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Protall (An intelligent, multi-sensor, comprehensive obstacle avoidance system for automobiles and UAVs) 1

Protall (An Intelligent, multi-sensor, comprehensive obstacl...

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1st International conference on Artificial Intelligence, Computational Electronics and Communication System, AICECS 2021

作者： Dhelia, Manav Chaughule, Saurabh Choraria, Amit Hariharan, Arjun Manohara Pai, M.M. Department of Electronics and Communication Engineering Manipal Institute of Technology Manipal India Department of Mechanical Engineering Manipal Institute of Technology Manipal India Department of Electronics and Instrumentation Engineering Manipal Institute of Technology Manipal India Department of Information and Communication Technology Manipal Institute of Technology Manipal India

In this era of Artificial Intelligence and Automation, manufacturing and testing of self-driving cars and autonomous delivery of parcels to the desired location with the help of UAVs have a considerable amount of growth in the industry. This advancement in technology also raises safety issues due to the failure of sensors to detect the object or sometimes because of the dynamic environment. Protall (Protect-all) is an integrated solution for UAV and automobile vehicles to provide ultimate safety to both itself and its surroundings. With the strategic sensor integration and its intelligent processing, it aims to produce controlled output and hence, ensures to prevent any possible failures from occurring. The system constantly reacts to the environment and maintains comprehensive interaction with the user thus, enabling it to handle any dynamic situation and hence, it emerges as an optimal solution for Vehicles and UAVs. © 2022 Institute of Physics Publishing. All rights reserved.

关键词： Automobiles

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LoRaWAN and Biosensor-Assisted Smart City Framework to Mitigate the Effects of Lung Diseases

LoRaWAN and Biosensor-Assisted Smart City Framework to Mitig...

引用

Modeling, Simulation & intelligent Computing (MoSICom), International conference on

作者： K M Abubeker Michaelraj Kingston Roberts C Prajitha S Rinesh A Shafeena Karim S. Jeevanandham Department of Electronics and Communication Engineering Amal Jyothi College of Engineering (Autonomous) Kerala India Department of Electronics and Communication Engineering Centre for Advances in Signal Processing and Wireless Sensor Networks Sri Eshwar College of Engineering Coimbatore India Department of Electronics and Communication Engineering Centre for Interdisciplinary Research Karpagam Academy of Higher Education Coimbatore India Department of Computer Science and Engineering V.S.B College of Engineering Technical Campus Coimbatore India Department of Information Technology Sri Ramakrishna Engineering College Coimbatore India

ISBN: (数字)9798331533311

ISBN: (纸本)9798331533328

Urbanization and industrialization in cities present substantial obstacles to air quality, resulting in detrimental effects on public health, including respiratory health. This research introduces an Internet of Things (IoT) framework for a smart city environment using LoRaWAN and sensor networks. The framework utilizes the ESP32 LoRaWAN module to provide real-time monitoring of essential air quality metrics, such as carbon monoxide (CO), nitrogen dioxide (NO2), ozone (O3), temperature, and humidity. Integrating biosensors enhances accuracy by identifying distinct biological indicators linked to respiratory well-being. The proposed work aims to use the framework in an urban setting within a global context, demonstrating its capacity to reduce the effects of lung disorders. The ESP32 LoRaWAN module enables effective communication within the sensor network up to 20 kilometers, guaranteeing a robust and adaptable solution for smart city applications. The developed framework provides a scalable and novel method for developing healthier and more sustainable cities, decreasing respiratory disorders as urban settings develop.

关键词： Temperature sensors Smart cities Pulmonary diseases LoRaWAN Air quality Real-time systems Biosensors Internet of Things Public healthcare Organic compounds

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A CNN-based Fog Node Data processing Method and Application inWearable Heart Detection Equipment 22

A CNN-based Fog Node Data Processing Method and Application ...

