VOLUME 12, ISSUE 10, OCTOBER 2024

Abstract: Ransomware attacks have evolved into one of the most significant cyber threats, causing extensive financial and reputational damage to organizations across the globe. Traditional security measures have proven inadequate in detecting and preventing the increasingly sophisticated techniques used by ransomware attackers. This paper explores the role of artificial intelligence (AI) and machine learning (ML) in combating ransomware by analyzing network traffic patterns, identifying malware signatures, and predicting potential threats before they fully manifest. The research highlights key AI and ML methodologies, such as anomaly detection, supervised learning algorithms, and natural language processing (NLP), that help cybersecurity systems improve accuracy in identifying malicious activity. Furthermore, the paper discusses the integration of AI-driven systems in incident response frameworks and the advantages these technologies offer in automating defenses against ransomware. Despite the promise of AI and ML in enhancing cybersecurity, challenges such as false positives, adversarial attacks, and ethical considerations in AI deployment are also discussed. This paper concludes with recommendations for future research and development to further enhance the effectiveness of AI in ransomware prevention.

Keywords: Ransomware, artificial intelligence, machine learning, anomaly detection, malware signatures, predictive models, cybersecurity, adversarial attacks, incident response, automation in security.

Abstract: In present study, the role of an integrated approach in decision-making and performance evaluation is presented. Here, critical insights for attaining sustainability are presented from the perspective of the development and growth of existing frameworks used by the organizations. The fishbone diagram is presented and critical insights are discussed from the frame of lean manufacturing and sustainable development. The study can help practitioners in evaluating criteria-based decision-making methods within organizations. This study presented eight steps of the decision- making process and also discussed ten different Multi criteria decion making method (MCDM). The study can be used to deal with multiple problems in the application area of selection, monitoring, defining, recording, and developing system characteristics. The study embraced its dimensions in presenting the theoretical foundation related to decision- making under the edges of industrial, manufacturing, and societal problems.

Keywords: Decision Making, Critical Insights, Evaluation, Integrated Approach, Sustainability

Abstract: The objective of the Study was to determine the behavioral , emotional and cognitive abilities among Physical education and Non Physical Education Students . Total, 300 physical education and 300 other students selected for thein the study and their age ranged between 18-30 years. The study depends mainly on primary source of data. The behavioral , emotional and cognitive abilities among Physical education and Non Physical Education Students measures through the self made questionnaires . The Result of the study indicates that, there was no significant difference of Behavioral characteristics between Physical Education and Non Physical Education Students. The Result of the study indicates that, there was significant difference of Cognitive components of Reaction to Stressors between Physical Education and Non Physical Education Students . The Result of the study indicates that, there was significant difference of Cognitive components of Reaction to Stressors between Physical Education and Non Physical Education Students .

Abstract: Swiftlet bird’s nest is valued for its nutritional and medicinal qualities, highly prized by Asian communities globally. With rising consumers demand and a growing middle class, this industry is lucrative yet connectivity to the swiftlet farms remains an issue due to its rural location (close to bird’s natural habitats) and far from grid connection or any electricity supply. Thus, the demand of a completely off-grid powered solar PV system is highly sorted and viable. In this case study, PVsyst simulation software was utilized to design a fully off-grid photovoltaic (PV) solar system for a swiftlet farm in Bintangor, Sarawak, at GPS coordinates 2°10'05.7" N, 111°38'29.8" E. Currently powered by a grid- based supply, this study aims to transition the site to a sustainable off-grid solar PV system, serving as a model for future swiftlet farm developments in Sarawak. The site covers a total area of 847.32 m² (an irregular heptagon with a maximum length of 58 m and width of 17 m). At the design and estimation stage, it was determined that 252 solar panel modules, 240 batteries, 21 charge controllers, and a 11,000 W (DC to AC) inverter would be required to meet these needs yielding a total of energy of 74.49 MWh/year.

Keywords: PVsyst, Off-grid swiftlet farm, Design, Case Study.

Abstract: In recent years, road traffic has become a major global issue. Statistics reveal that an individual typically spends around 6-7 months of their lifetime simply waiting at traffic signals during travel. Generally, traffic management at city junctions is controlled either through fixed automated traffic light systems or manual intervention by traffic police. However, conventional fixed-time controlled traffic signals, which operate on preset intervals, are inefficient as they do not account for real-time traffic density. An economical densitybased traffic control system could therefore provide an effective solution. The proposed system operates with a timer set for a specific duration

Keywords: Pilot lamp, Arduino, Traffic control.

Abstract: The drone also knows as unmanned aerial vehicle (UAV) is a most powerful and popular technology now a days. The drone industry is very challenging and requires synergy with multiple technologies to make it successful. Today , Drones technology is most popular technology amongst researchers and product development companies this is due to fact that since now we have wide range of controller and processors sensors, motors etc. available which can be best suited as per the military or commercial need of the application. Also the rise in demand for the application such as remote monitoring and also performing remote operations such as delivery of food, medicines etc are increasing day to day. Despite these appealing benefits, UAVs face limitations in operability due to several critical concerns in terms of flight autonomy, path planning, battery endurance, flight time and limited payload carrying capability, as intuitively it is not recommended to load heavy objects such as batteries. As a result, the primary goal of this research is to provide insights into the potentials of UAVs, as well as their characteristics and functionality issues.

The present article discuss about drones and their uses in military and commercial applications.
Also highlights on the latest technology for military and commercial application not limited to search and rescue, surveillance, traffic monitoring, weather monitoring and firefighting, personal tasks, security and news reporting.

Keywords: Drone, Technology, Unmanned Aerial Vehicle (UAV), GPS, Robot Operating System (ROS)1)

Abstract: Job sequencing problems aim to find an optimal sequence of jobs, are fundamental in production and operations management. The optimal sequence helps to minimize objectives such as makespan, total tardiness, or flow time. Fuzzy set theory is considered better over classical theory as it handles vagueness more appropriately. These days, Spherical Fuzzy Numbers (SFNs) are gaining attention of researchers due to their ability to represent membership, non-membership and hesitancy simultaneously subject to a spherical constraint. In this paper sequencing problems are introduced in which processing times are taken as SFNs and a ranking based on score function is proposed for job prioritization. The proposed method is explained with the help of illustrative example.

Keywords: Job sequencing problem, Spherical fuzzy set, Spherical fuzzy numbers, membership function, non- membership function, hesitancy, score function.