Search
2000 articles for “SP” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Strategy and Simulation of Smart Prepaid-PostpaidElectricity Meter with Alarm and Anti-Theft Controller
Abstract: Prepaid electricity meters with electrical protection generally control internal electricity and external electricity theft as whole electricity. Internal electricity theft occurs after the electrical energy is captured by the meter, while external electricity theft occurs before the electrical power reaches the meter. The percentage of electricity revenue was lost due to electricity theft and mismanagement. However, most of these losses are due to electricity theft. Illegal electricity use must be …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 12–23 Read article
-
Health Monitoring System for Fault Identification on Centrifugal Pump Using ML
Abstract: Centrifugal pumps are crucial equipment widely used in various industries, and their reliable operation is essential for maintaining production and preventing costly downtimes. This paper proposes a comprehensive health monitoring system for centrifugal pumps that combines model-driven and data- driven approaches, leveraging artificial intelligence (AI) and machine learning (ML) techniques. The system incorporates demand prediction using artificial neural networks and fault diagnosis employing different ML classifiers, such as decision trees …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 2, 2024 · pp. 1–12 Read article
-
Heavy Metals in Soil and Their Impact on Plant Health: A Contamination Study
Abstract: This study investigates heavy metal uptake, tolerance, and sequestration mechanisms in various plants, focusing on crops such as tea, vegetables, and fruit trees that are susceptible to heavy metal contamination. Trace elements in plants, if overabundant, pose toxicity risks by disrupting metabolic and physiological functions. Plants counteract heavy metal complexes by immobilizing them within cell walls or vacuoles or by binding them to organic compounds produced in situ. Elevated levels …
Published in International Journal of Agrochemistry · Vol. 10, Issue 2, 2024 Read article
-
Optimized Fault Current Prediction for DFIG-Based Wind Turbines Using Type-I Fuzzy Logic Controller
Abstract: The increasing integration of Doubly-Fed Induction Generator (DFIG)-based wind turbines into modern power grids requires robust fault detection and prediction mechanisms to ensure stable and reliable operation. However, accurately predicting fault currents in such systems is challenging due to the nonlinear dynamics involved. This study presents an optimized fault current prediction framework using a Type-I Fuzzy Logic Controller (FLC) to address these challenges. The proposed approach effectively models the uncertainties …
Published in International Journal of Analog Integrated Circuits · Vol. 10, Issue 2, 2024 · pp. 41–50 Read article
-
Design and Analysis of Metal-Organic Frameworks for Gas Adsorption and Storage
Abstract: Metal-Organic Frameworks (MOFs) represent a class of highly porous materials formed by the coordination of metal ions with organic linkers, exhibiting exceptional potential for gas storage applications due to their high surface area, tunable pore sizes, and structural versatility. The synthesis and characterization of MOFs intended for the effective storage of gases like carbon dioxide, methane, and hydrogen are the main topics of this work. Solvothermal Hectic strategies, including solvothermal, …
Published in International Journal of Metallurgy and Alloys · Vol. 10, Issue 1, 2024 · pp. 25–30 Read article
-
Data Compression in Backbone Network
Abstract: In the realm of modern computing and extensive data transmission, the efficient management of network resources is paramount. This paper introduces a novel approach, a data compression system meticulously designed backbone network. The proposed system aims to streamline data compression, significantly curbing network b and width demands, and thereby enhancing network performance. Tailored to the unique requisites and limitations of backbone network environments, the solution optimally balances compression ratios and …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
-
Automatic Vehicle Accident Detection and Reporting with a Blackbox
Abstract: The development and deployment of digital driving technology for a semi-autonomous vehicle is the main goal of this project. Enhancing the driver-vehicle interaction and adding black box functionality are the objectives. The system utilizes an Arduino-based data acquisition system, converting analog control data to digital format and displaying it on an LCD. Communication occurs via embedded networking using the CAN protocol, ensuring efficient data transfer. The system also collects feedback …
Published in International Journal of Analog Integrated Circuits · Vol. 10, Issue 2, 2024 · pp. 21–30 Read article
-
IoT based Crop Yield Prediction System using Arduino
Abstract: India is known as an agriculture country, where most villagers have agriculture as a main income source. Agriculture plays a vital role in the Indian economy. India has over 16% GDP based on agriculture. The production of various crops cultivated in India has its own role in the economy as importation and exportation is also important for India’s GDP. As we are progressing through this time, so called ‘progress’; is …
Published in International Journal of Analog Integrated Circuits · Vol. 10, Issue 2, 2024 · pp. 1–10 Read article
-
Serverless Computing: The Evolution of Cloud Infrastructure
Abstract: A form of cloud computing known as serverless computing has brought about a change in the way cloud development and deployment are carried out. An era that is now known as “post-container” has been brought about because of a new idea that has developed from cloud computing. Software developers can devote their attention to building code and business logic rather than managing infrastructure when they use serverless computing. Serverless computing …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 48–60 Read article
-
A Hybrid Approach to Secure Cloud Storage: Machine Learning and Blockchain Integration
Abstract: With the rapid adoption of cloud computing across industries, securing cloud storage has become a paramount concern for organizations that rely on cloud-based systems to manage sensitive data. Traditional security approaches often struggle with the complex and evolving nature of cyber threats, leading to vulnerabilities that malicious actors can exploit. In response to these challenges, this paper proposes a hybrid approach that integrates machine learning and blockchain technologies to create …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 35–47 Read article
