Pub Date : 2021-08-01DOI: 10.1109/ISCEIC53685.2021.00015
TongLing Lou
In the process of clustering ensemble, different sample points play different roles in the ensemble results, and the certainty of each sample point in the distribution to each cluster is also different. In order to reduce the impact of this uncertainty on clustering results, some scholars proposed the concept of sample stability. In this paper, we propose to calculate the stability of sample points by calculating the probability of the occurrence of sample points and sample points in their neighborhood in the same cluster of different base clusters, and propose an algorithm framework based on this calculation method. In this paper, the original data are first clustered to calculate the Mahalanobis distance between the sample points. Then, the co-occurrence probability of the target sample point and its nearest K sample points is calculated. According to the cooccurrence probability, the stability of each sample point is calculated. First, the stable sample points are hard clustered, and then the unstable sample points are assigned to the nearest cluster. The effectiveness of the proposed clustering ensemble algorithm is verified on benchmark datasets.
{"title":"A Clustering Ensemble Algorithm of Computing Stability of Sample Points Based on Neighborhood","authors":"TongLing Lou","doi":"10.1109/ISCEIC53685.2021.00015","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00015","url":null,"abstract":"In the process of clustering ensemble, different sample points play different roles in the ensemble results, and the certainty of each sample point in the distribution to each cluster is also different. In order to reduce the impact of this uncertainty on clustering results, some scholars proposed the concept of sample stability. In this paper, we propose to calculate the stability of sample points by calculating the probability of the occurrence of sample points and sample points in their neighborhood in the same cluster of different base clusters, and propose an algorithm framework based on this calculation method. In this paper, the original data are first clustered to calculate the Mahalanobis distance between the sample points. Then, the co-occurrence probability of the target sample point and its nearest K sample points is calculated. According to the cooccurrence probability, the stability of each sample point is calculated. First, the stable sample points are hard clustered, and then the unstable sample points are assigned to the nearest cluster. The effectiveness of the proposed clustering ensemble algorithm is verified on benchmark datasets.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126320164","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 : 2021-08-01DOI: 10.1109/ISCEIC53685.2021.00067
Jian-liang Wang, Yu-duo Wang, Ye Wei, Yang Li, Fangpeng Li
With the increasing utilization of parking lot, the demand for intelligent parking management system is higher and higher. Through the realization of intelligent and networked management, it is the ultimate goal of the parking lot management system to be able to book and check the parking spaces of multiple parking lots, and finally realize the scheme of stopping whenever you want. The design is an self-service intelligent parking management system based on wireless sensor network (WSN for short). The upper computer compiles the upper computer management system through C #, monitors the data from the lower computer ZigBee in real time, and receives the vehicle information data from the terminal node through ZigBee wireless way. ZigBee module is mainly based on STM32 single chip microcomputer, with ZigBee module as ZigBee node. The system consists of coordinator node and terminal node. The terminal node is equipped with infrared sensor to monitor whether the vehicle is parked or not, which realizes the intelligent management and accurate use of the parking lot. The experimental test results show that the system has a short response time and high response accuracy. The average positioning time of parking space is about 2s and the average positioning accuracy is no more than 5cm.
{"title":"Design of Self-service Intelligent Parking Management System based on WSN","authors":"Jian-liang Wang, Yu-duo Wang, Ye Wei, Yang Li, Fangpeng Li","doi":"10.1109/ISCEIC53685.2021.00067","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00067","url":null,"abstract":"With the increasing utilization of parking lot, the demand for intelligent parking management system is higher and higher. Through the realization of intelligent and networked management, it is the ultimate goal of the parking lot management system to be able to book and check the parking spaces of multiple parking lots, and finally realize the scheme of stopping whenever you want. The design is an self-service intelligent parking management system based on wireless sensor network (WSN for short). The upper computer compiles the upper computer management system through C #, monitors the data from the lower computer ZigBee in real time, and receives the vehicle information data from the terminal node through ZigBee wireless way. ZigBee module is mainly based on STM32 single chip microcomputer, with ZigBee module as ZigBee node. The system consists of coordinator node and terminal node. The terminal node is equipped with infrared sensor to monitor whether the vehicle is parked or not, which realizes the intelligent management and accurate use of the parking lot. The experimental test results show that the system has a short response time and high response accuracy. The average positioning time of parking space is about 2s and the average positioning accuracy is no more than 5cm.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125601840","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 : 2021-08-01DOI: 10.1109/ISCEIC53685.2021.00044
Rongqing Su, Jun Tang, Jiangnan Yuan, Yuewen Bi
The radar data association algorithm is one of the most difficult problems in the field of target tracking. Among them, it is easy to cause bug tracking when using the nearest neighbor data association (NNDA) algorithm. Combined with robust Kalman filtering and nearest neighbor ideas, this paper proposes the robust nearest neighbor data association (RNNDA) algorithm. This paper introduces the process of RNNDA. The simulation results show that the target tracking accuracy of RNNDA is high than NNDA. Moreover, the times of target bug tracking are reduced significantly.
