The document describes a machine learning based approach to analyze the prosocial behavior of employees in an organization. It involves analyzing employee data and attributes of prosocial behavior, such as motivations, competencies, emotions, etc. using machine learning algorithms. The results are then stored in a database. The main objective is to study employee strengths and weaknesses in handling different situations. It aims to revolutionize understanding of prosocial attributes through machine learning.
The document proposes a deep reinforcement learning method for analyzing returns in industries and stock markets. It involves designing a framework using deep reinforcement learning algorithms to predict return on investment. The framework will analyze transactional databases for industries and stock markets. It aims to predict industry returns and revolutionize stock market return analysis by predicting stock market returns.
The document describes a proposed invention for machine learning approaches to analyze stock market prediction and mutual fund portfolio management. It involves using machine learning models to analyze datasets of stock market and mutual fund investments to understand their interrelationships and predict profitable investments. The system would include databases of stock market and mutual fund data, machine learning units to analyze the data, and a prediction unit to predict mutual fund portfolios and profits/losses based on the analysis. The goal is to provide insights into the positive and negative aspects of both the stock market and mutual fund portfolio management.
The document describes a machine learning based approach to analyze the growth of tourism. It proposes using algorithms like k-means and naive bayes to analyze factors that influence tourism growth and the impact of the COVID-19 pandemic. The main objectives are to design a framework to analyze tourism growth, identify factors responsible for improving tourism, and increase the growth and economy of a nation. It involves collecting tourism data and using machine learning to predict growth and uncover hidden factors.
The document describes a proposed invention for a deep learning and computational statistics based approach to analyze student employment during the COVID-19 pandemic. The invention includes a deep learning unit to analyze student databases from various institutions, a computational unit to analyze employment strategies and conditions during the pandemic, a decision tree algorithm to predict hidden factors responsible for employment crises, and a data analysis unit to analyze employment data sets. The overall aim is to design a deep learning framework to study student employment data and the impact of the COVID-19 pandemic using computational statistics techniques.
EFFECTIVENESS OF E-RKAP SYSTEM IMPLEMENTATION WITH HUMAN, ORGANIZING, TECHNOL...AJHSSR Journal
ABSTRACT: This study aims to test and prove the influence of human, organizing and technology on the
effectiveness of the E-RKAP system. The hypotheses of this study are System Use affects the Effectiveness of the
E-RKAP System, User Satisfaction affects the Effectiveness of the E-RKAP System, Structural affects the
Effectiveness of the E-RKAP System, Environment affects the Effectiveness of the E-RKAPSystem, System
Quality affects the Effectiveness of the E-RKAP System, Information Quality affects the Effectiveness of the ERKAP System, Service Quality affects the Effectiveness of the E-RKAP System. The population of this study
were company employees. The sampling technique used in this study was purposive sampling which obtained a
sample of 90 people. This study shows that system use, use satisfaction, structure, environment, information
quality and service quality have no influence on the effectiveness of the E-RKAP system. System quality has an
influence on the effectiveness of the E-RKAP system.
KEYWORDS : Effectiveness, E-RKAP system, HOT Fit.
FORMALIZATION & DATA ABSTRACTION DURING USE CASE MODELING IN OBJECT ORIENTED ...cscpconf
In object oriented analysis and design, use cases represent the things of value that the system performs for its actors in UML and unified process. Use cases are not functions or features.
They allow us to get behavioral abstraction of the system to be. The purpose of the behavioral abstraction is to get to the heart of what a system must do, we must first focus on who (or what)
will use it, or be used by it. After we do this, we look at what the system must do for those users in order to do something useful. That is what exactly we expect from the use cases as the
behavioral abstraction. Apart from this fact use cases are the poor candidates for the data abstraction. Rather the do not have data abstraction. The main reason is it shows or describes
the sequence of events or actions performed by the actor or use case, it does not take data in to account. As we know in earlier stages of the development we believe in ‘what’ rather than
‘how’. ‘What’ does not need to include data whereas ‘how’ depicts the data. As use case moves around ‘what’ only we are not able to extract the data. So in order to incorporate data in use cases one must feel the need of data at the initial stages of the development. We have developed the technique to integrate data in to the uses cases. This paper is regarding our investigations to take care of data during early stages of the software development. The collected abstraction of data helps in the analysis and then assist in forming the attributes of the candidate classes. This makes sure that we will not miss any attribute that is required in the abstracted behavior using use cases. Formalization adds to the accuracy of the data abstraction. We have investigated object constraint language to perform better data abstraction during analysis & design in unified paradigm. In this paper we have presented our research regarding early stage data abstraction and its formalization.
Formalization & data abstraction during use case modeling in object oriented ...csandit
This document discusses formalization and data abstraction during use case modeling in object-oriented analysis and design. It provides background on use case modeling and describes how data can be abstracted from use case steps. The document then presents a case study on an e-retail system to demonstrate modeling use cases, actors, and their relationships. It also discusses using activity diagrams to represent use case flows and the Object Constraint Language to add formalism and accuracy to data abstraction during analysis and design.
Recommendation System using Machine Learning TechniquesIRJET Journal
This document discusses implementing a movie recommendation system using machine learning techniques. It first reviews different recommendation approaches like content filtering, collaborative filtering, and their advantages/disadvantages. It then proposes building a movie recommendation system that uses machine learning models trained on movie metadata and user ratings data. Specifically, it will use content and collaborative filtering approaches along with cosine similarity and build recommendation models to suggest movies to users based on their preferences. The system will be tested and the best performing model will be used to create recommendations in a user interface.
The document proposes a deep reinforcement learning method for analyzing returns in industries and stock markets. It involves designing a framework using deep reinforcement learning algorithms to predict return on investment. The framework will analyze transactional databases for industries and stock markets. It aims to predict industry returns and revolutionize stock market return analysis by predicting stock market returns.
