This document discusses how deep learning can impact future eLearning by analyzing its implications for resource management in eLearning. It examines deep learning applications like personalized learning paths and chatbots. Deep learning models like CNNs, RNNs, DBNs and DNNs are commonly used for sequences, associations, classifications, clusters and predictions in eLearning. A framework is presented showing how deep learning can incorporate existing materials, learner data, and mentor skills to create customized learning. The document summarizes recent deep learning tools in eLearning and their advantages and limitations. Deep learning is evolving to include ways to reuse existing resources to reduce eLearning development costs.
This document discusses a proposed cloud-based e-learning portal. It begins with an abstract describing how cloud computing infrastructure can provide an effective online learning environment by facilitating sharing and reuse of learning content. It then describes three layers of an e-learning platform - a content layer, service layer, and middleware layer which supports exchange of metadata. The document outlines the components of the proposed health predictor system which would allow users to access health information and advice based on their symptoms and personal details. It then reviews related work on e-learning platforms and discusses how the cloud-based model could allow independent learning management systems to share materials flexibly online. In conclusion, it proposes that the cloud-based e-learning portal would provide a more effective
Online Learning Management System and Analytics using Deep LearningDr. Amarjeet Singh
The document describes a proposed online learning management system and analytics platform that utilizes various machine learning and deep learning techniques. Specifically, it discusses implementing gamification elements and augmented reality content to increase student engagement. It also explores using business intelligence and data mining of student data to perform learning analytics, such as predicting student performance and factors affecting achievement, in order to help educators optimize their teaching methods. A variety of classification algorithms like decision trees, random forests, support vector machines, and logistic regression are evaluated for their ability to model student grades based on demographic and academic attributes.
A Survey on E-Learning System with Data MiningIIRindia
E-learning process has been widely used in university campus and educational institutions are playing vital role to enhance the skill set of students. Modern E-learning done by many electronic devices, such as smartphones, Tabs, and so on, on existing E-learning tools is insufficient to achieve the purpose of online training of education. This paper presents a survey of online e-Learning authoring tools for creating and integrating reusable e-learning tool for generation and enhancing existing learning resources with them. The work concentrates on evaluation of the existing e-learning tools a, and authoring tools that have shown good performance in the past for online learners. This survey work takes more than 20 online tools that deal with the educational sector mechanism, for the purpose of observations, and the outcome were analyzed. The findings of this paper are the main reason for developing a new tool, and it shows that educators can enhance existing learning resources by adding assessment resources, if suitable authoring tools are provided. Finally, the different factors that assure the reusability of the created new e-learning tool has been analysed in this paper.E-learning environment is a guide for both students and tutorial management system. The useful on the e-learning system for apart from students and distance learning students. The purpose of using e-learning environment for online education system, developed in data mining for more number of clustering servers and resource chain has been good.
This document proposes a classroom management system using a computer-supported framework. It discusses designing the system with four layers: a web presentation layer, business logic layer, data access layer, and database layer. The document also presents an entity relationship diagram for the student management system and functional module plans for three user types: administrators, teachers, and students. It reviews previous work on Google Classroom and outlines system screens like adding staff, assignments, and file uploads. The conclusion states that the proposed student management system is designed dynamically to automate processes and enhance usability, flexibility, and data security.
CRITERION BASED AUTOMATIC GENERATION OF QUESTION PAPERvivatechijri
In any educational course curriculum, the courses are defined with learning objectives. Teachers conduct assessments to know if students have achieved certain learning objectives or not. The Proposed System provides a solution to choose challenging, well framed questions and make it easy for the user to generate it within a short period of time. The existing tools are rigid and support very basic or limited parameters. In our system we allow admin and user to input a set of questions and mark them with parameters such as difficulty level, complexity, type of question, module, min and max weightage. It contains two modules namely admin module and user module and the question management makes it an effortless task. From the entered input the paper is generated and saved as a .pdf file which can be kept for own or distributed as per the user or admin requirements. The required software and hardware are easily available and easy to work with. The goal is to simplify its current manual method, by means of computerised equipment and complete computer applications, in order to meet its needs, so that its important data/information can be stored for a longer period of time with easy access and manipulation. Basically the project describes how to manage for good performance and better services for the clients.
Solving The Problem of Adaptive E-Learning By Using Social NetworksEswar Publications
This paper propose an enhanced E-Learning Social Network Exploiting Approach focused around chart model and clustering algorithm, which can consequently gathering dispersed e-learners with comparative premiums and make fitting suggestions, which can at last upgrade the collective learning among comparable e-learners. Through closeness
revelation, trust weights overhaul and potential companions change, the algorithm actualized a programmed adjusted trust association with progressively upgraded fulfillments.
Role and Service of Cloud Computing for Higher Education SystemIRJET Journal
1) The document discusses how cloud computing can help address limitations in traditional higher education systems by providing flexible IT infrastructure and resources on an as-needed basis.
2) Traditional systems are limited by high costs of maintaining dedicated infrastructure, inability to adapt to different learning styles, and lack of digital content and tools.
