Search
845 articles for “base frame”
-
Kinematic and Dynamic Modelling of a 6-DOF Robotic Manipulator for Industrial Applications
Abstract: The rapid evolution of industrial automation has intensified the need for highly accurate, flexible, and intelligent robotic systems capable of operating in dynamic and demanding environments. Among these systems, six-degree-of-freedom (6-DOF) robotic manipulators have emerged as a versatile solution due to their superior dexterity, large workspace, and human-arm-like motion capabilities. This research focuses on the comprehensive kinematic and dynamic modelling of a 6-DOF robotic manipulator designed for various industrial tasks …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 27–32 Read article
-
Multimodal Data Fusion with Hybrid Machine Learning for Enhanced Prediction of Li-Ion Battery Remaining Useful Life and State of Charge
Abstract: Lithium-ion battery materials used in modern energy storage systems are required to exhibit high reliability, safety, and long lifecycle performance under varying operational and environmental conditions. Accurate prediction of Remaining Useful Life (RUL) and State of Charge (SoC) is therefore essential for understanding material degradation behavior, improving manufacturing quality, and enabling effective lifecycle management. However, nonlinear electrochemical aging, load variability, and thermal uncertainty significantly complicate accurate estimation of these parameters. …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 4, Issue 1, 2026 · pp. 11–23 Read article
-
Very Short-Term Load Forecasting Using Gaussian Process Regression
Abstract: Very Short-Term Load Forecasting (VSTLF) is critical for real-time grid stability, frequency control, and economic dispatch. This study proposes a Gaussian Process Regression (GPR)-based framework for one-hour-ahead load forecasting using hourly data from January 2020 to April 2024 for Delhi, India. The model incorporates meteorological data such as temperature, humidity, and dew point with lagged load values. The research takes into account time-related dependencies and seasonal changes in order to …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 91–104 Read article
-
Physicochemical Transitions and Polymerization Dynamics in Multi-Generational Dentin Adhesives: A Critical Review of the Resin-Dentin Composite Interface
Abstract: Adhesive dentistry has undergone a transformative refinement over the past three decades, transitioning from technique-sensitive, multi-step etch-and-rinse protocols to streamlined universal formulations. This narrative review critically synthesizes evidence from thirty peer-reviewed investigations to evaluate the evolution of dentin bonding agents from the fourth through the eighth generations. The analysis places particular emphasis on the physicochemical dynamics of the resin-dentin interface, including interfacial bond strength metrics, marginal integrity, and microleakage behavior. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 209–228 Read article
-
An Empirical Study on USA Tariff on Indian Sectorial Mutual Fund
Abstract: This study examines the impact of USA tariff on sectorial mutual fund of India. Any type of tariff has significant impact on trade in all over the world. In today’s world, is interconnected with each other so any impact on one country has significantly impact on all over the world. India has impacted in periodic tariff increase on Indian goods, directly affecting export competitiveness, financial result, and economic market. Sectorial …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 1, 2026 · pp. 37–42 Read article
-
A Review on Electric Spring Utilization for Smart Grid Structure in Power Generation
Abstract: The review documents contained in the literature are either completely off the non-critical load or forwarded within a convenient time frame based on the resulting satisfaction. In this study, instead of shifting critical loads to other terms, they tried to adjust the energy consumption of non-critical loads with the help of AC. A rule-based energy management algorithm is proposed, which uses electric springs to use AC microgrids.A new DC/DC converter …
Published in Journal of Semiconductor Devices and Circuits · Vol. 8, Issue 1, 2021 · pp. 37–43 Read article
-
Knowledge On Biomedical Waste Management Among II Year GNM Students At Dr.B.R.Ambedkar Institute Of Nursing,Bengaluru
Abstract: Objectives: To assess the knowledge on Biomedical waste management among II Year GNM Students at Dr.B.R.Ambedkar Institute of Nursing,Bengaluru.”To associate the knowledge on Biomedical waste management among II Year GNM Students with their selected demographic variables.Hypothesis: There will be a significant association between the level of knowledge on biomedical waste management among II Year GNM Students with their selected demographic variables.Conceptual framework: The conceptual framework based on Health Belief Model, …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 3, 2023 · pp. 52–69 Read article