The document describes a proposed invention for machine learning approaches to analyze stock market prediction and mutual fund portfolio management. It involves using machine learning models to analyze datasets of stock market and mutual fund investments to understand their interrelationships and predict profitable investments. The system would include databases of stock market and mutual fund data, machine learning units to analyze the data, and a prediction unit to predict mutual fund portfolios and profits/losses based on the analysis. The goal is to provide insights into the positive and negative aspects of both the stock market and mutual fund portfolio management.
The document describes a machine learning based approach to analyze the growth of tourism. It proposes using algorithms like k-means and naive bayes to analyze factors that influence tourism growth and the impact of the COVID-19 pandemic. The main objectives are to design a framework to analyze tourism growth, identify factors responsible for improving tourism, and increase the growth and economy of a nation. It involves collecting tourism data and using machine learning to predict growth and uncover hidden factors.
The document describes a proposed invention for a deep learning and computational statistics based approach to analyze student employment during the COVID-19 pandemic. The invention includes a deep learning unit to analyze student databases from various institutions, a computational unit to analyze employment strategies and conditions during the pandemic, a decision tree algorithm to predict hidden factors responsible for employment crises, and a data analysis unit to analyze employment data sets. The overall aim is to design a deep learning framework to study student employment data and the impact of the COVID-19 pandemic using computational statistics techniques.
EFFECTIVENESS OF E-RKAP SYSTEM IMPLEMENTATION WITH HUMAN, ORGANIZING, TECHNOL...AJHSSR Journal
ABSTRACT: This study aims to test and prove the influence of human, organizing and technology on the
effectiveness of the E-RKAP system. The hypotheses of this study are System Use affects the Effectiveness of the
E-RKAP System, User Satisfaction affects the Effectiveness of the E-RKAP System, Structural affects the
Effectiveness of the E-RKAP System, Environment affects the Effectiveness of the E-RKAPSystem, System
Quality affects the Effectiveness of the E-RKAP System, Information Quality affects the Effectiveness of the ERKAP System, Service Quality affects the Effectiveness of the E-RKAP System. The population of this study
were company employees. The sampling technique used in this study was purposive sampling which obtained a
sample of 90 people. This study shows that system use, use satisfaction, structure, environment, information
quality and service quality have no influence on the effectiveness of the E-RKAP system. System quality has an
influence on the effectiveness of the E-RKAP system.
KEYWORDS : Effectiveness, E-RKAP system, HOT Fit.
FORMALIZATION & DATA ABSTRACTION DURING USE CASE MODELING IN OBJECT ORIENTED ...cscpconf
In object oriented analysis and design, use cases represent the things of value that the system performs for its actors in UML and unified process. Use cases are not functions or features.
They allow us to get behavioral abstraction of the system to be. The purpose of the behavioral abstraction is to get to the heart of what a system must do, we must first focus on who (or what)
will use it, or be used by it. After we do this, we look at what the system must do for those users in order to do something useful. That is what exactly we expect from the use cases as the
behavioral abstraction. Apart from this fact use cases are the poor candidates for the data abstraction. Rather the do not have data abstraction. The main reason is it shows or describes
the sequence of events or actions performed by the actor or use case, it does not take data in to account. As we know in earlier stages of the development we believe in ‘what’ rather than
‘how’. ‘What’ does not need to include data whereas ‘how’ depicts the data. As use case moves around ‘what’ only we are not able to extract the data. So in order to incorporate data in use cases one must feel the need of data at the initial stages of the development. We have developed the technique to integrate data in to the uses cases. This paper is regarding our investigations to take care of data during early stages of the software development. The collected abstraction of data helps in the analysis and then assist in forming the attributes of the candidate classes. This makes sure that we will not miss any attribute that is required in the abstracted behavior using use cases. Formalization adds to the accuracy of the data abstraction. We have investigated object constraint language to perform better data abstraction during analysis & design in unified paradigm. In this paper we have presented our research regarding early stage data abstraction and its formalization.
Formalization & data abstraction during use case modeling in object oriented ...csandit
This document discusses formalization and data abstraction during use case modeling in object-oriented analysis and design. It provides background on use case modeling and describes how data can be abstracted from use case steps. The document then presents a case study on an e-retail system to demonstrate modeling use cases, actors, and their relationships. It also discusses using activity diagrams to represent use case flows and the Object Constraint Language to add formalism and accuracy to data abstraction during analysis and design.
Recommendation System using Machine Learning TechniquesIRJET Journal
This document discusses implementing a movie recommendation system using machine learning techniques. It first reviews different recommendation approaches like content filtering, collaborative filtering, and their advantages/disadvantages. It then proposes building a movie recommendation system that uses machine learning models trained on movie metadata and user ratings data. Specifically, it will use content and collaborative filtering approaches along with cosine similarity and build recommendation models to suggest movies to users based on their preferences. The system will be tested and the best performing model will be used to create recommendations in a user interface.
Modern Resume Analyser For Students And OrganisationsIRJET Journal
The document describes a resume analysis web application that analyzes uploaded resumes in PDF format. It extracts information from the resume using natural language processing and text mining. The application provides a resume score based on the presence of key elements and gives feedback to help users improve their resume. It aims to help job seekers improve their chances of getting interviews by identifying issues in their resumes. The application uses modules like streamlit, Resumeparser, pandas and matplotlib to analyze resumes, extract structured data, store and visualize information.
Simulating service oriented systems a surve and the services-aware simulation...Nexgen Technology
Ecruitment Solutions (ECS) is one of the leading Delhi based Software Development & HR Consulting Firm, which is assessed at the level of ISO 9001:2008 standard. ECS offers an awesome project and product based solutions to many customers around the globe.
