• 한국수자원학회:학술대회논문집
• /
• 한국수자원학회 2018년도 학술발표회
• /
• pp.176-176
• /
• 2018

This study presents a regional, probabilistic framework for estimating streamflow via spatial scaling in the Great Lakes basin, which is the largest lake system in the world. The framework follows a two-fold strategy including (1) a quadratic-programming based optimization model a priori to explore the model structure, and (2) a time-varying hierarchical Bayesian model based on insights found in the optimization model. The proposed model is developed to explore three innovations in hierarchical modeling for reconstructing historical streamflow at ungaged sites: (1) information of physical characteristics is utilized in spatial scaling, (2) a time-varying approach is introduced based on climate information, and (3) heteroscedasticity in residual errors is considered to improve streamflow predictive distributions. The proposed model is developed and calibrated in a hierarchical Bayesian framework to pool regional information across sites and enhance regionalization skill. The model is validated in a cross-validation framework along with four simpler nested formulations and the optimization model to confirm specific hypotheses embedded in the full model structure. The nested models assume a similar hierarchical Bayesian structure to our proposed model with their own set of simplifications and omissions. Results suggest that each of three innovations improve historical out-of-sample streamflow reconstructions although these improvements vary corrsponding to each innovation. Finally, we conclude with a discussion of possible model improvements considered by additional model structure and covariates.

• 한국농림기상학회지
• /
• 제7권1호
• /
• pp.4-14
• /
• 2005

CarboKorea and HydroKorea are the domestic projects aiming to improve our understanding of carbon and water cycles in a typical Korean forest located in a complex terrain with a watershed connected to large rivers. The ultimate goal is to provide a nowcasting of these cycles for the whole Peninsula. The basic strategy to achieve such goal is through the inter- and multi-disciplinary studies that synthesize the in-situ field observation, modeling and remote sensing technology. The challenge is the fact that natural ecosystems are nonlinear and heterogeneous with a wide range of spatio-temporal scales causing the variations of mass and energy exchanges from a leaf to landscape scales. Our paradigm now shifts from temporal variation at a point to spatial patterns and from spatial homogeneity to complexity of water and carbon at multiple scales. Yet, a large portion of our knowledge about land-atmosphere interactions has been established based on tower observations, indicating that the development of scaling logics holds the key to the success of CarboKorea and HydroKorea. Here, we review the pioneering work of FIFE (First ISLSCP Field Experiment) on scaling issues in a temperate grassland and discuss the lessons from it for the application to Gwangneung forest site.

• 대한공간정보학회지
• /
• 제19권2호
• /
• pp.19-27
• /
• 2011

본 연구의 목적은 기후변화에 따른 잠재 산림분포 예측에 이용되는 기상 자료의 효과적인 구축 및 규모변환(Down Scaling) 방법을 제시 하는 것이다. 잠재 산림분포 예측을 위해 한국형 산림 분포 모형 TAG(Thermal Analogy Group)의 예측 방법과 HyTAG(Hydrological and Thermal Analogy Group)에서 정의한 식생 기능성 유형(PFT: Plant Functional Types)을 함께 적용하였다. 이를 위해 20km 공간해상도의 기상자료를 1km의 공간해상도에 부합하도록 보간 하였다. 이러한 보간 및 규모변환의 한 가지 방법으로 고도에 따른 기온감율을 적용 및 비적용하여 각각의 과거 잠재 산림분포를 예측하였다. 현존 산림분포도와 비교한 정확도 검증에서 기온감율을 적용한 잠재 산림분포가 약 38% 더 정확한 것으로 나타났다.

• 대한의용생체공학회:의공학회지
• /
• 제31권2호
• /
• pp.134-140
• /
• 2010

Readily available high resolution brain MRI scans allow detailed visualization of the brain structures. Researchers have focused on developing methods to quantify shape differences specific to diseased scans. We have developed a novel method to quantify shape information for a specific population based on Multidimensional scaling(MDS). MDS is a well known tool in statistics and here we apply this classical tool to quantify shape change. Distance measures are required in MDS which are computed from pair-wise image registrations of the training set. Registration step establishes spatial correspondence among scans so that they can be compared in the same spatial framework. One benefit of our method is that it is quite robust to errors in registrations. Applying our method to 13 brain MRI showed clear separation between normal and diseased (Cushing's syndrome). Intentionally perturbing the image registration results did not significantly affect the separability of two clusters. We have developed a novel method to quantify shape based on MDS, which is robust to image mis-registration.