3) Cloud computing allows educational institutions to access computing power, storage, applications, and other resources through the internet without having to build and maintain their own expensive infrastructure. Resources can be scaled up or down as needed.
4) This makes new technologies and digital learning materials more accessible for students and faculty while reducing costs for educational institutions compared to maintaining dedicated systems.
AN OVERVIEW OF CLOUD COMPUTING FOR E-LEARNING WITH ITS KEY BENEFITSijistjournal
Education is a necessary human virtue and essential for society because it reflects the personality of the human being in our society. The effective way of teaching gives the quality of education and advance learning such as e-learning to the learners and also a high quality of teaching to the tutors. Information Technology (IT) plays a significant role in field of education. Now days, E-learning and M-learning have become very popular trends of the education technology riot. E-Learning is the new tool related to the virtualized distance learning by means of electronic communication mechanisms, specifically the Internet to enhance the traditional learning system. An E-learning system generally needs a lot of software and hardware resources. Today, many educational institutions cannot afford such investments and environments therefore cloud computing is the finest solution. The Cloud Computing environment rises swiftly as a natural platform to provide support to e-Learning systems. Hence, this paper presents the impact on using cloud computing for e-learning which contains an innovative environment resulting from both virtual and personal learning environments. This paper introduces concepts of e-learning and cloud computing infrastructure with their key benefits.
This document discusses a proposed cloud-based e-learning portal. It begins with an abstract describing how cloud computing infrastructure can provide an effective online learning environment by facilitating sharing and reuse of learning content. It then describes three layers of an e-learning platform - a content layer, service layer, and middleware layer which supports exchange of metadata. The document outlines the components of the proposed health predictor system which would allow users to access health information and advice based on their symptoms and personal details. It then reviews related work on e-learning platforms and discusses how the cloud-based model could allow independent learning management systems to share materials flexibly online. In conclusion, it proposes that the cloud-based e-learning portal would provide a more effective
Online Learning Management System and Analytics using Deep LearningDr. Amarjeet Singh
The document describes a proposed online learning management system and analytics platform that utilizes various machine learning and deep learning techniques. Specifically, it discusses implementing gamification elements and augmented reality content to increase student engagement. It also explores using business intelligence and data mining of student data to perform learning analytics, such as predicting student performance and factors affecting achievement, in order to help educators optimize their teaching methods. A variety of classification algorithms like decision trees, random forests, support vector machines, and logistic regression are evaluated for their ability to model student grades based on demographic and academic attributes.
A Survey on E-Learning System with Data MiningIIRindia
E-learning process has been widely used in university campus and educational institutions are playing vital role to enhance the skill set of students. Modern E-learning done by many electronic devices, such as smartphones, Tabs, and so on, on existing E-learning tools is insufficient to achieve the purpose of online training of education. This paper presents a survey of online e-Learning authoring tools for creating and integrating reusable e-learning tool for generation and enhancing existing learning resources with them. The work concentrates on evaluation of the existing e-learning tools a, and authoring tools that have shown good performance in the past for online learners. This survey work takes more than 20 online tools that deal with the educational sector mechanism, for the purpose of observations, and the outcome were analyzed. The findings of this paper are the main reason for developing a new tool, and it shows that educators can enhance existing learning resources by adding assessment resources, if suitable authoring tools are provided. Finally, the different factors that assure the reusability of the created new e-learning tool has been analysed in this paper.E-learning environment is a guide for both students and tutorial management system. The useful on the e-learning system for apart from students and distance learning students. The purpose of using e-learning environment for online education system, developed in data mining for more number of clustering servers and resource chain has been good.
This document proposes a classroom management system using a computer-supported framework. It discusses designing the system with four layers: a web presentation layer, business logic layer, data access layer, and database layer. The document also presents an entity relationship diagram for the student management system and functional module plans for three user types: administrators, teachers, and students. It reviews previous work on Google Classroom and outlines system screens like adding staff, assignments, and file uploads. The conclusion states that the proposed student management system is designed dynamically to automate processes and enhance usability, flexibility, and data security.
CRITERION BASED AUTOMATIC GENERATION OF QUESTION PAPERvivatechijri
In any educational course curriculum, the courses are defined with learning objectives. Teachers conduct assessments to know if students have achieved certain learning objectives or not. The Proposed System provides a solution to choose challenging, well framed questions and make it easy for the user to generate it within a short period of time. The existing tools are rigid and support very basic or limited parameters. In our system we allow admin and user to input a set of questions and mark them with parameters such as difficulty level, complexity, type of question, module, min and max weightage. It contains two modules namely admin module and user module and the question management makes it an effortless task. From the entered input the paper is generated and saved as a .pdf file which can be kept for own or distributed as per the user or admin requirements. The required software and hardware are easily available and easy to work with. The goal is to simplify its current manual method, by means of computerised equipment and complete computer applications, in order to meet its needs, so that its important data/information can be stored for a longer period of time with easy access and manipulation. Basically the project describes how to manage for good performance and better services for the clients.
