In order to effectively and quickly match the needs of the selected shared power tower, a shared tower communication platform with adaptive mounting is proposed. The application system of communication platform is constructed from the aspects of economic and social benefits, and the calculation method of maximum and minimum mounting height of communication antenna is adopted to deal with the hanging points of the tower, then to obtain the final position of the hanging points. At the same time, use the rolling ball method to check the selected mounting height. Talking a typical tower as an example, the existing tower is analyzed by using the constructed platform, and the design of the maintenance channel is reserved in the platform in communication with the actual situation, so as to solve the power operation and maintenance problem in the construction process of the shared tower. Finally, the feasibility and effectiveness of the constructed communication platform are verified.
{"title":"Shared tower communication platform system based on adaptive mounting","authors":"Liguo Chen, Yujian Dai, Peng Wu, Chengjie Wang, Xiangiun Meng, Zhenkun Wang, H. Zhang","doi":"10.1109/CCISP55629.2022.9974566","DOIUrl":"https://doi.org/10.1109/CCISP55629.2022.9974566","url":null,"abstract":"In order to effectively and quickly match the needs of the selected shared power tower, a shared tower communication platform with adaptive mounting is proposed. The application system of communication platform is constructed from the aspects of economic and social benefits, and the calculation method of maximum and minimum mounting height of communication antenna is adopted to deal with the hanging points of the tower, then to obtain the final position of the hanging points. At the same time, use the rolling ball method to check the selected mounting height. Talking a typical tower as an example, the existing tower is analyzed by using the constructed platform, and the design of the maintenance channel is reserved in the platform in communication with the actual situation, so as to solve the power operation and maintenance problem in the construction process of the shared tower. Finally, the feasibility and effectiveness of the constructed communication platform are verified.","PeriodicalId":431851,"journal":{"name":"2022 7th International Conference on Communication, Image and Signal Processing (CCISP)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126694402","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}
Pub Date : 2022-11-01DOI: 10.1109/CCISP55629.2022.9974243
Boning Sun, Zhe Zheng, Yang Zhou, Ruoshi Zhang
Aiming at the attenuation problem when doppler frequency shift is large, pmF-FFT algorithm based on matched filter is introduced to compensate the attenuation of matched filter through FFT method, but at the same time, PMF-FFT algorithm also introduces scallop loss due to the introduction of FFT operation. In this paper, the mathematical model of PMF-FFT algorithm is given, the basic principle of acquisition is analyzed, and the characteristics of amplitude-frequency response are deduced and analyzed mathematically. Aiming at the selection of partial matched filter length in the design of PMF-FFT capture system, this paper studies the influence of the change of partial matched filter length on several performance indexes, and gives the selection criteria of partial matched filter length. In this paper, the scallop and related losses in PMF-FFT algorithm are compensated in two ways: adding zero and adding window. Finally, the performance of the improved algorithm is analyzed, and it is proved that the improved algorithm has better performance than the original algorithm. At the same time, several performance indexes are proposed, which proves the superiority of the improved algorithm.
{"title":"Research on fast acquisition algorithm of spread spectrum signal based on PMF-FFT","authors":"Boning Sun, Zhe Zheng, Yang Zhou, Ruoshi Zhang","doi":"10.1109/CCISP55629.2022.9974243","DOIUrl":"https://doi.org/10.1109/CCISP55629.2022.9974243","url":null,"abstract":"Aiming at the attenuation problem when doppler frequency shift is large, pmF-FFT algorithm based on matched filter is introduced to compensate the attenuation of matched filter through FFT method, but at the same time, PMF-FFT algorithm also introduces scallop loss due to the introduction of FFT operation. In this paper, the mathematical model of PMF-FFT algorithm is given, the basic principle of acquisition is analyzed, and the characteristics of amplitude-frequency response are deduced and analyzed mathematically. Aiming at the selection of partial matched filter length in the design of PMF-FFT capture system, this paper studies the influence of the change of partial matched filter length on several performance indexes, and gives the selection criteria of partial matched filter length. In this paper, the scallop and related losses in PMF-FFT algorithm are compensated in two ways: adding zero and adding window. Finally, the performance of the improved algorithm is analyzed, and it is proved that the improved algorithm has better performance than the original algorithm. At the same time, several performance indexes are proposed, which proves the superiority of the improved algorithm.","PeriodicalId":431851,"journal":{"name":"2022 7th International Conference on Communication, Image and Signal Processing (CCISP)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124845389","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}
Pub Date : 2022-11-01DOI: 10.1109/ccisp55629.2022.9974451
{"title":"Cover CCISP 2022","authors":"","doi":"10.1109/ccisp55629.2022.9974451","DOIUrl":"https://doi.org/10.1109/ccisp55629.2022.9974451","url":null,"abstract":"","PeriodicalId":431851,"journal":{"name":"2022 7th International Conference on Communication, Image and Signal Processing (CCISP)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121959988","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}
Pub Date : 2022-11-01DOI: 10.1109/CCISP55629.2022.9974407
Hongying Zhang, Ning Yang, Muhammad Ilyas Menhas, Bilal Ahmad, Hui Chen
The difficulties of dense and dynamic movement of people can cause shelter and deformation, as well as affected by light. This paper proposes an effective measure for the detection tracking and counting of dynamic pedestrian volume in open plazas based on YOLO V5. The small target detection layer is added with the deep learning network YOLO V5, and the Cross Stage Partial (CSP) module is improved. Attention mechanism and bi-directional feature pyramid network are added, too. The experimental results show that the proposed method has high detection speed and low missed detection rate. It can accurately detect and calculate the total pedestrian flow in the open plazas. The method also has accurate identification of pedestrians in different light and weather conditions, as well as ensures real-time detection.
