Search
480 articles for “Dim mode”
-
Design and Simulation of a MEMS Piezoresistive Floating Element Shear Stress Sensor
Abstract: The paper presents the modelling, simulation and comparison of a MEMS piezoresistive (PZR) floating element shear stress sensor with various dimensions which has potential applications in underwater measurements. The floating element design utilizes a plate element of small mass suspended by four tethers. PZR patches are implanted at the root of the tethers. Shear stress is inferred by the deflection in the tethers and the corresponding change in the resistance …
Published in Recent Trends in Sensor Research & Technology · Vol. 2, Issue 1, 2015 · pp. 11–16 Read article
-
In Silico Identification of Therapeutic Agents for Dengue Virus by Molecular Docking
Abstract: The dengue virus causes serious health issues and a loss of quality of life. Dengue poses a yearly threat to half of the world’s population. The drugs that are based on allopathy are expensive and also exhibit toxic effects on tissues and biological activities. It is also generally accepted that most pharmacologically active drugs, including those derived from medicinal plants, are isolated from natural sources. The present study is directed …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 13, Issue 2, 2026 · pp. 01–14 Read article
-
Thermo-hydraulic Performance of Annular-Finned Double-Pipe Heat Exchanger: Numerical and Experimental Investigation of Metallic and Polymer Composite Tube Wall Materials
Abstract: Double-pipe heat exchangers are central to the process industries — dependable, easily maintained, and straightforward to fabricate. Their conventional form relies on metallic tube materials, most often copper or stainless steel. Both metals conduct heat well, but they are dense, prone to corrosion in aggressive service environments, and increasingly at odds with the light-weighting goals that drive modern system design. Fibre-reinforced polymer composites, epoxy-based materials, and thermally enhanced thermoplastics such …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 891–909 Read article
-
Iris Recognition System Using Principal Component Analysis based Back-Propagation Learning Neural Networks
Abstract: This paper deals with the iris recognition system using Back-Propagation learning neural network algorithm where Principal Component Analysis technique has been used to reduce the dimension of the iris feature vector. Automated iris localization and segmentation methods have applied to effectively isolate the iris region from pupil and sclera. Circular Hogue transform has used to detect the iris/sclera boundary and pupil/iris boundary. To remove the upper and lower eyelids effects …
Published in Current Trends in Information Technology · Vol. 3, Issue 3, 2013 · pp. 5–11 Read article
-
A Review of Solar-Powered Electric Vehicle Models Handling Unpredictable Changes in Modern Power Grids
Abstract: The transition to Electric Vehicles (EVs) is a critical strategy for mitigating global warming and reducing dependence on diminishing fossil fuel reserves. However, the environmental benefits of EVs are significantly diminished if the charging power is sourced from carbon-intensive electrical grids. To achieve true sustainability, it is vital to integrate Renewable Energy Sources (RES), particularly solar energy, into the charging infrastructure. Beyond transportation, EVs offer a unique opportunity to act …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 Read article
-
WEBPAGE EXTRACTION AND RETRIEVAL CHATBOT
Abstract: Web scraping is a fundamental technique for automating data extraction in big data applications. While multiple implementations exist, few leverage Python’s Beautiful Soup library for efficient and structured data retrieval. This project aims to develop a web scraper and retrieval system that extracts relevant information from web pages, stores it in a vector database (Milvus), and enables intelligent querying using semantic search and generative AI. The system is designed to …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
-
Bending Stress Analysis of Involute Helical Gear and Wildhaber-Novikov Gear
Abstract: This paper presents a bending stress analysis for Wildhaber-Novikov circular-arc gear (W-N gear) and involute helical gear. Bending stress analyses performed are under continuous load transmission during rotation using finite element method. Using CATIA V5 R19, three dimensional W-N gear and involute helical gear are modeled by considering same number of teeth, module, helix angle, pressure angle and face width. Then nonlinear contact analysis was conducted on involute helical gear …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 2, 2014 · pp. 17–21 Read article
-
A Review Paper on Techniques and Manufacturing Methods of 3D Printed Loudspeaker
Abstract: 3D printing is a new paradigm that has revolutionised manufacturing industry. It is a process of making a three dimensional solid object of virtually any shape from a digital model. A loudspeaker is one of the most fundamental output devices in interactive systems. 3D printing technology is now being used to produce loudspeakers with improved performance in comparison with traditional loudspeakers. The advantage with 3D printed loudspeaker is that both …
Published in Trends in Machine design · Vol. 2, Issue 1, 2015 · pp. 8–16 Read article
-
Bending Stress Analysis of Involute Helical Gear and Wildhaber-Novikov Gear
Abstract: This paper presents a bending stress analysis for Wildhaber-Novikov circular-arc gear (W-N gear) and involute helical gear. Bending stress analyses performed are under continuous load transmission during rotation using finite element method. Using CATIA V5 R19, three dimensional W-N gear and involute helical gear are modeled by considering same number of teeth, module, helix angle, pressure angle and face width. Then nonlinear contact analysis was conducted on involute helical gear …
Published in Trends in Mechanical Engineering & Technology · Vol. 4, Issue 2, 2014 · pp. 17–21 Read article
-
Disease Prediction Using Ensemble Learning Models: A Comprehensive Approach
Abstract: In recent years, ensemble learning techniques have become pivotal in advancing predictive analytics within healthcare, particularly for early disease detection. The inherent variability and complexity of medical data, often characterized by high dimensionality, class imbalance, and noise, make it challenging for standalone classifiers to maintain high predictive accuracy. Ensemble learning, by integrating multiple models through bagging, boosting, or stacking, offers a more robust and generalizable approach. This study explores the …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 26–33 Read article
-
Implementing Machine Learning in Data Classification
