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355 articles for “Main frame”
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Solar Panel Defect Detection Using Geospatially-Aware Deep Learning framework
Abstract: Large-scale photovoltaic (PV) systems demand reliable inspection techniques to maintain efficiency, as manual methods remain labor-intensive and inconsistent. This study introduces a geospatially informed deep learning framework for defect detection and localization in PV panels from drone and satellite imagery. The framework incorporates an adaptive tiling mechanism that adjusts tile boundaries according to object size, reducing information loss and enhancing detection performance. In addition, coordinate transformation between image pixels and …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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A Physics-Informed Graph Neural Network Framework for Real- Time Thermal-Aware Fault Prediction and Adaptive Power Optimization in Heterogeneous System-on-Chip Architectures
Abstract: Heterogeneous System-on-Chip (SoC) architectures are increasingly adopted in edge computing, artificial intelligence, autonomous systems, and high-performance embedded platforms due to their superior computational efficiency and flexibility. However, increasing integration density and workload diversity introduce severe thermal hotspots, accelerated device degradation, and unexpected hardware faults that adversely affect system reliability and energy efficiency. This study proposes a Physics-Informed Graph Neural Network (PI-GNN) framework for real-time thermal- aware fault prediction and adaptive …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 · pp. 19–28 Read article
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A Mathematical Perspective on Recent Cloud-Computing Trends for Scalable and Secure Social-Media Platforms
Abstract: Cloud computing underpins modern social-media platforms by providing elastic compute, storage, and data-processing pipelines capable of absorbing highly bursty workloads. This paper surveys recent cloud-native trends—serverless and event-driven design, container orchestration, edge/CDN offload, streaming analytics, and privacy-enhancing security controls—and formalizes their impact through a compact mathematical model. We express workload volatility using arrival-rate functions, use queueing-based capacity sizing to derive auto-scaling rules, and formulate an optimization objective that balances cost …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 35–40 Read article
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Eco-Design Approaches in Modern Machine Tool Construction
Abstract: In the contemporary landscape of manufacturing, sustainability is no longer optional; it is imperative. Within this context, machine tool construction presents a unique set of challenges and opportunities: these heavy, energy-intensive pieces of capital equipment operate across long lifecycles, consume substantial embodied energy and materials, and eventually require disposal or remanufacture. This study explores eco-design approaches tailored specifically to modern machine tools, covering the full lifecycle from material sourcing and …
Published in Trends in Machine design · Vol. 12, Issue 3, 2025 · pp. 23–29 Read article
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Moisture Controlled Water Pump Using Op-Amp
Abstract: Soil moisture monitoring framework is the blend of gadgets that can detect soil moisture, read or store information, and communicate the information back to the computer, which helps organise and understand the soil moisture information. Optimum plant development is primarily dependant on the proper water content in the soil. In order to boost the nature of yields and preserve water assets during irrigation, the soil moisture inspecting apparatus is created …
Published in Recent Trends in Fluid Mechanics · Vol. 9, Issue 1, 2022 · pp. 30–37 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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Analysis of RC Frames Using Different Bracing Systems in Different Positions and Zones
Abstract: Structures are mainly built to enhance the performance of several activities like recreation, transportation, power generation, etc. They are built to sustain the loads coming on them during their service life by carrying adequate strength and also limit the deformation by possessing enough stiffness. Strength of a structure depends mainly upon the characteristics of material with which it is constructed. Stiffness is dependent upon the cross-sectional and geometrical properties of …
Published in Journal of Structural Engineering and Management · Vol. 3, Issue 1, 2016 · pp. 16–27 Read article
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A Basic Framework for Evaluation of Rural Road Network Conditions
Abstract: Evaluation of rural road condition has been extensively used as an effective means to support decision-making on investment and management of rural road in both developed and developing countries. Distresses in the form of surface defects, cracks, deformation, disintegration, are common on rural roads. Rural roads must be maintained to provide safe, efficient fast and economic vehicle operations. Evaluation of conditions is recognized as essential requirements for effective maintenance management …
Published in Trends in Transport Engineering and Applications · Vol. 2, Issue 2, 2015 · pp. 17–22 Read article
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Approximation-Aware Computation for Graceful QoS Degradation in Modern Multiprocessor Operating Systems
Abstract: Modern multiprocessor operating systems face unprecedented challenges in maintaining Quality of Service (QoS) guarantees under dynamic workload conditions and resource constraints. Traditional approaches to resource management often result in abrupt service degradation or complete task failure when system resources become scarce. This study presents a comprehensive framework for approximation-aware computation that enables graceful QoS degradation in multiprocessor environments. We explore the integration of approximate computing paradigms with operating system schedulers, …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 3, 2025 · pp. 08–15 Read article
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A Comparative Machine Learning Framework for Early Prediction of Liver Cancer Using Clinical Attributes
Abstract: One of the main causes of cancer-related death globally is liver cancer, and improving patient outcomes depends heavily on early detection. However, low contrast, noise, organ similarity, and tumor shape and size variability make it difficult to accurately identify and segment liver tumors from medical imaging. Automated liver cancer diagnosis, segmentation, and prognosis have been greatly improved by recent developments in artificial intelligence (AI), especially deep learning. This work presents …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 · pp. 39–47 Read article
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Enhancing Worker Comfort in High-Heat Environments: A Triangular Bladeless Cooling Fan Approach
