Journal of Analysis and Computations, May 31, 2023
Software fault prediction is a critical task in software engineering that aims to identify and pr... more Software fault prediction is a critical task in software engineering that aims to identify and prevent faults in software code before they occur. Machine learning algorithms have been shown to be effective in this area, providing accurate and timely predictions of software faults. In this research paper, we examine the effectiveness of different machine learning algorithms for software fault prediction using publicly available datasets. We compare the performance of four popular machine learning algorithms, namely support vector machines (SVM), random forests (RF), k-nearest neighbors (KNN), and Naïve Bayes (NB), using various metrics such as accuracy, precision, recall, and F1-score. We also perform feature selection to identify the most relevant features for each algorithm. In conclusion, our research highlights the effectiveness of machine learning algorithms for software fault prediction and provides insights into the most suitable algorithm for specific datasets. By leveraging the power of machine learning algorithms, software developers can effectively predict and prevent software faults. These findings provide a reference point that can be used to evaluate the effectiveness and advancements of any novel approaches in software defect prediction.
International Journal on Recent and Innovation Trends in Computing and Communication
The software systems of modern computers are extremely complex and versatile. Therefore, it is es... more The software systems of modern computers are extremely complex and versatile. Therefore, it is essential to regularly detect and correct software design faults. In order to devote resources effectively towards the creation of trustworthy software, software companies are increasingly engaging in the practise of predicting fault-prone modules in advance of testing. These software fault prediction methods rely on the thoroughness with which prior software versions' fault as well as related code has been retrievedTime, energy, and money are all saved as a result. Increases the company's initial success and bottom line greatly by satisfying its clientele. Numerous academics have poured into this area throughout the years in an effort to raise the bar for all software. Nowadays, The most often used approaches in this field are those based on machine learning (ML). The field of ML seeks to perfect software capable of evolving as well as adapting in response to fresh data. This pape...
International Journal on Recent and Innovation Trends in Computing and Communication
Effort estimation practice in Agile is a critical component of the methodology to help cross-func... more Effort estimation practice in Agile is a critical component of the methodology to help cross-functional teams to plan and prioritize their work. Agile approaches have emerged in recent years as a more adaptable means of creating software projects because they consistently produce a workable end product that is developed progressively, preventing projects from failing entirely. Agile software development enables teams to collaborate directly with clients and swiftly adjust to changing requirements. This produces a result that is distinct, gradual, and targeted. It has been noted that the present Scrum estimate approach heavily relies on historical data from previous projects and expert opinion, while existing agile estimation methods like analogy and planning poker become unpredictable in the absence of historical data and experts. User Stories are used to estimate effort in the Agile approach, which has been adopted by 60–70% of the software businesses. This study's goal is to r...
International Journal on Recent and Innovation Trends in Computing and Communication, May 17, 2023
Trend of using the software in daily life is increasing day by day. Software system development i... more Trend of using the software in daily life is increasing day by day. Software system development is growing more difficult as these technologies are integrated into daily life. Therefore, creating highly effective software is a significant difficulty. The quality of any software system continues to be the most important element among all the required characteristics. Nearly one-third of the total cost of software development goes toward testing. Therefore, it is always advantageous to find a software bug early in the software development process because if it is not found early, it will drive up the cost of the software development. This type of issue is intended to be resolved via software fault prediction. There is always a need for a better and enhanced prediction model in order to forecast the fault before the real testing and so reduce the flaws in the time and expense of software projects. The various machine learning techniques for classifying software bugs are discussed in this paper.
Information is very important and required in almost all areas and fields. It is close to some of... more Information is very important and required in almost all areas and fields. It is close to some of the areas viz. Data, Content and Knowledge. The system is also another concept that deals with the group of interrelated and connected entities, objects, tools, or facets. In other words, combinations of some subsystems are called Systems. Therefore, Systems in respect of the Information is called Information Systems. Information Systems is the way, tools, connected entities that are dedicated or responsible for the information related activities ranging from the collection, selection, organization, processing, management and dissemination. There are different contexts regarding Information Systems, in some contexts, it is also the electronic systems dedicated to information management and delivery to the organizations, institutions. In some contexts, it is the Computational way to preserve and deliver content and information. Information Systems in another context are the apex controlling mechanism of some of the divisional information systems such as Executive Information Systems, Decision Support Systems, etc. which helps in Information related activities to the organizations. Even Information System is also considered as a branch or field of study internationally. This paper is a theoretical one and mentioned the aspects of systems including their foundations, applications of systems, information systems including their foundation, types, nature, and emerging characteristics. The paper also highlights the academic availability and potentiality of Information Systems.
