{"title":"Research on stress sensing demodulation technology and device of FBG","authors":"Zhongkui Li, Qingfeng Rong","doi":"10.1117/12.2685786","DOIUrl":"https://doi.org/10.1117/12.2685786","url":null,"abstract":"Since fiber Bragg grating has good reliability, stability, anti-interference and intrinsic safety, which is very suitable for the application of coal mine gas environment, a fiber Bragg grating stress sensing monitoring system based on metal bolt in coal mine is developed. This paper focuses on the design and research of the core equipment of the system, grating stress sensing demodulation device. Through the study of strain measurement principle of FBG and the study of demodulation technology of tunable F-P filter, through the design of hardware circuit and software program of demodulation device, the special stress demodulation device of fiber Bragg grating bolt is developed. Finally, the accuracy and practicability of the demodulation device are verified by the actual experimental test of fiber Bragg grating stress sensor.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114635717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fault diagnosis method of civil aircraft air conditioning cooling system based on WPA-BP neural network","authors":"Xinghao Zhang, Jiaxue Liu","doi":"10.1117/12.2685828","DOIUrl":"https://doi.org/10.1117/12.2685828","url":null,"abstract":"Combined with the current problems in the maintenance of civil air conditioning system, in order to improve the efficiency of civil fault diagnosis and reduce the troubleshooting time, a fault diagnosis method based on Wolf pack algorithm was proposed to optimize BP neural network. The experimental results show that compared with the standard BP neural network, WPA-BP algorithm can effectively shorten the training time, improve the accuracy of fault diagnosis, and has practical application value.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123821733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design of tri-band microstrip antenna with shared aperture on flexible single-layer","authors":"Fei Wu, Yaqi Ma, Yishen Xu, Yan Ye","doi":"10.1117/12.2685541","DOIUrl":"https://doi.org/10.1117/12.2685541","url":null,"abstract":"To get multi-band antenna with reduced system load, we propose tri-band antennas utilizing shared aperture array which works in S-band, X-band and Ku-band, where three kinds of series-corporate microstrip antennas are interlaced on the flexible substrate. With the orthogonal polarization, layout of antenna arrays is optimized to ensure high channel isolation of antenna arrays’ different ports. The simulated results show the designed antennas having gain of 10.8 dBi, 11.8 dBi and 17.6 dBi respectively for S-band, X-band and Ku-band incidence. The side-lobe level (SLL) for S-band is -23.5 dB with return loss bandwidth of 50 MHz, while Ku-band antenna is -18 dB with bandwidth of 600 MHz respectively. And the bandwidth of circular polarization axial ratio (AR) less than 3 dB is around 1.1% for X-band. The isolation is better than - 40 dB among different ports of all arrays. Furthermore, the designed antennas can be flexibly covered on curved cylinder surface, maximum radiation gain is 2.4dBi, which is better than that of flat when the bending radius is 600mm for S-band. The proposed flexible microstrip antenna can be applied for conformal antennas, which shows great potential for flexible electronic device.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121457779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Yin-yang pair algorithm based on cubic chaos and lens imaging learning","authors":"Shuzhi Li, Junbin Wang, X. Deng","doi":"10.1117/12.2685472","DOIUrl":"https://doi.org/10.1117/12.2685472","url":null,"abstract":"In order to solve the problem that the Yin-Yang Pair Algorithm (YYPO) tends to converge prematurely and has low convergence accuracy, a Yin-Yang Pair Optimization Algorithm (CYYPO) that combines Cubic chaotic mapping and lens imaging learning strategies is proposed. The algorithm uses Cubic chaotic mapping to initialize the two points of yin and yang, and uses the strategy of lens imaging learning method to design a new forward and reverse search segmentation method, which is tested by CEC2013 standard test function, and the results show that compared with the most basic YYPO and other five intelligent optimization algorithms, CYYPO has higher computational accuracy and more outstanding performance advantages.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122149658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A non-data-aided error vector magnitude adaptive algorithm in fading channels","authors":"Yiwen Gao, Yong Lin, Junjie Guo, P. Deng, Mingsong Liu, JunHui Yu","doi":"10.1117/12.2685763","DOIUrl":"https://doi.org/10.1117/12.2685763","url":null,"abstract":"In order to meet the ever-increasing requirements of spectrum efficiency in mobile communications, an adaptive modulation algorithm (NDA-EVM-AM) using non-data-aided error vector magnitude to evaluate channel quality is proposed in this paper. The algorithm dynamically allocates the statistical length of NDA-EVM according to the coherence time of the fading channel. Under the limitation of constant transmit power, the maximum modulation order suitable for the current channel is obtained from the calculated EVM value. The NDA-EVM statistical length of the channel in the algorithm of this paper can be dynamically changed according to the channel fading characteristics, and the EVM value can reflect the channel change in real time; in addition, according to the derived EVM analytical formula in the fading channel, it can predict the transmission of data with any modulation order in the current channel environment High performance, accurately select the maximum modulation order suitable for the current channel, and reduce the number of adjustments of the modulation order. Both theoretical analysis and simulation show that: compared with the traditional adaptive modulation algorithm based on signal-to-noise ratio (SNR-AM), the algorithm in this paper has better performance in terms of modulation order selection, channel fading speed and channel coherence time change speed. So there is also a higher spectrum efficiency.