{"title":"Dynamic Video Streaming Real-time Headcount Based on Improved YOLO V5 for Open Plazas","authors":"Hongying Zhang, Ning Yang, Muhammad Ilyas Menhas, Bilal Ahmad, Hui Chen","doi":"10.1109/CCISP55629.2022.9974407","DOIUrl":"https://doi.org/10.1109/CCISP55629.2022.9974407","url":null,"abstract":"The difficulties of dense and dynamic movement of people can cause shelter and deformation, as well as affected by light. This paper proposes an effective measure for the detection tracking and counting of dynamic pedestrian volume in open plazas based on YOLO V5. The small target detection layer is added with the deep learning network YOLO V5, and the Cross Stage Partial (CSP) module is improved. Attention mechanism and bi-directional feature pyramid network are added, too. The experimental results show that the proposed method has high detection speed and low missed detection rate. It can accurately detect and calculate the total pedestrian flow in the open plazas. The method also has accurate identification of pedestrians in different light and weather conditions, as well as ensures real-time detection.","PeriodicalId":431851,"journal":{"name":"2022 7th International Conference on Communication, Image and Signal Processing (CCISP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129665759","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}
Pub Date : 2022-11-01DOI: 10.1109/CCISP55629.2022.9974457
Dapeng Shang, L. Liang, X. Fang, Yongquan Sun
The ability of radars to detect targets is affected by the electromagnetic interference. Aiming at the problem of estimating radar reliability under a repressive electromagnetic environment, this study analyzed the influences of suppressive jamming on the maximum detection range from the perspective of energy domain, then the quantitative method of radar reliability under electromagnetic interference was proposed. With the help of the Monte-Carlo technology, the simulation of jamming and working signals were carried out, then the maximum detection range was estimated, and finally, the degradation process of detection range of the radar among the changing electromagnetic interference was modeled based on the Normal degeneration distribution. It is helpful to predict the probability of radar to complete the specified task in the electromagnetic environment when the performance threshold is determined, which is beneficial to equipment configuration and task arrangement in actual scenes.
{"title":"Radar reliability modeling approach in the repressive electromagnetic environment","authors":"Dapeng Shang, L. Liang, X. Fang, Yongquan Sun","doi":"10.1109/CCISP55629.2022.9974457","DOIUrl":"https://doi.org/10.1109/CCISP55629.2022.9974457","url":null,"abstract":"The ability of radars to detect targets is affected by the electromagnetic interference. Aiming at the problem of estimating radar reliability under a repressive electromagnetic environment, this study analyzed the influences of suppressive jamming on the maximum detection range from the perspective of energy domain, then the quantitative method of radar reliability under electromagnetic interference was proposed. With the help of the Monte-Carlo technology, the simulation of jamming and working signals were carried out, then the maximum detection range was estimated, and finally, the degradation process of detection range of the radar among the changing electromagnetic interference was modeled based on the Normal degeneration distribution. It is helpful to predict the probability of radar to complete the specified task in the electromagnetic environment when the performance threshold is determined, which is beneficial to equipment configuration and task arrangement in actual scenes.","PeriodicalId":431851,"journal":{"name":"2022 7th International Conference on Communication, Image and Signal Processing (CCISP)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131175073","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}
Pub Date : 2022-11-01DOI: 10.1109/CCISP55629.2022.9974586
Yanqin Wu, Tiantian Lv, Le Zhang
In the field of Internet and communication, the existing service fault location technology is based on out-of-band measurement, cannot really reproduce the problem points. This paper presents a network business quality intelligent assessment and fault location method based on IFIT. According to the performance data and device data reported by the IFIT, the end-to-end quality intelligent evaluation model based on AI technology is used to evaluate the end-to-end service quality and detect the service status. If the end-to-end service quality status is poor or interrupted, adjust the detection mode to hop-by-hop mode, determine the link and port where the specific quality is poor or interrupted, and then determine the area where the fault occurs. The evaluation results show that, and values of the methods in this paper are all over 85%, higher than the traditional methods, and the comprehensive comparison results show the method of this paper are 10% higher than traditional method, which prove the validity and reliability of the method presented in this paper.