Journal of Analysis and Computations, May 31, 2023
Effort estimation is a crucial component of software development that aids in re-source allocatio... more Effort estimation is a crucial component of software development that aids in re-source allocation and planning for project managers. While faulty estimation can lead to cost overruns and project failure, an accurate estimation can stop project delays and overruns. Increasingly used in recent years for software development effort estimation, ensemble approaches combine numerous models to increase pre-diction accuracy and stability. This study investigates various ensemble learning approaches and assesses how well they work on a dataset of actual software projects. The findings demonstrate that ensembles perform better than single models and can estimate effort with high accuracy. This work also offers insights into the parameters, such as the diversity of models and the quality of input information, that influence the performance of ensemble approaches. The results indicate that ensemble approaches, which can be implemented using a variety of techniques like bagging, boosting, and stacking, can be a feasible strategy for enhancing software development effort estimation. However, the success of these methods depends on the careful selection of models and characteristics.
Agricultural Informatics is one of the important emerging domains gaining popularity in recent ye... more Agricultural Informatics is one of the important emerging domains gaining popularity in recent years. This is simply the application of Information Technology and Computing in Agriculture and allied activities. This is also the combination of ‘Agricultural Science’ and ‘Informatics or Information Science’. This emerging as an interdisciplinary subject and provides solutions for the smarter agriculture and advancement of the agricultural sectors. It is connected with various kinds of information and technological tools. In the recent past, various IT components have emerged and all these are responsible for the agricultural activities leading to cultivation; its enhancement, productivity, quality, cleanliness, efficiency, post agricultural activities. The Agricultural Informatics is responsible for the design, development, management and implementation of the advanced and intelligent agricultural systems, that may call as ‘Smart Agriculture’ or it may be called as ‘Digital Agricultur...
Agriculture is important for everyone due to its importance in our daily lives. Cultivation is va... more Agriculture is important for everyone due to its importance in our daily lives. Cultivation is valuable for all of us and required in the building of healthy agricultural systems development and in this context different technologies and also emerging Agricultural Informatics plays a leading role. In respect of developing modern agricultural systems,various methods are useful and enhancing. Apart from the core technologies various supporting technologies, also beneficial in modernizing agricultural production and systems practice. Among the technologies few important are genetic engineering, computing technology, nanoscience, Management Science, and so on. Information Technology and Agricultural Sciences result in the development of Agricultural Informatics with its various components. Recently various other components have developed viz. Data Analytics, AI & Robotics, Cloud Computing & Virtualization, Internet of Things, etc. And within these technologies, Big Data and Analytics is emerging and enhancing more on Agricultural Informatics since it holds the solution for managing data effectively with a large amount and also the complex data. The applications of Data Science, Big Data, or Analytics in different subjects have resulted in various new nomenclature and among these Agricultural Data Science is an important one. This paper deals with the Agricultural Informatics including features, applications emphasizing Big Data and Analytics. The paper discussed about Agricultural Data Science, i.e. possibilities of Big Data and Analytics in Agricultural with educational programs available and future potentials. The paper also states the challenges, issues, etc. in this regard.
