黄 潤和 
ファン ルンヘ 
HUANG Runhe 


Assistant Lecturer of National Defense University of Technology, China  1982/07/16-1988/12/31 
Ph.D Research Fellow of University of the West of England, U.K.  1989/01/01-1993/02/14 
Assistant Professor of University of Aizu, Japan  1993/04/05-2000/03/31 
Assistant Professor of University of Hosei, Japan  2000/04/01-2003/03/01 
Professor of University of Hosei, Japan  2003/04/01-現在 

Changsha Institute of Technology, China National Defense University of Technology, China  Department of Electronic Engineering  1982/07  卒業 

Ph.D(Computer Science)  西イングランド大学コンピュータ科学及び数学専攻(博) 



Active Media Technology  Runhe Huang, Ali A. Ghorbani, Gabriella Pasi, Takahira Yamaguchi, Neil Y. Yen, Beijing Jin  1-671  Springer  2012/12/04  978-3-642-35235-5  This volume contains the papers selected for presentation at The 2012 Inter- national Conference on Active Media Technology (AMT 2012), held as part of the 2012 World Intelligence Congress, a special event of Turing Centennial Cel- ebration jointly with other international conferences (BI12, WI12, IAT12, and ISMIS12) at Fisherman’s Wharf, Macau, China, on December 4th-7th, 2012. In this great digital era, we are witnessing many rapid scientific and techno- logical developments in human-centered and seamless computing environments, interfaces, devices, and systems with applications ranging from business and communication to entertainment and learning. These developments are collec- tively best characterized as Active Media Technology, a new area of intelligent information technology and computer science that emphasizes the proactive and seamless roles of interfaces and systems as well as new media in all aspects of digital life. An AMT based system offers services to enable the rapid design, implementation and support of customized solutions. 

