JMM Abstracts 

Vol.6 No.1 March, 2010

Ubiquitous Service Systems and Technologies
Editorial (001-002)
Yo-Ping Huang and Lei Ye

Research Articles on the Theme Ubiquitous Service Systems and Technologies

Ubiquitous Information Transfer across Different Platforms by QR Codes (0031-014)
Yo-Ping Huang, Yueh-Tsun Chang, and Fronde Eika Sandnes 
Since the notion of ambient intelligence was proposed in the 90s, many researchers and companies have developed devices, applications and systems based on the idea of an intelligence environment. Despite the obvious benefits of ambient intelligent environments there are few examples of real-world realizations. One reason is that systems are developed in isolation according to their particular purpose. In fact, there are many systems that serve similar and overlapping functions in different situations, but these systems cannot easily be merged into one intelligent system. For example, a museum guiding system allows tourists through handheld devices to browse exhibition contents including text, pictures, audio, video, etc. However, often tourists cannot easily share information with each other when they come across interesting items. In order to help simplify sharing, we present five information encoding types based on Quick Response Codes (QR Code) that facilitate the connection of independent systems implemented on different platform such as smart phones or Java phones. Two case studies illustrating the use of these encoding types are presented. The first system is a travel assistant system where the traveler can share information through QR Codes and a “Schedule Code” which provides references to specific sites. The second system, the Mobile Bird Information Searching System allows discovered multimedia to be shared across smart phones to Java phones via QR Codes.

Activity Inference for RFID-based Assisted Living Applications (015-025)
Judith Symonds, Boon-Chong Seet, and Jingwen Xiong 
Technology assisted living is a practical solution to the increasing demands for access to healthcare services in an era of aging populations and dwindling supply of professional healthcare workers. Radio Frequency Identification (RFID) technology with complementary sensors is widely considered as a very promising approach to realizing the vision of technology assisted living. At the core of any assisted living systems is the important function of human activity inference, which is what enables such systems to be intelligently perceptive and responsive to the humans under their care. In this paper, we review the current state-of-the-art in activity inference for RFID-based assisted living applications, and present our ongoing work on an assisted living prototype for ‘goal training’ or brain rehabilitation of patients with cognitive impairment in their home environments, with a discussion on the potential design issues involved.

Ubiquitous Web for Ubiquitous Environments: The Role of Embedded Semantics (026-048)
Ahmet Soylu, Patrick De Causmaecker, and Fridolin Wild 
Pervasive Computing enlarged the traditional computing setting into the human layer of the earth. Different devices in pervasive environments are seamlessly integrated in various ways. Examples are wired and wireless networks, infrared connections, Bluetooth etc. Apart from these local ties, pervasive computing environments are mostly connected with the World Wide Web environment as the simple most important digital information layer. In this paper we propose an approach, a conceptual upper context model and a service oriented framework  for exploiting the vast amount of valuable information contained by the World Wide Web for the benefit of context-aware pervasive computing environments. Machine understandability of the web information is the key challenge for our purpose since a typical pervasive setting covers a variety of devices with different characteristics. We base our approach and models on semantic web activities, particularly on Embedded Semantics, which are of crucial importance for bringing structure into the World Wide Web. We first propose a conceptual upper context model, and then based on this model we propose a web harvesting approach and a service oriented application framework. Finally we demonstrate and evaluate our approach and models through examples which are based on specific scenarios, each representing a different perspective, and we partially realize our approach and the framework for the e-Learning domain.

Extendible Context-Aware Service System For Mobile Computing (049-062)
Been-Chian Chien, Shiang-Yi He, Hsin-Chan Tsai, and Yuen-Kuei Hsueh 
Context-aware computing is one of the research fields in pervasive computing and mobile computing. Context-aware systems can react to the user’s preference according to the circumstances called context including location, time and other environment conditions. Many context-aware computing paradigms were developed in recent year; however, it is difficult for the present systems to extend the application domains and interoperate with other service systems due to the problem of heterogeneity among systems. In this paper, an extendible context-aware service system importing the concept of context independence is proposed and designed. The main idea of context independence includes the physical context independence and the logical context independence. The approaches of constructing context independence are also provided for the proposed system architecture. The context-aware system thus can easily integrate different service domains and diverse devices into a unifying environment.

Motion Extraction via Human Motion Analysis (063-072)
Joseph C. Tsai, Hui-Huang Hsu, Shin-Ming Chang, Ying-Hong Wang, Chia Cheng Chao and Timothy K. Shih
We propose a novel motion analysis algorithm by using the mean-shift segmentation and motion estimation technique. Mean shift algorithm is frequently used to extract objects from video according to its efficiency and robustness of non-rigid object tracking. For diminishing the computational complexity in searching process, an efficient block matching algorithm: cross-diamond-hexagonal search algorithm was used. In the motion analysis procedure, the stick figure of object obtained by thinning process is treated as guidance to gather the statistics of motion information. The experimental results show that the proposed method can provide precise description of the behavior of object in several video sequences and extrapolate human motion seamlessly by combining different motion clips obtained from other video sequences.

Other Research Article(s)

G2G: Location-aware Mobile Social Networking with Applications in Personalized Recommender Systems (073-094)
Ioannis T. Christou and Sotiris Michalakos
We present G2G, a proximity-aware social networking platform for Mobile Information Device (MID) users and its applications in personalized travel assistance via location-aware recommender systems. User proximity to a friend or a place or event is determined via GSM cell information and enhanced via GPS information if the mobile device has such capability. GSM cell information alone is greatly enhanced through the concept of user-defined “hotspots” which is the means that allows the system to expand the notion of proximity to include not only users covered by the same GSM cell but also users and/or hotspots covered by geographically neighboring cells. The system can be thought of as a Selective Dissemination of Information platform where users subscribe to it and are willing to receive selectively information coming from their own personal network of friends and acquaintances, and if they opt for, from other system users as well, in the form of location-aware notes about nearby places. G2G continuously and actively disseminates to users information relevant to their current location within a user-defined radius. This information is published into the system by the users themselves who can recommend a place or event. To bootstrap the system with sufficient content however that makes the use of the system appealing to users, we have developed Web Information Extraction methods that extract relevant data from web pages that contain recommendations about public places and/or events that can be geo-located using publicly available GIS services such as Google Earth APIs. Regarding its Social Networking aspects, the system allows users to see nearby friends and chat with them, as well as block selected friends from seeing them. The system also acts as a personalized tourist guide providing visitors of outdoors cultural heritage sites multimedia presentations about the site on the spot.

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