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299 articles for “Intelligent control”
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Design and Implementation of an Arduino-Based Wireless Power Consumption Monitoring and Control System
Abstract: The increasing demand for electricity and the inefficiencies associated with traditional metering systems necessitate the development of advanced solutions for monitoring and controlling power consumption. This study presents the design and implementation of an Arduino-based wireless power consumption monitoring and control system aimed at providing real-time feedback and efficient energy management. The system incorporates the Arduino Uno R3 microcontroller, ACS712 current sensor, relay module, and Ethernet shield to enable accurate …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 19–31 Read article
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The Past, Present, and Future of Power Conversion Technologies for Computer, Networking, and Telecom Power Systems
Abstract: The power systems of modern computers, networking, and telecom equipment face formidable challenges due to the ongoing increase in power-density and efficiency requirements. Significant technological breakthroughs in system designs, devices and materials, topology optimization, and packaging/thermal design will be necessary to meet these objectives. To address these challenges, ongoing research and development efforts are being conducted in academia, industry, and government institutions. These efforts aim to revolutionize power system designs, …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 1, 2023 · pp. 16–31 Read article
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IoT-Based Smart Electrical Board Using Google Assistant: An Enhanced Approach
Abstract: The Internet of Things (IoT) has revolutionized home automation by enabling seamless connectivity between smart devices and cloud services. By enabling intelligent and remote control of home systems like lighting, security, and climate control, this integration greatly enhances user control, convenience, and efficiency. The study introduces an improved IoT smart electrical board that can be connected to Google Assistant to enable voice commands for controlling household appliances. By combining modern …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 2, 2025 · pp. 1–5 Read article
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Hybrid Additive-Subtractive Manufacturing of Multi-Material Functionally Graded Components: Integration of Laser Powder Bed Fusion with High-Speed CNC Finishing for Aerospace Applications
Abstract: The synergy involved in the merging of additive and subtractive manufacturing technologies is the game changer to generate multi-material functionally graded components to be used in the aerospace industries. The paper is an in-depth review of a proposed hybrid additive-subtractive manufacturing, which synergistically merges laser powder bed fusion (LPBF) fashioning with rapid computer numerical control finishing production processes. The multi-material deposition, thermal issues, and optimization of post-processing are the challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 398–418 Read article
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Robotic Assistance Using ESP32 Microcontroller
Abstract: The Robotic Assistance System using ESP32 Microcontroller is a voice-interactive and manually operable robotic model designed to improve human convenience and engagement in daily life. This project integrates modern technologies such as Alexa-based voice commands for intelligent interaction and Bluetooth-based manual control for user flexibility. By combining artificial intelligence with embedded systems, the robotic assistant is capable of performing a wide range of activities. These include entertainment-related functions like playing …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 3, 2025 · pp. 23–34 Read article
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Entropy, Symmetry, and Data Fusion: Emerging Methods in Multi-Objective Decision- Making and Smart Systems
Abstract: In the era of intelligent technologies and data-driven systems, multi-objective decision-making (MODM) has become an essential aspect of managing complex environments such as smart cities, autonomous systems, and cyber-physical networks. As decision-making scenarios become increasingly dynamic and uncertain, there is a growing need for advanced methodologies that can handle diverse objectives, conflicting constraints, and incomplete information. This review highlights the emerging role of entropy, symmetry, and data fusion as foundational …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 44–49 Read article
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Synthesis and Characterization of pH-Sensitive Poly (N-isopropylacrylamide-co-acrylic Acid) Hydrogels for Controlled Release of Doxorubicin
Abstract: pH-responsive polymeric hydrogels have attracted significant attention as intelligent biomaterials for site-specific and controlled drug delivery in cancer therapy due to their ability to respond to the acidic tumor microenvironment. In the present study, poly (N-isopropylacrylamide-co-acrylic acid) [P(NIPAM-co-AAc)] hydrogels were synthesized via free radical copolymerization and systematically characterized to evaluate their suitability for controlled delivery of doxorubicin, a widely used chemotherapeutic agent. The copolymer hydrogels were prepared using N-isopropylacrylamide and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 449–458 Read article
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Smart Traffic Management Systems: A Comprehensive Review of Existing Solutions
Abstract: In our nation today, when the number of automobiles keeps growing faster than the resources at our disposal, managing this problem is getting harder, and things get worse when accidents happen. Numerous facets of society are impacted by this issue, such as time wasted, health problems, pollution, traffic accidents, and economic progress. According to this paradigm, individuals can rely on traffic control technologies to reduce traffic and its consequences. We …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 27–32 Read article
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RFID Based Smart Trolley Billing System Using IoT
Abstract: Customers experience better retail interactions while operations become more efficient in the modernizing retail industry. Shopping through traditional methods requires lengthy manual scanning for products and billing operations leading retailers to require automation solutions for streamlining these processes. This system consists of RFID detection alongside 8051 microcontroller processing and load cells monitoring and uses IoT communications and relay controls to power an intelligent automated shopping cart. Real-time data tracking functions …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 3, 2025 · pp. 1–8 Read article
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Integrating Digital Twins, Smart Materials, and Human Machine Collaboration for Sustainable Smart Manufacturing: Smart CNC & Industry 4.0 Applications
Abstract: The rapid evolution of Industry 4.0 and the emerging transition toward Industry 5.0 have been catalyzed by the convergence of intelligent digital technologies such as digital twins, cyber–physical systems (CPS), artificial intelligence (AI), the Internet of Things (IoT), and human-in-the-loop (HITL) frameworks. These technologies have transformed traditional manufacturing into adaptive, data-centric ecosystems capable of real-time optimization and predictive decision-making. In recent years, the fusion of computer numerical control (CNC) machines, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 1–8 Read article
