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      • KCI등재

        모듈형 LNG 저장탱크용 콘크리트 충전성능 가이드라인 제시

        이동규,이건우,박기준,김성욱,박정준,김영진,최명성,Lee, Dong Kyu,Lee, Keon Woo,Park, Gi Joon,Kim, Sung Wook,Park, Jung Jun,Kim, Young Jin,Choi, Myoung Sung 한국안전학회 2018 한국안전학회지 Vol.33 No.2

        Recently, the use of composite steel plate concrete structural modules filled with concrete between steel plates of complex internal structure, in which a large amount of studs are installed, is increasing in order to reduce the weight and to increase workability of structures such as LNG storage tanks. However, in Korea, there is no systematic criterion for evaluating the construction performance of composite steel plate concrete structural modules. Therefore, in this study, we propose a filling guideline of concrete for composite steel plate structural module. For this purpose, high filling performance concrete with general strength range was formulated and tested for filling ability and permeability for each formulation. Rheology analysis was performed to quantitatively evaluate the flow characteristics of concrete. The reliability of $T_{500}$ and plastic viscosity was evaluated to reflect the results of each test, and a guideline for high filling concrete satisfying the reliability of 0.9 or more was derived by reflecting the results of the study on the relationship between the $T_{500}$ and plastic viscosity. Through final fill-box test, filling performance was verified and guidelines were suggested.

      • KCI등재

        양안 터슨 증후군에서 관찰한 황반가성전방축농

        이동규,이성진,Dong Kyu Lee,Sung Jin Lee 대한안과학회 2009 대한안과학회지 Vol.50 No.1

        Purpose: To report a case of a macular pseudohypopyon in the right eye in bilateral Terson's syndrome. Case summary: During a right eye vitrectomy of a 56-year-old female patient who showed bilateral Terson's syndrome with subarachnoid hemorrhage, a macular pseudohypopyon was observed. In an oval-shaped subinternal limiting membrane cyst (4×2 diameter size disc) including the central fovea, white exudates with fluid levels were present. The macular pseudohypopyon in the right eye was suspected to have occurred during the absorption of the subinternal limiting membrane hemorrhage. In the left eye, white exudates were clustered in the central fovea. In the right eye, the central fovea was above the fluid level of the pseudohypopyon, and corrected visual acuity was 1.0 after 6 months. Two months after the operation, the pseudohypopyon was absorbed.

      • KCI등재

        연근해용 소형기상관측부이의 개발

        이동규,오재호,서영상,Lee, Dong-Kyu,Oh, Jai-Ho,Suh, Young-Sang 한국해양학회 1999 바다 Vol.4 No.2

        수중음향을 이용한 풍속 측정(Weather Observation Through Ambient Noise: WOTAN) 기술을 이용하여 소형 기상관측부이를 개발하였다. 소형기상관측부이는 지상자료 수선소와 기상부이 간의 통신수단으로 휴대전화망을 채택하였다. 제작된 소형기상관측부이를 부산시 기장군 시랑리 부근 해역에 계류하여 부근에 위치한 국립수산진흥원에 설치한 지상기상관측기기에서 관측된 결과와 비교하였다. 수중음향을 이용하여 추정된 풍속을 지상에서 관측한 풍속과 비교한 결과 좋은 결과를 얻었다. 즉 풍속계에 의한 풍속과 수중음향에 의해 추정된 풍속의 rms 오차가 1 m/s 내외로 나타났다. 이 소형기상관측부이의 한가지 단점은 휴대전화의 통달거리가 짧아 육지에서 멀리 떨어진 곳에는 설치가 불가능하다는 점인데, 현재 전 세계 대양에서 통화가 가능한 위성 휴대전화망이 상용화되기 시작하여 위성 휴대전화를 이용하면 이 문제는 쉽게 해결될 수 있다고 본다. The mini-weather buoy using newly developed Weather Observation Through Ambient Noise (WOTAN) technology is developed. The buoy uses the cellular phone system for communication between the mini-weather buoy and the receiving station. The developed mini-weather buoy was deployed near Kijang and the comparison with land observation station was good: the rms error for wind speed estimation from underwater ambient noise was about 1 m/s. The only shortcoming of developed mini-weather buoy is that the buoy must be within the range of the cellular phone system, but it can be easily solved when satellite phone system is available.

      • KCI등재

        수중에서 고유수용성신경근촉진법 하지 패턴이 근력 및 유연성에 미치는 영향

        이동규,김용남,Lee, Dong-Kyu,Kim, Yong-Nam 대한물리치료학회 2013 대한물리치료학회지 Vol.25 No.2

        Purpose: This study was conducted in order to analyze the effect of proprioceptive neuromuscular facilitation lower extremity pattern on muscular strength and flexibility in an aquatic environment. Methods: Ten members of the experimental group and 10 members of the control group were randomly selected from 20 college students who are in their 20s. Bilateral symmetry pattern among proprioceptive neuromuscular facilitation lower extremity patterns was applied in an aquatic environment in the experimental group three times per week for a period of six weeks, and a set consisted of 10 times, which was repeated 10 times. On the other hand, subjects in the control group did not receive any treatment while maintaining daily life. Muscular strength was measured using a dynamometer and electromyogram system for maximum voluntary isometric contraction of hip flexor, hip extensor, knee flexor, and knee extensor. Cervical flexibility was measured using cervical range of motion instrument for cervical flexion, rotation, and lateral flexion. Lumbar flexibility was measured using back range of motion instrument II for lumbar flexion. Results: For the experimental group, significance was observed for hip flexor, extensor, knee flexor, extensor, cervical flexion, rotation, lateral flexion, and lumbar flexion. For the control group, no significance was observed for any other variables except for cervical flexion. As a result of observation of difference between the two groups, relatively high significance was observed in the experimental group, compared with the control group. Conclusion: In conclusion, proprioceptive neuromuscular facilitation lower extremity pattern had a positive effect on muscular strength and flexibility in an aquatic environment.

