Journal of Science & Technology (JST)
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Effect ofRandom Mobility Models Pattern in Mobile Ad hoc Networks
Get PDFA mobile ad hoc network (MANET) is a network consisting of a set of wireless mobile nodes that communicate with each other without centralized control or established infrastructure. The mobility model represents the moving behavior of each mobile node (MN) in the MANET that should be realistic. It is a crucial part in the performance evaluation of MANET. In this paper, we have studied the effects of various random mobility models on the performance of AODV. For experimental purposes, we have considered three mobility scenarios: RandomWaypoint, Random Walk with Reflections and Random Walk with Wrapping. Experimental results illustrate that performance of the routing protocol varies across different parameters like number of nodes, packet delivery ratio and end to end delay
Relevance feature selection via analysis of the KDD '99 intrusion detection dataset
Get PDFThe rapid development of business and othertransaction systems over the Internet makes computer securitya critical issue. In recent times, data mining and machine learning have been subjected to extensive research in intrusion detection with emphasis on improving the accuracy of detection classifier. But selecting important features from input data lead to a simplification of the problem, faster and more accurate detection rates. In this paper, we presented therelevance of each feature in KDD ’99 intrusion detection dataset to the detection of each class. Rough set degree of dependency and dependency ratio of each class were employed to determine the most discriminating features for each class. Empirical results show that seven features were not relevant in the detection of any class.
 
Quantum Internet for Healthcare: Securing Patient Data with QKD and Entanglement-Based Communication
Get PDFThis research delves into the implementation of Quantum Internet in healthcare and how itcould be used for securing patient data through Quantum Key Distribution (QKD) andentanglement-based communication. As cyberattacks threaten to override conventionalencryption algorithms, quantum cryptography provides highly secured protection forhealthcare data. Implementing QKD and entanglement-based communication, the paperillustrates their effectiveness in delivering impenetrable encryption and data exchange securityfor healthcare. The performance assessment of different techniques demonstrates that thehybrid quantum-classical scheme exhibits minimum encryption latency (0.90 ms), shortest key exchange duration (0.60 s), and maximum data throughput (60.10 Mbps) with good securitystrength (512 bits). With some issues like high costs for deployment and scalability, future-proofed solutions by way of hybrid quantum-classical systems are pinpointed. The researchindicates that quantum-secure medical systems have the potential to vastly improve patientconfidentiality, data integrity, and medical network cybersecurity in the future
"Exploring Design for Manufacturing, Assembly, and Reliability in Product Redesign: Insights and Research Gaps"
Get PDFIn order to remain competitive, the manufacturing sector must constantly introduce new goods to cater to changingcustomer lifestyles. Redesigning an existing product with the goals of making it more reliable, cheaper, and moresatisfying for customers might lead to the creation of a brand-new product. One method of developing products andprocesses simultaneously is known as Design for Manufacturing and Assembly (DFMA). This method prioritizesreducing costs by taking manufacturing and assembly ease into account. In the early stages of design, productdependability is just as important as manufacturability. Loss of market share and astronomical costs might result fromdefective goods. The major goal of this research is to draw conclusions from existing literature and suggest avenuesfor further investigation into product redesign using DFMA and DFR as an integrated framework. The goal isachieved by conducting a literature review using bibliometric analysis, which is informed by the articles found in theScopus database. This study examines and discusses present and previous DFMA and DFR for product redesign,leading to a systematic evaluation of the last five years. A DFMA-based product redesign paradigm that incorporatesreliability prediction into early product design is the subject of future study
Significance of Povarov Reaction in Organic synthesis: An overview
Get PDF:The Povarov reaction has enabled and shaped the art and science of organic synthesis over the last few decades to an extent that has yet to be eclipsed by any other transformation in the current synthetic repertoire. With myriad applications of this magnificent Pericyclic reaction, often as a crucial element in elegant and programmed cascade sequences facilitating complex molecule construction, the Povarov cycloaddition has afforded numerous and unparalleled solutions to a diverse range of synthetic puzzles provided by nature in the form of natural products. Selected examples of the awesome power of the reaction he helped to discover are discussed in this review in the context of organic synthesis to illustrate its overall versatility and underscore its vast potential which has yet to be fully realized
A study on Emotional Skills among Prospective Teachers”
Get PDFThis study deals with the investigation of Emotional Skills among prospective teachers. The study aims to investigate the level of Stress resistance, Optimism, Emotional control. For this purpose, a descriptive survey model of the Emotional Skills Scale was developed by research scholar, and it was used to gather the data from prospective teachers. The scale consisted of 35 items were divided into three components. The factors are randomly mixed. The researcher takes a random sample of 102 prospective teachers from Srikakulam District (Andhra Pradesh). This study was limited to the Srikakulam district only. The data were evaluated by Statistical software to calculate t-test, Standard Deviation and Mean tests. The final result revealed that 15.68% of the prospective teachers have a low level of Emotional Skills. 65.68 % of the prospective teachers have an average level of Emotional Skills. Only 18.62 % of the prospective teachers have a high level of Emotional Skills. The Emotional Skills of prospective teachers in all factors is around 82%. The variables area, course of the Prospective Teachers doesn’t play any significant role in their Emotional Skills. Educational tours experience variable play a significant role. According to this study, the investigator concluded that different type of educational tours experience of prospective teachers differs in their Emotional Skills.