In addition, ECS has also widened its wings by the way consummating academic projects especially for the final year professional degree students in India. ECS consist of a technical team that has solved many IEEE papers and delivered world-class solutions .
Simulating service oriented systems a surve and the services-aware simulation...Nexgen Technology
Ecruitment Solutions (ECS) is one of the leading Delhi based Software Development & HR Consulting Firm, which is assessed at the level of ISO 9001:2008 standard. ECS offers an awesome project and product based solutions to many customers around the globe.
In addition, ECS has also widened its wings by the way consummating academic projects especially for the final year professional degree students in India. ECS consist of a technical team that has solved many IEEE papers and delivered world-class solutions .
Augmented Reality (AR) for Education SystemIRJET Journal
This document discusses using augmented reality (AR) technology to improve education, specifically for teaching human anatomy. It provides background on AR and how it is being applied in medical education. The document then reviews several existing studies on using AR for anatomy education. Most used portable devices and the Unity/Vuforia platforms to display 3D anatomy models over real-world images. The studies found that AR improved learning outcomes for anatomy compared to traditional methods. This document proposes developing an AR application with 3D models of all human organs to provide more detailed information during anatomy studies.
International Refereed Journal of Engineering and Science (IRJES)irjes
International Refereed Journal of Engineering and Science (IRJES) is a leading international journal for publication of new ideas, the state of the art research results and fundamental advances in all aspects of Engineering and Science. IRJES is a open access, peer reviewed international journal with a primary objective to provide the academic community and industry for the submission of half of original research and applications
2005-Model-guided information discovery for intelligence analysis-p269-alonsoHua Li, PhD
This document describes an approach to modeling intelligence analysts to guide information discovery. The Analyst Modeling Environment (AME) dynamically models an analyst's interests using a concept map that represents concepts, relationships between concepts, and associated interest levels. The model is adapted over time based on the analyst's interactions and feedback. An evaluation compared using AME to guide searches via the model to searches using Google alone, finding that the AME approach improved precision and recall.
The article introduces automated traceability tools and techniques. It discusses backward and forward traceability and provides an overview of automated traceability software solutions, including a probabilistic network model. The article presents experimental results using recall, precision, and lag metrics to analyze different techniques. It concludes by introducing best practices for automated traceability, arguing for unifying development processes and adding traceability support to third-party modeling tools.
This document discusses techniques for personalizing search engine results using concept-based user profiles. It proposes six methods for creating user profiles that capture both positive and negative user preferences and interests based on concepts extracted from search queries and results. The methods use machine learning algorithms to learn weighted concept vectors representing user profiles. An evaluation found that profiles capturing both positive and negative preferences performed best. The goal is to resolve query ambiguity and increase result relevance by understanding each user's unique interests and preferences.
Tourism Based Hybrid Recommendation SystemIRJET Journal
This paper proposes a hybrid tourism recommendation system that combines collaborative filtering, content-based filtering, and aspect-based sentiment analysis to improve accuracy and address cold start problems. The system analyzes user ratings and reviews to predict ratings for other tourism packages. It stores ratings, reviews, and sentiment information in a database to enhance recommendations. Results showed the hybrid approach increased efficiency over conventional methods. Future work could include testing on additional datasets and expanding the system.
TOWARDS MAKING SENSE OF ONLINE REVIEWS BASED ON STATEMENT EXTRACTIONcscpconf
Product reviews are valuable resource for information seeking and decision making purposes. Products such as smart phone are discussed based on their aspects e.g. battery life, screen quality, etc. Knowing user statements about aspects is relevant as it will guide other users in their buying process. In this paper, we automatically extract user statements about aspects for a given product. Our extraction method is based on dependency parse information of individual reviews. The parse information is used to learn patterns and use them to determine the user statements for a given aspect. Our results show that our methods are able to extract potentially
useful statements for given aspects.
The document discusses use cases, which describe how users will interact with a system to perform tasks and achieve goals. Use cases help capture functional requirements, provide examples for developers, and form a basis for testing. Key elements of a use case include a name, summary, actors, flow of events, and exceptions. The document provides an example use case for raising an employee's salary and guidelines for writing effective use cases.
The document discusses use cases, which describe how users will interact with a system to perform tasks and achieve goals. Use cases help capture functional requirements, provide examples for developers, and form a basis for testing. Elements of a use case include a name, summary, frequency, actors, preconditions, steps, exceptions, and postconditions. An example use case described raising an employee's salary in a human-readable story format. Use cases should be understandable, meaningful, and focus on valuable tasks without being too broad or narrow in scope.
A Brief Survey on Recommendation System for a Gradient Classifier based Inade...Christo Ananth
Recommender systems are a common and successful feature of modern internet services. (RS). A service that connects users to tasks is known as a recommendation system. Making it simpler for customers and project providers to identify and receive projects and other solutions achieves this. A recommendation system is a strong device that may be advantageous to a business or organisation. This study explores whether recommender systems may be utilised to solve cold-start and data-sparsely issues with recommender systems, as well as delays and business productivity. Recommender systems make it easier and more convenient for people to get information. Over the years, several different methods have been created. We employ a potent predictive regression method known as the slope classifier algorithm, which minimises a loss function by repeatedly choosing a function that points in the direction of the weak hypothesis or the negative gradient. A group that is experiencing trouble handling cold beginnings and data sparsity will send enormous datasets to the suggested systems team. The users have to finish their job by the deadline in order to overcome these challenges.
