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检索条件"任意字段=Conference on Advanced Sensor and Control-System Interface"

共 6865 条记录，以下是351-360 订阅

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Comparison of Mobile Platform Teleoperation systems Using a Force-Torque sensor and a Joystick 26

Comparison of Mobile Platform Teleoperation Systems Using a ...

引用

26th International conference on Methods and Models in Automation and Robotics

作者： Pawlowski, Adam Wolniakowski, Adam Romaniuk, Slawomir Bialystok Tech Univ Fac Elect Engn Bialystok Poland

ISBN: (数字)9781665468589

ISBN: (纸本)9781665468596;9781665468589

Mobile robots are used in more and more applications nowadays. These applications involve the research, but also real-world and industrial niches have been found where these platforms fulfill important tasks. In recent years huge focus has been put on the autonomous operation of mobile robots. However, in many tasks a direct control exerted by a human operator is necessary. These tasks may, for example, include search and rescue operations, or other tasks where human intelligence has not been yet surpassed by the machine intelligence. Furthermore, even in simple and repetitive operations it is very much desired to allow for robot programming with Learning-by-Demonstration approach. Teleoperation is therefore a very important topic. There is an extensive research covering the problem of the Human-Machine interface (HMI) aspect of teleoperation. Numerous devices exist that allow for human control of robotic platforms. These devices offer various advantages and disadvantages that make them suited for different modes of operation. In this work, we focus on implementing a mobile platform teleoperation system with the use of a force-torque sensor. We present the configuration of such system using ROS and compare experimentally the performance of the proposed device with a typicalapproach using joystick control.

关键词： force sensor joystick teleoperation method mobile robot experiment

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Design & Implementation of Brain controlled interface For Healthcare Applications

Design & Implementation of Brain Controlled Interface For He...

引用

2023 IEEE International conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2023

作者： Prabhu, Nandan Shripada, B. Shetty, Athmik Gowda, Dashvanth Singh, Chandra Prameela, N.S. Sahaydri College of Engineering & Management Electronics & Communication Engineering Department Adyar Mangalore India

ISBN: (纸本)9798350340129

BCIs have gained significant attention as a means of communication and control for individuals with disabilities or neurological disorders. However, existing BCIs often suffer from limitations such as low accuracy, complexity, and limited functionality, hindering their widespread adoption in healthcare settings. This paper aims to address these limitations by developing a BCI system that incorporates advanced signal processing techniques, machine learning algorithms, and intuitive user interfaces.A functional prototype of the BCI system is developed, integrating appropriate hardware components and software algorithms. Extensive testing and validation are conducted to assess accuracy, reliability, safety, and adaptability, with user feedback gathered through surveys and usability studies to improve user satisfaction. © 2023 IEEE.

关键词： Electroencephalography

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Design of Intentional Eye-blink Signal Acquisition and control system Based on Pressure sensor 7

Design of Intentional Eye-blink Signal Acquisition and Contr...

引用

7th International conference on Intelligent Computing and Signal Processing, ICSP 2022

作者： Shao, Xueqi Ning, Haonan Yang, Wenjun Niu, Yafeng Southeast University School of Mechanical Engineering Department of Industrial Design Nanjing China National Key Laboratory of Science and Technology on Aircraft Control Xi'an China

ISBN: (纸本)9781665478571

Eye-blink control means that users blink intentionally to realize human-computer interaction. An intentional eye-blink signal acquisition and control system based on flexible pressure sensor is designed, which aims to control the object through simple eye movements such as blinking and winking. The system uses two pressure sensors to collect the blink signals at the orbicularis oculi muscles of the left and right eyes respectively. The software part realizes the acquisition and recognition of six intentional eye-blink signals, and transmits blink-control instruction signals through Bluetooth, so as to realize the control of the remote-controlled vehicle. The advantage of this system is that it is not affected by illumination and does not need GUI interface for control. The availability of the system is qualified after system test. © 2022 IEEE.

关键词： Human computer interaction

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Integrating IoT and sensor Technologies for Smart Agriculture: Optimizing Crop Yield and Resource Management

Integrating IoT and Sensor Technologies for Smart Agricultur...

引用

2023 IEEE Technology and Engineering Management conference - Asia Pacific, TEMSCON-ASPAC 2023

作者： Ravishankar, Manoj Siddharth, Suman Yadav, Anand Anil Kassa, Sankit Ramkrishna Electronics & Telecommunication Department Pune India