-
Sustainability Challenges, Transition Dynamics, and Collapse of Small-Scale Poultry Farming Systems: Economic, Technical, and Environmental Perspectives
Abstract: Small-scale poultry farming plays a vital role in food security, income generation, and rural livelihoods globally. However, the sector is experiencing a rapid decline driven by interconnected economic, biological, environmental, and institutional challenges. This review synthesizes recent evidence and develops a systems-based framework to explain the depletion of small-scale poultry farms in the country. A dominant driver is the persistent cost–price imbalance, where rising input costs, particularly feed, are not …
Published in International Journal of Sustainability · Vol. 3, Issue 2, 2026 · pp. 38–46 Read article
-
A Hybrid Multi-Physics Ensemble Deep Learning Framework for Simultaneous Prediction of Thermal and Electrical Conductivity in Functional Polymer-Based Nanocomposites
Abstract: Polymer-based nanocomposites have become promising materials for applications in energy storage, flexible electronics, biomedical devices, aerospace components, and advanced engineering because of their tunable thermal and electrical properties. Reliable prediction of these properties is essential for accelerating material design; however, existing analytical models and conventional machine learning techniques often fail to represent the complex interactions among filler characteristics, polymer matrices, processing conditions, and interfacial transport phenomena. This work presents HMEP-Net, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1062–1082 Read article
-
Contract and Feature Extraction of CBIR Method Using Soft Computing Techniques in Machine Learning
Abstract: There is expansion in size of picture securing and information capacity strategies and furthermore there is expansion in data set of pictures. Prior text-based depiction and manual comment of pictures were utilized for recovery of pictures that was a tedious errand. The need of great importance is to deal with the huge assortments through proficient frameworks called content-based picture recovery frameworks. For this situation visual items in the picture like …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 1, 2022 · pp. 17–26 Read article
-
ANALYSIS OF G+15 NORMAL RCC FRAME AND ZIPPER BRACED FRAME BY PUSH OVER METHOD IN SAP2000
Abstract: This paper describes the comparative analysed results of R.C.C zipper braced frame with standard RCC regular frame for residential building of G+15 storey. The modelling of zipper braced frame were done by using pushover analysis method in SAP2000 software. Pushover analysis were performed for estimating the hinges in both frames, displacement, base shear and modal time period. The analysis indicates that there is almost insignificant hinges in zipper braced frame …
Published in Recent Trends in Civil Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 21–34 Read article
-
Deep Learning for Real-Time Monitoring and Defect Detection in Additive Manufactured Polymer Composites
Abstract: Additives Fiber-reinforced polymer composite ADDs have high utility in making lightweight structural components, but due to process-related defects (interlayer delamination and reinforcement stacking) the integrity of consolidation during extrusion-based deposition is frequently compromised. This paper has presented a physics-informed deep learning framework that is applicable to real-time measurements of reinforced thermoplastic composite fabrication. Multimodal sensing was provided with thermal gradient, optical morphology, and acoustics emission signals being used to assess …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 974–999 Read article
-
Design and Analysis of Hybrid System using Fuzzy Logic Controller
Abstract: The overall system is controlled by fuzzy logics. Load power consumes the power in sequence to solar power, wind power and the battery system power. Accordingly power delivered to the load. In the proposed framework, power is overseen or constrained by fluffy rationale regulators. The exhibition enhancement of half breed framework is examinations with sunlight based PV boards, wind turbine and the battery frameworks. The overall model & controlling strategies …
Published in Journal of Semiconductor Devices and Circuits · Vol. 8, Issue 2, 2021 · pp. 21–27 Read article
-
Missile Tracking, Detection and Firing System
