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Electrical Engineering (FORTEI-ICEE), FORTEI-International conference on

作者： Muhammad Rahmat Mohamad Agung Prawira Negara Gramandha Wega Intvanto Muh Nurkoyim Kustanto Widjonarko Khairul Anam Department of Electrical Engineering University of Jember Jember Indonesia Department of Mechanical Engineering University of Jember Jember Indonesia

ISBN: (数字)9798331542207

ISBN: (纸本)9798331542214

The implementation of an advanced Driver Assistance system (ADAS) for electric vehicles used in transporting pediatric patients in a hospital setting can significantly enhance safety and comfort. This study aims to develop and implement a Fuzzy Logic-based advanced Driver Assistance system (ADAS) to enhance the safety of electric transportation for pediatric patients in hospitals. The system utilizes Light Detection and Ranging (LIDAR) sensors and rotary encoders to detect distance and speed, while employing fuzzy control to regulate braking and avoid collisions. Testing of the ADAS with fuzzy logic yielded promising results in improving the safety of electric vehicles for pediatric patients. This is evident from the system's ability to swiftly respond to dynamic obstacles and effectively manage braking across various LIDAR detection ranges. The fuzzy system facilitates more flexible handling of uncertainties in dynamic environments, which is particularly crucial in a hospital setting with considerable activity and movement. The test results indicate that the sensors and fuzzy algorithms used in the system had a low error rate, with the highest being 5.90%. The system performed well in various dynamic and static conditions, stopping within the targeted distance in all scenarios. However, under loaded conditions, the speed during moderate braking fluctuated slightly (16 cm/s to 14 cm/s) at moderate PWM. Usability testing suggests that the system is generally well-received by users, although there remains room for further improvement.

关键词： Fuzzy logic Laser radar Hospitals Heuristic algorithms Pulse width modulation Electric vehicles sensor systems Safety Vehicle dynamics advanced driver assistance systems

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Online Pattern Recognition of Time-series Gas sensor Data with Adaptive 2D-CNN Ensemble 11

Online Pattern Recognition of Time-series Gas Sensor Data wi...

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11th IEEE International conference on Intelligent Data Acquisition and advanced Computing systems - Technology and Applications (IDAACS)

作者： Pareek, Vishakha Chaudhury, Santanu Singh, Sanjay CSIR Cent Elect Engn Res Inst Pilani 333031 Rajasthan India Acad Sci & Innovat Res AcSIR Ghaziabad 201002 India Indian Inst Technol Delhi Delhi 110016 India

ISBN: (纸本)9781665426053

Intelligent sensor system design demands the efficient pattern recognition method that uses raw time-series sensor data to identify the target gas with fast and accurate results. The presented work uses gas sensor array response (open sampling setting) for 10 bio-marker gases. The responses are obtained at different concentrations. We propose a 2D convolution neural network (2D-CNN) based adaptive ensemble network for gas identification. The Spatio-temporal correlation of sensor array responses inspired us to design deep-learning-based gas identification networks. The network uses raw time-series gas sensor array data and identifies the target gas mixtures with improved accuracy despite sensor drift. Experimental results show that the proposed methods are an effective technique with identification accuracy approximately 91% for identifying gas mixture for smart sensor system application. The proposed method outperforms and provides higher identification accuracy than comparable various machine learning and deep learning methods.

关键词： 2D-CNN Pattern Recognition Ensemble Gas sensor

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Brain Computer interface controlled Wheel Chair

Brain Computer Interface Controlled Wheel Chair

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International Virtual conference on Intelligent Robotics, Mechatronics and Automation systems 2021, IRMAS 2021

作者： Sharma, Himanshu Mahajan, Rahul Sakthivel, G. Saravanakumar, D. Raghukiran, N. School of Mechanical Engineering Vellore Institute of Technology Chennai India Center for Automation Vellore Institute of Technology Chennai India

Brain computer interface wheel chair specially designed for paralyzed and disabled person who are not capable to operate normal wheel chair. This wheel chair is based on (BCI) Brain computer interface, it can control the wheel chair from brain neurons by the help of BCI. Brain computer interface (BCI) is a computer-based system that obtain brain signal that can be controlled by Neurosky sensor which is an electrophysiological process to archive the electrical activity of the brain. A BCI system recognize users to grant their determination by study their brain signals. This technology is very helpful for paralyzed and disabled person they can easily moves wheel chair in any direction. © Published under licence by IOP Publishing Ltd.

关键词： Brain computer interface

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WanderWatch: LoRaWAN-Based Monitoring system for Wandering Risk Patients

WanderWatch: LoRaWAN-Based Monitoring System for Wandering R...