• 한국주거학회논문집
• /
• 제1권2호
• /
• pp.1-11
• /
• 1990

A study of domestic furniture arrangements may reveal the living style relevant to the room as conceived and coded by occupants and the effects of the physical environment on the structure of behavior settings. The purpose of this study was to investigate, through analizing the furniture usage and behavior as a non-reactive and activity oriented behavioral measures, the occupants` domestic habits as a living style using MDS. MDS(multidimensional scaling technique) is a statistical technique for creating a spatial representation of data. It Is a particularly appropriate technique for analizing qualitative data such as the furniture usage and behavior because it takes into account all of the relationships between items. For the MDS analysis, the furniture usage and behavior examined by housing types based on 114 households in Seoul. The result of spatial configuration by MDS has three dimensions : recogn;lion of room function, pattern of room organization, understanding of room meaning. The effect of housing types for dimensions is identical but configuration of furniture items is different.

• 대한지리학회지
• /
• 제42권5호
• /
• pp.691-709
• /
• 2007

본 연구는 한국 주택정치에서의 '지리적 스케일의 사회적 정치적 구성(social and political construction of geographical scale)'을 분석하였다. 최근 미국 및 유럽에서 도시지리학을 포함한 인문지리학 분야에서 관심을 끌고 있는 주제 중 하나는 '지리적 스케일의 사회적 정치적 구성(또는 생산)'이다. 이에 관한 논의의 출발점은 바로 공간적 스케일은 존재론적으로 미리 주어지거나 고정되어 있다기 보다는 사회적으로 구성되며, 정치적인 경쟁의 대상물이 될 수 있다는 인식이다. 'tm케일의 정치(politics of scale)' 또는 '지리적(공간적) 스케일의 사회적 정치적 구성(생산)'에 관한 기존의 연구들은 사회운동(social movement)에서 서로 다른 공간적 스케일이 어떻게 활용되었으며 접목되었는지에 연구의 초점을 두었다. '스케일의 정치' 관련 논문들은 사회운동에서의 스케일의 역할을 '스케일 상승(up-scaling)' 또는 '정치적 행동의 스케일(scales of activism)' 위주로 논의하였다. 반면에 풀뿌리 시민사회운동에서의 스케일의 역할 연구라는 특성으로 인해 '스케일 하강(down-scaling)' 또는 '규제의 스케일(scales of regulation)' 논의는 미약하다. 한편, '스케일의 정치' 논의는 스케일의 이용을 통한 소수정치세력 및 사회소외층의 정치적 사회적 '임파워먼트(empowerment)' 과정에 연구의 초점을 두었다. 하지만, 기존의 '스케일의 정치'와 관련해서 어떻게 스케일이(특히 '스케일 하강'이) 무특권 사회집단을 소외하고 배제시키는지에 사용될 수 있는지, 그리고 공간의 생산 및 재생산을 조절할 수 있는지에 대한 연구는 미비하다. 한국 정부는 주택시장 관리 체제 및 제도 하에서 '스케일 도약(jumping scales)' 구체적으로 '스케일 하강'을 통해 여러 지리적 스케일에서의 주택 공간 생산 및 재생산에 대한 헤게모니를 가지게 되었다. 한국 정부는 주택 개발에 대한 다스케일적(multiscalar) 정책을 사용함과 동시에 중앙 정부, 지방 자치단체, 정부 산하 주택 관련 기관, 그리고 한국 다국적 기업(재벌) 간의 다양한 스케일에서의 제도적 네트워킹을 통해 '스케일 도약' 능력을 점점 더 획득하게 되었다. 전통적으로 지리적 스케일은 분석의 공간 단위 또는 범주로 인식되어 왔다. 하지만, 지리적 스케일은 사회적 내포(social inclusion), 사회적 배제(social exclusion), 정당화(legitimation)의 수단이 될 수 있다. 사회적으로 그리고 정치적으로 연대할 또는 배제할 기관 또는 조직을 선택하는 것 자체가 조직 네트워킹시의 공간적 스케일의 선택과 범위의 결정을 수반하며, 이는 '정치의 스케일 공간성(scale spatiality politics)'과 밀접히 연관되어 있다. 다양한 형태의 '규제의 스케일'을 전개해 온 한국 정부는 정부의 주택 개발 논리의 정당화를 위해 재벌, 고소득층, 중산층을 의사결정 과정에 포함시켰으나, 국지적 스케일에서의 서민 조직들과 사회소외계층을 의사결정 과정으로부터 제외시켰다.

