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88 articles for “Achieving multi-objectives”
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A Digital 3D Classroom Using Sixth Sense and Holography Technology
Abstract: Sixth sense with holography visualizes a better world. Whenever we confront a new object our sense try to sight and analyze that particular object and makes us keep in touch with them. But to know the complete information about a particular commodity we should go through it in detail by surfing on net or asking the relevant person for more information. Instead, sixth sense along with 3D holography technology can …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 3, Issue 2, 2016 · pp. 1–5 Read article
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Optimizing Economic Load Dispatch in a 10-Unit System Using the SSA Method
Abstract: The optimization of economic load dispatch (ELD) in a 10-unit power system employing the social spider algorithm (SSA) method is reported. ELD is a critical aspect of power system operation, aiming to allocate the power generation among multiple units efficiently while meeting the demand at the lowest possible cost. The SSA method, inspired by the collaborative behavior of social spiders, demonstrates its efficacy in solving optimization problems. In this research, …
Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 · pp. 1–13 Read article
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Fuzzy Keyword Search over Encrypted Data in Cloud Computing using String Matching Algorithm
Abstract: AbstractAs cloud computing ends up plainly overarching, over and extra sensitive information square measure being incorporated into the cloud. In spite of the fact that antiquated accessible encoding plans empower a client to immovably seek over scrambled learning through catchphrases and by choice recover records of premium, these systems bolster exclusively exact watchword look. Amid this paper, for the most vital time, we have a tendency to celebrate and explain …
Published in Journal of Operating Systems Development & Trends · Vol. 4, Issue 2, 2017 · pp. 8–12 Read article
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Virtual Method to Predict Dental Disease
Abstract: The integration of technology and medicine in the healthcare domain has led to the emergence of inventive strategies to improve patient care and diagnostics. One such groundbreaking methodology is the utilization of Convolutional Neural Networks (CNNs) within the domain of deep learning, particularly for image recognition and processing tasks. In this paper, we propose a novel approach to image recognition that employs state-of-the-art deep learning algorithms to create a user-friendly …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 8–15 Read article
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Hierarchical Computational Modeling of Physical Structure Across Quark, Nuclear, and Atomic Scales
Abstract: We present a modular, multi-scale computational framework that integrates physical modeling and visualization across quark, nuclear, and atomic scales within a unified pipeline. Developed to address the traditional fragmentation between sub-nucleonic, nuclear, and electronic representations, the system provides a continuous data flow and visualization bridge spanning from femtometers to ångströms. The framework consists of three primary modules: a particle-level module illustrating nucleons as confined quark-triplets with effective flux-tube geometries; a …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 1, 2026 · pp. 38–53 Read article
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Review on Investigation of Tailor Welded Blanks of Dissimilar Aluminum-Magnesium Alloys and Hybrid Carbon Composites
Abstract: Reduction in weight, better fuel efficiency and cost effectiveness are the salient attractive features of Aluminum-Magnesium alloys and carbon composite materials. By making use of tailor welded blanks of dis similar materials of different strengths at appropriate locations in automobile outer body, one can achieve these objectives. At the same time, fabrication of these Tailor Welded blanks of Aluminum-Magnesium alloys, next generation carbon composite materials by usual fusion welding processes …
Published in Journal of Polymer & Composites · Vol. 9, Issue 2, 2021 · pp. 66–73 Read article
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Analysis of Two way Continuous Bridge under Moving Loads
Abstract: The analysis of dynamic behavior of bridge structures that are subjected to moving loads has been one of the research interests in recent years. Specifically in railway bridges, Resonance occurs when the load frequency is equal to a multiple of natural frequency of the structure. Resonance vibrations have been observed in railway bridges especially subjected to High Speed Lines. They are caused mainly because of two reasons one is the …
Published in Journal of Structural Engineering and Management · Vol. 6, Issue 2, 2019 · pp. 7–12 Read article
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Dynamic Analysis of Railway track and SSI effect
Abstract: The analysis of dynamic behavior of bridge structures that are subjected to moving loads has been one of the research interests in recent years. Specifically in railway bridges, Resonance occurs when the load frequency is equal to a multiple of natural frequency of the structure. Resonance vibrations have been observed in railway bridges especially subjected to High Speed Lines. They are caused mainly because of two reasons one is the …
Published in Journal of Structural Engineering and Management · Vol. 6, Issue 1, 2019 · pp. 37–41 Read article
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Impact of Information Technology Tools and AI on Supply Chain Management of Indian Automobile Industry
Abstract: This article aims to enhance the efficiency and effectiveness of the supply chain within the Indian automotive sector through the application of innovative information technology tools and artificial intelligence. To achieve this goal, the study focuses on three main objectives: identifying key driving factors through an extensive literature review, analyzing the interrelationships among these factors, and prioritizing them based on their importance. In today's competitive environment, customer satisfaction is paramount …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 2, 2024 · pp. 19–27 Read article
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Genomic Selection for Grain Yield in Wheat Using Machine Learning on DArT Molecular Markers: A Comparative Evaluation Across Multi-Environment Trials
Abstract: Genomic selection (GS) predicts complex quantitative traits directly from genome-wide molecular markers, bypassing the need for extensive phenotypic trials and accelerating plant breeding cycles. We conducted a comparative evaluation of seven regression approaches — ridge regression (the machine-learning equivalent of RR-BLUP), Lasso, Elastic Net, Partial Least Squares, linear Support Vector Regression, Random Forest, and Gradient Boosting — for predicting grain yield from 1,279 Diversity Array Technology (DArT) molecular markers genotyped …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Representation-Theoretic Symmetry Reduction and Fuzzy-Grey Optimization of Modular Vibration Systems