International Journal of Advanced Research in Computer Science, 2011
Nowadays, Knowledge became superpower for organizational growth and software is the tools which c... more Nowadays, Knowledge became superpower for organizational growth and software is the tools which can manage knowledge with efficient manner; if application framework is appropriate made by the software engineering practices. Many knowledge management frameworks and tools are available in the form of software but still need a theoretical framework for organizational knowledge by the knowledge communities. In this global business economy era each and every activity to be recorded for future reference and this reference leads better decision for organizational growth. In this paper we are doing exploratory study for the organizational knowledge management and software engineering. The basic reason of this study is to find out the appropriate way to make a theoretical framework for Knowledge management prop up for software engineering
Environmental Informatics is an important interdisciplinary practicing field and rising in the re... more Environmental Informatics is an important interdisciplinary practicing field and rising in the recent past. It is the combination of Environmental Science and Information Science; and more clearly it is the applications of Information Technology in different aspects of Environment, Nature and Ecology. Information Technology applications are raising in different areas and environments and nature is no exception. There are numerous reasons in which Information Science or Informatics can be applied. And thus, indirectly in it applicable in other different areas viz. Geology, Geography, Climatology, Oceanography,Agriculture, Forestry, etc. are also important stakeholders of Environmental Informatics. There are various places in which IT, Computing and similar technologies can be applied or task can be better, smoother and effective than the traditional systems. Apart from the traditional Computing and IT components many latest can get the benefits of Environmental Informatics. There are...
Software engineering is the process of design; develop Implement and Maintenance a particular tas... more Software engineering is the process of design; develop Implement and Maintenance a particular task with certain goal by the help of logical activity perform by the knowledge communities. Especially, In Knowledge Organization around 80 Percent Problem is recognized by the Knowledge communities i.e. related to the people. Much work is recognized in the field of knowledge management support for Software Organization but knowledge manager are still facing Problem Related to organizational Knowledge management. While, we are crossing the dynamic and multi facet environment where work to be performing 24*7*365n in manner. So, we need an environment which acts as a multi agent for knowledge management communities. In this work we are proposing a Model for Software Companies who are seeking for optimum Knowledge management practices (OKMP) at the organization. In order to get this objective we have splitting the work into five phases; Which begins from Identification of the various Problems related to software Engineering or Software engineering Practices (SEP)? To overcome these problems we are bringing knowledge management and it's Various Practices including the consequences of such Practices? Then after we are keeping Multi Agent System in Knowledge Management and then we are putting MAS and KM as a whole in Software Engineering. Finally, we are looking for the result of such merger which would further term as SE-MABKM (Support for Software Engineering via Multi agent based Knowledge Management).
Nanoparticles of Co-Cu mixed ferrite having the basic composition Co1-xCuxFe2O4(x=0, 0.2, 0.4, 0.... more Nanoparticles of Co-Cu mixed ferrite having the basic composition Co1-xCuxFe2O4(x=0, 0.2, 0.4, 0.6, 0.8 and 1.0) were synthesized using nitrate-citrate combustion method. Structural, dielectric and a.c conductivity of nanopowders, which are sintered at 900°C were studied. Powder X-ray diffraction studies confirmed phase and their nanocrystalline nature. The peaks observed in the XRD spectrum indicated single phase spinel cubic structure for the synthesized samples. Surface morphology of the samples has been investigated using High ResolutionScanning Electron Microscope. The dielectric constant (e′) and dielectric loss factor (e″) of nanocrystalline Co-Cu mixed ferrites were investigated as a function of frequency and Cu+2 concentration at room temperature over the frequency range 100 Hz to 1 MHz using Hioki make LCR Hi-Tester 3250. Synthesized mixed ferrites exhibited usual dielectric dispersion, dependence of e′ and e″ with the frequency of the alternating applied electric field is in accordance with the...
Executive Director, MCIS, Department of CIS, Information Scientist (Offg.), Raiganj University, I... more Executive Director, MCIS, Department of CIS, Information Scientist (Offg.), Raiganj University, India. Vice Chancellor, Raiganj University, West Bengal, India. Pro Vice Chancellor (Asian Region), Commonwealth Vocational University, Kingdom of Tonga. Dean (Science & Management), Raiganj University, West Bengal, India. Head (Asian Region), Ballsbridge University, Commonwealth of Dominica. Principal, Rohini College of Engineering and Technology (RCET), Kanyakumari, TN, India.
