• Journal of KIISE:Computer Systems and Theory
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• v.34 no.2
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• pp.49-56
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• 2007

MEMS-based storage is being developed as a new storage media. Due to its attractive features such as high-bandwidth, low-power consumption, high-density, and low cost, MEMS storage is anticipated to be used for a wide range of applications from storage for small handhold devices to high capacity mass storage servers. However, MEMS storage has vastly different physical characteristics compared to a traditional disk. First, MEMS storage has thousands of heads that can be activated simultaneously. Second, the media of MEMS storage is a square structure which is different from the platter structure of disks. This paper presents a new request scheduling algorithm for MEMS storage that makes use of the aforementioned characteristics. This new algorithm considers the parallelism of MEMS storage as well as the seek time of requests on the two dimensional square structure. We then extend this algorithm to consider the aging factor so that starvation resistance is improved. Simulation studies show that the proposed algorithms improve the performance of MEMS storage by up to 39.2% in terms of the average response time and 62.4% in terms of starvation resistance compared to the widely acknowledged SPTF (Shortest Positioning Time First) algorithm.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11a
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• pp.880-882
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• 2005

MEMS 저장 장치는 기존의 디스크 저장 장치와는 다른 물리적 특성을 가지고 있는 차세대 저장 장치이다. 때문에 MEMS 저장 장치의 물리적 특성을 고려하는 디스크 스케줄링과는 다른 관리 기법이 필요하다. 본 연구에서는 MEMS 저장장치의 물리적 특성을 고려한 트랙 기반 스케줄링 방법에 대하여 제안하였다. 트랙 기반 스케줄링 기법은 스케줄링에서의 문제 상태 공간과 스케줄링을 위한 연산 횟수를 줄이고 상대적으로 정착시간에 많은 크기를 갖는 물리적 특성을 고려하여 정착시간의 추가 횟수를 줄임으로서 요청에 대한 빠른 서비스를 가능하게 해주고 요청에 대한 대기 시간을 고려함으로서 동시에 기아상태를 방지한다.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.25 no.6 s.217
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• pp.60-68
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• 2007

• Journal of the Korea institute for structural maintenance and inspection
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• v.18 no.1
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• pp.160-165
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• 2014

In this study, an efficiency test was performed by fabricating MEMS (Micro Electro Mechanical Systems) based 3-axis acceleration sensor modules and an earthquake monitoring system was composed. Data acquisition device (NI-9239) with a 24bit ADC (Analog to Digital Converter) was used for improving the performance of 3-axis acceleration sensor modules and filtered data (100Hz Low Pass Filter) was used for reducing noises. Also this paper focused on detecting meaningful vibration in the building by developing the earthquake monitoring software. If vector sum of 3-axis acceleration is greater than the preset value, the value will be recorded and saved to the file.