A Survey on Recommendation System based on Knowledge Graph and Machine LearningIRJET Journal
This document provides an overview of recommendation systems based on knowledge graphs and machine learning. It first defines key concepts like recommendation systems, knowledge graphs, meta paths, and knowledge graph embedding. It then discusses standard recommendation approaches like content-based filtering, collaborative filtering, and hybrid filtering. The document focuses on knowledge graph-based recommendation systems, how they address issues with traditional approaches, and how machine learning can be used alongside knowledge graphs. It reviews several papers on using knowledge graphs for recommendations and proposes a comparative study. The document also outlines a proposed recommendation system and potential future research directions in the domain.
1. The document describes an administrator user manual for an online student archive system.
2. As an administrator, you can monitor the entire system, ban users for inappropriate behavior, and moderate discussion forums.
3. The manual provides instructions for administrator login, searching for students and recruiters, viewing user homepages, and a list of banned users.
The document discusses use case analysis and diagramming. It defines a use case as a technique used in system analysis to identify, clarify, and organize system requirements. A use case diagram is a simple representation of users/actors interacting with a system. The key elements of a use case include actors, the system boundary, use cases, and associations. Use cases help gather system requirements by describing interactions from a user's perspective and identifying functional needs. They contribute to defining functional requirements for a system.
Computer Assisted System for Enhancing the Application of Ergonomics in Manuf...Waqas Tariq
The current paper focuses on the need and a plan for the development of a Computer Assisted Interactive and Intelligent Ergonomics System which, through a user friendly consulting mode presents the guidelines and formalized procedures for the application of ergonomics knowledge and data in manufacturing organizations. The system is expected to allow a production engineer or supervisor or even a worker with minimal ergonomics knowledge, to understand, analyze and find solutions to problems related to industrial ergonomics. A survey which is conducted in this regard is also described in this paper and through the out come of the survey it is shown that the poor acceptance and application of ergonomics is due to lack of exposure to ergonomics knowledge and non-availability of ergonomics knowledge in a suitable form for its application in manufacturing systems. 10
Services Modeling based on SOA and BPM for Information System Flexibility Imp...IJECEIAES
The lack of identify services mechanism which is related to the development of information systems could be impact in wasting time, over budget and can not adapt to the changing environment. This phenomenon is happened by the belief that lack of capturing user requirement. This is due to consider the business environment is always running normally. In fact, the development of the system needs a way to anticipate the business environment that unpredictable changes.Therefore, the phenomenon on the need for modeling services can able to respond to the changing needs of users still have a chancein this study. It explores modeling services to synergize SOA and BPM.Several previous studies generally use a business driven approach, technical partially driven to develop the service modeling. This leads to the question of how a service should be modeled so that it can be applied in different contexts and business processes also. It is support user needs in diversity and heterogeneous system environments. This Conditions occurs in corporate university. The case studies in this research is a Learning Management System (LMS) in Academic Enterprise System (EAS). The research stages are: (1) Analysis of Synergy in SOA and BPM, (2) Analysis of User Experience in LMS Academic Enterprise System (L-EAS), (3) Analysis of Modeling Framework, (4) Proposed Framework that aligning SOA and BPM. The result of this study is proposed system framework based on services to increase the flexibility of information systems at LMS Academic Enterprise System (L-EAS).
A method for business process reengineering based on enterprise ontologyijseajournal
This document proposes a new method for business process reengineering (BPR) based on enterprise ontology. The key aspects of the proposed method are:
1. Using an enterprise ontology model (DEMO) to analyze the current processes, interactions between processes and actors, and information flows.
2. Choosing processes for reengineering based not only on individual processes, but also processes that are closely connected to the initially chosen processes to avoid inconsistencies.
3. Redesigning chosen processes while considering future changes and using simulation to analyze redesigned processes before implementation.
The method is demonstrated on a case study of a company that distributes car body segments. Enterprise ontology is used to model the current system and
This document provides information about the Tecnia Journal of Management Studies, including details about articles in the latest issue. The issue includes 10 articles covering topics such as India's economic policy response to COVID-19, skill development through the Pradhan Mantri Kaushal Vikas Yojana scheme, record keeping practices in Assam, implications of multigenerational diversity in academia, risk management, human resource development in tourism, dimensions of rural development in India, red ocean strategy, business analytics, and data analytics in human resources. The journal is published biannually by the Tecnia Institute of Advanced Studies.
This document discusses the evolution of human resource competencies and roles in India. It outlines how the human resource function has changed over time from a focus on welfare in the early 20th century to an emphasis on human resource management and development starting in the 1980s. The economic reforms of the 1990s placed increased pressure on human resources to help organizations achieve their goals and compete internationally. As a result, HR practitioners in India are now expected to possess new competencies to fulfill evolving role expectations in the changing business environment. However, no prior empirical research has identified the specific new competencies and roles needed for HR professionals to succeed in India. This paper aims to address that gap by exploring the competencies now required of HR managers.
Modern Resume Analyser For Students And OrganisationsIRJET Journal
The document describes a resume analysis web application that analyzes uploaded resumes in PDF format. It extracts information from the resume using natural language processing and text mining. The application provides a resume score based on the presence of key elements and gives feedback to help users improve their resume. It aims to help job seekers improve their chances of getting interviews by identifying issues in their resumes. The application uses modules like streamlit, Resumeparser, pandas and matplotlib to analyze resumes, extract structured data, store and visualize information.
Simulating service oriented systems a surve and the services-aware simulation...Nexgen Technology
Ecruitment Solutions (ECS) is one of the leading Delhi based Software Development & HR Consulting Firm, which is assessed at the level of ISO 9001:2008 standard. ECS offers an awesome project and product based solutions to many customers around the globe.
In addition, ECS has also widened its wings by the way consummating academic projects especially for the final year professional degree students in India. ECS consist of a technical team that has solved many IEEE papers and delivered world-class solutions .
Simulating service oriented systems a surve and the services-aware simulation...Nexgen Technology
Ecruitment Solutions (ECS) is one of the leading Delhi based Software Development & HR Consulting Firm, which is assessed at the level of ISO 9001:2008 standard. ECS offers an awesome project and product based solutions to many customers around the globe.