Solving The Problem of Adaptive E-Learning By Using Social NetworksEswar Publications
This paper propose an enhanced E-Learning Social Network Exploiting Approach focused around chart model and clustering algorithm, which can consequently gathering dispersed e-learners with comparative premiums and make fitting suggestions, which can at last upgrade the collective learning among comparable e-learners. Through closeness
revelation, trust weights overhaul and potential companions change, the algorithm actualized a programmed adjusted trust association with progressively upgraded fulfillments.
Role and Service of Cloud Computing for Higher Education SystemIRJET Journal
1) The document discusses how cloud computing can help address limitations in traditional higher education systems by providing flexible IT infrastructure and resources on an as-needed basis.
2) Traditional systems are limited by high costs of maintaining dedicated infrastructure, inability to adapt to different learning styles, and lack of digital content and tools.
3) Cloud computing allows educational institutions to access computing power, storage, applications, and other resources through the internet without having to build and maintain their own expensive infrastructure. Resources can be scaled up or down as needed.
4) This makes new technologies and digital learning materials more accessible for students and faculty while reducing costs for educational institutions compared to maintaining dedicated systems.
AN OVERVIEW OF CLOUD COMPUTING FOR E-LEARNING WITH ITS KEY BENEFITSijistjournal
Education is a necessary human virtue and essential for society because it reflects the personality of the human being in our society. The effective way of teaching gives the quality of education and advance learning such as e-learning to the learners and also a high quality of teaching to the tutors. Information Technology (IT) plays a significant role in field of education. Now days, E-learning and M-learning have become very popular trends of the education technology riot. E-Learning is the new tool related to the virtualized distance learning by means of electronic communication mechanisms, specifically the Internet to enhance the traditional learning system. An E-learning system generally needs a lot of software and hardware resources. Today, many educational institutions cannot afford such investments and environments therefore cloud computing is the finest solution. The Cloud Computing environment rises swiftly as a natural platform to provide support to e-Learning systems. Hence, this paper presents the impact on using cloud computing for e-learning which contains an innovative environment resulting from both virtual and personal learning environments. This paper introduces concepts of e-learning and cloud computing infrastructure with their key benefits.
Educational Data Mining & Students Performance Prediction using SVM TechniquesIRJET Journal
This document discusses using educational data mining and support vector machine (SVM) techniques to predict student performance. It begins with an abstract stating that educational data mining focuses on analyzing educational data to improve learning and institutional effectiveness. The document then provides background on educational data mining and discusses comparing various educational data mining techniques and algorithms using the Weka tool to analyze their accuracy in predicting student performance. Key techniques discussed include SVM, machine learning programming, and various data mining algorithms. The document also reviews related work applying educational data mining and discusses implementing various data mining methods and algorithms to conduct predictive analytics on student performance data.
Big data integration for transition from e-learning to smart learning framework eraser Juan José Calderón
Big data integration for transition from e-learning to smart learning framework . Dr. Prakash Kumar Udupi Mr. Puttaswamy Malali Mr. Herald Noronha Department of Computing Department of Computing Department of Computing Middle East College Middle East College Middle East College .
Information Communication Technology: Practices for AcademiaIJMER
The document discusses the role of information and communication technology (ICT) in academia. It outlines several challenges facing the current educational system, including issues with teaching, learning, assessment, and service delivery. The document then explores how ICT can help address these challenges through tools like cognitive tutors, simulation-based teaching, and online assessment systems. It concludes by recommending increased ICT integration, infrastructure development, training, and public-private partnerships to maximize the benefits of technology for education.
Effectiveness of Information Communication Technologies for Education SystemIOSR Journals
This document discusses the effectiveness of using information and communication technologies (ICT) for education. It begins by outlining how ICT has transformed business, governance, and education over the past 20 years. While ICT is beginning to have a presence in education, its impact has been lacking. The document then discusses how ICT, including e-learning and Web 2.0 tools, can enhance student-centered learning and collaboration. It proposes developing an end-to-end e-learning infrastructure by integrating technologies like the semantic web, grid computing, collaboration tools, and knowledge management. Overall, the document argues that ICT has great potential to improve access to education and support goals like achieving universal primary education.
Effectiveness of Information Communication Technologies for Education SystemIOSR Journals
This document discusses the effectiveness of using information and communication technologies (ICT) for education systems. It begins by outlining how ICT has changed business, governance, and education over the past 20 years. However, its impact on education has been lacking. The document then reviews the objectives and roles of ICT implementation in higher education, and how ICT can help achieve the Millennium Development Goals. It discusses perceptions of e-learning and proposes a semantic grid-based e-learning infrastructure that integrates technologies like the semantic web, grid computing, and knowledge management. Finally, it reviews examples of best practices in semantic grid e-learning systems.
