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1362 articles for “performance testing”
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Partial View-Based Object Recognition using Leave-one-out Approach with Classification and Regression Trees
Abstract: Object recognition from image is an intriguing task in computer vision. It is simple for human being but complex for machine because of complex background, lightening, different viewing angle, size etc. So, a typically automatic and robust system is required to recognize object. In this paper, a content-based object recognition system using only one view of the object: top view, front view, back view, side view, and also using combination …
Published in Journal of Computer Technology & Applications · Vol. 9, Issue 3, 2018 · pp. 9–16 Read article
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Percentage Changes According to Pathological Finding of Gastric Cancer from H. pylori Infections
Abstract: Helicobacter pylori accounts for more than half of the world population in the pathogenesis of gastric cancer. The incidence of gastric cancer among patients with H. pylori infection is 2.7–6 times more than normal. Recently, it has been a worldwide trend to verify the existence of H. pylori using endoscope among all the patients with complaints of digestive abnormality and then introduce anti-cancer therapy with antibacterial therapy from an early …
Published in Research and Reviews: A Journal of Medicine · Vol. 9, Issue 3, 2019 · pp. 5–9 Read article
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Detect Fraud Bank Checks with Convolutional Neural Network Processing Algorithm
Abstract: AbstractThe purpose of this study is to design and build a fraud check detection system with a Convolutional Neural Network (CNN) algorithm to quickly and easily detect a fraud or altered bank check in real time. A MATLAB Deep Learning Toolbox with related CNN algorithm is used to assist this study to quickly detect any fraud or altered bank check when it is deposited and scanned by a scanner in …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 3, 2020 · pp. 18–29 Read article
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Thermal Modelling and Simulation of Brushless D.C. Motor for Electromechanical Actuation
Abstract: A lumped-parameter thermal model is described which provides both a steady-state and transient solution to the temperatures within an electrical machine. The model is sufficiently complex to identify the temperatures at most locations in the machine, including the peak temperatures in the end winding and the surface temperatures of the rotor. It is formulated out of purely dimensional information and constant thermal coefficients and is therefore easily adapted to a …
Published in Journal of Aerospace Engineering & Technology · Vol. 3, Issue 1, 2013 · pp. 16–28 Read article
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Design of Model-based Controllers for a CSTR Process
Abstract: The objective of this paper is to propose suitable control strategies for controlling highly nonlinear system represented by the mathematical model of the jacketed continuous stirred tank reactor (CSTR) with so called Van de Vusse reaction. The operating point of the reactor is chosen so as to give maximum yield of the desired product. The mathematical model of reactor is obtained by considering the feed flow rate (Fr) as the …
Published in Journal of Instrumentation Technology & Innovations · Vol. 5, Issue 1, 2015 · pp. 13–20 Read article
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Colorimetric Redox Indicator assay for rapid detection of multidrug-resistant Mycobacterium tuberculosis in South Gujarat region
Abstract: Tuberculosis (TB) has affected humans since antiquity. The burden of TB particularly with multi-drug-resistance (MDR) is increasing worldwide and has become a major public health concern. This study aims to perform Colorimetric Redox Indicator (CRI) assay for rapid detection of multidrug-resistant Mycobacterium tuberculosis in South Gujarat region. Total 234 samples were collected from South Gujarat region and were subjected for microscopy examination, culturing on Lowenstein-Jensen (LJ) medium and drug susceptibility …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 8, Issue 3, 2018 · pp. 65–70 Read article
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Enhancement in Performance of Conventional concrete mixes by using hybridization with steel & polypropylene fibres
Abstract: This experimental study evaluates the influence of incorporating steel and polypropylene fibers on the mechanical performance of high- performance concrete (HPC) across M30, M35, and M40 grades. This research focuses on evaluating the mechanical properties of High- Performance Concrete (HPC) enhanced with a hybrid reinforcement system consisting of steel fibers (SF) and polypropylene fibers (PPF). Steel fibers are utilized to improve the compressive and tensile strengths, while polypropylene fibers contribute …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 3, 2025 Read article
