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392 articles for “Valid Time”
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Review of Various Modern Temporal Data Models
Abstract: Temporal records are known to change with the passage of time and services to manage the multiple snapshots of these records are generally absent in conventional databases. The management of the Time-varying data is effectively performed by the temporal data models in comparison to implementing them in user applications. The support for the temporal functionality is provided by the modern commercial databases that enable the users to manipulate the temporal …
Published in Journal of Advanced Database Management & Systems · Vol. 5, Issue 1, 2018 · pp. 1–7 Read article
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Design and Validation of an Artificial Intelligence-Driven Digital Twin for Real-Time Monitoring and Control in Polymer Composite Manufacturing
Abstract: Polymer Matrix Composites (PMCs) have become indispensable in high-performance sectors such as aerospace and automotive engineering, offering exceptional strength-to-weight ratios that outperform traditional metals in many demanding applications. However, the reliability of manufacturing PMCs via Vacuum-Assisted Resin Transfer Molding (VARTM) is frequently undermined by stochastic process variabilities. Unpredictable fluctuations in thermal history, preform permeability, resin rheology, and ambient conditions often lead to some defects; namely voids, dry spots, and incomplete …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 224–233 Read article
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Design and Implementation of a Real-Time ANPR-OCR Based Embedded System for Automated Vehicle Compliance Verification-Checking Valid PUC and Insurance
Abstract: With the rapid increase in vehicle ownership, ensuring adherence to traffic regulations has become essential, particularly concerning vehicle insurance and Pollution Under Control (PUC) certification. Non-compliance with these requirements can lead to financial risks, legal violations, and environmental damage. Traditional enforcement methods rely on manual inspections, which are time-consuming, inefficient, and prone to human error. To address these challenges, this paper proposes an automated system that utilizes Automatic Number Plate …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 2, 2025 · pp. 1–7 Read article
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Real Time Implementation of Cascade Process using NI ELVIS in LabVIEW
Abstract: The main objective of this work is to enforce PID controller in a real time process, and to find out the best robust control settings for cascade process. In this work, process variable level is controlled in a cascade mode. Level and flow are considered as primary and secondary variable, respectively. Process models of flow and level are identified as First order plus dead time models. Validated model is used …
Published in Journal of Control & Instrumentation · Vol. 6, Issue 1, 2015 · pp. 37–43 Read article
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RP-HPLC Analytical Method Development and Validation for Quantitative Estimation of Metoclopramide Hydrochloride in Solid Oral Formulations
Abstract: RP-HPLC technique formulated for the numerical assessment of Metoclopramide Hydrochloride in tablet formulation has been confirmed for reliability. A C18 column facilitated the chromatographic separation using a mobile phase comprising 60:40 (v/v) potassium dihydrogen phosphate buffer: meth anol mixture. Such method was used to detect, where the retained time was 6.78 minutes and Metoclo pramide Hydrochloride produced a clear peaked at 273 nm. Results were in agreement with ICH Q2 …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 2, 2025 · pp. 07–15 Read article
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GSM Based OTP Security Locker Using Arduino
Abstract: This work presents a microcontroller-driven secure locker system that leverages GSM-based communication for dynamic user authentication. Unlike conventional locking mechanisms that depend on static credentials or physical keys, the proposed system utilizes a time-sensitive one-time password (OTP) transmitted to a pre- authorized mobile number. The authentication workflow is managed using an Arduino-based embedded platform integrated with a SIM A7670C GSM module. The system coordinates OTP generation, transmission, and validation in …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 8–15 Read article
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A IoT-Enabled Predictive Intelligence for Real-Time Failure and Damage Evolution Monitoring of Polymer Composites
Abstract: Damage assessment of carbon-fibre-reinforced polymer composites is still challenging since the damage occurs as a combination of matrix cracking, interfacial debonding, delamination and fibre fracture. The present work proposes a framework for predictive-intelligence based on IoT for multiaxial fatigue and compression-after-impact (CAI) CFRP experiments, employing publicly available acoustic-emission (AE) datasets. A causal CNN–GRU attention model is developed by integrating time-domain, spectral, wavelet, loading-history and trend features to estimate the damage …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Measurement of Defects in Car Bearings and Its Effect on Ultrasonic Waves
Abstract: As one of the defects of roller bearings due to intermittent coupling forces and external impact loads,surface cracks due to corrosion or wear may have many defects for rotating machines. Surfacecracking on the bearing or its ball is one of the important factors in the efficiency of the bearing andits opening. It is useful to study these cracks and identify the type and size of these cracks for bearingsused in …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 1, 2021 · pp. 44–49 Read article
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Analysis of Gold Price Trend Using the Hidden Markov Model
Abstract: This study aims to analyze the behavior of gold prices in India through a two-state Hidden Markov Model (HMM). We first formulated crucial parameters, such as the Transition Probability Matrix (TPM), Initial Probability Vector (IPV), and Emission Probability Matrix (EPM). Subsequently, we constructed a hidden Markov probability distribution and evaluated Pearson’s coefficients to gauge the correlations separately for each state. The goodness of fit of the developed model was assessed …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 2, 2024 · pp. 7–16 Read article
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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 15–24 Read article
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Artificial Intelligence In Transfusion Medicine And In Our Mission To “BEAT- COVID”