This document discusses the effectiveness of using information and communication technologies (ICT) for education systems. It begins by outlining how ICT has changed business, governance, and education over the past 20 years. However, its impact on education has been lacking. The document then reviews how ICT moves education towards more student-centered learning models and discusses how technologies like Web 2.0 enable collaboration and knowledge sharing. It proposes a semantic grid-based e-learning infrastructure that integrates technologies like the semantic web, grid computing, collaboration tools, and knowledge management. Finally, it reviews examples of best practices in using ICT for education.
Academic Resources Architecture Framework Planning using ERP in Cloud ComputingIRJET Journal
This document discusses an academic resources architecture framework for planning and using enterprise resource planning (ERP) systems in cloud computing. The framework is designed to meet the needs of schools, colleges, and universities by automating administrative tasks and streamlining processes. The framework includes three main service models - software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). The framework aims to improve transparency, productivity, and control through automation, leading to higher overall efficiency for educational institutions. It also discusses using cloud-based e-learning and learning analytics to improve current e-learning systems that lack appropriate infrastructure and integrated applications.
This document discusses an e-learning mobile application developed by students to support online education. It begins with an abstract that introduces the app and discusses the importance of e-learning during the COVID-19 pandemic when many schools shifted to online models. The introduction provides definitions of key terms like e-learning. Following sections discuss the architecture and screenshots of the student app, advantages and disadvantages of e-learning, opportunities for future development in India's growing e-learning market, and conclusions about pedagogical challenges in developing countries. The document reviews related work and cites several papers on topics like cloud computing in education and the need for affordable tools to support diverse learners online.
An Efficient Methodology To Develop A Secured E-Learning System Using Cloud C...IJMERJOURNAL
ABSTRACT: Now-a-days, each and every action involved in our life becomes computerized in order to reduce the time, complexity and manual power. The education systems are also being computerized, to train the students in a much efficient way. This system is termed as E-Learning. E-Learning is an Internet-based learning process, in which the Internet technology is used to design, implement, manage and extend learning, which will improve the efficiency of learning. Learning, Teaching and Training are intensely connected components, which are all included in the development of E-Learning system. Cloud Computing provides an efficient platform to support the E-Learning systems, as it can be dramatically changes over time .In this paper, an overview on the new emerging E-Learning system , utilization of the SAAS (Software as a Service) and the methodology to test the efficiency of the person in a secured way are described.
A Comprehensive E-Learning Platform for Education: A Full-Stack Web Applicati...IRJET Journal
This document describes the development of a comprehensive e-learning platform for engineering education using EJS, MongoDB, Express.js, and Node.js. The platform aims to address limitations in traditional engineering education methods by providing personalized, flexible access to engaging learning content and activities. It was built with a React frontend, Node/Express backend, and MongoDB database. The platform offers features like interactive courses, personalized learning pathways, and analytics. It was deployed on AWS for scalability. Studies show e-learning improves outcomes in engineering education by enhancing engagement, satisfaction and performance compared to traditional methods.
ONLINE WEB APPLICATION FOR CREATING AND SHARING INTERACTIVE TEXTBOOKSIRJET Journal
This document describes an online web application for creating and sharing interactive textbooks. The application aims to make online learning more engaging by allowing teachers to embed images, videos, and other multimedia in digital textbooks. Teachers can author textbooks with interactive elements like quizzes. Students can then access these textbooks through the web application to learn at their own pace. The document outlines the need for this application, reviews related work in online education, and proposes a system design with separate interfaces for teachers to author content and students to access it. A prototype of the key features is presented, with screenshots of the teacher interface to create textbooks and quizzes and the student interface to view textbooks and take quizzes. The conclusion discusses how this approach could improve
An efficient educational data mining approach to support e-learningVenu Madhav
The e-learning is a recent development that has
emerged in the educational system due to the growth of the
information technology. The common challenges involved
in The e-learning platform include the collection and
annotation of the learning materials, organization of the
knowledge in a useful way, the retrieval and discovery of
the useful learning materials from the knowledge space in a
more significant way, and the delivery of the adaptive and
personalized learning materials. In order to handle these
challenges, the proposed system is developed using five
different steps of knowledge input such as the annotation of
the learning materials, creation of knowledge space,
indexing of learning materials using the multi-dimensional
knowledge and XML structure to generate a knowledge
grid and the retrieval of learning materials performed by
matching the user query with the indexed database and
ontology. The process is carried out in two modules such as
the server module and client module. The proposed
approach is evaluated using various parameters such as the
precision, recall and F-measure. Comprehensive results are
achieved by varying the keywords, number of documents
and the K-size. The proposed approach has yielded
excellent results by obtaining the higher evaluation metric,
together with an average precision of 0.81, average
Enriching E-Learning with web Services for the Creation of Virtual Learning P...IJERDJOURNAL
ABSTRACT:- The study aims at creation of virtual learning environment(VLE) using the context of web services .Now-a-days eLearning is gaining a wide spread acceptance since its inception. Much of the effort is placed on developing rich educational content & create global platform in which Information and Communication Technologies (ICTs) are used to transform education. Therefore education system need to be redesigned in a better way for which amalgamation of web services with eLearning is considered to solve the complex problems. The author tries to describe the web services architecture with the incorporation of eLearning that has defined a new way of learning. With the emergence of computer technology and urbane softwares, there is every possibility of enriching learning experience of students. Gamification, StoryBoard, Bring Your Own Device (BYOD), Localization are considered as supporting services for boosting up knowledge management process. Group Discussions, Twitter chats, Skype calls are performed in social learning. Web 2.0 services such as as blogs promote content creation, wikis make user enable of creating editable contents.
