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1306 articles for “performance parameters”
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A Review on Recent Trends and Challenges in Micromachining and Machinability of Ti-6Al-4V
Abstract: Based on several literature examinations from past decades, it is clearly observed that limited research has been done till date concerning to micromachining and had a partial understanding of it with focus on miniaturized parts. This article presents a complete comprehensive review on machining process at micro level with attention in drilling for work horse of titanium alloys. The Ti and its alloys are the most attractive materials due to …
Published in Trends in Mechanical Engineering & Technology · Vol. 9, Issue 1, 2019 · pp. 7–31 Read article
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Thermal Analysis of Kirloskar VCR Engines Using Blended Biodiesels under Varying Loads
Abstract: The increasing demand for sustainable energy has prompted much research into environment-friendly substitutes for traditional fossil fuels. In this study, the thermal performance and emission characteristics of Kirloskar Variable Compression Ratio (VCR) diesel engines evaluated with varying load conditions using biodiesel-sourced oil blended with soybean oil are discussed. B0 (pure diesel) to B100 (pure biodiesel) blends were considered for the study to assess their effects on parameters, like brake thermal …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 1, 2025 · pp. 19–34 Read article
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Wearable Devices Incorporating Nanostructured Biosensors: Enabling Real-Time Monitoring and User-Friendly Interfaces
Abstract: Wearable devices incorporating nanostructured biosensors have emerged as a revolutionary technology, enabling real-time monitoring of various physiological parameters and biomarkers. These devices leverage the unique properties of nanostructured materials, such as high surface-to-volume ratio, enhanced sensitivity, and improved electrical and optical characteristics, to achieve exceptional performance in terms of sensitivity, selectivity, and response time. This chapter explores the recent advancements in wearable devices with nanostructured biosensors, highlighting their applications in …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 1, 2024 · pp. 13–21 Read article
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Optimized Machine Learning Framework for Battery State Prediction in Smart Charging Systems
Abstract: Good estimation of battery states, including State-of-Charge (SoC), State-of-Health (SoH), and Remaining Useful Life (RUL), are important in managing energy wisely and controlling the adaptive charging. This work introduces a streamlined machine learning model based on the ability to use multi-dimensional sensor measurements in terms of voltage, current, temperature, and cycle number to forecast battery conditions with high accuracy. Decent preprocessing, such as noise elimination, feature scaling, and calculated features, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 55–66 Read article
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Enhancement of Horizontal Jet Impingement Heat Transfer Analysis on Vertical Flat Plate
Abstract: This research investigates the heat transfer characteristics and heat flux distribution associated with parallel jet impingement on a vertical flat plate. A comprehensive computational fluid dynamics (CFD) analysis is carried out and systematically validated against available experimental data to ensure the accuracy and reliability of the numerical model. The jet length is maintained constant at 12 mm, while the jet-to-plate separation distance is varied at 6, 12, 18, and 24 …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 1, 2026 · pp. 65–80 Read article
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ML Analysis of Factors Affecting Vaccination in Rural Children: A Machine Learning Approach
Abstract: Vaccination remains one of the most effective public health interventions for preventing childhood diseases, yet rural regions in India continue to experience uneven immunization coverage due to multiple socioeconomic and geographic barriers. This research applies machine learning techniques to identify and analyze the major determinants influencing childhood vaccination uptake in rural communities. The study utilizes survey-based demographic, socioeconomic, and healthcare-related parameters to build predictive models that classify children as vaccinated …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 Read article
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Perspectives of 3D-Printed Polylactic Acid-Based Composites Reinforced with Natural Fibers
Abstract: The growing demand for sustainable and biodegradable materials has led to the development of polylactic acid (PLA)-based composites reinforced with natural fibers. This study investigates the mechanical, thermal, printability, and environmental performance of 3D-printed PLA/Natural Fiber composites, addressing key challenges in fiber-matrix compatibility, structural integrity, and biodegradability. Natural fiber reinforcement enhanced Young’s modulus and flexural strength, but excessive fiber content led to agglomeration, reduced tensile strength, and increased brittleness. Thermal …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 649–664 Read article
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PV System Performance in Variable Climatic Conditions
Abstract: This paper is focused to the study of the panel temperature operating under different climatic conditions; to this goal a detailed model has been developed to estimate the response of the panel temperature to various scenarios. The model has been designed based on energy balance, where temperature of the panel is estimated applying heat exchange processes with the environment, mainly convection and radiation, considering the effects of ambient temperature, wind …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 11, Issue 2, 2021 · pp. 11–27 Read article
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Integrate AI and IoT to Develop Sustainable Polymer Structural Materials Processing Optimization: Enabled Monitoring Strategies for Performance and Lifecycle Assessment
Abstract: The need for long-lasting structural polymer materials that are both environmentally friendly and highly mechanically effective is driving demand for these materials as the industrial sector continues to grow. Optimizing processes, saving energy, detecting faults, and monitoring structures are all hindered by conventional polymer manufacture. This study suggests an AI-IoT system for environmentally friendly production of structural polymer materials to get around these problems. Tools for evaluating system performance and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 169–192 Read article
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Fabrication, Numerical Simulation and Compact Modeling of Ph-BTBT-C10 Organic Thin Film Transistor
Abstract: Flexible and cost-effective electronics have been necessitated by the advent of organic thin-film transistors (OTFTs). This study aims to study the performance of OTFT using a 2-decyl-7-phenyl-[1]benzothieno[3,2-b][1]benzothiophene (Ph-BTBT-C10) organic semiconductor. The paper also explore accurate device modeling for technology optimization and circuit design that supports device improvement. This research includes device fabrication, numerical simulation using TCAD, compact modeling, and parameter extraction. By combining temperature-dependent bandgap narrowing with existing theories, this …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 1–18 Read article
