• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.04a
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• pp.65-70
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• 2003

The weight-of-evidence model one of the Bayesian probability model was applied to the task of evaluating landslide susceptibility using GIS. Using the location of the landslides and spatial database such as topography, soil, forest, geology, land use and lineament, the weight-of-evidence model was applied to calculate each factor's rating at Boun area in Korea where suffered substantial landslide damage fellowing heavy rain in 1998, The factors are slope, aspect and curvature from the topographic database, soil texture, soil material, soil drainage, soil effective thickness, and topographic type from the soil database, forest type, timber diameter, timber age and forest density from the forest map, lithology from the geological database, land use from Landsat TM satellite image and lineament from IRS satellite image. Tests of conditional independence were performed for the selection of the factors, allowing the 43 combinations of factors to be analyzed. For the analysis, the contrast value, W$\^$＋/and W$\^$-/, as each factor's rating, were overlaid to map laudslide susceptibility. The results of the analysis were validated using the observed landslide locations, and among the combinations, the combination of slope, curvature, topographic, timber diameter, geology and lineament show the best results. The results can be used for hazard prevention and planning land use and construction

• 제어로봇시스템학회:학술대회논문집
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• 1992.10b
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• pp.79-84
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• 1992

Path planning is an important task for optimal motion of a robot in structured or unstructured environment. The goal of this paper is to plan the optimal collision-free path in 3D, when a robot is navigated to pick up some tools or to repair some parts from various locations. To accomplish the goal, the Path Coordinator is proposed to have the capabilities of an obstacle avoidance strategy and a traveling salesman problem strategy (TSP). The obstacle avoidance strategy is to plan the shortest collision-free path between each pair of n locations in 2D or in 3D. The TSP strategy is to compute a minimal system cost of a tour that is defined as a closed path navigating each location exactly once. The TSP strategy can be implemented by the Hopfield Network. The obstacle avoidance strategy in 2D can be implemented by the VGraph Algorithm. However, the VGraph Algorithm is not useful in 3D, because it can't compute the global optimality in 3D. Thus, the Path Coordinator is used to solve this problem, having the capabilities of selecting the optimal edges by the modified Genetic Algorithm and computing the optimal nodes along the optimal edges by the Recursive Compensation Algorithm.

• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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• 2006.11a
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• pp.323-326
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• 2006

The operation planning of multi-AUV is considered as a very difficult task. This paper proposes the qualitative method about the operation plan of multi-agents. In order to achieve this goal, it applies an extension collision map method as a tool to avoide collision between multi AUVs. This tool has been developed for the purpose of collision forecasting and collision avoidance for the multi - agents system in a land where a control is much easier. This paper analyzes the avoidance value of maximum path of AUV in order to apply this to a water environment where a tidal, a wave and disturbances are common. And it suggests the method that the maximum path avoidance can be applied to the collision avoidance on the extension collision map. Finally, the result proves that multi AUVs effectively navigates to the goal point, avoiding the collision by the suggested method.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.1
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• pp.18-22
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• 2009

Short-term load forecasting (STLF) is an important task in power system planning and operation. Its accuracy affects the reliability and economic operation of power systems. STLF is to be classified into load forecasting for weekdays, weekends, and holidays. Due to the limited historical data available, it is more difficult to accurately forecast load for holidays than to forecast load for weekdays and weekends. It has been recognized that the forecasting errors for holidays are large compared with those for weekdays in Korea. This paper presents a polynomial regression with data mining technique to forecast load for holidays. In statistics, a polynomial is widely used in situations where the response is curvilinear, because even complex nonlinear relationships can be adequately modeled by polynomials over a reasonably small range of the dependent variables. In the paper, the coefficient of determination is proposed as a selection criterion for screening weekday data used in holiday load forecasting. A numerical example is presented to validate the effectiveness of the proposed holiday load forecasting method.