• 한국항해항만학회:학술대회논문집
• /
• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.1
• /
• pp.259-264
• /
• 2006

It is well known that the uncertainty of the covariance parameters of the process noise (Q) and the observation errors (R) has a significant impact on Kalman filtering performance. Q and R influence the weight that the filter applies between the existing process information and the latest measurements. Errors in any of them may result in the filter being suboptimal or even cause it to diverge. The conventional way of determining Q and R requires good a priori knowledge of the process noises and measurement errors, which normally comes from intensive empirical analysis. Many adaptive methods have been developed to overcome the conventional Kalman filter's limitations. Starting from covariance matching principles, an innovative adaptive process noise scaling algorithm has been proposed in this paper. Without artificial or empirical parameters to be set, the proposed adaptive mechanism drives the filter autonomously to the optimal mode. The proposed algorithm has been tested using road test data, showing significant improvements to filtering performance.

• 농촌계획
• /
• 제4권1호
• /
• pp.15-21
• /
• 1998

The purpose of the study is to identify a basic spatial unit for rural village redevelopment plan. An ideal spatial unit need to satisfy three basic premises: to be homogeneous as rural community, to be appropriate to implement the project, and to be compatible with regional planning systems. A spatial unit could, empirically, be defined based on the homogeneity at first, and then appropriateness and compatibility could be used to adjust its boundary. Mitan-Myun(13 villages), Pyungchang County, Dochuck-Myun(15 villages), Kwangju County, and Chuksan-Myun(28 villages), Kimje City in Korea were selected as case study areas. The degree of interrelationship between all possible pairs in each Myun was measured using spatial, socio-cultural, and economic indicators. Multidimensional Scaling(MDS) was used to identify a homogeneous spatial unit, and then indicators representing appropriateness and compatibility were used to adjust the identified boundary. New districts which have two or three villages were suggested as a reasonable spatial unit for rural village redevelopment, and its boundary roughly overlaps with Bup-Jeong-Ri(法定里: a legally defined village).

• 한국실내디자인학회논문집
• /
• 제16권6호
• /
• pp.65-76
• /
• 2007

This research is progressed on the premise that there is a basic rule to organize a space in form generation process. In this study first, antecedent researches are inquired, and formal vocabularies related with form generation in space design are founded. Generally in the organizing process of spatial form designer could have selectively combined formal vocabularies consciously or unconsciously, and these formal vocabularies related with form generation are classified with 'formal elements' and 'spatial relationships'. First, as formal elements '2-dimensional line elements(rectilinear, oblique-linear, curvilinear)' are chosen. Second, formal vocabularies of 'spatial relationships' are 37 extracted from literatures related with architectural language or spatial language. Among them there are several vocabularies with similar or same meaning, they are unitized to representative one. Thereupon 20 vocabularies are finally selected as the formal vocabularies of 'spatial relationships', they are addition, subtraction, intersection, superimposition, juxtaposition, shifting, rotation, reflection, scaling, stretching, shear, bending, folding, distortion, articulation, deconstruction, symmetry, repetition, proportion, and asymmetry.

• Earthquakes and Structures
• /
• 제6권4호
• /
• pp.375-392
• /
• 2014

Time history analyses have been preferred commonly in earthquake engineering area to determine earthquake performances of structures in recent years. Advances in computer technology and structural analysis have led to common usage of time history analyses. Eurocode 8 allows the use of real earthquake records as an input for linear and nonlinear time history analyses of structures. However, real earthquake records with the desired characteristics sometimes may not be found, for example depending on soil classes, in this case artificial and synthetic earthquake records can be used for seismic analyses rather than real records. Selected earthquake records should be scaled to a code design spectrum to reduce record to record variability in structural responses of considered structures. So, scaling of earthquake records is one of the most important procedures of time history analyses. In this paper, four real earthquake records are scaled to Eurocode 8 design spectrums by using SESCAP (Selection and Scaling Program) based on time domain scaling method and developed by using MATLAB, GUI software, and then scaled and real earthquake records are used for linear time history analyses of a six-storied building. This building is modeled as spatial by SAP2000 software. The objectives of this study are to put basic procedures and criteria of selecting and scaling earthquake records in a nutshell, and to compare the effects of scaled earthquake records on structural response with the effects of real earthquake records on structural response in terms of record to record variability of structural response. Seismic analysis results of building show that record to record variability of structural response caused by scaled earthquake records are fewer than ones caused by real earthquake records.