• Journal of Astronomy and Space Sciences
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• 제32권4호
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• pp.419-425
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• 2015

In this study, a new idea for developing a space scale for measuring mass in a microgravity environment was proposed by using the inertial force properties of an object to measure its mass. The space scale detected the momentum change of the specimen and reference masses by using a load-cell sensor as the force transducer based on Newton's laws of motion. In addition, the space scale calculated the specimen mass by comparing the inertial forces of the specimen and reference masses in the same acceleration field. By using this concept, a space scale with a capacity of 3 kg based on the law of momentum conservation was implemented and demonstrated under microgravity conditions onboard International Space Station (ISS) with an accuracy of ${\pm}1g$. By the performance analysis on the space scale, it was verified that an instrument with a compact size could be implemented and be quickly measured with a reasonable accuracy under microgravity conditions.

• 대한공간정보학회지
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• 제4권1호
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• pp.67-73
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• 1996

본 논문은 수치영상으로부터 컴퓨터비전(Computer Vision), 수치사진측량학(야?w미 Photogrammmetry)분야에서 특이점(Distinct Point)이나 Linear Feature를 추출하기 위해서 가장 많이 이용되고 있는 $F\"{o}rstner$ interest operator의 Scale space에 관한 연구이다. 수치사진측량분야에서 사용되고 있는 수치영상자료의 크기를 고려할 때, Scale space 즉 Image pyramid는 수치영상 처리속도를 향상시킬 수 있는 방법으로 서서히 주목받고 있다. 본 연구에서는 Gaussian에 의해서 구축된 Scale space에서 $F\"{o}rstner$ interest operator의 거동을 고찰하였고, 실제 수치사진 영상에 적용하여 실제적용 여부를 검증하였다.

• 대한토목학회논문집
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• 제29권1D호
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• pp.91-100
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• 2009

본 연구는 옥외공간 설계변화에 대해 거주민들은 옥외공간에 대해서 어떤 인식을 가지고 있는지 조사하고자 옥외공간을 녹지공간, 놀이 및 운동 관련 공간, 보행공간, 휴식 및 조경시설 공간으로 분류하고 이에 대해 각각의 만족도와 개선사항을 단지규모별로 분석하였다. 분석결과에 따르면 단지내 특색있는 공간이 어딘지에 대한 질문에 단지의 규모가 클수록 녹지공간과 운동 및 놀이공간, 휴식 및 조경시설공간이 비슷한 비율로 응답된 반면, 모든 단지의 응답자들은 단지내 가장 부족한 공간으로 운동 및 놀이공간을 생각하고 있는 것으로 나타났다. 단지규모에 따른 아파트 단지의 옥외공간에 대한 세부공간별 평가결과를 살펴보면 대단지일수록 옥외공간 설계시 좀 더 많은 설계 항목이 도입되고 운동 및 놀이공간 및 휴게공간 등에 대한 강조가 이루어지고 있는 현실과 달리 주민들의 평가는 이와 상반된 결과를 보이고 있는 것으로 나타났다. 이는 단지규모가 클수록 옥외공간에 대한 이용객이 증가하여 이에 대한 수요가 증가하고 다양화되는데 비해 단지설계는 이를 뒷받침하지 못하고 있음을 보여주는 결과라 할 수 있을 것이다.

• 한국인터넷방송통신학회논문지
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• 제9권5호
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• pp.175-181
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• 2009

본 논문에서는 Scale-space filtering 방법을 사용하여 홍채인식을 이용한 보안시스템을 구현 하였다. 적외선 카메라를 이용하여 영상을 획득하고 Scale-space filtering과 영상의 Concavity를 이용하여 2차원 코드를 추출하여 서버에 저장된 코드와 비교하여 신분을 인식하는 방법을 사용하였다. 보안 시스템을 구현한 후 실제 홍채영상을 이용하여 실험한 후 FAR과 FRR을 측정하여 시스템의 성능을 입증하였다. 실험결과는 제안한 방법이 매우 적합하다는 것을 보여준다.

• 융합신호처리학회논문지
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• 제11권3호
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• pp.183-188
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• 2010

본 논문에서는 LoG scale-space를 이용한 그레이스케일 영상에서 연속패턴 라인 중심축 검출 기법을 제안한다. 제안된 기법은 LoG의 스케일 크기를 적응적으로 가변하여 라인 중심축을 검출하는 방법이다. 작은 스케일의 LoG 연산자는 라인의 에지점에서 영교차 특성이 나타나며, 영교차점을 중심으로 좌우에 +/- 극성을 가진 극점이 존재하게 된다. 즉 일정한 폭을 가지는 라인은 양쪽 가장자리에서 2개의 +극점을 가지게 된다. LoG의 확산동작을 반복함에 따라 스케일을 증가시키면 +극점은 라인 양쪽 에지영역에서 중심영역으로 이동하여 점진적으로 가까워져서 최종적으로 하나의 극점으로 중첩되어진다. 연속패턴 라인 중심축은 2개의 +극점이 중심영역에서 중첩되는 점이다. 제안하는 방법은 기존의 이진영상에서 적용되는 세선화 방법보다 강인하게 연속패턴 라인 중심축을 검출함을 확인하였다.