Abstract: The aim of this paper is to plan and build programmed missile tracking and detection framework. This framework is intended to distinguish the object (rocket) moving in different directions. The target terminating framework moves consequently toward rocket and fires it after fixing the target. This framework comprises of an intelligent sonar based tracking framework that persistently screens the target. After identifying the target, it sends the location to a central …
Published in Journal of Control & Instrumentation · Vol. 7, Issue 1, 2016 · pp. 1–6 Read article
-
An In-depth Exploration of Contemporary Student Management Systems
Abstract: Thе studеnt managеmеnt systеm (SMS) sеrvеs as a pivotal tool for еducational institutеs and collеgеs, strеamlining thе complеx task of maintaining accuratе and up-to-datе studеnt information. This papеr dеlvеs into thе comprеhеnsivе functionalitiеs of SMS, еncompassing studеnt rеcords, acadеmic rеports, collеgе dеtails, coursе spеcifics, curriculum managеmеnt, batch information, placеmеnt rеcords, and various rеsourcе-rеlatеd data. Thе systеm mеticulously tracks a studеnt's acadеmic journеy from еnrollmеnt to coursе complеtion, providing a sеcurе …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 56–61 Read article
-
A Particle-Derived Nonlinear Dynamical Framework for Bubble Oscillations: Reduced-Order Modeling, Bifurcation Analysis, and Optimal Stabilization
Abstract: Particle-based fluid simulation has emerged as a powerful computational framework for modeling complex multiphase flows involving large deformations, moving interfaces, and nonlinear fluid interactions that challenge conventional mesh-based approaches. In this work, a nonlinear dynamical systems framework is developed for particle-resolved bubble oscillations by constructing a reduced-order model that preserves the dominant physical mechanisms governing bubble interface evolution. The formulation represents the bubble dynamics through coupled radial and shape deformation …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 11–33 Read article
-
Text-based Graphical Password System to Enhance Security
Abstract: A graphical password is a type of authentication that requires the user to choose from a set of images in a certain order. For most people, remembering a graphical password is easier than remembering a text-based password. Passwords with graphics may be more difficult to remember. offer better security than text-based passwords. Humans can remember pictures much better than the text. To create passwords more memorable and less vulnerable to …
Published in Trends in Opto-electro & Optical Communication Read article
-
Text based Graphical Password System to Enhance Security
Abstract: A graphical password is a type of authentication that requires the user to choose from a set of images in a certain order. For most people, remembering a graphical password is easier than remembering a text-based password. Passwords with graphics may be more difficult to remember. offer better security than text-based passwords. Humans can remember pictures much better than the text. To create passwords more memorable and less vulnerable to …
Published in Trends in Opto-electro & Optical Communication · Vol. 11, Issue 3, 2021 · pp. 8–14 Read article
-
Application of Artificial Neural Networks in Optimizing Polyhouse Roof Truss Design
Abstract: Polyhouses are specialised agricultural structures developed to maintain controlled environmental conditions for crop cultivation, thereby ensuring consistent productivity even under adverse climatic circumstances. The performance of these systems largely relies on the structural stability and cost efficiency of the roof truss, which must achieve an effective balance between strength, adaptability, and economy. In this research, an Artificial Neural Network (ANN)-based modelling framework is introduced to optimise the members of polyhouse …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 15–25 Read article
-
Passive Digital Phenotyping for Longitudinal Burnout and Occupational Mental Health Surveillance: A Transformer-Based Explainable Deep Learning Approach Using Smartphone Behavioral Streams
Abstract: Occupational burnout constitutes a pervasive yet chronically under-surveilled public health threat, its insidious temporal evolution rendering episodic self-report instruments structurally inadequate for early detection. This paper introduces BurnoutSense, a passive digital phenotyping framework that continuously harvests eight heterogeneous smartphone behavioral data streams encompassing application usage ecology, communication metadata, geospatial mobility, screen interaction dynamics, inferred sleep rhythmicity, keystroke kinematics, ambient noise exposure, and battery/charging cadence to construct individualized multivariate behavioral signatures …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 2, 2026 · pp. 44–53 Read article