Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering最新文献_第8页

Influence of channel nonlinearity on high-speed data demodulation performance based on simulator 信道非线性对基于模拟器的高速数据解调性能的影响

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501661

Zheshuai Zhou, Hongbing Fang, Yubo Tang, Yan Li, Jiuzhou Zhao, Hui Zhang

{"title":"Influence of channel nonlinearity on high-speed data demodulation performance based on simulator","authors":"Zheshuai Zhou, Hongbing Fang, Yubo Tang, Yan Li, Jiuzhou Zhao, Hui Zhang","doi":"10.1145/3501409.3501661","DOIUrl":"https://doi.org/10.1145/3501409.3501661","url":null,"abstract":"This paper mainly studies the influence of channel nonlinearity on the high-speed demodulation performance of satellite with 2/3 LDPC encoding and 600Mbps speed. Through the design of a channel simulator-based test plan, a single channel characteristic test is carried out, focusing on the analysis of the impact of the amplitude-frequency characteristic, group delay, phase noise and other single channel nonlinear characteristics on the high-speed demodulation performance, and the influence of channel nonlinearity on high-speed data demodulation performance is analyzed through the comprehensive channel characteristic test. Results show that the measured phase noise and amplitude-frequency characteristic curves have little influence on the bit error rate, and the group delay has a greater influence on the bit error rate. When the group delay fluctuates more than $pL2ns, the demodulation threshold is increased by 10dB. In addition, other nonlinear characteristics, such as third-order intermodulation, AM/PM and AM/AM, are also analyzed.","PeriodicalId":191106,"journal":{"name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128045839","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

Network Anomaly Detection Method Based on Joint Optimization of GAN and Classifier in Few-shot Scenarios 基于GAN和分类器联合优化的少射场景网络异常检测方法

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501528

Hongcheng Li, Jin Xiong, Yuan Gao, Cheng Wang

{"title":"Network Anomaly Detection Method Based on Joint Optimization of GAN and Classifier in Few-shot Scenarios","authors":"Hongcheng Li, Jin Xiong, Yuan Gao, Cheng Wang","doi":"10.1145/3501409.3501528","DOIUrl":"https://doi.org/10.1145/3501409.3501528","url":null,"abstract":"Research into network anomaly detection methods in few-shot scenarios is of great practical significance, since there are relatively rare network anomaly events compared with normal ones. Sample augmentation based on GAN (Generative Adversarial network) has few requirements for domain knowledge and data types, and also has strong universality. In order to address the lack of guidance in hyperparameters optimizing for sample augmentation based on GAN, the joint optimization of GAN and classifier is introduced to realize the network anomaly sample augmentation and anomaly detection. Firstly, the network anomaly sample augmentation model and network anomaly detection classifier based on GAN are designed. Subsequently, hyperparameters trained with the sample augmentation model are optimized and selected according to the performance of the classifier on the augmented sample set. Finally, experiments are conducted on two types of datasets, namely network performance parameter characteristics and network traffic data characteristics. In accordance with the experimental results, the proposed sample augmentation method based on the joint optimization could effectively improve the accuracy of network anomaly detection in the few-shot scenarios.","PeriodicalId":191106,"journal":{"name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121637629","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

Development of SOC monitoring system for power packs in Battery Swap Station 电池交换站电源组SOC监测系统的开发

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501450

Haiyan Li

引用次数: 0

Attainable Control Set Calculation Method for Over-actuated System in Which Column Vector of Efficiency Matrix is Proportional 效率矩阵列向量成比例的过驱动系统可得控制集计算方法

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501540

Yuhong Xing, Jiuhong Ruan

{"title":"Attainable Control Set Calculation Method for Over-actuated System in Which Column Vector of Efficiency Matrix is Proportional","authors":"Yuhong Xing, Jiuhong Ruan","doi":"10.1145/3501409.3501540","DOIUrl":"https://doi.org/10.1145/3501409.3501540","url":null,"abstract":"The control allocation method based on the attainable control set has become a hot issue in the field of control allocation, and it has been widely used in advanced satellites, airplanes, navigation, automobiles, robots and other fields. Many results have been achieved in the calculation of the attainable control set of the over-actuated system, but there is no public result for the precise calculation of the attainable control set when the column vectors of the control efficiency matrix are proportional. This paper proposes a method to determine the attainable control set of the over-actuated system when the column vectors of the control efficiency matrix are proportional. This method provides an accurate calculation method for the attainable control set of the over-actuated system when the two or more column vectors of the control efficiency matrix are proportional. The method proposed in this paper is programmed and implemented by matlab software, and an example is performed. The results show that the proposed method has high computational efficiency and accurate calculation results. The research ideas in this paper also have enlightenment for the precise calculation of the attainable control set when the third-order sub-matrix is a more general singular matrix.","PeriodicalId":191106,"journal":{"name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116481544","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 target detection probability model based on headwear eye tracker 基于头戴式眼动仪的目标检测概率模型研究

