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331 articles for “Performance measures”
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Cross-layer Solutions in WSN Routing: A Review
Abstract: WSN is a less infrastructure wireless network which is embedded with large number of Sensor Nodes (SN). Its ad-hoc manner of device distribution allows it to monitor conditions under physical and environmental scenarios. Typically, SNs in WSN are installed in a specified geographical location to monitor required information. Due to SNs’ self-configuring ability, the exploitation of target is simpler. Though, its functioning is limited with factors such as energy efficiency, …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 26–36 Read article
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Evaluation of Antenna Performance using a Novel Measurement Device: Methodology and Results
Abstract: In the last decade, the field of On Chip Antennas (OCA) has experienced unprecedented growth due to the introduction of small, low-cost, low-power System-on-Chip (SoC) wireless communication devices. OCAs are superior to conventional off-chip antennas in a number of ways. They first reduce the overall size of the wireless communication system since the presence of an OCA eliminates the need for an impedance matching network between the antenna and RF …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 1, 2024 · pp. 24–29 Read article
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Experimental and Polynomial Regression Modelling of Tensile Characteristics of Hybrid Jute/Hemp Fiber Composites
Abstract: The present study aims to develop hybrid jute-hemp fiber/epoxy composites by the hand lay-up process with 60% of fiber reinforcement and 40 % of matrix ratio. To measure the change of tensile properties, prepared hybrid composites were tested for normal tensile strength and edge notch tensile (ENT) test as per the ASTM standards. Findings show that, developed composites with reported tensile strength followed by comparing it with fracture toughness. Experimentally, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 47–58 Read article
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Optimization of Surface Roughness and Material Removal Rate in Turning of Al-6061 Using Taguchi Methodology, Fuzzy Logic, and Measurement System Analysis
Abstract: The optimization of machining parameters please a crucial role in improving product quality and productivity in manufacturing processes. This study focuses on the turning of aluminium 6061 alloy, aiming to optimize two key performance measures: Surface Roughness and Material Removal Rate. An integrated approach combining to Taguchi methodology, fuzzy logic and measurement system analysis (MSA) is proposed to achieve this objective. Taguchi design of experiments using and L9 orthogonal array …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 Read article
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Analysis of a New Approach to Admission Call Control
Abstract: This study presents a new method of managing call admission in wireless networks using a resource reservation technique. The system under study comprises a defined number of operating devices, standby units, and technicians assigned to repair failed devices. In this method, the failure and repair of devices are assumed to follow an exponential distribution. Whenever a device fails, a standby unit replaces it to maintain seamless functionality, and the failed …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 2, 2025 · pp. 01–06 Read article
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A Comparative Study of Transfer Learning-Based Deep Learning Models for Breast Cancer Detection
Abstract: Breast cancer is a major concern in the world today, and early and accurate diagnosis is most crucial in the case of breast cancer, as it is among the disorders where the total cost of loss of life is high. Traditional screening processes are subjective and vulnerable to inter-observer reliability issues and diagnostic errors, being primarily based on manual interpretation of medical images. To address these limitations, Deep Learning (DL) …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 24–34 Read article
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Design and Implementation of an Energy-Efficient Wireless Sensor Network for Remote Monitoring
Abstract: Applications such as industrial automation, environmental monitoring, and agriculture make extensive use of wireless sensor networks, or WSNs. Since sensor nodes frequently operate in remote locations and have limited battery power, energy efficiency is the largest problem in WSN design. This paper presents an energy-efficient WSN architecture that combines optimized clustering and duty-cycling mechanisms to reduce energy consumption and increase network lifetime. The system uses low-power ESP32 nodes with Zigbee …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 1, 2026 · pp. 22–27 Read article
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A Comparative Study of Routing Protocols and Artificial Intelligence in Manets
Abstract: Decentralized networks called Mobile Ad hoc Networks (MANETs) allow mobile nodes to dynamically connect to one another without the need for fixed infrastructure. An overview of MANETs is given in this work, along with a discussion of their features, uses, and difficulties. It explores how routing protocols, such as proactive, reactive, and hybrid protocols, are categorized in MANETs and provides examples and features for each. It also examines the performance …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 1, Issue 2, 2023 · pp. 31–38 Read article
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Performance Evaluation of Lithium-Ion Batteries Considering State of Charge and State of Health for Electric Vehicle Applications
Abstract: This study aims to compare temperature-regulated and uncontrolled charging methodologies to determine the most effective approach for optimizing battery performance while minimizing charging duration. The study assesses both constant current (CC) and temperature-controlled pulse charging (TRPC) methods. The battery temperature increases in direct proportion to the applied current during CC charging and cannot be controlled in the absence of external cooling systems. Key performance measures, such as the effect on …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 15, Issue 3, 2025 · pp. 32–47 Read article
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ANN-Based Adaptive Rotor Current Control for DFIG Wind Systems: A Comparative Dynamic Analysis
Abstract: The variability of rotor current management in Doubly Fed Induction Generator (DFIG)-based wind energy conversion systems is crucial for maintaining stability in power extraction under fluctuating wind and grid circumstances. Traditional proportional-integral (PI) controllers, despite their ease of use, frequently exhibit diminished performance when faced with parameter uncertainty, nonlinear behaviors, and rapid wind fluctuations.This paper presents an adaptive rotor current control strategy, which is an Artificial Neural Network (ANN)-based approach …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 1, 2026 · pp. 41–53 Read article
