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1548 articles for “AC drive”
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Artificial Intelligence based Sustainable Decision Intelligence for Climate Action
Abstract: This paper proposes a Sustainable Decision Intelligence (SDI) framework to address the limitations of traditional climate policy through AI-driven analytics. By reviewing literature from 2020–2026, the study examines the impact of Artificial Intelligence (AI) on climate forecasting, energy optimization, and biodiversity monitoring, categorizing these tools into predictive, optimization, and policy intelligence layers. While acknowledging critical hurdles like data bias and computational energy costs, the research argues that integrating AI into …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Accident Prevention System Using Multisensors
Abstract: In developing countries, one of the main The reason for death is road accidents. Especially in a diverse country like India we can see all types of terrains and slopes which are sometimes difficult to drive on [1]. For humans while driving the primary concern is always safety Therefore, we should be always extra cautious whenever we are driving. But accidents are not only caused by not only by external …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 1, 2021 · pp. 1–5 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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An Overview on AI-Driven IoT Based Decision Making in Climate change Study: KSK approach in Climate Change Study
Abstract: As the Earth’s climate enters a state of unprecedented volatility, the traditional methods of ecological observation—characterized by delayed reporting and fragmented data—are no longer sufficient. This study investigates the paradigm shift toward AI-driven IoT (KSK Approach)-based decision-making frameworks as the primary frontier in climate science. By deploying a "planetary nervous system" of interconnected sensors—measuring everything from soil moisture in the Sahel to glacial melt rates in the Arctic—we generate a …
Published in International Journal of Climate Conditions · Vol. 3, Issue 1, 2026 · pp. 1–10 Read article
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A Real-time Automated Drowsiness Detection of Driver Using the Visual Behaviour and Machine Learning Technique Through WebCam
Abstract: In our day-to-day life, many accidents can occur due to the drowsiness of the driver. It is one of the causes of road accidents. To prevent accidents, we proposed a system to detect the drowsiness of driver by measuring the eye aspect ratio, mouth yawning and alert the driver. It will save the life of a person. In this, the driver fatigue is continuously captured by webcam. Image processing methods …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 2, 2023 · pp. 10–19 Read article
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Application of AI Driven Robots and Their Future Direction
Abstract: AI-driven robots have found applications in various domains, including manufacturing, healthcare, logistics, agriculture, and more. Robots with computer vision and machine learning skills are improving accuracy, productivity, and quality control in manufacturing. In healthcare, robotic surgery and patient care assistance are becoming increasingly common. Logistics and warehousing benefit from AI-driven robots for tasks such as autonomous navigation and inventory management. Within the field of agriculture, robots find application in activities …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 3, 2023 · pp. 1–10 Read article
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Road Health Monitoring System
Abstract: The purpose of our project is to create a pothole detecting system that helps drivers avoid potholes on the road by providing them with warnings in advance. These alerts could come in the form of an LED light display or a buzzer. This can be utilised on a four-wheeler, particularly by ambulance drivers so that they can quickly save numerous of lives. Road surface quality needs to be regularly evaluated …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 11, Issue 2, 2023 · pp. 1–9 Read article
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Development of Random Pulse Width Modulation in Power Electronics Converter
Abstract: With the new advancement in power electronic devices the high frequency system can often causes acoustic noise, mechanical vibration, EMI related problems in inverter-fed AC machine due to harmonics content in voltage and current waveforms which makes operator feel uncomfortable to work. Proposed work deals with one of the Pulse Modulation Technique, Random Pulse Width Modulation (RPWM), which is a new and effective technique to let the inverter-fed ac motor …
Published in Journal of Microelectronics and Solid State Devices · Vol. 3, Issue 1, 2016 · pp. 1–8 Read article
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Novelty of Cascaded Inverter Based Two Stage Power Conditioning Systems for Constant Wind Power Applications
Abstract: Wind energy has proved to be the most promising renewable energy source because of its environmental friendly nature. Wind energy can be generated by harnessing the kinetic energy of atmospheric air. The present concern towards wind turbines is to increase the size of turbine in order to harvest more energy and also to reduce cost of per megawatt capacity. This paper proposes a 2-stage power conversion technique. The first stage …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 1, 2016 · pp. 1–11 Read article
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Driver Drowsiness Alert System
Abstract: In the present era, the increasing frequency of accidents during prolonged road trips, primarily attributed to driver fatigue, is a matter of serious concern. Recognizing this challenge, our goal is to develop a driver drowsiness alert system to effectively address and alleviate these incidents. Theproposed system utilizes a webcam to capture real-time images of the driver's eyes, employingmachine learning algorithms to promptly identify signs of fatigue. Upon detecting drowsiness, the …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article
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IoT-based Driver's Doziness Detection
