Search
78 articles for “modular system”
-
A Review Paper of Automated Driving & ADAS Technologies
Abstract: Automated driving and Advanced Driver Assistance Systems (ADAS) are transforming road mobility, promising enhanced safety, improved traffic efficiency, and greater accessibility. This review presents a comprehensive synthesis of core technologies, system architectures, sensor modalities, perception and decision-making algorithms, and evaluation methodologies underpinning contemporary ADAS and automated driving. We provide a detailed discussion of the functional components—sensors (camera, radar, LiDAR, ultrasonic), localization, perception, prediction, planning, control, and human–machine interfaces—and how these …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 1–7 Read article
-
Trussed Bridges
Abstract: Trussed railway bridges offer a unique structural advantage by efficiently distributing the load between the truss members and the girder. In such designs, a significant portion of the load is carried by the truss members, which reduces the stress on the bridge girder itself. As a result, the girder in a trussed bridge can be constructed with a reduced thickness compared to bridges that lack a truss system. This optimization …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 11–16 Read article
-
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 Read article
-
Design of Maritime Empennage Unmanned Aerial Vehicle (UAV): A Comprehensive Study
Abstract: This project presents a comprehensive study on the design and development of a maritime empennage unmanned aerial vehicle (UAV) tailored for operations in coastal and naval environments. The primary objective is to engineer an efficient, stable, and mission-adaptable UAV with an optimized empennage configuration that enhances aerodynamic performance and control in maritime conditions. The study involves a systematic design process encompassing mission requirement analysis, conceptual and preliminary design, aerodynamic modeling, …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 Read article
-
The Next Era of Nuclear Engineering: Beyond Fission
Abstract: Nuclear engineering is going through a big change as new technologies strain the limits of classical fission-based power generation. This article talks about the future generation of nuclear technologies, such as new reactor designs, small modular reactors (SMRs), and the growing potential of nuclear fusion. It looks at how these changes are meant to make nuclear energy safer, use less fuel, and create less long-lived radioactive waste, which are all …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 35–41 Read article
-
Deep Learning-Enhanced Polymer-Based Wearable Biosensors for Continuous Health Tracking via IoT
Abstract: The rapid proliferation of wearable biosensor technologies has transformed approaches to real-time health monitoring, yet challenges persist in achieving both mechanical robustness and reliable, continuous data analytics in dynamic environments. Conventional polymer-based sensing systems often fall short due to limited signal fidelity, inadequate adaptive analytics, or insufficient integration with secure, low-latency IoT frameworks. Addressing these deficiencies, this work introduces a flexible, deep learning-enhanced wearable biosensor platform that combines a nanostructured …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 18–31 Read article
-
Low-Grade Heat Recovery: Emerging Materials and Systems for Efficient Utilization
Abstract: Low-grade heat (LGH), generally characterized by temperatures below 200°C, constitutes a significant portion of wasted thermal energy in industrial, commercial, and even residential processes. Despite its vast availability, the efficient recovery and utilization of LGH remains underdeveloped due to its inherently low exergy content and the limitations of traditional heat recovery technologies. The creation of cutting-edge materials and creative system-level approaches for LGH recovery has accelerated significantly as companies continue …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 1, 2025 · pp. 24–29 Read article
-
A simple analytical theory for the preliminary structural design of submarine
Abstract: An Underwater Vehicle (UV) is designed to function underwater and range from an Autonomous UV to a submarine. The main difficulty that UV designers face is minimizing the weight of the pressure hull to maximize payload and propulsion velocity while reducing construction cost and time by employing appropriate material and design approaches. Herein, we examine applications geared toward submarines as well as the creation and development of an analytical model …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 1, 2024 · pp. 1–11 Read article
-
Design and Implementation of 256-bit Vedic Multiplier on Reconfigurable Platform
Abstract: Multiplication is a fundamental arithmetic operation in digital signal processing and embedded systems. Traditional multiplier architectures often suffer from increased latency and resource utilization when scaled to higher bit widths. Vedic Mathematics, an ancient Indian technique, offers a novel and efficient alternative. This paper presents the design and implementation of a 256-bit Vedic multiplier using the Urdhva Tiryakbhyam Sutra on a reconfigurable hardware platform, specifically FPGA. The proposed architecture decomposes …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 3, 2025 · pp. 56–65 Read article
-
A Web Application for Predicting Diabetes Using Machine Learning Methods
Abstract: Diabetes is a long-term disease caused by high glucose quantity in the blood. It has the potential to result in serious health complications like heart disease, hypertension, and ocular damage. It is good to identify any health issues as early as possible to get the right medical treatment and make necessary lifestyle adjustments. One makes use of machine learning techniques to predict diabetes and develop treatment options using actual cases. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 92–102 Read article
