| In recent years,various digital explosions including data,connectivity,service and intelligence are emerging in the cyber-physical integrated hyper world.As individuals are facing so many novel services in the digitally explosive world,we may not be aware of what are the most necessary/suitable things.As a matter of fact,in the cyber space composed by various computers and global Internet,we can create not only numerous smart and ubiquitous things,but also "another self ’ called cyber individual(Cyber-Ⅰ)for each real individual(Real-Ⅰ),which may assist the individual in handling the service explosions so as to have a more comfortable and enjoyable life.However,the realization of Cyber-Ⅰ is a worldwide challenge,which needs aggregation of interdisciplinary and multidisciplinary studies as well as numerous technologies to support the work on the research of individual.In order to build a Cyber-Ⅰ,a fundamental problem is to figure out how a Cyber-Ⅰ can approximate to its Real-Ⅰ’s characteristics and even mind.The study of Cyber-Ⅰ modeling is the most important way to tackle this problem.Obliviously,a comprehensive and sophisticated Cyber-Ⅰ model cannot be built at once because there is no enough personal data in the initial modeling stage.Fortunately,more and more personal data can be collected by means of various software tools and ubiquitous devices such as smartphones,sensors,wearable devices,and so on.Such personal data comes increasingly and thus offers a possibility to make the models grow as if the creature in the nature needs nutriment to grow and the models of Cyber-Ⅰ can grow with the digital "nutrition",namely,increasing personal data.A Cyber-Ⅰ is able to gradually approximate to its Real-Ⅰ,and the approximation accuracy can be continuously improved by collecting,processing and utilizing personal data related to its corresponding Real-Ⅰ.One of basic characteristics of the personal data is the continuous increase of data types and amount.Such increasing personal data offers the possibility to make growable Cyber-Ⅰ modeling for each user.This research is mainly focused on the initialization and growth of the Cyber-Ⅰ model.An initial Cyber-Ⅰ model is a beginning description about an individual,which is made based on the basic data generated in the Cyber-Ⅰ’s birth stage.A growing model is one that can grow up to become bigger,higher or closer for a Cyber-Ⅰ to successively approximate to its Real-Ⅰ’s states,behaviors and characteristics.This paper discusses in details on how the initial models and growing models are built and work.A system prototype to support the model initialization and growth is illustrated,and a case study to concretely show the growable modeling is also given.In order to present user with better service utilizing Cyber-Ⅰ,this paper mainly present my research and development on a Cyber-Ⅰ oriented modeling platform where(1)Different kind of increasing personal data can be collected and processed with the NO-SQL properties supported by Mongo DB,where personal data coming from disparate sources with different formats through varied media can be managed in a scalable way(2)the initialization and growth of Cyber-Ⅰ model can be shown and manipulated.The focus of this research is on the initialization and growth of Cyber-Ⅰ’s models.The initial models are generated based on the personal data acquired in a Cyber-Ⅰ’s birth stage,while the growing models are built with the personal data continuously collected after the birth.We proposed three mechanisms for Cyber-Ⅰ modeling to enable the models growing bigger,higher and closer successively to its Real-Ⅰ.The system is developed with Java with Struts2 frame and integrate different kinds of collected data and APIs(Google Map API,Twitter 4j,AlchemyAPI,Facebook Graph API and Google Graph API)to process and analyze.Besides,HTMLs with CSS and J-Query is utilized to show the Cyber-Ⅰ model.As a result,necessary requirements have been raised for the system to be scalable for the growth of Cyber-Ⅰ model. |
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