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105 articles for “autonomous”
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A Study on Securing the Local Area Network with the Immutable Trust of Blockchain
Abstract: The contemporary Local Area Network (LAN) is the digital circulatory system of the modern enterprise, a vital yet perilously vulnerable ecosystem. Traditional security paradigms, built upon centralized authority models – firewalls, intrusion detection systems, and privileged administrators – increasingly resemble medieval castles in an age of artillery. They present a brittle single point of failure: compromise the center, and the entire kingdom falls. This paper proposes a radical architectural shift, …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 24–35 Read article
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AI-Driven Predictive Maintenance in Smart Homes: Enhancing Efficiency and Reliability
Abstract: The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has transformed smart homes into intelligent, self-regulating environments. Despite these advancements, ensuring the long-term reliability and efficiency of interconnected devices remains a complex challenge due to device heterogeneity, dynamic usage patterns, and continuous data streams. This study investigates AI-driven predictive maintenance (PdM) as a proactive strategy for detecting early signs of equipment degradation in residential settings. The proposed …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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A study AI-Driven IoT in Self-Healing Grid Power Systems
Abstract: Modern electricity infrastructure is undergoing a transformation thanks to the combination of artificial intelligence (AI) and the Internet of Things (IoT), especially in the development of self- healing grid systems. In the context of smart grid automation and resilience, this article provides a thorough review of AI-driven IoT infrastructures. By leveraging distributed sensor networks, real-time data acquisition, and advanced KSK Approach, and machine learning algorithms—includes ANN, DT and K-NN—the proposed …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 15–24 Read article
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Hybrid Digital–Analog Signal Processing Framework forEnhanced Data Transmission in Next-Generation Wireless Communication Systems
Abstract: The rapid advancement of next-generation wireless technologies such as 5G and 6G has created an increasing demand for high data rates, low latency, and energy-efficient communication systems. Conventional digital signal processing techniques, while flexible and accurate, often suffer from high computational complexity and power consumption, whereas analog signal processing provides low-latency and energy-efficient solutions but lacks adaptability and robustness. This paper proposes a novel hybrid digital–analog signal processing framework that …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 50–59 Read article
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Intelligent Trajectories: Harnessing Artificial Intelligence for Next Generation Missile and Propellant Design
Abstract: The rapid evolution of artificial intelligence (AI) has unlocked transformative pathways for high-performance aerospace engineering, yet its integration into missile and propellant design remains nascent. This study investigates a hybrid AI-driven framework that unites physics-based modeling, data-centric learning, and multi-objective optimization to accelerate the conception, validation, and refinement of missile airframes and solid-propellant formulations. First, a physics-informed neural network (PINN) is trained on a curated database of historic missile geometries, …
Published in International Journal of Energetic Materials · Vol. 12, Issue 1, 2026 · pp. 20–26 Read article
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Decentralization in Small Island Developing States: The Case of a Selected Atoll in the Maldives and Its Governance Challenges
Abstract: This qualitative case study examines the impact of decentralization on local governance in the selected atoll, focusing on the complex socio-economic and geographical context of Small Island Developing States (SIDS). The decentralization policy, aimed at empowering local councils and promoting grassroots democracy, is critically assessed through interviews with local stakeholders. Findings reveal that decentralization has not achieved its intended goals, as local councils remain hindered by financial constraints, political interference, …
Published in International Journal of Town Planning and Management · Vol. 12, Issue 1, 2026 · pp. 36–50 Read article
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A Comprehensive Review of Transportation Network Design and Congestion Modeling: Methods, Challenges, and Emerging Trends
