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1981 articles for “SE method” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Design And Implementation of A Smart Dustbin System Integrated With Solar Panel For Sustainable Waste Management
Abstract: India is a rapidly developing country in the world. As a growing economy it is important to manage its waste. In India on an average 64 million tons of detritus is produced which ranks 5th in the global scenario. Nowadays in many localities garbage is thrown around arbitrarily and roads are full of litter. These unplanned things cause many problems and sometimes it may cause hazardous diseases. With the potential …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 2, 2024 · pp. 1–5 Read article
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Polymers and Composites in the Design and Construction of Unmanned Aerial Vehicles: A Comprehensive Technical Review
Abstract: The emergence of Unmanned Aerial Vehicles (UAVs) over the last few years has mostly been made possible by breakthroughs in material science. This review is concerned with an overview of some of the polymers and composites that are being commonly used in drone manufacturing in recent times, especially in relation to the influence of material choice on drone performance and capability. It sheds light on the drastic change in the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 874–882 Read article
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Influence of Static Sequences on the Thermal Behavior of Eco-Friendly Pineapple/Ramie Composites
Abstract: The increasing demand for sustainable and environmentally responsible materials has driven the exploration of natural fiber-reinforced polymer composites as potential alternatives to conventional synthetic materials. Among various natural fibers, pineapple leaf fiber (PALF) and ramie fiber are notable for their complementary characteristics—PALF offers excellent insulating behavior and lightweight structure, while ramie provides high thermal stability and strength. In the field of Eco-friendly composite product manufacturing, the processing temperature holds significant …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 732–742 Read article
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A Clinical Study to Evaluate the Efficacy of Durvadi Taila in the Management of Muladhar Chedan/Yonikshat w.s.r. to Episiotomy Wound
Abstract: Background: Episiotomy is a surgically planned incision on the perineum and the posterior vaginal wall during the second stage of labor. It is more prone to an infection that is why it requires wound care and maintenance. Episiotomy can be compared to Chhina Vrana (a kind of Sadhyo Vrana). Durvadi tail a have been mentioned in Yogratnakar as vrana ropak in the treatment of Sadhyo vrana. Aim: Clinical evaluation of …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 6, Issue 3, 2017 · pp. 8–14 Read article
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Voltage Stabilization of Electric Vehicle Charger Using Fractional Order PID Controller
Abstract: In this study, a comprehensive analysis of the stability of Phase-Shifted Full Bridge DC-DC converter with zero voltage crossing is carried out by applying PID controller tuned using Ziegler Nichols tuning method, Cohen Coon method and Fractional Order PID controller using Genetic Algorithm optimization technique. First, the system specifications for the fast charging of electric vehicles were defined, from which converter parameters were then calculated. From the converter topology, the …
Published in Journal of Control & Instrumentation · Vol. 13, Issue 2, 2022 · pp. 14–26 Read article
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Prioritization of Transit Stations to Promote as Transit-Oriented Development Using Analytic Hierarchy Process
Abstract: Multi-Criteria Decision-Making (MCDM) is always a tricky process for choosing the best optimal among various alternatives available. Analytic Hierarchy Process (AHP) is one of the most widely used concepts across the globe in different disciplines among various MCDM methods. In this study, AHP is used to prioritise the new or existing transit stations for its Transit Oriented Development (TOD) implication. TOD is known as multi faced planning concept which assures …
Published in Trends in Transport Engineering and Applications · Vol. 6, Issue 2, 2019 · pp. 14–29 Read article
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Feature Fusion Based Iris and Retina Recognition System Using Kohonon Self-Organizing Mapping Neural Network Algorithm
Abstract: This paper proposes a model of biometric security with feature fusion based iris and retina recognition system. Though, a lot of research works have done for iris recognition system and it is not new for the fusion of multimodal iris recognition in the area of biometric security and authentication system. But, it is a relatively new idea of mixing iris and retina features for human authentication. Here, the features of …
Published in Trends in Electrical Engineering · Vol. 5, Issue 2, 2015 · pp. 22–26 Read article
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Evaluation of J-Integral and Fatigue Crack Growth Rate of Semi-elliptical Crack in Compressor Blade
Abstract: Gas turbine compressor blades are subjected to centrifugal, gas bending and vibratory loads. This repeated loading and unloading can reduce the life of compressor blades. This research aims at the estimation of fatigue crack growth rate of various three-dimensional cracks in a compressor blade considering the J-integral calculations for a semi-elliptical crack, subjected to centrifugal loading. Static stress analysis was carried out to ascertain the critical region or crack zone …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 2, 2014 · pp. 39–46 Read article
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CNN-BILSTM Architectures for Handwritten Signature Verification: Insights and Innovations
Abstract: Verifying handwritten signatures is essential for identity authentication to guard against fraud and guarantee security across a range of platforms. The approaches and developments in handwritten signature verification are examined in this review, with an emphasis on both offline and online techniques. While online methods use dynamic information like stroke order and speed, collected by specialized devices, offline verification uses scanned photographs of signatures. Even if technology is moving toward …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 43–50 Read article
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New Design Formulae for Safety and Precision in the Fatigue Engineering of Mechanical Components and Structures
Abstract: This paper introduces two new formulae, termed the Nori Fatigue Formulae, for determining the maximum allowable fatigue stress in mechanical components and structures with significant stress concentrations. These formulae will eliminate the usage of code-sensitive safety factors along with other factored values from the entire mechanical design engineering work, ranging from a safety pin to spacecraft. The first formula gives the maximum allowable fatigue stress in tension, and the second …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 6–22 Read article
