijsc
Ontologies and semantic web services are the basics of next generation semantic web. This upcoming technologies are useful in many fields such as bioinformatics, business collaboration, Data integration and etc. E-learning is also the field in which semantic web technologies can be used to provide dynamism in learning methodologies. E-learning includes set of tasks which may be instructional design, content development, authoring, delivery, assessment, feedback and etc. that can be sequenced and composed as workflow. Web based Learning Management Systems should concentrate on how to satisfy the e-learners requirements. In this paper we have suggested the theoretical framework ALMS-Adaptive Learning management System which focuses on three aspects 1) Extracting the knowledge from the use's interaction, behaviour and actions and translate them into semantics which are represented as Ontologies 2) Find the Learner style from the knowledge base and 3)deriving and composing the workflow depending upon the learner style. The intelligent agents are used in each module of the framework to perform reasoning and finally the personalized workflow for the e-learner has been recommended.
ADAPTIVE LEARNING MANAGEMENT SYSTEM USING SEMANTIC WEB TECHNOLOGIESijsc
Ontologies and semantic web services are the basics of next generation semantic web. This upcoming
technologies are useful in many fields such as bioinformatics, business collaboration, Data integration and
etc. E-learning is also the field in which semantic web technologies can be used to provide dynamism in
learning methodologies. E-learning includes set of tasks which may be instructional design, content
development, authoring, delivery, assessment, feedback and etc. that can be sequenced and composed as
workflow. Web based Learning Management Systems should concentrate on how to satisfy the e-learners
requirements. In this paper we have suggested the theoretical framework ALMS-Adaptive Learning
management System which focuses on three aspects 1) Extracting the knowledge from the use's interaction,
behaviour and actions and translate them into semantics which are represented as Ontologies 2) Find the
Learner style from the knowledge base and 3)deriving and composing the workflow depending upon the
learner style. The intelligent agents are used in each module of the framework to perform reasoning and
finally the personalized workflow for the e-learner has been recommended.
This document describes a proposed web application called "Colleges.Net" that would allow users to search for information on colleges. It would manage data on registered colleges, including details about programs offered, admissions, facilities, and more. Users could search for colleges based on criteria like location, courses, and rankings. Colleges could also register profiles to provide information and advertise to students. The proposed system aims to make finding college information more efficient by allowing online searching and filtering, rather than requiring users to visit individual college websites.
This document describes a research project that uses intelligent agents to support self-directed learning on the Moodle learning management system. The agents adaptively generate quizzes for students based on their activity logs and detailed competence ontologies. The agents use a tuple space as a blackboard to communicate. The approach was implemented and tested in an online genetics course at the Open University of Colombia.
1) The document discusses using laboratory simulation in vocational high schools to model real-world problems. Simulation allows students to safely explore designs and solutions without the risks of hardware testing.
2) A key benefit of simulation is enabling students to incorporate systems from different areas and explore how design decisions in one subsystem impact overall system performance. Simulation also makes it possible to model multidomain systems.
3) While simulation has advantages like safety and enabling exploration, it also has drawbacks like experiences not always matching reality and losing hands-on activities. Overall, simulation is presented as an effective teaching method that can transfer learning to real situations.
Towards a new ontology of the Moroccan Post-baccalaureate learner profile for...iosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
1. The document proposes a new ontology called "Onto E-orientation" to represent learner profiles for an academic e-orientation system in Morocco called MMSyOrientation.
2. The new ontology addresses limitations in existing learner profile models by providing a model specific to e-orientation systems with a focus on the Moroccan context.
3. The ontology represents concepts like the orientation process, learner profiles with permanent and evolving characteristics, related concepts like domains and diplomas, and relationships between concepts to support matching learners to suitable choices.
Project on software engineering types of modelsSoham Nanekar
The document provides an overview of 5 software development models: Waterfall, Prototyping, Incremental, Concurrent, and Spiral. For each model, it describes the key aspects, advantages, disadvantages, example uses, and real-life applications. The Waterfall model involves sequential phases from requirements to maintenance. Prototyping involves building prototypes to understand requirements. Incremental involves dividing work into modules. Concurrent involves overlapping phases. Spiral involves risk identification and prototype evaluation in loops.
Paper Alejandro Medrano - Use of hierarchical model-view-controller architect...WTHS
This document discusses using a hierarchical model-view-controller (HMVC) architecture for user interfaces in ambient assisted living (AAL) environments. It proposes separating the user interface meta model from the presentation logic and user interaction modalities. This allows applications to define modality-neutral interfaces that can be rendered across different modalities like graphical user interfaces, voice interfaces, etc. It describes defining a common meta model for user interface elements and using UI renderers to translate this model to specific modalities. The HMVC approach keeps applications independent of interaction details and allows multiple applications to share interfaces.
