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392 articles for “Valid Time”
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Performance Testing on Web Application through HP LoadRunner with Parameterization and Customization
Abstract: This paper provides an extension or enhancement in HP LoadRunner tool, which is a software, automated testing tool used to carry out the intensive performance testing. The extension aims in designing the functions, which are used to reduce the data management time taken by the client or the user in different scripting methods like-parameterization, correlation, and validation checks. The proposed technique has been implemented in C. Proposed scheme reduces the …
Published in Journal of Web Engineering & Technology · Vol. 3, Issue 2, 2016 · pp. 1–14 Read article
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Solar Spin: BLDC Motor Integration for Sun powered Cycling
Abstract: This project focuses on the integration of a Brushless DC (BLDC) motor into an E-Solar Cycle to enhance its power generation efficiency. The aim is to design and implement a sustainable transportation solution that harnesses solar energy to supplement the electric power generated by the BLDC motor, thereby extending the cycle's range and reducing its dependence on external charging sources. A BLDC motor is used as the propulsion in the …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 2, 2024 · pp. 30–36 Read article
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Small Size High Gain Antenna and High Efficiency Rectifier for RF Energy Harvesting in 2.45 GHz ISM Band
Abstract: A streamlined microwave energy harvesting system to harvest energy in 2.45 GHz presented in this paper. An electromagnetically coupled square micro-strip antenna is designed and fabricated for formation in proposed system. Antenna gain of 6.7 db and bandwidth from 2.42to 2.47 GHz is achieved. The maximum gain of proposed antenna is 24 db at frequency 2.1 GHz. Rectifier circuit consists of a resonant circuit and a boosting circuit for enhancing …
Published in Journal of Microwave Engineering and Technologies · Vol. 3, Issue 1, 2016 · pp. 41–46 Read article
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RP-HPLC Method for the Simultaneous Estimation of Hydrocodone and Pseudoephedrine in Pharmaceutical Dosage Form
Abstract: A simple, rapid, specific, accurate and precise high-performance liquid chromatographic method was developed for the estimation of Hydrocodone and Pseudoephedrine in pharmaceutical dosage forms. Phenomenex C18 (250×2.2 mm ID) 4.5 µm was the column used. Methanol: Water: TEA (Tri ethyl amine) in the ratio of 50:50:0.5% (v/v/v) was the optimized mobile phase and pH was adjusted to 7.5 by using ortho-phosphoric acid. The flow rate was 1.0 ml/min and effluents …
Published in Trends in Drug Delivery · Vol. 7, Issue 1, 2020 · pp. 17–24 Read article
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Machine Learning Assisted Timing Violation Prediction in Sub-7nm VLSI Physical Design
Abstract: The continuous scaling of semiconductor technology into the sub-7nm regime has introduced significant challenges in timing closure due to process variability, interconnect delay, power density, and manufacturing uncertainties. Conventional static timing analysis techniques often require extensive computational resources and iterative optimization cycles, resulting in increased design complexity and longer turnaround time. This research proposes a Machine Learning Assisted Timing Violation Prediction framework for sub-7nm VLSI physical design to improve early-stage …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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Analysis of Quicklime Production from Eggshell through Factorial Study
Abstract: Factorial analysis is a method used in experimental design to assess the impact of different input factors on the resulting output. Quicklime is used extensively in many sectors, including those that produce paper, glass, tannery products, agriculture, water treatment, building, and agriculture. This study focused on evaluating key parameters in the calcination process, specifically calcination temperature, calcination time, and the size of eggshell and snail shell particles. The study successfully …
Published in Emerging Trends in Chemical Engineering · Vol. 10, Issue 2, 2023 · pp. 18–22 Read article
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Role-Based Online Food Ordering and Delivery System Using Django and RESTful Architecture
Abstract: Traditional food ordering processes in restaurants rely heavily on manual interactions, including in-person ordering, phone-based bookings, and unstructured coordination between customers, restaurants, and delivery personnel. These approaches lead to inefficiencies such as delayed order processing, incorrect order handling, lack of real-time tracking, and poor coordination among stakeholders. Although modern applications exist, many academic implementations lack modular architecture, role-based access control, and scalable backend design. This paper presents the design and …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 01–11 Read article
