This study focuses on providing simulation results and analysis of a fault-tolerant voter circuit, with a specific emphasis on the Triple Modular Redundant (TMR) system. TMR systems enhance the robustness of the voter circuit by introducing redundancy at the logic level. The proposed technique aims to minimize the area cost while ensuring multiple fault detection capability.
Wastewater especially from the chemistry laboratory contains several toxic chemicals that are harmful to the environment although the quantity of wastewater produced by the laboratory is relatively small. This study is aimed at analyzing the physicochemical parameters of wastewater collected from the chemical laboratories in Kohima Science College Jotsoma, and Model Christian College, Kohima using standard analytical procedures.
Several vehicles in tropical Africa, such as Nigeria, operate with open window, and this is expected to affect aerodynamics of the vehicles. Based on established theory, Aerodynamic drag is a major component of energy losses which limit the energy available to propel a vehicle. The goal of this study is to determine the effect of open window on the aerodynamics of a typical minibus.
Scaling of technology and increased integration density can cause parameter and noise changes, which can increase error rates at different stages of computing. Soft failures and single-event upsets are a persistent issue in memory applications. This work is primarily concerned with the design of an effective Multi Detector/Decoder (MLDD) for fault detection and fault correction in memory applications.
This work suggests a delay-efficient architecture for shift registers by replacing flip flops with pulsed latches. Using latches instead of flip flops is an excellent way to save space and power. Adding the required delays in pulses for latches helps mitigate the timing issue they display. Included in this is a delay-generating pulse counter. The delays can be obtained simply adding one to the counter. The proposed kogge stone architecture generates several deviations from the standard adder design while simultaneously minimizing delay to the greatest possible extent.
Legacy systems, the cornerstones of many organizations for decades, are increasingly becoming liabilities in the face of evolving technologies and security threats. Modernization, the process of updating these systems, offers a path towards enhanced functionality, security, and efficiency. However, this transformation is not without its costs. This article delves into the complexities of cost-benefit analysis (CBA) for legacy system modernization.
Over the last few years, personal health monitoring wearable devices have emerged as innovative applications of Artificial Intelligence (AI) in the healthcare industry as they help in real time analysis and prediction of health standardized check-ups and health management. To navigate through the current trends, new technologies and developments, the prospects are as follows: The article also gives a logical look at the state of the art of such devices, enumerating the advantages and drawbacks, as well as outlining the main ethical issues.
This study presents a comprehensive review of ethical considerations and emerging trends in AI-based recruitment practices. With the proliferation of artificial intelligence (AI) technologies in the recruitment landscape, organizations face both opportunities and challenges in leveraging these tools to enhance their talent acquisition processes. The study critically analyzes the potential benefits and drawbacks of AI in recruitment, drawing on a systematic literature review encompassing academic journals, industry reports, and case studies.
In recent years, the proliferation of wireless networks and the increasing demand for efficient data transmission have underscored the need for advanced optimization techniques. Machine learning (ML) has emerged as a transformative tool in enhancing the performance and reliability of wireless networks. This paper explores the application of machine learning algorithms to optimize data flow and connectivity in wireless networks.
Effective Error Detection in VLSI Circuits Using ComparatorsM.Vinoka, Dr.S.Durairaj
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This study focuses on providing simulation results and analysis of a fault-tolerant voter circuit, with a specific emphasis on the Triple Modular Redundant (TMR) system. TMR systems enhance the robustness of the voter circuit by introducing redundancy at the logic level. The proposed technique aims to minimize the area cost while ensuring multiple fault detection capability.
Physico-Chemical Analysis of Wastewater Samples Collected From the Chemistry Laboratory at Kohima Science College,
Jotsoma and Model Christian College Kohima Vineinu Rhetso, A Chubarenla, Nikili K Zhimo, Neilanuo Huozha, Henwau Hentokhu, Daniel Kibami
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Wastewater especially from the chemistry laboratory contains several toxic chemicals that are harmful to the environment although the quantity of wastewater produced by the laboratory is relatively small. This study is aimed at analyzing the physicochemical parameters of wastewater collected from the chemical laboratories in Kohima Science College Jotsoma, and Model Christian College, Kohima using standard analytical procedures.
Aerodynamic Study of Minibus in Open and Closed Window ScenariosOlusola Oloruntoba, Oluwasanmi Alonge,
Ojotu Joseph, Oluranti Abiola
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Several vehicles in tropical Africa, such as Nigeria, operate with open window, and this is expected to affect aerodynamics of the vehicles. Based on established theory, Aerodynamic drag is a major component of energy losses which limit the energy available to propel a vehicle. The goal of this study is to determine the effect of open window on the aerodynamics of a typical minibus.
LDPC Decoders for the Design and Implementation of High Performance and Low Cost TechniquesSyamsuddin Millang, Siti Nuraeni
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Scaling of technology and increased integration density can cause parameter and noise changes, which can increase error rates at different stages of computing. Soft failures and single-event upsets are a persistent issue in memory applications. This work is primarily concerned with the design of an effective Multi Detector/Decoder (MLDD) for fault detection and fault correction in memory applications.
Using a Kogge Stone Adder to Create Low-Area-Delay Pulsed Latches for a Shift RegisterIng. Liviu Gise
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This work suggests a delay-efficient architecture for shift registers by replacing flip flops with pulsed latches. Using latches instead of flip flops is an excellent way to save space and power. Adding the required delays in pulses for latches helps mitigate the timing issue they display. Included in this is a delay-generating pulse counter. The delays can be obtained simply adding one to the counter. The proposed kogge stone architecture generates several deviations from the standard adder design while simultaneously minimizing delay to the greatest possible extent.
Cost-Benefit Analysis of Legacy System Modernization: A Critical Evaluation for Informed Decision-MakingVijayasekhar Duvvur
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Legacy systems, the cornerstones of many organizations for decades, are increasingly becoming liabilities in the face of evolving technologies and security threats. Modernization, the process of updating these systems, offers a path towards enhanced functionality, security, and efficiency. However, this transformation is not without its costs. This article delves into the complexities of cost-benefit analysis (CBA) for legacy system modernization.
AI-Driven Personal Health Monitoring Devices: Trends and Future DirectionsNaga Ramesh Palakurti
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Over the last few years, personal health monitoring wearable devices have emerged as innovative applications of Artificial Intelligence (AI) in the healthcare industry as they help in real time analysis and prediction of health standardized check-ups and health management. To navigate through the current trends, new technologies and developments, the prospects are as follows: The article also gives a logical look at the state of the art of such devices, enumerating the advantages and drawbacks, as well as outlining the main ethical issues.
An Analytical Review of Contemporary AI-Driven Hiring Strategies in Professional ServicesAmit Mangal
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This study presents a comprehensive review of ethical considerations and emerging trends in AI-based recruitment practices. With the proliferation of artificial intelligence (AI) technologies in the recruitment landscape, organizations face both opportunities and challenges in leveraging these tools to enhance their talent acquisition processes. The study critically analyzes the potential benefits and drawbacks of AI in recruitment, drawing on a systematic literature review encompassing academic journals, industry reports, and case studies.
Machine Learning in Wireless Networks: Optimizing Data Flow and ConnectivityVikram Nattamai Sankaran, Dr. M. Sivasankari,
Rakesh Thoppaen Suresh Babu
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In recent years, the proliferation of wireless networks and the increasing demand for efficient data transmission have underscored the need for advanced optimization techniques. Machine learning (ML) has emerged as a transformative tool in enhancing the performance and reliability of wireless networks. This paper explores the application of machine learning algorithms to optimize data flow and connectivity in wireless networks.