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Evaluation of the Emission and Engine Operability of Biodiesel and Biodiesel Blends Produced from Alkali-Catalyzed Esterification and Transesterification of Jatropha Oil Feedstock
Abstract: This study reports on the engine performance analysis of biodiesel and blends produced from jatropha-based bio-oil feedstock via combined esterification and transesterification process, the physiochemical of the bio-oil, and subsequent biodiesel produced. Jatropha bio-oil was characterized to determine its fuel properties. A liquid phase transesterification reaction at 60 min reaction time, 50°C temperature, using a methanol-oil molar ratio of 40:1 and 0.35 g of sodium hydroxide (NaOH) catalyst was carried …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 9–21 Read article
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Analytical Investigation on Structural Optimization of Commercial Building Using Braced Frames and Masonry Diagonal Strut
Abstract: Enhancing the overall stability and structural performance of commercial buildings are important in particular regions which are prone to various seismic activity. This research emphases on enhancing the seismic performance of commercial buildings by integrating masonry diagonal struts with concentric braced frames. The main aim is to ensure structural safety of a building while also keeping the design economical and efficient. In this study high-rise buildings with 12, 16, and …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 14–23 Read article
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Thin Film Coatings for Anti-Reflective and Anti-Fogging Applications in Optical Devices
Abstract: To maximize optical device lifetime and performance, thin film coatings are crucial. Coatings with anti-reflective (AR) and anti-fogging (AF) properties are important uses that improve optical systems' usability and performance. This review covers materials, deposition methods, and performance measures, providing a thorough analysis of recent developments in AR and AF thin film technologies. The study examines several techniques, such as chemical vapor deposition (CVD), sputtering, and sol-gel procedures, for producing …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 2, 2024 · pp. 26–30 Read article
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Fuzzy C-Means Clustering for Effective Segmentation and Classification of Brain Tumors in MRI Scans
Abstract: The paper discusses the importance of detecting and classifying brain tumors via MRI for effective treatment. It proposes a framework utilizing the Fuzzy C-means clustering algorithm for segmentation, demonstrating improved performance through real dataset validation. The model is trained on a large, annotated MRI dataset to identify and classify different tumor types, enabling machine learning-based classification into benign and malignant tumors. The MATLAB-based solution automates brain tumor feature extraction, aiding …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 23–28 Read article
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Early Autism Diagnosis: Machine Learning Models and Their Effectiveness
Abstract: Diagnosis is of utmost importance for timely intervention and support. However, traditional diagnosis methods, which are based on subjective assessment, are delayed. This project explores the role that machine learning techniques might play in enhancing the accuracy and effectiveness of ASD detection. Several state-of-the-art classification algorithms were benchmarked using a dataset from Kaggle. Logistic Regression, XG Boost, Random Forest, Decision Tree, and Gradient Boosting were taken into consideration. Other performance …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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Quad-Band Notched Small Monopole Antenna with U-shaped Slots and SRRs for UWB Applications
Abstract: A quad-band notched small monopole antenna with U-shaped slots and SRRs for UWB applications is presented in this study. The quadruple band-notched characteristics can be achieved by embedding three U-shaped slots on the radiation patch and two split ring resonators (SRRs) near feed line, respectively. It has a tiny size, only 17 mm23 mm0.508 mm. The experimental and measured results demonstrate that the proposed antenna offers an impedance bandwidth across …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 1, 2025 · pp. 21–31 Read article
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AI/ML-Based Approach to Solar Irradiance Prediction and Energy Suitability
Abstract: In this paper, due to challenges in precisely predicting solar irradiance, which is essential for solar power system optimization, we employed six diverse machine learning (ML) techniques: Linear Regression, Decision Tree, Random Forest, Gradient Boosting methods (including XGBoost), and Neural Networks—to analyze and predict outcomes using a dataset containing meteorological and temporal features. Key variables include wind speed, humidity, and temperature, which significantly influence the model’s predictive capability. Each method …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 3, 2025 · pp. 36–48 Read article
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Aluminium-Doped Zinc Ferrite Nanoparticles Synthesized by Combustion Method for Polymer Composite Applications
Abstract: ZnFe₂₋xAlₓO₄ (x = 0 and 0.5) nanoparticles were synthesized via a combustion method owing to its simplicity, cost efficiency, and ability to produce highly crystalline nanomaterials. Powder X-ray diffraction (XRD) analysis confirmed the formation of a single-phase cubic spinel structure without detectable secondary phases, indicating high phase purity. The average crystallite size was estimated to be in the range of 14–20 nm, confirming the nanocrystalline nature of the samples. Field-emission …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 272–282 Read article
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Modeling of MHD Hybrid Nanofluid Flow with Radiation and Chemical Reaction Effects for Advanced Composite and Energy Applications
Abstract: Hybrid nanofluids reinforced with polymer-based matrices and nanoparticles have emerged as promising working fluids for advanced composite processing and thermal management systems. Their superior thermo-physical properties enable efficient cooling and energy transport, making them suitable for applications in polymer extrusion, composite curing, thermal insulation coatings, solar energy devices, electronic packaging, and nuclear system cooling. In this study, we investigate the heat and mass transfer behavior of magnetohydrodynamic (MHD) hybrid nanofluid …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 648–660 Read article
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A Secure Storage Model with Authentication and Optimal Key Generation Based Encryption
Abstract: In digital forensics, ensuring the secure storage of digital evidence is crucial. This paper introduces a new method that uses advanced encryption and key generation techniques to protect digital evidence throughout an investigation. Cloud forensics, a modern approach to digital forensics, aims to safeguard evidence from online hacking. However, storing all evidence in one central location can reduce its reliability. To address this, we propose a digital forensics architecture for …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 7–13 Read article