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CCIOTC 2019第四届云计算与物联网技术大会(南京)

[导读] 2019第四届云计算与物联网技术大会(CCIOTC2019)为广大计算机科学研究领域的学者、专家提供交流平台,会议组委会诚邀全球相关领域的学者、专家参加此次国际会议,就云计算与物联网技术为主题的相关热点问题进行探讨、交流,共同促进全球计算机科学研究的进步与发展。

CCIOTC 2019第四届云计算与物联网技术大会(南京)

JdE申城之窗-上海门户网站-上海专业网络媒体

JdE申城之窗-上海门户网站-上海专业网络媒体

会议时间:2019-08-12 08:00至 2019-08-14 18:00结束JdE申城之窗-上海门户网站-上海专业网络媒体

会议地点: 南京  详细地址会前通知  JdE申城之窗-上海门户网站-上海专业网络媒体

会议规模:暂无JdE申城之窗-上海门户网站-上海专业网络媒体

主办单位:上海来溪会务服务有限公司JdE申城之窗-上海门户网站-上海专业网络媒体

推荐会议:GMIC 2019 广州 全球移动互联网大会(超序之美)JdE申城之窗-上海门户网站-上海专业网络媒体

发票类型:增值税普通发票领取方式:会后快递 现场领取 发票内容: 会议费 参会凭证:现场凭电话姓名参会
门票名称单价截止时间数量
C票早鸟票 

JdE申城之窗-上海门户网站-上海专业网络媒体

¥1600.0 
原价:¥1800.00
2019-07-24 00:00

JdE申城之窗-上海门户网站-上海专业网络媒体

C票团购早鸟票(>=6) 

JdE申城之窗-上海门户网站-上海专业网络媒体

¥1440.0 
原价:¥1800.00
2019-07-24 00:00
C票团购早鸟票(>=10) 

JdE申城之窗-上海门户网站-上海专业网络媒体

¥1280.0 
原价:¥1800.00
2019-07-24 00:00
D票早鸟票 

JdE申城之窗-上海门户网站-上海专业网络媒体

¥2000.0 
原价:¥2200.00
2019-07-24 00:00
D票团购早鸟票(>=6) 

JdE申城之窗-上海门户网站-上海专业网络媒体

¥1800.0 
原价:¥2200.00
2019-07-24 00:00
D票团购早鸟票(>=10) 

JdE申城之窗-上海门户网站-上海专业网络媒体

¥1600.0 
原价:¥2200.00
2019-07-24 00:00

合计: ¥1600.00 JdE申城之窗-上海门户网站-上海专业网络媒体

我要报名


JdE申城之窗-上海门户网站-上海专业网络媒体

 会议介绍


JdE申城之窗-上海门户网站-上海专业网络媒体

QQ截图20190707172836.jpgJdE申城之窗-上海门户网站-上海专业网络媒体

JdE申城之窗-上海门户网站-上海专业网络媒体

CCIOTC 2019第四届云计算与物联网技术大会(南京)宣传图JdE申城之窗-上海门户网站-上海专业网络媒体

2019第四届云计算与物联网技术大会(CCIOTC2019)为广大计算机科学研究领域的学者、专家提供交流平台,会议组委会诚邀全球相关领域的学者、专家参加此次国际会议,就云计算与物联网技术为主题的相关热点问题进行探讨、交流,共同促进全球计算机科学研究的进步与发展。JdE申城之窗-上海门户网站-上海专业网络媒体

2019第四届云计算与物联网技术大会将于2019年8月12-14日在中国南京召开。南京,简称宁,是江苏省会,地处中国东部地区,长江下游,濒江近海。“江南佳丽地,金陵帝王州”,南京拥有着6000多年文明史、近2600年建城史和近500年的建都史,是中国四大古都之一,有“六朝古都”、“十朝都会”之称,是中华文明的重要发祥地,历史上曾数次庇佑华夏之正朔,长期是中国南方的政治、经济、文化中心,拥有厚重的文化底蕴和丰富的历史遗存。JdE申城之窗-上海门户网站-上海专业网络媒体


JdE申城之窗-上海门户网站-上海专业网络媒体

 会议日程


即将更新,敬请期待JdE申城之窗-上海门户网站-上海专业网络媒体


JdE申城之窗-上海门户网站-上海专业网络媒体

 会议嘉宾(最终出席嘉宾以会议现场为准)


CCIOTC2019演讲嘉宾信息如下:JdE申城之窗-上海门户网站-上海专业网络媒体

JdE申城之窗-上海门户网站-上海专业网络媒体

JdE申城之窗-上海门户网站-上海专业网络媒体

JdE申城之窗-上海门户网站-上海专业网络媒体

Dr. Mohd Afizi Mohd Shukran, Associate ProfessorJdE申城之窗-上海门户网站-上海专业网络媒体

Faculty of Science and Defence Technolog, Department of Computer Science, Universiti Pertahanan Nasional Malaysia, MalaysiaJdE申城之窗-上海门户网站-上海专业网络媒体

Biography: Dr. Mohd Afizi Mohd Shukran, currently an Associate Professor in Department of Computer Science in Universiti Pertahanan Nasional Malaysia (UPNM). He has several research experiences including 60 published journals and over 40 proceedings. Also, he has several computer science professional certifications such as MCSE, MCSA and ENSA. About education backgrounds, he obtained the bachelor degree in Information System from Melbourne University, Australia. Then he got his Master of Information Technology and Doctor of Philosophy (PhD) in Sydney University, Australia.JdE申城之窗-上海门户网站-上海专业网络媒体