Abstract: The key objectives of this manuscript are: 1] Demystifying the buzzword of Artificial Intelligence [AI] and comparing neuronal networkings similarity of machines with some mammals; 2] Exploring, from outside sources, the breath of some computerized procedural data generated in laboratory and clinical areas of medicine, by robotic tools in the cutting age of transfusion medicine; 3] Expressing views on the variabilities of covid- associated long lasting microcirculatory disseminated pathogenic autoimmune …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 3, 2020 · pp. 10–21 Read article
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Assessment of Voltage Stability and Event Detection in Distribution Grid with Penetration of Renewable Energy Sources
Abstract: AbstractIn this paper we proposed a method which is based on FFT (Fast Fourier Transform) analysis for the assessment and detection of outage of renewable energy, islanding event and grid synchronization of renewable energy. The Voltage signals should be measured, and features extracted are realized to assess the power quality disturbance associated with various events. Operational events are detected with the help of features extracted from the FFT analysis of …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 7, Issue 3, 2020 · pp. 9–18 Read article
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Rainwater Measuring Algorithm in O(1) Time Complexity
Abstract: The Rain Terraces Time Complexity Data Structure Algorithm (RTTCDSA) introduces a novel method for managing temporal data efficiently, inspired by the natural flow of rainwater on terraced landscapes. This study presents the conceptual framework and implementation details of RTTCDSA, which leverages principles of temporal dynamics and landscape morphology to organize and query temporal data with optimal time complexity. RTTCDSA employs a hierarchical structure akin to terraced landscapes, facilitating rapid traversal …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 1, 2024 · pp. 26–32 Read article
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Revolutionizing Software Engineering: Harnessing AI-driven Continuous Integration for Seamless Collaboration and Rapid Development
Abstract: In the dynamic landscape of software engineering, this paper introduces a revolutionary approach by integrating artificial intelligence (AI) into continuous integration processes. The research aims to redefine software development methodologies, leveraging AI-driven continuous integration (AI-CI) to enhance collaboration among development teams and accelerate software development cycles. The comprehensive study delves into the theoretical foundations and practical implications of AI-CI. The integration involves infusing AI algorithms into the continuous integration pipeline, …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 3, 2023 · pp. 45–60 Read article
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Axial Load Carrying Capacity of RCC Column Jacketed with Steel Angels and Steel Strips
Abstract: An The Purpose of this research is to study & analyze the existing structures of Factory shed which is almost 32 years old which is deteriorated and not in working from 20 years. Due to non-working condition of factory shed, steel truss and other structural parts are not maintained time to time as results the structural members are corroded and RCC members are deteriorated. Hence the existing column is retrofitted …
Published in Journal of Structural Engineering and Management · Vol. 10, Issue 2, 2023 · pp. 1–12 Read article
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Physics-Informed Neural Networks for Multiphysics Analysis of Biomedical Polymer Composite Systems
Abstract: Physics-Informed Neural Networks (PINNs) offer an effective model of solving coupled multiphysics equations in biomedical polymer composite systems, which are data-driven. In the given work, the PINN method is presented where equations of elasticity, mass diffusion, and heat transfer are integrated to model the complex processes that take place in composite biomaterials. The neural network loss is specified to include the governing partial different equations which enables both the system …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Blockchain Enabled IoT System for Tamper Proof Monitoring of Polymer Composite Manufacturing Quality
Abstract: Ensuring real-time process compliance in resin-based polymer composite manufacturing remains a persistent challenge due to non-linear material behaviors, unpredictable curing dynamics, and fragmented sensor data pipelines. Traditional centralized monitoring architectures struggle to guarantee data integrity, auditability, and adaptive response under high-frequency environmental fluctuations. Most existing frameworks fall short in unifying trust, traceability, and time-critical decision-making particularly during critical cure-phase deviations due to limited integration of blockchain with intelligent sensor systems. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 126–145 Read article
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RTL-to-GDSII Flow Optimization for Low-Power 32-bit RISC-V Processor
Abstract: This paper presents the implementation and optimization of a 32-bit RISC-V processor, transitioning from Register Transfer Level (RTL) design to final GDSII using Synopsys Fusion Compiler over 32nm technology node. The processor architecture is based on the RV32I base instruction set and incorporates a 5-stage pipeline to achieve a balanced trade-off between performance and design complexity. The design methodology involved RTL synthesis, gate-level netlist generation, and successive physical design stages …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 3, 2025 · pp. 1–10 Read article
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A Study on Precision Blood Propulsion in Motor-Driven Artificial Hearts
Abstract: The development of biocompatible, energy-efficient pumping mechanisms is pivotal for advancing artificial heart (AH) technology. This study explores a motor-driven centrifugal pump designed to replicate the physiological dynamics of natural ventricles while mitigating complications associated with conventional axial and pulsatile systems. The proposed system employs a brushless DC motor with closed-loop control, integrated with pressure and flow sensors to modulate rotational speed (RPM) and generate biomimetic cardiac output. The suggested …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 53–59 Read article
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A New Approach for Modeling the Dynamics of Output Variables of a Spatially Distributed System
Abstract: This paper addresses the development of an average-value based model for the processing system having some peculiar physical constraints which prevent their process variables to have a steady and stable value. As a result, the maintenance of steady balance of the system will become tedious. The continuous observation of that process variable, fixation of its average value on real-time basis, and mathematical model development of above-average value as base factor …
Published in Journal of Power Electronics and Power Systems · Vol. 2, Issue 2, 2012 · pp. 20–33 Read article