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Protection of Power System during Cyber-Attack using Artificial Neural Network
Get PDFImpacts of frequency and voltage disturbance on an isolated power system caused by cyber-attack have been discussed, and a neural network-based protective approach has been proposed in this research work. Adaptive PID controllers for both load frequency control and automatic voltage regulator have been implemented using an artificial neural network-oriented by genetic algorithm. The parameters of the PID controller have been tuned offline by using a genetic algorithm over a wide range of system parameter variations. These data have been used to train the neural network. Three input switch has been implemented to control governor speed regulation and amplifier gain. For load frequency control neural network tuned PID controller mitigate frequency disturbance 48% faster than manually tuned PID and for the automatic voltage regulator, neural network tuned PID controller mitigate voltage disturbance 70% faster than manually tuned PID during cyber-attack
Carrier Concentration in Bulk Perovskite CH3NH3PbI3 Thin Films
Get PDFEfforts are currently on going on the physics of photo electrics in methyl ammonium lead halide perovskites to unveil the secret of its success in photovoltaics. Since carrier concentration depends on impurity, temperature and other parameters of a semiconductor, herein, an attempt has been made address the relationship between these parameter and carrier concentrations. It was found out that the conventional band edge at 1.58 eV responsible for presenting a blue-shift depends on thickness, temperature and carrier concentration. Thus, in this work, the intrinsic carrier concentration was taken as the number of electrons and it was shown that the observed unusual optical band edge in CH3NH3PbI3 perovskite bulk thin films is about 1.58eV. It was concluded that the band edge is beneficial for photo electric effect by making use of its inhibited radiative recombination.
 
Front-End Development in React: An Overview
Get PDFIn front-end development, the function that react.js plays is becoming increasingly important, providing developers with new options to create new applications. This article discusses how react.js assists in constructing user interfaces and the benefits it offers in building front-ends. According to the survey carried out by Web Technology Surveys, react.js is utilized by a significant percentage of all websites today. We will not exaggerate the situation if we declare that React.JS is used everywhere. When it comes to websites, new audiences have various interests. This article discusses critical aspects of the framework, including its advantages over competing frameworks, how it works, and its architecture
Secure VLSI Design: Countermeasures against Hardware Trojans and Side-Channel Attacks
Get PDFTo counter the growing risks to the integrity of integrated circuits (ICs) from side-channel assaults and hardware Trojans, secure VLSI design is essential. This research aims to understand better how to defend against these attacks by strengthening the security posture of VLSI-based systems. Using a thorough methodology, the study combines rigorous validation procedures, practical implementation strategies, and early integration strategies to create robust security measures. Key conclusions emphasize the significance of proactively integrating countermeasures, utilizing reliable hardware modules, and implementing appropriate validation procedures to manage risks successfully. The value of industry collaboration, regulatory frameworks, and education programs in promoting secure VLSI design techniques is highlighted by policy implications. Stakeholders can improve the security posture of electronic devices, protect vital infrastructure, and guarantee the reliability of VLSI-based systems in an increasingly linked world by addressing constraints and regulatory consequences
Performance-Based Seismic Design of High-Rise Buildings: Incorporating Nonlinear Soil-Structure Interaction Effects
Get PDFThis project aims to understand better how to incorporate nonlinear soil-structure interaction (SSI) effects into high-rise building performance-based seismic design approaches. The primary goals are to determine how important it is to include nonlinear SSI effects, create integration methods for them, and analyze how they affect seismic resilience. In terms of methodology, the study uses case studies and an analysis of current literature to show real-world applicability. Important discoveries highlight how critical nonlinear SSI analysis is for precisely forecasting structural reactions, locating weaknesses, and creating focused mitigation strategies. The policy implications emphasize the necessity of modern building regulations, research and development expenditures, and advancements in site characterization methods to facilitate the implementation of performance-based design methodologies. To improve the resilience and safety of high-rise buildings in earthquake-prone areas, this study\u27s findings highlight the significance of considering nonlinear SSI effects during seismic design procedures
The Impact of AI and Reciprocal Symmetry on Organizational Culture and Leadership in the Digital Economy
