2020 IEEE 3rd International Conference on Computer and Communication Engineering Technology (CCET)最新文献_第2页

Mobile Handheld Devices and Embedded in Things Picking System 移动手持设备和嵌入式物品拾取系统

2020 IEEE 3rd International Conference on Computer and Communication Engineering Technology (CCET) Pub Date : 2020-08-01 DOI: 10.1109/CCET50901.2020.9213136

Yuan Haixia, F. Yifan, Qin Xinjing, Huang Guokai

引用次数: 0

Deep Learning in Face Synthesis: A Survey on Deepfakes 人脸合成中的深度学习:深度造假研究综述

2020 IEEE 3rd International Conference on Computer and Communication Engineering Technology (CCET) Pub Date : 2020-08-01 DOI: 10.1109/CCET50901.2020.9213159

Teng Zhang, Lirui Deng, L. Zhang, Xianglei Dang

引用次数: 11

Video-Based Traffic Flow Monitoring Algorithm 基于视频的交通流量监控算法

2020 IEEE 3rd International Conference on Computer and Communication Engineering Technology (CCET) Pub Date : 2020-08-01 DOI: 10.1109/CCET50901.2020.9213115

Yongmei Zhang, Jiarui Zhao, Ying Xiang, Jie Shu

引用次数: 0

Emerging Intention Mining Inspired by Semantic Reconstruction 基于语义重构的新兴意图挖掘

2020 IEEE 3rd International Conference on Computer and Communication Engineering Technology (CCET) Pub Date : 2020-08-01 DOI: 10.1109/CCET50901.2020.9213133

Jiahui Shen, Ji Xiang, Lin Zhao, Lei Wang

{"title":"Emerging Intention Mining Inspired by Semantic Reconstruction","authors":"Jiahui Shen, Ji Xiang, Lin Zhao, Lei Wang","doi":"10.1109/CCET50901.2020.9213133","DOIUrl":"https://doi.org/10.1109/CCET50901.2020.9213133","url":null,"abstract":"Emerging intention mining is the process of identifying the inputs that differ in some respect from the training samples. With the development of artificial intelligence, more and more attention has been paid to data mining. Therefore, methods which can efficiently identify the emerging intentions are needed. However, due to the lack of data for emerging intention, training an end-to-end deep network is a cumbersome task. In this paper, we propose an end-to-end architecture for emerging intention mining which inspired by the success of generative adversarial networks and conditional variational autoencoder (CVAE). Our architecture tries understand the underlying concept of the inputs and then reconstruct them through semantic information. There are two deep networks by Convolutional Neural Networks (CNN). One network works as the semantic information extraction and the other works as the novelty detector. The first network supports the second by enhancing the inlier samples and distorting the outliers. The proposed framework applies to different datasets. The results illustrate that our proposed method learns the target class effectively and is superior to the baseline and state-of-the-art methods.","PeriodicalId":236862,"journal":{"name":"2020 IEEE 3rd International Conference on Computer and Communication Engineering Technology (CCET)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123593717","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

Multiuser Multicarrier Chaotic Differential Communication System Based on Cooperative Model 基于协作模型的多用户多载波混沌差分通信系统

2020 IEEE 3rd International Conference on Computer and Communication Engineering Technology (CCET) Pub Date : 2020-08-01 DOI: 10.1109/CCET50901.2020.9213137

Gong-quan Zhang, Xiao-Hui Li, Xiaoting Chen

引用次数: 1

Painting Style Classification Using Deep Neural Networks 使用深度神经网络的绘画风格分类

2020 IEEE 3rd International Conference on Computer and Communication Engineering Technology (CCET) Pub Date : 2020-08-01 DOI: 10.1109/CCET50901.2020.9213161

V. Kovalev, A. G. Shishkin

引用次数: 1

Implementation for Geological Environment Sub-node Intelligent Search of Geological Cloud 2.0 地质云2.0地质环境子节点智能搜索的实现

2020 IEEE 3rd International Conference on Computer and Communication Engineering Technology (CCET) Pub Date : 2020-08-01 DOI: 10.1109/CCET50901.2020.9213147