The document provides an overview of a student information management system. It discusses how the system will maintain student records online and make it easier for schools and colleges to manage student data and activities. The system will store all student details and allow for easy searching of student records. It will also enable online registration and updating of student profiles. The document outlines the objectives, scope, requirements analysis, and design of the student information management system.
The document provides an overview of a student information management system. It discusses how the system will maintain student records online and make it easier for schools and colleges to manage student data and activities. The system will store all student details and allow for easy searching of student records. It will also enable online registration and updating of student profiles. The document outlines the objectives, scope, requirements analysis, and design of the student information management system.
This document outlines a capstone project to develop a Graduates' Online Tracker system with a mobile app and integrated desktop system for Our Lady of Pillar College San Manuel Incorporated. The system will allow the school to track graduate outcomes and identify potential deficiencies in educational curricula. It will give graduates a way to view announcements and job opportunities. Data gathered from alumni will be analyzed using data visualization charts to help administrators and teachers evaluate programs and improve teaching standards and curricula. The project aims to benefit alumni, administrators, students, and future researchers. It will use agile development methodology and gather input from school staff and alumni.
This document summarizes a research paper that proposes a hybrid recommendation approach for tourism systems using classification based on association rules and fuzzy logic. The paper describes common problems with recommender systems like sparsity and performance issues. It then presents a hybrid method combining clustering, associative classification, and fuzzy logic to address these problems. The method was implemented and evaluated in a tourism recommender system, with results showing it can improve recommendation quality by reducing limitations of other approaches.
Similar to IEEE 2014 JAVA PARALLEL DISTRIBUTED PROJECTS An ontology based hybrid approach to activity modeling for smart homes (20)
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
This document discusses a proposed system for improving social-based routing in delay tolerant networks. The proposed system takes into account both the frequency and duration of contacts to generate a higher quality social graph. It also studies community evolution to dynamically detect overlapping communities and bridge nodes in social networks. Simulation results show the proposed routing algorithm outperforms existing strategies significantly.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
1. The document proposes a privacy-preserving public auditing mechanism called Oruta for shared data stored in the cloud.
2. Oruta allows a third party auditor (TPA) to efficiently verify the integrity of shared data for a group of users while preserving their identity privacy.
3. It exploits ring signatures to generate verification information for shared data blocks while keeping the identity of the signer private from the TPA.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
This document discusses dynamic cloud pricing for revenue maximization. It first discusses how static pricing is currently dominant but dynamic pricing could improve revenue. It then outlines three contributions: 1) an empirical study finding Amazon spot prices are not set by market demand, motivating developing market-driven dynamic mechanisms, 2) formulating revenue maximization as a stochastic dynamic program to characterize optimal conditions, and 3) extending the model to consider non-homogeneous demand.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
The document proposes a cloud-based mobile multimedia recommendation system that can reduce network overhead and speed up the recommendation process. It analyzes limitations of existing systems, including difficulty reusing video tags, lack of scalability, and inability to identify spammers. The proposed system classifies users to recommend desired multimedia content with high precision and recall, while collecting user clusters instead of detailed profiles to avoid exploding network overhead. It utilizes computing resources in large data centers and detects video spammers through a machine learning approach.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
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.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
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.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
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.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
IEEE 2014 JAVA PARALLEL DISTRIBUTED PROJECTS An ontology based hybrid approach to activity modeling for smart homes
1. GLOBALSOFT TECHNOLOGIES
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An Ontology-Based Hybrid Approach to Activity
Modeling for Smart Homes
Abstract
Activity models play a critical role for activity recognition and assistance in
ambient assisted living. Existing approaches to activity modeling suffer from a
number of problems, e.g., model reusability, and incompleteness. In an effort to
address these problems, we introduce an ontology-based hybrid approach to
activity modeling that combines domain knowledge basedmodel specification and
data-driven model learning. Central to the approach is an iterative process that
begins with “seed” activity models created by ontological engineering. The “seed”
models are deployed, and subsequently evolved through incremental activity
discovery and model update. While our previous work has detailed ontological
activity modeling and activity recognition, this paper focuses on the systematic
hybrid approach and associated methods and inference rules for learning new
activities and user activity profiles. The approach has been implemented in a
feature rich assistive living system. Analysis of the experiments conducted has
been undertaken in an effort to test and evaluate the activity learning algorithms
and associated mechanisms.