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Presence of a Bulk Viscous Universe within f(R, T) Gravity
Abstract: This paper offers a comprehensive analysis of a bulk viscous universe in the context of f(R, T) gravity, where (R) signifies the Ricci scalar and (T) represents the trace of the energy-momentum tensor. The primary objective of our work is to get explicit solutions to the modified field equations by using a power-law scale factor representation. With this method, we have obtained functions of cosmic time and redshift for the …
Published in International Journal of Universe · Vol. 1, Issue 1, 2025 · pp. 7–15 Read article
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A Factorial Investigation of Hyperparameter Tuning Strategies for Lasso- Based Genomic Prediction
Abstract: In an earlier comparative study of machine-learning methods for genomic prediction of wheat grain yield, we reported a counter-intuitive result: automated nested-cross-validation tuning of the Lasso regularization penalty reduced mean predictive ability relative to a fixed, arbitrarily chosen penalty (mean Pearson r falling from 0.408 to 0.349 across four environments), the opposite of the expected effect of hyperparameter tuning. We hypothesized two possible explanations at the time — high-variance penalty …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 42–51 Read article
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Integrating Genetic Algorithms with Lean Manufacturing for Enhanced Production Efficiency
Abstract: Lean manufacturing is a well-established philosophy focusing on the systematic reduction of waste and the ongoing development of value supplied to the customer. It emphasizes efficiency, quality, and adaptability through ideas such as just-in-time production, continuous improvement (Kaizen), and value stream optimization. However, the increased complexity of modern production systems, driven by global rivalry, product variety, and rapid technology innovation, has shown the limitations of classic lean tools in achieving …
Published in Journal of Production Research & Management · Vol. 15, Issue 3, 2025 · pp. 38–43 Read article
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A Novel Direct Weighted Deviation (DWD) Method for Agricultural Enterprise Selection: A Case Study of Namakkal District, Tamil Nadu
Abstract: The study proposes a novel Direct Weighted Deviation (DWD) method for Multi-Criteria Decision Making (MCDM) by eliminating normalization, distance metrics, and pairwise comparisons. DWD is thereafter used to evaluate and select ten rainfed agricultural enterprises against ten generic and context-specific viability criteria in Namakkal District, Tamil Nadu, a water-scarce region in India. Subsequently, other methods (AHP, SAW, WPM, and TOPSIS) are used to obtain a comparative second opinion and validate …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 1–7 Read article
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Minimizing the Synthesis Time of Nanostructured Powders in Planetary Mills using Biogeography-based Optimization (BBO) Algorithm
Abstract: A key objective in processing of nanostructured powders via high-energy ball milling is to minimize the synthesis time. This paper presents the application of biogeography-based algorithm for optimization of milling parameters in order to minimize the synthesis time of nanostructured powders in planetary mills. At first a direct relationship between the inverse of the milling time and the power of the planetary mill was established, which allows the validation of …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 4, Issue 1, 2014 · pp. 6–18 Read article
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In Vitro–In Vivo Correlation (IVIVC): A Strategic Tool in Drug Product Development
Abstract: In a recent era many concepts are dealing as an emerging tool for the drug delivery application like Biopharmaceutical Classification System (BCS), In vitro and In vivo study, and Bioavailability/Bioequivalence (BA/BE) study etc. To determine Therapeutic efficiency in vitro is not enough so the concept of In vitro-In vivo correlation (IVIVC) is playing as an convincing correlation with this for concept of pharmaceutical dosage forms have been a main focus …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 3, Issue 3, 2016 · pp. 31–54 Read article
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Experimental Validation and Implementation Framework for Optimized Methane Yield Prediction in Anaerobic Digestion