 
Flipped Classroom Approached in Learning Taxonomy and Classification: AssessingLearning Performance of Grade 11 Students of Notre Dame of Midsayap College
Get PDFBefore employing the flipped classroom approach, pupils' pre-test results were much lowerthan they were after using it. The preferences of both the male and female control and experimental groups were influenced by the flipped classroom and lecture content, respectively. When it came to assessing evolutionary relationships, there were substantial differences between the experimental and control groups. Phylogeny evaluation was performed on the post-test, and the females in the experimental group fared much better than the females in the control group. In terms of systematic differences, there was a statistically significant difference in post-test findings between the experimental and control groups for both males and females. On the other hand, the overall evaluation of Females in the experimental group outperformed males in the post-test. When the post-test data were compared between males and females, it was discovered that there was a significant variation in phylogeny between the experimental and control groups. On the post-test, males in the experimental group outperformed women in the control group, indicating that the study was successful. The responses to the Motivation to Learn Survey Questionnaire from both the experimental and control groups were compared. The control group had a higher mean score in motivation than the experimental group, but the extrinsic goal-oriented group had a mean score that was close to that of the control and experimental groups, as shown in Table 1. The intrinsicgoal orientation, control of learning beliefs, and self-efficacy of the control group were all shown to be significantly different from the experimental group. The relationship between intrinsic goal orientation and task value was not statistically significant
Prioritizing a Cloud Based Trusted Business Model for Sustainable Smart City
Get PDFThe rapid increase in urban population will inevitably present cities with a slew of new challenges. This emphasizes the significance of shifting paradigms in how cities operate in terms of sustainability. There is no single bestestablished definition of urban sustainability, but there is a commonly-used set of features. Sustainability characteristics include intergenerational equity, significant reduction of non-renewable resource use, economic vitality and diversity, community autonomy, citizen well-being, and satisfaction of basic human needs. These characteristics encompass the three dimensions of sustainability: environmental, economic, and social. Smart cities and Trusted Cloud Based Business modeling (TCBM) have arisen. TCBM is used in a variety of sectors in smart cities, including urban expansion modeling and pollution management. This paper highlights the cloud based trusted business model towards the sustainability of smart city
Using the K-Nearest Neighbour and Moth Blade Optimization Algorithm to Identify Malicious Sessions in IoT Networks
Get PDFdaily lives. Due to the increasing number of potential targets, the security of IoT devices is a pressing issue of the present. In this study, we offer a method for detecting intrusions into IoT networks, which classifies sessions into either attack or regular categories. Work for slection of characteristics for determining the class representative sessions employed a moth flame optimization genetic method. K-Nearest Neighbor was used to determine which class meeting it was. The experimental results, which were obtained using a real dataset, demonstrate that the suggested model, Moth Flame based IOT Network Security (MFIOTNS), is able to optimise different values of the evaluation parameters to provide greater gains in productivity
The Future of Electrical and Computer Engineering Education
Get PDF—This is the first part of a 2-part paper that has arisen from the work of the IEEE Power Engineering Society’s Multi-Agent Systems (MAS) Working Group. Part 1 of the paper examines the potential value of MAS technology to the power industry. In terms of contribution, it describes fundamental concepts and approaches within the field of multi-agent systems that are appropriate to power engineering applications. As well as presenting a comprehensive review of themeaningful power engineering applications for which MAS are being investigated, it also defines the technical issues which must be addressed in order to accelerate and facilitate the uptake ofthe technology within the power and energy sector. Part 2 of the paper explores the decisions inherent in engi- neering multi-agent systems for applications in the power and energy sector and offers guidance and recommendations on how MAS can be designed and implemented