引用

6th International conference on Control Engineering and Artificial Intelligence, CCEAI 2022

作者： Wu, Hailiang Kang, Yuyun Wang, Baiyang Huo, Dongyue Chen, Dongping School of Logistics Linyi University China School of Mechanical Engineering Shandong University China School of Information Science and Engineering Linyi University China

ISBN: (纸本)9781450385916

With the amount increase of sensors and collection data, a large number of low-value data will be directly uploaded to the cloud server without screening in the application process of the Internet of Things, which will waste a lot of network resources. This paper proposes an intelligent processing method of Internet of Things data based on fog computing. Firstly, fog nodes are introduced into the sensor network in the edge of the Internet of Things, and then deep neural network is used as the data processing method in the fog nodes to conduct preliminary classification and screening of the sensor data collected in the edge network. Finally, the processed data is sent to the cloud according to the demand. By comparison, using fog nodes to screen data can greatly reduce the amount of data transmission and meet the needs of data analysis, which is conducive to reducing the cost of the Internet of Things. © 2022 ACM.

关键词： Fog

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Automatic Fuzzy Assessment of Hand Motor Function based on Multimode information

Automatic Fuzzy Assessment of Hand Motor Function based on M...

引用

6th International conference on intelligent Computing and Signal processing (ICSP)

作者： Jing Bai Industrial Technology Research Institute of Intelligent Equipment Nanjing Institute of Technology Nanjing China

ISBN: (数字)9798350376548

ISBN: (纸本)9798350376555

The difficulty of hand function recovery in hemiplegic patients seriously affects daily life, and reliable rehabilitation training is needed. The premise of rehabilitation training is scientific and reasonable evaluation. The existing assessment methods depend entirely on the rehabilitation physicians, which are subjective, time-consuming and laborious. This paper develops an automated assessment system based on motion and distributed force measurement, combined with clinical Fugl-Meyer assessment. The array distributed flexible thin film pressure sensor attached to a gripping tool, Leap motion and virtual environment constitute an evaluation system to measure the attitude, motion and dynamics information of the hand. The joint range of motion, average velocity, peak velocity and distribution force are extracted as feature information, and input into their respective integrated fuzzy classifiers to classify the hand movement function, and finally the total evaluation score is obtained. Seven subjects were recruited for the experiment. The experimental score and the physician's score were compared with Bland-Altman method, the results showed that there were no data points outside the 95% consistency limit, so the two scores were consistent. The proposed method can be used to automatically evaluate hand motor function without physician supervision.

关键词： Training Pressure sensors Force Virtual environments Medical services Signal processing Motors Feature extraction Reliability sensor arrays

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Self-Organized sensor Eggs for Decentralized Localization and Sensing on Vulcano Island – A Glimpse into Future Space Exploration with Swarms

Self-Organized Sensor Eggs for Decentralized Localization an...

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International conference on information Fusion

作者： Fabio Broghammer Thomas Wiedemann Siwei Zhang Armin Dammann Christian Gentner Petar Djuric Institute of Communications and Navigation German Aerospace Center (DLR) Germany Perception for Intelligent Systems Munich Institute of Robotics and Machine Intelligence TU Munich Germany Department of Electrical and Computer Engineering Stony Brook University USA

ISBN: (数字)9781737749769

ISBN: (纸本)9798350371420

Robotic swarms or portable sensor networks are emerging technologies for sensing physical processes that are spatially distributed- and temporally dynamic, both on Earth and in future Moon/Mars exploration missions. We develop a portable network composed of a multitude of self-organized “sensor eggs”. These eggs are equipped with ultra-wideband (UWB) transceivers, providing precise time and position information without additional infrastructures like Global Navigation Satellite Systems (GNSSs). Each egg is additionally equipped with environmental sensors, for example, a Sulfur dioxide gas sensor to explore volcanic activity. We use a real time decentralized particle filter (DPF) to estimate the a-posteriori probability density functions (PDFs) of the egg positions. These PDFs are then used in a static state binary Bayes filter for estimating the gas sources with potentially complex structures such as cracks on the volcano surface. The proposed sensor network is verified with an in-field experiment at La Fossa volcano on the island of Vulcano, Italy, in 2023.

