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1162 articles for “Monitoring”
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Sentinels of Safety: A Robotic Revolution in Autonomous Landmine Detection for Humanitarian Resilience
Abstract: Landmine Detection Robotic Vehicle Project is to create an autonomous robotic system that can identify landmines in dangerous locations. The rover navigates through a variety of terrains by using modern sensor technology, such as metal detectors and infrared photography, to detect buried landmines. The rover can distinguish between potentially dangerous items and harmless ones. The principal aim of the project is to optimise the efficacy and security of landmine removal …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 28–34 Read article
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Enhancing Smart Grid Security: Machine Learning Approaches for Detecting Anomalies
Abstract: The integration of Information and Communication Technology (ICT) with traditional electric grids has led to the development of smart grids. However, this integration has also increased the risk of anomalies, such as cyber-attacks, metering fraud, electricity theft etc. False Data Injection Attacks are a class of cyber-attacks against power grid monitoring systems, where adversaries can inject false data to manipulate the grid’s operation. Metering frauds pertain to malicious customers com- …
Published in Trends in Electrical Engineering · Vol. 14, Issue 2, 2024 · pp. 10–19 Read article
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Design and Implementation of an IoT-Enabled Autonomous Hexapod Robot for Enhanced Navigation and Remote Operations
Abstract: This system develops an autonomous hexapod robot using an ESP32 microcontroller and IoT technology. This robot can move on its own, avoiding obstacles without human help. It's equipped with various sensors like distance and ground slope sensors. These sensors provide data to the microcontroller, helping it control the robot's movements and steer clear of obstacles. The robot runs on a battery, ensuring it can operate for extended periods without human …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 14–20 Read article
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Performance of Artificial Neural Network for Tree Species Identification using Sentinel-2 Data
Abstract: Accurate land cover mapping, especially concerning vegetation, is crucial for effective land use policy planning and sustainable forest management. Hence, achieving accuracy in mapping requires a deep understanding of composition changes, vegetation conditions, and the spatial distribution of tree species. In the spatial context of tree species, it holds significant potential for applications including invasive species monitoring, delineating contaminated areas, and biodiversity conservation. However, traditional methods for tree species identification …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 12–21 Read article
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Iot Cloud for Hydroponics System and Agriculture
Abstract: The integration of Internet of Things (IoT) technology into hydroponic systems has revolutionized modern agriculture, enabling more efficient resource utilization and higher crop yields. This project offers an Internet of Things cloud solution intended to handle the difficulties in hydroponic system management and monitoring. By leveraging sensors to collect essential data such as temperature, humidity, pH levels, nutrient concentration, and light intensity, this solution facilitates real-time data transmission to a …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 2, 2024 Read article
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Microwave Assisted Digestion For Cadmium Analysis in Yoghurt Samples Using Atomic Absorption Spectrophotometer
Abstract: This paper presents an innovative approach for the digestion of dairy products aimed at determining heavy metal concentrations using atomic absorption spectrophotometry. The present study was conducted to assess the concentration of cadmium in different Yoghurt samples. A total of 80 random samples of dairy products (20 each of sour Yoghurt, sweet Yoghurt, flavoured Yoghurt, and homemade Yoghurt) were collected from different areas of Kota city. For the analysis of …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 13, Issue 2, 2024 · pp. 24–39 Read article
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AI-Powered Approaches to Environmental Challenges: Trends, Benefits, and Limitations
Abstract: Dynamic and unpredictable characteristics of environmental processes create challenges in their management and regulation. Artificial intelligence (AI) offers a powerful solution for addressing these complexities.AI tools have become more and more popular across a range of fields and research domains due to their efficient development and rapid growth. We analyse key trends in AI applications, including predictive analytics for climate modelling, automated monitoring of biodiversity, and smart resource management. The …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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High-Definition Electroencephalography: A New Horizon in Neurological Pathology Research
Abstract: The advent of high-density electroencephalography (HD-EEG) has catalyzed a paradigm shift in the exploration of neurological pathologies. This editorial underscore its transformative potential in elucidating brain dynamics and refining diagnostic approaches for a spectrum of conditions, spanning from epilepsy and dementia to cognitive impairments in preterm infants. Our objective is to optimize the utility of HD-EEG by emphasizing the imperative for methodological homogenization and fostering collaborative endeavors. The remarkable spatial …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 15–21 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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The Interplay Between Hyperglycemia, Endothelial Dysfunction, and Cardiovascular Risk in the Context of COVID-19: Implications for Long-term Health
Abstract: The COVID-19 pandemic has highlighted the potential impact of hyperglycemia, especially its link to cardiovascular disease (CVD) and endothelial dysfunction. COVID-19 can cause systemic inflammation and endothelial damage, worsening complications related to hyperglycemia. Persistent inflammation and endothelial dysfunction are crucial elements in the progression of atherosclerosis and other cardiovascular diseases. The long-term health effects of COVID-19, known as “Long COVID” or post-acute sequelae of SARS-CoV-2 infection (PASC), have raised concerns …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 2, 2024 · pp. 27–31 Read article
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Automatic Solar Panel Cleaning Robot Using Wi-Fi
