Chae-Hoon Ban
Kosin University
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Publication
Featured researches published by Chae-Hoon Ban.
database and expert systems applications | 2005
Chae-Hoon Ban; Bonghee Hong; Dong-Hyun Kim
For tracing tag locations, the trajectories should be modeled and indexed in a radio frequency identification (RFID) system. The trajectory of a tag is represented as a line that connects two spatiotemporal locations captured when the tag enters and leaves the vicinity of a reader. If a tag enters but does not leave a reader, its trajectory is represented only as a point captured at entry. Because the information that a tag stays in a reader is missing from the trajectory represented only as a point, it is impossible to find the tag that remains in a reader. To solve this problem we propose the data model in which trajectories are defined as time-parameterized intervals and new index scheme called the Time Parameterized Interval R-tree. We also propose new insert and split algorithms to enable efficient query processing. We evaluate the performance of the proposed index scheme and compare it with the R-tree and the R*-tree. Our experiments show that the new index scheme outperforms the other two in processing queries of tags on various datasets.
embedded and real-time computing systems and applications | 2007
Jaekwan Park; Bonghee Hong; Chae-Hoon Ban
RFID middleware systems collect and filter RFID streaming data gathered continuously by numerous readers to process requests from applications. These requests are called continuous queries because they are executed continuously during tag movement. To enhance the performance of the middleware, an index must be built to process these continuous queries efficiently. Several approaches to building an index on queries rather than data records, called query index, have been proposed and are widely used to evaluate continuous queries over streaming data. EPCglobal proposed an Event Cycle Specification (ECSpec) model, which is a de facto standard query interface for RFID applications. Continuous queries based on ECSpec consist of a large number of segments that represent the query conditions. The problem when using any of the existing query indexes on these continuous queries is that it takes a long time to build the index because it is necessary to insert a large number of segments into the index. To solve this problem, we propose an aggregate transformation that converts a group of segments into compressed data. We also propose an efficient query index scheme for the transformed space. We compare the performance of the proposed index with existing query indexes. Our experiments show that the proposed index outperforms the others on various datasets.
Journal of Information Science and Engineering | 2009
Jaekwan Park; Bonghee Hong; Chae-Hoon Ban
This study introduces an efficient query indexing method for processing data stream in RFID system. Several approaches to build an index on queries rather than data records, called a query index, have been proposed and are widely used to evaluate continuous queries over streaming data. However, it is difficult to use them for the RFID system because they suffer from data composed of a large number of segments. To solve this problem, our study defines concepts and properties of data in the RFID system and then proposes a transformation method that converts a group of segments into compressed data. This allows query index to store one object instead of the segments. We measure the performance improvement of the index by the proposed technique using experimental evaluation.
international conference on systems and networks communications | 2007
Jaekwan Park; Bonghee Hong; Chae-Hoon Ban
RFID data are usually regarded as streaming data that are huge and change frequently because they are gathered continuously by numerous readers. RFID middleware filters the data acquired from the readers to process queries from applications. To enhance the performance of the middleware, an index must be built to process the queries efficiently. Several approaches to building an index on queries rather than data records, called query index, have been proposed and are widely used to evaluate continuous queries over streaming data. EPCglobal proposed an event cycle specification (ECSpec) model, which is a standard query interface for RFID applications. The problem with using any of the query indexes in the ECSpec model is that it takes a long time to build the index and to process queries because each data consist of a large number of segments. To solve this problem, we propose an aggregate transformation that converts a group of segments into compressed data. Then, we measure the performance improvement of the index by the proposed technique using experimental evaluation.
international conference on computational science and its applications | 2006
Sungwoo Ahn; Bonghee Hong; Chae-Hoon Ban; Kihyung Lee
Recently, there has been a demand for RFID systems that can trace tag locations. For tracing tag locations, trajectories should be modeled and indexed in an RFID system. The trajectory of a tag is represented as a line that connects two spatiotemporal locations that are captured when the tag enters and leaves the vicinity of a reader. If a tag enters but does not leave a reader, its trajectory is represented only as the point captured at entry. When we process a query that finds the tag staying in a reader, it takes a long time to find this tag because it leads to searching the whole index. To solve this problem, we propose a data model in which trajectories of these tags are defined as intentional fixed intervals and a new index scheme called the Fixed Interval R-tree. We also propose a new insert and split policy to process queries efficiently. We evaluated the performance of the proposed index scheme and compared it with other schemes on various datasets and queries.
