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1992 articles for “Keywords”
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Solar-Powered Electric Vehicle Charging Station with Smart Load Scheduling
Abstract: The rapid rise in EV usage has increased demand for environmentally friendly and cutting-edge charging infrastructure. This paper outlines the creation and deployment of a solar-powered EV charging station that incorporates a smart load scheduling system aimed at optimizing energy consumption, minimizing reliance on the grid, and improving charging efficiency. To guarantee practical feasibility and scalability, the proposed system encompasses thorough design work, modelling, and performance assessment. A bidirectional converter …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 7–14 Read article
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IoT-Based Fault Detection in Distribution Lines
Abstract: Quickly detecting and pinpointing failures in electrical distribution lines are important for shortening the duration of service interruption, reducing maintenance costs and increasing safety. In this work, we propose a realistic architecture for an Internet-of-Things (IoT)-enabled fault detection system designed for distribution networks. In order to continually assess electrical characteristics including voltage, current, frequency, temperature, and line status, the suggested architecture combines inexpensive, dispersed sensor nodes placed along feeders and …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Deep Reinforcement Learning-Based MPPT for PV Systems Under Partial Shading: A Hybrid Metaheuristic-Optimized Control Framework.
Abstract: Partial shade and quickly changing environmental conditions make Maximum Power Point Tracking (MPPT) in photovoltaic (PV) arrays particularly difficult. In these situations, traditional algorithms frequently fail to find the global optimum or experience sluggish convergence and steady-state oscillations. To obtain reliable, real-time MPPT under non-uniform irradiance, this research suggests a hybrid control architecture that combines a deep recurrent reinforcement learning (DRL) agent with metaheuristic-based parameter optimization and a digital-twin training …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 35–46 Read article
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DESIGNING OF AN EMBEDDED SYSTEM FOR SIGN LANGUAGE TRANSLATION
Abstract: Communication is a fundamental human right, yet over 70 million individuals worldwide who are deaf or speech-impaired face daily barriers in expressing their needs in healthcare, education, workplaces, and emergencies. Sign language serves as the primary mode of communication for this population; however, it is not universally understood by the hearing community, creating a persistent and critical gap in accessibility. Existing assistive solutions such as camera-based AI translators require high …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 31–44 Read article
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Spatiotemporal Dynamics of 100 Coupled Lorenz Oscillators: A Comprehensive Analysis of Chaotic Pattern Formation
Abstract: Chaotic Lorenz systems that interact with one another, resulting in the generation of complex space-time patterns that evolve over time. This comprehensive analysis presents a detailed investigation of spatiotemporal chaos in a network of 100 coupled Lorenz oscillators, revealing the complex interplay between individual chaotic dynamics and collective behavior in nonlinear dynamical systems. Through numerical simulation and extensive analysis, we examine how coupling transforms individual butterfly attractors into rich spatiotemporal …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 15–21 Read article
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SMART SAFETY DRIVER DEVICE
Abstract: Road accidents caused by driver drowsiness, alcohol consumption, and vehicle fire hazards remain a major concern in transportation safety. This paper presents a Smart Safety Driver Device designed to enhance vehicle safety through real-time monitoring and automated alert mechanisms. The system integrates an eye blink sensor to detect driver fatigue, an alcohol sensor to identify alcohol presence, and a flame sensor for early fire detection. An Arduino- based controller continuously …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 45–53 Read article
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An Advanced Framework for Energy Harvesting in Device-to-Device Communication within 5G-Enabled IoT Healthcare Networks
Abstract: The healthcare sector is forever advancing, and one of the key technologies that have started playing a part in better patient care and management is Internet of Things (IoT) devices. The Device-to-Device (D2D) communication in 5G-enabled IoT healthcare networks provide better data transmission rate and very low latency. But despite all that, IoT devices still have over-the-top energy consumptions requiting attention. In this work, an innovative energy harvesting framework is …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 22–30 Read article
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A Review of Adaptive Power Control Methods in Broadband Networks
Abstract: Broadband communication networks have experienced rapid growth due to the increasing demand for high-speed wireless connectivity, multimedia services, cloud computing, and Internet-based applications. As network traffic and user density continue to rise, efficient power management has become an essential requirement for maintaining communication quality, improving spectrum utilization, and reducing overall energy consumption. Adaptive power control methods play a critical role in optimizing transmission performance by dynamically adjusting signal power according …
Published in International Journal of Broadband Cellular Communication · Vol. 12, Issue 1, 2026 · pp. 17–28 Read article
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The Cellphone Communication Crisis: Lost Signals, Dropped Calls
Abstract: Cellular communication is becoming an important feature of modern life offering immediate connectivity for personal, commercial and emergency communications. But poor network performance, lost calls, weak signals and limited coverage continue to be serious concerns for users around the world. The essay addresses the emerging crisis in cellular communication by assessing the main reasons for connectivity problems, such as network congestion, inadequate infrastructure, geographical obstacles, and technology constraints. The rapid …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 49–53 Read article
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A Study on AI in 7G Mobile Communication
Abstract: The imminent transition from 5G to the seventhgeneration (7G) mobile ecosystem promises to redefine connectivity through unprecedented data rates, pervasive ultralow latency, and holistic integration of terrestrial, aerial, and spaceborne networks. Central to this evolution is Artificial Intelligence (AI), which is poised to become the nervous system that orchestrates, optimizes, and secures the hyperdynamic 7G fabric. This paper surveys the emerging AIdriven paradigms that will underpin 7G, focusing on three …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 29–39 Read article