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Deep Learning Applications in Bone Fracture Detection for Improved Radiographic Diagnostics
Abstract: Bone fracture detection is a critical aspect of medical diagnostics, traditionally relying on manual interpretation of radiographic images by experienced radiologists. This discipline has undergone a revolution with the introduction of machine learning (ML), which can improve accuracy, shorten diagnosis times, and lessen human error. This study investigates the use of different machine learning methods to enhance and automate the identification of bone fractures in radiography pictures. We utilized a …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 17–22 Read article
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A Strategy for Safer and More Resilient Industrial Construction
Abstract: This study investigates the effects of incorporating steel and polypropylene fibers into high-performance concrete (HPC) to enhance its mechanical behavior and ensure greater safety in industrial structures. The research focuses on HPC mixtures of M30, M35, and M40 grades reinforced with a combination of steel fibers (SF) and polypropylene fibers (PPF). Steel fibers contribute to improved compressive and tensile strengths, while polypropylene fibers help control crack formation and dissipate energy …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 3, 2025 · pp. 1–6 Read article
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Effect of Flexibility on Aircraft Wing
Abstract: The shape of the aerofoil determines how the air circulates around it and how much moment and force will be the acting on it. When the body is rigid (fixed) flow around the geometry remains unchanged at particular A.O.A. (angle of attack), but if the body is allowed to be flexible (free) i.e., it can deform its shape, due to which there will be a significant change in the shape …
Published in Journal of Aerospace Engineering & Technology · Vol. 6, Issue 1, 2016 · pp. 45–50 Read article
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Development and Thermal-Soiling Performance Evaluation of Boron-Nitride Reinforced Polymer Nanocomposite Coatings for Solar Photovoltaic Applications
Abstract: Surface heating, dust buildup, and weakening triggered by ultraviolet (UV) light all have a vast effect on the long-term performance of solar photovoltaic (PV) modules. These issues all lower power conversion efficiency in real-world open-air circumstances. A nanocomposite coating built on fluoropolymer (FEP) that is reinforced with hexagonal boron nitride (h-BN) nanoparticles is invented by this study to enhance thermal dissipation, optical transmission, and resistance to dirt at the same …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 218–223 Read article
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Durability and Non Destructive Test of Hybrid Fibre Reinforced Concrete
Abstract: AbstractAim: This paper presents the strength and performances of steel fibre reinforced concrete (SFRC) and hybrid fibre reinforced concrete (HFRC). The hybrid fibre is considered in the combination of hooked end steel fibres and polypropylenes fibres. Method: To study the durability properties, the fibre content dosage V f ranged from 0.5 to 2.0% of steel fibres, and 0.8SF0.3PP, 0.7SF0.3PP, 0.6SF0.4PP, 0.5SF0.5PP of hybrid fibres. 10 mixes including one control mix …
Published in Recent Trends in Civil Engineering & Technology · Vol. 7, Issue 3, 2017 · pp. 31–45 Read article
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Cybersecurity in Web Automation: A Machine Learning Approach to Lightweight Intrusion Detection
Abstract: Launch-Attack is a lightweight and practical threat-detection framework designed specifically for smaller web-automation environments, including setups that rely on tools such as Selenium. Rather than aiming to replace large enterprise-grade security platforms, the framework focuses on offering an accessible option for developers, testers, and researchers who need real-time monitoring without the heavy resource demands of traditional systems. The model relies on machine-learning techniques implemented through Scikit-learn, enabling it to detect …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 1, 2026 · pp. 34–40 Read article
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Developmental Responses to Structured Training Loads in Competitive Youth Judo