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International conference on Computing, Networking and Communications (ICNC)

作者： Ahmed Abdelmoamen Ahmed Vratikaben Bhadani Department of Computer Science Prairie View A&M University Prairie View TX USA

ISBN: (数字)9798331520960

ISBN: (纸本)9798331520977

Caregivers and families of wandering risk patients (e.g., Alzheimer’s and dementia) face the critical issue of tracking those individuals’ movements to ensure their safety. Several monitoring tools are available today, including GPS trackers, RFID systems, Bluetooth-based trackers, smartwatches, home security systems with cameras and sensors, and community alert programs. However, these systems often rely on cellular networks, which can be unreliable or nonexistent in remote locations, making them unsuitable for tracking over large distances or outdoor areas. One way to address this challenge is to use Longrange Wide Area Networks (LoRaWAN) networks that do not require internet connectivity while operating independently. This paper presents WanderWatch, a LoRaWAN-based monitoring system for wandering risk patients. WanderWatch is a robust monitoring and geofencing solution that leverages advanced LoRaWAN technology, which provides reliable and long-distance communication even in areas with poor cellular coverage, ensuring continuous monitoring of patients. It combines wearable IoT devices with an advanced geofencing system to track patients in real-time and alert caregivers if they wander outside designated safe zones. Our system utilized LoRa hardware supported by an optimized Echo protocol in a zero-control mesh network to efficiently detect boundary breaches of the monitored subjects, such as patients with Alzheimer’s disease, robots mounted with IoT devices and sensors, etc. WanderWatch is evaluated with a real-world testbed using various performance metrics.

关键词： Tracking LoRaWAN sensor systems Hardware sensors Reliability Internet of Things Alzheimer's disease Monitoring Global Positioning system

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Indoor Air Quality Monitoring systems for Sustainable Medical Rooms and Enhanced Life Quality

Indoor Air Quality Monitoring Systems for Sustainable Medica...

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Mediterranean Electrotechnical conference (MELECON)

作者： Samah Mohamed Yomna Gamal Ahmed Soltan Lobna A. Said Wireless Intelligent Networks Center (WINC) Nile University Giza Egypt Nanoelectronics Integrated Systems Center (NISC) Nile University Giza Egypt

ISBN: (数字)9798350387025

ISBN: (纸本)9798350387032

Indoor air pollution poses a substantial risk to human health and well-being, underscoring the crucial requirement for efficient monitoring systems. This paper introduces an advanced Air Pollution Monitoring system (APMS) tailored explicitly for indoor settings. The APMS integrates sensors and a user interface, ensuring the delivery of real-time and precise data concerning air quality parameters such as particulate matter (PM), volatile organic compounds (VOCs), carbon dioxide (CO2), as well as temperature and humidity. The proposed APMS has several advantages, including low maintenance requirements and compatibility with existing smart home systems. By providing real-time air quality information, users gain awareness of potential hazards and are empowered to make informed decisions to improve their indoor environments. In hazardous gas readings, the system triggers alerts and uses air suction to effectively remove and absorb toxic gases, ensuring the safety of the users.

关键词： Temperature sensors Wireless communication Volatile organic compounds Wireless sensor networks Humidity Air pollution Real-time systems

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W-band On-chip Vital Sign Radar sensor using GaAs MMIC Super-Regenerative Oscillator

W-band On-chip Vital Sign Radar Sensor using GaAs MMIC Super...

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Asia-Pacific conference on Microwave

作者： Donglin Gao Shuping Li Chung-Tse Michael Wu Department of Electrical and Computer Engineering Rutgers University Piscataway USA

This paper introduces a low-power, highly sensitive W-band (75-110 GHz) super-regenerative oscillator (SRO)-based vital sign radar sensor with a SIW monopole antenna integrated. The proposed radar sensor is implemented using the $0.1-\mu m$ GaAs pHEMT technology. Operating at the center frequency of 85.283 GHz, the proposed super-regenerative oscillator leverages 100 Hz and 20 kHz sinusoidal quench signals for control during the target detection. Experimental results validate the effectiveness of the proposed sensor in identifying the displacement frequency of an actuator along with human target vital signs. The achieved results show good agreement with the ground truth. Moreover, compared to the self-injection-locked (SIL) detection scheme, the proposed SRO radar sensor demonstrates superior characteristics, such as lower power consumption, higher sensitivity, and low system complexity.

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Chilli Harvesting with Robot Operating system 2 and Reinforcement Learning

Chilli Harvesting with Robot Operating System 2 and Reinforc...