Human Computer Interaction is actually responsible for the designing of the computing technologie... more Human Computer Interaction is actually responsible for the designing of the computing technologies keeping in mind the aspects of Interaction. Some of the fields viz. Man-Machine Interaction (MMI), User Experience Designing, User Experience Design, Human Centered Designing etc and importantly all these systems and technologies are dedicated to the designing of interface of various tools and systems such as computers, laptops, electronic systems, smart phones etc. Information Technology field is growing rapidly and there are various technologies are increasing viz. Big Data Management, Cloud Computing, Green Computing, Data Science, Internet of Things (IoT), HCI, Usability Engineering etc. Usability Engineering is gaining as a field of study as well and dedicated in creation of the higher usability and user friendliness of the electronic tools and products. In this field few aspects and technologies are most important and emerging viz. Human cognition, behavioral Research Methods, Qu...
Zinc doped cobalt ferrite nanoparticles having the basic composition Co1-xZnxFe 2 O 4 (x=0, 0.1, ... more Zinc doped cobalt ferrite nanoparticles having the basic composition Co1-xZnxFe 2 O 4 (x=0, 0.1, 0.2, 0.3, 0.4, 0.5) were prepared using auto combustion method. The structural, dielectric and a.c conductivity of these samples, which are sintered at 900 0 C were studied. XRD patterns were recorded using X-ray diffractometer. XRD patterns confirm the nanocrystalline nature for the sintered samples. The peaks observed in the XRD spectrum indicated single phase spinel cubic structure for the samples. Surface morphology of the samples has been investigated using Field Emission Scanning Electron Microscope (FESEM). The dielectric constant (ε') and dielectric loss tangent (tan δ) of nanocrystalline cobalt ferrites were investigated as a function of frequency and Zn +2 concentration at room temperature over the frequency range 100 Hz to 1 MHz using Hioki make LCR Hi-Tester 3250. The dependence of ε' and tan δ with the frequency of the alternating applied electric field is in accordance with the Maxwell-Wagner type interfacial polarization. The electrical conductivity (σac) deduced from the measured dielectric data has been thoroughly analyzed and found that the conduction mechanism in the present Co1-xZnxFe 2 O 4 nanoferrites are in conformity with the electron hopping model.
We always strive to get better algorithms for securing data. A variety of such algorithms are bei... more We always strive to get better algorithms for securing data. A variety of such algorithms are being used in cryptography. Manly block and stream ciphers are available and one of them is International Data Encryption Algorithm (IDEA), which was regarded arguably as one of the best for encryption purposes. A considerable time has elapsed since its advent and this period has witnessed a wide development in process approaches and applications. The number of transactions and exchanges of data has increased exponentially. Consequently, better and novel attacks on data evolved. Researchers believe that the security of the algorithm needs to be improved keeping a check on the time and space complexity. Within this research work we are looking for a robust algorithm known as NDEA which can be applied for securing modern environment applications.
Robotics is a machine which is supported by the Artificial Intelligence and Expert Systems. This ... more Robotics is a machine which is supported by the Artificial Intelligence and Expert Systems. This is basically run with the programmable computer which is run and does the performance and activities automatically. The robotics systems can be done with the integrated systems built inside or it may be done by the external controlling mechanism. It is not mandatory that a robot always looks like a human being. It could be of any form and designing or shape, however, the things in robotics is that it is operated automatically. Robots are applicable in diverse areas and sectors and among these important are include healthcare, business, agriculture, transportation, manufacturing etc. As far as agriculture is concerned, Robotics is very much associated with the various pre and postproduction of agriculture and similar sectors. Initially in harvesting only the robotics were used but currently, there are more concerns where robotics can be applicable viz. drone for the weed controlling, plan...
Scholedge International Journal of Management & Development ISSN 2394-3378, 2021
Information is very important and required in almost all areas and fields. It is close to some of... more Information is very important and required in almost all areas and fields. It is close to some of the areas viz. Data, Content and Knowledge. The system is also another concept that deals with the group of interrelated and connected entities, objects, tools, or facets. In other words, combinations of some subsystems are called Systems. Therefore, Systems in respect of the Information is called Information Systems. Information Systems is the way, tools, connected entities that are dedicated or responsible for the information related activities ranging from the collection, selection, organization, processing, management and dissemination. There are different contexts regarding Information Systems, in some contexts, it is also the electronic systems dedicated to information management and delivery to the organizations, institutions. In some contexts, it is the Computational way to preserve and deliver content and information. Information Systems in another context are the apex controll...
