Proceedings of the 4th International Conference on Computer Science and Application Engineering最新文献_第5页

Highly Reliable Autonomous Redundancy for Automatic Control on Ground Test and Launch Facilities in Launch Site 发射场地面试验和发射设施自动控制的高可靠自主冗余

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425057

Mengyuan Li, Shanshan Xie, Nan Xiao, Litian Xiao

{"title":"Highly Reliable Autonomous Redundancy for Automatic Control on Ground Test and Launch Facilities in Launch Site","authors":"Mengyuan Li, Shanshan Xie, Nan Xiao, Litian Xiao","doi":"10.1145/3424978.3425057","DOIUrl":"https://doi.org/10.1145/3424978.3425057","url":null,"abstract":"The control systems of ground test and launch facilities in space launch sites generally include field control systems, remote control systems, field controller, emergency controller, and actuators. Unattended and remote control are gradually adopted during testing and launching. We propose the highly reliable redundancy scheme of remote automatic control. Architecture and the corresponding strategy are designed for the hierarchical redundant control of the launch site. The remote host computers of the architecture are industrial control computers configured in parallel redundancy. The slave computers are redundant programmable logic controllers (PLC). The industrial control network of the architecture consists of a double redundant backup network, which set up a double set of the emergency backup circuit. PLCs and industrial control computers communicate with the industrial Ethernet of high-speed ring optical fiber. Distributed control equipment such as field slave computers and variable-frequency drives communicate and transmit data by means of the industrial Ethernet. Relay contacts are designed as a redundant loop with two points and two lines. The scheme designs and discusses the policies and work patterns of intelligent autonomous redundancy. The paper also presents the key points of intelligent redundancy solution and reliability enhancement. The proposed intelligent redundancy scheme has been applied in China space launch sites.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130842056","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

Weighted Local Feature Vehicle Re-identification Network 加权局部特征车辆再识别网络

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425156

Linghui Li, Yan Xu, Xiaohui Zhang

引用次数: 2

Free Growth and Diffusion of Water Hyacinth Based on Logistic-CA and Differential Equations 基于Logistic-CA和微分方程的水葫芦自由生长和扩散

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425127

Zibo Zhou, Jie Li, Yan Wang, Jing Qiu, Xuecong Zhang, Can Zu, Meijia Guo

引用次数: 1

Nonlinear Function Optimization Based on Adaptive Genetic Algorithm 基于自适应遗传算法的非线性函数优化

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3424981

Lihua Lei, Naijin Liu, Ju Zhou

引用次数: 0

Antenna Selection for MIMO-NOMA-based Hybrid Satellite-terrestrial Relay Network 基于mimo - nomo的卫星-地面混合中继网络天线选择

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425025

Long Zhao, Tao Liang, K. An

引用次数: 0

Application Prospect of Artificial Intelligence Technology Basted on the Large Call Center 基于大型呼叫中心的人工智能技术应用前景

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425012

Qiong Qian, Haifeng Yan, Zhenghui Wang

引用次数: 2

3D Imaging Techniques for Forensic Identification of Human Images 人体图像法医鉴定的3D成像技术

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425104

Jinhua Zeng, Xiulian Qiu, Shaopei Shi, Xinwei Bian, Huaping Zhu

{"title":"3D Imaging Techniques for Forensic Identification of Human Images","authors":"Jinhua Zeng, Xiulian Qiu, Shaopei Shi, Xinwei Bian, Huaping Zhu","doi":"10.1145/3424978.3425104","DOIUrl":"https://doi.org/10.1145/3424978.3425104","url":null,"abstract":"Traditional techniques on forensic identification of human images are more focused on the inspection and analysis of two-dimensional images, while 3D imaging has been around in some form for decades. In this paper, we use the 3D imaging techniques as a new solution for forensic human image identification. The 3D imaging will provide one more dimension information for forensic examination of human images. Firstly, we introduce a dimension classification theory to forensic identification of human images for the first time, namely, the two-dimension, quasi-3D, and three dimension based forensic human image identification techniques. We describe 3D imaging techniques for human being and the new 3D imaging based forensic human identification techniques are discussed, which will provide more intuitive human identity information perception experience in the visual examination for experts, and offer more dimensional individual information and visual angles for feature comparison. Moreover, the more detailed and precise visual features will be available for forensic identification of human images. With the increasingly maturity of the 3D imaging techniques, the dimensional innovation of techniques in the field of forensic identification of human images will be increasingly improved, and the accuracy of forensic identification of human images will be more comprehensively guaranteed.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134112907","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

Similarity Measurement Based on Non-linear Hash Coding 基于非线性哈希编码的相似性度量

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425103

Jinjin Zhu, Yaping Cai

引用次数: 0

An Optimal Design Method of Conv2d Operator for TensorFlow Based on FPGA Accelerator 基于FPGA加速器的TensorFlow Conv2d算子优化设计方法

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3424987

Rengang Li, Hongwei Kan, Dongdong Su, Yanwei Wang, Hongbo Zhao, Peilin Tong

{"title":"An Optimal Design Method of Conv2d Operator for TensorFlow Based on FPGA Accelerator","authors":"Rengang Li, Hongwei Kan, Dongdong Su, Yanwei Wang, Hongbo Zhao, Peilin Tong","doi":"10.1145/3424978.3424987","DOIUrl":"https://doi.org/10.1145/3424978.3424987","url":null,"abstract":"Currently, TensorFlow architecture only supports CPU and GPU programming, and has not yet formed a unified support standard for FPGAs. To the best of our knowledge, when forward operators in TensorFlow specifies a new device, the backward gradient operator in the same neural network cannot use the same device, which does not comply with rules about node device allocation in TensorFlow. Therefore, we propose an improved algorithm for node device allocation based on placement mechanism and an optimization algorithm for conv2d operator based on OpenCL. The proposed improved algorithm for node device allocation makes forward and backward operators based on FPGA accelerator satisfy the node and device allocation requirements for all TensorFlow operators, and the conv2d operator optimization algorithm based on OpenCL takes full advantage of the parallel computing advantages of FPGA. Finally, this paper uses the CNN LeNet5 model and the MNIST dataset to conduct corresponding experiments. Referring to conv2d operator, based on FPGA accelerator, we implement both the forward and backward operators involved in the first four layers of the model. The experimental results show that the accuracy of the three methods is above 98%. Compared with CPU and GPU, the accuracy difference is only about five thousandths. In addition, in the case of different batch sizes, we tested the runtime of conv2d operator in the first layer of this model. The results show that when the input batch size increased to 10000, the FPGA runs 9 times faster than the CPU. It proved that we proposed an optimization solution for TensorFlow to use FPGA operators for neural network calculations.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128426354","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

Research on Forward-looking Ranging Algorithm of Missile-borne Phased Array Detector Based on Pulse Compression 基于脉冲压缩的弹载相控阵探测器前视测距算法研究

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425034

Xude Cheng, Xuedong Xue, Jing Zhang, Shuai Zhang, Jian Qin

引用次数: 0