The Journal of the Korea institute of electronic communication sciences | 2015
Dong-Hyun Kim; Chae-Hoon Ban
The doorlock using buttons has been widely used since it does not exploit the physical key and has much functions though it is cheap. However, the doorlock has problems where it is easy to forget the secret number since the user has to remember the number and difficult to keep secure when the one secret number has been used for a long time. In this paper, we propose the doorlock system using the near field communication. The proposed system controls the open and close of the doorlock using user data acquired by the near field communication tag, The implemented doorlock system has the benefit to control the doorlock without a secret number.
Archive | 2013
Chae-Hoon Ban; Dong-Hyun Kim; Dae-Soo Cho; Jin-Oh Choi; Jin-Deog Kim; Sungwoo Ahn
It is an important job to manage the storing/unstoring state or the inventory state of logistics efficiently and accurately at the inventory management system for refrigerated warehouses. Since the inventory management system is running on the legacy system which is the closed client–server system, the maintenance of the system is costly and labor-intensive. Also, the inventory management system does not provide any services to the cosigners and the consigners should use phones or faxes to place or obtain orders. Thus, the business process becomes inefficient and inaccurate because the old-fashioned management system requires human involvement. In this paper, we design and implement the mobile framework to provide various services for a consigner with a mobile device. If a consigner requests the job or the information of logistics with a mobile device, the mobile framework connects to the legacy system and processes the job or retrieves the related data from the legacy system. Since the consigner is able to check the inventory state and handles the orders directly without any human involvement, the management for the refrigerated warehouse becomes more accurate and efficient.
Science in China Series F: Information Sciences | 2008
Jaekwan Park; Bonghee Hong; Chae-Hoon Ban
RFID middleware collects and filters RFID streaming data to process applications’ requests called continuous queries, because they are executed continuously during tag movement. Several approaches to building an index on queries rather than data records, called a query index, have been proposed to evaluate continuous queries over streaming data. EPCglobal proposed an Event Cycle Specification (ECSpec) model, which is a de facto standard query interface for RFID applications. Continuous queries based on ECSpec consist of a large number of segments that represent the query conditions. The problem when using any of the existing query indexes on these continuous queries is that it takes a long time to build the index, because it is necessary to insert a large number of segments into the index. To solve this problem, we propose a transform method that converts a group of segments into compressed data. We also propose an efficient query index scheme for the transformed space. Comparing with existing query indexes, the performance of proposed index outperforms the others on various datasets.
The Journal of the Korea institute of electronic communication sciences | 2013
Dong-Hyun Kim; Chae-Hoon Ban
Since a NAND-flash memory is able to store mass data in a small sized chip and consumes low power, it is exploited on various hand-held devices, such as a smart phone and a sensor node, etc. To process efficiently mass data stored in the flash memory, it is required to use an index. However, since the write operation of the flash memory is slower than the read operation and an overwrite operation is not supported, the usage of existing index schemes degrades the performance of the index. In this paper, we survey the previous researches of index schemes for the flash memory and classify the researches by the methods to solve problems. We also present the performance factor to be considered when we design the index scheme on the flash memory.
2013 International Conference on Future Information and Communication Engineering, ICFICE 2013 | 2013
JongSoo Ha; Chae-Hoon Ban; Daewoong Kim; Tatsuro Ishii
Recently, even non-professional photographers are using a dual lens stereoscopic camera which allows for convenient stereoscopic photography. The necessity for the research comes up, since the dual lens stereoscopic camera can cause visual discomfort during zoom-in due to the fixed convergence point. We propose a method based on which a convergence point can be adjusted to prevent visual discomfort during zoom-in for a dual lens stereoscopic camera. First, the relational model is classified into nine kinds and defined, depending on locations of focus, object, and convergence point. And then, the method to minimize visual discomfort is suggested by adjusting convergence point on the given model.