International Journal of Communication Networks and Information Security (IJCNIS)
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A Proposal Method for Using Open AI and chatgpt to develop the research methods in Bisha University
No full textIncorporating AI in academic research methods has been a topic of interest in the past few years. This paper aims to develop a framework for accommodating OpenAI technologies, especially ChatGPT, in Bisha University's research methodology. AI can improve multiple steps of the research process, including the literature evaluation, the formulation of hypotheses, the data analysis, and the research composition. The subject of this proposal is to look at the potential benefits of using AI to improve research productivity, quality, and interdisciplinarity at Bisha University. This research work will use primary and secondary data collection methods to survey faculty members, researchers, and students, aiming to assess current practices and identify gaps suitable for AI incorporation. In addition, it considers the ethical, technical, and institutional challenges of using AI tools in research in higher learning institutions. This research will provide tangible suggestions for Bisha University to spearhead AI-based research as well as to respond to the issues of AI morality and academic honesty
POWER STABILITY IMPROVEMENT OF MICROGRID BY USING H5 INVERTER BASED D-STATCOM
No full textMICROGRID is a
coordinated combination of clusters of micro–sources like wind, solar, micro-hydel, biogas, biomass, etc with regenerative storage systems and power electronic techniques for quality conditioning of the DDG ( Decentralized distributed generation) system. In order to achieve seamless functioning as a unified system, it is essential that most of the micro-sources are based on power electronics, as this provides the required level of adaptability.
This research provides a unique D- STATCOM setup for voltage quality improvement in MICRO GRID. The transient responsiveness of the distribution static compensator (D-STATCOM) is particularly essential. Effective functioning of D-STATCOM necessitates adjustment of the dc-link voltage within the specified boundaries. Typically, a proportional-integral (PI) controller has been employed to keep the dc-link voltage at the ideal level. The system takes as input the discrepancy between the voltage of the capacitor and its desired value. Nevertheless, the conventional PI dc-link voltage controller demonstrates a delayed transient response. A proposed solution is to use a fast-acting dc-link voltage controller in order to obtain a similar rapid transient reaction. The controller functions by utilizing the energy stored in a dc link capacitor
Simulation and Analysis of Microstrip Patch Antenna for Wireless Communications using Metamaterial Structure
No full textIn this article, we discuss and analyze the performance of microstrip patch antenna with and without the use of metamaterial structure. The return loss of a typical patch antenna designed at 2.4 GHz resonance frequency was compared with the same patch antenna without stacked metamaterials, as well as the concept of additional stacked metamaterials, which has attracted significant attention in recent decades. Metamaterials are artificially created materials that have properties that are not easily found in natural materials. A widely accepted property of metamaterials is their ability to control the propagation of electromagnetic waves. The permittivity, permeability and refractive index of metamaterials are calculated numerically using CST software. In this paper we have discussed and analyzed the performance of microstrip patch antenna with and without the use of metamaterial structure
A Study of AI-Based Information Systems in Enhancing Decision-Making for Top Management: Special Reference to Educational Organizations
No full textAI is becoming an integral part of decision-making processes in Indian organizations across various sectors. From finance and healthcare to agriculture and education, AI technologies enable better data analysis, improve operational efficiency, and enhance customer engagement. As these organizations continue to adopt AI solutions, the potential for improved decision-making and competitive advantage will likely grow, driving innovation and growth in the Indian economy. By leveraging AI technologies, top management can enhance their decision-making processes, leading to more strategic, timely, and effective organizational outcomes. The integration of AI into decision-making not only improves operational efficiency but also positions organizations to navigate complex and rapidly changing business environments effectively.Several educational organizations in India, including BYJU'S, Vedantu, Unacademy, Toppr, Nirmaan Organization, CleverTap, Smart School, Khan Academy, and Embibe, are leveraging AI-based systems to enhance decision-making and improve learning outcomes through personalized learning experiences and data-driven insights. The main aim of this article to study the role of AI-Based system in the decision making of Top management with special reference in Education system in India
Research on the Performance Strategy Choice of Low-carbon Operation of Tourism hotels from the Perspective of Network Management
Get PDFThe application of performance strategy selection in the low-carbon operation of hotels has gradually improved the operation level and made low-carbon operation management the focus of tourism hotel research. Due to the complexity of the process of low-carbon operation, the traditional performance strategy selection method cannot solve the problems of large data volume and complex data structure, and the operational performance management effect is poor. Therefore, this paper analyzes the selection of operational performance strategies from the perspective of network management. Wireless internet technology and low-carbon evaluation system are used to set the parameters of strategy selection, and the operational performance strategy is transformed. Then, the low-carbon operation effect is verified according to the performance evaluation system, and the parameters of the operational performance strategy are finally obtained. The results of strategy selection show that from the perspective of network management, the selection accuracy of low-carbon operational performance strategies of tourism hotels is greatly improved, which can meet the needs of actual operation strategies
Tom and Jerry Based Multipath Routing with Optimal K-medoids for choosing Best Clusterhead in MANET