{"title":"Nearest Neighbor Data Association Algorithm Based on Robust Kalman Filtering","authors":"Rongqing Su, Jun Tang, Jiangnan Yuan, Yuewen Bi","doi":"10.1109/ISCEIC53685.2021.00044","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00044","url":null,"abstract":"The radar data association algorithm is one of the most difficult problems in the field of target tracking. Among them, it is easy to cause bug tracking when using the nearest neighbor data association (NNDA) algorithm. Combined with robust Kalman filtering and nearest neighbor ideas, this paper proposes the robust nearest neighbor data association (RNNDA) algorithm. This paper introduces the process of RNNDA. The simulation results show that the target tracking accuracy of RNNDA is high than NNDA. Moreover, the times of target bug tracking are reduced significantly.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127096038","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 : 2021-08-01DOI: 10.1109/ISCEIC53685.2021.00059
Min Zhang, Long Peng, Yingqian Meng, Dong Liang
In order to solve the problem of lack of command means to connect different types of police terminals to the command center for management and scheduling, this paper designs and develops a multi type terminals concurrent access system of police terminals cloud platform, which realizes multiple types of terminals access. The cloud platform can access Tiantong terminal, Beidou terminal and PDT terminal at the same time based on load balance scheduling algorithm on several servers. The high performance of the police terminals access and the police service can be satisfied.
{"title":"A cloud processing method for satellite terminals communication scheduling","authors":"Min Zhang, Long Peng, Yingqian Meng, Dong Liang","doi":"10.1109/ISCEIC53685.2021.00059","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00059","url":null,"abstract":"In order to solve the problem of lack of command means to connect different types of police terminals to the command center for management and scheduling, this paper designs and develops a multi type terminals concurrent access system of police terminals cloud platform, which realizes multiple types of terminals access. The cloud platform can access Tiantong terminal, Beidou terminal and PDT terminal at the same time based on load balance scheduling algorithm on several servers. The high performance of the police terminals access and the police service can be satisfied.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"289 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132663219","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 : 2021-08-01DOI: 10.1109/ISCEIC53685.2021.00068
Yuewen Bi, Jiangnan Yuan
Aiming at the problems of a large volume, high price, and complex operation of traditional global positioning system (GPS) signal simulator, a low-cost and portable GPS signal simulator based on ZYNQ is designed, which can simulate and generate multiple satellite signals. Compared with the common digital signal processing (DSP) and field programmable gate array (FPGA) combination technical solutions, ZYNQ adopts ARM + FPGA mode. In this mode, ARM and FPGA can achieve efficient coupling through an advanced extensible interface (AXI) on-chip bus interface, with a faster communication speed and more stable data transmission. The ARM module is responsible for receiving the scene information sent by the host computer as the information processing part, and generating the navigation message in the real time. The FPGA module is used as the signal processing part to process the data of multiple satellites in parallel. The intermediate frequency (IF) signal is modulated by the direct digital synthesis (DDS) technology and sent to the digital-analog converter (DAC) to generate the analog IF signal. The experimental results show that the GPS LI frequency satellite signal is successfully simulated, and the error between the positioning coordinates and the preset coordinates is within a reasonable range, which verifies the feasibility of the design scheme.