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Polyhedral Compilation for Imperative Loops: Foundations, Advances, and Emerging Frontiers
Abstract: Polyhedral compilation is a mathematically rigorous framework that models imperative loop nests as sets of integer points constrained by affine inequalities, enabling precise reasoning about data dependences and the legality of complex program transformations. Over the past decade, this framework has evolved from an academic formalism into a practical compiler technology deployed in production compilers, high-performance computing libraries, and machine learning acceleration toolchains. This review surveys the theoretical underpinnings of …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 2, 2026 · pp. 7–15 Read article
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Performance Comparison of MANET based on Data Rate and Packet Loss using Fuzzy Logic Controller
Abstract: AbstractMobile ad-hoc networks consist of mobile nodes. These nodes do not follow any particularly topology. Now days many humans are dependent on internet for their daily chores but congestion is one of the major issues, which affect the data network. Real time multimedia applications have come into existence like audio, video etc. So, the congestion problem is also increasing. Thus, in order of control congestion, various schemes have developed. In …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 4, Issue 3, 2017 · pp. 25–33 Read article
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Optimization of Liquid Metal Nanocomposites and Biogas Addition Rate Using ANN-GA
Abstract: In this study, the liquid metal nanocomposites were investigated using artificial neural network (ANN) prediction capabilities for Compression Ignition (CI) engine performance. The independent input variables selected were load (20-100%), Liquid-metal nanocomposites Doped Rate (NDR, 0-50 ppm), and Biogas Flow Rate (BFR, 0.5-1.0 kg/h). The Central Composite Face-Centered Design (CCFCD) was used in conjunction with the selected input variables and output parameters to assist in the preparation of the Design …
Published in Journal of Polymer & Composites · Vol. 11, Issue 11, 2023 · pp. 12–27 Read article
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To analyze performance of Wind/Battery Hybrid Power System using Different MPPT Techniques
Abstract: Where traditional power generation is not feasible, renewable energy sources have become a popular alternative electrical energy source. The output of photovoltaic and wind electricity has expanded dramatically in recent years. We suggested a hybrid energy system in this study that uses both solar panels and wind turbine parameters to generate electrical power and supply it to a power grid station. Maximum power point tracking is achieved using two control …
Published in Current Trends in Signal Processing · Vol. 11, Issue 3, 2021 · pp. 15–27 Read article
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Network Monitoring Tool in Shell Programming
Abstract: Network monitoring is the systematic effort of a computer network to detect slow or failing network components such as overloaded or crashed/frozen servers, failing routers, failed switches, or other problematic devices. The network monitoring system notifies the network administrator in the event of a network failure or other outage. Network management is a subset of network monitoring. Network monitoring is typically accomplished through the use of software applications and tools. …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 4, 2023 · pp. 19–39 Read article
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Quasi-Static Thermal Stress Analysis in a Thin Circular Cylinder Due To Internal Heat Generation Under Transient Temperature Conditions
Abstract: This paper is concerned with inverse quasi-static thermal stress analysis in a thin circular cylinder due to internal heat generation under transient temperature conditions. The internal heat generation is modeled as a cylindrical surface heat source located in the annular region along the axial length of the cylinder. This source is placed concentrically inside the cylinder and begins releasing heat spontaneously at a specific point in time. The thin circular …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 2, 2025 · pp. 17–28 Read article
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Method of Analysis for Chloride Distribution in Concrete from Torrent Data
Abstract: Design w/c ratio becomes less important than achieved cover performance in the case of existing structure. Therefore, inspection data of chloride profile from some real structures do not always obey the rule of Fick’s law, suggesting the influence of a new parameter. In this study, chloride ion profiles and behavior of penetrating water for normal, fly ash and slag concrete with w/c ratio as 40, 55, and 70%, respectively, cast …
Published in Journal of Construction Engineering, Technology & Management · Vol. 4, Issue 3, 2014 · pp. 10–19 Read article
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Back-Propagation Neural Network Based Speaker Identification Under Noise Distortion
Abstract: The aim of this paper is to evaluate the performance of the proposed speaker identification system where Wiener filtering technique has been used to eliminate the background white Gaussian noises and linear discriminant analysis has been used to reduce the dimension of the speech features. Since the audio signal captures more environmental noises than other biometrics modalities, the main emphasis of this paper is to analyze the problem domains of …
Published in Trends in Electrical Engineering · Vol. 5, Issue 2, 2015 · pp. 1–6 Read article
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Estimation of Power System Stabilizer Parameters Using Swarm Intelligence Techniques to Improve Small Signal Stability of Power System
Abstract: Interconnection of the power system utilities and grids presents a formidable challenge in front of design engineers. With the interconnections, power system has emerged as a more complex and nonlinear system. In recent years, small signal stability issues have gained much importance along with the conventional transient stability issues. Transient stability of the power system can be achieved with high gain and fast acting automatic voltage regulators (AVRs). However, AVRs …
Published in Trends in Electrical Engineering · Vol. 6, Issue 2, 2016 · pp. 16–25 Read article
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Review and Analyze Low Cross Polarized Feed for Offset Parabolic Reflector Antenna for S-Band Application
Abstract: This study discusses the design of low cross polarized feed for offset parabolic reflector antenna and its application. Conical corrugated horn antenna consists of an input mode TE11 and the corrugation part requires a transition to HE11 mode for propagation. The paper presents the widely used design of TE11-HE11 mode converter i.e. Variable slot mode converter. Three different design of corrugated horn antenna is presented for optimizing the value of …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 3, 2018 · pp. 30–36 Read article