2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)最新文献_第6页

A SDN Data Plane Abnormal State Detection Method Based on Flow Rules Analyzing 基于流规则分析的SDN数据平面异常状态检测方法

2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/ICCEIC51584.2020.00035

Wenbin Zhang, Qiang Wei, Zehui Wu, Yunchao Wang

{"title":"A SDN Data Plane Abnormal State Detection Method Based on Flow Rules Analyzing","authors":"Wenbin Zhang, Qiang Wei, Zehui Wu, Yunchao Wang","doi":"10.1109/ICCEIC51584.2020.00035","DOIUrl":"https://doi.org/10.1109/ICCEIC51584.2020.00035","url":null,"abstract":"As a new network architecture, Software Defined Networking (SDN) controls the network by software programming, which improves the flexibility of network configuration. However, the attack surface of SDN is larger than the traditional network. The three planes and the two channels all have vulnerability points, among which the attacks against the data plane are particularly critical. The attacks will interfere with the normal data forwarding behavior, resulting in the failure of the whole network data transmission. In this paper, a data plane abnormal behavior detection method based on flow rule analyzing is proposed. First, the characteristics of flow rules in terms of quantity, conflict and abnormal behaviors are extracted and analyzed, then a data plane abnormal state model is constructed, and finally, detection algorithm is used to detect abnormal behaviors, to assess whether the data plane state is safe. The experimental results show that the proposed method can accurately detect the data plane state anomalies. Compared with NetPlumber, our method can not only detect flow rule conflicts, but also detect the abnormal change trend in quantity of flow rules and malicious forwarding and packet loss caused by attacks.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123374981","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

White Blood Cell Segmentation Based on Visual Attention Mechanism and Model Fitting 基于视觉注意机制和模型拟合的白细胞分割

2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/icceic51584.2020.00017

Haonan Zheng, Xiaogen Zhou, Jing Li, Qinquan Gao, T. Tong

引用次数: 4

Influence and Enlightenment of the Sharing Economy on Chinese Entrepreneurs 共享经济对中国企业家的影响与启示

2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/icceic51584.2020.00033

Xiaohong Xiao, Zheng Zhou, Qinghong Tian

{"title":"Influence and Enlightenment of the Sharing Economy on Chinese Entrepreneurs","authors":"Xiaohong Xiao, Zheng Zhou, Qinghong Tian","doi":"10.1109/icceic51584.2020.00033","DOIUrl":"https://doi.org/10.1109/icceic51584.2020.00033","url":null,"abstract":"Today, the sharing economy has become a popular topic in academic and practical fields. Moreover, how entrepreneurs embark on the proper paths to start their businesses amid the sharing economy has fueled experts' exploration efforts. This article first teases out the connotation of the sharing economy and its present situation in China. Then, the influence of the sharing economy on contemporary Chinese entrepreneurs is analyzed from the perspective of opportunities and challenges. Finally, the enlightenment of the sharing economy on entrepreneurs is summarized, including the enhanced cooperation between the government and the platforms and the joint work done to build a credit system; strengthened human resource management, which transforms this management style from hiring to sharing; the combination of online and offline to increase user coherency; and the integration with multi-brands and multi- industries to meet the needs of different consumers. This paper can assist Chinese entrepreneurs in deepening the understanding of the sharing economy and offers theoretical and practical value for entrepreneurship in this field to effectively start businesses.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134519159","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

Automatic Optimization of super Parameters Based on Model Pruning and Knowledge Distillation 基于模型剪枝和知识蒸馏的超参数自动优化

2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/ICCEIC51584.2020.00030

Min Wu, Weihua Ma, Yue Li, Xiongbo Zhao

{"title":"Automatic Optimization of super Parameters Based on Model Pruning and Knowledge Distillation","authors":"Min Wu, Weihua Ma, Yue Li, Xiongbo Zhao","doi":"10.1109/ICCEIC51584.2020.00030","DOIUrl":"https://doi.org/10.1109/ICCEIC51584.2020.00030","url":null,"abstract":"In recent years, deep neural network has been widely used in computer vision, speech recognition and other fields. However, to obtain better performance, it needs to design a network with higher complexity, and the corresponding model calculation amount and storage space are also increasing. At the same time, the computing resources and energy consumption budget of mobile devices are very limited. Therefore, model compression is very important for deploying neural network models on mobile devices. Knowledge distillation technology based on transfer learning is an effective method to realize model compression. This study proposes: the model pruning technology is introduced into the student network design of knowledge distillation, and the super parameters (temperature T, scale factor λ, pruning rate ϒ) are automatically optimized, and the optimal combination of parameters is selected as the final value according to the final performance. The results show that, compared with the commonly used pruning techniques, this method can effectively improve the accuracy of the network without increasing the network size, and the network performance can be further improved by adjusting the value of super parameters.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123342705","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 the Rendering Method of Metal Wire Based on Virtual Reality 基于虚拟现实的金属丝绘制方法研究

