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1362 articles for “performance testing”
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Digital Twin Assisted Intelligent Prediction of Polymer Composite Degradation Under Environmental Exposure
Abstract: Polymer matrix composites (PMCs) deployed in aerospace, marine, automotive, and renewable-energy structures are continuously subjected to coupled environmental stressors — ultraviolet (UV) radiation, moisture ingress, thermal cycling, and mechanical loading — that progressively degrade their mechanical performance. Conventional accelerated ageing tests and empirical lifetime models are time-consuming, destructive, and poorly suited to in-service, asset-specific degradation forecasting. This paper proposes a Digital Twin (DT) assisted intelligent prediction framework that fuses a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Intello-An Intelligent Chatbot For Replacing FAQs
Abstract: A user often needs to go through each question of the FAQ section of a website simply to find the answer to his solitary question. It would be much simpler if there existed a single interface through which he could simply type in his question and the answer is directly provided. There has been a long list of chatbots developed for the e-commerce and online customer service industry.In this paper, …
Published in Journal of Web Engineering & Technology · Vol. 5, Issue 1, 2018 · pp. 25–34 Read article
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Flush Air Data System(FADS) Validation in a Subsonic Wind Tunnel
Abstract: Flush air data sensing system (FADS) makes use of surface pressure measurements from the nose cap of the vehicle for deriving the air data parameters of the vehicle such as angle of attack, angle of sideslip, Mach number, etc. The overall FADS system including pressure transducers, tubing, port geometry, FADS algorithm, and electronics along with the mechanical and electrical integration scheme is successfully tested in a subsonic wind tunnel facility. …
Published in Journal of Aerospace Engineering & Technology · Vol. 6, Issue 3, 2016 · pp. 5–15 Read article
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Assessment of In Vitro Probiotic Potential of Lactic Acid Bacteria
Abstract: AbstractProbiotic potential of fermented milks isolates Lactobacillus rhamnosus NS6, Streptococcus thermophilus MD2 and Streptococcus thermophilus MD8 were carried out by performing various in vitro tests. MD2 and MD8 were able to survive at pH 2 and 3 in broth, while NS6 was found to be pH sensitive and could not survive at pH 2, but maintained its viability at 3 pH. All the cultures were able to survive at 0.5 …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 5, Issue 1, 2016 · pp. 17–30 Read article
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Seroprevalence of Toxoplasmosis and Associated Risk Factors to Seropositivity in Goat of Different Locality in Mid-Terai Region of Nepal
Abstract: A cross-sectional study was carried out at Regional Veterinary Laboratory, Pokhara to determination of the seroprevalence and associated risk factors of toxoplasmosis in purposively collected 568 serum samples of goat in May and June of 2018, from 3 different districts of mid-terai region of Nepal. In which total 184 samples were randomly selected and performed c-ELISA test for the detection of antibodies of Toxoplasma gondii. After collection and coding of …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 7, Issue 3, 2018 · pp. 19–26 Read article
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Investigations of Mechanical Testing and its Effects on Lithium Ion Battery and Battery Pack for Electric Vehicle Application
Abstract: This research delves into the comprehensive study of mechanical testing methodologies and their consequential impact on the structural integrity, safety, and performance of Lithium-Ion batteries (Li-ion) and battery packs designed for electric vehicle (EV) applications. The investigation aims to enhance the understanding of mechanical stressors' influence on the reliability and safety of energy storage systems crucial for the sustainable advancement of electric mobility. The paper opens with mechanical testing protocols …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 2, 2024 · pp. 35–49 Read article
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Energetic and Exergetic Investigation on Vapor Compression Refrigeration System Using Ag₂O-R134a Nanofluid as Refrigerant
Abstract: This paper experimentally explored energetic and exergetic performance investigation of VCR System using Ag₂O-R134a Nanofluid as Refrigerant. The integration of silver oxide (Ag₂O) nanoparticles within polymer and composite materials offers promising avenues for enhancing the thermal and physical properties of advanced systems. The energetic and exergetic performance study of VCR were investigated with test parameters including compressor power consumption, cooling capacity, coefficient of performance (COP), discharge temperature, irreversibility in the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 279–287 Read article
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Thermo-Mechanical and Electrical Properties of Multi-Walled Carbon Nanotube-Enhanced Polyimide Composites for Aerospace Thermal Protection Systems
Abstract: Advanced aerospace thermal protection systems (TPS) require multifunctional materials that simultaneously provide high thermal stability, mechanical strength, and reliable electrical performance. Polyimide (PI) is widely used in aerospace structures due to its lightweight design and exceptional thermal durability, yet its low thermal conductivity and insulating behavior limit its effectiveness in heat dissipation and electromagnetic interference (EMI) shielding applications. This study addresses these limitations by developing multi-walled carbon nanotube (MWCNT)-reinforced polyimide …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 966–982 Read article
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A Parametric Investigation on the Drag Effect Consideration in Re-Entry Vehicle Performance
Abstract: Rocket adaptation relies more on normal gravity experimentation and simplified conventional theories. The related complexities and lack of well-defined prediction system have always restricted futuristic missions. The work primarily addresses issues related to the accurate prediction of rocket dynamics and re-entry vehicles. Parametric study on the conventional equation systems was carried out with consideration of geometric and design variables. Emphasis is put on the practical cases with minimization of assumptions. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 5, Issue 3, 2016 · pp. 7–26 Read article
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Effect of 3D Printing Process Parameters on the Tensile Strength of Polylactic Acid (PLA)
Abstract: This study employs the Taguchi approach to systematically analyze and optimize critical Fused Deposition Modeling (FDM) parameters, focusing on their effect on the tensile strength of 3D-printed Polylactic Acid (PLA) components. The study explores three levels of layer thickness (0.15 mm, 0.25 mm, and 0.3 mm), infill densities (25%, 50%, and 75%), and nozzle temperatures (200°C, 205°C, and 210°C) across three infill patterns: Triangular, Gyroid, and Zig-zag. A total of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 128–140 Read article
