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505 articles for “monitoring”
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Predicting Dispersion Rate of Nitrobacter Pressured by Potassium Deposition in Silty Clay Formation at Wetland Area of Port Harcourt
Abstract: This study predict the dispersion rate of Nitrobacter in silty clay, the study were developed to determine the rate of dispersions under the pressure of phosphorus in the study area, coastal deposition were observed to develop lots of Nitrobacter contaminant in the coastal environment, investigation carried out by other experts proof abortive in monitoring and evaluation of dispersion rate in the costal location, based on this factors, it becomes imperative …
Published in International Journal of Water Resources Engineering · Vol. 4, Issue 1, 2018 · pp. 45–51 Read article
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Anomaly Detection Network for Surveillance Video
Abstract: Anomaly Activity is the prediction of a suspicious activity from a picture or video. This project would include using neural networks to detect suspicious human activity from real-time CCTV video. Human Anomaly Activity is a central issue in computer vision that has been researched for over 15 years. It is significant due to the large number of applications that can benefit from Activity detection. Human pose estimation, for example, is …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 2, 2021 · pp. 13–20 Read article
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IoT Based Solar Powered System for Smart Field Irrigation with Real Time Surveillance for Smart Agriculture in Bangladesh
Abstract: Agriculture is the essential source of livelihood for people in Bangladesh. It plays major part in economy of the nation. In Bangladesh about 75% of population depends upon agriculture and one third of the country’s income comes from agriculture. Issues concerning agriculture have been continuously ruining the improvement of the nation. But at present due to movement of individuals from countryside to urban there is obstacle in agriculture. On the …
Published in International Journal of Electrical Power System and Technology · Vol. 6, Issue 2, 2020 · pp. 31–37 Read article
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IoT Based Inventory System
Abstract: In this paper, we introduce the inventory system that is based on the IoT (Internet of things) means you can monitor your data from anywhere in the world. This system is useful in many ways like in industry after manufacturing the data to measure the production per day, in the shops to monitor the food items like dal, pulses, etc., and in the restaurants for monitoring the food items. This …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 22–30 Read article
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Analyzing Crowds with Deep Learning: A Review of Methods and Challenges
Abstract: With the growing population, the need for an effective crowd management tool emerged. It is important to monitor and analyze unusual crowd movements and behavior for many applications such as peaceful events, protests, gatherings, or traffic management. Current systems, such as video surveillance, are a useful technique for crowd monitoring, but they require human visual capabilities to monitor the crowd. This work is a paper on Crowd Analysis using convolution …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 30–42 Read article
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Advancements in Home Automation through IoT Integration: A Literature Review
Abstract: The increasing popularity of home automation systems stems from their numerous benefits, allowing for remote monitoring and management of household equipment. With the continuous growth of the Internet and its applications, there is great potential for remote access, control, and monitoring of network-enabled appliances. A few benefits of IoT home automation are increased convenience, energy efficiency, and security. By automating several tasks, homeowners can reduce energy use and expenses while …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 9, Issue 1, 2023 · pp. 57–65 Read article
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Arduino Based Traffic Light Control System Using NRF Module
Abstract: ABSTRACTTraffic congestion is a major problem for any contemporary major city. Transportation systems are heavily burdened due to traffic congestion. A major impact of slow moving traffic is the danger posed to critical vehicles like an ambulance as it can cause loss of human capital to any country. A possible solution is to automate the traffic signal controlling mechanism by allowing real time monitoring. Such an approach is expected to …
Published in International Journal of Microwave Engineering and Technology · Vol. 6, Issue 1, 2020 · pp. 27–31 Read article
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SOC estimation for Battery Management Systems using Li-ion Batteries in Electric Vehicles
Abstract: Since the battery system controls the occupants' safety, functioning, and even life, most electric vehicles (EVs) require battery monitoring. This is precisely what Battery- management system is: to monitor and regulate the condition of the battery among the parameters set for safe operation. For safe and dependable operation, electric vehicles (EVs) need high rated capacity batteries and appropriate battery management systems (BMS). Consumer adoption of high energy density battery materials …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 9, Issue 1, 2023 · pp. 13–21 Read article
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Electric Vehicle Battery Protection System
Abstract: The electric vehicle drives through the battery; hence it is one of the most vital components of EVs. To ensure the security of battery from potential damages such as excessive charging & discharging and excessive overheating, the electric vehicle battery protection system (EV BPS) acts as a solution that helps in enhancing the reliability and lifespan of the battery. The EVBPS consists of three systems: the first system is battery …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 9, Issue 2, 2023 · pp. 49–61 Read article
