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2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)最新文献

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Light Weight Passive Human Motion Detection with WiFi 轻型被动人体运动检测与WiFi
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408952
Xu Wang, Linghua Zhang
{"title":"Light Weight Passive Human Motion Detection with WiFi","authors":"Xu Wang, Linghua Zhang","doi":"10.1109/ICSP51882.2021.9408952","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408952","url":null,"abstract":"WiFi-based passive human motion detection has attracted extensive attention due to its primary and fundamental function to boost applications in practice. Compared with traditional Receive Signal Strength Indicator, Channel State Information contains more fine grained information in the form of subcarrier. Most previous works focus on the joint indicators or complicated algorithm for better system performance, and treat all the subcarriers nondiscriminatory. However, the subcarrier suffer different effects in complex indoor environment, the undifferentiated approach might increase the complexity of the system and reduce the accuracy. To this content, we propose a light weight and effective human motion detection system from a novel perspective of sensitivity and similarity based subcarrier selection. The experiment results of an open dataset and real scenarios indicate that the proposed system is accurate and robust.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129935103","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
Wideband FM Anti-jamming Method of FMCW Radar FMCW雷达宽带调频抗干扰方法
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408835
Feng Jianli
{"title":"Wideband FM Anti-jamming Method of FMCW Radar","authors":"Feng Jianli","doi":"10.1109/ICSP51882.2021.9408835","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408835","url":null,"abstract":"Triangular wave FMCW radar has been widely used in the field of target detection due to its advantages of large measurement range, simple structure and high degree of automation. However, the inherent non-linearity of the FM signal can easily cause the spectrum aliasing of the difference frequency signal, which not only reduces the effectiveness of the radar's range and speed measurement, but also increases the risk of radar being interfered. Numerous studies have focused on overcoming or compensating the nonlinearity of FM signals, but they can only achieve the narrow bandwidth linearity, and the anti-jamming capability of the radar has not been improved. In this paper, the FM signal is modulated using the frequency hopping technology. In addition, the frequency of FMCW radar hops in an ultra-wide bandwidth, so the influence of the aliasing of the difference frequency signal spectrum on the FMCW radar ranging can be overcome. Furthermore, the anti-jamming capability of FMCW radar has been greatly improved.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128526239","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
Design of a classification warning device for the accumulation of water in the elevator pit 电梯坑积水分级报警装置的设计
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9409005
Zhang Yanbin, Feng Shuangchang, Chen Jie, Li Zheyi
{"title":"Design of a classification warning device for the accumulation of water in the elevator pit","authors":"Zhang Yanbin, Feng Shuangchang, Chen Jie, Li Zheyi","doi":"10.1109/ICSP51882.2021.9409005","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9409005","url":null,"abstract":"With the continuous development of urbanization in modern society, the number of elevators is increasing. In the process of building construction in the city, because part of the building bottom waterproof measures are not in place, every rain season, the elevator pit water seepage phenomenon. Excessive water will lead to the failure of related electrical safety devices and the service life of related components. This thesis describes the device mainly include the CPU, the elevator controller, pump, alarm monitoring center, and respectively set on the bottom of the elevator guide rail on the right Angle bracket of pit and highly first water level sensor, which may vary from the second water level sensor and the third water level sensor, which can effectively monitor the elevator pit water level change and start the emergency measures, minimizes the negative effects of product.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131472885","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 on assembly line scheduling based on small population adaptive genetic algorithm 基于小种群自适应遗传算法的装配线调度研究
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9409012
Lei Bao, Linxuan Zhang, Teng Sun
{"title":"Research on assembly line scheduling based on small population adaptive genetic algorithm","authors":"Lei Bao, Linxuan Zhang, Teng Sun","doi":"10.1109/ICSP51882.2021.9409012","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9409012","url":null,"abstract":"Based on the assembly line scheduling problem, an improved adaptive genetic algorithm is proposed to solve the problem that small population genetic algorithm is easy to fall into local optimal solution. In the improved genetic algorithm, the mutation rate is increased in the early iteration to improve the diversity of offspring, and the mutation rate is reduced in the later iteration to retain effective genes. The improved roulette selection method is used to solve the problem that value of optimization objectives is large and single change of it is small. In order to improve the local search ability and computational speed of the algorithm, an adaptive genetic operator is used to dynamically adjust the crossover operator in the evolution process. The feasibility of the small population adaptive genetic algorithm is verified by experiments, and the performance is compared.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127691295","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
Generating Constrained Multi-target Scene Images Using Conditional SinGAN 基于条件SinGAN的约束多目标场景图像生成
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408686
Li Xinwei, Guo Jinlin, Dou Jinshen, Lao Songyang
{"title":"Generating Constrained Multi-target Scene Images Using Conditional SinGAN","authors":"Li Xinwei, Guo Jinlin, Dou Jinshen, Lao Songyang","doi":"10.1109/ICSP51882.2021.9408686","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408686","url":null,"abstract":"As a variant of generative adversial network(GAN), SinGAN has been attracting a lot of research interest. Aiming at the disadvantage that SinGAN can easily generate multi-target images that do not conform to human logic, and the randomness of generating images is exsiting, simutaneously, the controllability of the generated images are poor, we have improved SinGAN’s architecture and loss function, and made it a conditional GAN instead of the original nonconditional GAN, so as to make the images more reasonable in spatial layout and semantic information. Conditional SinGAN realizes the function of manipulating the number and layout of the target in the image with the subjective will of the users. The experimental results show that conditional SinGAN has achieved ideal effect.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122274173","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