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Performance Evaluation and Stability Analysis of Faba Bean (Vicia faba L.) Varieties in Siltie and Guraghe Zones, Ethiopia
Abstract: The experiment was conducted with ten faba bean Varieties for two consecutive years (2015–2016) comprising six environments in order to determine the effect of genotype x environment interaction and to identify and select high yielding, stable and best performing faba bean varieties with better adaptability. The experiment was laid out in a randomized complete block design with three replications. The combined analysis of variance of grain yield showed a highly …
Published in Research & Reviews : Journal of Botany · Vol. 11, Issue 1, 2022 · pp. 20–29 Read article
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Study of an Improved Quantum Particle Swarm Optimization-Based Framework for Neural Network Optimization in Modelling of Polymer Data
Abstract: The accurate forecasting of polymer viscosity at various physicochemical conditions has been quite critical due to the nonlinear interactions and interrelations between the variables. This paper suggests a better hybrid modelling framework, which involves the use of Artificial Neural Networks (ANN) and more advanced versions of Quantum Particle Swarm Optimization (QPSO) to better predict polymer viscosity. The input parameters taken are, namely, log (shear rate), polymer concentration, NaCl concentration, Ca …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 282–297 Read article
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Analyzing Potential Leads Data to Improve Marketing Strategies
Abstract: To develop a lead scoring model using multiple machine learning models and create a user-friendly web application, the first step is to clearly define the problem and collect relevant data from various sources such as CRM, website, social media, email campaigns, etc. After cleaning and pre-processing the data, identify the essential features that can affect the lead score and split the data into training and testing sets. Next, select a …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 2, 2023 · pp. 18–25 Read article
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Geotechnical Analysis and Performance Evaluation of Subgrade Materials in Road Construction
Abstract: Geotechnical engineering plays a pivotal role in the design, construction, and long-term maintenance of infrastructure, particularly in road construction, where subgrade conditions are directly linked to pavement performance, durability, and overall structural integrity. The performance of a road is heavily influenced by the geotechnical properties of the subgrade, making it essential to thoroughly assess these properties in the planning and construction phases. This study comprehensively investigates the geotechnical characteristics and …
Published in Journal of Geotechnical Engineering · Vol. 11, Issue 3, 2024 · pp. 24–29 Read article
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Correlation Between XRD Analysis and Mechanical Characterization Using Lens Manufactured Specimens Based on IoT Sensors
Abstract: The advent of the Internet of Things (IoT) has enabled the seamless integration of sensors into the manufacturing process, facilitating the collection of real-time data for analysis and optimization. The correlation between X-ray diffraction (XRD) analysis and mechanical characterization is investigated using specimens manufactured through the Laser Engineered Net Shaping (LENS) technique. The study focuses on three different materials: brass, SS202, and SS304. XRD analysis is employed to determine the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 41–58 Read article
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Next Generation Immunoassays for Infectious Diseases of Animals
Abstract: Veterinary diagnostics has an essential role to play in the management and control of infectious diseases. Immunodiagnostics originated towards the end of 19th century with the advent of agglutination- and precipitation-based serological techniques. Progress in immunodiagnostics during the 20th century is marked by development of complement fixation test, and later, fluoro-, radio- and enzyme-immunoassays during 1950s, 1960s and 1970s, respectively. Various immunodiagnostic test formats were improved for their performance characteristics …
Published in Research and Reviews : A Journal of Immunology · Vol. 7, Issue 2, 2017 · pp. 22–43 Read article
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Assessing the impact of E-business Technology on Supply Chain Management-in Context of Indian Industries
Abstract: E-business processes and internet technologies offer powerful competitive tools for higher revenues and profits in the industry. Creating an efficient supply chain network is crucial for providing affordable products with high quality, which is essential for gaining a competitive edge. Implementing e-business processes in the supply chain aims to improve overall performance by leveraging information technology advancements for easier coordination and reduced information costs. The research focuses on assessing the …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 1, 2024 · pp. 9–16 Read article
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Parametric Optimization of Aluminum Alloy 6061 Using Wire-EDM for Automotive Applications: A Taguchi-Based Approach
Abstract: Machining hard materials with complex geometries presents numerous challenges, often requiring the use of non-traditional methods such as wire Electric Discharge Machining (EDM). However, wire EDM machines operate at slow speeds, and increasing the speed can negatively impact surface finish, making it a difficult task. The ongoing research investigates the machinability study of Aluminum Alloy 6061 using wire EDM, emphasizing the optimization of process parameters to enhance machining performance and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 293–302 Read article
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Performance Evaluation of an Academician using Fuzzy Logic: Student’s Perspective
Abstract: AbstractCurrent literature and common practice suggest that there is no consistent method available to compute the performance of an academician. So, this research work aims to find the quality of an academician from student’s point of view depending upon various quality factors like knowledge, knowledge delivery, communication skills etc. An expert system based on fuzzy logic has been designed to accept inaccurate and vague values of the parameters on which …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 1, 2016 · pp. 35–50 Read article
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Secure Forge: Deepfake Image Detection Using Vision Transformers
Abstract: Deepfake technologies have become a major risk to the credibility and trustworthiness of digital visual information. Using powerful generative models like GANs and autoencoders, deepfakes can generate highly realistic fake videos and images, resulting in misinformation, identity theft, and public loss of trust in digital media. Classic Convolutional Neural Networks (CNNs) while being highly effective in initial-stage, deepfake detection tend to be limited by their local receptive fields and dependency …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 32–45 Read article