Search
934 articles for “experimental analysis”
-
Effective FPGA Implementation of Comb Filters to Improve Perception of Sensorineural Hearing Impaired
Abstract: AbstractIn this paper, effective method for implementation of comb filter on FPGA platform has been proposed. This work is intended for hearing aid to be used for people suffering from sensorineural hearing loss. The algorithmic implementation on FPGA is intricate during the design process. Here we propose effective and simplified approach for implementation of comb filter with 512 coefficients using Spartan-6 FPGA for dichotic presentation. The design of comb filter …
Published in Current Trends in Signal Processing · Vol. 7, Issue 3, 2017 · pp. 15–29 Read article
-
Heterogeneous Teleoperation Model for Controlling 3D Printed Humanoid Robot Arm with 5 DOF using 3 DOF Exoskeleton
Abstract: The main objectives of the present work are to model and implement a control system of five degrees of freedom (5 DOF) humanoid arm by using an exoskeleton system with 3 DOF. The exoskeleton system is used to transport the movements of the human’s arm to the controller to control the humanoid arm by using sensors at each target joint to measure the angular displacement of it. To achieve this …
Published in Journal of Control & Instrumentation · Vol. 10, Issue 2, 2019 · pp. 1–15 Read article
-
A Practical Iterative Side Channel Cube Attack on AES-128/256
Abstract: AbstractThe Side Channel Cube Attack (SCCA) is a kind of Algebraic Side Channel Attack(ASCA) consisting of theoretical and practical aspects. This paper presents a general framework for the SCCA (called an Iterative SCCA (ISCCA)) on block ciphers in which theoretical and practical aspects are explained and the requirements are listed. On the theoretical side, we use extraction of quadratic equations, recognition of iterated chosen plaintexts, and cube iteration to improve …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 3, 2014 · pp. 31–45 Read article
-
Evaluating the Mechanical Behaviors of Acacia Nilotica Reinforced Polymer Composite with and without Coupling Agent
Abstract: Over the last thirty years composite materials, plastics and ceramics have been the dominant emerging materials. The volume and number of applications of composite materials have grown steadily, penetrating and conquering new markets relentlessly. Modern composite materials constitute a significant proportion of the engineered materials market ranging from everyday products to sophisticated applications. While composites have already proven their worth as weight-saving materials. Attractive composite components have resulted in several …
Published in Trends in Machine design · Vol. 1, Issue 1, 2014 · pp. 61–66 Read article
-
An Evaluative Study of the Teaching Programme in Brushing Technique in Lower Primary School Children 3–6 years of Age at Katapadi: Udupi Karnataka, India
Abstract: The Objectives of this study are to assess the dental status of the children, to assess the brushing technique of the children, to prepare and to validate a teaching programme on brushing technique., to find the effectiveness of the teaching programme in terms of skill and dental status of the children, to find the association between dental status and brushing technique, to find the association between pre test brushing skill …
Published in Journal of Nursing Science & Practice · Vol. 3, Issue 2, 2013 · pp. 1–7 Read article
-
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
-
Machine Learning-Based Structure–Property Quantification of Advanced Polymer Composites
Abstract: Advanced polymer composites are widely used in high-performance engineering due to their superior mechanical and multifunctional properties. Accurate structure–property quantification is essential for efficient material design and reducing experimental costs. Existing Machine Learning (ML) approaches often exhibit limited predictive generalization due to inadequate feature discrimination and suboptimal hyperparameter tuning. To address these limitations, the proposed method enhances the ability to capture the complex nonlinear interactions among composite structural descriptors. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
Aluminum Oxide Nanofluids Thermal Conductivity Enhancement Analysis: A Review
Abstract: Aluminum oxide nanofluids are enhanced heat transfer fluids that utilize the thermal conductivity of aluminum oxide (Al2O3) nanoparticles suspended within a base fluid. As technology advances, more efficient high heat flux solutions are required to manage the higher concentration of power in smaller designs. In this review paper, data from multiple experiments pertaining to the thermal conductivity of Al2O3 nanofluids will be presented. Information is compiled from peer reviewed and …
Published in Journal of Thermal Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 48–58 Read article
-
Regression Analysis of Topological Indices and Physicochemical Properties of Polymer-Based Anticancer Drugs
Abstract: The research analyzed the quantitative correlation between topological indices and the physicochemical properties of selected anticancer compounds using regression analysis. Various topological descriptors—such as the First Zagreb Index, Second Zagreb Index, and Forgotten Index were calculated and regressed against key molecular features, including polar surface area, melting point, and molar refractivity. The regression analysis revealed linear correlations between these topological indices and the properties of anticancer drugs, with particularly strong …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 255–267 Read article
-
Dynamic Mechanical Analysis of Carbon Fiber Reinforced Polymer Composites
Abstract: This study investigates the thermal decomposition and mechanical properties of Fiber-Reinforced Polymer Composites (FRPCs) using Dynamic Mechanical Analysis (DMA). The research focuses on improving the recycling and recovery process of Carbon Fiber-Reinforced Polymers (CFRPs), addressing environmental concerns regarding their disposal. By analyzing the effects of different heating rates (5°C and 10°C per minute) and atmospheric conditions (nitrogen, oxygen, and a combination of both), the study identifies optimal parameters for maximizing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 386–393 Read article
-
Design and Simulation of Forging Die Towards Improving Life of Closed Die