Investigating a theoretical framework for e-learning technology acceptance IJECEIAES
E-learning has gained recognition and fame in delivering and distributing educational resources, and the same has become possible with the occurrence of Internet and Web technologies. The research seeks to determine the factors that influence students' acceptance of E-learning and to find out the way these factors determine the students' intention to employ E-learning. A theoretical framework was developed based on the technology acceptance model (TAM). To obtain information from the 270 university students who utilized the E-learning system, a questionnaire was formulated. The results revealed that “social influence, perceived enjoyment, self-efficacy, perceived usefulness, and perceived ease of use” are the strongest and most important predictors in the intention of and students towards E-learning systems. The outcomes offer practical implications for practitioners, lawmakers, and developers in effective E-learning systems implementation to improve ongoing interests and activities of university students in a virtual E-learning atmosphere, valuable recommendations for E-learning practices are given by the research findings, and these may turn out to be as guidelines for the efficient design of E-learning systems.
E-learning, often known as "online learning," "virtual learning," "remote learning," and other similar terms, is an alternative to traditional classroom instruction. "Distance education," "digital learning," or "mobile learning." E-learning involves using several distinct technologies, including the web, open broadcast, loop, cable, microwave, broadband lines, fibre optics, satellite, wireless communications equipment, audio/video conferencing, and others, for one-way or two-way transmission. To improve educational knowledge, e-learning makes use of interactive technology and communication infrastructure. It has the ability to change how we typically teach and learn across the board. It will improve standards and increase long-term learning involvement. Although it cannot completely replace teachers and lecturers, it will improve the quality and scope of their instruction and reduce the time spent on administration. Each learner will be changed to reach his or her full potential, and it will make it easier to give an academic force the freedom to change. It makes a very ambitious educational system for an emerging learning society feasible. As demand grows, there is a need to standardise the E-learning system and to use new technologies to raise the standard of the current system. Despite the fact that many corporations and academic institutions have previously adopted various standards, there are still certain issues with these standards' benefits and drawbacks that must be addressed by incorporating new technical standards into the current norms to improve their usability and systematicity
Development of E-learning Software Based Multiplatform ComponentsjournalBEEI
E-learning software is a product of information and communication technology used to help dynamic and flexible learning process between teacher and student. The software technology was first used in the development of e-learning software in the form of web applications. The advantages of this technology because of the ease in the development, installation, and distribution of data. Along with advances in mobile/wireless electronics technology, e-learning software is adapted to this technology known as mobile learning. The ability of this electronic device is the same as a single computer even though it is simpler than a single computer. The problem that arises when e-learning software operates on multiple platforms is that computer programs are made repeatedly depending on the platform being used. This situation will obviously affect the quality of e-learning software. To overcome these problems, in this study developed component-based software that is a modern paradigm for software development that produces reusable software components, high quality, and cost-effective. In software development, software components will be assembled in the software in need. The result of this research is high quality e-learning software based multiplatform component.
This document discusses the potential benefits of implementing cloud computing technologies in libraries and e-libraries. It begins by providing background on cloud computing and how it can enable on-demand access to configurable computing resources. It then reviews related literature on cloud computing applications in educational and library settings. The document outlines some of the key advantages of cloud computing for libraries, such as improved efficiency, reduced expenses, enhanced collaboration, backup of information, and improved access and management of files. It also notes some potential disadvantages, such as issues relating to security, lack of control, and dependence on network performance. Overall, the document argues that cloud computing can be a useful tool for libraries to automate services and processes while reducing the need for on-site management
This document describes an e-classroom management system that aims to go beyond traditional blackboard and textbook approaches to improve the learning experience. The proposed system would provide a central website for connectivity between students and teachers. It would allow teachers to upload files like video lectures and notes, and students to access materials and submit assignments anytime on any device. The system would be developed as a web application using HTML, CSS, PHP, and a MySQL database. It intends to streamline file sharing and provide new features like video uploads and comment sections to enhance classroom management and blended learning. The system could help minimize documentation time for teachers and provide students with greater flexibility.