{"title":"A network business quality intelligent assessment and fault location method based on IFIT","authors":"Yanqin Wu, Tiantian Lv, Le Zhang","doi":"10.1109/CCISP55629.2022.9974586","DOIUrl":"https://doi.org/10.1109/CCISP55629.2022.9974586","url":null,"abstract":"In the field of Internet and communication, the existing service fault location technology is based on out-of-band measurement, cannot really reproduce the problem points. This paper presents a network business quality intelligent assessment and fault location method based on IFIT. According to the performance data and device data reported by the IFIT, the end-to-end quality intelligent evaluation model based on AI technology is used to evaluate the end-to-end service quality and detect the service status. If the end-to-end service quality status is poor or interrupted, adjust the detection mode to hop-by-hop mode, determine the link and port where the specific quality is poor or interrupted, and then determine the area where the fault occurs. The evaluation results show that, and values of the methods in this paper are all over 85%, higher than the traditional methods, and the comprehensive comparison results show the method of this paper are 10% higher than traditional method, which prove the validity and reliability of the method presented in this paper.","PeriodicalId":431851,"journal":{"name":"2022 7th International Conference on Communication, Image and Signal Processing (CCISP)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131177149","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}
Pub Date : 2022-11-01DOI: 10.1109/CCISP55629.2022.9974590
Fu Yuan
A LoRa noise waveform (LoRa-NW) modulation was proposed based on LoRa and low interception probability linear frequency modulation (LFM) waveform technology, and its implementation process was demonstrated. The LoRa-NW modulation signal was formed by superimposing a uniformly distributed random initial phase with mean value on the instantaneous phase to noise Lora chirp waveform. It was analyzed that such LoRa-NW signal can still be demodulated by LoRa low-complexity receiver, which maintained the advantages of LoRa with low power consumption. The demodulation performance such as symbol error rate of LoRa-NW was discussed and simulated. The simulation results showed that LoRa-NW had obtained a lower interception probability with signal-to-noise ratio deterioration about sinc2(kµ) compared with LoRa.
{"title":"LoRa-based Low Intercept Probability Noise Waveform Modulation","authors":"Fu Yuan","doi":"10.1109/CCISP55629.2022.9974590","DOIUrl":"https://doi.org/10.1109/CCISP55629.2022.9974590","url":null,"abstract":"A LoRa noise waveform (LoRa-NW) modulation was proposed based on LoRa and low interception probability linear frequency modulation (LFM) waveform technology, and its implementation process was demonstrated. The LoRa-NW modulation signal was formed by superimposing a uniformly distributed random initial phase with mean value on the instantaneous phase to noise Lora chirp waveform. It was analyzed that such LoRa-NW signal can still be demodulated by LoRa low-complexity receiver, which maintained the advantages of LoRa with low power consumption. The demodulation performance such as symbol error rate of LoRa-NW was discussed and simulated. The simulation results showed that LoRa-NW had obtained a lower interception probability with signal-to-noise ratio deterioration about sinc2(kµ) compared with LoRa.","PeriodicalId":431851,"journal":{"name":"2022 7th International Conference on Communication, Image and Signal Processing (CCISP)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133442910","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}
Pub Date : 2022-11-01DOI: 10.1109/CCISP55629.2022.9974283
Weichen Sun, Bo Zhao, Zhijing Zhang, Yutong Jiang
The current image recognition algorithm uses the preset operator to extract the edge and uses the Hough Transform to recognize the end face, which is not applicable to the case where the image definition is unstable. This paper presents a method for recognizing and positioning the end faces in unstable definition images based on cross entropy estimation. Gaussian Mixture Model is established for the image intensity and the end face image is segmented based on the model parameters, which are estimated by EM algorithm. A probability distribution is generated to characterize the intensity distribution of the image near the end face. By calculating and minimizing the cross entropy of the image intensity distribution and the designed probability distribution, the position of the end face image feature is estimated. The experimental results show that the proposed method can extract all circular features from 30 test images within 5mm range of axial position error, which shows high robustness and adaptability. The estimated position errors of the centers of end faces are within 1/3 radius, which meets the requirements of automatic assembly process.