-
Kashi Vishvanatha Kshetra in Historic Context, a Narrative landscape in Varanasi, India
Abstract: Abstract This essay describes how the Kashi Visvanatha temple and its holy grounds have changed since they were first mentioned in the sixth century BCE. The patron deity of Varanasi, Vishvanatha, also known as Vishveshvara, is a manifestation of Shiva, who is considered the Lord of the World (also called Kashi/Banaras). The temple faced destruction, demolition, reconstruction, contestation, and recent resurrection in its history spanning more than a millennium. In …
Published in International Journal of Architectural Heritage · Vol. 7, Issue 2, 2024 · pp. 1–18 Read article
-
Enhancing Network Alarm Handling Efficiency: An Improved Apriori Algorithm with FCM Approach
Abstract: Network alarm systems generate large volumes of alarms, often resulting in redundant or irrelevant data that complicates efficient fault detection and resolution. This paper presents an enhanced approach to network alarm handling by integrating the Apriori algorithm with the Fuzzy C-Means (FCM) clustering method. The Apriori algorithm is used to uncover frequent alarm patterns, while FCM addresses the complexity of overlapping alarm data, enabling the association of alarms with varying …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
-
A Simplified Review on Cloud Computing Security Vulnerabilities
Abstract: Cloud computing is the joint source of the computer system resources that are verily configured as well as the high-level services that can be delivered via the internet with minimal effort of the respective administrator. However, these advantages along with the security concerns are also quite prevalent. It is very important for the customers to know the risks and vulnerabilities in cloud services that might exist while considering counter measures …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 26–34 Read article
-
Predictive Analytics in E-Learning: Enhancing Student Performance Through Machine Learning Models
Abstract: With the explosion of electronic devices and internet technologies in today’s world, the amount of data we store has grown massively. Data is simply information that has been organized in a way that makes it easy to share or work with. A potent technology that enables computers to learn from data without direct programming is machine learning, which we employ in our research. The focus of this study is on …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
-
Ethereum Price Prediction Using Extra Trees and Random Forest Regressors
Abstract: The Ethereum market is famous for its unpredictability and the possibility of significant profits, presenting both opportunities and obstacles for investors and stakeholders. Given the dynamic nature of this ecosystem, accurate prediction of Ethereum’s price movements is essential for informed decision-making. In this project, we propose an innovative approach that leverages ensemble learning techniques, specifically extra trees and random forest regressors, for Ethereum price prediction. By harnessing a diverse dataset …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 9–25 Read article
-
Efficiency Improvements in Long-Distance Wireless Power Transmission
Abstract: The quest for efficient and flexible energy transfer has given rise to Wireless Power Transmission (WPT) technology, which allows the transmission of electrical energy from power source to consuming device deprived of physical connectors. This transformative technology has garnered significant responsiveness due to its possible applications across various domains, including consumer electronics, electric vehicles, medical devices, and industrial systems. With advancements in resonant inductive coupling, microwave transmission, and laser-based systems, …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 1, 2024 Read article
-
Nanosensors in Agriculture Field: A Study
Abstract: The agricultural sector faces numerous challenges, including the need for increased productivity, concentrated environmental influence, and improved food security due to a growing global population. Traditional agricultural practices frequently fall short in addressing these issues, foremost due to suboptimal crop yields and inefficient resource management. One of the pressing problems is the difficulty in real-time monitoring of soil health, plant growth, and pest infestations, which can impede timely decision-making and …
Published in International Journal of Applied Nanotechnology · Vol. 10, Issue 2, 2024 · pp. 12–22 Read article
-
Exploring the Role of Nanotechnology in Battlefield Welfare: A Comprehensive Study Review
Abstract: The increasing interest in nanotechnology and its diverse applications has resulted in significant advancements across multiple fields, including medicine, materials science, and energy. The study encapsulated in the review titled “Exploring the Role of Nanotechnology in Battlefield Welfare: A Comprehensive Study Review” offers a timely and essential discussion on how these innovations can transform battlefield conditions and enhance the welfare of military personnel. The review is comprehensive, weaving together a …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 10, Issue 2, 2024 · pp. 43–53 Read article
-
ANALYSIS OF LATERAL PLACEMENT AND OVERTAKING BEHAVIOR OF VEHICLES
Abstract: The present research work analyzes the overtaking behavior and lateral placement of motorized vehicles under heterogeneous traffic conditions. The data for the present research work was collected at two four-lane divided highway sections. Video recording was done to collect lateral placement data and overtaking behavior of vehicles was observed using moving car method. The lateral placement data was tried to fit with normal distribution. But the study found that, it …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 10, Issue 2, 2024 · pp. 9–14 Read article
-
Advancing Early Detection of Menkes Disease Through Image Analysis and Biosensor Integration
Abstract: Menkes disease, a rare X-linked recessive disorder of copper metabolism, poses significant challenges in early diagnosis due to its nonspecific initial symptoms. This paper presents a comprehensive approach to enhance the early detection of Menkes disease by leveraging image processing techniques, pattern recognition algorithms, and innovative biosensor technologies. A novel framework is proposed that combines analysis of hair microscopy images, facial feature recognition, and copper-sensitive biosensors to create a multi-modal …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 24–34 Read article