{"title":"A Portable GPS Signal Simulator Design Based on ZYNQ","authors":"Yuewen Bi, Jiangnan Yuan","doi":"10.1109/ISCEIC53685.2021.00068","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00068","url":null,"abstract":"Aiming at the problems of a large volume, high price, and complex operation of traditional global positioning system (GPS) signal simulator, a low-cost and portable GPS signal simulator based on ZYNQ is designed, which can simulate and generate multiple satellite signals. Compared with the common digital signal processing (DSP) and field programmable gate array (FPGA) combination technical solutions, ZYNQ adopts ARM + FPGA mode. In this mode, ARM and FPGA can achieve efficient coupling through an advanced extensible interface (AXI) on-chip bus interface, with a faster communication speed and more stable data transmission. The ARM module is responsible for receiving the scene information sent by the host computer as the information processing part, and generating the navigation message in the real time. The FPGA module is used as the signal processing part to process the data of multiple satellites in parallel. The intermediate frequency (IF) signal is modulated by the direct digital synthesis (DDS) technology and sent to the digital-analog converter (DAC) to generate the analog IF signal. The experimental results show that the GPS LI frequency satellite signal is successfully simulated, and the error between the positioning coordinates and the preset coordinates is within a reasonable range, which verifies the feasibility of the design scheme.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"205 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134058305","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 : 2021-08-01DOI: 10.1109/ISCEIC53685.2021.00075
Yi Yao, Yuan Sang, Zisheng Zhao, Yidong Cao
Liver segmentation is a common difficulty and key problem in the field of medical imaging. Aiming at the problem that the existing liver CT images have various shapes and the boundary regions are difficult to segment. So an improved U-Net liver segmentation method is proposed. First, introduce the CSPP module with a dilated convolution and multi-scale feature fusion structure to expand the receptive field while extracting richer spatial information; secondly, connect the CSPP modules in series and combine the residual structure to form the DREG module and join the U-Net network jump connection structure. The high-level and low-level feature information is fused to retain the subtle edge information of the liver; the above method solves the problem of diverse sample data shapes and difficult segmentation of boundary regions. Experimental results on the MICCAI 2017 Liver Tumor Segmentation(LiTS) challenge dataset show that this method obtains a good accuracy rate and has high application value for the clinical auxiliary diagnosis of liver CT images.
{"title":"Research on Segmentation and Recognition of Liver CT Image Based on Multi-scale Feature Fusion","authors":"Yi Yao, Yuan Sang, Zisheng Zhao, Yidong Cao","doi":"10.1109/ISCEIC53685.2021.00075","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00075","url":null,"abstract":"Liver segmentation is a common difficulty and key problem in the field of medical imaging. Aiming at the problem that the existing liver CT images have various shapes and the boundary regions are difficult to segment. So an improved U-Net liver segmentation method is proposed. First, introduce the CSPP module with a dilated convolution and multi-scale feature fusion structure to expand the receptive field while extracting richer spatial information; secondly, connect the CSPP modules in series and combine the residual structure to form the DREG module and join the U-Net network jump connection structure. The high-level and low-level feature information is fused to retain the subtle edge information of the liver; the above method solves the problem of diverse sample data shapes and difficult segmentation of boundary regions. Experimental results on the MICCAI 2017 Liver Tumor Segmentation(LiTS) challenge dataset show that this method obtains a good accuracy rate and has high application value for the clinical auxiliary diagnosis of liver CT images.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"221 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122882096","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 : 2021-08-01DOI: 10.1109/ISCEIC53685.2021.00093
Weikuan Lu, Zhili Zhou, Xiukai Ruan, Zhengbing Yan, G. Cui
Insulators are a critical component in power transmission, and the detection of insulators is an essential prerequisite for achieving insulator status and fault diagnosis. An insulator detection method in aerial images based on the improved Faster R-CNN is proposed to address the problems of inaccurate localization and undetected error in the detection of insulators. In this method, the generalized intersection over union (GIoU) is adopted to overcome that the detection is sensitive to various scales insulators in aerial images, and it also improves the accuracy of insulator localization effectively. Meanwhile, the soft non-maximum suppression (Soft-NMS) algorithm is adopted to avoid missing detection of insulators in the post-processing stage because of mutual occlusion in aerial images. The experimental results show that the proposed method can effectively detect insulators in aerial images with complex backgrounds, and the average accuracy is significantly improved compared with different methods.
{"title":"Insulator Detection Method Based on Improved Faster R-CNN with Aerial Images","authors":"Weikuan Lu, Zhili Zhou, Xiukai Ruan, Zhengbing Yan, G. Cui","doi":"10.1109/ISCEIC53685.2021.00093","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00093","url":null,"abstract":"Insulators are a critical component in power transmission, and the detection of insulators is an essential prerequisite for achieving insulator status and fault diagnosis. An insulator detection method in aerial images based on the improved Faster R-CNN is proposed to address the problems of inaccurate localization and undetected error in the detection of insulators. In this method, the generalized intersection over union (GIoU) is adopted to overcome that the detection is sensitive to various scales insulators in aerial images, and it also improves the accuracy of insulator localization effectively. Meanwhile, the soft non-maximum suppression (Soft-NMS) algorithm is adopted to avoid missing detection of insulators in the post-processing stage because of mutual occlusion in aerial images. The experimental results show that the proposed method can effectively detect insulators in aerial images with complex backgrounds, and the average accuracy is significantly improved compared with different methods.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129038899","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 : 2021-08-01DOI: 10.1109/ISCEIC53685.2021.00023
Liangming Mao, Lingyun Liu
Wireless sensor networks (WSNs) have the ability to sense and process information. Only when the position of the sensor nodes is available, the information transmitted to the user is meaningful. In this paper, to improve the localization accuracy of DV-Hop, a two-objective DV-Hop localization algorithm based on parallel grey wolf optimization is proposed called PGWO-DV- Hop. Unlike the traditional DV-Hop based on intelligent optimization algorithm, after DV-Hop, two objective functions are established by using the estimated coordinates of neighboring nodes, the estimated distance and the theoretical distance between unknown node and neighboring nodes. To optimize the functions, the parallel grey wolf optimization (PGWO) is proposed. Simulation results show that compared with original DV-Hop and the other two typical improved algorithms, our proposed strategy significantly improves the localization accuracy.