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501665

Hu He, Fang Zhang, Long Chen, Mingming Liu, Jingjun Yuan, Yanxi Ren

{"title":"Research on target detection probability model based on headwear eye tracker","authors":"Hu He, Fang Zhang, Long Chen, Mingming Liu, Jingjun Yuan, Yanxi Ren","doi":"10.1145/3501409.3501665","DOIUrl":"https://doi.org/10.1145/3501409.3501665","url":null,"abstract":"Camouflage is one of the important protective measures for targets in modern information warfare, and camouflage effect evaluation is an indispensable link in camouflage struggle. The survival and struggle ability of targets in the battlefield largely depends on the camouflage effect. The main purpose of this paper is to solve the problems existing in the existing target camouflage effect evaluation, it solves subjective judgment as the basis, quantitative and qualitative methods what are insufficient, camouflage effect which is difficult to predict. The detection probability of the target can be judged according to the significance degree, so as to realize the effect evaluation of Engineering camouflage. This model provides a unified mathematical description of the search and detection process. By making some simplified assumptions, Markov model with universality and flexibility is used to solve a very complex camouflage evaluation problem. Through the analysis of experimental data, the adaptability and effectiveness of this method are verified.","PeriodicalId":191106,"journal":{"name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126685014","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 Computer Simulation of Human Thermal Comfort in Shanghai Summer Air-Conditioning Room Based on Response Surface Technology 基于响应面技术的上海夏季空调室内人体热舒适计算机模拟研究

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501657

Kezhi Yu, T. Zhang, Yutong Yang, Yanling Liu

引用次数: 0

Multivariate Data Fusion Method Based on 3DGIS and its Application in Engineering Management 基于三维gis的多元数据融合方法及其在工程管理中的应用

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501656

Chengkun Liu, Rui Ma, Binbin Hu, Qingsong Fan

引用次数: 1

A Study on Ultrasound Nerve Image Segmentation with multi-densely-layer supervision mechanism 基于多层监督机制的超声神经图像分割研究

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501513

Shang Gao

引用次数: 0

Research on differential Positioning technology of mobile Robot based on UWB 基于超宽带的移动机器人差分定位技术研究

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501449

Lei Zheng, Changsheng Ai, Zhengguang Qi, Dunyang Geng, Zhiquan Feng, Honglin Wang

引用次数: 1

An Improved Tightly-Coupled Monocular Visual-Inertial Location Algorithm 一种改进的紧耦合单目视觉惯性定位算法

Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering Pub Date : 2021-10-22 DOI: 10.1145/3501409.3501694

Yiliang Wu, Minghong Chen, Yendo Hu, Xue Bai, Zhipeng Shi, Guanglei Zhuo

{"title":"An Improved Tightly-Coupled Monocular Visual-Inertial Location Algorithm","authors":"Yiliang Wu, Minghong Chen, Yendo Hu, Xue Bai, Zhipeng Shi, Guanglei Zhuo","doi":"10.1145/3501409.3501694","DOIUrl":"https://doi.org/10.1145/3501409.3501694","url":null,"abstract":"Both direct and optical flow visual odometers are based on a strong assumption that the gray scale is invariant. Because of this assumption, the system is sensitive to the luminosity change of the image. To solve this problem, this paper proposes monocular visual-inertial odometry exploiting both multilevel Oriented Fast and Rotated Brief (ORB) feature and tightly-coupled fusion strategy. The purpose of this method is to improve the speed and robustness of matching. Furthermore, it also can build a high-precision initialization map to ensure the successful initialization of the whole system and the smooth operation of the subsequent. This paper pre-integrates Inertial Measurement Unit (IMU) data and constructs constraints with visual reprojection to optimize the solution. The experiments evaluated on public datasets demonstrate the multilevel ORB feature and the IMU fusion make the algorithm more accurate than other excellent projects. Compared with OKVIS and VINS-Mono using the visual and inertial fusion, the algorithm also performs better in the accuracy of state estimation and system robustness.","PeriodicalId":191106,"journal":{"name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127754084","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