Volume 6 Issue 1 by Palanivel Kuppusamy
INTERNATIONAL JOURNAL OF ADVANCE SCIENTIFIC RESEARCH AND ENGINEERING TRENDS, 2020
Smart education has become an essential need for everyone with its conveniences and quick-to-adop... more Smart education has become an essential need for everyone with its conveniences and quick-to-adopt modes. It has gathered the attention of people by interlinking various fields and disciplines of knowledge through communication for educational purposes. A lot of research involves the area of Smart Education. However, the challenges are the increase in the complexity and more interoperability between systems in the distributed environment. The lacking is reference architecture in which by reusing various technology services. It is proposed to design smart education architecture with emerging technologies services such as big data, blockchain, cloud computing, artificial intelligence, machine learning, smart computing, etc. The objective of this paper to design a service-oriented reference architecture to smart education. This research paper reviewed the existing emerging technologies applied in smart education architecture that serves as the domain. This article proposes a new architecture called service-oriented reference architecture to a smart education system. The proposed architecture is a highly scalable solution for smart education concerning applications, platforms and infrastructure.
International Journal of Latest Technology in Engineering, Management & Applied Science, 2019
The blockchain is an emerging technology that serves as an immutable ledger, which allows transac... more The blockchain is an emerging technology that serves as an immutable ledger, which allows transactions to take place in a decentralized manner. It has become a publicly available infrastructure for building decentralized applications and achieving interoperability. Blockchain-based applications ensure transparency and trust between all parties involved in the interaction. The blockchain also makes blockchain technology-based services interest to the education sector. Nowadays, educational organizations focus on online education and propose to create a system based on educational smart contracts in a public ledger. This public ledger will be shared between major offline educational institutes around the world. From a software architecture perspective, blockchain enables new forms of distributed software architectures across a large network of untrusted participants. The objective of this article is to apply blockchain technology in learning solutions and to propose a blockchain architecture to e-Learning solutions in Higher Education Systems. The proposed architecture exploits the benefits of the blockchain and offering security, anonymity, longevity, integrity, transparency, immutability and global ecosystem simplification, in order to create a globally trusted higher education credit system.
The recent advancements in technology have produced big data and become the necessity for researc... more The recent advancements in technology have produced big data and become the necessity for researcher to analyze the data in order to
make it meaningful. Massive amounts of data are collected across social media sites, mobile communications, business environments and
institutions. In order to efficiently analyze this large quantity of raw data, the concept of big data was introduced. In this regard, big data analytic
is needed in order to provide techniques to analyze the data. This new concept is expected to help education in the near future, by changing the
way we approach the e-Learning process, by encouraging the interaction between learners and teachers, by allowing the fulfilment of the
individual requirements and goals of learners. The learning environment generates massive knowledge by means of the various services
provided in massive open online courses. Such knowledge is produced via learning actor interactions. Also, data analytics can be a valuable tool
to help e-Learning organizations deliver better services to the public. It can provide important insights into consumer behavior and better predict
demand for goods and services, thereby allowing for better resource management. This result motivates to put forward solutions for big data
usage to the educational field. This research article unfolds a big data reference architecture for e-Learning analytical systems to make a unified
analysis of the massive data generated by learning actors. This reference architecture makes the process of the massive data produced in big data
e-learning system. Finally, the BiDRA for e-Learning analytical systems was evaluated based on the quality of maintainability, modularity,
reusability, performance, and scalability.
Papers by Palanivel Kuppusamy
Smart Home Automation using Sensors and Internet of Things
Asian Journal of Research in Social Sciences and Humanities, 2016
The technology development is paving way for the automation to be made to the existing machines l... more The technology development is paving way for the automation to be made to the existing machines leading to the new technology called Internet of Things. Things get connected with each other over Internet that reduces human workload. The home is built with electrical devices for comfortable living style. But, the devices are operated manually in the home. The devices are in running state even users left the home with unaware of the electrical devices status. Hence, users should come back to the home to stop the devices. It leads to wastage of human energy, electrical energy and devices life time. This paper is proposed to implement the smart home automation that controls the devices such as fan, lamp and motor from remote location over the network. The experiments have been conducted to implement the automation using Arduino Uno controller that interfaces Ethernet shield and operates the devices using web, android applications through smart phone, laptop. This research work is proposed to reduce human workload and reduce the electricity consumption.
