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Wavelength detection of FBG temperature sensor based on deep neural networks

Wavelength detection of FBG temperature sensor based on deep...

引用

2021 International conference on Optical Instruments and Technology: Optical sensors and Applications

作者： Cao, Zihan Zhang, Shengqi Liu, Zhengyong Wu, Yichang Yang, Chengkun Li, Zhaohui Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems School of Electronics and Information Technology Sun Yat-Sen University Guangzhou510275 China Zhuhai519000 China

ISBN: (纸本)9781510655638

Fiber Bragg grating (FBG) sensor has been one of the main research objects in the field of optical sensing due to its advantages of compact size and capability of multiplexing and long-distance measurement. Since its central wavelength shift has a linear relationship with the measurand change, the typical demodulation method is to fit such relationship linearly or nonlinearly, and demodulate the measured parameter based on the change of Bragg wavelength. In this paper, particularly for an FBG temperature sensor, an effective sensing signal measurement method employing deep convolutional neural networks (DCNN) is proposed. This method can extract temperature automatically with a comparable and even more accurate precision. After training process of DCNN, the temperature information can be directly extracted from the experimentally obtained FBG spectra instead of tracking the peak. Since it makes full use of the spectral information rather than only the central wavelength, it overcomes the limit of traditional fitting method and can improve the measurement accuracy of FBG effectively, with an accuracy of 99.38% and mean error of 0.608. The proposed approach to demodulate the FBG sensors is experimentally verified by checking various spectra obtained at different temperatures, and superior accuracy could be achieved. It provides a cost-effective solution for multiplexing of FBG sensors, and is promising for establishing sensing networks to implement smart monitoring. © 2022 SPIE.

关键词： Demodulation

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Classification and Analysis of Modern Error Detection Techniques in WSN 2

Classification and Analysis of Modern Error Detection Techni...

引用

2nd International conference on Advances in Engineering Science and Technology, AEST 2022

作者： Fadheel, Fadil Raafat Neamah, Mustafa Abdulkadhim Midhat, Bashar Fatih Al-Nahrain University College of Information Engineering Baghdad Iraq University of Technology Dept. of Control and Systems Baghdad Iraq

ISBN: (纸本)9798350334906

Recent developments in the field of micro-electromechanical systems, digital wireless, and electronics telecommunications have paved the way to the development of low-cost, economical and low-volume sensors that can monitor the unprotected environment in the form of multi-tasking, and perform telecommunication operations. These small sensors, which can perform activities such as data processing, sensing, and transmitting information, are the core of the idea of wireless sensor networks. In this paper, the scientific contribution is the evaluation of different error detection methods, so as to identify a new classification for integrating new defects. This paper has suggested to make a subjective examination of the most recent mistake location calculations. From this examination, a selection of a rundown of procedures are assessed regarding the amount. A number of aspects are addressed in this work, including the advantages, shortcomings, and future research ways for distinguishing mistakes in remote sensor systems. © 2022 IEEE.

关键词： Wireless sensor networks

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High-value area coverage of mobile-static coupled sensing in the forest pests monitoring 19

High-value area coverage of mobile-static coupled sensing in...

引用

19th IEEE International conference on Networking, Sensing and Control, ICNSC 2022

作者： Cheng, Xu He, Bin Li, Gang Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Department of Control Science and Engineering Shanghai China

ISBN: (纸本)9781665472432

Forest pests seriously affect the health of forests. To address this problem, this paper mainly studies the coverage of wireless sensor networks in forest pest areas, in order to prevent further spread of pests. Firstly, the information distribution of pest monitoring area is characterized by using the sampling information of mobile wireless sensor networks and Gaussian estimation algorithm, and the density function expression model of pest monitoring area is proposed. Then, through the coupling relationship between static sensors and mobile sensing node, the attractive and repulsive potential fields in the pest monitoring area are deeply analyzed, and a coverage control strategy based on the improved potential field is proposed. Finally, through simulation, the experimental result shows that the proposed method can realize the collaborative coverage of high-value area of pest monitoring through the coupling of mobile sensing node and static sensors. © 2022 IEEE.

关键词： sensor nodes

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Design and Experimental of Human Tracking Control System Based on Infrared sensor

Design and Experimental of Human Tracking Control System Bas...