In addition, ECS has also widened its wings by the way consummating academic projects especially for the final year professional degree students in India. ECS consist of a technical team that has solved many IEEE papers and delivered world-class solutions .
Augmented Reality (AR) for Education SystemIRJET Journal
This document discusses using augmented reality (AR) technology to improve education, specifically for teaching human anatomy. It provides background on AR and how it is being applied in medical education. The document then reviews several existing studies on using AR for anatomy education. Most used portable devices and the Unity/Vuforia platforms to display 3D anatomy models over real-world images. The studies found that AR improved learning outcomes for anatomy compared to traditional methods. This document proposes developing an AR application with 3D models of all human organs to provide more detailed information during anatomy studies.
International Refereed Journal of Engineering and Science (IRJES)irjes
International Refereed Journal of Engineering and Science (IRJES) is a leading international journal for publication of new ideas, the state of the art research results and fundamental advances in all aspects of Engineering and Science. IRJES is a open access, peer reviewed international journal with a primary objective to provide the academic community and industry for the submission of half of original research and applications
2005-Model-guided information discovery for intelligence analysis-p269-alonsoHua Li, PhD
This document describes an approach to modeling intelligence analysts to guide information discovery. The Analyst Modeling Environment (AME) dynamically models an analyst's interests using a concept map that represents concepts, relationships between concepts, and associated interest levels. The model is adapted over time based on the analyst's interactions and feedback. An evaluation compared using AME to guide searches via the model to searches using Google alone, finding that the AME approach improved precision and recall.
The article introduces automated traceability tools and techniques. It discusses backward and forward traceability and provides an overview of automated traceability software solutions, including a probabilistic network model. The article presents experimental results using recall, precision, and lag metrics to analyze different techniques. It concludes by introducing best practices for automated traceability, arguing for unifying development processes and adding traceability support to third-party modeling tools.
This document discusses techniques for personalizing search engine results using concept-based user profiles. It proposes six methods for creating user profiles that capture both positive and negative user preferences and interests based on concepts extracted from search queries and results. The methods use machine learning algorithms to learn weighted concept vectors representing user profiles. An evaluation found that profiles capturing both positive and negative preferences performed best. The goal is to resolve query ambiguity and increase result relevance by understanding each user's unique interests and preferences.
Tourism Based Hybrid Recommendation SystemIRJET Journal
This paper proposes a hybrid tourism recommendation system that combines collaborative filtering, content-based filtering, and aspect-based sentiment analysis to improve accuracy and address cold start problems. The system analyzes user ratings and reviews to predict ratings for other tourism packages. It stores ratings, reviews, and sentiment information in a database to enhance recommendations. Results showed the hybrid approach increased efficiency over conventional methods. Future work could include testing on additional datasets and expanding the system.
TOWARDS MAKING SENSE OF ONLINE REVIEWS BASED ON STATEMENT EXTRACTIONcscpconf
Product reviews are valuable resource for information seeking and decision making purposes. Products such as smart phone are discussed based on their aspects e.g. battery life, screen quality, etc. Knowing user statements about aspects is relevant as it will guide other users in their buying process. In this paper, we automatically extract user statements about aspects for a given product. Our extraction method is based on dependency parse information of individual reviews. The parse information is used to learn patterns and use them to determine the user statements for a given aspect. Our results show that our methods are able to extract potentially
useful statements for given aspects.
The document discusses use cases, which describe how users will interact with a system to perform tasks and achieve goals. Use cases help capture functional requirements, provide examples for developers, and form a basis for testing. Key elements of a use case include a name, summary, actors, flow of events, and exceptions. The document provides an example use case for raising an employee's salary and guidelines for writing effective use cases.
The document discusses use cases, which describe how users will interact with a system to perform tasks and achieve goals. Use cases help capture functional requirements, provide examples for developers, and form a basis for testing. Elements of a use case include a name, summary, frequency, actors, preconditions, steps, exceptions, and postconditions. An example use case described raising an employee's salary in a human-readable story format. Use cases should be understandable, meaningful, and focus on valuable tasks without being too broad or narrow in scope.
A Brief Survey on Recommendation System for a Gradient Classifier based Inade...Christo Ananth
Recommender systems are a common and successful feature of modern internet services. (RS). A service that connects users to tasks is known as a recommendation system. Making it simpler for customers and project providers to identify and receive projects and other solutions achieves this. A recommendation system is a strong device that may be advantageous to a business or organisation. This study explores whether recommender systems may be utilised to solve cold-start and data-sparsely issues with recommender systems, as well as delays and business productivity. Recommender systems make it easier and more convenient for people to get information. Over the years, several different methods have been created. We employ a potent predictive regression method known as the slope classifier algorithm, which minimises a loss function by repeatedly choosing a function that points in the direction of the weak hypothesis or the negative gradient. A group that is experiencing trouble handling cold beginnings and data sparsity will send enormous datasets to the suggested systems team. The users have to finish their job by the deadline in order to overcome these challenges.
A Survey on Recommendation System based on Knowledge Graph and Machine LearningIRJET Journal
This document provides an overview of recommendation systems based on knowledge graphs and machine learning. It first defines key concepts like recommendation systems, knowledge graphs, meta paths, and knowledge graph embedding. It then discusses standard recommendation approaches like content-based filtering, collaborative filtering, and hybrid filtering. The document focuses on knowledge graph-based recommendation systems, how they address issues with traditional approaches, and how machine learning can be used alongside knowledge graphs. It reviews several papers on using knowledge graphs for recommendations and proposes a comparative study. The document also outlines a proposed recommendation system and potential future research directions in the domain.