Abstract: Abstract As urbanization and travel demand continue to grow rapidly, traffic congestion has emerged as a widespread issue worldwide. The design of transportation networks and the modeling of congestion are essential disciplines that provide foundational tools for analyzing, predicting, and mitigating congestion impacts. This review complies key theories, modeling frameworks, optimization techniques, and algorithms used in network design and congestion modeling. We discuss static and dynamic models, equilibrium concepts, congestion …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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Review in Dapsone and Sulpha Derivatives with their Applications in (Fertilizer, Agrochemical, Industrial, Biochemical) Fields
Abstract: Dapsone structure exposed in the premature twentieth century, German researcher Paul Ehrlich was acquiring notions of discriminating harmfulness established fundamentally on the talent of individual rinses to destroy microorganisms. Gerhard Dumac is subsequent secured a Nobel Prize intended for his attempts, accomplished a breakthrough in 1932 with the detection of the antiseptic ingredient Prontosil enflamed (actinodin sulfonamide). Additional enquiry of the elements complicated unfastened the technique for a sulfa structure …
Published in International Journal of Agrochemistry · Vol. 12, Issue 1, 2026 Read article
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AI-Assisted Conversion and Optimization of Analog-to-Digital Signal Transmission forLow-Power IoT and Edge Devices
Abstract: The booming implementation of Internet of Things (IoT) and edge computing devices is requiring theimplementation of efficient signal transmission mechanisms to balance between performance and energyefficiency. The current paper introduces an AI-assisted conversion and optimization system of the analog-to-digital (A/D) signal transmission, aimed at low-power IoT and edge devices. The given strategy combines both machine learning algorithms and adaptive sampling and quantization methods to optimize the A/D conversion process in …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 2, 2025 Read article
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Predictive Maintenance of 6G Infrastructure Using Artificial Intelligence
Abstract: The transition to Sixth Generation (6G) wireless infrastructure introduces unprecedented complexity, characterized by massive densification, reliance on the Terahertz (THz) spectrum, dynamic cell topologies driven by Reconfigurable Intelligent Surfaces (RIS), and stringent requirements for Ultra-Reliable Low-Latency Communication (URLLC). Traditional reactive or fixed-schedule maintenance protocols are fundamentally inadequate for sustaining the necessary service continuity and energy efficiency in this hyper-connected, heterogeneous environment. This paper explores the critical role of Artificial Intelligence …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 Read article
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Hybrid Machine Learning and Deep Learning approach for Adaptive congestion control in 5G/6G Network
Abstract: The rapid growth of data traffic, fueled by emerging applications such as autonomous systems, augmented reality (AR), virtual reality (VR), and the Internet of Things (IoT), poses major challenges for modern communication networks. With the rollout of 5G and the continuous transition to 6G, sophisticated congestion control techniques are needed to satisfy the demanding requirements of massive machine-type communication (mMTC), ultra-reliable low-latency communication (URLLC), and improved mobile broadband (eMBB). Conventional …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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AI-Optimized Reconfigurable Microstrip Bandpass Filters for DynamicSpectrum Access in 6G Networks
Abstract: The evolution toward sixth generation (6G) wireless networks introduces unprecedented demands on spectral efficiency, ultra-low latency, and real-time adaptability to dynamic radio environments. Central to this transformation is the requirement for intelligent, spectrum-agile radio front ends that can seamlessly operate across heterogeneous frequency bands. Dynamic Spectrum Access (DSA) addresses this challenge by enabling transceivers to autonomously detect, evaluate, and utilize the most suitable spectrum opportunities. The realization of DSA in …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 2, 2025 · pp. 30–38 Read article
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IoT Antenna Design for Emerging Technologies: A Study
Abstract: The relentless expansion of the Internet of Things (IoT) is fundamentally transforming industries and daily life, interlinking billions of diverse devices. At the heart of this revolution lies the antenna – the critical interface that enables wireless connectivity, yet often presents the most significant design challenge. This paper explores the intricate landscape of IoT antenna design, addressing the multi-faceted demands driven by device miniaturization, pervasive connectivity, energy efficiency, and cost-effectiveness. …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 2, 2025 · pp. 39–55 Read article
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The Future of Radar Antenna Design: A Study