关键词： Location awareness Volcanic activity Probability density function Robot sensing systems Particle filters Transceivers sensors Timing Surface cracks Ultra wideband technology

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Research and Development of Wireless sensor Network Detection Software

Research and Development of Wireless Sensor Network Detectio...

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Signal processing and intelligent Computing (SPIC), International conference on

作者： Yue Zhou Siming Huang Hong Wang Xiaotong Zhou Shenyang Ligong University Shenyang China New South Wales University Sydney Australia

ISBN: (数字)9798350368888

ISBN: (纸本)9798350368895

This paper investigates the technology of sensor network node parameter monitoring software and designs a complete monitoring software solution in conjunction with a specific application scenario of greenhouse monitoring. The communication data verification algorithm is thoroughly studied in this study, and the discussion and research on the nonlinear calibration algorithm of sensor parameters in data processing are conducted. The CRC cyclic redundancy algorithm and the least squares method are employed in the subsequent software design for relevant data *** real-time monitoring system is based on sensor network technology, integrating measurement and control to achieve remote monitoring. The system formats the data and uploads it to the host computer via COM serial communication according to the set transmission mode and communication protocol. Upon receiving a series of data packets, the system analyzes the data, dynamically displays it in real-time, issues normal or alarm messages, and notifies the system through different means. The software of this system demonstrates good operational performance, meeting the basic requirements of the application scenario. It possesses excellent monitoring real-time capability, openness, and compatibility, providing comprehensive information and decision support for sensor network node parameter monitoring.

关键词： Wireless sensor networks Software design Software algorithms Signal processing algorithms Termination of employment Software Real-time systems Calibration Software measurement Monitoring

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Advanced Flood Management and Rescue Strategies to Securing Lives from Flood Risks

Advanced Flood Management and Rescue Strategies to Securing ...

引用

International conference on ent Computing and Control Systems (ICICCS)

作者： Manoranjitham E Kavin V Prasand S Praveen Kumar B Saravanan R Department of Electronics and Telecommunication Karpagam College of Engineering Coimbatore Tamilnadu India

ISBN: (数字)9798331512088

ISBN: (纸本)9798331512095

Both the locating of flood victims and the provision of continuous alarm information to the Disaster Rescue Force are accomplished by the Flood alarm and Rescue System. Additionally, it shows where the individuals who are trapped in the water are. Afterwards, a flood alarm system might be activated to notify the public. Contrarily, in an emergency, the Rescue System will direct the rescue workers to the people who need them. The individuals in need will activate the rescue operation by pressing the button that the government has given them. The "rescue team will use the signal processing device to receive and decode the encoded communication signal that it emits". Because of this, they will be able to find the individual far more quickly than was previously achievable with the technology at their disposal. This is the case since the top goals of the rescuing force are determined by our system. Our prototype is built with the idea that individuals may simply incorporate the gadget into their daily tasks when floods are in the area. The inclusion of a torch in our product ensures its continued viability and makes it suitable for usage in low-light situations, such as during floods.

关键词： Temperature sensors Wireless sensor networks Force Prototypes Pressing Signal processing Control systems Real-time systems Floods Testing

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A Wireless sensor Network-Based Testbed for Characterizing the Dispersion of Total Volatile Organic Compounds in an Enclosed Space

A Wireless Sensor Network-Based Testbed for Characterizing t...