Journal of Analysis and Computations, May 31, 2023
Software fault prediction is a critical task in software engineering that aims to identify and pr... more Software fault prediction is a critical task in software engineering that aims to identify and prevent faults in software code before they occur. Machine learning algorithms have been shown to be effective in this area, providing accurate and timely predictions of software faults. In this research paper, we examine the effectiveness of different machine learning algorithms for software fault prediction using publicly available datasets. We compare the performance of four popular machine learning algorithms, namely support vector machines (SVM), random forests (RF), k-nearest neighbors (KNN), and Naïve Bayes (NB), using various metrics such as accuracy, precision, recall, and F1-score. We also perform feature selection to identify the most relevant features for each algorithm. In conclusion, our research highlights the effectiveness of machine learning algorithms for software fault prediction and provides insights into the most suitable algorithm for specific datasets. By leveraging the power of machine learning algorithms, software developers can effectively predict and prevent software faults. These findings provide a reference point that can be used to evaluate the effectiveness and advancements of any novel approaches in software defect prediction.
International Journal on Recent and Innovation Trends in Computing and Communication
The software systems of modern computers are extremely complex and versatile. Therefore, it is es... more The software systems of modern computers are extremely complex and versatile. Therefore, it is essential to regularly detect and correct software design faults. In order to devote resources effectively towards the creation of trustworthy software, software companies are increasingly engaging in the practise of predicting fault-prone modules in advance of testing. These software fault prediction methods rely on the thoroughness with which prior software versions' fault as well as related code has been retrievedTime, energy, and money are all saved as a result. Increases the company's initial success and bottom line greatly by satisfying its clientele. Numerous academics have poured into this area throughout the years in an effort to raise the bar for all software. Nowadays, The most often used approaches in this field are those based on machine learning (ML). The field of ML seeks to perfect software capable of evolving as well as adapting in response to fresh data. This pape...
International Journal on Recent and Innovation Trends in Computing and Communication
Effort estimation practice in Agile is a critical component of the methodology to help cross-func... more Effort estimation practice in Agile is a critical component of the methodology to help cross-functional teams to plan and prioritize their work. Agile approaches have emerged in recent years as a more adaptable means of creating software projects because they consistently produce a workable end product that is developed progressively, preventing projects from failing entirely. Agile software development enables teams to collaborate directly with clients and swiftly adjust to changing requirements. This produces a result that is distinct, gradual, and targeted. It has been noted that the present Scrum estimate approach heavily relies on historical data from previous projects and expert opinion, while existing agile estimation methods like analogy and planning poker become unpredictable in the absence of historical data and experts. User Stories are used to estimate effort in the Agile approach, which has been adopted by 60–70% of the software businesses. This study's goal is to r...
International Journal on Recent and Innovation Trends in Computing and Communication, May 17, 2023
Trend of using the software in daily life is increasing day by day. Software system development i... more Trend of using the software in daily life is increasing day by day. Software system development is growing more difficult as these technologies are integrated into daily life. Therefore, creating highly effective software is a significant difficulty. The quality of any software system continues to be the most important element among all the required characteristics. Nearly one-third of the total cost of software development goes toward testing. Therefore, it is always advantageous to find a software bug early in the software development process because if it is not found early, it will drive up the cost of the software development. This type of issue is intended to be resolved via software fault prediction. There is always a need for a better and enhanced prediction model in order to forecast the fault before the real testing and so reduce the flaws in the time and expense of software projects. The various machine learning techniques for classifying software bugs are discussed in this paper.
Information is very important and required in almost all areas and fields. It is close to some of... more Information is very important and required in almost all areas and fields. It is close to some of the areas viz. Data, Content and Knowledge. The system is also another concept that deals with the group of interrelated and connected entities, objects, tools, or facets. In other words, combinations of some subsystems are called Systems. Therefore, Systems in respect of the Information is called Information Systems. Information Systems is the way, tools, connected entities that are dedicated or responsible for the information related activities ranging from the collection, selection, organization, processing, management and dissemination. There are different contexts regarding Information Systems, in some contexts, it is also the electronic systems dedicated to information management and delivery to the organizations, institutions. In some contexts, it is the Computational way to preserve and deliver content and information. Information Systems in another context are the apex controlling mechanism of some of the divisional information systems such as Executive Information Systems, Decision Support Systems, etc. which helps in Information related activities to the organizations. Even Information System is also considered as a branch or field of study internationally. This paper is a theoretical one and mentioned the aspects of systems including their foundations, applications of systems, information systems including their foundation, types, nature, and emerging characteristics. The paper also highlights the academic availability and potentiality of Information Systems.