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AI-Based Noise Reduction Techniques for Digital and Analog Communication Systems
Abstract: Noise is one of the major challenges in modern communication systems because it significantly affects signal quality, transmission efficiency, and overall system reliability. Both digital and analog communication systems are influenced by different types of noise such as thermal noise, impulse noise, quantization noise, atmospheric noise, and channel interference. Conventional noise reduction techniques including filtering, adaptive equalization, and statistical signal processing have been extensively used to improve communication performance. However, …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 40–48 Read article
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Microwave Frequency Optimization Techniques for High-Speed Wireless Communication
Abstract: The rapid growth of mobile devices, cloud computing, Internet of Things (IoT), smart applications, and high-definition multimedia services has significantly increased the demand for high-speed wireless communication systems. Microwave communication technologies play a vital role in modern wireless networks because they provide large bandwidth, high data transmission rates, low latency, and efficient spectrum utilization. Microwave and millimeter- wave frequencies are widely used in satellite communication, radar systems, wireless broadband, and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 14–21 Read article
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Performance Analysis of Hybrid Signal Processing Methods in Modern Communication Networks
Abstract: Modern communication networks require high-speed, reliable, and energy-efficient signal transmission for applications such as wireless communication, satellite systems, Internet of Things (IoT), smart healthcare, and next-generation 5G/6G networks. Traditional signal processing techniques often face limitations in dynamic communication environments due to interference, noise, latency, and bandwidth constraints. Hybrid signal processing methods combine multiple techniques including analog-digital processing, adaptive filtering, beamforming, machine learning, and intelligent optimization to enhance communication performance and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 22–35 Read article
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Intelligent Communication Networks for Telematics and Telemetry Applications: A Comprehensive Review
Abstract: Intelligent communication networks have become a fundamental component of modern telematics and telemetry systems, enabling reliable, real-time, and data-driven communication across various industrial, transportation, healthcare, and environmental monitoring applications. The rapid growth of wireless communication technologies, Internet of Things (IoT) devices, cloud computing, and artificial intelligence has significantly enhanced the efficiency, scalability, and adaptability of telematics and telemetry infrastructures. This review paper presents a comprehensive analysis of recent developments in …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 46–57 Read article
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An Overview on Harmonic Intelligence: BridgingMicrowave Sensing and AI-Driven IoT for Autonomous Decision-Making
Abstract: As the Internet of Things (IoT) ecosystem expands into complex industrial and urban environments, the demand for high-fidelity data acquisition and near-instantaneous edge processing has reached a critical juncture. Traditional optical and infrared sensors often falter under adverse conditions, such as dense smoke, occlusions, or low-light environments. This paper explores the transformative potential of microwave signals—leveraging their unique ability to penetrate non-metallic materials and operate independently of ambient lighting—as the …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 1, 2026 · pp. 1–8 Read article
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The Awesome Power of Microwaves: More than Heating Food
Abstract: An essential part of contemporary technology is microwave energy, a form of electromagnetic radiation having wavelengths between one metre and one millimetre. Its uses extend well beyond the kitchen, even though it is usually associated with cooking. This article overviews basic concepts of microwave energy, the interaction with materials and the generation of heat by dielectric heating. It also shows a range of applications including telecommunications, radar, medical treatments and …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 1, 2026 · pp. 35–39 Read article
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A Low-Power Chopper-Stabilized Amplifier forHigh-Resolution Biomedical Signal Acquisition
Abstract: Biomedical signal acquisition systems such as ECG, EEG, and EMG require analog front-end (AFE) circuits capable of amplifying extremely small, low-frequency physiological signals in the presence of noise, interference, and motion-induced artifacts. These signals usually fall within the sub-millivolt range and are highly susceptible to low-frequency noise and amplifier offset. Chopper-stabilized amplifiers offer a compelling solution by suppressing flicker noise (1/f noise) and minimizing input- referred offset, especially for low-frequency …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 1–14 Read article
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A Study of Delta Modulation Techniques for Bandwidth- Efficient Signal Transmission
Abstract: Delta modulation is an important signal processing technique widely used in digital communication systems for efficient analog-to-digital signal conversion and bandwidth reduction. With the increasing demand for high-speed and low-complexity communication systems, bandwidth-efficient transmission methods have become essential in modern telecommunication networks. This study presents a comprehensive analysis of delta modulation techniques and their role in improving signal transmission efficiency in digital communication environments. The paper examines the operating principles …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 31–43 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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Combating Deepfakes and AI-Generated Misinformation: Towards a Digital Likeness and Integrity Framework for India
Abstract: The real struggle is to distinguish what is real and what is fake in the communication of the hyper-digitalized age, in which AI and generative technologies significantly impact the field of communication. The change in the creation and consumption of information has come with the deepfake AI-generated fake media that can imitate a human in voice, image, and video. However, on the one hand, generative models such as Generative Adversarial …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 1–20 Read article