Abstract: Addressing fuel shortages stands as one of the most critical global challenges today, alongside the significant issue of water scarcity for both urban and rural populations. A considerable portion, around 60-70%, of the country's electricity demand is fulfilled by burning wood and agricultural waste. Solar energy is the most abundant renewable energy on earth which doesn’t pollute the environment while producing the energy. Solar power, harnessing renewable energy from gentle …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 2, 2024 · pp. 6–11 Read article
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Flavor Flow: Web Implementation of Food Ordering System
Abstract: Our proposed framework is a web food request framework that enables customers to use it easily. It subdues the disadvantages of the queuing system. The proposed framework could serve as a platform for convenient online food ordering from restaurants. This system enhances the process of receiving orders from customers. The online food ordering system presents a menu online, allowing customers to place orders according to their preferences easily. Additionally, customers …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 3, 2024 · pp. 11–15 Read article
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Crime Prediction and Criminal Identification System Using Machine Learning
Abstract: Advanced machine learning and data analytics-driven crime prediction and criminal identification systems have become game-changing instruments for contemporary law enforcement. Utilizing past crime statistics, surveillance footage, and additional resources, these systems forecast criminal activity, manage resources efficiently, and improve investigation capacities. With an emphasis on their importance in enhancing public safety and lowering crime rates, this paper presents an overview of criminal identification and prediction systems. Examining the technologies and …
Published in International Journal of Electronics Automation · Vol. 2, Issue 1, 2024 · pp. 28–34 Read article
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Bank Locker Security System Using Machine Learning
Abstract: The Bank Locker Security System integrates cutting-edge technology solutions to strengthen the security of bank locker facilities. This system uses biometric identification techniques, such as facial recognition and fingerprint scanning, to confirm users' identities before granting them access to the lockers. Furthermore, access control techniques based on RFID technology are employed to augment security protocols. The locker area is equipped with real-time monitoring and alerting tools that enable fast detection …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 1, 2024 · pp. 16–20 Read article
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Kinetics of Soil Contaminant Degradation Enhanced by Jatropha Tanjorensis Leaf Bio-Stimulant
Abstract: The data obtained from the experiment show a high viability of the plant extracts in the biodegradation process, the maximum specific rate was determined. Also, application of Michael Menten’s equation were also applied, the maximum dissociation rate constant was obtained from lineweaver bulk plot, for both sun-dried and room dried at 100 g of CPED and CPEL as RMAX to be 1000 ppmday-1 and 555.55 ppmday-1 whereas KPTH 3190.16 ppm-1 …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 1, 2024 · pp. 01–06 Read article
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Security System (Motion Capture) Based on Raspberry Pi
Abstract: This paper describes a state-of-the-art security system that uses motion capture technology to offer a reliable and flexible security solution for small-business and home settings. The Raspberry Pi, ESP32 camera module, and PIR (Passive Infrared) sensor are the three main components of the system, and they cooperate to identify and document any unusual behavior. As the system's central processing unit, the Raspberry Pi is in charge of coordinating all of …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 30–35 Read article
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A Research Study on Navigating Medication Risks Through MFRS (Medication Fall Risk Score and Evaluation Tool) and DART (Drug Associated Risk Tool) Among Patients with Polypharmacy
Abstract: Background information: The advancements in medical science continue, but the safety of medication usage is still a question mark and has become a crucial area for researchers to focus on. In the need of the above, various scoring systems and tools have been developed in pharmacy practice research. Prior to the present work, we did a systematic review and meta-analysis and identified two such tools: the medication fall risk score …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 1–13 Read article
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ML Associated DoS and DDoS Attack Observation in Protection
Abstract: DoS and DDoS assaults are significant risks to the availability and integrity of online services and networks. Attack traffic might come from a variety of geographical regions, making it difficult to filter and neutralize the attack. DDoS attacks are far more sophisticated and powerful than DoS attacks. They use a network of compromised devices, known as a botnet, to launch a coordinated attack on a target. Monitoring and evaluating the …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 18–26 Read article
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Initiation of Distress in Asphalt Concrete After Practicing Moisture Damage
Abstract: The moisture damage of asphalt concrete is considered as major type of distress in heavy rainfall environment. In this work, the decline in the initial flexural stiffness of asphalt concrete was monitored after practicing the moisture damage process. The variations were analyzed relative to the control mixture. Asphalt concrete mixtures were created in the laboratory with the optimal binder content. Extra mixtures were also prepared with ±0.5% variation of binder …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 7–13 Read article
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Innovative Technology for Water Purification
Abstract: Water purification is critical for ensuring access to clean and safe drinking water, which is essential for public health, environmental sustainability, and economic development. Recent advancements in water purification technologies offer innovative solutions to address the growing challenges of water contamination and scarcity. This paper explores state-of-the-art technologies that are revolutionizing the field of water purification. Key innovations include nanotechnology-based filtration systems, advanced oxidation processes (AOPs), biomimetic membranes, and solar-powered …
Published in Journal of Water Pollution & Purification Research · Vol. 11, Issue 2, 2024 · pp. 11–16 Read article