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석회암 지역의 기반암 및 경계면 조사를 위한 지구물리 탐사법의 적용
서백수,이덕재 강원대학교 산업기술연구소 2000 産業技術硏究 Vol.20 No.A
In 1970's, the analysis of shallow substructure was the interests of geological engineering and environmental problems. And seismic refraction method was applied to detect those structures. From 1980's, digital electric industry is rapidly developed and high resolution prospecting equipment is supplied. And seismic reflection method is applied to achieve various data gathering and analysis. In this study, geophysical prospecting method is applied to calculate the basic data of limestone yield production. Seismic shallow reflection method is used to detect the depth of bedrock and electrical resistivity method is used to detect of limestone layer boundary.
물리탐사법을 이용한 콘크리트 구조물의 결함조사에 관한 연구
서백수,손권익,장선웅 강원대학교 산업기술연구소 2000 産業技術硏究 Vol.20 No.A
Various nondestructive prospecting method were applied to detect the flaw of concrete structure, but the satisfactory result could not be obtained, yet. Fracture and cavities existing concrete structure will have a bad effect on physical and mechanical characteristic of concrete. This study deal with detection of flaws using seismic first arrival and various inversion method in theoretical model. And ultrasonic seismic method is tried to experimental model to detect fracture and cavity.
서백수,이덕재 강원대학교 산업기술연구소 2000 産業技術硏究 Vol.20 No.A
Seismic reflection method is applied to detect shallow location of limestone in Chechon area. The data using hammer source is compared with that of weight drop. Small size hammer and weight-drop are used as energy source and 100Hz geophones are used for data aquisition. Data processing is conducted utilizing the available processing technique of "Geobit", which is seismic data processing software developed by KIGAM. The result of above data processing, the velocity of topsoil layer is 1,250m/sec. The velocity of this area is higher than other area because loading trucks pass this area and make this layer compact. And in limestone area, hammer is proposed to energy source instead of weight drop because the energy propagates the layer very well.
외란관측기를 사용한 복합형능동전력필터의 Deadbeat제어에 관한 연구
우정인,박지호,김영빈,문백영 東亞大學校 2000 東亞論叢 Vol.37 No.-
When LC filter is connected parallel to the Active Power Filter, a problem of the resonance between the Active Power Filter(AF) and LC filter often arises. In this paper, deadbeat control of Hybrid Active Power Filter using Disturbance-observer is introduced to solve this problem. By the estimation of the harmonics disturbance using proposed disturbance observer, the compensation characteristics of the AF is improved and the resonant current is suppressed. The validity of proposed disturbance observer is verified from simulation results using PSIM.
[PF-0046] ‘suppressor of dwarf’ enhance fruit harvest and yield traits in Micro-Tom
Hong Kwan Beak(Hong Kwan Beak ),Sujeevan Rajendran(Sujeevan Rajendran ),Seung Han Son(Seung Han Son ),Jung Heo(Jung Heo ),Jong Hyang Bae(Jong Hyang Bae ),Soon Ju Park(Soon Ju Park ) 한국육종학회 2022 한국육종학회 공동학술발표집 Vol.2022 No.-
기술사례 : 선대구경 수평보링 발파공법(PLHBM)의 설계 연구
백종현 ( Jong Hyun Beak ),백상현 ( Sang Hyun Beak ),한동훈 ( Dong Hun Han ),원아람 ( Ah Ram Won ),김창섭 ( Chang Seop Kim ) 대한화약발파공학회 2012 화약발파 Vol.30 No.2
Blasting technology aims to maximize digging efficiency as well as minimize vibration and noise. So, it is key point of blasting technology to raise blasting effect as much as possible and reduce vibration and noise and the design of PLHBM that is the tunnel blasting method having such merit was studied in this paper. PLHBM has the excellent blasting efficiency as it drills the empty hole with high caliber of 250∼1,000mm at centre cut, contributes to blasting vibration reduction effect much and can be usefully applied to tunnel blasting sites. So it is judged that it enables the development of tunnel blasting method to be advanced one more step by studying and suggesting the design method of PLHBM.
컬러 영상 에지 검출을 위한 적응 형태학적 WCNN 알고리즘
백영현(Young-Hyun Beak),문성룡(Sung-Rung Moon) 한국지능시스템학회 2004 한국지능시스템학회논문지 Vol.14 No.4
본 논문에서는 컬러 영상에서의 새로운 에지 검출 알고리즘을 제안한다. 제안된 적응 형태학적 WCNN알고리즘은 적응 형태학과 WCNN알고리즘으로 구성된다. 이는 입력된 컬러 영상의 임계값에 따라 적응 형택학을 이용하여 경계면의 차를 레벨업시킨 후 WCNN 알고리즘을 이용하여 최적의 에지를 검출한다. 또한, 기존의 고정 마스크에지 검출방식을 탈피하여, 영상의 임계값의 차에 따라 가변적으로 변화하는 가변 BBM(Beak Y. H, Byun O. H, Moon S. R)마스크를 사용한다. 제안된 알고리즘의 기존의 연구에 비해 유용성을 검증하기 위해 본 논문은 30개의 컬러 영상의 모의 실험을 제공한다. This paper presents a new edge detection algorithm in color image: The proposed Adaptive morphological Wavelet-CNN algorithm is divided into two parts : The Adaptive morpholog and WCNN(Wavelet Cellular Neural Networks). It detects the optimal edge with applying this color image to WCNN algorithm, after it does level up a boundary side of a color image by using the adaptive morphology as the threshold of an input color image. Also, it is used not a conventional fixed mask edge detection method but variable mask method which is called a variable BBM. Finally, to show the feasibility of the proposed algorithm, this paper provides by simulation that the color image consists of 30.