      • KCI등재

        비정상 ECG 진단의 에너지 효율적인 재구성 가능한 가속을 위한 OpenCL 기반 FPGA-GPU 혼합 계층 적응 처리 알고리즘 할당

        이동규,이승민,박대진,Lee, Dongkyu,Lee, Seungmin,Park, Daejin 한국정보통신학회 2021 한국정보통신학회논문지 Vol.25 No.10

        Electrocardiogram (ECG) 신호는 심장의 이상을 조기에 진단하기 위한 좋은 지표이다. ECG 신호는 사람마다 기준이 되는 정상 신호의 형태가 다르고, 진단에 많은 데이터가 필요하다. 본 논문에서는 ECG 신호 진단을 효율적으로 가속하기 위한 OpenCL을 기반 FPGA-GPU 혼합 계층 적응형 플랫폼을 제안한다. 플랫폼에서 MIT-BIH 부정맥 신호데이터의 19870개 ECG 신호를 진단한 결과 FPGA 가속기는 진단 시간이 1.15s로 소프트웨어로 실행했을 때보다 89.94% 감소하였고, 전력 소모는 84.0% 감소하였다. GPU 가속기는 실행 시간이 소프트웨어 대비 83.56% 감소한 1.87s였으며, 전력 소모는 62.3% 감소하였다. 제안하는 FPGA-GPU 혼합 플랫폼은 FPGA 가속기보다 진단 속도가 느리지만 GPU를 이용하여 상황에 따라 유연한 알고리즘을 동작할 수 있다. The electrocardiogram (ECG) signal is a good indicator for early diagnosis of heart abnormalities. The ECG signal has a different reference normal signal for each person. And it requires lots of data to diagnosis. In this paper, we propose an adaptive OpenCL-based FPGA-GPU hybrid-layer platform to efficiently accelerate ECG signal diagnosis. As a result of diagnosing 19870 number of ECG signals of MIT-BIH arrhythmia database on the platform, the FPGA accelerator takes 1.15s, that the execution time was reduced by 89.94% and the power consumption was reduced by 84.0% compared to the software execution. The GPU accelerator takes 1.87s, that the execution time was reduced by 83.56% and the power consumption was reduced by 62.3% compared to the software execution. Although the proposed FPGA-GPU hybrid platform has a slower diagnostic speed than the FPGA accelerator, it can operate a flexible algorithm according to the situation by using the GPU.

      • 대용량 공간 데이터로 부터 빈발 패턴 마이닝

        이동규,이경민,정석호,이성호,류근호,Lee, Dong-Gyu,Yi, Gyeong-Min,Jung, Suk-Ho,Lee, Seong-Ho,Ryu, Keun-Ho 한국공간정보학회 2010 한국공간정보시스템학회 논문지 Vol.12 No.1

        공간 및 비 공간 데이터에서 알지 못했던 패턴을 탐사하는 빈발 패턴 탐사 기법은 마이닝 분야에서 가장 핵심적인 부분으로 많은 연구가 활발히 진행되고 있다. 기존의 자료구조들은 트리 구조 및 배열 구조로써 밀집 또는 희소 빈발 패턴에서 성능 저하를 보인다. 대용량의 공간 데이터는 밀집 및 희소 빈발 패턴을 둘 다 가지므로 단일 알고리즘으로 빠르게 탐사 하는 것은 중요하다. 본 논문에서는 단일 알고리즘을 사용하면서도 밀집 및 희소 빈발 패턴 모두에 대해 빠르게 빈발 패턴을 마이닝할 수 있는 압축된 패트리샤 빈발 패턴 트리라는 새로운 자료구조와 이를 사용한 빈발 패턴 마이닝 알고리즘을 제안한다. 실험 평가는 제안한 알고리즘이 대용량 희소 및 밀집 빈발 데이터에서 기존의 FP-Growth 알고리즘 보다 약 10배 정도 빠르게 빈발 패턴을 탐사하는 것을 보인다. Many researches of frequent pattern mining technique for detecting unknown patterns on spatial data have studied actively. Existing data structures have classified into tree-structure and array-structure, and those structures show the weakness of performance on dense or sparse data. Since spatial data have obtained the characteristics of dense and sparse patterns, it is important for us to mine quickly dense and sparse patterns using only single algorithm. In this paper, we propose novel data structure as compressed patricia frequent pattern tree and frequent pattern mining algorithm based on proposed data structure which can detect frequent patterns quickly in terms of both dense and sparse frequent patterns mining. In our experimental result, proposed algorithm proves about 10 times faster than existing FP-Growth algorithm on both dense and sparse data.

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