• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.4
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• pp.179-188
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• 2014

Social overhead capital (SOC) facilities are being threatened continuously by abnormal climate events that are increasing globally. For disaster response, rapid decision making on evacuation routes and other matters is critical. For this purpose, spatiotemporal information that combine data on disasters and SOC facilities needs to be utilized. This information is separately collected by government agencies and public organizations, and is not managed in an integrated manner. For rapid disaster response, an integrated management of separately collected disaster data and the creation of such information as the safety and damages on SOC facilities are required. To achieve this goal, it is essential to build inventories that integrate all the related information to support decision making indispensable for disaster response. In this study, a development plan for an integrated inventory management system based on the management and connection of inventories to support rapid decision making for disaster response is proposed. This system can collect and standardize data related to disasters and SOC facilities that are being managed separately and provide integrated information in line with the needs of users. The proposed system can be used as a decision making tool for proactive disaster response.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.5
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• pp.267-273
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• 2012

The short-range communication module was developed in this paper which is suitable for the point-to-multipoint circumstances of 40 terminals communicating frequently in about 50 meters. The media access control layer of this communication module using asynchronous time-division multiplexing provides a fast and robust performance even in the worst case of simultaneous transmission events, and low packet error rate was measured a in LOS (Line-of-sight) circumstance by adding the function of acknowledge response to media access control layer. The difference test was carried out in order to measure the performance of point-to-multipoint communication. Two communication modules are respectively measured and graphed in 10 branches to 40 branches. The communication module developed in this paper showed a faster performance than the commercial Zigbee module in the specific case presented in this paper. Especially, in over 20 branches showed wide differences of the transmission speed. This results is caused by more network overhead of Zigbee whose wider applications needs the network layer and applicaiton layer besides media access control layer. Also, the asynchronous time-division multiplexing proposed in this paper are more suitable than CSMA-CA of Zigbee module when a lot of module ought to be frequently communicated in small area.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.38 no.12
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• pp.1-9
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• 2001

In the APON(ATM Passive Optical Network), the transmission of the upstream traffic is based on a TDMA(Time Division Multiple Access) method that an OLT(Optical Line Termination) permits ONUs(Optical Network Units) sending cells by allocating time slots. Because the upstream is not a streaming mode, the cell synchronizer has to be operated in the burst mode. Also, the cell phase monitor is required to prevent collisions between cells which are transmitted by multiple ONUs through a single optical fiber. In this paper, a TDMA burst cell synchroniser is implemented with the FPGA(Field Programmable Gate Array) being used in the APON based on G.983.1 for transmitting upstream cells. It has two main functions which are the upstream data recovery and the phase monitoring. The former is to recover the upstream data and clock in the OLT by seeking the preamble which is the overhead of the upstream time slot and by aligning the phase of the bit and cell with the system clock. The latter is to provide the information to the ONU to compensate for the equalization delay by monitoring continuously the phase difference between adjacent cells to avoid the cell collision on the upstream.

• Journal of Environmental Impact Assessment
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• v.23 no.5
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• pp.353-363
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• 2014

The purpose of this study was to investigated the ELF-MF emission level of various environments such as 258 facilities near located to high voltage transmission lines and 120 high voltage transmission lines, 17 underground cable lines. In addition, ELF-MF reduction rate according to separation distance was calculated by using simulations. An appropriate separation distance showing below 4mG was at least 70m. In the case of the appropriate separation distance for 120 high voltage transmission lines, 154kV required 20m of separation distance and 345kV required 60m of separation distance. The simulation results showed that the appropriate separation distance showing below 4mG was 40m and 60m for overhead 154kV and 345kV respectively. To adjust the worst conditions considering the aspects of environmental impact assessment study and the electric power currents that will increase in the future, the appropriate minimum separation distance for HVTL is judged to be above 70m in this study. Thus, there is a need to establish the greenbelt or buffer zone within 70m so as to create an environment in which the receptors are not exposed and thereby eliminate the risk factors of ELF-MF against humans.

• Journal of KIISE:Computing Practices and Letters
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• v.13 no.5
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• pp.293-299
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• 2007

Intelligent pipeline inspection gauges (PIGs) are inspection vehicles that move along within a (gas or oil) pipeline and acquire signals (also called sensor data) from their surrounding rings of sensors. By analyzing the signals captured in intelligent PIGs, we can detect pipeline defects, such as holes and curvatures and other potential causes of gas explosions. There are two major data access patterns apparent when an analyzer accesses the pipeline signal data. The first is a sequential pattern where an analyst reads the sensor data one time only in a sequential fashion. The second is the repetitive pattern where an analyzer repeatedly reads the signal data within a fixed range; this is the dominant pattern in analyzing the signal data. The existing PIG software reads signal data directly from the server at every user#s request, requiring network transfer and disk access cost. It works well only for the sequential pattern, but not for the more dominant repetitive pattern. This problem becomes very serious in a client/server environment where several analysts analyze the signal data concurrently. To tackle this problem, we devise a fast in-memory cache manager, called T-Cache, by considering pipeline sensor data as multiple time-series data and by efficiently caching the time-series data at T-Cache. To the best of the authors# knowledge, this is the first research on caching pipeline signals on the client-side. We propose a new concept of the signal cache line as a caching unit, which is a set of time-series signal data for a fixed distance. We also provide the various data structures including smart cursors and algorithms used in T-Cache. Experimental results show that T-Cache performs much better for the repetitive pattern in terms of disk I/Os and the elapsed time. Even with the sequential pattern, T-Cache shows almost the same performance as a system that does not use any caching, indicating the caching overhead in T-Cache is negligible.