• 한국해양공학회:학술대회논문집
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• 한국해양공학회 2004년도 학술대회지
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• pp.35-39
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• 2004

In a shipyard, there exist various critical decision making components pertaining to various production hindrances. The most prominent one is best-fit spatial arrangement for the minimal spatial occupancy with better pick-ability for the erection of the ship in the dock. During the present research, a concept have been conceived to evade the gap between the identification oj inter-relationships among a set of blocks to be included on a pre-erection area, and a detailed graphical layout of their positions, is called an Optimal Block Relationship Diagram A research has been performed on generation of optimal (or near Optimal) that is, with minimal scrap area. An effort has been made in the generation of optimal (or near-optimal) Optimal Block Relationship Diagram with the Goldberg's Genetic Algorithms with a representation and a set of operators are 'trained' specifically for this application. The expected result to date predicts very good solutions to test problems involving innumerable different blocks to place. The suggested algorithm could accept input from an erection sequence generator program which assists the user in defining the nature and strength of the relationships among blocks, and could produce input suitable for use in a detailed layout stage.

• 한국항해학회지
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• 제20권2호
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• pp.51-58
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• 1996

For the smooth flow of traffic vehicles and its effective management, it is necessary to have an exact information on traffic condition, i.e., the volume of traffic, velocity, occupancy and classification of vehicles. In particular, for classification of vehicles, there has been only image processing method using camera, where the method can obtain much information but rather expensive. In this paper, an algorithm for the measurement of velocity and total length of vehicles has been proposed to develop a general traffic management system, which is necessary to discriminate the class of vehicles. In order to realize the proposed algorithm, we have developed an ultrasonic spatial filtering method, which has better performance than that of using the traditional vehicle detector. To have this system to be constructed, we have introduced three sets of ultrasonic devices where each has one transmitter and two receivers which are arranged to obtain the spatial difference of objects. The velocity of vehicles can be measured by analyzing the occurrence time of pulses and their time differences. The total length of vehicles can be given by multiplying velocity with time interval of pulses sequence. To confirm the effectiveness of this measuring system, the experiment by the spatial filtering method using the ultrasonic sensors has been carried out. As the results, it is found that the proposed method can be used as one of measurement tools in the general traffic management system.

• 한국실내디자인학회논문집
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• 제19권6호
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• pp.112-120
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• 2010

Human can recognize the environment by detecting spatial perception, and most of environmental perception depends on visual perception. In view that the acquisition of spatial information is accomplished through visual recognition, analysis of visual structure contained in the space is thought to be very important sector in studying the characteristic of the space. The history of studies on visual structure of space, however, wasn't too long, and furthermore most of the theories up to now focused on static and planar principles. Under this circumstance, this study is intended to suggest new theory by combining Isovist theory and VGA theory that have been actively discussed as the theory on visual perception-based spatial structure and supplementing them between each other to expand into 3-dimensional model. The suggested theory is a complex principle in dimensional and dynamic form in consideration of visual direction, which forms 3-dimentional virtual model that enables visualization of the property of spatial structure as the routine discriminating whether visual connection is made between viewing point and target point, and the target point is included in the visual field quadrangular pyramid or not. Such model was built up by an analysis application where four probe paths were applied to simulate the visual structure that occurs in virtual space, and then the characteristics were analyzed through quantification. In result, in spite of the path with equal space and equal length, significant difference in the acquired quantity of spatial information could be found depending on the probe sequence. On the contrary, it was found that probe direction may not affect the acquired quantity of information and visual property of the space.

