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213 articles for “Energy Detection”
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Employment of Solid-State Technology in Sensor Design: A Study
Abstract: The rapid evolution of sensor technologies has been driven by the demand for more precise, durable, and compact systems to meet the needs of modern industries, healthcare, and consumer electronics. Solid state technologies have emerged as a transformative force in sensor design, offering unprecedented performance, reliability, and integration potential. Unlike traditional sensors, which often rely on mechanical, electrochemical, or piezoelectric principles, solid state sensors leverage the intrinsic properties of materials …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 31–41 Read article
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BATTERY MANAGEMENT SYSTEM (BMS)
Abstract: This review of the literature delves into the changes, structure, and the latest BMS (Battery Management Systems) technologies implemented in electric vehicles, smart grids, and energy storage, respectively. The studies emphasize the need for accurate battery modeling, advanced estimation algorithms, robust hardware design, and safety regulations. The research describes how contemporary BMSs perform integration of modeling, monitoring, control, cell balancing, and diagnostics in order to facilitate safe and energy- efficient …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 32–43 Read article
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Simulation And Analysis of Radio Frequency Energy Harvesting System Operating at 2.45 GHz Frequency
Abstract: — This paper proposed study of an RF energy harvesting system at 2.45 GHz using a rectifier and an antenna so called rectenna. Inset-fed micro-strip rectangular patch antenna array is fabricated. The rectifier circuit, employing Schottky diodes (HSMS-2850), converts AC power from the antenna to DC for RF detection. Analysis of the antenna's design and parameters such as directivity, return loss, gain, and VSWR is done using high-frequency simulator software …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 1, 2024 · pp. 7–15 Read article
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Aluminium-Doped Zinc Ferrite Nanoparticles Synthesized by Combustion Method for Polymer Composite Applications
Abstract: ZnFe₂₋xAlₓO₄ (x = 0 and 0.5) nanoparticles were synthesized via a combustion method owing to its simplicity, cost efficiency, and ability to produce highly crystalline nanomaterials. Powder X-ray diffraction (XRD) analysis confirmed the formation of a single-phase cubic spinel structure without detectable secondary phases, indicating high phase purity. The average crystallite size was estimated to be in the range of 14–20 nm, confirming the nanocrystalline nature of the samples. Field-emission …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 272–282 Read article
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Elucidation of Physical Structural Stability of Nickel Nanoparticles Additive-Based Magnetorheological Grease
Abstract: This study investigates the influence of nickel nanoparticles on the physical properties and structural stability of magnetorheological grease (NMRG) as a smart composite. The incorporation of nickel nanoparticles aims to mitigate issues commonly observed in conventional magnetorheological grease (MRG), including particle aggregation within the fibrous matrix, limited material performance, and deformation instability. NMRG samples containing 1–5 wt% nickel nanoparticles were prepared using a mechanical stirring method. The tests focused on …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 191–215 Read article
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Smart Drug Delivery Using Nanorobots
Abstract: In recent years, the field of micro/nanorobot research has gained popularity. Because it can be used in targeted medication distribution, surgical procedures, disease detection, etc., it has enormous promise in medical therapy. Different from conventional medication delivery, which depends on blood flow to drug delivery to difficult-to-reach locations is made possible by the planned micro/nanorobots' ability to move independently. Micro/nanorobots were powered by either endogenous power (chemical reaction energy) or …
Published in Trends in Drug Delivery · Vol. 13, Issue 2, 2026 · pp. 35–46 Read article
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Autonomous Fire Suppression Robot Based on Arduino
Abstract: Fire hazards continue to pose serious risks in homes, workplaces, and industrial facilities, making rapid detection and early suppression crucial for minimizing damage and protecting lives. This paper presents the design and development of an autonomous fire suppression robot built around an Arduino- based control system. The robot is engineered to independently detect, approach, and extinguish small fires with minimal human interaction. It incorporates multiple sensing components, including flame sensors …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 26–32 Read article
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Review on Photoconductive Antenna Design from Conventional to Microstructures
Abstract: Semiconductors possess many diverse phenomena under terahertz-frequency electromagnetic radiation (THz). This is due to the fact that the energy of THz photons is at quite large scales in case of bulk and low-dimensional materials and devices. With regard to broadband THz sources, various inorganic crystals such as ZnTe/GaP/GaAs/GaSe/DAST/LiNbO3 have been used which are pumped by femtosecond laser pulses. These pulses are combined with field-resolved detection through electro-optic sampling using similar …
Published in Journal of Microwave Engineering and Technologies · Vol. 9, Issue 1, 2022 · pp. 1–8 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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IoT and Smart Sensors for Structural Health Monitoring: Trends, Challenges, and Future Directions
Abstract: Structural Health Monitoring (SHM) plays a critical role in ensuring the safety, resilience, and sustainability of civil infrastructure systems. In recent years, the convergence of Internet of Things (IoT) technologies and smart sensor systems has revolutionized the field of SHM. This integration enables continuous, real- time monitoring, facilitates predictive maintenance, and reduces the costs associated with structural inspections. IoT-based SHM frameworks leverage wireless sensor networks, cloud computing platforms, and intelligent …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 3, 2025 · pp. 1–6 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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Visible Light Communication System with Various OFDM Signaling Techniques for IM/DD Channels