• 제어로봇시스템학회논문지
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• 제6권12호
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• pp.1113-1119
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• 2000

To operate a process plant safely and economically, process monitoring is very important. Process monitoring is the task to identify the state of the system from sensor data. Process monitoring includes data acquisition, regulatory control, data reconciliation, fault detection, etc. This research focuses on the data recon-ciliation using scale-space filtering and fault detection using functional-link associative neural networks. Scale-space filtering is a multi-resolution signal analysis method. Scale-space filtering can extract highest frequency factors(noise) effectively. But scale-space filtering has too large calculation costs and end effect problems. This research reduces the calculation cost of scale-space filtering by applying the minimum limit to the gaussian kernel. And the end-effect that occurs at the end of the signal of the scale-space filtering is overcome by using extrapolation related with the clustering change detection method. Nonlinear principal component analysis methods using neural network have been reviewed and the separately expanded functional-link associative neural network is proposed for chemical process monitoring. The separately expanded functional-link associative neural network has better learning capabilities, generalization abilities and short learning time than the exiting-neural networks. Separately expanded functional-link associative neural network can express a statistical model similar to real process by expanding the input data separately. Combining the proposed methods-modified scale-space filtering and fault detection method using the separately expanded functional-link associative neural network-a process monitoring system is proposed in this research. the usefulness of the proposed method is proven by its application a boiler water supply unit.

• 한국실내디자인학회논문집
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• 제18권5호
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• pp.191-199
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• 2009

Recently general hospitals in Korea are focusing on healing environment which care for patients on the side of spirit and psychology without medical treatment. For the reason, architects are planning a public space on a large scale in which can be held cultural performances and artistic events. Those of social activities can be effective healing environment according to the "Anthroposophical medicine" studied by Rudolf Steiner. To the patient, Social healing environment is relation with normal life and back to the life. The case of a large-scale public space on hospital in foreign country shows the effect of healing environment through social community. So it is valuated as a social healing environment and community space. Even though the large-scale public space has been being increased in our circumstance, there is no evaluation of use on it. So there is no idea how people are satisfied with public space to stay and form a concourse by themselves. The purpose of this study is to find out the desire of people, who use the large-scale public space by analysis of observation research and interview in the general hospitals. And finally this study suggests the factors which can realize social healing environment on the planning of public space in hospital architecture.

• Journal of Astronomy and Space Sciences
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• 제32권4호
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• pp.311-315
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• 2015

In this study, we estimated the topside scale height of plasma density (Hm) using the Swarm constellation and ionosondes in Korea. The Hm above Korean Peninsula is generally around 50 km. Statistical distributions of the topside scale height exhibited a complex dependence upon local time and season. The results were in general agreement with those of Tulasi Ram et al. (2009), who used the same method to calculate the topside scale height in a mid-latitude region. On the contrary, our results did not fully coincide with those obtained by Liu et al. (2007), who used electron density profiles from Arecibo Incoherent Scatter Radar (ISR) between 1966 and 2002. The disagreement may result from the limitations in our approximation method and data coverage used for estimations, as well as the inherent dependence of Hm on Geographic LONgitude (GLON).

• 대한수학회논문집
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• 제22권1호
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• pp.91-109
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• 2007

In this paper, we derive a change of scale formula for conditional Wiener integrals, as integral transforms, of possibly unbounded functions over Wiener paths in abstract Wiener space. In fact, we derive the change of scale formula for the product of the functions in a Banach algebra which is equivalent to both the Fresnel class and the space of measures of bounded variation over a real separable Hilbert space, and the $L_p-type$cylinder functions over Wiener paths in abstract Wiener space. As an application of the result, we obtain a change of scale formula for the conditional analytic Fourier-Feynman transform of the product of the functions.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.736-739
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• 2006

While hyperspectral data are very rich in information, their processing poses several challenges such as computational requirements, noise removal and relevant information extraction. In this paper, the application of advanced scale-space filtering to selected hyperspectral bands was investigated. In particular, a pre-processing tool, consisting of anisotropic diffusion and morphological leveling filtering, has been developed, aiming to an edge-preserving smoothing and simplification of hyperspectral data, procedures which are of fundamental importance during feature extraction and object detection. Two scale space parameters define the extent of image smoothing (anisotropic diffusion iterations) and image simplification (scale of morphological levelings). Experimental results demonstrated the effectiveness of the developed scale space filtering for the enhancement and smoothing of hyperspectral remote sensing data and their advantage against watershed over-segmentation problems and edge detection.