Volume 8 Issue 4 October-December 2020
CPU CABINET HEAT FINS THERMAL ANALYSIS BY USING ANSYS SOFTWARE pp [01-05]
Country- INDIA
Kumar Avishek, Sharma Manish
Abstract – The present work investigates the numerical simulation of thermal analysis of mixed convection air flow in a CPU Cabinet. The simulation is focused on the non-uniformly heated mother board temperature distribution. In this modern world speed determines everything especially desktop PC, CPU have been popular. The computer revolution is growing rapidly in almost every field. CPU is the electronic components, which produces a lot of heat that reduces the performance. In this study the forced convection cooling of heat sinks mounted on CPU are investigated. The design is based total chassis power dissipation. This represents significant power dissipation for the chassis components (Main processor…
ARTIFICIAL NEURAL NETWORK BASED SOFT-STARTER FOR INDUCTION MOTOR – A REVIEW[pp 06-10]
Country- INDIA
Soni Aaradhna
Abstract—The necessity of soft-starter is increasing day by day to reduce the starting current & to maintain the torque smoothly according to the load requirement. Now intelligent soft-starter is developed to improve the performance of conventional starter. This paper focused on the designing of an artificial neural network controlled soft-starter .Back-propagation algorithm is used as learning algorithm in the artificial neural network. Error correcting capability of this learning algorithm makes it more suitable to use in neural….
CREDIT THREAT ESTIMATION BY MACHINE LEARNING TECHNIQUES OVER CLOUD PLATFORM [pp 11-16]
Country- INDIA
Kachhwaha Upendra Kumar, Shrivastava Anurag
Abstract – Banks and financial organizations are really facing the challenge of identifying Threat factors, which should be considered while advancing the loans/credit to customers. An Ensemble ML algorithm is suitable for studying bank credit dataset. In future, we intend to build up a ML system risk automated system over cloud for financial organizations that will incorporate key features to determine credit value of…
PERFORMANCE OF GRID INTEGRATED WIND ENERGY CONVERSION SYSTEM: AN INVESTIGATION [PP 17-23]
Country- EGYPT
Draz Medhat, Ronxguan D.
Abstract – Increased awareness towards environmental concern has led towards the efforts made to reduce harmful effects of conventional means of electricity generation on environment and to generate electricity from the renewable energy sources like wind and solar. Generation of electricity from wind energy is associated with the advantage of non-ending wind resource devoid of harmful emission….
Strategic Placement of Servers in Mobile Cloud Computing: A Comprehensive Exploration of Edge Computing, Fog Computing, and Cloudlet Technologies [PP 24-28]
Country- INDIA
Dr. Sajeeda Parveen Shaik
Abstract – Mobile Cloud Computing (MCC) has become integral to the advancement of mobile applications, necessitating strategic server placement for optimized performance. This review article explores three pivotal technologies—Edge Computing, Fog Computing, and Cloudlet Technologies—aimed at addressing the challenges posed by traditional cloud-centric models in MCC environments. The paper provides a thorough analysis of each approach, elucidating their architectural principles, benefits, and applications. Edge Computing’s proximity to end-users, Fog Computing’s intermediary role, and the localized Cloudlet Technologies are scrutinized. A comparative analysis offers insights into their strengths and limitations, aiding in determining their suitability based on diverse use cases. Real-world applications showcase the transformative impact of these technologies in enhancing mobile experiences across sectors such as healthcare, gaming, and more. The review concludes with a discussion on the challenges inherent in each strategy and proposes future research directions. This comprehensive exploration serves as a valuable resource for researchers, practitioners, and decision-makers navigating the dynamic landscape of strategic server placement in MCC, contributing to the optimization of performance and user experience in mobile applications and services.
Enhancing Security through Dynamic Analysis in Embedded Android Systems [PP 29-35]
Country- INDIA
Venkat Nutalapati
Abstract – The proliferation of Android-based embedded systems across diverse applications—from automotive infotainment units to medical devices—has introduced complex security challenges. As these systems become integral to everyday technology, ensuring their robustness against security threats is paramount. Dynamic analysis emerges as a critical technique for addressing these concerns, enabling real-time assessment of system behavior and detection of vulnerabilities that static analysis may miss. This paper explores the role of dynamic analysis in enhancing the security of embedded Android….
The Impact of Distributed Cloud Systems on Financial Market Predictions and Algorithmic Trading [PP 36-44]
Country- INDIA
Pavan Nutalapati
Abstract – The integration of distributed cloud systems into the financial sector has profoundly revolutionized financial market predictions and algorithmic trading practices. This paper extensively reviews the transformative impact of distributed cloud technologies on these areas, emphasizing their critical contributions to enhancing computational power, minimizing latency, and optimizing data management processes. Distributed cloud systems offer substantial benefits by enabling the efficient processing of vast volumes of financial data, which supports the development and deployment of advanced machine learning models and sophisticated big data analytics. These technologies are pivotal for generating precise market forecasts and facilitating real-time decision-making.