Journal of Analysis and Computations, May 31, 2023
Effort estimation is a crucial component of software development that aids in re-source allocatio... more Effort estimation is a crucial component of software development that aids in re-source allocation and planning for project managers. While faulty estimation can lead to cost overruns and project failure, an accurate estimation can stop project delays and overruns. Increasingly used in recent years for software development effort estimation, ensemble approaches combine numerous models to increase pre-diction accuracy and stability. This study investigates various ensemble learning approaches and assesses how well they work on a dataset of actual software projects. The findings demonstrate that ensembles perform better than single models and can estimate effort with high accuracy. This work also offers insights into the parameters, such as the diversity of models and the quality of input information, that influence the performance of ensemble approaches. The results indicate that ensemble approaches, which can be implemented using a variety of techniques like bagging, boosting, and stacking, can be a feasible strategy for enhancing software development effort estimation. However, the success of these methods depends on the careful selection of models and characteristics.
Agricultural Informatics is one of the important emerging domains gaining popularity in recent ye... more Agricultural Informatics is one of the important emerging domains gaining popularity in recent years. This is simply the application of Information Technology and Computing in Agriculture and allied activities. This is also the combination of ‘Agricultural Science’ and ‘Informatics or Information Science’. This emerging as an interdisciplinary subject and provides solutions for the smarter agriculture and advancement of the agricultural sectors. It is connected with various kinds of information and technological tools. In the recent past, various IT components have emerged and all these are responsible for the agricultural activities leading to cultivation; its enhancement, productivity, quality, cleanliness, efficiency, post agricultural activities. The Agricultural Informatics is responsible for the design, development, management and implementation of the advanced and intelligent agricultural systems, that may call as ‘Smart Agriculture’ or it may be called as ‘Digital Agricultur...
Agriculture is important for everyone due to its importance in our daily lives. Cultivation is va... more Agriculture is important for everyone due to its importance in our daily lives. Cultivation is valuable for all of us and required in the building of healthy agricultural systems development and in this context different technologies and also emerging Agricultural Informatics plays a leading role. In respect of developing modern agricultural systems,various methods are useful and enhancing. Apart from the core technologies various supporting technologies, also beneficial in modernizing agricultural production and systems practice. Among the technologies few important are genetic engineering, computing technology, nanoscience, Management Science, and so on. Information Technology and Agricultural Sciences result in the development of Agricultural Informatics with its various components. Recently various other components have developed viz. Data Analytics, AI & Robotics, Cloud Computing & Virtualization, Internet of Things, etc. And within these technologies, Big Data and Analytics is emerging and enhancing more on Agricultural Informatics since it holds the solution for managing data effectively with a large amount and also the complex data. The applications of Data Science, Big Data, or Analytics in different subjects have resulted in various new nomenclature and among these Agricultural Data Science is an important one. This paper deals with the Agricultural Informatics including features, applications emphasizing Big Data and Analytics. The paper discussed about Agricultural Data Science, i.e. possibilities of Big Data and Analytics in Agricultural with educational programs available and future potentials. The paper also states the challenges, issues, etc. in this regard.