E-Learning: Challenges and Research Opportunities Using Machine Learning & Da...eraser Juan José Calderón
E-Learning: Challenges and Research Opportunities Using Machine Learning & Data Analytics
de ABDALLAH MOUBAYED 1 , MOHAMMADNOOR INJADAT1 , ALI BOU NASSIF2 , HANAN LUTFIYYA3 , AND ABDALLAH SHAMI1 1Electrical and Computer Engineering Department, Western University, London, ON N6A 3K7, Canada 2Electrical and Computer Engineering Department, University of Sharjah, Sharjah, United Arab Emirates 3Computer Science Department, Western University, London, ON N6A 3K7, Canada Corresponding author: Abdallah Moubayed (amoubaye@uwo.ca)
ABSTRACT
With the proliferation of technology, the field of e-learning has garnered significant attention in recent times. This is because it has allowed users from around the world to learn and access new information. This has added to the growing amount of collected data that is already being generated through different devices and sensors employed around the world. This has led to the need to analyze collected data and extract useful information from it. Machine learning (ML) and data analytics (DA) are proposed techniques that can help extract information and find valuable patterns within the collected data. In this paper, the field of e-learning is investigated in terms of definitions and characteristics. Moreover, the various challenges facing the different participants within this process are discussed. In addition, some of the works proposed in the literature to tackle these challenges are presented. Then, a brief survey about some of the most popular ML and DA techniques is given. Finally, some of the research opportunities available that employ such techniques are proposed to give insights into the areas that merit further exploration and investigation.
FUNCTIONAL SEMANTICS AWARE BROKER BASED ARCHITECTURE FOR E-LEARNING WEB SERVICESIJITE
E-learning enables the learner to gain diverse knowledge anytime, anywhere and on any device. Learning
resources (objects) and resource providers play a very important role in e-learning applications/systems.
The increasing demand for interoperability in existing heterogeneous e-learning systems to support
accessibility and reusability is the most challenging research issue. Web services and SOA enables
interoperability between heterogeneous applications over the Web. To adopt Web services technology
towards the reusability and aggregation of e-learning services, the conceptual Web services architecture
and its building blocks need to be augmented. In this paper, a well formed functional semantics approach
is proposed to describe e-learning Web services providing variety of learning objects/resources. The
paper presents an extendible functional knowledge to map the learner’s or provider’s versions of service
descriptions into a standard form called Abstract Description. The authors propose a broker based elearning Web service architecture which facilitates effective e-learning service publishing and discovery
mechanisms. The paper explores a scheme to extend the WSDL 2.0 document in order to incorporate
functional semantics of e-learning Web services and their operations. The paper presents an e-learning
service knowledge called Learning Operation Tree (LOT) for the quick e-learning service discovery. The
experimentation shows that, the proposed broker based architecture for e-learning Web services
facilitates effective discovery with moderate performance in terms of recall and response.
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
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This document discusses the effectiveness of using information and communication technologies (ICT) for education systems. It begins by outlining how ICT has changed business, governance, and education over the past 20 years. However, its impact on education has been lacking. The document then reviews how ICT moves education towards more student-centered learning models and discusses how technologies like Web 2.0 enable collaboration and knowledge sharing. It proposes a semantic grid-based e-learning infrastructure that integrates technologies like the semantic web, grid computing, collaboration tools, and knowledge management. Finally, it reviews examples of best practices in using ICT for education.
Academic Resources Architecture Framework Planning using ERP in Cloud ComputingIRJET Journal
This document discusses an academic resources architecture framework for planning and using enterprise resource planning (ERP) systems in cloud computing. The framework is designed to meet the needs of schools, colleges, and universities by automating administrative tasks and streamlining processes. The framework includes three main service models - software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). The framework aims to improve transparency, productivity, and control through automation, leading to higher overall efficiency for educational institutions. It also discusses using cloud-based e-learning and learning analytics to improve current e-learning systems that lack appropriate infrastructure and integrated applications.
This document discusses an e-learning mobile application developed by students to support online education. It begins with an abstract that introduces the app and discusses the importance of e-learning during the COVID-19 pandemic when many schools shifted to online models. The introduction provides definitions of key terms like e-learning. Following sections discuss the architecture and screenshots of the student app, advantages and disadvantages of e-learning, opportunities for future development in India's growing e-learning market, and conclusions about pedagogical challenges in developing countries. The document reviews related work and cites several papers on topics like cloud computing in education and the need for affordable tools to support diverse learners online.
An Efficient Methodology To Develop A Secured E-Learning System Using Cloud C...IJMERJOURNAL
ABSTRACT: Now-a-days, each and every action involved in our life becomes computerized in order to reduce the time, complexity and manual power. The education systems are also being computerized, to train the students in a much efficient way. This system is termed as E-Learning. E-Learning is an Internet-based learning process, in which the Internet technology is used to design, implement, manage and extend learning, which will improve the efficiency of learning. Learning, Teaching and Training are intensely connected components, which are all included in the development of E-Learning system. Cloud Computing provides an efficient platform to support the E-Learning systems, as it can be dramatically changes over time .In this paper, an overview on the new emerging E-Learning system , utilization of the SAAS (Software as a Service) and the methodology to test the efficiency of the person in a secured way are described.
A Comprehensive E-Learning Platform for Education: A Full-Stack Web Applicati...IRJET Journal
This document describes the development of a comprehensive e-learning platform for engineering education using EJS, MongoDB, Express.js, and Node.js. The platform aims to address limitations in traditional engineering education methods by providing personalized, flexible access to engaging learning content and activities. It was built with a React frontend, Node/Express backend, and MongoDB database. The platform offers features like interactive courses, personalized learning pathways, and analytics. It was deployed on AWS for scalability. Studies show e-learning improves outcomes in engineering education by enhancing engagement, satisfaction and performance compared to traditional methods.