引用

IEEE information Technology, Networking, Electronic and Automation Control conference

作者： Cui Xiaoming Geng Yulong Kou Zhiwei Cao Xinyuan Qiao Yanjun College of Electric Power Inner Mongolia University of Technology Hohhot China Engineering Research Center of Large Energy Storage Technology Ministry of Education Hohhot China Inner Mongolia Key Laboratory of Electromechanical Control Hohhot China Northern Branch Beijing Energy International Holding Co. Ltd Hohhot China

ISBN: (数字)9798350370805

ISBN: (纸本)9798350370812

With the development of intelligent monitoring and automation technology, human tracking control systems are increasingly widely used in fields such as security monitoring, smart homes, and robot navigation. This paper proposes a design of a human tracking control system based on pyroelectric infrared (PIR) sensors and has conducted experimental verification. The system utilizes the high sensitivity of PIR sensors to infrared radiation, and achieves accurate tracking of human movement through signal processing and algorithm optimization. The experimental results show that the proposed system can effectively track human forms in different environments, and has high practicality and reliability.

关键词： Tracking Signal processing algorithms Signal processing Control systems Robot sensing systems Infrared sensors sensor systems Security Monitoring intelligent sensors

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Data Fusion for Human Activity Recognition Based on RF Sensing and IMU sensor 16th

Data Fusion for Human Activity Recognition Based on RF Sensi...

引用

16th European-Alliance-for-Innovation (EAI) International conference on Body Area networks (BodyNets)

作者： Yu, Zheqi Zahid, Adnan Taylor, William Abbas, Hasan Heidari, Hadi Imran, Muhammad A. Abbasi, Qammer H. Univ Glasgow James Watt Sch Engn Glasgow G12 8QQ Lanark Scotland Heriot Watt Univ Sch Engn & Phys Sci Edinburgh EH14 4AS Midlothian Scotland

ISBN: (纸本)9783030955939;9783030955922

This paper proposes a new data fusion method, which uses the designed construction matrix to fuse sensor and USRP data to realise Human Activity Recognition. At this point, Inertial Measurement Unit sensors and Universal Software-defined Radio Peripherals are used to collect human activities signals separately. In order to avoid the incompatibility problem with different collection devices, such as different sampling frequency caused inconsistency time axis. The Principal Component Analysis processing the fused data to dimension reduction without time that is performed to extract the time unrelated 5 x 5 feature matrix to represent corresponding activities. There are explores data fusion method between multiple devices and ensures accuracy without dropping. The technique can be extended to other types of hardware signal for data fusion.

关键词： Data fusion Human activity recognition Artificial intelligence Signal processing

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Security of Cloud-Assisted BANs Using Digital Twin 13

Security of Cloud-Assisted BANs Using Digital Twin

引用

13th International conference on information Technology in Asia, CITA 2023

作者： Sama, Najm Us Zen, Kartinah Ud Din, Aziz Azim, Nazia Ur Rahman, Atiq Universiti Malaysia Sarawak Faculty of Computer Science and Information Technology Sarawak Kota Samarahan94300 Malaysia University of Peshawar Shaikh Zayed Islamic Center Peshawar Pakistan Abdul Wali Khan University Mardan Pakistan Higher Colleges of Technology Faculty of Computer Information Science United Arab Emirates

ISBN: (纸本)9798350326208

Wireless sensor networks (WSNs) that monitor individuals' physical and medical conditions are called Body Area networks (BANs). This technology uses wireless sensors to monitor vital signs from the human body. In order to overcome processing and storage limitations, the BAN is often connected to the cloud. Wireless Body Area Network (WBAN), however, opens up the possibility of various security threats when using the cloud. The digital twin (DT) can provide users with hundreds of thousands of interpretations of the physical device without interfering with its normal functionality. It provides an accurate depiction of a cyberattack before time, which maximizes efficiency by reflecting and simulating the physical devices and their relationships with the environment. This paper proposes an integrated security framework for cloud-assisted BANs (CBANs), which will use DT to detect cyberattacks. By combining digital and physical models, cyber-physical security (CPS) can be optimized in advance at low risk and cost. The results of the study show that designing and evaluating techniques for the protection of CBAN using digital twin will help security experts to use an optimized solution without physical testing that will also save time and resources. © 2023 IEEE.

关键词： Wireless local area networks (WLAN)

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intelligent Heavy Truck Platooning with ISCC for Enclosed Intermodal Railway-Road Transport Parks

Intelligent Heavy Truck Platooning with ISCC for Enclosed In...