研究論文(国際会議プロシーディングス)  共著  From Data to Knowledge: a Cognitive Approach to Retail Business Intelligence  Atsuhi Sato and Runhe Huang  IEEE International Conference on Cyber, Physical and Social Computing (CPSCom’15)  IEEE  210-217  2015/12/11  10.1109/DSDIS.2015.106  Consumer-oriented companies can no longer afford to make decisions or measure results based on gut feeling. They must be able to take advantage of all available data. Advanced analytics makes it possible to capture value and benefit from big data, however, this isn't a given. Companies must hire, develop, and retain skilled analysts, who can distinguish relevant from irrelevant data, draw the right assumptions, and translate information into insights. To lighten the burden on companies and support big data analytics, this paper presents a KID (Data-Information-Knowledge) model based on a cognitive approach which can accumulate experience and gain knowledge by continuously perceiving data, interpreting data into meaningful information, absorbing incoming information, and updating knowledge as humans do. This is a process of from data to knowledge and knowledge about correlations among attributes, making assumptions, and testing the assumptions with appropriate algorithms which are constantly updated and summarized in this data-information-knowledge cyclic process. This approach is applied to a retail business for understanding customer purchasing and product sale situations, so as to support provision of better service and timely adaptation of business strategy. 
研究論文(学術雑誌)  共著  Cybermatics: A Holistic Field for Systematic Study of Cyber-Enabled New Worlds  Jianhua Ma; Huansheng Ning; Runhe Huang; Hong Liu; Yang, L.T.; Jinjun Chen; Geyong Min  IEEE ACCESS  IEEE  vol 3, 2270-2280  2015/11/20  2169-3536  10.1109/ACCESS.2015.2498288  Following the two trends of computerization and informatization, another emerging trend is cyberization in which numerous and various cyber entities in cyberspace will exist in cyber-enabled worlds, including the cyber world and cyber-conjugated physical, social, and mental worlds. Computer science and information science, as holistic fields, have, respectively, played important roles in computerization and informatization. Similarly, it is necessary for there to be a corresponding field for cyberization. Cybermatics is proposed as such a holistic field for the systematic study of cyber entities in cyberspace and cyber world, and their properties, functions, and conjugations with entities in conventional spaces/worlds. This paper sets out to explain the necessity and rationale for, and significance of, the proposed field of Cybermatics, what it is and what it encompasses, and how it is related to other fields and areas. 
研究論文(学術雑誌)  共著  From Internet to Smart World  H. Ning, H. Liu, J. Ma, L.T. Yang, Y. Wan, X. Ye, R. Huang,  IEEE ACCESS  IEEE  vol 3, 1994-1999  2015/10/29  2169-3536  10.1109/ACCESS.2015.2493890  The development of informationization and intelligentization prompts Internet developing toward a new era. A deep fusion among cyber space, physical space, social space, and thinking space brings a quaternionic cyber-physical-social-thinking hyperspace, based on which an embryo of smart world is being established through heterogeneous spaces. The smart world is expected to be an attractive perspective involving ubiquitous sensing, computing, and communication to achieve comprehensive interconnections of physical perception, cyber interaction, social correlation, and cognitive thinking. In this paper, evolution of the smart world is briefly introduced, and physical-based coordination, social-inspired interactivity, brain-abstracted cooperativity, and cyber-enabled homogeneity are, respectively, discussed as the main characteristics of the smart world. 
研究論文(国際会議プロシーディングス)  共著  Unified Structure and Data Driven Process for Knowledge Enrichment and Problem Solving  A. Sato, R. Huang  The 13th IEEE International Conference on Pervasive Intelligence and Computing (PICom-2015)  IEEE  2181-2188  2015/10/26  10.1109/CIT/IUCC/DASC/PICOM.2015.323  The KID (Knowledge-Information-Data) model is a unified structure which unifies data, information, and knowledge. It is also a data driven process in the data transformation process from data, to information, and then to knowledge. In this process, knowledge is enriched and enhanced with continuous perception of the external context and at the three stages of the data transformation. In other words, the KID model is a data driven knowledge enrichment and enhancement process for developing intelligent applications. As a generic model, there are three abstract functions within the KID model to describe three transformation stages from data to information, from information to knowledge, and from knowledge to data. They are interpretation() for interpreting data under given prior knowledge, assimilation() for assimilating information into existing knowledge, and instantiation() for generating knowledge instances. Conceptually, they can be applied to any knowledge representation and its associated cognitive framework. These three abstract functions can be explained and demonstrated by pragmatically specifying knowledge representation in a cognitive framework. This paper is focused on explaining the KID model and demonstrating how knowledge is enriched and problem solving is performed in the KID model with a classic 3-block world classic problem. 
研究論文(国際会議プロシーディングス)  共著  Wear-I: A new computing paradigm in wearable computing  Jianhua Ma and Runhe Huang  International IEEE Conference on Ubiquitous Computing and Communications  IEEE  1063-1068  2015/10/26  10.1109/CIT/IUCC/DASC/PICOM.2015.356  Nowadays there are already a multitude of various wearable devices, and more wearables are expected to come onto the market in the next few years. Much of the current research in wearable computing has fallen into two basic categories, device-centered and application-centered, which are however dedicated to specific applications, and without the flexibility and scalability sufficient to support more applications by reusing and coordinating all devices worn by a user. This paper presents a new wearable computing paradigm called Wear-I that regards wearables as extensions of human sense and action organs, and further proposes a life-like system to interconnect, manage and control these wearables using various applications. Wear-I's concepts, characteristics, constituents, architecture and model, as well as its technical issues and challenges are described in this paper. 

口頭発表(一般)  Who Knows What You Want? - Smart environments based on the convergence of IT and AI  the 2012 FTRA International Conference on Advanced IT, engineering Management (AIM Summer 2012)  2012/07/11  When you are sitting in front of a computer and working for 3 or 4 hours, someone makes a cup of hot milk tea for you, you must be very happy. Why? Someone knows you well, knows what you want right now. This is so called “Smart”. There are many such cases happening in our daily life. It would make one happy if there would be a smart environment provides what he wants in the right place, at the right time. The convergence of state of the art information technology and dynamic intelligence computing makes it possible and makes this happen. This talk will present three key stages in the data cycle system: acquiring and collecting data with ubiquitous active IT technology;human centric data structuring and mining for knowledge discovery; and dynamic intelligence for the fusion of discovered knowledge and existing knowledge. Finally, this talk will show three projects on human centric awareness based active services in a smart eco-home system, in classroom effective teaching and learning system, and in a smart profitable cyber system. 

Received Sino-British Frendship Scholarship from Chinese Government and British Government  1988/10