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1781 articles for “system evaluation”
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A study on Green Hydrogen in Power Sector
Abstract: In the global shift to a sustainable and decarbonized power sector, green hydrogen produced by electrolyzing water using renewable energy sources like solar, wind, and hydropower has become a crucial option. As nations intensify efforts to meet climate targets and reduce reliance on fossil fuels, green hydrogen offers a versatile energy carrier capable of addressing key challenges including energy storage, grid balancing, and deep decarbonization of hard-to-abate sectors. This paper …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 1, 2026 · pp. 14–21 Read article
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Personality and Behavior Identification Based on Handwriting Analysis
Abstract: Graphing is the process of identifying, evaluating, and understanding a person's personality traits through handwritten patterns. The accuracy of handwriting analysis depends on the skill of the analyst, it is expensive and prone to errors. The proposed approach is therefore focused on building a system that can predict personality traits with the help of machine learning without human intervention. In this project, 657 authors' handwritten samples were taken as datasets. …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 1, 2022 · pp. 42–54 Read article
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Exploring the Therapeutic Potential of Grapeseed Phytoconstituent Through Molecular Docking Analysis for Multiple System Atrophy Treatment
Abstract: Objective: Alpha-synuclein (α-Syn) aggregates are a common neurodegenerative disorder associated with Parkinson’s disease and multiple system atrophy (MSA). As a fruit that is extensively grown, grapes have several pharmacological advantages when it comes to reducing oxidative stress. Research has indicated that grape seed phytoconstituents have a major effect on α-Syn. The objective of this study is to inquire into the pharmacological characteristics and potential therapeutic applications of grape seed derivatives …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 2, 2024 · pp. 14–26 Read article
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Evaluating the Performance and Efficiency of Control Strategies in the Context of Reconfigurable Battery Architectures for Fast- Charging Electric Vehicle Stations
Abstract: Electric vehicles (EVs) are becoming very popular because they help to reduce pollution and save energy. But one big problem is charging, because normal charging take very long time. Many researchers study fast charging methods to make EV charging faster, safe and more efficient. Recent studies show that reconfigurable battery systems can help a lot. These system can change their connection or structure to charge faster and reduce loss. Recent …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 2, 2026 Read article
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Enhanced Sustainable Concrete Mix Design Using LLMs and Advanced Machine Learning Techniques
Abstract: Large Language Models (LLMs) are emerging as transformative tools in materials science, offering human-like reasoning, zero-shot problem solving, and the ability to integrate fuzzy laboratory knowledge with structured data. This study extends and reinterprets the original systematic benchmark for using LLMs in sustainable concrete design, particularly for Alkali-Activated Concrete (AAC). We introduce an enhanced, multi-model framework combining LLM-based inverse design, Random Forest regression, Gaussian Process Regression (GPR), and a lightweight …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 26–33 Read article
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Deep Learning for Traffic Sign Recognition in Autonomous Vehicles: Challenges, Trends and Future Directions
Abstract: Traffic Sign Recognition (TSR) serves as a fundamental task in the domain of autonomous vehicles (AVs), enabling systems to detect, classify, and respond to road signs with the level of accuracy and speed required for safe navigation. As AV technology continues to evolve, the role of intelligent TSR systems has become increasingly vital. Traditional computer vision techniques, while foundational, often fall short under challenging real-world conditions such as poor lighting, …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 2, 2026 · pp. 1–7 Read article
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Variables Influencing the Reinforcing Effect of Organoclay in Polymer Nanocomposites
Abstract: This study examines how several factors affect the mechanical and thermal characteristics, such as tensile strength, tensile modulus, impact strength, thermal decomposition temperature, and Vicat softening point tests of poly(vinyl chloride)/organoclay nanocomposites. The variables included three different organoclay loading levels, three different screw rotation speeds, and three different plasticizer contents. A co-rotating twin-screw extruder was used to create the poly(vinyl chloride)/organoclay nanocomposite via the melt intercalation process. The properties of …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 1, 2025 · pp. 55–64 Read article
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Swachhata Hi Seva: Transforming Public Health, Environmental Sustainability, and Water Stewardship Through Community Engagement
Abstract: Swachhata (cleanliness) is not merely a hygiene practice but a foundational driver of public health, environmental resilience, and sustainable development. Recognizing its multidimensional importance, this research critically examines the “Swachhata Hi Seva” campaign as a transformative, community-led movement that elevates cleanliness from an individual responsibility to a collective civic duty and social commitment. The study highlights how the campaign mobilizes diverse community groups, institutions, and local governance structures to actively …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 4, Issue 1, 2026 · pp. 9–15 Read article
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Fibre Orientation and Void Distribution Analysis in Polymer Composite Structures Using Image Processing
Abstract: Fibre orientation and void distribution are critical microstructural features that govern the mechanical performance and reliability of polymer composite materials. Accurate and simultaneous characterisation of these features remains challenging due to their complex spatial interactions and dependence on processing conditions. In this work, an integrated image-processing framework is proposed for the quantitative analysis of fiber orientation and void distribution in polymer composite structures. High-resolution composite microstructure images are processed through …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 925–933 Read article
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Experimental and Numerical Assessment of Sustainable Machine Tool Design: A Life Cycle Perspective on Structural Optimization and Energy Performance
Abstract: Machine tools are high-mass, energy-intensive systems with long service lives, contributing significantly to the carbon footprint of manufacturing. Enhancing their sustainability requires integrated structural and energy optimization without compromising functionality, accuracy, or productivity. While sustainable design has been studied broadly, systematic reviews from an experimental and applied mechanics perspective remain limited. This paper reviews sustainable machine tool design through a life cycle lens, emphasizing mechanics-based strategies and assessment methods. Key …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 2, 2026 · pp. 13–39 Read article
