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259 articles for “SR method”
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Reinforcement Layout Optimization of RCC Beam using Firefly Algorithm
Abstract: The optimization of layout design of steel in the domain of concrete has been an interesting topic during the last few years. The main focus of this study is to make an attempt to determine the optimal layout of steel in the concrete domain using metaheuristic algorithms. In this study, firefly algorithm is used. Two different approaches have been studied and the merits and demerits have been put forward. The …
Published in Recent Trends in Civil Engineering & Technology · Vol. 7, Issue 2, 2017 · pp. 28–35 Read article
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Enhancements in Titanium Matrix Composites: A Multifaceted Exploration of Various Structural Ceramics Reinforcement
Abstract: This research study delves into the comprehensive exploration of Titanium Matrix Composites (TMCs) reinforced with Silicon Carbide (SiC), Alumina (Al2O3), and Boron Nitride (BN). The investigation is structured into three key phases, each addressing essential aspects of TMCs: Phase 1 involves materials and manufacturing, where TMC coupons were fabricated through the stir casting technique with varying compositions of aluminum and silicon carbide. Phase 2 focuses on characterization and defect detection, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 83–94 Read article
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Effect of Process Parameters of Pulsed Current Micro Plasma Arc Welding on Weld Pool Geometry of AISI 304L Stainless Steel Sheets
Abstract: AISI 304L stainless steel is an austenitic Chromium-Nickel stainless steel offering an optimum combination of corrosion resistance, strength, and ductility. These attributes make it a favorite for many mechanical components. The low carbon content reduces susceptibility to carbide precipitation during welding. The effects of pulsing current parameters on weld pool geometry namely front width, back width, front height, and back height of pulsed current micro plasma arc-welded AISI 304L stainless …
Published in Journal of Materials & Metallurgical Engineering · Vol. 2, Issue 1-3, 2012 · pp. 105–116 Read article
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A New Effective MUSIC Algorithm for Direction of Arrival Estimation and Combining It with Beam Forming in Smart Antenna Systems
Abstract: ABSTRACT Smart antenna is now commonly used in communication systems due to its high advantages. Two important functions in smart antenna are direction of arrival estimation and beam forming. The main aim of direction of arrival estimation in smart antenna is to estimate the direction of the signal and based on this angle the beam forming will identify the exact position and phase angle of the antenna. Here we proposed …
Published in Journal of Communication Engineering & Systems · Vol. 2, Issue 2, 2012 · pp. 1–6 Read article
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A Review- Recent Outbreak of Zika Viruses in India, its Vectorology and Virology
Abstract: Zika virus is an arbovirus (arthropod-borne virus) which belongs to the family Flaviviridae that was first isolated in 1947 from blood of a febrile rhesus macaque monkey during a yellow fever study in the Zika forest of Uganda and later identified in Aedes africanus mosquito from the same forest. But in 2007, the first major outbreak of Zika virus infection occurred in Yap Island (Federated States of Micronesia), where, it …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 9, Issue 2, 2019 · pp. 25–33 Read article
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Productivity of Hydraulically Fractured Calcite Rich Shale Reservoirs Enhanced by Acid
Abstract: The current low oil prices have highlighted the need for enhancement to current production from shale formations. Prolonging the production life and increasing productivity of the fracture network in the shale plays can be a way to improve the economics. Many shale wells, drilled and completed based on current completion strategies, show sharp decline after initial flash production. One of the reasons behind this can be attributed to closure of …
Published in Journal of Petroleum Engineering & Technology · Vol. 6, Issue 1, 2016 · pp. 54–68 Read article
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Methodologies for Functional Testing of 4G User Equipment in Laboratory Environment
Abstract: Long Term Evolution (LTE) or 4G is the current mobile communication standard which has a pivotal role in our communication industry. All the LTE wireless terminals must pass the Radio resource Management (RRM) conformance and functionality testing before the product is to be released into market. This study reports the performance of functional testing with different test cases in laboratory environment. Each test case has been executed and responses have …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 7, Issue 3, 2020 · pp. 10–16 Read article
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Evaluation of Heat Stress Exposure to Occupational Workers at Workplace
Abstract: Heat stress is considered as an occupational health hazard encountered in indoor as well as outdoor environments. In industries, many operations are carried out which involve either heat generating sources like boiler, furnace, dryers etc. or hot operations like welding, melting, glass blowing and pouring. Moreover, the extremes of temperature in summer also add to the level of exposure to heat stress. Exposure of occupational workers to heat stress can …
Published in Journal of Industrial Safety Engineering Read article
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Role of Reinforcement Learning in Improvement of Semiconductor Doping
Abstract: The semiconductor industry faces increasing challenges in achieving optimal doping profiles as device dimensions shrink and performance requirements intensify. Traditional doping optimization methods, while effective, often struggle with the complex, multi-dimensional parameter spaces characteristic of modern semiconductor manufacturing. This study explores the transformative role of reinforcement learning (RL) in improving semiconductor doping processes, examining how RL algorithms can autonomously optimize doping parameters to enhance device performance, reduce manufacturing costs, and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 2, 2025 · pp. 23–34 Read article
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PSO-DFFP Technique Used for Optimal Network Reconfiguration with Dispersed Generation
Abstract: Dispersed Generation and Network Reconfiguration have been generally engaged to maintain voltage level with permissible limit and decrease the energy losses in the Distribution Systems. In this article, a Partial Swarm Optimization with Distinctive Feed Forward Propagation (PSO-DFFP) controller is developed to minimize the power losses in Dispersed Generation and network reconfiguration. Different scenarios are used to analyze the performance of developed method. The designed and developed method is effectively …
Published in Journal of Control & Instrumentation · Vol. 13, Issue 2, 2022 · pp. 1–8 Read article