-
Flora Guardian: An Advanced Robotic System for Sustainable Weed Control and Precision Pesticide Application
Abstract: Agricultural systems are under pressure to enhance crop productivity while minimizing environmental damage. Efficient weed control and pesticide application are fundamental for sustainable agriculture, but traditional methods often fall short due to high labor costs and ecological harm. Existing robotic solutions, including drones and multi-legged robots, exhibit significant limitations, such as operational complexity and limited payload capacity. In contrast, Flora Guardian represents a novel approach by combining of weed detection …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 1, 2025 · pp. 21–28 Read article
-
An Automated Smart Contract Repair Framework for Reentrancy, Integer Overflow, and Denial- of-Service Vulnerabilities
Abstract: This paper introduces a novel static analysis framework designed to bridge a long-standing gap in Ethereum smart contract security: the disconnect between vulnerability detection and automated remediation. Although widely adopted tools such as Slither and Oyente are highly effective at identifying security weaknesses, they stop short of providing actionable fixes. As a result, developers manually patch vulnerabilities, a process that is not only time-consuming but also susceptible to human error …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 31–41 Read article
-
Advancing Gene Therapy: Next-Generation Viral Vector Engineering for Precision, Safety, and Scalability
Abstract: Gene therapy has emerged as a paradigm-shifting modality for the treatment of genetic disorders, malignancies, and rare diseases through the delivery of therapeutic nucleic acids aimed at correcting or modulating dysfunctional gene expression. Among the various delivery systems, viral vectors including adeno-associated viruses (AAVs), lentiviruses, adenoviruses, retroviruses, and herpes simplex viruses have proven indispensable owing to their high transduction efficiencies and adaptability. This review offers a comprehensive assessment of viral …
Published in International Journal of Virus Studies · Vol. 2, Issue 2, 2025 · pp. 37–55 Read article
-
Terraform: Accelerating Infrastructure Deployment Through Infrastructsure as Code
Abstract: This paper provides an in-depth analysis of Terraform; an open-source Infrastructure as Code (IaC) tool developed by HashiCorp. It explores how Terraform transforms the way infrastructure is built, managed, and maintained across different cloud platforms and on-premises systems. Through a detailed analysis of its features, workflow, and real-world applications, we demonstrate how Terraform significantly enhances operational efficiency, reduces deployment times, and ensures consistency in infrastructure management. The paper includes code …
Published in Journal of Open Source Developments · Vol. 11, Issue 3, 2024 · pp. 7–15 Read article
-
Reimagining Solid Waste Management in India: A case of Circular approach in C&D Waste Management
Abstract: Construction and demolition (C&D) waste, which accounts for an estimated 150–500 MT yearly and about 10–20% of the nation's total municipal solid waste (MSW) generation, is a significant management challenge for India. Accelerated urbanization, population increase, infrastructural expansion, and urban redevelopment initiatives are the main causes of this quickly expanding waste stream. Much of this waste is disposed of through uncontrolled dumping, encroachment on low-lying areas, and overcrowded landfills in …
Published in Journal of Construction Engineering, Technology & Management · Vol. 16, Issue 1, 2026 · pp. 1–10 Read article
-
AquaSential: Autonomous UAV-Based Water Quality Monitoring System
Abstract: The increasing occurrence of waterborne health risks and the presence of harmful microorganisms in freshwater environments highlight the need for rapid and continuous water quality monitoring. Traditional laboratory-based testing methods often require significant time and manual sampling, limiting their ability to provide immediate information about changing environmental conditions. This work presents AquaSential, a low-cost, portable, and UAV-ready water quality monitoring system designed for real-time assessment of freshwater bodies. The proposed …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
-
Flying Drone Using KK Flight Controller
Abstract: This paper presents the design, development, and testing of a quadcopter drone using the KK2.1.5 flight controller, with an emphasis on stability and educational value. The KK2.1.5 controller features are inbuilt LCD screen, inbuilt programming, enabling direct configuration and tuning without the need for a computer interface, which makes it highly suitable for beginners and students. The drone is built using a modular frame architecture, which allows for easy replacement …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 2, 2025 · pp. 20–25 Read article
-
Hybrid Approach for Community Detection Using Deep Learning Techniques
Abstract: Community detection in complex networks is a fundamental problem with applications across diverse domains, ranging from social networks to biological systems and beyond. Traditional methods based on graph theory have been widely used for identifying communities within networks. However, the intricate and evolving nature of modern networks demands more sophisticated approaches. This research work proposes a hybrid approach that combines the strengths of deep learning techniques with traditional community detection …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 18–26 Read article