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Modified Morphology of Wavelet based Transformations for Color Image Compression
Abstract: For the sake of effective transmission and less storage of digital information the signal processing environment requires compression schemes to facilitate easy handling and management of large chunk of information. Such that the redundant data and other chunks of information which can be reproduced from the existing or basic information can be reproduced in no time without requiring large database storages. Wavelet processing is one of such methods which are …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 2, 2015 · pp. 1–9 Read article
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Review on Formulation and Evaluation of Herbal Gel of Moringa oleifera and Aloe vera for management of acne
Abstract: Acne vulgaris is a prevalent chronic inflammatory disorder of the pilosebaceous units, characterized by excessive sebum production, follicular hyperkeratinization, bacterial colonization, and inflammation. Conventional therapies often result in side effects and the development of drug resistance, prompting the exploration of natural alternatives. This review highlights the potential of Moringa oleifera and Aloe vera in acne management via topical drug delivery systems (TDDS). Moringa oleifera is rich in bioactive compounds such …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 1, 2026 · pp. 10–16 Read article
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Role of Artificial Intelligence in Structural Health Monitoring-A Brief Evaluation
Abstract: Artificial intelligence (AI) refers to the capacity of a machine or a computer to ‘think’ or reason in the way a human would, utilizing experience, learned facts, and flexible rules to solve problems that may not fit the standard outlines for a normal algorithm. From this follows the utilization of AI in various sectors, such as the information technology (IT) industry, media, healthcare and medicine, logistics, environmental sustainability, finance, business, …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 34–39 Read article
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Advancements in AI-Driven Sound Spectrogram Analysis: From Deep Learning to Quantum and Neuromorphic Processing
Abstract: The rapid advancement of artificial intelligence (AI) has significantly reshaped the field of audio signal processing, with sound spectrogram analysis emerging as a central research focus. Spectrograms provide a rich time–frequency representation of audio signals, making them particularly suitable for data-driven learning approaches. This paper presents an in-depth and original review of modern AI-based techniques applied to spectrogram analysis, highlighting their growing impact across critical application areas such as healthcare …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article
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Development of Polymer–Micro-Aluminum Composites for Lightweight Engineering Applications
Abstract: This research focuses on the systematic development of polymer–micro aluminum composites, with polypropylene (PP) and epoxy selected as representative polymer matrices. Micro aluminum fillers in the range of 5–25 wt.% were incorporated through melt blending (PP) and casting (epoxy), and the resulting composites were evaluated in terms of mechanical performance, microstructural integrity, and crystalline characteristics. Tensile strength of the composites increased significantly, from 31 MPa in neat PP to 44 …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1–12 Read article
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Review of Simulation Techniques for Microscopic Mobility of Pedestrian Movement
Abstract: Simulation techniques are very useful for developing models or systems over time torepresent the real-world scenarios. The model represents the key characteristics orbehaviors/functions of the selected physical or abstract system or process. Simulationtechniques are useful when the real system cannot be engaged, because of inaccessibility,or dangerous or is unacceptable to engage or does not exist. Microscopic characteristicsof pedestrian traffic consider speeds, walking directions, distances between pedestrians,relative positions, passing behavior and …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 1, 2014 · pp. 27–45 Read article
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Effect of Vidarikand (Extracts) on Oxidative Stability of Ghee: A Comparative Study
Abstract: Antioxidant activities of vidarikand (Pueraria tuberosa) extracts were evaluated and compared with BHA, TBHQ, rosemary and green tea using a β-carotene bleaching assay, a 2, 2-diphenyl-β-picrylhydrazyl (DPPH) assay and the Rancimat method. Phenolic content and antioxidant activity (β-carotene–linoleic acid model system and DPPH assay) of ethanolic extract of vidarikand was more compared to its aqueous extract. Ethanolic extract of the vidarikand was more effective in preventing the development of the …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 2, Issue 1, 2013 · pp. 1–11 Read article
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Modulation of Receptor Proteins: A Recent Paradigm in Drug Discovery and Target
Abstract: The main aim in drug discovery is to design different ligands those work on specific drug targets. However, various effective drugs work through the modulation of many proteins than single target. Advancement in system biology are establishing a phenotypic strength and a network structure, which suggests that, the excellent selective compounds may be performed less than desired clinical efficacy in comparison to multi-target drugs. In this new appreciation of the …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 5, Issue 1, 2018 · pp. 14–24 Read article
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Overview of Database Management Systems: Components, Abstraction, and Applications
Abstract: Computer software called a database management system (DBMS) is made to manage databases effectively and conveniently. The primary goal of DBMSs is to efficiently and conveniently store and retrieve data. This paper provides an overview of the DBMS, including an explanation of its components and the data model that specifies how the data should be organized for a given use. Giving users an abstract view of the data is one …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 3, 2023 · pp. 35–40 Read article
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Computer Aided Drug Designing for Targeted Drug Delivery Systems
Abstract: The discovery and development of a contemporary sedate is widely acknowledged as an extremely difficult task that requires significant resources and effort. Therefore, computer-aided medication design techniques are widely utilized today to increase the productivity of the drug discovery and development process. Among structure-based and ligand-based drug design approaches, both recognized for their efficiency in drug discovery and development, various CADD (Computer-Aided Drug Design) techniques are evaluated based on specific …
Published in Trends in Drug Delivery · Vol. 11, Issue 2, 2024 · pp. 34–41 Read article