Abstract: Lightening using light emitting diodes is very energy efficient method for illumination. This type of communication is known as visible light communication. Further, with the use of OFDM technique, multiuser communication is also possible in VLC. But the problem with OFDM is that it has both positive and negative amplitude, due to which it is not preferable for direct detection channels. For making it worthy for VLC in all manners, …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 3, Issue 3, 2016 · pp. 21–24 Read article
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Strengthening Low Voltage Ride-Through in Wind Energy Systems: A Comparative Study of DVR and STATCOM
Abstract: This study looks at the various methods used to improve the low-voltage ride-through (LVRT) capabilities of wind turbine systems (WT) that are based on double-fed induction generators (DFIG). The Type-III WT machine, which is mostly based on DFIG, is instantly connected to the grid without the digital power interface, making the terminal voltage or reactive electricity output unmanageable. This is because the world utilizes between 20% and 25% of renewable …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 3, 2024 · pp. 47–62 Read article
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Significance of Halogen in Crude Oil Refining and It’s Test Methods
Abstract: Halogen includes organic and inorganic ions of fluoride, chloride, bromide and iodide. Natural crude oils are fossil fuel and generally not having any halogens. Water is part of exploration out come and it will separate maximum extent however some amount of water remains with crude oils which is main source of inorganic halogens. The source of organic halogens is mainly from process chemicals/additives that are used while exploration/transportation or adulteration …
Published in Journal of Petroleum Engineering & Technology · Vol. 13, Issue 1, 2023 · pp. 1–5 Read article
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Infant Cry Analysis for Emotion Detection by using Cross-Correlation Algorithm
Abstract: Crying is the part of normal behavior of human. It is the first way of communication for the infant after his birth and it is a very positive sign of a new healthy life. There are several reasons for which infant cry including hunger, discomfort, and need for attention. Analysis of infant cry is very useful because infant cry contains useful information, which helps in detecting the nature of infant …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 3, Issue 2, 2014 · pp. 27–33 Read article
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Animal Detection in Farms Using Opencv
Abstract: Agriculture plays a fundamental role in sustaining the Indian economy, providing employment and livelihood to a large portion of the population. Despite advancements in farming techniques, one of the persistent challenges faced by farmers is the intrusion of wild animals into agricultural fields. Such intrusions often lead to large-scale crop damage, financial loss, and emotional distress for farmers. Traditional animal deterrent methods, such as manual patrolling, fences, or scarecrows, have …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 Read article
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A Review on AI and Machine Learning for Predictive Maintenance and FDD in RAC Systems
Abstract: The paper reviews the existing AI/ML methods first in the general context of predictive maintenance and FDD of RAC systems, then specifically focusing on granular cooling appliances. Perspectives and insights are provided on the reasons why potentially valuable models do not make it into practice more often, and where future research and development should be headed. New emerging topics for decision support systems to include domain knowledge and physics-based modeling …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 13, Issue 1, 2026 · pp. 15–25 Read article
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Advancements and Challenges in Automated Guided Vehicles for Smart Industrial Automation
Abstract: Automated Guided Vehicles (AGVs) are increasingly central to modern industrial automation, enhancing operational efficiency in manufacturing, warehousing, and logistics. Traditionally reliant on fixed paths using magnetic tapes or wired tracks, AGVs were limited in flexibility. However, recent technological advances have enabled the development of autonomous AGVs equipped with sensor fusion, LiDAR, computer vision, and artificial intelligence (AI). These features support real-time obstacle detection, dynamic path planning, and robust performance in …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 1–5 Read article
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Home Automation System Using IoT
Abstract: The proposed project puts forward a systematic implementation of internet of things (IoT). Since, the technology is becoming more advanced day-by-day. Therefore, manual systems are being replaced by the automatic system. Today, the internet has become an integral part of life. The idea that devices can be controlled remotely across the world is made possible by IoT—the interconnection of devices via a global network. This paper deals with the home …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 11, Issue 1, 2023 · pp. 24–30 Read article
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Enhancing Smart Grid Resilience Through AI-Based Fault Classification
Abstract: Traditional power grids can be developed into smart grids, and they are comprised of the latest information and communication technologies (ICTs), which are based on establishing the relationship between the conventional electricity systems along with the usage of smart meters and distributed generation. This dynamic improves energy efficiency and the integration of renewables. Well, the dynamic and reversible power injection from Distributed Energy Resources (DERs) creates substantial operational problems. These …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 10–15 Read article