Machine Learning-Enabled Internet of Things Solution for Smart Agriculture Operations
Advances in systems analysis, software engineering, and high performance computing book series, Jun 30, 2023
A Multicloud-Based Deep Learning Model for Smart Agricultural Applications
Advances in computational intelligence and robotics book series, Jun 16, 2023
Computing Technology Research Journal
Integrating deep learning with learning management systems can result in intelligent course mater... more Integrating deep learning with learning management systems can result in intelligent course material and high accuracy without any manual intervention. This paper reviews factors that influence deep learning in education, and hence this article aims to achieve deep learning on a large scale in the smart education system with a deep learning model to predict. The proposed model can reduce development and maintenance costs, reduce risks, and facilitate communication between stakeholders.
Unified Cybersecurity Data Analytical Model for Smart Learning Operations
Advances in educational technologies and instructional design book series, Feb 17, 2023
Advances in Data Mining and Database Management, 2019
Smart education is now a typical feature in education emerging from information communications te... more Smart education is now a typical feature in education emerging from information communications technologies (ICT) and the constant introduction of new technologies into institutional learning. The smart classroom aims users to develop skills, adapt, and use technologies in a learning context that produces elevated learning outcomes which leads to big data. The internet of things (IoT) is a new technology in which objects equipped with sensors, actuators, and processors communicate with each other to serve a meaningful purpose. The technologies are rapidly changing, and designing for these situations can be complex. Designing the IoT applications is a challenging issue. The existing standardization activities are often redundant IoT development. The reference architecture provides a solution to smart education for redundant design activities. The purpose of this chapter is to look at the requirements and architectures required for smart education. It is proposed to design a scalable ...
Optimisation d'étude de marché basée sur le comportement de répondants mobiles
Des systemes et un procede pour effectuer une etude de marche sur des repondants a l'aide de ... more Des systemes et un procede pour effectuer une etude de marche sur des repondants a l'aide de dispositifs mobiles. Les donnees relatives au comportement des repondants mobiles sont exploitees pour la mise en oeuvre d'applications d'etude de marche plus efficaces telles que des enquetes. L'utilisation d'un comportement d'un repondant mobile permet a une entreprise d'etude de marche de mettre en oeuvre une etude de marche liee specifiquement a ce comportement. Les applications d'etude de marche peuvent etre transmises a un repondant mobile a l'aide de differents mecanismes tels que des messages push, des messages textes, des messages SRS, des courriels, etc. De plus, les repondants mobiles peuvent telecharger et installer une application qui leur permet d'acceder rapidement aux application d'etude de marche et de transmettre les donnees d'etude de marche.
IGI Global, 2020
Blockchain is an emerging technology that serves as an immutable ledger and publicly available in... more Blockchain is an emerging technology that serves as an immutable ledger and publicly available infrastructure for building decentralized applications. Blockchain-based applications ensure transparency and trust between all parties involved in the interaction. Nowadays, educational organizations focus on online education and propose to create a system based on educational smart contracts in a public ledger. This public ledger shall be shared between major online and offline educational institutes around the world. From a software architecture perspective, blockchain enables new forms of distributed software architectures across a large network of untrusted participants. The objective of this chapter is to propose a blockchain architecture stack to smart education. The proposed architecture exploits the benefits of the blockchain and global ecosystem simplification to create a globally trusted higher education credit system.
In this paper three tier perspectives of the educational data warehousing has been proposed to ab... more In this paper three tier perspectives of the educational data warehousing has been proposed to abstract ontologies from structural metadata of relational databases which are the resultant of ETL processing as well as generating reports from the data refined from the ETL Processing .With the help of ontologies it is able to find the connotative semantic association, then intellect these relations to get exact ETL rules which can be used to direct the ETL processes and assist the performing of DWH project and generating the reports to facilitate the administrative nontechnical persons to make decisions and forecast the future of the academic organization accordingly.
Designing an Architecture for Personalized E-learning System using Web Service and Semantic Web Technology
Networking and Communication Engineering, 2010
Nowadays, E-learning has become the major trend of the development of education. E-learning syste... more Nowadays, E-learning has become the major trend of the development of education. E-learning system with personalization leads efficient learning results among different learners and their needs actively. However, the problem in the existing e-learning systems is weak semantic learning resources. Hence, it is proposed to design a personalized e-learning system with web services and semantic web technology. Web services ease the pain of managing different e-learning applications and make them to play together, hence, achieve higher level of interoperability. The semantic web provides distributed information with well-defined meaning, understandable for different learners. The proposed system consists of four types of web services – annotation, notification, personalization, authentication, etc. Using this system, the learners should be able to provide individually optimized access to content by taking the individual needs. Designing e-learning system using semantic web and web service...