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Optimization of Automatic Energy Management System Using Renewable Resources
Abstract: With the increasing demand for energy efficiency and sustainability, smart home energy management systems (SHEMS) have emerged as promising solutions to optimize residential energy consumption. This paper presents a comprehensive review of SHEMS technologies, focusing on their design, implementation, and impact. SHEMS integrates advanced sensors, real-time data analytics, and intelligent algorithms to monitor, control, and optimize energy usage within the home environment. By leveraging machine learning and predictive modelling techniques, …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
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AI-Enabled Linear Regression Model for Spectroscopic Milk Adulteration Analysis
Abstract: Milk adulteration poses a serious threat to public health and quality assurance in the dairy industry. This requiring rapid, reliable, and non-destructive detection techniques. This study presents a linear regression-based analytical model for identifying and quantifying milk adulteration using spectroscopic data. Spectral measurements of milk samples, including both pure and adulterated variants were acquired using spectroscopic techniques at relevant wavelengths.Blending of other components in pure milk , is specifically called …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 1, 2026 · pp. 28–42 Read article
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DC Motor Control using Deep Reinforcement Learning for Enhanced Robustness and Precision
Abstract: DC motors remain the workhorse of industrial automation and mobile robotics, but achieving simultaneous high-speed transient response and negligible steady-state error under variable load conditions continues to challenge classical Proportional-Integral-Derivative (PID) controllers. These model-dependent systems often require extensive tuning and struggle to maintain optimal performance when confronted with parametric uncertainties, non-linear friction, or sudden voltage fluctuations. This study presents a novel, model-free control paradigm utilizing Deep Reinforcement Learning (DRL)—specifically, a …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 22–29 Read article
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AI-Driven Prediction of Square-Hole Laser Trepanning Performance in AA7075/15%SiC/15% Glass Fiber Hybrid Composites Using Taguchi–ANOVA and Deep Neural Networks
Abstract: Hybrid AA7075 composites reinforced with 15% silicon carbide (SiC) and 15% glass fiber were fabricated via the stir casting technique to improve machining and structural performance. The addition of dual reinforcements into the aluminum matrix was aimed at enhancing hardness, thermal stability, and surface quality during non-traditional drilling operations. Square-hole drilling was performed using a laser trepanning process, and the key responses—hole size accuracy, surface roughness, and taper angle—were systematically …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1932–1943 Read article
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Evolution of Kinematic and Dynamic Design in Robotic Mechanisms: A Systematic Overview
Abstract: The field of robotics has experienced significant advancements in both kinematic and dynamic design, driven by the growing need for precision, adaptability, and autonomy in mechanical systems. Early robotic mechanisms were predominantly rigid and operated based on simple serial architectures, offering limited degrees of freedom and relying heavily on analytical formulations for motion planning and control. Over time, the demand for greater dexterity and operational versatility led to the development …
Published in Trends in Machine design · Vol. 12, Issue 2, 2025 · pp. 38–43 Read article
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Cybersecurity Innovations in Industrial Control Systems
Abstract: Industrial control systems (ICS) are essential for automating and managing industrial processes across a broad spectrum of sectors, including energy, manufacturing, transportation, and water treatment. Securing these systems is essential to avoid disruptions that could lead to significant economic losses and safety risks. Recent advancements in ICS cybersecurity encompass several key areas that collectively aim to bolster the security and reliability of these critical infrastructures, thereby enhancing industrial safety. Enhanced …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 2, 2024 · pp. 15–19 Read article
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Smart City Solutions for Waste Management and Pollution Control
Abstract: Recent trends in the role of artificial intelligence, IoT, and other smart technologies have a critical role toward addressing urban environmental challenges related to air quality and waste management in the context of a smart city. This changes the scope of managing air quality as, with the integration of IoT sensors, big data, and AI, they are able to predict pollution levels through real time monitoring and analysis. These technologies …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 1, 2025 · pp. 11–22 Read article
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Sensors and Artificial Intelligence based Intelligent Thermos
Abstract: For more than a century, the traditional thermos bottle—a passive container for temperature control—has essentially not altered. This offers a huge chance for innovation in a time when health and wellness technology are intertwined. In order to bridge the gap between basic fluid containment and proactive personal health management, this paper presents the design concept for an Intelligent Thermos, a smart hydration system. A low-power microprocessor with Bluetooth connectivity controls …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 3, 2025 · pp. 37–45 Read article
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Design, Development, and Performance Analysis of an Intelligent IoT-Based Home Automation System
Abstract: Without a doubt, the incorporation of Internet of Things (IoT) technology into what used to be traditional homes has turned them into smart houses. Appliances are controlled and monitored in the distance. With a security of 99.9% it is unproblematic to break in these terminals and your energy synchronously may go down two points any time fifty times." "Home automation systems allow automatic control of electrical appliances, environmental conditions and …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 1, 2026 · pp. 23–30 Read article
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Hybrid Braking System: Electromagnetic + Disc Braking
Abstract: The Hybrid Braking System combines electromagnetic braking and traditional disc braking to enhance vehicle safety, improve braking response, and reduce mechanical wear. This system integrates sensor fusion technologies, including ultrasonic and infrared sensors, to enable adaptive braking based on real-time road conditions. A PID-based control algorithm optimizes braking force distribution, ensuring a smooth and controlled deceleration. Additionally, the incorporation of regenerative braking allows for energy recovery, increasing vehicle efficiency and …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 1, 2026 · pp. 8–14 Read article