ONLINE WEB APPLICATION FOR CREATING AND SHARING INTERACTIVE TEXTBOOKSIRJET Journal
This document describes an online web application for creating and sharing interactive textbooks. The application aims to make online learning more engaging by allowing teachers to embed images, videos, and other multimedia in digital textbooks. Teachers can author textbooks with interactive elements like quizzes. Students can then access these textbooks through the web application to learn at their own pace. The document outlines the need for this application, reviews related work in online education, and proposes a system design with separate interfaces for teachers to author content and students to access it. A prototype of the key features is presented, with screenshots of the teacher interface to create textbooks and quizzes and the student interface to view textbooks and take quizzes. The conclusion discusses how this approach could improve
An efficient educational data mining approach to support e-learningVenu Madhav
The e-learning is a recent development that has
emerged in the educational system due to the growth of the
information technology. The common challenges involved
in The e-learning platform include the collection and
annotation of the learning materials, organization of the
knowledge in a useful way, the retrieval and discovery of
the useful learning materials from the knowledge space in a
more significant way, and the delivery of the adaptive and
personalized learning materials. In order to handle these
challenges, the proposed system is developed using five
different steps of knowledge input such as the annotation of
the learning materials, creation of knowledge space,
indexing of learning materials using the multi-dimensional
knowledge and XML structure to generate a knowledge
grid and the retrieval of learning materials performed by
matching the user query with the indexed database and
ontology. The process is carried out in two modules such as
the server module and client module. The proposed
approach is evaluated using various parameters such as the
precision, recall and F-measure. Comprehensive results are
achieved by varying the keywords, number of documents
and the K-size. The proposed approach has yielded
excellent results by obtaining the higher evaluation metric,
together with an average precision of 0.81, average
Enriching E-Learning with web Services for the Creation of Virtual Learning P...IJERDJOURNAL
ABSTRACT:- The study aims at creation of virtual learning environment(VLE) using the context of web services .Now-a-days eLearning is gaining a wide spread acceptance since its inception. Much of the effort is placed on developing rich educational content & create global platform in which Information and Communication Technologies (ICTs) are used to transform education. Therefore education system need to be redesigned in a better way for which amalgamation of web services with eLearning is considered to solve the complex problems. The author tries to describe the web services architecture with the incorporation of eLearning that has defined a new way of learning. With the emergence of computer technology and urbane softwares, there is every possibility of enriching learning experience of students. Gamification, StoryBoard, Bring Your Own Device (BYOD), Localization are considered as supporting services for boosting up knowledge management process. Group Discussions, Twitter chats, Skype calls are performed in social learning. Web 2.0 services such as as blogs promote content creation, wikis make user enable of creating editable contents.
Investigating a theoretical framework for e-learning technology acceptance IJECEIAES
E-learning has gained recognition and fame in delivering and distributing educational resources, and the same has become possible with the occurrence of Internet and Web technologies. The research seeks to determine the factors that influence students' acceptance of E-learning and to find out the way these factors determine the students' intention to employ E-learning. A theoretical framework was developed based on the technology acceptance model (TAM). To obtain information from the 270 university students who utilized the E-learning system, a questionnaire was formulated. The results revealed that “social influence, perceived enjoyment, self-efficacy, perceived usefulness, and perceived ease of use” are the strongest and most important predictors in the intention of and students towards E-learning systems. The outcomes offer practical implications for practitioners, lawmakers, and developers in effective E-learning systems implementation to improve ongoing interests and activities of university students in a virtual E-learning atmosphere, valuable recommendations for E-learning practices are given by the research findings, and these may turn out to be as guidelines for the efficient design of E-learning systems.
E-learning, often known as "online learning," "virtual learning," "remote learning," and other similar terms, is an alternative to traditional classroom instruction. "Distance education," "digital learning," or "mobile learning." E-learning involves using several distinct technologies, including the web, open broadcast, loop, cable, microwave, broadband lines, fibre optics, satellite, wireless communications equipment, audio/video conferencing, and others, for one-way or two-way transmission. To improve educational knowledge, e-learning makes use of interactive technology and communication infrastructure. It has the ability to change how we typically teach and learn across the board. It will improve standards and increase long-term learning involvement. Although it cannot completely replace teachers and lecturers, it will improve the quality and scope of their instruction and reduce the time spent on administration. Each learner will be changed to reach his or her full potential, and it will make it easier to give an academic force the freedom to change. It makes a very ambitious educational system for an emerging learning society feasible. As demand grows, there is a need to standardise the E-learning system and to use new technologies to raise the standard of the current system. Despite the fact that many corporations and academic institutions have previously adopted various standards, there are still certain issues with these standards' benefits and drawbacks that must be addressed by incorporating new technical standards into the current norms to improve their usability and systematicity
Development of E-learning Software Based Multiplatform ComponentsjournalBEEI
E-learning software is a product of information and communication technology used to help dynamic and flexible learning process between teacher and student. The software technology was first used in the development of e-learning software in the form of web applications. The advantages of this technology because of the ease in the development, installation, and distribution of data. Along with advances in mobile/wireless electronics technology, e-learning software is adapted to this technology known as mobile learning. The ability of this electronic device is the same as a single computer even though it is simpler than a single computer. The problem that arises when e-learning software operates on multiple platforms is that computer programs are made repeatedly depending on the platform being used. This situation will obviously affect the quality of e-learning software. To overcome these problems, in this study developed component-based software that is a modern paradigm for software development that produces reusable software components, high quality, and cost-effective. In software development, software components will be assembled in the software in need. The result of this research is high quality e-learning software based multiplatform component.