1. The document describes an administrator user manual for an online student archive system.
2. As an administrator, you can monitor the entire system, ban users for inappropriate behavior, and moderate discussion forums.
3. The manual provides instructions for administrator login, searching for students and recruiters, viewing user homepages, and a list of banned users.
The document discusses use case analysis and diagramming. It defines a use case as a technique used in system analysis to identify, clarify, and organize system requirements. A use case diagram is a simple representation of users/actors interacting with a system. The key elements of a use case include actors, the system boundary, use cases, and associations. Use cases help gather system requirements by describing interactions from a user's perspective and identifying functional needs. They contribute to defining functional requirements for a system.
Computer Assisted System for Enhancing the Application of Ergonomics in Manuf...Waqas Tariq
The current paper focuses on the need and a plan for the development of a Computer Assisted Interactive and Intelligent Ergonomics System which, through a user friendly consulting mode presents the guidelines and formalized procedures for the application of ergonomics knowledge and data in manufacturing organizations. The system is expected to allow a production engineer or supervisor or even a worker with minimal ergonomics knowledge, to understand, analyze and find solutions to problems related to industrial ergonomics. A survey which is conducted in this regard is also described in this paper and through the out come of the survey it is shown that the poor acceptance and application of ergonomics is due to lack of exposure to ergonomics knowledge and non-availability of ergonomics knowledge in a suitable form for its application in manufacturing systems. 10
Services Modeling based on SOA and BPM for Information System Flexibility Imp...IJECEIAES
The lack of identify services mechanism which is related to the development of information systems could be impact in wasting time, over budget and can not adapt to the changing environment. This phenomenon is happened by the belief that lack of capturing user requirement. This is due to consider the business environment is always running normally. In fact, the development of the system needs a way to anticipate the business environment that unpredictable changes.Therefore, the phenomenon on the need for modeling services can able to respond to the changing needs of users still have a chancein this study. It explores modeling services to synergize SOA and BPM.Several previous studies generally use a business driven approach, technical partially driven to develop the service modeling. This leads to the question of how a service should be modeled so that it can be applied in different contexts and business processes also. It is support user needs in diversity and heterogeneous system environments. This Conditions occurs in corporate university. The case studies in this research is a Learning Management System (LMS) in Academic Enterprise System (EAS). The research stages are: (1) Analysis of Synergy in SOA and BPM, (2) Analysis of User Experience in LMS Academic Enterprise System (L-EAS), (3) Analysis of Modeling Framework, (4) Proposed Framework that aligning SOA and BPM. The result of this study is proposed system framework based on services to increase the flexibility of information systems at LMS Academic Enterprise System (L-EAS).
A method for business process reengineering based on enterprise ontologyijseajournal
This document proposes a new method for business process reengineering (BPR) based on enterprise ontology. The key aspects of the proposed method are:
1. Using an enterprise ontology model (DEMO) to analyze the current processes, interactions between processes and actors, and information flows.
2. Choosing processes for reengineering based not only on individual processes, but also processes that are closely connected to the initially chosen processes to avoid inconsistencies.
3. Redesigning chosen processes while considering future changes and using simulation to analyze redesigned processes before implementation.
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customer-relationship-management-vs-consumerism-2FDn.pdfTHIMMAIAH BC
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Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.pptHenry Hollis
The History of NZ 1870-1900.
Making of a Nation.
From the NZ Wars to Liberals,
Richard Seddon, George Grey,
Social Laboratory, New Zealand,
Confiscations, Kotahitanga, Kingitanga, Parliament, Suffrage, Repudiation, Economic Change, Agriculture, Gold Mining, Timber, Flax, Sheep, Dairying,
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
The chapter Lifelines of National Economy in Class 10 Geography focuses on the various modes of transportation and communication that play a vital role in the economic development of a country. These lifelines are crucial for the movement of goods, services, and people, thereby connecting different regions and promoting economic activities.
1. 1
FORM 2
THE PATENTS ACT, 1970
(39 OF 1970)
AND
THE PATENT RULES, 2003
COMPLETE SPECIFICATION
(See section 10 and rule 13)
Title of Invention:
“MACHINE LEARNING BASED APPROACH TO ANALYZE THE PROSOCIAL
BEHAVIOR OF EMPLOYEES OF AN ORGANIZATION”
NAME OF APPLICANT NATIONALITY ADDRESS
DR. C. DHANDAPANI INDIAN
PRINCIPAL, RAJAGOPAL POLYTECHNIC
COLLEGE, GUDIYATTAM-632602.
DR. A. SHARMILA INDIAN
ASSOCIATE PROFESSOR, SCHOOL OF
COMMERCE, JAIN (DEEMED-TO-BE
UNIVERSITY) 44/4, DISTRICT FUND
ROAD, JAYANAGAR 9TH BLOCK,
BANGALORE- 560009
DR.S.MURALLIDHAR INDIAN
ASSOCIATE PROFESSOR/ SCHOOL OF
COMMERCE, JAIN DEEMED TO BE
UNIVERSITY, BENGALURU, 560069
EZAZ ABDULSATTAR SHAIKH INDIAN
ASSISTANT PROFESSOR, DEPARTMENT
OF PSYCHOLOGY RADHABAI KALE
MAHILA MAHAVIDYALAYA,
AHMEDNAGAR
KARTHIKAYANI.K INDIAN CHENNAI
DR. ABHISHEK INDIAN
ASSISTANT PROFESSOR, BABA
MASTNATH UNIVERSITY,ROHTAK
124021
N.R.NARESH INDIAN
ASSISTANT PROFESSOR, SCHOOL OF
COMMERCE, JAIN (DEEMED-TO-BE
UNIVERSITY) JAYANAGAR 9TH BLOCK
BENGALURU 560069
DR. RAVINDRA KUMAR INDIAN
FACULTY OF LIBERAL ARTS, ICFAI
UNIVERSITY, TRIPURA 799210
DR.P.ARULPRAKASH INDIAN
ASSOCIATE PROFESSOR & HEAD,
DEPARTMENT OF CSE, RATHINAM
TECHNICAL CAMPUS,
MUGANDA MUNIR MANINI KENYAN
SENIOR LECTURER/DEPARTMENT OF
ECONOMICS, FINANCE AND
ACCOUNTING/KIBABII UNIVERSITY/
BUNGOMA/ 1699-50200
MRS SHYAMALI DAS INDIA
PHD SCHOLAR AT SILICON INSTITUTE
OF TECHNOLOGY IN
BHUBANESWAR,ODISHA
DR THIMMAIAH BAYAVANDA
CHINNAPPA
INDIAN
DEPARTMENT OF MANAGEMENT
STUDIES , IVANE JAVANKISHI TBILISI
STATE UNIVERSITY OF GEORGIA
The following specification describes the invention and the manner in which it is to be
performed.