引用

Acoustics, Speech, and Signal processing Workshops (ICASSPW), IEEE International conference on

作者： Weibin Li Haifeng Zheng Jun Fang Xinxin Feng Chunyan Cheng College of Physics and Information Engineering Fuzhou University Fuzhou China Trolley Technology Group Co. Ltd. Shenzhen China

ISBN: (数字)9798350374513

ISBN: (纸本)9798350374520

This paper explores an intelligent heavy truck solution with integrated sensing, communication, computation, and control (ISCC), capabilities based on the "vehicle-energyroad-cloud" framework for enclosed intermodal railway-road transport parks. Enabled by communication-sensing convergence networks, the system achieves ubiquitous connectivity across Multi-Agent individual truck intelligence, vehicle coordination intelligence, edge computing, and cloud platforms. The multi-modal sensor fusion of vehicle-energyroad elements ensures comprehensive environmental cognition by combining truck-mounted devices, energy facilities, and roadside sensors. This allows collaborative decision-making through distributed in-vehicle and cloud-based analytics. Through intelligent dispatching, precise control commands guide trucks to safely and efficiently complete loading, weighing, vehicle interworking, and other intermodal transport tasks. This human-in-the-loop framework synergizes sensing, communication, computation, and control to fully unlock the potential of new energy heavy trucks, enhancing the safety, accuracy, and efficiency of freight haulage operations in complex enclosed parks.

关键词： Cloud computing Loading Collaboration Vehicular ad hoc networks Reinforcement learning Containers sensor fusion

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Security Issues in Blockchain Integrated WSN: Challenges and Concerns

Security Issues in Blockchain Integrated WSN: Challenges and...

引用

2022 International conference on Innovative Computing, intelligent Communication and Smart Electrical Systems, ICSES 2022

作者： Singh, Tejbir Vaid, Rohit Sharma, Avinash MM Engineering College Department of Computer Science & Engineering Haryana Ambala India

ISBN: (数字)9781665474139

ISBN: (纸本)9781665474139

In cutting edge era the foremost valuable information is 'Data', and WSN system has become one in all the integrated elements of our life. From smart phones to shrewd watches, there's tons of data creation in each and every moment and wireless sensors are one of the primary components of WSN framework. Wireless sensors are utilized in all the WSN systems in corporated gadgets like advanced mobile phones, watches, fitness tracker and so on., these sensors are easy to use and have numerous distinctive characteristics. WSNs are used for real time trailing and surveillance purposes, where the nodes collaborate with each other to pass and retrieve the information. However, there are chances of compromise of data, so security turns into a major issue in WSN. Blockchain is a secure database i.e., a ledger that monitors all transactions occurring. In this paper, an in-depth survey on blockchain integrated WSN is done and the security parameters are also dealt thoroughly. © 2022 IEEE.

关键词： Wireless sensor networks

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Design Method of intelligent Building Based on Internet of Things

Design Method of Intelligent Building Based on Internet of T...

引用

2022 International conference on Artificial Intelligence and intelligent information processing, AIIIP 2022

作者： He, Miao Chang, Chunxia CCCC Second Highway Consultants Co. Ltd. Hubei Wuhan430000 China

ISBN: (纸本)9781510660175

The Internet of Things technology has gradually become a new development field, and at the same time, it has shown great growth potential and has entered all fields of human life. This paper aims to explore IoT-based smart building design methods. We analyze domestic and foreign smart buildings and IoT technologies, and propose smart buildings suitable for the IoT era. Introduce the most advanced Internet-based smart technology capabilities that fully integrate the two components of wireless sensor networks and traditional infrastructure. Secondly, use the wireless sensor network software and built-in installation program to provide access to the received data information, and develop services such as historical data center, real-time data update, historical database export, historical data analysis, etc., to provide data for the next stage of data visualization. The system is functionally tested, and the experimental results show that 23℃ can be used as the comfortable temperature for the intelligent building system to automatically set in summer. Smart buildings based on IoT technology further improve our quality of life. © 2022 SPIE.

关键词： Internet of things

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Gait Feature Perception and Identity Recognition Under Visual-Tactile Dual Modality

Gait Feature Perception and Identity Recognition Under Visua...

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Communication, Image and Signal processing (CCISP), International conference on

作者： Huiyu Yang Fengqian Song Yangyang Zhang DataGrand Co. LTD. Shanghai China Internet Academy Anhui University Hefei China

ISBN: (数字)9798350356656

ISBN: (纸本)9798350356663

Gait recognition technology, as a key branch in the field of identity recognition, has significant value but also faces challenges such as discomfort from wearable devices, the need for synchronized processing of gait feature time series data, and susceptibility to environmental influences in image-based methods. A fusion method combining tactile and visual information is proposed to improve recognition effects when sensors or visual information are limited. Not only is a fusion gait dataset constructed, but identity recognition experiments are also conducted on flexible strain sensor data through Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) CNN-LSTM networks. The effectiveness of the visual-tactile fusion method in enhancing recognition accuracy is verified through decision-level fusion strategies.

关键词： Image sensors Visualization Image recognition Accuracy sensor fusion Capacitive sensors Convolutional neural networks Gait recognition Wearable sensors Long short term memory

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