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Wireless MESH network routing protocol based on link state information 基于链路状态信息的无线MESH网络路由协议
Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680196
E. Yang, Li Xi, Wei Sun
{"title":"Wireless MESH network routing protocol based on link state information","authors":"E. Yang, Li Xi, Wei Sun","doi":"10.1117/12.2680196","DOIUrl":"https://doi.org/10.1117/12.2680196","url":null,"abstract":"Based on the analysis of the classic routing protocol AODV, a link-state-information-based routing protocol MNLSI for wireless MESH networks is proposed to meet the requirements of flight test. The protocol calculates the path with the minimum cumulative weight from the source to the destination by link stability factor and node state information, and introduces packet definition, route discovery and route maintenance. Finally, the protocol is simulated and analyzed by Network Simulator 2. Simulation results show that MNLSI outperforms AODV in terms of packet forwarding rate and end-to-end delay.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"96 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120844441","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}
引用次数: 0
Image retrieval based on multimodality neural network and local sensitive hash 基于多模态神经网络和局部敏感哈希的图像检索
Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680159
Chen Chen
{"title":"Image retrieval based on multimodality neural network and local sensitive hash","authors":"Chen Chen","doi":"10.1117/12.2680159","DOIUrl":"https://doi.org/10.1117/12.2680159","url":null,"abstract":"With the rapid development of deep convolutional neural networks, the use of deep convolutional neural networks to extract features instead of manual features has become one of the current research hotspots. However, deep convolutional neural network can not understand image features well, and there is a “semantic gap”. Contrastive Language-Image PreTraining (CLIP) model is a pre-training neural network model based on matching image and text. Use the pre-trained CLIP model to extract the high-dimensional feature vector of the image data set to be retrieved, and the Local Sensitive Hash (LSH) algorithm was used to extract the retrieval speed to complete the retrieval task based on the image content and text. Experimental results show that compared with other content-based image retrieval algorithms, the proposed algorithm can also understand the text information in the image to complete the retrieval task, and has a wider retrieval range.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115079360","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}
引用次数: 0
Multi-channel dictionary learning speech enhancement based on power spectrum 基于功率谱的多通道字典学习语音增强
Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680516
Tongzheng Ni, Junfeng Wei, Jiarong Wu, Lanfang Zhang, Weidong Tang
{"title":"Multi-channel dictionary learning speech enhancement based on power spectrum","authors":"Tongzheng Ni, Junfeng Wei, Jiarong Wu, Lanfang Zhang, Weidong Tang","doi":"10.1117/12.2680516","DOIUrl":"https://doi.org/10.1117/12.2680516","url":null,"abstract":"Algorithms that model and estimate noise based on statistical properties, such as spectral subtraction, can estimate the distribution of stationary noise, but their performance degrades when suppressing non-stationary noise. Dictionary learning and sparse representation algorithms have made great achievements in solving non-stationary noise suppression. However, the multi-channel speech enhancement algorithm based on dictionary learning needs to manually estimate the parameters of spectrum reduction threshold in practice. In order to obtain optimized noise reduction results, the adaptive estimation of spectrum reduction threshold is of great significance. According to the power spectrum of the signal, the algorithm of spectral subtraction threshold is defined and the spectral subtraction threshold is used to optimize and enhance the quality of speech. The experimental comparison shows that the spectral reduction threshold calculated based on the power spectrum is closer to the optimal result compared with the fixed threshold. In the -10dB noise environment, the multichannel dictionary learning algorithm based on improved power spectrum improves the segmental signal-to-noise ratio by 1-2dB compared with spectral subtraction and non-negative matrix decomposition, and improves the perceived speech quality assessment and short-term intelligibility by an average of 2.3 and 0.11 points respectively. The experimental results show that the multi-channel dictionary learning algorithm based on the improved power spectrum can effectively remove additive noise under both unsteady and steady state noise conditions.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"12704 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129823934","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}
引用次数: 0
Research and application of attitude optimal estimation for quadrotor UAV 四旋翼无人机姿态最优估计研究与应用
Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680374
Qi Li, Qiong Hu, Jie Chen, Raja Rajeswari, S. Selvaperumal
{"title":"Research and application of attitude optimal estimation for quadrotor UAV","authors":"Qi Li, Qiong Hu, Jie Chen, Raja Rajeswari, S. Selvaperumal","doi":"10.1117/12.2680374","DOIUrl":"https://doi.org/10.1117/12.2680374","url":null,"abstract":"optimal estimation of the attitude, an attitude solution system based on low-cost IMU sensors is proposed. The system uses quadratic coordinate conversion to fuse the gyroscope, accelerometer, and magnetic compass data, and the attitude deviation is corrected by the PI controller, and the attitude information of the vehicle is solved by a complementary filtering algorithm. The experimental results show that the proposed algorithm not only effectively improves the accuracy of the attitude solution to meet the flight requirements of small UAV, but also suppresses the influence of random deviation of the attitude sensor and the noise of the three-axis acceleration measurement on the attitude solution, and achieves the requirement of accurate and reliable attitude data output for a long time.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128664334","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}
引用次数: 0
Joint estimation of SOC for lithium batteries based on DAREKF 基于DAREKF的锂电池荷电状态联合估计
Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680030
Kun-ye Zhou, Chunyang Zhang, Jiaqi He
{"title":"Joint estimation of SOC for lithium batteries based on DAREKF","authors":"Kun-ye Zhou, Chunyang Zhang, Jiaqi He","doi":"10.1117/12.2680030","DOIUrl":"https://doi.org/10.1117/12.2680030","url":null,"abstract":"The power source of electric vehicle is lithium-ion battery. Due to the influence of aging degree, the driver's estimation error of lithium-ion battery power is caused, so it is very practical to accurately estimate its state of charge. In order to solve the problems of Gaussian white noise and poor robustness of adaptive extended Kalman filter algorithm, this paper adopts double adaptive robust extended Kalman filter algorithm for online joint estimation of model parameters and SOC. The simulation results show that, compared with AEKF estimation, the maximum absolute error, mean absolute error and root mean square error of battery state estimation can be reduced by 1.14%, 0.49% and 0.62% respectively.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133783576","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}
引用次数: 1
Chaotic adaptive particle swarm algorithm based on tent mapping for multi-objective optimization of combined cooling, heating, and power source-store-load systems 基于帐篷映射的混沌自适应粒子群算法用于冷、热、电、蓄电联合系统的多目标优化
Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680521
Zheming Xu, Changbin Hu
{"title":"Chaotic adaptive particle swarm algorithm based on tent mapping for multi-objective optimization of combined cooling, heating, and power source-store-load systems","authors":"Zheming Xu, Changbin Hu","doi":"10.1117/12.2680521","DOIUrl":"https://doi.org/10.1117/12.2680521","url":null,"abstract":"With the proposal and implementation of the \"double carbon\" goal in China, it is necessary to further improve the dynamic energy efficiency of the operation process of combined cooling, heating and power (CCHP) units to maximize the economic efficiency of the system. In this paper, the optimization algorithm based on the combination of chaos search of Tent map and nonlinear adaptive particle swarm optimization combines the schedulable resources of energy production, energy storage and energy consumption into a CCHP \"source storage\" system, which can simultaneously meet the power, heat and cooling needs of the user side. Taking the operation cost and pollutant emission of CCHP system as the objective, a multi-objective optimization model is established. Under the constraint conditions of equipment output, power balance and so on, the equipment operation hourly output with the best economic and environmental benefits is obtained. The calculation results show that the CCHP \"source storage and load\" system reduces the operation and maintenance costs by 22.31%, and carries out the economic and environmental advantages.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133262776","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}
引用次数: 0
Design and implementation of dormitory security system based on CC2530 基于CC2530的宿舍保安系统的设计与实现
Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680227
Zhi Qi, Zhijun Liu, Hui Yang, Aibo Guan
{"title":"Design and implementation of dormitory security system based on CC2530","authors":"Zhi Qi, Zhijun Liu, Hui Yang, Aibo Guan","doi":"10.1117/12.2680227","DOIUrl":"https://doi.org/10.1117/12.2680227","url":null,"abstract":"The safety of student dormitory has always been the most important issue of university management，Traditional dormitory security has always been done by administrator, This paper designs a dormitory security management alarm system based on wireless transmission chip CC2530，This design detects the concentration of combustible gas in the dormitory through MQ2 smoke sensor，The RE200B sensor can detect whether anyone enter through the window, Call for help through the SOS button, he above data is transmitted to the management center through the wireless communication module for display and alarm.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127314215","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}