2. System Analysis
Existing System:
The Existing system is data driven approach, the drawback of this system is
related to model applicability and reusability. A data-driven approach is sensitive
to unseen data which makes it difficult to apply the ADL models which have been
learnt from one person to another person. This means that with a data-driven
approach, an activity model for different users has to be learnt separately. The third
drawback is the incompleteness of activity models which is closely related to the
aforementioned two issues. With the data-driven approach, every activity model
for all the ADLs for every user needs to be learnt in order to create complete ADL
models. Given the large number of ADLs this is a huge challenge, if indeed not
impossible, in practice. To mitigate the aforementioned problems, researchers have
recently started applying transfer learning techniques to activity modeling and
recognition by reusing resources and knowledge. This involves transferring the
source datasets, or features or models, from one user to another in different
settings. An alternative to the data-driven approach is to manually define activity
models by making use of rich, prior knowledge, and domain heuristics.
Proposed System:
This approach is motivated by the observation that most ADLs are daily
routines which normally take place within a specific circumstance of time,
location, and space with relatively fixed types of objects. Using formal knowledge
acquisition and modeling technologies, activity models can be created by means of
various knowledge modeling tools. As this approach is closely related to
3. knowledge engineering, it is referred to as a knowledge driven approach. A
knowledge-driven approach improves model reusability by modeling activities at
multiple levels of abstraction to create both generalized and specialized ADL
models. For example, ontological activity modeling can model a generic ADL as
an ontological activity class and an individual-specific ADL as an instance of the
corresponding activity class. ADL modeling is not a one-off effort, instead, a
multiphase iterative process that interleaves knowledge-based model specifications
and data-driven model learning. The process consists of two key phases.
Ontological activity modeling creates activity models at two levels of
abstractions, namely as ontological activity concepts and their instances,
respectively. Ontological activity concepts represent generic coarse-grained
activity models applicable and reusable for all users, thus solving the reusability
problem. The seed ADL models are then used in applications for activity
recognition at the second phase. In the third phase, the activity classification results
from the second phase are analyzed to discover new activities and user profiles.
These learnt activity patterns are in turn used to update the ADL models, thus
solving the incompleteness problem. Once the first phase completes, the remaining
two-phase process can be iterated many times to incrementally evolve the ADL
models, leading to complete, accurate, and up-to-date ADL models. This paper
makes three main contributions. First, we develop a hybrid approach to activity
modeling that combines the strengths of data- and knowledge-driven approaches to
support an incremental modeling process. The approach is built upon the work in
however, extends it by incorporating the learning capabilities to provide a viable
solution for addressing existing problems relating to ADL modeling. Second, we
develop a learning method to discover activities that are performed by users but
have not yet been modeled. Third, we define the characteristics of a user activity
profile and develop analysis methods and associated inference rules to learn a
4. user’s activity profiles, i.e., the specific way the user performs activities. The
learning methods of activity profiles can detect the changing manner an activity is
performed, thus allowing ADL models to adapt over time. We have implemented
the approach in a feature-rich assistive living system.
Modules:
1. Activity Module.
2. Categories.
3. Carer module.
4. User Module.
5. Reports Module.
Module description:
1. Activity Module:
In the Activity module, the user can register the User Activities,after
registering the activity the e-mail will go to the respected carer along with the
registered activity details.In “An Ontology-Based Hybrid Approach to Activity
Modelling for Smart Homes” project , user can reuse the already created
activities which are created by other users and his activities also.
This module is accessed by all the users but for carer registering the
activity functionality is restricted, carer can see only the activities which are
assigned to him Admin/Resident, Relative can use this module.
2. Categories module:
5. This module is accessible to only for Admin/Resident.Using this module
they can register the Activity Types and Sub-Categories in Each activity type.
For an example:
Activity Type:Cooking
Sub-Categories are : Breakfast,Lunch,Snacks,Supper…..
3. Carers module:
This module is accessed by Admin/Resident,Carer .Using this
module admin/resident only having the permissions to add/edit/delete the
carer.where as coming to carer role they can update the details they don’t have
the permissions to add/delete the carer.
4. Users Module:
This module is accessible to admin/Resident only, the other roles don’t have
the permission to access this module using this module the admin can register
the users.
If the admin wants to register the carer user details then the cares should be
avavliable in the carer module(should register under carer module).
5. Reports Module:
Reports module is accessible to admin/Resident roles only,Using this module
,the admin can perform the search on all created useractivities and re-used
activities and based on the search they can generate the reports to excel.They can
do the search by carer,by category,between the dates.Dates is the mandatory fields.
6. Hardware Requirements:
• System : Pentium IV 2.4 GHz.
• Hard Disk : 40 GB.
• Floppy Drive : 1.44 Mb.
• Monitor : 15 VGA Colour.
• Mouse : Logitech.
• Ram : 256 Mb.
Software Requirements:
• Operating system : - Windows 7.
• Front End : - Visual Studio 2008sp1.
• Coding Language : - Asp.net.
• Backend-database :- SQL Server 2008