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Optimization of Multiple Responses in Turning of AA7075 Using Taguchi’s Quality Loss Method
Abstract: The present work is to explore the affect of turning parameters, speed, feed and depth of cut on the multiple performances of Material Removal Rate and Surface Roughness characteristics. AA7075 is considered as the work piece as it has extensive applications in the field of aerospace and marine sectors. The experiments are carried out using tungsten carbide tool of 0.4 nose radius and as per the standard Taguchi’s L9 Orthogonal …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 1, 2018 · pp. 31–37 Read article
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Cutting-edge Deep Learning Methods for Predicting and Detecting Cardiovascular Diseases
Abstract: Cardiovascular diseases (CVDs) remain a major global health issue, highlighting the need for improved early detection and risk assessment methods. This research investigates the efficacy of both deep learning and traditional machine learning methods in forecasting cardiovascular diseases (CVDs). We evaluate a variety of models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Multilayer Perceptrons (MLPs), Long Short-Term Memory (LSTM) networks, as well as Logistic Regression (LR), Decision Trees …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 2, 2024 · pp. 36–42 Read article
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Review of Subsea Pipeline for Minimizing Thermal and Pressure Expansion
Abstract: As the offshore oil and gas fields have been exploited in deeper water, subsea pipelines are required to operate at high temperatures and pressures. It causes subsea pipelines to be more subject to movements both in lateral and axial directions due to the loads produced by high temperatures and pressures. Some high temperature pipelines have experienced the cumulative axial displacement of an overall pipeline length over a number of start-up/shut-in …
Published in Journal of Petroleum Engineering & Technology · Vol. 4, Issue 1, 2014 · pp. 10–22 Read article
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Prediction of Excitation Current of Synchronous Machines Based on Neural Network Model
Abstract: There are several difficulties found to estimate the excitation current & and optimum input parameters of synchronous motors. Heuristic methods are frequently used to weightt the problem's parameters or optimum coefficients. As a result, a neural network model is modified in this study to explore the best parameters and estimate the excitation current of a synchronous motor with minimal prediction errors for both the testing dataset and cross validation. Excitation …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 1, 2023 · pp. 28–33 Read article
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Correlation Analysis of Gastrocnemius Tightness and Heel Pain Severity: A Study on Plantar Fasciitis
Abstract: Background: Plantar fasciitis, a common source of heel pain, is frequently linked to tightness in the gastrocnemius (GCN) muscle. This study seeks to examine the relationship between GCN tightness and the severity of heel pain in plantar fasciitis patients over time, investigating the potential role of muscle flexibility in alleviating pain. Methods: A prospective cohort study was conducted with 74 patients aged 25–65 diagnosed with P. fasciitis at Santosh Hospital, …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 1, 2024 · pp. 57–64 Read article
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Smart Agriculture in India: Advancements in Image Processing for Automated Plant Disease Detection and Crop Analysis
Abstract: The adoption of image processing technologies in agriculture is emerging as a revolutionary method for tackling persistent challenges in the farming industry. These techniques are increasingly used for different tasks such as detecting plant diseases, assessing crop health, and predicting yields, especially in the framework of smart agriculture systems. This study paints a detailed picture of the latest progress in image processing techniques applied to automated disease detection and detailed …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 13–19 Read article
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Comprehensive Review of Composite Materials: Classification, Manufacturing Methods, Mechanical Behavior, Failure Modes, and Emerging Applications
Abstract: Composite materials have emerged as one of the most significant classes of engineered materials due to their ability to deliver high strength to weight ratios, enhanced durability, and tailored multifunctionality. Over the past two decades, rapid progress in polymer chemistry, advanced reinforcement architectures, additive manufacturing, and automated fabrication has expanded the applicability of composites across aerospace, automotive, biomedical, civil, and renewable energy sectors. This paper provides a comprehensive review of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 923–939 Read article
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A Comprehensive Survey of Polymer Detection Techniques and Computer-Based Analysis Methods for Advanced Material Characterization
Abstract: Polymers are widely used in aerospace, automotive, biomedical, packaging, electronics, and manufacturing industries because of their lightweight nature, durability, and versatility. Accurate polymer identification and characterization are essential for quality control, recycling, performance assessment, and the development of advanced materials. Characterization helps determine important properties such as chemical composition, molecular structure, thermal stability, mechanical strength, and surface morphology, which influence material performance and application suitability. Traditional polymer detection methods include …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 921–929 Read article
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A Review of Computational Methods for Image Restoration and Noise Reduction Using Reference Images
Abstract: Digital imaging systems play a vital role in numerous application domains, including consumer photography, biomedical imaging, remote sensing, aerial surveillance, and astronomical observation. Despite continuous advancements in imaging hardware and software, the visual data acquired by these systems often suffer from degradation caused by spatially non-uniform blur. This blur may arise due to several factors, such as lens imperfections, atmospheric turbulence, sensor limitations, motion between the camera and the scene, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 23–30 Read article
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Implementation of CDM Based PID Controller for a Stable and Double Integrating Process
Abstract: In this paper an attempt has been made to design a PID controller for a double integrating process and shell and tube heat exchanger process based on coefficient diagram method (CDM). Ball and beam system (Linear process) and the heat exchanger systems (Non-linear process) are widely used as a bench mark control setup for evaluating various control strategies. Many PID controller designs are developed for stable system, however it is …
Published in Journal of Mechatronics and Automation · Vol. 2, Issue 2, 2015 · pp. 15–22 Read article