• 한국전통조경학회지
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• 제28권2호
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• pp.98-108
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• 2010

본 연구의 목적은 한국에 있는 6 25전쟁 기념공간에 나타난 기념적 표현을 분석하는 것으로 기념공간에서 구현되는 기념의 내용, 공간적 특성, 도입요소, 조각 및 건축물의 특성에 대하여 분석하고, 이러한 분석결과를 토대로 하여 6 25전쟁 기념공간에 나타난 기념문화에 관하여 고찰하였다. 본 연구를 위해 한국에 있는 6 25전쟁과 관련된 현충시설 659개를 1차 검색하여 부지가 전적지이거나 전쟁과 관련된 장소성이 있으며, 외부공간이 조성된 17개소를 선정하고 현장조사를 시행하였으며, 설계도면, 사진, 기사 등 관련자료를 수집하여 분석에 활용하였다. 연구의 주요 결과는 다음과 같다. 1. 기념내용에 있어서는 희생자를 추모하고 전공을 기리며, 6 25전쟁의 경험 및 교육을 통하여 호국정신을 고양하는데 초점이 두어졌으며, 특히 전적지에 위치한 기념공간에서 이러한 경향이 강하게 나타나고 있다. 2. 부지의 입지여건과 전통적 공간인식에 따른 공간적 위계를 고려하였으며, 기념공간에서 요구되는 엄숙함을 얻기 위해 축적인 구성을 하고, 추모감과 전승감을 얻기 위해 중심축 상단에 기념탑이나 전시관과 같은 상징적 요소를 위치시켜 공간을 구성하는 방법을 취하였다. 3. 희생자를 추모하고 전공을 기리기 위한 기념비와 기념탑, 전쟁의 경험 및 교육을 통해 호국정신을 고양하기 위한 기념전시관 및 야외무기전시장, 그리고 참전국가의 명예를 고양하기 위한 국기가 주요한 요소로 도입되었다. 4. 영웅적인 전투장면을 묘사한 근대적 조각이 많았으나 양구전쟁기념관 및 유엔기념공원의 '추모명비'에서는 상징적이거나 추상적인 표현을 시도하는 현대적 기념공간의 경향을 보여주었다. 5. 기념문화에 있어서도 애국주의 및 이데올로기가 강조되고, 기념공간에 대한 관습적인 인식이 강하게 드러났으며, 일부의 조각가 및 설계가만 기념공간의 설계에 참여하였다. 향후 6 25전쟁 기념공간에 관한 미니멀리즘, 해체주의, 탈근대주의 등의 설계양식론 관점과 다른 전쟁메모리얼과 비교를 통한 통시적 관점(通時的 觀點)의 연구가 필요하다.

• 대한의용생체공학회:의공학회지
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• 제30권5호
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• pp.373-380
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• 2009

In general, Independent component analysis (ICA) is a statistical blind source separation technique, used either in spatial or temporal domain. The spatial or temporal ICAs are designed to extract maximally independent sources in respective domains. The underlying sources for spatiotemporal data (sequence of images) can not always be guaranteed to be independent, therefore spatial ICA extracts the maximally independent spatial sources, deteriorating the temporal sources and vice versa. For such data types, spatiotemporal ICA tries to create a balance by simultaneous optimization in both the domains. However, the spatiotemporal ICA suffers the problem of source ambiguity. Recently, constrained ICA (c-ICA) has been proposed which incorporates a priori information to extract the desired source. In this study, we have extended the c-ICA for better analysis of spatiotemporal data. The proposed algorithm, i.e., constrained spatiotemporal ICA (constrained st-ICA), tries to find the desired independent sources in spatial and temporal domains with no source ambiguity. The performance of the proposed algorithm is tested against the conventional spatial and temporal ICAs using simulated data. Furthermore, its performance for the real spatiotemporal data, functional magnetic resonance images (fMRI), is compared with the SPM (conventional fMRI data analysis tool). The functional maps obtained with the proposed algorithm reveal more activity as compared to SPM.

