Juno Chang

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With the proliferation of smart computing equipment, the range of providing highly intelligent services is widely expanding in an attempt to include the present condition of each individual data source. Furthermore, broadly adopted RFID (Radio Frequency Identification) technology has led to the widespread application of automatic identification in numerous(More)
With the rapid growth of network-enabled environment, the range of intelligent application services is widely expanding with continuous attempts to fully utilize highly accurate personal or environmental information. In parallel, a variety of professional knowledge data have been built up and provided to the public in the form of semantically linked(More)
This paper describes the prototype of the Massive Events Streams Service Architecture (MESSA), which is used as a framework of various RFID-enabled application systems. The MESSA captures events from a number of RFID readers, refines the events, processes the continuous queries, and delivers the event query results to the applications systems. In addition,(More)
This paper proposes the integrated design of an event stream service system architecture (ESSSA) which can be used as a gateway to capture and process enormous amounts of event streams continuously generated by radio frequency identification (RFID) or variable sensors over ubiquitous sensor network (USN) installed in a wide variety of locations, transfer(More)
The XCREAM (XLogic Collaborative RFID/USN-Enabled Adaptive Middleware), as a mediator between smart physical objects and collaborative cyber services, gathers massive events from a variety of event origins and distributes them to the appropriate service parties depending on the predefined business scenarios. Demand for collaboration among numerous(More)
This paper describes how Korean Government has designed and driven the innovation of undergraduate curriculums to meet increasing industrial demand for quality IT experts in the computer-software field. The computer-software field has been categorized into five specialized areas, tracks. The embedded system software area is one among them. Educational(More)
This research first focused on processing enormous number of sensor events from a variety of city-wide sensor networks. As a solution, the well-known big data handling scheme, Hadoop cluster framework, drew, unquestionably, our attention. The acquired sensor events are to be used to immediately detect a certain abnormal situation within the framework.(More)
Region-oriented segmentation is a simple relatively robust method for coin recognition. In this paper we present the use of Region-oriented segmentation for Coin Recognition. We use an improved K-Means Clustering Algorithm, which has the advantage to speed up the automatic determining of the optimal number of classes, to group all the gray-levels into(More)