2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/icceic51584.2020.00016

Jintao Liu

{"title":"Research on the Rendering Method of Metal Wire Based on Virtual Reality","authors":"Jintao Liu","doi":"10.1109/icceic51584.2020.00016","DOIUrl":"https://doi.org/10.1109/icceic51584.2020.00016","url":null,"abstract":"Relying on the gradual deepening of computer technology research and the widespread application of Internet technology, virtual reality, or VR for short, has also gradually emerged. Applying virtual reality to many traditional industries can bring new directions for the development of traditional industries. Among them, immersive virtual reality is more favored by people because of its good sense of bringing in experience. In terms of metal wire rendering method research, it is combined with virtual reality technology to continuously meet people's requirements. This paper proposes a 3D cloud modeling method with strong artistic controllability. Artists use modeling tools to generate 3D cloud external contours. The contours are preprocessed by spatial subdivision to obtain the 3D cloud spatial distribution represented by a 3D grid. In terms of 3D cloud rendering, the 3D cloud model represented by the grid is converted into a particle space representation, and the improved forward multi-directional scattering illumination method is used to calculate the illumination and coloring of the cloud, which realizes the dynamic real-time illumination of the 3D cloud based on particles. The controllability of the three-dimensional cloud shape and the dynamic lighting based on physics effectively solve the problem of combining wire rendering and virtual reality technology.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127345172","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

Review on improved algorithms based on ICP algorithm 基于ICP算法的改进算法综述

2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/icceic51584.2020.00043

Xueyao Jiang, Mingzhe Liu, Yao Huang, Rui Luo

引用次数: 0

Multi-person Collaborative Hoisting Training System Based on Mixed Reality 基于混合现实的多人协同起重训练系统

2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/icceic51584.2020.00056

Taojin Li, Songgui Lei, Wei Wang, Qingli Wang

{"title":"Multi-person Collaborative Hoisting Training System Based on Mixed Reality","authors":"Taojin Li, Songgui Lei, Wei Wang, Qingli Wang","doi":"10.1109/icceic51584.2020.00056","DOIUrl":"https://doi.org/10.1109/icceic51584.2020.00056","url":null,"abstract":"In the early stage of hoisting training, virtual hoisting training equipment is often used to avoid safety accidents caused by lack of experience. However, there are some problems in the existing virtual training equipment, such as single interaction mode, limited viewing angle, and the system that is not portable. To solve the problems, a multi-person cooperative hoisting training system based on mixed reality is proposed in this paper. To ensure the accuracy of the virtual model, on the basis of collecting a large number of actual data, the system employs Pro/E software to carry out 3D accurate modeling of the box hoisting cart. In an effort to ensure the positioning accuracy of the holographic virtual model, the system firstly adopts image recognition method for initial positioning, SLAM algorithm for real-time positioning, and spatial anchor point for accurate positioning. In order to solve the problem of multi-person cooperative training, the system adopts the hardware composition of a server, a plurality of mixed reality intelligent glasses, a wireless router and so on, and uses gesture interaction and wireless analog controller interaction to realize efficient human-machine interaction. Via comparative experiments, it is proved that the system can greatly improve the operation level of operators and is of use value.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130382503","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

External Reflection Recognition for Glass Walls Surface 玻璃墙表面的外反射识别

2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/icceic51584.2020.00024

Yongbin Wei, S. Zhi, Shi Liu

引用次数: 0

Design and Implementation of Visual Detection System for Driving Environment 驾驶环境视觉检测系统的设计与实现

2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/ICCEIC51584.2020.00041

Xuhao Wang

{"title":"Design and Implementation of Visual Detection System for Driving Environment","authors":"Xuhao Wang","doi":"10.1109/ICCEIC51584.2020.00041","DOIUrl":"https://doi.org/10.1109/ICCEIC51584.2020.00041","url":null,"abstract":"With the growth of car ownership, traffic safety problems become more and more serious. Traditional passive safety measures can only reduce losses, but fail to effectively avoid occurrence of traffic accidents in driving. Aiming at deficiencies in traditional target detection methods, this paper uses a deep learning based target detection method on an established driving environment dataset, so as to realize recognition and positioning of road moving targets under complicated road conditions. In addition, this paper analyzes and verifies the feasibility of the method for detection and classification of different targets in the driving environment, and compares the detection speed and accuracy of different target detection algorithms. Based on the analysis of experimental results, a detection method based on OHEM (Online Hard Example Mining) Algorithm and combined with Faster R-CNN is proposed. It has been verified in the experiment that, the improved algorithm of OHEM + Faster R-CNN proposed in this paper prevails over YOLOv3 in detection efficiency of small targets. Its recognition accuracy for larger targets remains over 90%, and mAP reaches up to 0.906.","PeriodicalId":135840,"journal":{"name":"2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC)","volume":"123 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120893528","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

A New Hybrid Differential Particle Swarm Optimization Algorithm and Application 一种新的混合微分粒子群优化算法及其应用

2020 International Conference on Computer Engineering and Intelligent Control (ICCEIC) Pub Date : 2020-11-01 DOI: 10.1109/ICCEIC51584.2020.00039

Pei Xiao-gen

引用次数: 1