Abstract: Workers in high-heat industrial environments frequently encounter thermal stress, fatigue, and dehydration, which significantly impact both productivity and safety. Existing cooling solutions such as pedestal fans, ceiling fans, and central air-cooling systems often fall short due to limited airflow reach, safety concerns from exposed blades, high energy consumption, and poor suitability for dynamic workshop layouts. To address these challenges, this study presents a novel triangular bladeless fan designed specifically for …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 25–31 Read article
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Artificial Intelligence and IoT Integration for Real-Time Violence Monitoring
Abstract: The peace and tranquility of any place can be affected greatly by the insurgence of violence and violent attacks that are perpetrated by individuals with malicious and nefarious intentions. These individuals terrorize the areas and can cause a lot of harm and damage to people and public property. The incidences of violence are undesirable and can be problematic to handle by the law enforcement agencies, as these acts are committed …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 39–45 Read article
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Comparative Study of Seismic Performance of Conventional Tube Structures and Diagrid Structure
Abstract: AbstractConstruction of tall building is rapidly increasing throughout the world. Advances in construction technology, structural systems, analysis and design software facilitated the growth of the buildings. Recently, the diagrid structural system has been widely used for tall buildings due to the structural efficiency and aesthetic potential provided by the unique geometric configuration of the system. The “diagrid” is a combination of the two words i.e. diagonal and grid which form …
Published in Journal of Structural Engineering and Management · Vol. 5, Issue 1, 2018 · pp. 32–38 Read article
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Seismic Response for RC Frames on Sloping Ground using Pushover Analysis
Abstract: Open story structures are to be mainly susceptible to collapse and severe damage under earthquake excitation in hill areas. Nowadays many buildings constructed have soft ground story for various purposes, for example, multipurpose hall, parking etc. The examination has been led to get the reaction of RC open story building exposed to seismic tremor loads. In present work, twelve storied structure on inclined ground (150 with horizontal) are considered. The …
Published in Journal of Structural Engineering and Management · Vol. 7, Issue 2, 2020 · pp. 36–46 Read article
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Sustainable Waste Management Using AI and Robotics
Abstract: The fast increment in squander era around the world has driven to noteworthy natural and open wellbeing concerns. Conventional squander administration strategies, which depend intensely on manual labor and obsolete forms, are battling to keep up with the developing volume, driving to wasteful aspects and environmental harm. AI and Mechanical autonomy give inventive arrangements by improving effectiveness in squander collection, sorting, reusing, and transfer. AI-driven squander sorting frameworks optimize exactness, …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 42–48 Read article
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Predictive Maintenance Strategies for Safety-critical Mechanical Systems
Abstract: Ensuring the reliability and safety of industrial systems is essential, especially in high-risk sectors such as aerospace, manufacturing, and energy. Predictive maintenance (PdM) has become a crucial approach for minimizing operational failures and improving maintenance efficiency. This research introduces an advanced PdM framework that enhances industrial safety by integrating Internet of Things (IoT) technology, machine learning (ML), and big data analytics. By enabling real-time monitoring and predictive fault detection, this …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 12–17 Read article
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A Comprehensive Review of CNN-Based Framework for Multi-Sign Detection of Diabetic Retinopathy in Fundus Images Using Public Datasets
Abstract: Diabetic retinopathy (DR) is one of the main causes of vision impairment. Blindness prevention and effective treatment depend on early detection. A thorough deep learning-based framework for the automatic segmentation and simultaneous detection of exudates, hemorrhages, and microaneurysms – three important DR indicators – from retinal fundus images is presented in this work. These three pathological signs’ corresponding annotated image patches, along with background (no-sign) areas, were used to train …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 14–23 Read article
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Comparative Study of Rigid Framed Structure and Tubular Structure
Abstract: India is a developing country and some cities are populated very densely and the population is increasing day by day. Industrialization leads to the migration of people to urban areas from rural areas where job opportunities are prominent. To provide housing space and working space to this extra population there is a need for horizontal development but due to lack of space availability vertical development is needed. Therefore, the demand …
Published in Journal of Structural Engineering and Management · Vol. 8, Issue 2, 2021 · pp. 54–58 Read article
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Seismic Analysis of G+30 RCC Frmaed Structure and Use of R.C Jacketing
Abstract: In high-rise buildings, such as G+30 reinforced concrete (RCC) framed structures, key concerns during seismic events include maintaining structural integrity, preventing catastrophic collapse, and ensuring the safety of occupants. Seismic retrofitting is a vital process aimed at enhancing the resilience of such buildings and infrastructure against earthquake forces, by strengthening their ability to withstand seismic activity. This abstract provides an overview of numerous seismic retrofitting projects implemented worldwide, focusing on …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 20–37 Read article
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AI-Driven Exam Grading, Percentile Calculation, and Plagiarism Detection System for Educational Integrity
Abstract: The influence of artificial intelligence (AI) on academic evaluation has become increasingly significant, particularly in areas such as automated grading, large-scale content analysis, and plagiarism detection. These technologies provide educators with rapid processing, consistent scoring, and timely feedback that can support both teaching and learning. However, alongside these advantages, serious concerns have emerged regarding the reliability and fairness of AI-driven assessments. The growing presence of AI-generated content has further complicated …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 07–12 Read article