ISBN: (纸本)9798350384659

This research paper explores the implementation of Smart Agriculture solutions in the context of modern farming. The project employs a range of sensor technologies, IoT devices, and cloud-based data analytics to collect, process, and provide real-time insights to farmers. The study's objectives include enhancing data-driven decision-making, improving resource efficiency, ensuring environmental sustainability, and promoting affordability and accessibility for a wide range of farmers. The research methodology involved the deployment of advanced sensors, such as soil moisture, light intensity, temperature and humidity, and barometric pressure sensors, across an agricultural field. Data collected from these sensors was integrated into a cloud-based system, which allowed farmers to access real-time information and insights through a user-friendly interface. The results of the experimentation phase demonstrated the effectiveness of the system in optimizing irrigation schedules, enhancing crop health, and conserving resources. Challenges related to data accuracy, connectivity, and initial setup costs were addressed through calibration, network stability, and affordable subscription plans, ensuring the system's practical applicability. This research paper contributes to the field of precision agriculture by providing an integrated, scalable, and accessible solution for farmers. The study emphasizes data-driven decision- making and sustainable farming practices, making it a valuable resource for enhancing agricultural productivity in the face of modern challenges. © 2023 IEEE.

关键词： Decision making

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A Modular, Adaptive, Deep-Learning-Based Brain-VR interface 12

A Modular, Adaptive, Deep-Learning-Based Brain-VR Interface

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Joint 12th International conference on Soft Computing and Intelligent systems / 23rd International Symposium on advanced Intelligent systems (SCIS and ISIS)

作者： Kapitonova, Maryna Haeringer, Zacharias Bongk, Eric Ball, Tonio Univ Freiburg Dept Neurosurg IMBIT Freiburg Germany

ISBN: (纸本)9781665499248

Brain-Computer interfaces (BCIs) may open up new possibilities for Virtual Reality (VR) applications: BCIs may be used for active brain control of VR avatars, or to make VR content passively-adaptive based on information decoded from ongoing brain activity. Application domains for such Brain-VR interfaces (BVRI) include medical and healthcare, entertainment, and education. Conversely, VR technology also opens up new possibilities for BCI research and development: E.g., gamified immersive BCI paradigms may improve subject engagement and long-term motivation, helping to study learning and adaptivity in the BCI-control context. Previously, we have demonstrated a first adaptive, deep-learning-based online BCI for the control of robotic assistants. Here, we describe the extension of this setup to a modular, extensible, VR-compatible online BCI setup. We describe how we integrated a classical active BCI control paradigm using motor imagery into a gamified interactive VR scenario, designed to enhance the long-term motivation of subjects. We also present an initial quality assessment of electroencephalographic (EEG) signals acquired with a dry-electrode system. We anticipate that the presented modular adaptive Brain-VR interface will help to understand and facilitate (co-)adaptivity during long-term BCI usage.

关键词： brain neurocontrollers artificial intelligence

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UWB Non-Line-of-Sight Recognition and Suppression Methodology 15

UWB Non-Line-of-Sight Recognition and Suppression Methodolog...

引用

15th International conference on Communication Software and Networks, ICCSN 2023

作者： Ni, Zhengshuai Zhou, Haibo Zhang, Guozheng Xu, Wangbei Tianjin University of Technology National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin China School of Mechanical Engineering Tianjin University Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin China

ISBN: (纸本)9798350329360

Ultra-Wide Band (UWB) positioning system has become the main research object in indoor positioning field due to its superior positioning performance. Accuracy at the scale of centimeters is achievable in an ideal positioning scenario. Nonetheless, the intricate and changeable indoor surroundings may cause UWB signals to propagate beyond the line-of-sight (LOS) and weaken in signal strength, resulting in a considerable reduction in the precision of positioning. In this paper, methods for identifying non-line-of-sight (NLOS) errors, alleviating NLOS errors, and integrating multi-sensor information are analyzed and studied to provide reference for improving the NLOS positioning accuracy of UWB. © 2023 IEEE.

关键词： alleviate identify multi-sensor NLOS UWB

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M2M interface for IoT Traffic Light with Computer Vision and AnyLogic PLE 16th

M2M Interface for IoT Traffic Light with Computer Vision and...

引用

16th International conference on Computational Collective Intelligence (ICCCI)

作者： Mansurova, Madina Belgibayev, Baurzhan Abdrakhim, Sanzhar Boltaboyeva, Assiya Baigarayeva, Zhanel Sarsembayeva, Talshyn Al Farabi Kazakh Natl Univ Alma Ata Kazakhstan Hong Kong Polytech Univ Hong Kong Peoples R China

ISBN: (纸本)9783031702587;9783031702594

This paper proposes an advanced traffic light control system using IoT devices and computer vision, integrated through M2M interactions and modeled with AnyLogic PLE. The key contribution is the combination of IoT and computer vision for real-time, adaptive traffic light control. The study highlights the practical value of M2M technology, facilitating seamless interaction between web camera-equipped traffic lights and personal computers, overcoming the complexity of traditional wired methods like Siemens microcontrollers. Using a socket library for communication between Windows and Linux-based Raspberry Pi, the system implements interactive Wi-Fi information exchange for video monitoring and real-time road situation recognition. These data inputs control traffic lights via computer vision, enabling automated, adaptive traffic management. The prototype demonstrates real-time animated simulation managed by a dispatcher, enhancing the efficiency of traffic systems. The integration of M2M, IoT, and computer vision marks a significant advancement in intelligent transportation systems.