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117152510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of small sample algorithm and meteorological disaster early warning in power grid","authors":"Xiang Chen","doi":"10.1117/12.2685703","DOIUrl":"https://doi.org/10.1117/12.2685703","url":null,"abstract":"Meteorological disaster early warning has the characteristics of many construction contents, wide coverage, high complexity, and large workload and high difficulty in project construction In this paper, metrological disaster early warning technology and small sample algorithm are introduced to improve the accuracy of metrological disaster early warning, and solve the problems that the existing system can only generalize the prediction, has high false alarm rate and low work efficiency This paper first studies the method of building metrological disaster early warning and metrological disaster early warning, then designs demand analysis and comparative application based on metrological disaster early warning and small sample algorithm, And finally analyzes the effect of comparison between meteorological disaster early warning analysis and small sample algorithm through example comparison The metrological disaster early warning technology and small sample algorithm solve the problem that the current system cannot compare the construction content The results of the example show that the analysis speed of the existing early warning system is obviously better than the current metrological early warning system, and the comparison accuracy of the small sample algorithm is more than 1.13% higher than that of the single similarity algorithm.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"338 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115159571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xicong Wang, Hongxiang Li, Changjun He, Mingjiang Wang
{"title":"A high order temperature compensated band gap reference source based on depletion mode transistor","authors":"Xicong Wang, Hongxiang Li, Changjun He, Mingjiang Wang","doi":"10.1117/12.2685520","DOIUrl":"https://doi.org/10.1117/12.2685520","url":null,"abstract":"With the iterative upgrade of electronic products, high precision band gap reference source is becoming the core of its development. Temperature compensation technology is the most important to design a high precision band gap reference source. In recent years, new high order temperature compensation technologies have been proposed. For example, segmental compensation technology, curvature compensation technology, and subthreshold compensation technology are common compensation means. In this paper, a new compensation method is proposed which is to generate the compensating current through the self-opening characteristic of the depletion-mode transistors. It can obtain a band gap reference source with high order compensation. The temperature coefficient can be as low as 3.3ppm/°C in the range of -40°C to 85°C.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123089254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jing Yang, Yulu Yang, Han Xu, Jing Hu, Tiecheng Song
{"title":"Unmanned aerial vehicle trajectory design in wireless sensor networks: a deep reinforcement learning method","authors":"Jing Yang, Yulu Yang, Han Xu, Jing Hu, Tiecheng Song","doi":"10.1117/12.2685727","DOIUrl":"https://doi.org/10.1117/12.2685727","url":null,"abstract":"Unmanned Aerial Vehicle (UAV)-powered Wireless Sensor Networks (WSNs) are considered to be a promising solution to the problem of the limited power of the Sensor Nodes (SNs). In this paper, we introduce a UAV-powered WSN system, where multi-UAVs undertake the role of remote charging stations. To optimize the overall power efficiency, we design the collaborative trajectories of the UAVs. In order to solve the problem of trajectory planning, we first model the service process as a Markov decision process (MDP), and then propose a Multi-Agent Deep Reinforcement Learning (MADRL) based algorithm named Modified Multi-agent Deep Deterministic Policy Gradient (M2DDPG), which is learned centrally and executed discretely. The simulation has demonstrated the validity, efficacy, and superior performance of the proposed M2DDPG algorithm compared to the baseline algorithm.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123307716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Qi, H. Zhao, Hong Wang, W. Quan, Min Chang, Minna Ge, Yong-hua Yang, Kunpeng Li, xiaofang lin
{"title":"Research on circuits detection system based on reverse simulation","authors":"S. Qi, H. Zhao, Hong Wang, W. Quan, Min Chang, Minna Ge, Yong-hua Yang, Kunpeng Li, xiaofang lin","doi":"10.1117/12.2686107","DOIUrl":"https://doi.org/10.1117/12.2686107","url":null,"abstract":"The emergence of large and complex electronic equipment makes people more eager to improve its overall reliability and maintainability. For this reason, a comprehensive circuit detection system based on reverse simulation is designed in this paper. In this paper, according to the actual needs of the control circuit detection, the designed circuit detection system can simulate the sensor parameters needed in the testing process of the tested circuit board, effectively simulate the actual working conditions, and get rid of the dependence on physical sensor detection. The system can effectively solve the problem of ex-factory inspection of the control circuit board system, and is used for the maintenance and improvement of the circuit board to be tested. it is of great significance to save the cost, reduce the workload and improve the qualified rate of the products leaving the factory.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123627228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Lightweight object tracking algorithm based on sparse attention","authors":"Chunlei Wang, Jianlin Zhang, Yuxing Wei","doi":"10.1117/12.2685726","DOIUrl":"https://doi.org/10.1117/12.2685726","url":null,"abstract":"In recent years, with the widespread application of Transformer in computer vision, Transformer-based object tracking algorithms have made some progress in terms of accuracy. However, the large computation, high resource consumption, and slow inference speed of these algorithms severely limit their practical applications. Specifically, these algorithms struggle to meet the real-time tracking demands of resource-limited scenarios such as mobile devices and drones. Therefore, this paper proposes a pure Siamese-based, lightweight object tracking algorithm based on sparse attention. The proposed algorithm significantly improves tracking speed without significantly sacrificing tracking accuracy, making it suitable for practical resource-limited scenarios while still achieving good tracking performance. The proposed algorithm achieves a success rate of 76.3% and a normalized precision of 82.1% on the TrackingNet dataset, at the same time, it achieves a high inference speed of more than 100FPS, which exceeds the mainstream algorithm.","PeriodicalId":305812,"journal":{"name":"International Conference on Electronic Information Technology","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129071569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}