Yong-Joon Lee

Design and implementation of mobile RFID technology in the CDMA networks

This paper describes the mobile RFID technology for E-business as focusing on design and implementation. Last year, the rate of Internet accessible mobile phones in Korea was 89.5% but the rate of utilizing mobile wireless Internet was 28%. The packet price in the wireless communication, lack of diversity of contents, and uncomfortable user interface restricts access to the services in the wireless Internet. To solve the following problem such as lack of diversity of contents and uncomfortable user interface we propose mobile RFID technology. Until now, many RFID technologies have been developed rapidly in the control of goods in stock and the marketing structure. However we suggest the mobile RFID technology to extend RFID technologies with the high quality mobile environments in Korea

REMS and RBPTS: ALE-compliant RFID Middleware Software Platform

Radio frequency identification (RFID) middleware is a new breed of software system which facilitates data communication between automatic identification equipments like RFID readers and enterprise applications. It provides a distributed environment to process the data coming from tags, filter and then deliver it to a variety of backend applications via various communication protocols including Web services. In this paper, we demonstrate the implementation of the RFID middleware system that is not only compatible with EPCglobal ALE (application level events) specification but also provides various types of RFID readers spanning from passive readers to active readers. Overall functional components of the middleware software as well as the system framework are illustrated

Freight Container Yard Management System with Electronic Seal Technology

For decades, RFID technology has been progressed as various types like EAS, passive RFID, active RFID, smart label, smart card, etc for their effectiveness in security as well as cost. RFID technology can be adopted for various applications from simple identification for item management to complex track and trace system for container management. In this paper, freight container yard management system using RFID technology is introduced. It consists of RFID devices, middleware and applications. RFID devices used for this system contain tags and readers with electronic seal technology as well as passive, active RFID technology. Passive tag is used for trailer truck identification while active tag for transportation information. Electronic seal tag is to be attached on the container for container identification and security.

A Knowledge Discovery Framework for Spatiotemporal Data Mining.

With the explosive increase in the generation and utilization of spatiotemporal data sets, many research efforts have been focused on the efficient handling of the large volume of spatiotemporal sets. With the remarkable growth of ubiquitous computing technology, mining from the huge volume of spatiotemporal data sets is regarded as a core technology which can provide real world applications with intelligence. In this paper, we propose a 3-tier knowledge discovery framework for spatiotemporal data mining. This framework provides a foundation model not only to define the problem of spatiotemporal knowledge discovery but also to represent new knowledge and its relationships. Using the proposed knowledge discovery framework, we can easily formalize spatiotemporal data mining problems. The representation model is very useful in modeling the basic elements and the relationships between the objects in spatiotemporal data sets, information and knowledge.

Simulation of Intersection Collision Avoidance System in Wireless Sensor Networks

In this paper, we are concerned with new system architecture in wireless sensor networks for new paradigm of services. The new architecture focuses on particular applications of real-time and reliable wireless information system. As a killer application in sensor networks, Telematics emphasizes the need for reliable raw data acquisition, real-time data transmission, and effective data analysis. So, we propose wireless information system architecture for real-time Telematics services. More specifically, we propose Intersection Collision Avoidance (ICA) system architecture, which is one of the representative services of Telematics. Then, we perform several kinds of simulations to verify a feasibility of the ICA architecture.

Architecture of an LBS platform to support privacy control for tracking moving objects in a ubiquitous environments

Due to the rapid growth of the mobile communication technology, obtaining in-detail location information by combining GPS and networks is now available. In such an environment, legal steps are needed to ensure the protection of personal location information on the one hand, and also to regulate the use of personal location information for public purposes on the other hand. In Korea, based on such considerations, the Ministry of Information and Communication (MIC) established and announced a new LBS law. As the new law is proposed, it is essential to make it applicable to the existing LBS technology. In this paper, we propose our solution for applying such a new law to the LBS platform. To do this, we propose architecture for an LBS platform conforming to the new LBS law and the specific scenario of privacy control for tracking moving objects. Especially, we suggest new privacy control mechanisms using privacy profile, such as time clocking, time blurring, area cloaking, and area blurring.

ebXML-based e-logistics enactment service architecture and system

In this paper, we develop a business process management system that is targeting on e-Logistics enactment services. We call it Viola e-Logistics system that is a partial result coming from the on-going project that has been done by a joint team of ETRl (Electronics and Telecommunications Research Institute) and CTRL (Collaboration Technology Research Lab at Kyonggi University), in South Korea. The BPMSs engine and its subsidiary tools are described in this paper. Especially, the engines architecture and features focus on supporting interoperations between parties (companies) that are associated with a logistics process represented by the ebXML standard. In terms of the modeling aspect, the Viola e- Logistics modeling system, which is a typical one of the subsidiary tools, supports modeling the multiparty collaborative processes including CPP (Collaborative Partner Profiles) and CPA (Collaborative Partner agreements). Based on the original specifications of ebXML, it is used to represent BZB collaborative transactions between buyer and seller. Unfortunately, it should be bard to directly apply it to the e- Logistics domain without any further modification, because the sbXML standard describes a series of very fundamental specifications and supports not the process-centric collaborative transactions but the dual-party (buyer and seller) collaborative transactions. Therefore, we need to extensively apply the ebXML specifications to model e-Logistics processes by interconnecting a series of the dual-party sets. Conclusively, the main contribution of this paper is on that we do apply the ebXML standard to modeling and enacting e-Logistics processes.

Augmented ontology by handshaking with machine learning

Artificial intelligence products are already around us and will be emerging dramatically a lot in near future. Artificial intelligence is all about data analysis. When it comes to data analysis, there are two representative techniques: machine learning and semantic technology. They stand on the other side from where to begin analysis. Simply speaking, machine learning is based on the data while semantic technology relies on human domain knowledge (human learning). What if collected data are insufficient to reflect whole phenomenon? This is a limitation of machine learning. What if circumstance changes a lot as time goes by? Manual rule updating by experts is not a good solution in that circumstance. Based on these observations, we investigate two approaches and find a good solution which maximizes the advantages of both techniques and mitigates the limitations of them. This paper suggests a novel integration idea to compensate each technology with the other: that is semantic filtering. This paper includes a toy semantic modelling and a machine learning algorithm implementation to realize the proposed concept, semantic filtering.

An arrival time anticipation approach for real-time tracking of moving object in mobile networks

In real-time moving object tracking, each time an object moves, a new position should be sent from the moving object to the server. In this case, numerous moving objects cause a very large volume of location updating. It could bring communication, computation and update overhead between moving object and server. This paper proposes a new location tracking method that is applicable to continuous updating of current position of moving object. The techniques are based on movement anticipation with pre-evaluated arrival time information; the moving object compares actual position with anticipated position at predefined time interval and checks deviation between two positions. Only if predefined threshold exceed, the location updating, from moving objects to the server, is occurred. Using predefined route information, this approach is effective with update reduction for real-time tracking of moving object.