Robust Rigid Body Localization Under Position Error 位置误差下的鲁棒刚体定位
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408688
Yufei Chen, G. Lu, Pengwu Wan, Yuanyuan Yao
{"title":"Robust Rigid Body Localization Under Position Error","authors":"Yufei Chen, G. Lu, Pengwu Wan, Yuanyuan Yao","doi":"10.1109/ICSP51882.2021.9408688","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408688","url":null,"abstract":"Rigid body localization (RBL) technology, which can obtain both the position estimation and direction information of a target, has been incorporated into location based services (LBS). However, most existing works on the rigid body based LBS assume that there are no sensor position errors, which can lead to misleading results. This paper proposes a semi-definite relaxation method, in which both rigid body sensors and anchor nodes position errors are taken into account. Since the original problem is non-convex, we transform it into the auxiliary variable based semi-definite programming via squaring both sides of range measurement. Simulation results demonstrate that the proposed algorithm outperforms the existed works in terms of root mean square error (RMSE).","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116503405","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
ESECW method to process sEMG and its application in gait recognition ESECW方法处理表面肌电信号及其在步态识别中的应用
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408905
Can-hui Cai, Ligang Yao, Xiangwen Wei
{"title":"ESECW method to process sEMG and its application in gait recognition","authors":"Can-hui Cai, Ligang Yao, Xiangwen Wei","doi":"10.1109/ICSP51882.2021.9408905","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408905","url":null,"abstract":"Surface electromyography(sEMG) signals mainly contain noise from around environment. The noise leads the problems of poor recognition rate of lower limb. In this paper, a novel method was proposed to processing sEMG signals, named empirical mode filtering and self-enhancement algorithm with classical wavelet (ESECW), which denoises interface noise of originnl signals and enhanced the recognition rate of lower limb motions. The ESECW algorithm consist of two parts: the raw signal was first processed by the empirical mode decomposition (EMD). In the second part, the background noise of the original signal is firstly reduced with the band-pass filter, and then processed by four level wavelet decomposition to obtain four layer of high-frequency signal components which use to calculating average energy of signal. Finally, the above two processed signals are multiplied together to obtain the mixed signal. Thus, the active segment of raw signals is derived. then, the extracted feature set is input to the SVM for lowe limb motion pattern recognition. The actual experimental analysis indicate that ESECW method has good adaptability to various motion patterns and does not to set a series thresholds.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"235 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126823382","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
Interactive gesture feature recognition method in 3D virtual laboratory based on mobile terminal 基于移动终端的三维虚拟实验室交互式手势特征识别方法
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408886
Dan Zhao
{"title":"Interactive gesture feature recognition method in 3D virtual laboratory based on mobile terminal","authors":"Dan Zhao","doi":"10.1109/ICSP51882.2021.9408886","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408886","url":null,"abstract":"In order to further improve the accuracy of laboratory interactive gesture recognition. Therefore, this paper proposes an interactive gesture feature recognition method for 3D virtual laboratory under mobile terminal, which extracts gradient direction histogram and local binary pattern features respectively, and carries out feature fusion. The fusion features include not only the gradient direction information of the local region of the image, but also the texture information, which can more comprehensively describe the gesture features. The fusion feature vector is input into SVM classifier to complete gesture recognition. Experiments show that the method of gesture recognition in 3D virtual laboratory under mobile terminal has higher accuracy than traditional methods. In this experiment, a variety of gestures are recognized, and the maximum recognition rate is significantly improved.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125854188","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
Command Words Recognition Algorithm of Shrinking Residual Network based on MFCC and Dual Micro-Array 基于MFCC和双微阵列的缩减残差网络命令词识别算法
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408950
Shuo Zhang, Qingning Zeng
{"title":"Command Words Recognition Algorithm of Shrinking Residual Network based on MFCC and Dual Micro-Array","authors":"Shuo Zhang, Qingning Zeng","doi":"10.1109/ICSP51882.2021.9408950","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408950","url":null,"abstract":"In order to improve the accuracy and robustness of command word recognition in complex environments, this paper studies a command word recognition algorithm based on Shrinking residual network combining dual microarray and Mel-cepstrum coefficients. The ResNet15 network is improved by using dual micro-array datasets and contraction residual units. two multi-task contraction residual models RSN-CW with command word recognition and user judgment systems are constructed. Among them, the RSN-CW15 overall command word recognition rate and The accuracy of user judgment both exceeding the ResNet15 model. Compared with ResNet15, the training parameters of low-power RSN-CW6 are greatly reduced while ensuring accuracy.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127850471","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
Study on Chinese text classification for FastText that combing TF-RF and improved random walk model 结合TF-RF和改进随机漫步模型的FastText中文文本分类研究
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Pub Date : 2021-04-09 DOI: 10.1109/ICSP51882.2021.9408910
Zheng Wang
{"title":"Study on Chinese text classification for FastText that combing TF-RF and improved random walk model","authors":"Zheng Wang","doi":"10.1109/ICSP51882.2021.9408910","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408910","url":null,"abstract":"FastText is a text classification model by Facebook. As the model is simple in structure, it has the advantage of fast and efficient. However, when the model is used in Chinese text classification, the accurate rate will decrease. To this end, a Chinese FastText text classification method combing Term Frequency-Relevance Frequency (TF-RF) and improved random walk model is suggested in the paper. The method makes TF-R weight choice to N-gram processed dictionaries during the input stage of the FastText model, making semantic analysis by using Probabilistic Latent Semantic Analysis (PLSA), and supplements to feature words; then utilizes the improved random walk model to improve the accuracy, and the improved model is more suitable for Chinese text classification. The experiment result shows that improved model in the paper has a better effect to Chinese text classification.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128741537","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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