International Journal of Advanced Research in Computer Science, 2011
Nowadays, Knowledge became superpower for organizational growth and software is the tools which c... more Nowadays, Knowledge became superpower for organizational growth and software is the tools which can manage knowledge with efficient manner; if application framework is appropriate made by the software engineering practices. Many knowledge management frameworks and tools are available in the form of software but still need a theoretical framework for organizational knowledge by the knowledge communities. In this global business economy era each and every activity to be recorded for future reference and this reference leads better decision for organizational growth. In this paper we are doing exploratory study for the organizational knowledge management and software engineering. The basic reason of this study is to find out the appropriate way to make a theoretical framework for Knowledge management prop up for software engineering
Environmental Informatics is an important interdisciplinary practicing field and rising in the re... more Environmental Informatics is an important interdisciplinary practicing field and rising in the recent past. It is the combination of Environmental Science and Information Science; and more clearly it is the applications of Information Technology in different aspects of Environment, Nature and Ecology. Information Technology applications are raising in different areas and environments and nature is no exception. There are numerous reasons in which Information Science or Informatics can be applied. And thus, indirectly in it applicable in other different areas viz. Geology, Geography, Climatology, Oceanography,Agriculture, Forestry, etc. are also important stakeholders of Environmental Informatics. There are various places in which IT, Computing and similar technologies can be applied or task can be better, smoother and effective than the traditional systems. Apart from the traditional Computing and IT components many latest can get the benefits of Environmental Informatics. There are...
Software engineering is the process of design; develop Implement and Maintenance a particular tas... more Software engineering is the process of design; develop Implement and Maintenance a particular task with certain goal by the help of logical activity perform by the knowledge communities. Especially, In Knowledge Organization around 80 Percent Problem is recognized by the Knowledge communities i.e. related to the people. Much work is recognized in the field of knowledge management support for Software Organization but knowledge manager are still facing Problem Related to organizational Knowledge management. While, we are crossing the dynamic and multi facet environment where work to be performing 24*7*365n in manner. So, we need an environment which acts as a multi agent for knowledge management communities. In this work we are proposing a Model for Software Companies who are seeking for optimum Knowledge management practices (OKMP) at the organization. In order to get this objective we have splitting the work into five phases; Which begins from Identification of the various Problems related to software Engineering or Software engineering Practices (SEP)? To overcome these problems we are bringing knowledge management and it's Various Practices including the consequences of such Practices? Then after we are keeping Multi Agent System in Knowledge Management and then we are putting MAS and KM as a whole in Software Engineering. Finally, we are looking for the result of such merger which would further term as SE-MABKM (Support for Software Engineering via Multi agent based Knowledge Management).
Nanoparticles of Co-Cu mixed ferrite having the basic composition Co1-xCuxFe2O4(x=0, 0.2, 0.4, 0.... more Nanoparticles of Co-Cu mixed ferrite having the basic composition Co1-xCuxFe2O4(x=0, 0.2, 0.4, 0.6, 0.8 and 1.0) were synthesized using nitrate-citrate combustion method. Structural, dielectric and a.c conductivity of nanopowders, which are sintered at 900°C were studied. Powder X-ray diffraction studies confirmed phase and their nanocrystalline nature. The peaks observed in the XRD spectrum indicated single phase spinel cubic structure for the synthesized samples. Surface morphology of the samples has been investigated using High ResolutionScanning Electron Microscope. The dielectric constant (e′) and dielectric loss factor (e″) of nanocrystalline Co-Cu mixed ferrites were investigated as a function of frequency and Cu+2 concentration at room temperature over the frequency range 100 Hz to 1 MHz using Hioki make LCR Hi-Tester 3250. Synthesized mixed ferrites exhibited usual dielectric dispersion, dependence of e′ and e″ with the frequency of the alternating applied electric field is in accordance with the...
Executive Director, MCIS, Department of CIS, Information Scientist (Offg.), Raiganj University, I... more Executive Director, MCIS, Department of CIS, Information Scientist (Offg.), Raiganj University, India. Vice Chancellor, Raiganj University, West Bengal, India. Pro Vice Chancellor (Asian Region), Commonwealth Vocational University, Kingdom of Tonga. Dean (Science & Management), Raiganj University, West Bengal, India. Head (Asian Region), Ballsbridge University, Commonwealth of Dominica. Principal, Rohini College of Engineering and Technology (RCET), Kanyakumari, TN, India.