Abstract: This study investigates the influence of a planned and regulated training-load structure on the physical and technical growth of elite youth Judoka aged 10 to 16. A four-week training program progressively modified the key variables of training intensity, frequency, and volume to support performance development while avoiding over-fatigue and injury. Ten athletes participated with performance assessed before and after training using tests for Muscular endurance, Core stability, Lower body explosive …
Published in Recent Trends in Sports · Vol. 3, Issue 1, 2026 · pp. 07–15 Read article
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Tailoring Toughness of Pineapple Leaf Fiber-Reinforced Epoxy Composites Using Halloysite Nanotubes
Abstract: This comprehensive study investigates the effects of halloysite nanotubes (HNTs) on the impact strength and fracture toughness of pineapple leaf fabric-reinforced epoxy (PALF/Ep) composites with an emphasis on sustainable material development. ASTM D256 and ASTM D5045 standards were followed in the fabrication of the composites. HNT weight percentages were systematically changed from 0 to 3wt% through using solution mixing and manual lay-up techniques, and vacuum bagging was used to obtain …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 261–272 Read article
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Predictive and Degradation Analysis in the Life-Cycle of Monocrystalline and Multicrystalline Photovoltaic Modules using Electroluminescence Imaging & Monitoring Studies
Abstract: AbstractSolar Technology is the cynosure of all eyes in this global era. With major thrusts towards decarbonization, improving the overall efficiency of Solar Modules is the most coveted thing in this arena. The efficiency of a Solar panel ranges between 18-25 % when it is in good working condition. There are several causes of the efficiency decreasing further. A solar panel is susceptible to a lot of damages, ranging from …
Published in Journal of Semiconductor Devices and Circuits · Vol. 7, Issue 2, 2020 · pp. 23–27 Read article
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Structure–Property Modeling of Cement-Based Multi-Component Composites Using Ensemble Machine Learning and Explainable Feature Attribution
Abstract: Accurate prediction of compressive strength is central to structure–property optimization, quality control, and sustainability-driven design in cement-based composite materials. Cementitious systems represent heterogeneous multi-phase composites composed of reactive binder matrices and dispersed aggregate phases, whose macroscopic mechanical performance emerges from complex nonlinear interactions among constituents and curing-dependent microstructural evolution. This study develops a data-driven structure–property modeling framework to quantify the nonlinear dependence of compressive strength on multi-component composite composition and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 112–131 Read article
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An Alternative Robust Measure of Outlier Detection in Univariate Data Sets
Abstract: A univariate outlier is a data point that consists of an extreme value on one variable. Here we applied two types of outlier detection methods: one is graphical and another is analytical. This paper presents graphical methods for different statistical outlier detection such as scatter diagram, box plot and normal probability plot. Furthermore, the quantitative methods for outlier detection in this paper are the IQR method, SD method, Z-score method, …
Published in Research & Reviews : Journal of Statistics · Vol. 8, Issue 1, 2019 · pp. 1–11 Read article
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High-Performance Liquid Chromatographic Assay of Nateglinide and its Stability Study
Abstract: Nateglinide (NTG) is a D-phenylalanine derivative used in the treatment of type-2 diabetes mellitus. An accurate, sensitive and reproducible high-performance liquid chromatographic (HPLC) method has been developed and validated for the quantification of NTG in pharmaceutical samples. The drug was eluted from Inertsil ODS 3V (150×4.6 mm; 5 µm particle size) column at 30á´¼C with a mobile phase consisting of phosphate buffer of pH 3.3 and methanol (70:30 v/v). The …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 7, Issue 3, 2016 · pp. 41–52 Read article
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The Overview of Software Testing: Types, Methods, and Levels
Abstract: Software development life cycle (SDLC) is a software development model consisting of different phases i.e., analysis, design, coding, testing, deployment, and maintenance. The analysis phase is the primary phase in which all the requirements are gathered and analysed which is further used for designing and coding. The next phase is testing. Software testing is a process of evaluating software so as to check whether it satisfies the requirements of the …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 8, Issue 4, 2021 · pp. 11–14 Read article