Abstract: This paper presents a representation-theoretic framework for symmetry-aware vibration control in modular structural systems. Exploiting cyclic symmetry, the mass, damping, and stiffness operators are block-diagonalised into irreducible representations, reducing the full structural dynamics to a collection of lower-dimensional modal subsystems. This decomposition provides both computational efficiency and a rigorous mathematical description of symmetry-preserving dynamic behaviour. To account for imperfections arising in practical implementations, near-symmetry defects in stiffness and damping are …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 22–30 Read article
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Evaluating Factors Effecting Building Construction Labor Productivity in Somaliland
Abstract: The construction industry has been referred to as having a multiplier effect on the performance of any economy. Poor productivity of workers is one of the most overwhelming problems faced by construction industries, especially those in developing countries, the poor productivity of labor can cause a project cost and time overrun. The pinpointing of the factors that affect labor productivity would enable the project team to effectively use the resources …
Published in Journal of Construction Engineering, Technology & Management · Vol. 11, Issue 2, 2021 · pp. 19–28 Read article
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PROJECT PLANNING AND CONSTRUCTION USING ROBOTICS AND AUGMENTED REALITY
Abstract: The construction industry is based on human resources, specifically for on-site construction processes. The conventional construction practices require an absolute amount of workforce and skilled labour to achieve the aimed efficiency in terms of construction duration and cost, and building quality. Besides, lack of workforce and sufficiently skilled labour can affect the overall duration, cost, and quality targets. Therefore, based on these issues, advanced robotic technologies have been developed to …
Published in Journal of Mechatronics and Automation · Vol. 10, Issue 1, 2023 · pp. 1–6 Read article
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Estimation of Burger Model Parameters by Inverse Analysis of Oedometer Data
Abstract: Contrary to the forward analysis, inverse analysis can be effectively utilized to determine the parameters of a constitutive model commonly used to represent the stress-strain-time behavior or the load-deformation-time behavior of the soil. This paper reports the development of a generalized inverse analysis formulation for the parameter estimation of four-parameter Burger model. The analysis is carried out by formulating the problem as that of mathematical programming in terms of identification …
Published in Recent Trends in Civil Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 37–54 Read article
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Modernization and Digitization in Power Grid Sub-Stations– The Prime tool for Multi Objective Optimization Methods.
Abstract: All Grid Sub-stations has four sections to control, operate and protect the large gamut electrical Power for its smooth flow till to the end customer.1. Generation, Loading, Conversion and Carrier Devices: We have generators as generation device, Motors and other electrical equipment as Loading device, Transformers as conversion device and Electrical Conductors as Carrier device. On technology front in this section, we have not experienced much technological changes. Only the …
Published in Trends in Opto-electro & Optical Communication · Vol. 12, Issue 1, 2022 · pp. 10–18 Read article
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The Emerging Golden Age of Astrophysics: Progress, Discoveries, and Future Directions
Abstract: The period between 2024 and 2026 has marked a transformative era in astrophysics, fundamentally reshaping our understanding of the universe and its underlying physical mechanisms. Significant advancements in observational astronomy, computational modeling, and space exploration technologies have enabled scientists to investigate cosmic phenomena with unprecedented precision. Among the most groundbreaking achievements, the James Webb Space Telescope (JWST) has provided high-resolution infrared observations that revealed the large-scale distribution of dark matter, …
Published in International Journal of Universe · Vol. 2, Issue 1, 2026 · pp. 6–9 Read article
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Constrained Online Non Negative Matrix Factorization (CONMF) for Visual Tracking
Abstract: Visual tracking is the process of locating a moving object (or multiple objects) over time using a camera. It is one of the most important components in numerous applications such as military, secure control, crime prevention systems, access control and biometric identification etc. of computer vision. In visual tracking, holistic and part-based representations are both popular choices to model target appearance. The former is known for great efficiency and convenience …
Published in Current Trends in Signal Processing · Vol. 7, Issue 1, 2017 · pp. 8–18 Read article
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AI-Designed Functionally Graded Polymer Composites for Multifunctional Thin Films
Abstract: The design of multifunctional polymer composite thin films requires simultaneous optimization of mechanical, optical, barrier, and thermal properties—objectives often in conflict when using conventional homogeneous materials. This study presents an artificial intelligence-driven framework for designing functionally graded material (FGM) architectures in polymer nanocomposite thin films. We integrated machine learning with physics-based modeling to optimize compositional gradients across film thickness, achieving superior performance compared to homogeneous and discrete multilayer alternatives. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1026–1041 Read article
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Machine Learning Assisted Optimization of Nanoscale MOSFET Parameters Using TCAD Simulation
Abstract: This paper presents a machine learning (ML) assisted framework for the multi-objective optimization of nanoscale bulk n-channel metal-oxide-semiconductor field-effect transistors (nMOSFETs) with a 10 nm physical gate length, high-k HfO₂ gate dielectric, and TiN metal gate. Technology computer-aided design (TCAD) simulations employing drift-diffusion transport, Shockley-Read-Hall recombination, Lombardi mobility degradation, and density- gradient quantum correction models are used to generate a parametric dataset of 2,400 device configurations spanning gate length (L), …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 1, 2026 · pp. 10–19 Read article
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Inlay Work in Interiors: From Tradition to Innovation, Materiality to Mastery
Abstract: Inlay work, an ancient decorative technique, continues to captivate and inspire within the realm of interior design. This research paper delves into the multifaceted world of inlay work, tracing its rich history, exploring its contemporary applications, and speculating on its future in interior design. The historical evolution of inlay work serves as the foundation for this exploration. From its origins in ancient civilizations such as Egypt and Mesopotamia to its …
Published in International Journal of Trends in Humanities · Vol. 1, Issue 1, 2024 · pp. 01–12 Read article