Get PDFGiven the unpredictable nature of a MANET, routing has emerged as a major challenge in recent years. For effective routing in a MANET, it is necessary to establish both the route discovery and the best route selection from among many routes. The primary focus of this investigation is on finding the best path for data transmission in MANETs. In this research, we provide an efficient routing technique for minimising the time spent passing data between routers. Here, we employ a routing strategy based on Tom and Jerry Optimization (TJO) to find the best path via the MANET's routers, called Ad Hoc On-Demand Distance Vector (AODV). The AODV-TJO acronym stands for the suggested approach. This routing technique takes into account not just one but three goal functions: total number of hops. When a node or connection fails in a network, rerouting must be done. In order to prevent packet loss, the MANET employs this rerouting technique. Analyses of AODV-efficacy TJO's are conducted, and results are presented in terms of energy use, end-to-end latency, and bandwidth, as well as the proportion of living and dead nodes. Vortex Search Algorithm (VSO) and cuckoo search are compared to the AODV-TJO approach in terms of performance. Based on the findings, the AODV-TJO approach uses 580 J less energy than the Cuckoo search algorithm when used with 500 nodes
Framework Design of Smart Contracts-Based Building Information Modeling Contracts Management in Material Supply Chain
Get PDFDisputes in the construction industry occur from time to time. The development of the building information model enables the information in the process of project execution in the construction industry to be stored in the same model, which can find appropriate communication channels for disputes between different parties involved in engineering projects. As an emerging technology, Blockchain has received wide attention and is widely used in various fields because of its distributed storage, decentralization, and de-trust characteristics. Furthermore, smart contracts technology provides a new solution to the existing difficulties of disputes in the construction engineering industry from the perspective of replacing traditional contracts. Based on the research of Blockchain and smart contracts technology, this paper analyzes the feasibility of applying Blockchain and smart contracts to contracts management of the construction information model and discusses the implementation plan of combining Blockchain and contracts management of the construction information model with the actual scenario of material supply in the construction industry, choosing Ethereum blockchain platform as the underlying architecture and adopting " The development of smart contracts for construction material supply is carried out by adopting the "on-chain off-chain" data storage and business interaction method, and the specific design and implementation are carried out from the perspectives of system architecture, system deployment, contracts invocation mechanism, and contracts function
Risk identification of PPP mode in stadiums and gymnasiums by ant colony algorithm
Get PDFAiming at the problem that the PPP model of stadiums and gymnasiums can not realize multi-dimensional risk analysis and the global risk identification ability is poor, an ant colony algorithm is proposed. Firstly, k clustering is used to cluster PPP mode data. Then, the ant colony algorithm is analyzed stochastically, and the risk set of PPP mode is obtained, which lays the foundation for later risk identification. Finally, through the random fusion function, the PPP mode risk set based on the path profile is constructed, and the optimal identification path is obtained, so as to improve the identification accuracy of PPP mode risk. MATLAB simulation shows that the ant colony algorithm proposed in this paper is superior to the risk clustering method in the overall risk identification accuracy and identification time of PPP mode. Therefore, the ant colony algorithm proposed in this paper can be used to identify the risk of PPP mode, to meet the needs of the construction of stadiums and gymnasiums
Research on Internet Technology Innovation and Information Security Challenges in New Vehicle Energy Sector
Get PDFWith the rapid proliferation and advancement of new energy vehicles, Internet technology has garnered significant attention and application in this field. This study focuses on innovations in Internet technology in the domain of new automotive energy and the associated information security challenges. The innovations in Internet technology relevant to new energy vehicles, including Telematics, intelligent driving, and remote control, are initially explored. Subsequently, the information security challenges brought about by these innovations are analyzed, encompassing various aspects such as data privacy breaches, remote attacks, and malware infections. The significance of information security in the development of new energy vehicles is emphasized. Solutions and suggestions, including the strengthening of encryption technology, the establishment of a robust security framework, and the enhancement of user education and awareness, are put forward. In conclusion, the current state of research on Internet technology innovation and information security challenges is summarized, and it is suggested that future research should delve deeper into the trajectory of Internet technology development in the field of new energy vehicles, along with the attendant information security challenges, to provide theoretical and practical support for promoting the healthy development and secure application of the new energy vehicle industry
Research on Traditional Village Diversity and Living Inheritance Value from the Perspective of Spatial Gene Background
Get PDFThe comprehensive and diversified value of living inheritance analysis has become more and more prominent in traditional villages, which have rich agricultural production resources, original ecological resources, and the living value of the village community and cultural inheritance. However, in the process of village diversity development and living inheritance value analysis, there are problems such as poor analysis effect and a small amount of analysis data. The main reason is that wireless Internet technology in rural areas is backward, which restricts the development of village diversity and living inheritance. Therefore, this paper proposes a diversity development analysis method based on spatial genes, which can plan the development and living inheritance of rural diversity in different regions. Firstly, wireless Internet technology is used to collect excellent diversified development data. The data is collected from different regions and then summarized based on spatial genes. This is, in turn, used to perform regional planning for development based on the local people's conditions and characteristics to achieve excellent and innovative development forms. Then, according to the concept of the spatial gene as the constraint, the transmission of living inheritance data, which is the spatial data, is done using wireless Internet technology through which the innovative form of diversified development of the underlying traditional villages is promoted. The results of the presented analysis of living inheritance are done through fusion analysis, transmission effect and accuracy analysis augmented with the support of wireless Internet technology. It can be observed that the concept of a spatial gene can improve the development level of village diversity, promote rural construction and strengthen village protection and development by using wireless network communication that adapts to the development of modern society and meet the needs of modern production space genes in rural areas