ICCCBDA 2019

April 12-15, 2019 // Chengdu, China

 

由四川省电子学会和IEEE主办,西华大学、西南交通大学等提供支持的2019年第四届IEEE云计算与大数据分析国际会议于2019年4月12日至15日在成都西藏饭店顺利召开。来自中国,韩国,日本,美国,英国,俄罗斯,印度,巴基斯坦等国家和地区的共计139名代表出席会议。

 

News report about ICCCBDA 2019 fromSIE | 主办方四川省电子学会关于 ICCCBDA 2019 会后新闻报道.  Click
News report about ICCCBDA 2019 from Sichuan Association for Science and Technology | 四川省科学技术协会关于 ICCCBDA 2019 会后新闻报道.  Click
Institute of Semiconductors, CAS recommends ICCCBDA 2019 | 感谢中国科学院半导体研究所对ICCCBDA 2019会议推荐 Click

 

会议以云计算与大数据为主题,为从事相关技术研究的专家、学者和专业技术人员搭建了一个高水准的国际平台,促进云计算与大数据分析等领域的学术交流与合作。会议由大会主席、西华大学费凌副校长致辞。大会邀请了美国中央密歇根大学林恩斌教授, 加拿大阿萨巴斯卡大学谭青副教授,西南交通大学李天瑞教授就云计算与大数据分析的发展作了主题报告。会议设置了12个分会场,与会代表分别就数据处理技术与方法,大数据分析与建模,云计算与云存储等专题,结合个人自身研究情况,进行了深入交流。
会议投稿论文经专家审核,所有收录的论文会出版到由IEEE出版的ICCCBDA2019的会议论文集中,并被 Scopus 以及EI核心检索。
会议为研究人员、工程师、学者以及来自世界各地的专业人士提供一个交流的平台,大会安排了与会代表参观了本土企业成都四方伟业软件股份有限公司,并与他们进行了面对面交流。

Host: Dr. Jianhong Zhou, Xihua University
Morning Session on April 13, 2019
费凌, 教授, 副校长, 西华大学
En-Bing Lin, Central Michigan University, USA
Tianrui Li, Southwest Jiaotong University
李天瑞, 教授, 西南交通大学
Prof. Qing Tan, Athabasca University, Canada
Morning Session on April 13, 2019
Morning Session on April 13, 2019
 
Visiting to SefonSoft Company
 
Group Photo of ICCCBDA 2019 in Chengdu
   
 
   
 

 

Excellent Oral Presentations

Improvement of Chatbot in Trading System for SMEs by Using Deep Neural Network
Sathit Prasomphan, King Mongkut’s University of Technology North Bangkok, Thailand


Thermal-stress analysis of 3D-IC based on Artificial Neural Network
Xue Yang, Hohai University, China


Face liveliness detection based on texture and color features
Li Song, Beijing Institute of Technology, China


A Feature Extraction Method for Daily-periodic Time Series Based on AETA Electromagnetic Disturbance Data
Bohang Li, Peking University Shenzhen Graduate School, China


Multi-objective Ant Colony Optimization for Production Line Balance and Dynamic Complexity
Edward Ko Wah LAW, The Hong Kong Polytechnic University, Hong Kong, China


Joint Optimization of Resource Allocation and Service Performance in vEPC Using Reinforcement Learning
Yunjie Gu, National Digital Switching System Engineering and Technological R&D Center(NDSC), China


Big Data Forecasting Model of Indoor Positions for Mobile Robot Navigation Based on Apache Spark Platform
Hui Liu, Central South University, China


Prediction of Business User Segmentation Model Based on Customer Value
Siyue Lu, State Grid Beijing Electric Power Research Institute, China


Data Stream Controlling in Communication Channels with Noise
Farruh Kushnazarov, EMPEROR ALEXANDER I ST. PETERSBURG STATE TRANSPORT UNIVERSITY, Russia

Heterogeneous network representation learning method based on meta-path
Ying Yin, National Digital Switching System Engineering & Technology Research Center, China

An Infrastructure of Multi – pollutant Air Quality Deterioration Early Warning System in Spark Platform
Presenter: Dong-Her Shih, National Yunlin University of Science & Technology, Taiwan, China

Constrained Optimal Designs for Step-stress Accelerated Life Testing Experiments
Presenter: Xiaojian Xu, Brock University, Canada

Winners of Excellent Oral Presentation

     
     
     
     


Group Photo of Parallel Sessions