引用次数: 0
Multi-AGV scheduling in automated container terminal based on improved whale optimization algorithm 基于改进鲸鱼优化算法的自动化集装箱码头多agv调度
Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680041
Yutong Zhong, P. Lou
{"title":"Multi-AGV scheduling in automated container terminal based on improved whale optimization algorithm","authors":"Yutong Zhong, P. Lou","doi":"10.1117/12.2680041","DOIUrl":"https://doi.org/10.1117/12.2680041","url":null,"abstract":"Due to increasingly serious environmental issues, there are growing concerns about the environmental impact of automated container terminals (ACTs). Therefore, the ACT needs to strike a balance between effectiveness and environmental sustainability. AGV scheduling is a vital issue that plays an important role in the efficiency improvement and energy conservation of ACTs. This study examines the AGV scheduling issue in ACTs while taking energy usage and AGV efficiency into account. First, a multi-objective mixed integer programming model with the goals of energy consumption and makespan is built. Then, an improved whale optimization algorithm (IWOA) is proposed to solve this problem, in which task combination and adaptive parameter adjustment strategies are presented to enhance the algorithm. Finally, case study examples are conducted to verify the effectiveness of the proposed method.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129676950","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}
引用次数: 0
Research and design of microgrid system structure based on multi-energy complementary power generation in rural areas 基于多能互补发电的农村微电网系统结构研究与设计
Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680454
Yonghui Xie, Marcelino Agnawa, Xujie Hou
{"title":"Research and design of microgrid system structure based on multi-energy complementary power generation in rural areas","authors":"Yonghui Xie, Marcelino Agnawa, Xujie Hou","doi":"10.1117/12.2680454","DOIUrl":"https://doi.org/10.1117/12.2680454","url":null,"abstract":"With the development of China's power industry entering a critical period of mode transformation, structure adjustment and power change, the state pays more and more attention to the promotion of new energy microgrid.The development and utilization of abundant wind, hydropower, solar and biomass energy resources in rural areas is an effective way to solve the problem of rapid increase in power consumption in rural areas and power supply in remote mountainous areas.This project analyzes the complementarity of the four renewable energy combined power generation in many aspects, and proposes a new rural \"scenery aquatic\" multi energy complementary power generation microgrid power supply system.The rural micro grid structure model of the small hydropower and solar photovoltaic power generation system with water storage reservoir is designed, and the scheduling strategies of the two operation modes of the micro grid island and grid connection are analyzed.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129854184","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}
引用次数: 0
Unpaired strong-light image augmentation network with illumination curve 具有光照曲线的非成对强光图像增强网络
Symposium on Advances in Electrical, Electronics and Computer Engineering Pub Date : 2023-05-31 DOI: 10.1117/12.2680099
Fengyu Yang
{"title":"Unpaired strong-light image augmentation network with illumination curve","authors":"Fengyu Yang","doi":"10.1117/12.2680099","DOIUrl":"https://doi.org/10.1117/12.2680099","url":null,"abstract":"Images are a way for humans to get information, and they are ubiquitous in our daily lives. Compared to other media, we tend to get information through images. Most current image enhancement methods are based on Retinex theory. However, this method can easily lead to the loss of image information. More importantly, the theory is based on the assumption that light changes smoothly. And this assumption is very unfriendly to bright images. To solve this problem, an unpaired enhancement network for strong light image is proposed. The network consists of illumination curve, illumination loss function and illumination attenuation network. Experiments show that our network can obviously improve the image contrast caused by strong light environment, and significantly improve the quality of strong light image.","PeriodicalId":201466,"journal":{"name":"Symposium on Advances in Electrical, Electronics and Computer Engineering","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121673616","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}
引用次数: 0
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