Abstract: The correct validation and realistic application of optimized anaerobic digestion (AD) models are essential steps in transferring biogas production systems to real-life. This paper outlines an experimental validation and deployment pipeline of an AI-optimized model of the methane yield prediction model based on the application of more advanced machine learning and Bayesian optimization methods. Others The validated surrogate-assisted optimization model was tested with controlled laboratory-scale AD experiments at optimized operating …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 25–32 Read article
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Design and Analysis of Thermoelectric Dc boost converter
Abstract: In today’s consumer-oriented market, researchers are increasingly focusing on harvesting energy from ambient and renewable sources to enable sustainable power generation and reduce dependency on conventional energy resources such as batteries and fossil-fuel-based electricity. The rapid growth of portable electronics, wireless sensor networks, and Internet of Things (IoT) devices has created a significant demand for low-power, long-life, and maintenance-free energy solutions. In many practical situations, frequent battery replacement is difficult, …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 4, Issue 1, 2026 · pp. 1–10 Read article
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Design and Development of a Triboelectric Sensor for a Generic Counting Application
Abstract: In today’s consumer-oriented market, researchers are increasingly focusing on harvesting energy from ambient and renewable sources to enable sustainable power generation and reduce dependency on conventional energy resources such as batteries and fossil-fuel-based electricity. The rapid growth of portable electronics, wireless sensor networks, and Internet of Things (IoT) devices has created a significant demand for low-power, long-life, and maintenance-free energy solutions. In many practical situations, frequent battery replacement is difficult, …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 1, 2026 · pp. 38–48 Read article
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Modeling of Transformer Windings having Non-uniform Inductance Distribution
Abstract: A direct analytical procedure for analyzing power transformer windings with location-dependent series inductance is presented. This dependence is typically introduced in order to take the inter-turn mutual inductive coupling into consideration. The paper addresses the frequency domain analysis conducted in the complex s- or the jω-domains. Results for the frequency-dependent winding’s input impedance with different treatments of the transformer’s neutral point will be available. The frequency characteristics including the resonance …
Published in Journal of Power Electronics and Power Systems · Vol. 4, Issue 3, 2014 · pp. 12–25 Read article
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Challenges and Opportunities in Spatio Temporal Data Analysis
Abstract: Spatiotemporal data analytics is a dynamic field that seeks to extract valuable information from data that integrates both spatial and temporal dimensions. This article explores the importance of this emerging field and its applications in a variety of fields, including environmental science, public health, and urban planning. Spatiotemporal data analysis addresses important research questions, such as determining event probabilities, understanding change patterns, identifying associations between events, and predicting events Future. …
Published in Journal of Remote Sensing & GIS · Vol. 14, Issue 2, 2023 · pp. 1–11 Read article
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Aḥwāl-I-Sū’al-Qinya: Whether these are Associated with Sū’al-Qinya (Iron Deficiency Anemia) or Not? An Attempt to Validate
Abstract: Being an ancient system of medicine, Unani system is diagnosing and treating human ailments since antiquity. This system is serving mankind since the time when there were no sophisticated equipped tools of diagnosis. Ancient Unani scholars have described diseases on the basis of their particular and peculiar sign and symptoms ((aḥwāl) aiding in quick diagnosis and assistance. Irony, with an age of 4000 years, still anemia is the most common …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 5, Issue 1, 2018 · pp. 17–21 Read article
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Non-parametric Survival Techniques with Improved Weight
Abstract: Generally, in most of the studies all the subjects could not attain the event of interest within the time period, which results in censoring, also sometimes leads to the situation of heavy censoring. In the case of heavy censoring, the conventional Kaplan-Meier estimator overestimates the survival function. To overcome this, a new weight is designed by accounting the length of the survival time and censoring rate for each time interval …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 5, Issue 3, 2018 · pp. 19–29 Read article