Abstract: Forging is the metal forming process which is used for forming complex shaped component withgeometrical accuracy. More than fifty percent of the forgings are processed through this way. Forgedcomponents required in many engineering sectors, most of them in the automotive sector. Themajority of the safety critical component and load bearing structural components are process throughit. By using forging process production of complex component is faster with less material waste. It …
Published in Journal of Production Research & Management · Vol. 11, Issue 1, 2021 · pp. 1–15 Read article
-
Comparative Analysis of Fuzzy C-Mean and Level Set Segmentation Method for Brain Tumor Classes
Abstract: AbstractImage analysis is very important for many methodologies to process and identify the information of biomedical images. The segmentation technique is used to detect and characterize the biomedical images. The understanding of patient disease problem is an important task for radiologists. In this paper, we have presented the Fuzzy C-Mean (FCM) method for an objective function with fitting value and the Level Set Method (LSM) used for initial seeds contour …
Published in Journal of Open Source Developments · Vol. 4, Issue 3, 2017 · pp. 1–8 Read article
-
Limestone Calcined Clay Cement (LC3) as a Sustainable Cementitious Composite for Retrofitting Concrete Structures: A Systematic Review
Abstract: This systematic review evaluates the effectiveness of Limestone Calcined Clay Cement (LC3) as a sustainable material for repairing and retrofitting damaged concrete structures. LC3 is highlighted as a low-carbon alternative to Ordinary Portland Cement (OPC), offering improved strength, bonding, and long-term durability. The review compiles and analyzes data from peer-reviewed experimental studies focusing on LC3’s mechanical performance, interface bonding, and durability parameters. Results consistently show higher bond strength, reduced shrinkage, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 163–174 Read article
-
Performance Evaluation of a Tilted Single Axis Photovoltaic Tracking System under Different Weather Conditions
Abstract: AbstractExperimental studies were carried out using 37 W photovoltaic (PV) panels under different weather conditions over a prolonged duration of time to evaluate the performance of a low cost tilted single axis tracking system in comparison with a horizontal single axis tracking system and two fixed PV systems. A horizontal single axis PV panel tracker (HSAPVPT) and a tilted single axis PV panel tracker (TSAPVPT) were set up to compare …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 8, Issue 2, 2017 · pp. 45–55 Read article
-
Optimization Study by Response Surface Methodology and Artificial Neural Network on the Culture Parameters of Citric Acid Bioproduction from Sweet Potato Peels
Abstract: In the cause of this research work, two steps enzymatic hydrolysis of sweet potato peel was carried out respectively. The effect of α-amylase dose, reaction time, and reaction temperature and biomass weight on glucose concentration was investigated carefully. The response surface methodology (REM) predicted the highest reducing sugar concentration at liquefaction to be 74 g/L, at the following optimized conditions; temperature of 45°C, α-amylase dose 0.7 %v/v, biomass weight 22.345 …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 9, Issue 1, 2022 · pp. 30–38 Read article
-
Correlations for some Thermal Hydraulic Parameters for a Pressurized Water Reactor
Abstract: Pressurized Water Reactor (PWR) constitutes majority of nuclear power plants used worldwide because of its stability which enhances operability. However, the design and safe operation of the PWR is dependent on certain thermal hydraulic parameters such as friction factor and heat transfer. In this study, therefore the correlations for the calculation of the two important thermal hydraulic parameters are presented. Correlations used include: Dittus-Boelter and Chilton-Colburn for heat transfer, Blasius …
Published in Journal of Nuclear Engineering & Technology · Vol. 6, Issue 1, 2016 · pp. 1–10 Read article
-
The Convergence of AI and Composites - A Review Anchored in Patent Trends
Abstract: The integration of artificial intelligence (AI) and machine learning (ML) techniques is revolutionizing the design, analysis, and optimization of polymer (PC/FRP), metal (MC), and ceramic matrix composites (CC). Techniques such as artificial neural networks (ANN), deep learning (DL), genetic algorithms (GA), and physics-informed machine learning (PIML) are employed to enhance property estimation, process optimization, and predictive modeling. These AI-driven frameworks enable virtual testing, application-specific material design, and real-time decision-making, while …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 182–198 Read article
-
Understanding Sentiment Trends Through Zero-Shot and Few-Shot Learning Models
Abstract: The requirement for large, manually labeled datasets is one of the main barriers to applying sentiment analysis algorithms in specialized or rapidly evolving disciplines in the present natural language processing (NLP) landscape. This work investigates a paradigm shift from traditional fully supervised learning to data-efficient methods, specifically zero-shot learning (ZSL) and few-shot learning (FSL). This study uses the advanced capabilities of instruction-tuned large language models (LLMs), like GPT-4, to assess …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 01–08 Read article
-
Degradation of Phenolic Compound’s in Annular Photo-Reactor Using H2O2/UV Process
Abstract: Advance oxidation process is one of the best treatment applications for the remediation of water, waste water, odour, sludge and traditionally used for the removal of organic contaminant. The advance oxidation process introduced UV mediate process where an oxidant and UV frequency are applied. This process uses the photo chemical oxidation of phenol in a batch recycle photochemical reactor using UV irradiation/hydrogen peroxide. In this paper, the parameters used such …
Published in Journal of Water Pollution & Purification Research · Vol. 2, Issue 2, 2015 · pp. 10–13 Read article
-
Nano Coolants for Automotive Applications :A Review
Abstract: In recent decades nano coolant has come into play to overcome requirement of better heat transfer because of low thermal conductivity of conventional fluid such as water and ethylene glycol. In the continuation of nano fluids research, presently researchers have also used hybrid nano fluid, which are synthesized by suspending dissimilar nano particles either in mixture or composite form. This article is focused on the experimental and numerical studies carried …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 20, Issue 1, 2018 · pp. 9–22 Read article