Human Computer Interaction is actually responsible for the designing of the computing technologie... more Human Computer Interaction is actually responsible for the designing of the computing technologies keeping in mind the aspects of Interaction. Some of the fields viz. Man-Machine Interaction (MMI), User Experience Designing, User Experience Design, Human Centered Designing etc and importantly all these systems and technologies are dedicated to the designing of interface of various tools and systems such as computers, laptops, electronic systems, smart phones etc. Information Technology field is growing rapidly and there are various technologies are increasing viz. Big Data Management, Cloud Computing, Green Computing, Data Science, Internet of Things (IoT), HCI, Usability Engineering etc. Usability Engineering is gaining as a field of study as well and dedicated in creation of the higher usability and user friendliness of the electronic tools and products. In this field few aspects and technologies are most important and emerging viz. Human cognition, behavioral Research Methods, Qu...
Zinc doped cobalt ferrite nanoparticles having the basic composition Co1-xZnxFe 2 O 4 (x=0, 0.1, ... more Zinc doped cobalt ferrite nanoparticles having the basic composition Co1-xZnxFe 2 O 4 (x=0, 0.1, 0.2, 0.3, 0.4, 0.5) were prepared using auto combustion method. The structural, dielectric and a.c conductivity of these samples, which are sintered at 900 0 C were studied. XRD patterns were recorded using X-ray diffractometer. XRD patterns confirm the nanocrystalline nature for the sintered samples. The peaks observed in the XRD spectrum indicated single phase spinel cubic structure for the samples. Surface morphology of the samples has been investigated using Field Emission Scanning Electron Microscope (FESEM). The dielectric constant (ε') and dielectric loss tangent (tan δ) of nanocrystalline cobalt ferrites were investigated as a function of frequency and Zn +2 concentration at room temperature over the frequency range 100 Hz to 1 MHz using Hioki make LCR Hi-Tester 3250. The dependence of ε' and tan δ with the frequency of the alternating applied electric field is in accordance with the Maxwell-Wagner type interfacial polarization. The electrical conductivity (σac) deduced from the measured dielectric data has been thoroughly analyzed and found that the conduction mechanism in the present Co1-xZnxFe 2 O 4 nanoferrites are in conformity with the electron hopping model.
We always strive to get better algorithms for securing data. A variety of such algorithms are bei... more We always strive to get better algorithms for securing data. A variety of such algorithms are being used in cryptography. Manly block and stream ciphers are available and one of them is International Data Encryption Algorithm (IDEA), which was regarded arguably as one of the best for encryption purposes. A considerable time has elapsed since its advent and this period has witnessed a wide development in process approaches and applications. The number of transactions and exchanges of data has increased exponentially. Consequently, better and novel attacks on data evolved. Researchers believe that the security of the algorithm needs to be improved keeping a check on the time and space complexity. Within this research work we are looking for a robust algorithm known as NDEA which can be applied for securing modern environment applications.
Robotics is a machine which is supported by the Artificial Intelligence and Expert Systems. This ... more Robotics is a machine which is supported by the Artificial Intelligence and Expert Systems. This is basically run with the programmable computer which is run and does the performance and activities automatically. The robotics systems can be done with the integrated systems built inside or it may be done by the external controlling mechanism. It is not mandatory that a robot always looks like a human being. It could be of any form and designing or shape, however, the things in robotics is that it is operated automatically. Robots are applicable in diverse areas and sectors and among these important are include healthcare, business, agriculture, transportation, manufacturing etc. As far as agriculture is concerned, Robotics is very much associated with the various pre and postproduction of agriculture and similar sectors. Initially in harvesting only the robotics were used but currently, there are more concerns where robotics can be applicable viz. drone for the weed controlling, plan...
Scholedge International Journal of Management & Development ISSN 2394-3378, 2021
Information is very important and required in almost all areas and fields. It is close to some of... more Information is very important and required in almost all areas and fields. It is close to some of the areas viz. Data, Content and Knowledge. The system is also another concept that deals with the group of interrelated and connected entities, objects, tools, or facets. In other words, combinations of some subsystems are called Systems. Therefore, Systems in respect of the Information is called Information Systems. Information Systems is the way, tools, connected entities that are dedicated or responsible for the information related activities ranging from the collection, selection, organization, processing, management and dissemination. There are different contexts regarding Information Systems, in some contexts, it is also the electronic systems dedicated to information management and delivery to the organizations, institutions. In some contexts, it is the Computational way to preserve and deliver content and information. Information Systems in another context are the apex controll...
Uploads
Papers by ripu sinha