Publications by authors named "Nattha Jindapetch"

Vehicle-to-vehicle (V2V) communications are important for intelligent transportation system (ITS) development for driving safety, traffic efficiency, and the development of autonomous vehicles. V2V communication channels, environments, mobility patterns, and mobility speed significantly affect the accuracy of autonomous vehicle control. In this paper, we propose a versatile system-level framework that can be used for investigation, experimentation, and verification to expedite the development of autonomous vehicles.

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Article Synopsis
  • Memristors are making strides in brain-inspired computing but face challenges due to unstable conductive filament processes with active metal electrodes, affecting device performance.
  • A new robust memristor with carbon conductive filaments shows improved performance, boasting low power requirements, high retention times, and strong endurance in device cycles.
  • The memristor achieves a high accuracy rate of 96.87% in recognizing MNIST handwriting, demonstrating its potential for neuromorphic computing applications, as shown by programmable pulse modulation and confirmed through transmission electron microscopy and first-principles calculations.
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In this paper, contactless monitoring and classification of human activities and sleeping postures in bed using radio signals is presented. The major contribution of this work is the development of a contactless monitoring and classification system with a proposed framework that uses received signal strength indicator (RSSI) signals collected from only one wireless link, where different human activities and sleep postures, including (a) no one in the bed, (b) a man sitting on the bed, (c) sleeping on his back, (d) seizure sleeping, and (e) sleeping on his side, are tested. With our proposed system, there is no need to attach any sensors or medical devices to the human body or the bed.

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Background: The goal of this study was to assess the reliability of electromyography and range of motion measurements obtained using a knee exercise monitoring system. This device was developed to collect data on knee exercise activities.

Methods: Twenty healthy individuals performed isotonic quadriceps exercises in this study.

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In this paper, a real-time knee extension monitoring and rehabilitation system for people, such as patients, the elderly, athletes, etc., is developed and tested. The proposed system has three major functions.

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In this paper, implementation and validation of a target tracking system based on the received signal strength indicator (RSSI) for an indoor corridor environment of the hospital is presented. Six tracking methods of a moving target (i.e.

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