2. 2
FIELD OF INVENTION
The present invention relates to the field of designing & implementing a framework of
Machine Learning approach to analyze the prosocial behaviour of employees. The
employees of an organization are studied for their strength and weaknesses.
BACKGROUND OF INVENTION
[0001] Background description includes information that may be useful in
understanding the present invention. It is not an admission that any of the
information provided herein is prior art or relevant to the presently claimed
invention, or that any publication specifically or implicitly referenced is prior art.
[0002] Prosocial behaviour is defined as behaviour through which people benefit
others including helping, cooperating, comforting, sharing and donating. Obeying
the rules and conforming to socially accepted behaviours are also regarded as
prosocial behaviour. Prosocial behaviour fosters positive traits that benefits
employees of an organization.
[0003] A number of different types of employee assessment systems that are known
in the prior art. For example, the following patents are provided for their supportive
teachings and are all incorporated by reference.
[0004] US20050267850A1 A method for using machine learning to solve problems
having either a “positive” result (the event occurred) or a “negative” result (the event
did not occur), in which the probability of a positive result is very low and the
consequences of the positive result are significant. Training data is obtained and a
subset of that data is distilled for application to a machine learning system. The
training data includes some records corresponding to the positive result, some
nearest neighbours from the records corresponding to the negative result, and some
other records corresponding to the negative result. The machine learning system
3. 3
uses a co-evolution approach to obtain a rule set for predicting results after a number
of cycles. The machine system uses a fitness function derived for use with the type
of problem, such as a fitness function based on the sensitivity and positive predictive
value of the rules. The rules are validated using the entire set of training data.
[0005] Prosocial behaviours at work can be considered a key element of
organizational effectiveness in the sense that they lead to improvement in the work
environment through a series of acts performed by employees. The proposed
invention focuses on analyzing the impact of prosocial behaviour attributes on
employees of an organization. The algorithms of ML are used to identify the data
sets for strengths and weakness of employees of an organization.
[0006] Above information is presented as background information only to assist
with an understanding of the present disclosure. No determination has been made,
no assertion is made, and as to whether any of the above might be applicable as prior
art with regard to the present invention.
[0007] In the view of the foregoing disadvantages inherent in the known types of
employee analysis systems now present in the prior art, the present invention
provides an improved system. As such, the general purpose of the present invention,
which will be described subsequently in greater detail, is to provide a new and
improved system to analyze prosocial behavioral aspects of the employees of an
organization using machine learning algorithms that has all the advantages of the
prior art and none of the disadvantages.
SUMMARY OF INVENTION
[0008] In the view of the foregoing disadvantages inherent in the known types of
prosocial behavior systems now present in the prior art, the present invention
provides an improved one. As such, the general purpose of the present invention,
4. 4
which will be described subsequently in greater detail, is to provide a new and
improved system that implements the algorithms of prosocial behavior model which
has all the advantages of the prior art and none of the disadvantages.
[0009] The Main objective of the proposed invention is to design & implement a
framework of machine learning to analyze the prosocial behaviour of employees of
an organization. The invention aims at studying the strengths and weakness of
employees of an organization in handling emotions and various situations.
[0010] Yet another important aspect of the proposed invention is to design a
framework where the attributes of prosocial behaviour of an organization is
analyzed. The database of each and every employee is studied along with prosocial
behaviour along with attributes of prosocial behaviour to identify the traits of
employees in various situations such as motivation, competencies, emotions, etc.
The proposed invention will revolutionize the prosocial attributes through machine
learning algorithms.
[0011] In this respect, before explaining at least one embodiment of the invention in
detail, it is to be understood that the invention is not limited in its application to the
details of construction and to the arrangements of the components set forth in the
following description or illustrated in the various ways. Also, it is to be understood
that the phraseology and terminology employed herein are for the purpose of
description and should not be regarded as limiting.
[0012] These together with other objects of the invention, along with the various
features of novelty which characterize the invention, are pointed out with
particularity in the disclosure. For a better understanding of the invention, its
operating advantages and the specific objects attained by its uses, reference should
be had to the accompanying drawings and descriptive matter in which there are
5. 5
illustrated preferred embodiments of the invention.
BREIF DESCRIPTION OF DRAWINGS
[0013] The invention will be better understood and objects other than those set forth
above will become apparent when consideration is given to the following detailed
description thereof. Such description makes reference to the annexed drawings
wherein:
Figure 1 illustrates the block diagram of Machine Learning based approach to
analyze the Prosocial Behaviour of Employees of an Organization, according to the
embodiment herein.
