1. <code id="hkh8t"></code>
          <thead id="hkh8t"></thead>

            <output id="hkh8t"><ruby id="hkh8t"><div id="hkh8t"></div></ruby></output>
            <thead id="hkh8t"><sup id="hkh8t"></sup></thead>
            1. <acronym id="hkh8t"><ruby id="hkh8t"></ruby></acronym>
              • 参会报名
              • 会议介绍
              • 会议日程
              • 会议嘉宾
              • 参会指南
              • 邀请函下载

              首页 > 商务会议 > IT互联网会议 > CCIOTC 2019第四届云计算与物联网技术大会(南京) 更新时间:2019-05-20T14:58:30

              CCIOTC 2019第四届云计算与物联网技术大会(南京)
              收藏5人
              分享到

              CCIOTC 2019第四届云计算与物联网技术大会(南京)

              会议时间:2019-08-12 08:00至 2019-08-14 18:00结束

              会议地点: 南京  详细地址会前通知  

              会议规模:暂无

              主办单位: 上海来溪会务服务有限公司

              推荐会议:MOSEC 移动安全技术峰会

              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 参会+会议资料+礼品+旅游 ¥1600.0
              原价?#28023;?800.00
              2019-07-24 00:00
              C票团购早鸟票(>=6) 参会+会议资料+礼品+旅游 ¥1440.0
              原价?#28023;?800.00
              2019-07-24 00:00
              C票团购早鸟票(>=10) 参会+会议资料+礼品+旅游 ¥1280.0
              原价?#28023;?800.00
              2019-07-24 00:00
              D票早鸟票 参会+会议资料+礼品+旅游+午餐+欢迎晚宴 ¥2000.0
              原价?#28023;?200.00
              2019-07-24 00:00
              D票团购早鸟票(>=6) 参会+会议资料+礼品+旅游+午餐+欢迎晚宴 ¥1800.0
              原价?#28023;?200.00
              2019-07-24 00:00
              D票团购早鸟票(>=10) 参会+会议资料+礼品+旅游+午餐+欢迎晚宴 ¥1600.0
              原价?#28023;?200.00
              2019-07-24 00:00

              会议介绍

              会议内容 主办方介绍


              CCIOTC 2019第四届云计算与物联网技术大会(南京)

              CCIOTC 2019第四届云计算与物联网技术大会(南京)宣传图

              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?#21335;?#20851;热点问题进行探讨、交流,?#39184;?#20419;进全球计算机科学研究的进步与发展。

              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?#20445;?#21335;京拥有着6000多年文明史、近2600年建城史和近500年的建?#38469;罰?#26159;中国四大古都之一,有“六朝古都”、“十朝都会”之称,是?#35874;?#25991;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?#34892;模?#25317;有厚重的文化底蕴和丰富的历史遗存。

              查看更多

              上海来溪会务服务有限公司 上海来溪会务服务有限公司

              上海来溪会务服务公司,是一家专业的会务服务公司。以举办国际学术会议为主要业务,涉及会议推广、会议合作、会议组织等。旗下huiyi123.net平台致力于国际学术会议服务,旨在为国内外科?#35874;?#26500;、科?#22411;?#38431;提供学术会议交流,学术论文出版,酒店预订等会务服务。

              会议日程


              即将更新,敬请期待

              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:

              Dr. Mohd Afizi Mohd Shukran, Associate Professor

              Faculty of Science and Defence Technolog, Department of Computer Science, Universiti Pertahanan Nasional Malaysia, Malaysia

              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.

              Topic: Information Retrieval in Internet of Things (IoT)

              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.

              Dr. Yun Tian, Assistant Professor

              Department of Computer Science, Eastern Washington University, USA

              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.

              Topic: Interactively and Remotely Visualize Large 3-D Terrain Data Stored in the Cloud

              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.

              查看更多

              参会指南

              会议门票


              参会费用(只参会不投稿)

              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:

              参会:听取会议主会场报告及分会场报告;

              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?#22025;?午餐200元,晚宴200元);

              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;

              礼品:会议精美纪念礼品一份;

              旅游:南京一日游,缴费的参会者在会后?#19978;?#21463;免费旅游(如不参加旅游,无退费)。

              团体购票6张及以上?#19978;?折优惠;

              团体购票10张及以上?#19978;?折优惠。

              查看更多

              温馨提示
              酒店与住宿: 为防止极端情况下活动延期或取消,建议“异地客户”与活动家客服确认参会信息后,再安排出行与住宿。
              退款规则: 活动各项资源需提前采?#28023;?#36141;票后不支持退款,可以换人参加。

              活动家为本会议官方合作
              报名平台,您可在线购票

              会议支持:

              • 会员折扣
                该会议支持会员折扣
                具体折扣标准请参见plus会员页面
              • 会员返积分
                每消费1元累积1个会员积分。
                仅PC站支持。
              • 会员积分抵现
                根据会员等级的不同,每抵用1元可使用的积分也不一样,具体可参见PLUS会员页面。 仅PC站支持。

              会议地点

              部分参会单位

              主办方没有公开参会单位

              快捷下单

              活动家_小程序快捷下单

              微信扫一扫
              使用小程序快捷下单

              送礼神器

              邮件提醒通知

              分享到微信 ×

              打开微信,点击底部的“发现?#20445;?br> 使用?#21543;?#19968;扫”即可将网页分享至朋友圈。

              录入信息

              请录入信息,方便生成邀请函

              江西快三官网
              1. <code id="hkh8t"></code>
                    <thead id="hkh8t"></thead>

                      <output id="hkh8t"><ruby id="hkh8t"><div id="hkh8t"></div></ruby></output>
                      <thead id="hkh8t"><sup id="hkh8t"></sup></thead>
                      1. <acronym id="hkh8t"><ruby id="hkh8t"></ruby></acronym>
                        1. <code id="hkh8t"></code>
                              <thead id="hkh8t"></thead>

                                <output id="hkh8t"><ruby id="hkh8t"><div id="hkh8t"></div></ruby></output>
                                <thead id="hkh8t"><sup id="hkh8t"></sup></thead>
                                1. <acronym id="hkh8t"><ruby id="hkh8t"></ruby></acronym>
                                2. 2019年双色球选号规律 重庆幸运农场每天几点 彩票老司机app下载 新时时彩网址大全 北京快3助手 浙江20选5预测号码 杀平码公式 3d乐彩彩票走势图百度 212期福彩3d 浙江快乐彩走势 辽宁十一选五前一走势图 欢乐斗地主手机版记牌器 六场半全场怎么买 六合图库彩图 体彩31选7开奖结果