Abstract: A couple of lakh injuries have happened because of numerous factors, including terrible usage, avoiding protection, motive force fatigue, and so forth. According to statistics, driver indolence constitutes 40% of injuries. Internet of things (IoT) can assist in decreasing the number of accidents. To resolve this problem, a machine for motive force doziness detection is presented in this article. This device uses a system learning algorithm to usually monitor the …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 11, Issue 3, 2023 · pp. 1–9 Read article
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Detection System for Driver Somnolence
Abstract: Driver fatigue detection may be a vehicle device that aids in preventing accidents brought on by drowsy driving. numerous studies have schooled that around simple fraction of all road accidents a fatigue-related, up to one-half on bound roads. Many of these devices track driver behavior and can detect when a driver starts to feel sleepy. In the field of accident avoidance systems, the development of technology for the identification or …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 9, Issue 2, 2022 · pp. 20–25 Read article
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Enhancing Road Safety: A System for Vehicular Accident Detection, Prevention, and Rescue Alerts
Abstract: The Vehicular Accident Detection, Prevention, and Rescue Alert System is a comprehensive solution aimed at bolstering road safety by integrating multiple advanced technologies. It merges drowsiness detection, alcohol level monitoring, and instant emergency alerts to mitigate accidents and expedite rescue efforts. Modern computer vision and machine learning techniques are used by the Drowsiness Detection Alarm to track driver conduct and spot drowsiness indicators. Upon detecting drowsiness, an immediate alarm is …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 7–11 Read article
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Advanced Eye State Analysis for Bus Driver Fatigue Detection
Abstract: By using this method, we want to increase road safety by reducing the number of accidents caused by drowsy driving. The automatic identification of driving weariness is handled by this technology, which is based on optical data and artificial intelligence. We locate, track, and look at the driver's face and eyes to measure PERCLOS (% of eye closure) with Soft Max for the neural transfer function. Driver fatigue is one …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 1, 2023 · pp. 33–37 Read article
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IoT-Enabled Multi-Sensor Accident Detection and Automatic Rescue Alert System
Abstract: Road accidents and vehicle instability caused by skidding, engine overheating, and improper braking behavior remain major concerns in modern transportation systems. This project presents an intelligent vehicle safety and accident detection system that integrates multiple sensors and control logic to enhance driving safety and reduce accident severity. A vibration sensor is employed to detect collision or impact events and accurately identify vehicle accidents. An accelerometer sensor is used for real-time …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 1, 2026 · pp. 9–19 Read article
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An approach of Computer Vision Methods for Driver’s Drowsiness and Yawn Detection
Abstract: Numerous studies have demonstrated that 4,444 traffic crashes are primarily caused by driver drowsiness. Due to advancements in digital computer systems, tiredness behaviour may now be studied by researchers worldwide. The goal of this project is to increase road safety by preventing accidents caused by sleepy drivers. To view the driver's face, use real-time facial recognition technology. A driver's attentiveness and reaction time may be impacted by weariness, which raises …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 21–26 Read article
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Assessment of Traffic Accident at Baghdad Urban Area
Abstract: Road safety is a priority concern and it is one of the major issues in the planning for intelligent transportation system. Traffic fatalities in Iraq can be considered as the major cause of death rather than the terrorist operations for the last few years according to Central Statistical Organization of the Ministry of Interior. In this investigation, the data of Central Statistical Organization related to traffic accidents for the years …
Published in Trends in Transport Engineering and Applications · Vol. 6, Issue 2, 2019 · pp. 30–35 Read article
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Sensor and AI based Pre-Detection Systems Transfiguring Intoxication & Smoking
Abstract: The ubiquitous problems of drunkenness and uncontrolled smoking continue to pose substantial hazards to public health, safety, and productivity in a world that is becoming more linked and protective of its personal safety. The costs to society and the economy are substantial, and they range from automobile accidents caused by impaired driving to accidents that occur in the workplace, and from chronic health disorders that are connected to smoking to …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 37–50 Read article
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Driver Drowsiness Detection System Using Python, OpenCV and Raspberry Pi
Abstract: The number of accidents and deaths can be greatly decreased by using intelligent systems to prevent auto accidents. Human mistakes, such as drowsy driving, are one of the variables that significantly contribute to accidents. The system looks for symptoms of fatigue and sleepiness on a person's face while they are driving. It is based on an image processing technique. This project presents a way to analyze and anticipate driver drowsiness …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 2, 2023 · pp. 6–15 Read article
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Braking System in Two Wheelers using Resistance of Air
Abstract: In this paper, we look at how motorcycle brake systems come in a variety of designs and technical solutions. An ABS system can be added to a traditional system with two independent circuits to improve safety and stability. By establishing a hydraulic link between the front brake control and the rear calliper, or vice versa, a combined braking system can be constructed to improve safety and comfort. This paper focuses …
Published in Journal of Automobile Engineering and Applications · Vol. 8, Issue 3, 2021 · pp. 25–28 Read article