DETAILED DESCRIPTION OF INVENTION
[0014] In the following detailed description, reference is made to the accompanying
drawings which form a part hereof, and in which is shown by way of illustration
specific embodiments in which the invention may be practiced. These embodiments
are described in sufficient detail to enable those skilled in the art to practice the
invention, and it is to be understood that the embodiments may be combined, or that
other embodiments may be utilized and that structural and logical changes may be
made without departing from the spirit and scope of the present invention. The
following detailed description is, therefore, not to be taken in a limiting sense, and
the scope of the present invention is defined by the appended claims and their
equivalents.
[0015] While the present invention is described herein by way of example using
several embodiments and illustrative drawings, those skilled in the art will recognize
that the invention is neither intended to be limited to the embodiments of drawing or
drawings described, nor intended to represent the scale of the various components.
Further, some components that may form a part of the invention may not be
6. 6
illustrated in certain figures, for ease of illustration, and such omissions do not limit
the embodiments outlined in any way. It should be understood that the drawings and
detailed description thereto are not intended to limit the invention to the particular
form disclosed, but on the contrary, the invention covers all modification/s,
equivalents and alternatives falling within the spirit and scope of the present
invention as defined by the appended claims. The headings are used for
organizational purposes only and are not meant to limit the scope of the description
or the claims. As used throughout this description, the word "may" be used in a
permissive sense (i.e., meaning having the potential to), rather than the mandatory
sense (i.e., meaning must). Further, the words "a" or "a" mean "at least one” and the
word “plurality” means one or more, unless otherwise mentioned. Furthermore, the
terminology and phraseology used herein is solely used for descriptive purposes and
should not be construed as limiting in scope. Language such as "including,"
"comprising," "having," "containing," or "involving," and variations thereof, is
intended to be broad and encompass the subject matter listed thereafter, equivalents,
and any additional subject matter not recited, and is not intended to exclude any
other additives, components, integers or steps. Likewise, the term "comprising" is
considered synonymous with the terms "including" or "containing" for applicable
legal purposes. Any discussion of documents, acts, materials, devices, articles and
the like are included in the specification solely for the purpose of providing a
context for the present invention.
[0016] In this disclosure, whenever an element or a group of elements is preceded
with the transitional phrase "comprising", it is understood that we also contemplate
the same element or group of elements with transitional phrases "consisting
essentially of, "consisting", "selected from the group consisting of”, "including", or
7. 7
"is" preceding the recitation of the element or group of elements and vice versa.
[0017] Prosocial behaviours are those intended to help other people. Behaviours that
can be described as prosocial include feeling empathy and concern for others. These
actions are characterized by a concern for the rights, feelings and welfare of other
people.
[0018] There are various situational and social factors that can influence prosocial
behaviours include the interpretation of others needs, the relationship to others, the
reciprocal altruism, the number of bystanders, the normative pressure to help and the
evaluation of the cost to help. The proposed invention focuses on analyzing the
social behaviour aspects of employees of an organization. The invention is to
understand the positive and negative traits of an organization.
[0019] Reference will now be made in detail to the exemplary embodiment of the
present disclosure. Before describing the detailed embodiments that are in
accordance with the present disclosure, it should be observed that the embodiment
resides primarily in combinations arrangement of the system according to an
embodiment herein and as exemplified in FIG. 1
[0020] Figure 1 illustrates the block diagram of Machine Learning based approach
to analyze the Prosocial Behaviour of Employees of an Organization 100. The
proposed system 100 includes a prosocial behaviour analysis unit 101 which include
attributes of 102, 102, 104 and 105 that represents motivations, competencies,
outputs and emotions. The attributes 102, 103, 104 and 105 are analysed along with
database of employees 109a, 109b and 109c. The data sets are fed in to machine
learning unit 107 for clustering and prediction. The results of prediction algorithm
107 are stored on Data base 108.
[0021] In the following description, for the purpose of explanation, numerous
8. 8
specific details are set forth in order to provide a thorough understanding of the
arrangement of the system according to an embodiment herein. It will be apparent,
however, to one skilled in the art that the present embodiment can be practiced
without these specific details. In other instances, structures are shown in block
diagram form only in order to avoid obscuring the present invention.
Gowthami S
Patent Agent
INPA 3797
On behalf of Applicant
Digitally Signed
Date: 28/05/2022
9. 9
WE CLAIM
1. Machine Learning based approach to analyze the Prosocial Behaviour of Employees
of an Organization comprises of
Behaviour analysis unit;
Machine learning unit and
Resultant unit.
2. Machine Learning based approach to analyze the Prosocial Behaviour of Employees
of an Organization, according to claim 1, includes a behaviour analysis unit,
wherein the behaviour analysis unit will analyse the behaviour of employees against
the attributes of prosocial behaviour.
3. Machine Learning based approach to analyze the Prosocial Behaviour of Employees
of an Organization, according to claim 1, includes a machine learning unit, wherein
the machine learning unit will analyse the data sets of behavioural unit and
prosocial attributes.
4. Machine Learning based approach to analyze the Prosocial Behaviour of Employees
of an Organization, according to claim 1, includes a resultant unit, wherein the
resultant unit will analyse the results of predictive unit.
Gowthami S
Patent Agent
INPA 3797
On behalf of Applicant
Digitally Signed
Date: 28/05/2022
10. 10
ABSTRACT
MACHINE LEARNING BASED APPROACH TO ANALYZE THE PROSOCIAL
BEHAVIOUR OF EMPLOYEES OF AN ORGANIZATION
Machine Learning based approach to analyze the Prosocial Behaviour of Employees of an
Organization is the proposed invention. The invention aims at analyzing the impact of
prosocial behaviours and its attributes on employees of an organization. The invention
implements algorithms of machine learning to analyze the strengths and weakness of
employees of an organization.
Gowthami S
Patent Agent
INPA 3797
On behalf of Applicant
Digitally Signed
Date: 28/05/2022