Topic: Information Retrieval in Internet of Things (IoT)JdE申城之窗-上海门户网站-上海专业网络媒体

Abstract: Information retrieval (IR) involves solving problems by analysing data already present in databases. Due to the explosive growth of both business and scientific databases, extracting efficient classification rules from such databases has become an important task. This is because IR technique is an important form of knowledge extraction and can help to make key decisions. Nevertheless, classification technique can be improved by integrating the latest technology, namely, Swarm Intelligence. This study proposes two types of IR techniques: Artificial Bee Colony, and Intelligent Dynamic Swarm, which are both based on Swarm Intelligence. This is because Swarm Intelligence has the capability to adapt well in changing environments and is immensely flexible and robust. The first swarm based classifier involves using the advantages of Artificial Bee Colony as an optimization tool to do the data classification. This proposed Artificial Bee Colony based classifier has been implemented to the Anomaly based Network Intrusion Detection System. To our knowledge, it is the first time that the Artificial Bee Colony technique has been applied to solve the network intrusion detection problem. Another swarm based IR that has been proposed in this study is a novel Intelligent Dynamic Swarm, which is based on Particle Swarm Optimization. Unlike a conventional Particle Swarm Optimization algorithm, this novel algorithm can directly cope with discrete variables. In addition, Intelligent Dynamic Swarm can successfully avoid premature convergence, which is considered a serious drawback of traditional Particle Swarm Optimization. These two proposed new swarm based data classification algorithms have been evaluated using the UCI data set, KDD-99 datasets developed by MIT Lincoln Labs, and the pre-processed image data. The experimental results showed that both the Intelligent Dynamic Swarm are robust and able to achieve high IR accuracy in a changing environment within the data instances. Therefore, proposed IR can provide a promising direction for solving complex problems that may not be solved by traditional approaches.JdE申城之窗-上海门户网站-上海专业网络媒体

JdE申城之窗-上海门户网站-上海专业网络媒体

JdE申城之窗-上海门户网站-上海专业网络媒体

JdE申城之窗-上海门户网站-上海专业网络媒体

Dr. Yun Tian, Assistant ProfessorJdE申城之窗-上海门户网站-上海专业网络媒体

Department of Computer Science, Eastern Washington University, USAJdE申城之窗-上海门户网站-上海专业网络媒体

Biography: Dr. Yun Tian currently works for the Department of Computer Science at Eastern Washington University as an Assistant Professor. Dr. Tian’s research interests include Grid and Cloud computing, parallel computing, GPGPU computing and Big Data. He published more than ten papers in the last five years in the fields of cloud computing, parallel and distributed computing on prestigious venues, such as IEEE Big Data Congress, Journal of Parallel and Distributed Computing, Journal of Microprocessors and Microsystems and so on. Dr. Tian is a reviewer for numerous famed journals or conferences.JdE申城之窗-上海门户网站-上海专业网络媒体

Topic: Interactively and Remotely Visualize Large 3-D Terrain Data Stored in the CloudJdE申城之窗-上海门户网站-上海专业网络媒体

Abstract: In this work, we design and implement a visualization system which enables scientists in an internet browser to interactively and remotely visualize 3-Dimensional terrain features at any location of interest on a multi-resolution 3-Dimensional map. The proposed system primarily consists of two components, including a client rendering engine and a group of high-performance servers that prefetch the interested tile of the 3D terrain data, decodes the data title, then forwards the data title to a requesting client. Runs on a AWS EC2 virtual machine, each high-performance server, corresponding to one of the sixteen zoom levels of the 3D terrain data, is able to accommodate hundreds of client requests in parallel. The proposed system is designed to improve the research environments and methodologies in geology and environmental sciences. For example, a geologist might explore the surrounding terrain of a hydroelectric dam when making an evacuation plan for an earthquake.JdE申城之窗-上海门户网站-上海专业网络媒体


JdE申城之窗-上海门户网站-上海专业网络媒体

 参会指南


参会费用(只参会不投稿)JdE申城之窗-上海门户网站-上海专业网络媒体

票务类别包含内容2019年7月23日前缴费2019年7月23日后缴费
C票参会+会议资料+礼品+旅游1600元1800元
D票参会+会议资料+礼品+旅游
+午餐+欢迎晚宴
2000元2200元


参会费用所含内容说明:JdE申城之窗-上海门户网站-上海专业网络媒体

参会:听取会议主会场报告及分会场报告;JdE申城之窗-上海门户网站-上海专业网络媒体

午餐和欢迎晚宴:会议期间的午餐及欢迎晚宴(仅D票C票需参会者自理餐费;如需现场购买,标准为: 午餐200元,晚宴200元);JdE申城之窗-上海门户网站-上海专业网络媒体

会议资料:胸牌,程序手册,纸质期刊两本(作者文章所发表的一期的纸质版,国内邮寄免费,国外邮寄需加收邮费)等;JdE申城之窗-上海门户网站-上海专业网络媒体

礼品:会议精美纪念礼品一份;JdE申城之窗-上海门户网站-上海专业网络媒体

旅游:南京一日游,缴费的参会者在会后可享受免费旅游(如不参加旅游,无退费)。JdE申城之窗-上海门户网站-上海专业网络媒体

团体购票6张及以上可享9折优惠;JdE申城之窗-上海门户网站-上海专业网络媒体

团体购票10张及以上可享8折优惠。JdE申城之窗-上海门户网站-上海专业网络媒体


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