Xiaoxia Ren, Z. Huo, Mengxue Zhou, Yueming Xue, M. Yu

引用次数: 0

A Service Performance Aware Scheduling Approach in Containerized Cloud 容器云中服务性能感知调度方法

2020 IEEE 3rd International Conference on Computer and Communication Engineering Technology (CCET) Pub Date : 2020-08-01 DOI: 10.1109/CCET50901.2020.9213084

Han Li, Xinhao Wang, S. Gao, Ning Tong

{"title":"A Service Performance Aware Scheduling Approach in Containerized Cloud","authors":"Han Li, Xinhao Wang, S. Gao, Ning Tong","doi":"10.1109/CCET50901.2020.9213084","DOIUrl":"https://doi.org/10.1109/CCET50901.2020.9213084","url":null,"abstract":"Due to the dynamic and uncertainty of users' demand for services, the resources that services depend on and the relationship between services, ensuring service performance has become a basic requirement of container cloud. There are many factors that affect service performance. Besides taking basic resources for carrying services into consideration, we also considered the delay between services caused by the relationship between services as a factor to ensure service performance, designed a container cloud dynamic monitoring framework for service performance, and proposed a service scheduling method at runtime. The design of framework can monitor service performance from two aspect of basic resources and service performance. The proposed method transforms the performance-based service scheduling problem into a planning problem that is constrained by the usage of basic resources and the delay between services. Furthermore, the proposed method generates the optimal service scheduling scheme effectively through particle swarm optimization algorithm. Compared with K8s scheduling method, the feasibility and effectiveness of this method were verified. Experimental results showed that this method could reduce the delay between services while ensuring the resource utilization and balance of the container cloud environment, so that effectively guarantee the service performance.","PeriodicalId":236862,"journal":{"name":"2020 IEEE 3rd International Conference on Computer and Communication Engineering Technology (CCET)","volume":"63 1-4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132655359","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: 6

Water Level Monitoring and Evacuation Guideline Using Ant Colony Optimization on Mobile Application 移动应用中基于蚁群优化的水位监测与疏散指南

2020 IEEE 3rd International Conference on Computer and Communication Engineering Technology (CCET) Pub Date : 2020-08-01 DOI: 10.1109/CCET50901.2020.9213154

W. Kimpan, Sirawich Kasetvetin, C. Kimpan

{"title":"Water Level Monitoring and Evacuation Guideline Using Ant Colony Optimization on Mobile Application","authors":"W. Kimpan, Sirawich Kasetvetin, C. Kimpan","doi":"10.1109/CCET50901.2020.9213154","DOIUrl":"https://doi.org/10.1109/CCET50901.2020.9213154","url":null,"abstract":"The most natural disasters that have happened in Thailand are storm and flood problems. The people who live near water sources have no warning about the overflowing of water nearby, so they cannot evacuate or get help in time. Thus, there is always a high risk of losing properties or lives. In order to alleviate the losses, this paper proposes water level monitoring on Android application from Internet of Things devices and the guideline for evacuation by applying Ant Colony Optimization which is inspired by the real ant colony. Internet of Things devices are used to monitor the water levels in community for the user who lives near the water sources or near the places which have high risk of flooding. The Hydrostatic level sensors are placed in the water basin near the community to measure the height of the water which can also be observed in real time from mobile application. When the height of the water reaches the critical value that was set in the application, it sends notifications to the user. Moreover, Line bot is used to let the user knows the potential risks from rising water levels. At the critical level, the user needs to evacuate to a safe place located nearby. The application will guide the user to follow the direction to the most safety destination. In case of many people are already evacuated in one place and it reached the maximum amount of limitation, the application will change the recommendation direction to other places nearby using Ant Colony Optimization algorithm for making decisions.","PeriodicalId":236862,"journal":{"name":"2020 IEEE 3rd International Conference on Computer and Communication Engineering Technology (CCET)","volume":"54 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133531972","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 Encrypted Traffic Classification Based on Secondary Voting Enhanced Random Forest 基于二次投票增强随机森林的网络加密流量分类

2020 IEEE 3rd International Conference on Computer and Communication Engineering Technology (CCET) Pub Date : 2020-08-01 DOI: 10.1109/CCET50901.2020.9213165

Gaofeng Lv, Rongjia Yang, Yupeng Wang, Z. Tang

引用次数: 1