Growth scheduling and processing in Cyber-I modeling

Growth scheduling and processing in Cyber-I modeling
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DOI:
10.1109/smc.2016.7844416
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发表时间:
2016-10
期刊:
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
影响因子:
--
通讯作者:
Wei Huang;Jianhua Ma;Runhe Huang;L. Yang
Wei Huang;Jianhua Ma;Runhe Huang;L. Yang
中科院分区:
其他
文献类型:
--
作者:
Wei Huang;Jianhua Ma;Runhe Huang;L. Yang

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随着信息和通信技术的不断发展,我们正在形成一个由网络世界和物理世界组成的新世界,称为超世界,其中包括数据,连接,服务和智能等各种数字爆炸。因此,Cyber-I被提出来,它是一个真实的个体在网络空间中的对应物,旨在为每一个个体创造一个独特的、数字化的、全面的描述。和人类一样,赛博我一旦出生就应该能够成长。因此,Cyber-I的模型必须是一个动态的模型,并且可以通过自适应方法利用越来越多的个人数据来连续地建立。也就是说,一个可增长的Cyber-I模型是必要的,以实现适应其相应的真实的个人(真实-I)的逐次逼近。本文介绍了我们的研究和开发的自适应系统,称为Cyber-I增长建模系统(CGMS)。本研究主要是(1)根据数据和时间安排Cyber-I的增长;(2)管理特定增长过程中涉及的原始数据的数量;(3)生成具有适当增长形式的Cyber-I模型数据;(4)将Cyber-I模型增长过程的更新记录保存到个人数据库的日志文件中。
With the progressive development of information and communication technologies, we are now forming a new world called hyperworld that is composed by the cyber world and the physical world with various digital explosions including data, connectivity, service and intelligence. Therefore, Cyber-I has been proposed, which is a real individual's counterpart in cyberspace, and is to create a unique, digital, comprehensive description for every individual person. As similar to our human, a Cyber-I once born should be able to grow. Therefore, a Cyber-I's model must be a dynamic one, and can be built successively by utilizing an increasing amount of personal data with adaptive methods. Namely, a growable Cyber-I model is necessary to achieve the adaptation for successive approximations to its corresponding real individual (Real-I). This paper presents our research and development of an adaptable system, called Cyber-I growth modeling system (CGMS). This research is mainly to (1) schedule a Cyber-I's growth according to data and time; (2) manage the quantity of raw data that is involved in a specific growth process; (3) generate the Cyber-I model data with appropriate growth forms, and (4) keep the update records of a Cyber-I model's growth process into a log file in personal database.