关键词： M2M Interaction Client-Server Interaction IoT Traffic Light Raspberry Pi 4 YOLOv8n Neural Network AnyLogic PLE

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2023 21st International conference on Optical Communications and Networks, ICOCN 2023

2023 21st International Conference on Optical Communications...

引用

21st International conference on Optical Communications and Networks, ICOCN 2023

ISBN: (纸本)9798350343502

The proceedings contain 255 papers. The topics discussed include: high fidelity wristband pulse sensor based on fiber MZI structure;TFBG humidity sensor based on fullerene derivative for tachypnea monitor;adaptive beam control for optical inter-satellite communication systems;simulation and experiment of noise-like square pulses from a mode-locked erbium-doped fiber laser;design of hollow-core negative curvature fiber for the temperature sensing;sensitivity optimization of fiber sensor based on two FBGs using microwave photonic interrogation technology;congestion-aware adaptive arbitration for multipath routing in optical network-on-chip;classification of plastics by near infrared spectroscopy based on clustering algorithm;Nyquist pulse generation based on XPM time lens;first over 100-Gb/s PAM-8 IM/DD Fiber transmission system at 2-micron waveband enabled by advanced DSP;geometric and probabilistic shaping of 16/32-QAM based on swarm intelligence algorithm;and application of trellis-coded modulation in long-haul optical fiber transmissions.

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Design and Implementation of an IoT-Based Air Quality Monitoring system in the Jiu Valley using sensor Networks for Prediction and Anomaly Detection

Design and Implementation of an IoT-Based Air Quality Monito...

引用

International Carpathian control conference (ICCC)

作者： Nicoleta Negru Alexandra Soica Susana Apostu Doctoral School University of Petrosani Petrosani Romania Department of Mechanical Industrial and Transport Engineering University of Petrosani Petrosani Romania

ISBN: (数字)9798331501273

ISBN: (纸本)9798331501280

This paper presents the design and implementation of an IoT-based air quality monitoring system in the Jiu Valley, utilizing sensor networks to predict and detect anomalies in air pollution levels. The Jiu Valley, an industrial region with significant mining activities, faces challenges in air quality management and environmental monitoring. To address this, a distributed network of environmental sensors is proposed to measure key air quality parameters such as PM2.5, PM10, nitrogen dioxide (NO 2 ), carbon monoxide (CO), and sulfur dioxide (SO 2 ). These sensors are connected to a central platform via low-power wide-area network technologies, such as LoRaWAN, ensuring reliable data transmission even in remote areas. The system employs advanced data processing techniques, including machine learning algorithms for anomaly detection, and time-series prediction models to forecast air quality levels. Additionally, the system's data will be visualized through an interactive web interface, enabling real-time monitoring and alerts for residents and authorities. The research aims to contribute to a more effective environmental management framework in the Jiu Valley by leveraging IoT and sensor networks to provide actionable insights into air quality trends, allowing for timely interventions.

关键词： Machine learning algorithms LoRaWAN Predictive models Air quality Market research Real-time systems Coal mining Sulfur Nitrogen Anomaly detection

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Downlink Sensing in 5G-advanced and 6G: SIB1-assisted SSB Approach 97

Downlink Sensing in 5G-Advanced and 6G: SIB1-assisted SSB Ap...

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97th IEEE Vehicular Technology conference (VTC-Spring)

作者： Golzadeh, Moeinreza Tiirola, Esa Anttila, Lauri Talvitie, Jukka Hooli, Kari Tervo, Oskari Peruga, Ismael Hakola, Sami Valkama, Mikko Tampere Univ Tampere Finland Nokia Electr Ltd Oulu Finland

ISBN: (纸本)9798350311143

This paper investigates the potential to leverage existing 5G NR signals for network-side integrated sensing and communications (ISAC). In general, the synchronization signal block (SSB) is a suitable candidate for always-on downlink sensing, due to its frequent periodical availability and because of its beam-sweeping nature. However, as this work demonstrates, using only the SSB has challenges related to radar ambiguity while being also limited in both distance and velocity resolution due to limited bandwidth and per-beam time duration, respectively. A novel solution is then introduced by combining SSB with downlink control information (DCI) and system information block 1 (SIB1) symbols. The corresponding implications and variants how SIB1 is optimized and configured are discussed, covering both 5G evolution and potential 6G solutions. The performance of the proposed approach is also assessed through realistic numerical evaluations at both 3.5GHz and 28 GHz network deployments, and shown to yield up to 25 dB suppression in radar peak sidelobe level (PSL) compared to SSB-only based range-velocity profile. Also considerable improvements in the sensing resolution in the order of 120-190% are demonstrated.

关键词： 5G-advanced 6G integrated sensing and communications network as sensor OFDM radar radar ambiquity SIB1 SSB

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