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Nanomechanics in Medicine
Abstract: Nanomechanics, an emerging field at the intersection of nanotechnology and mechanics, holds great promise for revolutionizing medicine. This article explores the significant role of nanomechanics in various aspects of healthcare, including diagnostics, drug delivery, tissue engineering, and cancer detection.One of the key applications of nanomechanics in medicine is in the development of nanomechanical sensors for disease detection. These sensors can detect biomarkers associated with diseases such as cancer at very …
Published in International Journal of Applied Nanotechnology · Vol. 9, Issue 2, 2023 · pp. 22–26 Read article
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Recent Developments in Nanosensors for Biomedical Applications
Abstract: In recent years, nanosensors have become increasingly popular due to their potential applications in various biomedical fields. These sensors have the ability to detect various biomolecules, ions, and pathogens at the nanoscale level, which is crucial in disease diagnosis and monitoring. The purposeof this article is to provide a comprehensive review of the latest developments in nanosensors for biomedical applications. We focus on the different types of nanosensors, including optical, …
Published in International journal of Nanobiotechnology · Vol. 8, Issue 2, 2022 · pp. 16–20 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Faults in On-Load Tap Changer of a Transformer: An Innovative Approach to Mechanical Fault Diagnosis
Abstract: On-load tap changer (OLTC) is very important for maintaining or regulating output voltage, but it has moving contact & complex switching mechanisms which contributes to the failure of on-load tap changer. Faults in OLTC such as Coking Contact wear and damaged transition resistors significantly reduce reliability of transformers which may lead to catastrophic failures of transformers. There are some traditional approaches for diagnostics of OLTC, such as Static Resistance Measurements, …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Optimizing Power Quality and System Efficiency in Wind Energy Conversion Systems for Enhanced Stability and Robust Integration with the Electrical Grid
Abstract: Wind energy is becoming one of the fastest growing renewable source in the world. It is clean and low cost, but when wind system connects to electrical grid there are many challenges like voltage fluctuation, harmonics, power loss and less stability. Power quality and efficiency problem make difficulty for strong integration with grid. For this reason, many research work is going on in area of condition monitoring, converter design, storage …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Fault-Tolerant Modular Power Converter for Large-Scale Renewable Energy Integration
Abstract: The rapid expansion of large-scale renewable energy systems has significantly increased the demand for highly reliable and fault-resilient power electronic converters capable of maintaining stable grid operation under component failures and fluctuating renewable power generation. This paper proposes a Fault-Tolerant Modular Power Converter (FTMPC) for large-scale renewable energy integration, incorporating a modular multilevel architecture, intelligent fault diagnosis, and adaptive reconfiguration control to ensure uninterrupted power conversion. The proposed converter continuously …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Classification of power quality disturbances using advanced deep learning algorithms for Accurate and efficient electrical signal analysis
Abstract: Power systems today have to deal with more and more power quality issues (PQDs) like voltage drops, rises, harmonics, and transients because more people are using renewable energy sources and electronic devices. These problems can hurt equipment, stop services, and lower the overall reliability of power. In real-time settings, traditional detection methods often don't work as quickly or accurately as they should. This paper looks at how deep learning models, …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Total Petroleum Hydrocarbon Degradation with the Action of Bio-stimulant using NPK Fertilizer
Abstract: The total petroleum hydrocarbon degradation with the action of bio-stimulant using NPK fertilizer was monitored with respect to different concentration of dosages. The nature of the curve in relationship to the establishment of the equation of the line as well as the square root of the best of each line or curve was considered. The application of this concept enhanced the determination of the kinetic values of each bioreactor process, …
Published in International Journal of Green Chemistry · Vol. 12, Issue 1, 2026 · pp. 26–33 Read article
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An Integrated Machine Learning and IoT-Based Framework for Predictive Urban Water Demand Management and Distribution Optimization
Abstract: Abstract Urban water resource management has become increasingly complex due to rapid urbanization, population growth, climate variability, and aging infrastructure. Conventional water management approaches are often reactive, inefficient, and incapable of handling real-time fluctuations in demand and supply. This study proposes an integrated framework that combines machine learning (ML) techniques with Internet of Things (IoT)-based real-time monitoring to enhance water demand prediction and optimize distribution systems in urban environments. The …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 Read article
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Design and Implementation of an IoT-Based Smart Lux Level Controller for Intelligent Lighting System
Abstract: In order to improve the automation and effectiveness of lighting systems in smart buildings, this research details the development of a Smart Lux Level Controller based on the Internet of Things (IoT). Using a BH1750 light sensor, the system continually measures the ambient lux levels and instantaneously adjusts the artificial lighting intensity to ensure optimal illumination. An ESP32 microcontroller analyzes sensor data and controls lights using relay switches or dimming …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article