This document discusses the potential benefits of implementing cloud computing technologies in libraries and e-libraries. It begins by providing background on cloud computing and how it can enable on-demand access to configurable computing resources. It then reviews related literature on cloud computing applications in educational and library settings. The document outlines some of the key advantages of cloud computing for libraries, such as improved efficiency, reduced expenses, enhanced collaboration, backup of information, and improved access and management of files. It also notes some potential disadvantages, such as issues relating to security, lack of control, and dependence on network performance. Overall, the document argues that cloud computing can be a useful tool for libraries to automate services and processes while reducing the need for on-site management
This document describes an e-classroom management system that aims to go beyond traditional blackboard and textbook approaches to improve the learning experience. The proposed system would provide a central website for connectivity between students and teachers. It would allow teachers to upload files like video lectures and notes, and students to access materials and submit assignments anytime on any device. The system would be developed as a web application using HTML, CSS, PHP, and a MySQL database. It intends to streamline file sharing and provide new features like video uploads and comment sections to enhance classroom management and blended learning. The system could help minimize documentation time for teachers and provide students with greater flexibility.
E-Learning: Challenges and Research Opportunities Using Machine Learning & Da...eraser Juan José Calderón
E-Learning: Challenges and Research Opportunities Using Machine Learning & Data Analytics
de ABDALLAH MOUBAYED 1 , MOHAMMADNOOR INJADAT1 , ALI BOU NASSIF2 , HANAN LUTFIYYA3 , AND ABDALLAH SHAMI1 1Electrical and Computer Engineering Department, Western University, London, ON N6A 3K7, Canada 2Electrical and Computer Engineering Department, University of Sharjah, Sharjah, United Arab Emirates 3Computer Science Department, Western University, London, ON N6A 3K7, Canada Corresponding author: Abdallah Moubayed (amoubaye@uwo.ca)
ABSTRACT
With the proliferation of technology, the field of e-learning has garnered significant attention in recent times. This is because it has allowed users from around the world to learn and access new information. This has added to the growing amount of collected data that is already being generated through different devices and sensors employed around the world. This has led to the need to analyze collected data and extract useful information from it. Machine learning (ML) and data analytics (DA) are proposed techniques that can help extract information and find valuable patterns within the collected data. In this paper, the field of e-learning is investigated in terms of definitions and characteristics. Moreover, the various challenges facing the different participants within this process are discussed. In addition, some of the works proposed in the literature to tackle these challenges are presented. Then, a brief survey about some of the most popular ML and DA techniques is given. Finally, some of the research opportunities available that employ such techniques are proposed to give insights into the areas that merit further exploration and investigation.
FUNCTIONAL SEMANTICS AWARE BROKER BASED ARCHITECTURE FOR E-LEARNING WEB SERVICESIJITE
E-learning enables the learner to gain diverse knowledge anytime, anywhere and on any device. Learning
resources (objects) and resource providers play a very important role in e-learning applications/systems.
The increasing demand for interoperability in existing heterogeneous e-learning systems to support
accessibility and reusability is the most challenging research issue. Web services and SOA enables
interoperability between heterogeneous applications over the Web. To adopt Web services technology
towards the reusability and aggregation of e-learning services, the conceptual Web services architecture
and its building blocks need to be augmented. In this paper, a well formed functional semantics approach
is proposed to describe e-learning Web services providing variety of learning objects/resources. The
paper presents an extendible functional knowledge to map the learner’s or provider’s versions of service
descriptions into a standard form called Abstract Description. The authors propose a broker based elearning Web service architecture which facilitates effective e-learning service publishing and discovery
mechanisms. The paper explores a scheme to extend the WSDL 2.0 document in order to incorporate
functional semantics of e-learning Web services and their operations. The paper presents an e-learning
service knowledge called Learning Operation Tree (LOT) for the quick e-learning service discovery. The
experimentation shows that, the proposed broker based architecture for e-learning Web services
facilitates effective discovery with moderate performance in terms of recall and response.
Similar to Deep Learning: The Impact on Future eLearning (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
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.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
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
Low power architecture of logic gates using adiabatic techniquesnooriasukmaningtyas
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
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.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.