• 한국멀티미디어학회논문지
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• 제23권8호
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• pp.927-939
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• 2020

Gait recognition can identify people's identity from a long distance, which is very important for improving the intelligence of the monitoring system. Among many human features, gait features have the advantages of being remotely available, robust, and secure. Traditional gait feature extraction, affected by the development of behavior recognition, can only rely on manual feature extraction, which cannot meet the needs of fine gait recognition. The emergence of deep convolutional neural networks has made researchers get rid of complex feature design engineering, and can automatically learn available features through data, which has been widely used. In this paper,conduct feature metric learning in the three-dimensional space by combining the three-dimensional convolution features of the gait sequence and the Siamese structure. This method can capture the information of spatial dimension and time dimension from the continuous periodic gait sequence, and further improve the accuracy and practicability of gait recognition.

• 천문학회지
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• 제38권2호
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• pp.173-174
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• 2005

On behalf of the IRSF/SIRIUS group, I introduce some recent results from our deep near-infrared surveys (J, Hand Ks bands, limiting magnitude of Ks=17) toward star forming regions in the Milky Way Galaxy (MWG) and Large Magellanic Cloud (LMC) with the near-infrared camera SIRIUS. We discovered a rich population of low-mass young stellar objects associated with the W3 and NGC 7538 regions in the MWG based on the near-infrared colors arid magnitudes. The high sensitivity of our survey enables us to detect intermediate-mass pre-main sequence stars, i.e. HAEBE stars, even in the LMC. We detected many HAEBE candidate stars in the N159/N160 complex star forming region in the LMC with the IRSF 1.4-m telescope. Spatial distributions of the young stellar objects indicate the sequential cluster formation in each star forming region in the complex and large scale (a few ${\times}$ 100 pc) sequential cluster formation over the entire complex.

• 천문학회보
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• 제40권2호
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• pp.30.2-30.2
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• 2015

Abell 2744 is a giant merging cluster, called the Pandora's Cluster, at the redshift of z=0.308 (corresponding to a distance of 1270 Mpc). Taking the advantage of the deep high resolution images in the Hubble Frontier Field program, we study the properties of compact stellar systems including globular clusters and ultracompact dwarfs (UCDs) as well as dwarf galaxies in this cluster. We find a rich population of globular clusters and UCDs in Abell 2744. The spatial distribution of these objects is consistent with the mass map derived from lensing analysis, while showing a significant offset from the X-ray map of hot gas. The faint end of the luminosity function of the galaxies in the red sequence is fit by a flat slope, showing no faint upturn. We discuss these finding in relation with the origin of UCDs, formation of red sequence dwarf galaxies, and formation of the Pandora's cluster.

• 디자인학연구
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• 제19권3호
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• pp.59-70
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• 2006

Narratologists have long raised the question of how narrative theories could be applied to other disciplines that involve stories and storytelling. Focusing on recently revitalized concepts of space, sequence, and story, this article attempts to illustrate narrative constructions in various fields of arts and humanities and examine them particularly in typographical works. Through the concept of narrativity, this article highlights the prevalent uses of narrative in typography and scrutinizes the ways in which a sense of storyness is forming and emerging in some typographical works. Particularly emphasized are the importance of and interplay between the formal and cultural attributes of narrative that transform the spatial world of visual images to the temporal world of stories. Narrative is arguably the most familiar, interesting, and effective medium of communication regardless of age, race, and culture, and can be critically rethought to apply to typography and design.

• 산업기술연구
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• 제21권A호
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• pp.155-166
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• 2001

This paper deals with the subsequence searching problem under time-warping. Our work is motivated by the observation that subsequence searches slow down quadratically as the average length of data sequences increases. To resolve this problem, the Segment-Based Approach for Subsequence Searches (SBASS) is proposed. The SBASS divides data and query sequences into a series of segments, and retrieves all data subsequences. Our segmentation scheme allows segments to have different lengths; thus we employ the time warping distance as a similarity measure for each segment pair. For efficient retrieval of similar subsequences, we extract feature vectors from all data segments exploiting their monotonically changing properties, and build a spatial index using feature vectors. The effectiveness of our approach is verified through extensive experiments.