The integration of IoT and ML technologies in the healthcare sector has brought significant transformations, enhanced patient care and reducing costs. This research paper presents an innovative idea focuses on develop...
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One of the primary disadvantage in automobiles is an unexpected gas leak or other undesired gas detection, the vehicle will either abruptly stop operating or a fire accident may occur. While at sudden shutdown of runn...
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ISBN:
(纸本)9798331540661;9798331540678
One of the primary disadvantage in automobiles is an unexpected gas leak or other undesired gas detection, the vehicle will either abruptly stop operating or a fire accident may occur. While at sudden shutdown of running vehicle or on bust of unpredictable disaster before the passenger takes precaution which leads to various accidents. The proposed system consists of a Node MCU to control the entire system. The model also consists of buck converter, air quality sensor, servo motors, cooling fans, voltage regulator and NPN transistor. The gas sensor is connected with Node MCU which opens the windows, in case of any detection of undesirable gas in vehicle. To inspect the current state of electrical parameters in real time and control them through the Internet of Things, the ESP8266 module linked with the mobile application is also connected. This project enables the system to provide immediate feedback to users via a user-friendly interface, accessible through mobile applications. By empowering occupants with real-time air quality insights, this IoT enabled solution aims to enable a healthier and safer driving environment, thereby contributing to overall well-being and environmental sustainability.
This paper designs an automatic controlsystem with PID controller and Kalman filter when the feedback sensor noise is particularly troublesome for a PID controller's derivative action. As a target plant, a ball &...
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Innovative human-machine interfaces (HMIs) have attracted increasing attention in the field of systemcontrol and assistive devices for disabled people. Conventional HMIs that are designed based on the interaction of ...
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Innovative human-machine interfaces (HMIs) have attracted increasing attention in the field of systemcontrol and assistive devices for disabled people. Conventional HMIs that are designed based on the interaction of physical movements or language communication are not effective or appliable to severely disabled users. Here, a breath-driven triboelectric sensor is reported consisting of a soft fixator and two circular-shaped triboelectric nanogenerators (TENGs) for self-powered respiratory monitoring and smart systemcontrol. The sensor device is capable of effectively detecting the breath variation and generates responsive electrical signals based on different breath patterns without affecting the normal respiration. A breathing-driven HMI system is demonstrated for severely disabled people to control electrical household appliances and shows an intelligent respiration monitoring system for emergence alarm. The new system provides the advantages of high sensitivity, good stability, low cost, and ease of use. This work will not only expand the development of the TENGs in self-powered sensors, but also opens a new avenue to develop assistive devices for disabled people through innovation of advanced HMIs.
Cyber-physical systems can be subject to sensor attacks, e.g., sensor spoofing, leading to unsafe behaviors. This paper addresses this problem in the context of linear systems when an omniscient attacker can spoof sev...
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The integration of advanced ventilation systems with environmental air monitoring presents a major challenge in modern building management and urban development. The structure of buildings becomes more airtight, energ...
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ISBN:
(纸本)9783031747373;9783031747380
The integration of advanced ventilation systems with environmental air monitoring presents a major challenge in modern building management and urban development. The structure of buildings becomes more airtight, energy efficient indoor air quality (IAQ) becomes increasingly difficult. This paper investigates the need for ventilation strategies using real-time data and Internet of Things (IoT) technology to ensure a better environment. We introduce a decentralized smart ventilation system that employs control algorithms and localized sensor data to enhance ventilation performance. Our approach incorporates sensors in each room or zone to continuously monitor temperature, humidity, and occupancy levels. This data is transmitted to decentralized control units, which process the information to adjust ventilation settings according to the specific needs of each area. The above approach is useful and tested in the Earth air Tunnel cooling system on university premises.
CARLA, an open-source simulator for autonomous vehicle research, is known for its comprehensive capabilities but also its complexity, which requires substantial technical expertise and limits broader usage. This paper...
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Telemonitoring, telemedicine, and telerehabilitation are becoming essential technologies for improving health-care. Particularly useful for assessing the physical and cognitive status of frail individuals, telemonitor...
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This study presents the development and implementation of a PID steering controlsystem for lane-keeping assistance using an IMU sensor and ROS (Robot Operating system). The system leverages the capabilities of the Te...
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In this paper, we design a learning-based sensor selection procedure for an unknown cyber-physical system. In particular, a set of sensors that maximize a metric of observability of the system is chosen, but without u...
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