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Omni-layer intelligent Systems (COINS), International conference on

作者： Neil Astrologo Ren Paulo Estaquio Sarah Montecillo Heinrich Gasacao Aldon Cris Galido John Jairus Eslit Percival Magpantay Marc Rosales Julius Rhoan Lustro Joseph Gerard Reyes John Richard Hizon UP Center for Air Research in Urban Environments Quezon City Philippines

ISBN: (数字)9798350349597

ISBN: (纸本)9798350349603

An indoor air quality monitoring system can provide information about the air quality in enclosed spaces such as offices, and potentially prevent occupants from suffering illnesses due to staying in enclosed spaces, more commonly known as Sick Building Syndrome (SBS). Experiments were conducted to characterize the spread of Total Volatile Organic Compounds (TVOC) in a room, using ESP32-based sensor nodes were equipped with SGP30 and CCS811 TVOC sensors. This setup was used as a testbed to monitor pollutant concentrations at different points in 3D space. Discrepancies in the measurements between points showed that airflow has a large effect in reducing pollutant concentrations.

关键词： Volatile organic compounds Wireless communication Wireless sensor networks Three-dimensional displays Buildings Pollution measurement intelligent systems

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Research on multi-node gait information acquisition system and time synchronization based on BLE

Research on multi-node gait information acquisition system a...

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Robotics, intelligent Control and Artificial Intelligence (RICAI), International conference on

作者： Yuqi Gao Chao Yu Xu Zhou Junjie Liu Zhiming Yao Ning Lin Institute of Intelligent Machines Hefei Institutes of Physical Science Chinese Academy of Sciences University of Science and Technology of China Hefei China Chinese Academy of Sciences Hefei Institutes of Physical Science Hefei China Department of Neurosurgery The First People's Hospital of Chuzhou The Affliated Chuzhou Hospital of Anhui Medical University Chuzhou China

ISBN: (数字)9798331541699

ISBN: (纸本)9798331541705

Gait information is critical in various domains. However, achieving accurate time synchronization across multiple sensor nodes in wireless systems remains a challenge, particularly in gait information acquisition, where precise data alignment is essential. Current solutions are limited by high power consumption, system complexity, and transmission instability. This study proposes a multi-node gait information acquisition system incorporating a six-axis inertial sensor and a plantar pressure sensor, with the ESP32 serving as the core processing unit. The system utilizes the low-power Bluetooth protocol for real-time data transmission. To address the issue of time desynchronization, we introduce an average error-based time synchronization algorithm. The algorithm was tested in an experimental setup using a signal generator, two gait systems, and a mobile device. The results demonstrate that the average error method effectively estimates and corrects frequency drift, significantly reducing time synchronization errors. The system offers a low-power, high-precision solution for multi-node gait information acquisition, advancing the accuracy of gait data fusion and analysis.

关键词： Pressure sensors Time-frequency analysis Power demand Inertial sensors Signal generators Mobile handsets Frequency estimation Synchronization Data communication Frequency synchronization

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Channel-Aware Direct Localization Using One-Bit Quantized Measurements

Channel-Aware Direct Localization Using One-Bit Quantized Me...

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European Signal processing conference (EUSIPCO)

作者： Guoxin Zhang Yunfei Liang Wei Yi Hien Quoc Ngo Michail Matthaiou Pramod K. Varshney School of Information and Communication Engineering University of Electronic Science and Technology of China P. R. China Centre for Wireless Innovation (CWI) Queen's University Belfast U.K Department of Electrical Engineering and Computer Science Syracuse University USA

ISBN: (数字)9789464593617

ISBN: (纸本)9798331519773

To address the constraints of limited transmission bandwidth and power consumption in wireless sensor networks (WSNs), this paper proposes a direct localization method using one-bit quantized measurements. Specifically, the received signal is quantized into its one bit version at the local sensor before being transmitted to the fusion center (FC) for target localization. Recognizing the imperfections of the wireless channel between the sensors and the FC, a channel-aware position estimator using one-bit quantized measurements is proposed. Furthermore, the Cramér-Rao lower bound (CRLB) of the proposed channel-aware estimator is also derived to theoretically assess the localization performance. Simulation results demonstrate that the proposed channel-aware position estimator approaches its theoretical performance bounds and is superior compared to that of the channel-unaware estimator.

关键词： Location awareness Wireless communication Wireless sensor networks Quantization (signal) Power measurement Power demand Simulation Channel estimation Robustness sensors

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