Abstract: Data classification forms an essential aspect of artificial intelligence (AI) and soft computing, helping a great deal in the transformation of raw data into knowledge that forms the basis of numerous applications, such as fraud detection, medical diagnostics, and natural language processing. This study discusses the challenges and the state of the art in data classification, as far as scalability, noise handling, and feature selection optimization are concerned. It gives …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
-
Real-world Pothole Detection Using Image Processing and Deep Learning Convolutional Neural Network Model
Abstract: Potholes are a major problem of concern in many parts of the cities across the country. Road accidents are one of the causes that significantly affect humanity and result in damage to vehicles and road surface. Potholes are dangerous for pedestrians who walk along the road and vehicular traffic on busy roads. Road accidents are caused due to improper maintenance of roads, and it is imperative to attend to such …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 95–103 Read article
-
A Systematic Review on Leukemia Detection and Classification Techniques Using Gene Expression
Abstract: Early diagnosis of genetic diseases is crucial for effective treatment, especially in the case of Leukemia, a type of blood cancer characterized by abnormal proliferation of white blood cells. This paper presents a systematic review of recent computational techniques for the detection and classification of Leukemia using gene expression data obtained from DNA microarray analysis. The study explores diverse methodologies including machine learning (ML), deep learning (DL), and bio-inspired algorithms …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 Read article
-
Study on Food Based Gig Workers in Kerala for Determining Work Nature and Defining Population Anthropometry
Abstract: This study aims at understanding the population of gig workers employed in the country in the field of unorganized food logistics, which is also one of the largest workforces in the country. The characteristics of gig work make the application of traditional labor law and employment standards hard to comply with, as it is related to digital platforms such as mobility, food delivery or e commerce. The focus of the …
Published in Journal of Production Research & Management · Vol. 13, Issue 3, 2023 · pp. 44–52 Read article
-
Projections of Natural Absorption in Three-Dimensional Behind Phase into Turboprop Circulation
Abstract: Designed to enhance fuel-air mixing at supersonic speeds is one of the most difficult issues in the design of scramjet engine combustors. Various experiments and investigations were considered to boost fuel-air mixture in supersonic air streams. In this analysis, phase effects on transverse gaseous hydrogen injection into supersonic crossflow are examined numerically. Three-dimensional Reynolds Combined Navier-Stokes equations and k- sst turbulence model and perfect gas equation were numerically solved. Current …
Published in Journal of Aerospace Engineering & Technology · Vol. 10, Issue 2, 2020 · pp. 33–40 Read article
-
Navigating the Spectrum of Patient Care: A Comprehensive Approach
Abstract: In the ever-evolving landscape of healthcare, providing optimal patient care demands a multifaceted approach that spans across diverse dimensions. “Navigating the Spectrum of Patient Care: A Comprehensive Approach” delves into the intricacies of modern healthcare delivery, offering insights into the myriad factors that influence patient outcomes. This comprehensive analysis encompasses various aspects, including clinical expertise, technological advancements, patient engagement strategies, ethical considerations, and healthcare policy implications. By examining the intersections …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 1, 2025 · pp. 28–34 Read article
-
Multi-Scale Analysis of Polymer Based Energy Storage Systems for High Performance Battery Applications
Abstract: The energy storage systems based on polymers are becoming promising materials for the next generation of high performance batteries because of their excellent mechanical flexibility, improved safety, and favorable electrochemical properties. Even with computational tools in Python, polymer-based energy storage systems remain plagued by poor ionic conductivity, complicated electrochemical reactions and potential thermal runaway. Therefore, a multi-scale model is proposed to improve battery performance, thermal stability, reliability, and large-scale deployment …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1035–1048 Read article
-
Accelerating Unsupervised Feature Learning: Parallelized Training of Denoising Autoencoders
Abstract: Unsupervised representation learning has become a cornerstone of contemporary machine learning, enabling algorithms to extract informative features from un-labelled, high-dimensional data. This work investigates the efficacy of stacked denoising autoencoders (SDAEs) trained via parallelized stochastic gradient descent (SGD) as a scalable approach to feature extraction. By strategically leveraging multi-threaded computation, our study systematically examines the trade-offs between increased parallelism, training efficiency, and the preservation of model accuracy. Experiments on the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 56–64 Read article
-
Numerical Study of Heat Transfer in Six Channeled Dimpled Plate Heat Exchanger
Abstract: Heat transfer augmentation is the most important criteria in many chemical, pharmaceutical and mechanical industry sectors. Considering this factor into account, heat transfer surface modification is being done for heat transfer augmentation purpose. Making dimples on heat transfer surface is one such augmentation technique. This study presents numerical analysis of six channeled counter current dimpled plate heat exchanger, in which the relative depth (dimple depth to diameter ratio (δ/D)) is …
Published in Journal of Thermal Engineering and Applications · Vol. 2, Issue 1, 2015 · pp. 15–25 Read article
-
Soft Sensor for Estimation and Identification of Reduced Dimensional Quality Control Inputs
Abstract: AbstractAdvances in instrumentation technology have equipped us with better process controlling set-ups for error detection and control that occurs in the industrial process plants. This in turn generates a large amount of data that is not always information rich. Additional sensor like a soft sensor can be used to modify the sensor to generate information rich data. Soft sensor are computational models that aid in the continuous or partial estimation …
Published in Journal of Instrumentation Technology & Innovations · Vol. 7, Issue 3, 2017 · pp. 24–29 Read article