Get PDFThe profound effects of reciprocal symmetry and artificial intelligence (AI) on leadership and organizational culture in the digital economy are examined in this study. Examining the impact of AI and reciprocal symmetry integration on leadership styles, workplace ethics, and organizational dynamics are among the main goals. Using a secondary data-based review process, the study synthesizes current literature, research papers, and empirical findings relevant to AI adoption and reciprocal symmetry principles in corporate environments. Significant findings show that AI technologies transform organizational culture, resulting in cultural shifts toward data-driven decision-making, innovation, and cooperation. Principles of reciprocal symmetry promote inclusive environments that highly value openness, justice, and respect for all parties involved. Ethical questions become increasingly important with policy ramifications that demand regulatory frameworks and moral norms to ensure responsible AI deployment and conformity with societal values. This study emphasizes ethical involvement, adaptive leadership, and teamwork when utilizing AI and reciprocal symmetry to promote favorable organizational and social outcomes in the digital economy. Organizations can manage AI adoption while promoting human-centric cultures and long-term value generation by adopting reciprocal symmetry principles
Android Anti-Virus System for Malware Mutation in Networking
Get PDFNowadays, the rapid evolution in the mobile phone industry has attracted lots of consumers around the world while smartphones being the trend of the phone with the highest demand by a large margin. Recent research has shown that Android Operating System has accounted for 88% of the mobile phone market which has led to the production of different varieties malware targeted mostly on Android Phones. Furthermore, recent research has also revealed that there is high negligence to this great threat where by Android Antimalware software only counter trivial attacks posed by malware or viruses. This paper supports most of the theories and in fact, focuses on one of the most typical vulnerabilities of Android Antimalware which is the mutation attacks. In this paper, the best in class mobile antimalware for Android were assessed and tested how safe they are against different normal obfuscation strategies even with known malware and the results were not up to a satisfactory level. Furthermore, the scope of this research also spans to the implementation of a proposed antimalware which detects and counters mutation attacks using static detection of Android malware using Integrity Check Technique. The feedbacks were analyzed using SPSS 2.0. Analysis of respondents’ feedbacks shows that there is even little or no knowledge of malware threats or proper antimalware by mobile phone users. This brings great concerns and this work shows why assessment of this subject matter is and essential considering the rapid growth of smartphone usage. This paper is to evaluate the efficacy of Anti Malware tools on Android in the face of various evasion techniques while developing a system that counters this evasion technique
Edge Computing and Quantum Computing to Find Statistics of Pandemic
Get PDFEdge computing and quantum computing to find statistics of pandemic’ analysis the use of edge and quantum computing in tracking the events happening in the world to get the statistical analysis done to find pandemic causing factors and situations so that authorities can be notified so that a potential pandemic can be avoided in the near future. An edge computing system enables customer data to be processed at the edge of the network to as close as possible to the originating source. Quantum computing is an aspect of computer processing that concentrates on creating machines, computer systems, and technology using the tenets of quantum theory. The application of edge and quantum computing in the healthcare sector, just like in other industries, can enable significant advantages that only traditional computers may not bring
Theoretical Approaches of Machine Learning to Schizophrenia
Get PDFMachine learning techniques have been successfully used to analyze neuroimaging data in the context of disease diagnosis in recent years. In this study, we present an overview of contemporary support vector machine-based methods developed and used in psychiatric neuroimaging for schizophrenia research. We focus in particular on our group\u27s algorithms, which have been used to categorize schizophrenia patients and healthy controls, and compare their accuracy findings to those of other recently published studies. First, we\u27ll go over some basic pattern recognition and machine learning terms. Then, for each study, we describe and discuss it independently, emphasizing the key characteristics that distinguish each approach. Finally, conclusions are reached as a result of comparing the data obtained using the various methodologies presented to determine how beneficial automatic categorization systems are in understanding the molecular underpinnings of schizophrenia. The primary implications of applying these approaches in clinical practice are then discussed
Secure Programming with SAS: Mitigating Risks and Protecting Data Integrity
Get PDFThis article examines the significance of safe programming with SAS (Statistical Analysis System) for risk mitigation and data integrity protection in data-driven environments. The study intends to investigate data protection strategies to improve application security, look at best practices for secure SAS coding, and identify prevalent security threats related to SAS applications. The review process is secondary data, with insights gleaned from online resources, industry reports, conference papers, and academic journals. Important discoveries show that SAS programs frequently have vulnerabilities, including SQL injection, cross-site scripting (XSS), and unsafe data handling. The best practices that have been established encompass data encryption, secure access controls, output encoding, parameterized queries, and input validation. The policy implications emphasize the significance of legislative frameworks for data protection and encouraging instruction in secure programming practices. This report emphasizes how important it is for businesses to use SAS for secure programming to protect sensitive data, abide by data protection laws, and defend against cyberattacks