{"title":"End Face Recognition and Positioning Method in Unstable Definition Image based on Cross Entropy Estimation","authors":"Weichen Sun, Bo Zhao, Zhijing Zhang, Yutong Jiang","doi":"10.1109/CCISP55629.2022.9974283","DOIUrl":"https://doi.org/10.1109/CCISP55629.2022.9974283","url":null,"abstract":"The current image recognition algorithm uses the preset operator to extract the edge and uses the Hough Transform to recognize the end face, which is not applicable to the case where the image definition is unstable. This paper presents a method for recognizing and positioning the end faces in unstable definition images based on cross entropy estimation. Gaussian Mixture Model is established for the image intensity and the end face image is segmented based on the model parameters, which are estimated by EM algorithm. A probability distribution is generated to characterize the intensity distribution of the image near the end face. By calculating and minimizing the cross entropy of the image intensity distribution and the designed probability distribution, the position of the end face image feature is estimated. The experimental results show that the proposed method can extract all circular features from 30 test images within 5mm range of axial position error, which shows high robustness and adaptability. The estimated position errors of the centers of end faces are within 1/3 radius, which meets the requirements of automatic assembly process.","PeriodicalId":431851,"journal":{"name":"2022 7th International Conference on Communication, Image and Signal Processing (CCISP)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132868547","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}
Pub Date : 2022-11-01DOI: 10.1109/CCISP55629.2022.9974197
Tiantian Lv, Yanqin Wu, Le Zhang
In order to distinguish different types of network services and analyze the needs of customers of different types of services to ensure user perception. This paper proposes a classification method of network business type based on XGboost. Firstly, a feature contribution analysis method based on Pearson correlation coefficient is proposed, then the classification model of network business type based on XGboost is constructed to classify network business type. Finally, RMSE is used to evaluation the classification method. Compared with other models, the RMSE of XGboost model is no more than 3.5, lower than LSTM, ARIMA, LR and SVM model, which proves the reliability of the XGboost model in network business type classification.
{"title":"A classification method of network business type based on XGboost","authors":"Tiantian Lv, Yanqin Wu, Le Zhang","doi":"10.1109/CCISP55629.2022.9974197","DOIUrl":"https://doi.org/10.1109/CCISP55629.2022.9974197","url":null,"abstract":"In order to distinguish different types of network services and analyze the needs of customers of different types of services to ensure user perception. This paper proposes a classification method of network business type based on XGboost. Firstly, a feature contribution analysis method based on Pearson correlation coefficient is proposed, then the classification model of network business type based on XGboost is constructed to classify network business type. Finally, RMSE is used to evaluation the classification method. Compared with other models, the RMSE of XGboost model is no more than 3.5, lower than LSTM, ARIMA, LR and SVM model, which proves the reliability of the XGboost model in network business type classification.","PeriodicalId":431851,"journal":{"name":"2022 7th International Conference on Communication, Image and Signal Processing (CCISP)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121853783","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}
Pub Date : 2022-11-01DOI: 10.1109/CCISP55629.2022.9974524
Tao Yin, Xiantao Jiang, Hongbin Xu
Aiming at the problems of low detection accuracy and insufficient feature fusion in the underwater environment, an efficient object detection aprroach is proposed based on YOLOv5 with the convolutional attention module. Firstly, the YOLOv5s network model is optimized and improved by integrating convolutional attention, and feature extraction is performed for the input image. Secondly, the weighted bidirectional feature pyramid network is used to enhance the original structure to make multi-scale feature fusion more convenient. Finally, the post-processing algorithm of non-maximum suppression is improved. The experimental results show that the mAP of this method is 85.8%, which is 3.8% higher than that of YOLOv5s, and the accuracy is 4.7% higher than that of YOLOv5s. The proposed model can meet the real-time and accuracy requirements of seabed biological detection in the underwater environment.
{"title":"Convolutional Attention-enabled Underwater Object Detection with Electro-optical Image","authors":"Tao Yin, Xiantao Jiang, Hongbin Xu","doi":"10.1109/CCISP55629.2022.9974524","DOIUrl":"https://doi.org/10.1109/CCISP55629.2022.9974524","url":null,"abstract":"Aiming at the problems of low detection accuracy and insufficient feature fusion in the underwater environment, an efficient object detection aprroach is proposed based on YOLOv5 with the convolutional attention module. Firstly, the YOLOv5s network model is optimized and improved by integrating convolutional attention, and feature extraction is performed for the input image. Secondly, the weighted bidirectional feature pyramid network is used to enhance the original structure to make multi-scale feature fusion more convenient. Finally, the post-processing algorithm of non-maximum suppression is improved. The experimental results show that the mAP of this method is 85.8%, which is 3.8% higher than that of YOLOv5s, and the accuracy is 4.7% higher than that of YOLOv5s. The proposed model can meet the real-time and accuracy requirements of seabed biological detection in the underwater environment.","PeriodicalId":431851,"journal":{"name":"2022 7th International Conference on Communication, Image and Signal Processing (CCISP)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127083167","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}
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