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BIT conference (BITCON), International

作者： Krishna Vamsi Kasimalla Naveen Kumar Tadikonda Sneha Kalakonda Rishik Manikanta Penumudi Vishal Kumar Pamula Venkata Rajesh Murala Dept. of EEE Velagapudi Ramakrishna Siddhartha Engineering College Vijayawada India Firmware Eruvaka Technologies Vijayawada India

ISBN: (数字)9798331518394

ISBN: (纸本)9798331518400

This research work proposes an advanced autonomous system which combines fleet management, soil monitoring, and plucking-and-place activities to harvest and manipulate red chillies in the chilli farm. The system operates with a Robot Operating system (ROS) 2 framework and Reinforcement Learning (RL) agent to collect data from the depth and RGB camera sensors. This allows for precise detection and harvesting of chillies from chilli farms. The combination of several components, such as gripper for accurate cutting and positioning, real-time communication, and effective control of multiple robotic bots. With the help of the ROS-2 framework, integration of modular and adaptable architecture is quite easy. In addition to being trained to manage a fleet of robots to optimise field operations, the RL agent can also carry out tasks like object detection, accurate plucking, cutting, and placing. The device also monitors soil conditions to help with well-informed decision-making. In environments like Gazebo, testing and simulation are used to fine-tune system performance before deployment. The main issues resolved include adjusting the RL model to realistic circumstances, guaranteeing sensor precision, refining endeffectors, and efficiently controlling fleet and soil conditions. This strategy seeks to decrease manual labour, increase operational efficiency, and improve agricultural automation.

关键词： Automation Accuracy Operating systems system performance Reinforcement learning Soil sensor systems sensors Monitoring Testing

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Combined sensor-sensorless control of PMDC Motor for HD Camera of Unmanned Monitoring system

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JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY 2020年第1期15卷 27-35页

作者： Lee, Dong-Hee Kyungsung Univ Dept Mechatron Engn Busan South Korea

This paper presents a position control scheme for a high-definition serial digital interface (HD-SDI) camera of an unmanned monitoring system. A combination of both sensor and sensorless algorithms of a permanent magnet (PM) DC motor is proposed to create smooth camera movements, stop it at desired positions, and obtain high-quality images without shaking. The back EMF of the motor can be estimated and its actual speed can be calculated accurately by using a model reference adaptive sensorless (MRAS) method. A low-resolution hall sensor is used to approximate the speed instead of measuring the actual value. The moving position can be estimated from the speed approximation and it can be used together with a sliding mode observer to modify the back EMF constant. In the advanced position control of the camera, both instantaneous speed and moving position references are determined by the acceleration and deceleration speed patterns to satisfy the dynamic response during operation. Furthermore, the instantaneous position error can be compensated by incorporating a speed reference. The effectiveness of the proposed control scheme was verified through experiments.

关键词： Position control Permanent magnet DC motor sensorless control

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A CMOS-Compatible and Actuatable 3D-Microcage Array with Shape-Memory for On-Chip Dynamic Cell Interfacing

A CMOS-Compatible and Actuatable 3D-Microcage Array with Sha...

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IEEE Biomedical Circuits and systems (BIOCAS)

作者： Zhikai Huang Fuze Jiang Hangxing Liu Ying Kong Yuguo Sheng Adam Wang Dongwon Lee Marco Saif Hua Wang ETH Zürich Switzerland

ISBN: (数字)9798350354959

ISBN: (纸本)9798350354966

Advancing our understanding of cellular behaviors necessitates effective interfacing within three-dimensional (3D) microenvironments. Most complementary metal oxide-semiconductor (CMOS)-based microelectrode arrays (MEAs) rely on planar electrode cell-interface, limiting them to 2D cell monitoring. While recent developments have introduced 3D electrodes for improved spatial resolution and cell interfacing, these configurations remain static and lack dynamic manipulation capabilities. This work introduces a novel surface electrochemical actuator (SEA)-based microcage array featuring shape-memory curvature and individually addressable arms for advanced cellular interfacing. Fabricated through standard silicon processing techniques, the SEA-based microcage array demonstrates CMOS post-processing compatibility, facilitating seamless integration with CMOS electronics for precise microscale control and minimized signal interference. Mechanical durability and thermal stability assessments confirm the device robustness. Cell culturing and electrochemical experiments confirms device biocompatibility and cell interfacing capability as sensing electrode.

关键词： Sea surface Actuators Microelectrodes Three-dimensional displays system-on-chip sensors Thermal stability Ocean temperature Monitoring sensor arrays

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A Cloud-based Fall Detection system for Elderly Care with Passive RFID sensor Tags 3

A Cloud-based Fall Detection System for Elderly Care with Pa...

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IEEE 3rd Global conference on Life Sciences and Technologies (IEEE LifeTech)

作者： Takatou, Koichi Shinomiya, Norihiko Soka Univ Grad Sch Sci & Engn Tokyo Japan

ISBN: (纸本)9781665418751

Along with the aging population, the high incidence of fall accidents by elderly people has been a serious worldwide issue. Even though early detection of accidents is indispensable to avoid the fatal risk, a practical situation is severe due to the lack of caregivers. Especially, it is required to keep delays to a minimum when deploying a detection system in nursing homes. Therefore, a real-time monitoring system for elderly care is essential in nursing homes. This paper proposes a cloud-based system for detecting the fall accidents by the elderly in real-time with passive RFID sensor tags. We have developed and implemented a prototype system using a public cloud service.

关键词： aging society fall detection monitoring system RFID machine learning cloud computing

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