{"title":"A parallel grey wolf optimization with two objective functions applied in DV-Hop localization algorithm","authors":"Liangming Mao, Lingyun Liu","doi":"10.1109/ISCEIC53685.2021.00023","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00023","url":null,"abstract":"Wireless sensor networks (WSNs) have the ability to sense and process information. Only when the position of the sensor nodes is available, the information transmitted to the user is meaningful. In this paper, to improve the localization accuracy of DV-Hop, a two-objective DV-Hop localization algorithm based on parallel grey wolf optimization is proposed called PGWO-DV- Hop. Unlike the traditional DV-Hop based on intelligent optimization algorithm, after DV-Hop, two objective functions are established by using the estimated coordinates of neighboring nodes, the estimated distance and the theoretical distance between unknown node and neighboring nodes. To optimize the functions, the parallel grey wolf optimization (PGWO) is proposed. Simulation results show that compared with original DV-Hop and the other two typical improved algorithms, our proposed strategy significantly improves the localization accuracy.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115861768","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 : 2021-08-01DOI: 10.1109/ISCEIC53685.2021.00060
Xuhui Cao, Qinfang Huang, Chuanmu Li
In order to make the digital watermark more robust and invisible, an image watermark embedding method based on the visual characteristics of human eyes and wavelet transform is proposed. Firstly, the binary watermark is dislocated by chaotic mapping, and then the watermark is embedded into the wavelet transform coefficients by quantization method, and the quantization step is dynamically adjusted according to the local correlation characteristics of the image and the visual characteristics of human eyes. Simulation experiments show that the algorithm not only has good transparency and security, but also has good robustness against attacks.
{"title":"Adaptive image watermarking algorithm based on visual characteristics","authors":"Xuhui Cao, Qinfang Huang, Chuanmu Li","doi":"10.1109/ISCEIC53685.2021.00060","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00060","url":null,"abstract":"In order to make the digital watermark more robust and invisible, an image watermark embedding method based on the visual characteristics of human eyes and wavelet transform is proposed. Firstly, the binary watermark is dislocated by chaotic mapping, and then the watermark is embedded into the wavelet transform coefficients by quantization method, and the quantization step is dynamically adjusted according to the local correlation characteristics of the image and the visual characteristics of human eyes. Simulation experiments show that the algorithm not only has good transparency and security, but also has good robustness against attacks.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114132024","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 : 2021-08-01DOI: 10.1109/ISCEIC53685.2021.00084
Pei Zhang, Chengye Zhang, Weilong Gai
With the continuous development of high technology, the field of unmanned combat systems will continue to expand, and the ability to complete various combat tasks will continue to improve. The role of unmanned combat systems in the future information warfare and anti-terrorism wars will become increasingly prominent. Therefore, there is an urgent need for in-depth study of the unmanned combat systems related issues. Based on the analysis of the unmanned combat platforms in the air, sea, and ground, this article elaborates the development status and existing problems of unmanned combat platforms in detail, and provides a solid foundation for further research on unmanned combat systems related issues.
{"title":"Research on System Analysis and Development Issues of the Unmanned Combat Platform","authors":"Pei Zhang, Chengye Zhang, Weilong Gai","doi":"10.1109/ISCEIC53685.2021.00084","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00084","url":null,"abstract":"With the continuous development of high technology, the field of unmanned combat systems will continue to expand, and the ability to complete various combat tasks will continue to improve. The role of unmanned combat systems in the future information warfare and anti-terrorism wars will become increasingly prominent. Therefore, there is an urgent need for in-depth study of the unmanned combat systems related issues. Based on the analysis of the unmanned combat platforms in the air, sea, and ground, this article elaborates the development status and existing problems of unmanned combat platforms in detail, and provides a solid foundation for further research on unmanned combat systems related issues.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125570126","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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