Personalized E-learning System can automatically adapt to the interests and levels of learners. T... more Personalized E-learning System can automatically adapt to the interests and levels of learners. The Personalized Elearning System is generally designed to achieve high scalability and reusability. The existing technologies like Client/Server and Peer-to-Peer (P2P) are platform specific and are not interoperable. From a technology perspective too, it becomes necessary to have a scalable architecture that allows for reuse of business processes implemented in the existing solutions. A normal simple client-server and P2P architecture failed to support an arbitrary number of learners/users with a personalized learning environment and accessing and managing vast amount of learning objects. So, it requires a large-scale e-learning system to handle a potentially large number of concurrent, geographically distributed users/resources and support large database of e-learning materials. Hence, it is proposed to use service-oriented approach in personalized E-learning system. The objective of th...
Emerging Technologies to Smart Education
International Journal of Computer Trends and Technology, 2020
Digital transformation is all set to change the face of education towards the coming decade. Alon... more Digital transformation is all set to change the face of education towards the coming decade. Along with technology, the transformation is bound to be a parallel shift across learning. Today, technology like the Internet of Things, augmented reality, artificial intelligence, blockchain, cloud technology, mobile internet, machine learning, deep learning, etc. have the potential to add significant business value. These technologies play a major role to shift from traditional education to smart education. Smart education is one of the main segments with the biggest impact in the smart environment. The objective of this research is to study the emerging technologies that are used to design smart education system. With these emerging technologies, education is becoming an intelligent, institutive and ubiquitous. The emerging technologies increase the effectiveness and enhancing the efficiency of smart education.
Emerging Technologies and Applications in Data Processing and Management, 2019
Electronic learning or e-learning is the use of technology to enable learners to learn from anywh... more Electronic learning or e-learning is the use of technology to enable learners to learn from anywhere and anytime. The delivery involves the use of electronic devices in some way to make available learning contents. Today, e-learning has drastically changed the educational environment. The e-learning methodology is a good example of green computing. Green computing refers to the study and practice of using computing resources in an eco-friendly manner. It is the practice of using computing resources in an energy efficient and environmentally friendly manner. In order to reduce costs, education services can be provided using cloud technology. The green cloud computing solutions save energy, reduce operational costs, and reduce carbon footprints on the environment. Hence, the objective is to provide a green cloud architecture to e-learning solutions. This architecture is addressing the issues such as improving resource use and reducing power consumption.
Machine Learning Architecture to Financial Service Organizations
International Journal of Computer Sciences and Engineering, 2019
Financial Services is a heavily regulated industry and organizational complexity that is driven b... more Financial Services is a heavily regulated industry and organizational complexity that is driven by business segments, product lines, customer segments, a multitude of channels and transaction volumes. The role of data onto the financial services institutes has grown exponentially in recent years and is advancing rapidly. Traditional data solutions were built based on the demands of earlier days using technologies available at that point in time. However, the ever-growing amount of data and the insights that can now be extracted from it have rendered these solutions obsolete. A modern technology and advanced analytical solutions can only handle current demands and achieve business goals. Todays, Machine Learning (ML) gains traction in digital businesses and embraces it as a tool for creating operational efficiencies. The ML algorithm can analyze thousands of data sources simultaneously, something that human traders cannot possibly achieve. They help human traders squeeze a slim advantage over the market average. In addition, it has given the vast volumes of trading operations that small advantage often translate into significant profits. Robust architecture designs is one of the common traits of a successful enterprise financial ecosystem. This article discusses the use cases, benefits and pitfalls and the requirements of ML architecture to financial services institutes. This proposed ML architecture provides a fully functional technical picture for developing a cohesive business solution.
Optimizing Mobile User Data Storage
Optimizing Market Research Based on Mobile Respondent Behavior
Utilizing Heat Maps to Represent Respondent Sentiments
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Volume 6 Issue 1 by Palanivel Kuppusamy
make it meaningful. Massive amounts of data are collected across social media sites, mobile communications, business environments and
institutions. In order to efficiently analyze this large quantity of raw data, the concept of big data was introduced. In this regard, big data analytic
is needed in order to provide techniques to analyze the data. This new concept is expected to help education in the near future, by changing the
way we approach the e-Learning process, by encouraging the interaction between learners and teachers, by allowing the fulfilment of the
individual requirements and goals of learners. The learning environment generates massive knowledge by means of the various services
provided in massive open online courses. Such knowledge is produced via learning actor interactions. Also, data analytics can be a valuable tool
to help e-Learning organizations deliver better services to the public. It can provide important insights into consumer behavior and better predict
demand for goods and services, thereby allowing for better resource management. This result motivates to put forward solutions for big data
usage to the educational field. This research article unfolds a big data reference architecture for e-Learning analytical systems to make a unified
analysis of the massive data generated by learning actors. This reference architecture makes the process of the massive data produced in big data
e-learning system. Finally, the BiDRA for e-Learning analytical systems was evaluated based on the quality of maintainability, modularity,
reusability, performance, and scalability.
Papers by Palanivel Kuppusamy