Abstract: Radar antennas are the critical interface between the electronic heart of a radar system and theelectromagnetic waves that probe the environment, acting as the system's "eyes and ears." Theirdesign is a multi-faceted engineering challenge, inherently balancing often-conflictingrequirements to optimize performance across incredibly diverse applications – from long-rangesurveillance and air traffic control to autonomous vehicle sensing and precise weatherforecasting. This abstract introduces the fundamental principles and intricate considerationsgoverning radar antenna design, …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 43–51 Read article
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Integration of CAD – CAM SYSTEM FOR NEXT – Generation smart manufacturing
Abstract: Abstract The emergence of Industry 4.0 has transformed traditional manufacturing by promoting automation, intelligence, and connectivity across production systems. Integrating Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) has become essential for achieving seamless data exchange, efficient product design, and precise manufacturing operations. This integration enables a unified digital workflow that connects design intent directly to machining processes, thereby reducing errors, improving productivity, and shortening product development cycles. Advanced technologies such …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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Artificial Intelligence Applications in Mechanical Engineering: A Pathway to Industry 4.0
Abstract: Abstract— The emergence of Industry 4.0 signifies a groundbreaking change in the industrial landscape, propelled by the integration of cyber-physical systems, the Internet of Things (IoT), and artificial intelligence (AI). This period represents the convergence of digital technologies with conventional manufacturing practices, resulting in the development of intelligent, interconnected, and autonomous production settings. For mechanical engineering—traditionally focused on physical systems, manual design, and empirical approaches—this shift has brought about an …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 2, 2025 · pp. 1–6 Read article
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STRATEGIES FOR SMOOTH TRAFFIC MANAGEMENT
Abstract: Abstract - Pune, one of India’s fastest-growing metropolitan cities, faces severe traffic congestion due to rapid urbanization, increasing vehicular density, and inadequate transport infrastructure. This research paper explores the challenges associated with traffic management in Pune and evaluates existing solutions implemented by local authorities. Through case studies of critical traffic zones such as Katraj, Nal Stop, Warje, and Hadapsar Road, we identify key congestion factors, including poor road design, improper …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 19–24 Read article
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REVITALIZATION OF WATER SUPPLY AND SANITATION IN NIGERIA THROUGH EFFECTIVE GOVERNANCE AND POLICIES
Abstract: ABSTRACT Effective governance and policies play a vital role and essential pathway in the revitalization of water supply and sanitation in Nigeria. Access to safe water and adequate sanitation remains a critical challenge in Nigeria, undermining public health and socio-economic development. This study aims to explore how politics and governance can be harnessed not as barriers but as catalysts for revitalizing Nigeria’s water and sanitation sector. It investigates the role …
Published in International Journal of Water Resources Engineering · Vol. 11, Issue 2, 2025 · pp. 38–52 Read article
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Cognitive Metallurgy: A Study on Microstructure and Energy Efficiency in High-Temperature Alloying via Sensor Fusion and Deep Reinforcement Learning
Abstract: Background Traditional high-temperature metallurgical processes, such as continuous casting and specialty alloy synthesis, are characterized by high energy consumption, stochastic variability, and reliance on post-process defect inspection. The inability to precisely monitor, model, and predict the real-time thermal, chemical, and mechanical state of molten metal and cooling substrates results in significant material waste and inconsistent microstructural integrity. Methodology This study introduces a novel framework for Cognitive Metallurgy utilizing an integrated …
Published in International Journal of Metallurgy and Alloys · Vol. 11, Issue 2, 2025 · pp. 27–36 Read article
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Blind Assistance System Using Digital Image Processing
Abstract: This paper brings forth state-of-the-art blind assistance, and the system here provides a combination of an OpenCV-based DNN module based on YOLOv3’s algorithm; the system would support real-time object detection, with associated auditory notifications to enable visually impaired individuals to understand their autonomy couched with safety about improved fast recognition of objects allied with auditory responses. The live video captures from a webcam were done and further processed by the …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 13–19 Read article