Annals of Faculty of Computer and Information Sciences, Hosei University
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HOME >> No.9 CONTENTS >> Runhe HUANG
Professor
Runhe HUANG
Refereed Publications
  1. B.O. Apduhan, K. Takata, J. Ma, R. Huang, “Activity Situation Model and Application Prototype for Lifelog Image Analysis”, Int'l Journal of Software Engineering and Its Applications, Vol. 2, No.4, 2008, pp.31-42.
    Abstract - This paper proposes an integrated technique to process the lifelog which is composed of both captured video (called lifelog images) and other sensed data. The resulting structured lifelog images were evaluated using the previous approach and the proposed technique.
  2. R. Huang, K. Nakanish, J. Ma, B.O. Apduhan, “An Object-oriented Design and Push Web Server based Framework for Physical Object Interactions and Services”, Journal of Software, Academy Publisher, Vol.3, No.8, 2008, pp.34-41.
    Abstract - This article presents our research progress in developing a framework based on the object-oriented design approach and the use of a push web server. With the concept of object abstraction, an object can hide its internal structure from the outside world, which can make the object secure.
  3. K. Takata, J. Ma, B.O. Apduhan, R. Huang, N. Shiratori, “Lifelog Image Analysis based on Activity Situation Models Using Contexts from Wearable Multi Sensors”, IEEE CS Proc. of the 2nd Int'l Conf. on Multimedia and Ubiquitous Engineering (MUE'08), May 2008, pp.160-163.
    Abstract - This paper is focused on analyses of the lifelog images to find representative images in video scenes using both the pictorial visual features and the individual’s context information, and likewise represent the individual’s life experiences in some semantic and structured ways for future efficient retrievals and exploitations.
  4. T. Kawashima, J. Ma, B.O. Apduhan, R. Huang, Q. Jin, “Robots in Smart Spaces – A Case Study of a u-Object Finder Prototype –”, Springer- Verlag Proc. of the 5th Int'l Conf. On Ubiquitous Intelligence and Computing (UIC'08), LNCS 5061, June 2008, pp.61-74.
    Abstract - This paper is focused on a case study of a u-object finding service done by a robot in a smart space. It presents the design and development of the system prototype for a robot to communicate with other devices and can find a tagged object in a smart room. Some preliminary experiments were conducted and the results verified the functionalities of the system.
  5. K. Nakanish, J, Ma, B.O. Apduhan, R. Huang, “An Object-oriented Framework for Common Abstraction and Comet-based Interaction of Physical u-Objects and Digital Services”, Springer-Verlag Proc. of the 5th Int'l Conf. On Ubiquitous Intelligence and Computing (UIC'08), LNCS5061, June 2008, pp.397-410.
    Abstract - This paper is focused on a ubiquitous framework that maps all physical u-objects and digital services commonly into their corresponding abstracted objects, and enables all the objects to interact based on message exchanges via the Comet Web server using the HTTP protocol which is platform independent.
  6. K. Takata, J. Ma, B.O. Apduhan, R. Huang, Q. Jin, “Modeling and Analyzing Individuals Daily Activities using Lifelog”, IEEE CS Proc. of Int'l Conf. on Embedded Software and Systems (ICESS'08), July 2008, pp.503-510.
    Abstract - This paper is focused on the activity models and analysis techniques to process lifelog data in order to find what events/states are interesting or important, to summarize the useful records in some semantic ways for efficient retrievals and presentations of past life experiences, and to use these experiences to further improve the individual’s quality of life.
  7. T. Kawashima, J. Ma, B.O. Apduhan, R. Huang, C. Rong, “A System Prototype with Multiple Robots for Finding u-Objects in a Smart Space”, IEEE CS Proc. of the 5th Int'l Conf. on Embedded Software and Systems (ICESS'08), July 2008, pp.229-236.
    Abstract - Moveable robots can be utilized to add flexible location-related service functions to smart spaces. This paper presents design and development of a system prototype with multiple robots with focus on how to manage the multiple robots and their collaborative work in finding RFID tagged u-objects in a smart room.

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