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Threat Detection on Linux Systems Using OSquery
Abstract: We have made an EDR tool for Linux Systems using Facebook open-source project OSquery. Making our own EDR tool rather than using a commercial EDR tool helps us gain knowledge about the platform and the security aspect of the platform and gives us the capabilities to detect and investigate security events. In our method, we are collecting the logs on the central server and then we are using these logs …
Published in Journal of Advances in Shell Programming Read article
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Discernment of Parkinson’s disease using Machine learning
Abstract: Parkinson’s disease is one of the most common neurological disorders in the world that is caused when the cells in the brain that are responsible for the creation of dopamine breakdown and as a result less dopamine is produced .The cells in the brain that create dopamine are in charge of movement regulation, adaptability, and fluency. Since researchers believe that the disease starts developing many years before the motor (movement-related) …
Published in Journal of Microcontroller Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 14–19 Read article
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A Linear Regression Model Used to Analysis the Tesla Stock Price Prediction Using Machine Learning
Abstract: The stock market is a fascinating sector of the economic research. It comes in a number of varieties. Several specialists have been examining and investigating the several patterns that the stock market experiences fluctuations. Predicting the stock values of different companies using historical data has been one of the primary research projects. Stock price prediction can help people a great deal by helping them understand where and how to invest, …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 2, 2024 · pp. 8–13 Read article
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Parametric Optimization of Biocompatible Ti6AL4V Alloy on Selective Laser Melting for Enhanced Structural Support and Reduced Stress Shielding
Abstract: The Selective Laser Melting technique is widely employed in the production of complexly shaped end products for a range of industries, including biomedical, aerospace, automotive, and defence. SLM is a complicated manufacturing process since a lot of factors influence the characteristics of the items that are printed using it. The SLM printing of fully dense parts is becoming more and more popular for various high-end applications. Because of their biocompatibility …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 143–156 Read article
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Quasi-Sobol-Based Optimization and Sigmoid Fuzzy Logic for Efficient Task Clustering in Decentralized Edge-Cloud Architectures
Abstract: Decentralized edge-cloud systems face a lot of issues in efficient task clustering, resource allocation, and real-time decision-making. Conventional methods mostly fail to work well under dynamic workloads and uncertain conditions. This study intends to optimize task clustering through quasi-Sobol-based optimization and Sigmoid Fuzzy Logic for resource allocation, enhancing decision-making accuracy and achieving efficiency in the system at the edge-cloud environment. A hybrid technique that has incorporated optimization via Quasi-Sobol sequences …
Published in Trends in Machine design · Vol. 12, Issue 2, 2025 · pp. 9–18 Read article
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Analyzing the Role of Fiber Composition in Drying Behavior: A Comparative and Predictive Approach
Abstract: This research presents a comprehensive analysis of the drying behavior and thermal response of three distinct fabric types: 100% Cotton, 100% Polyester, and a Polyester blend (65/35), under meticulously controlled environmental conditions. The Polyester blend (65/35) consists of 65% Polyester and 35% Cotton, combining characteristics of both fibers. The investigation focuses on understanding how fiber composition impacts drying time, moisture retention, and thermal characteristics. Experimental trials were conducted using standardized …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 1–11 Read article
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Autism Spectrum Disorder Prediction Using Classification Techniques: A Comparative Analysis
Abstract: Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder marked by difficulties in social interaction, communication, and repetitive behaviors. Identifying and addressing ASD early is essential for enhancing the quality of life for those affected. Data mining techniques have emerged as powerful tools in analyzing large datasets to predict and diagnose ASD, aiding in early identification and intervention. This article presents a comprehensive comparative analysis of classification techniques employed in …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 66–71 Read article
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Parallel Greedy Approach for Phylogenetic Tree Construction in the Context of Marine Species
Abstract: The rebuilding of phylogenetic trees for marine species shows major computing problems because of the massive genomic data and the huge biodiversity inherent in ocean ecosystems. Traditional phylogenetic methods are accurate but become more expensive when they are processing with thousands of marine taxa parallelly. This article shows a critical analysis of parallel greedy algorithms as an adaptable solution for large-scale marine phylogenetics. It examines the main principles of greedy …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 33–45 Read article
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Voltage Sag and Swell Compensation Using DVR Based on Asymmetrical Cascade Multicell Converter
Abstract: Dynamic voltage restorer (DVR) is a device which is used to compensate the voltage sags and swells for the protection of sensitive loads. The compensation is done by use of a converter, in this paper DVR configuration is based on asymmetrical cascade multicell converter. One of the main advantages of asymmetrical cascade multicell is increase in the number of output voltage levels with reduced number of switches. 15 level asymmetrical …
Published in Journal of Microelectronics and Solid State Devices · Vol. 3, Issue 2, 2016 · pp. 23–26 Read article
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Vibration Analysis of Functionally Graded Piezoelectric Actuators: A Comprehensive Review
Abstract: Recent research has been concentrated on a thorough investigation of the vibration evaluation of functionally graded piezoelectric materials (FGPM), shedding light on the potential for enhancing structural optimization and controlling deflections and vibrations. Functionally graded piezoelectric material is a type of advanced composite material possessing diverse characteristics that allow for customized mechanical and electrical responses. The existing body of academic work extensively addresses the vibration analysis of functionally graded piezoelectric …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 426–440 Read article