• Journal of The Korea Institute of Healthcare Architecture
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• v.24 no.2
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• pp.55-64
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• 2018

Purpose: The ward division is a representative part of the hospital, where a variety of user activities are performed. Users can be broadly categorized as patients and carers, visitors, and medical staff (doctors and nurses). The relationship between these two is a major issue with ward planning as the patient's place of life centers around the hospital room and the task of the clinical workforce centers around the nursing station (NS). Against this backdrop, the study divides the ward units of the General Hospital of China into patient areas, medical team areas, supply areas, and public domain, with the focus on the ward areas affecting most significantly in the hospital patients. Methods: The theoretical advance studies of the standard ward unit are identified by the associated guidelines, articles, and documentation. Results: This study is a summary analysis of relevant regulations, reference literature, and drawing data from the target hospital. Further work is expected to be undertaken, including further surveys and observational surveys, to produce more detailed results. Implications: It is expected that the research in this paper will provide an effective reference for the future research of China General Hospital Ward department, so as to promote and improve the work system of China General Hospital Ward department.

• Korea Journal of Hospital Management
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• v.16 no.1
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• pp.124-141
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• 2011

The purpose of this study was to analyze of hospital administrator based on the DACUM(Developing A Curriculum) method. The contents of this study were to extract the duties, tasks consisting of job of hospital administrator and to investigate levels of importance, difficulty, frequency and entry level on each task, and to make out a job model of hospital administrator. A DACUM committee was composed to analyze job of hospital administrator and the committee members were total 9, a facilitator, 7 hospital administrator and a recorder. The major findings of this study were as the followings; first, duties in job of hospital administrator were total 13, which were organization of hospital administration affairs, health insurance review & assessment, general affairs, personnel management, hospital planning & management, medical quality improvement, hospital financial affairs, logistics management, facilities management, computerized system management, education & study supports, medical staffs' perceptions of service quality both directly and indirectly through their perceptions of patient orientation. These findings implied that HPWS would be a way of survival in drastically changing hospital environments.

• Journal of Construction Engineering and Project Management
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• v.2 no.2
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• pp.36-44
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• 2012

Adoption and practical application of BPM yet remains at a theoretic and methodological level for many industrial sectors. As for construction industry, adapting BPM into enterprise resource across all business processes could cause problems due to rapid change in corporate operation systems. Furthermore, it is unable to predict potential risks of business process while BPM are being applied. Therefore, applying BPM model to core strategy and individual task seems more effective than applying BPM model to the entire enterprise resource planning. In this paper, we define BPM and suggest a BPM model by analyzing each business unit in order to evaluate each business unit which is included in the business process architecture based on quantitative standards. This paper also presents a sequential application plan for business process model. Finally, a case study is demonstrated for the application of BPM system, focusing on cost management business, which turned out to be a top priority in the aspect of efficiency and ease based on priority analysis.

• Korean Institute of Interior Design Journal
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• no.29
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• pp.273-280
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• 2001

In architecture, each project participant must maintain organic relationship with others. However, current practices are rather procedural and discrete than organic, which result in considerable inefficiencies. The cool-downs of Korean construction market also force the architects to be familiar with the new construction methods and systems. This research mainly focuses on the pre-development stage of such systems, analysing relationships between the information of architectural design and other parts of construction information like structure, construction, environment, and so forth. The result of analysis can be organized into attributes of members in a physical building, which can be modeled in a 3D system. The resulting model can be used for automated generation of drawing, Bill of Materials, finite element meshes for structural analysis and energy analysis, etc. by extracting meaningful information from it. Hence, the purpose of this research is to analysis the relationship among domain-specific information (e.g. structural engineering, construction detail, energy evaluation) that are represented in drawings, and to represent the attributes of the information relevantly so that they can be applied to each unit task that forms the whole project. Therefore, an object oriented methodology is introduced to compose design informations in three dimension, and expressing properties of building factors and materials, and to construct a database for computers to recognize architecture informations.

• The KIPS Transactions:PartD
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• v.12D no.5 s.101
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• pp.745-754
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• 2005

Defence Information System has surely required the guarantee of interoperability between systems as performing task oriented functions. To improve interoperability between them and use the benefits of component based development, defense officers are planning to develop COE like a kind of component bank concept. Defense component development methodology(ADDMe) within COE is a new approach of component based methodology for Defense environment after comparing, analyzing, and synthesizing with traditional CBDs. In this paper we introduce advanced defense component development methodology(ADDMe) and present checklist for improving interoperability between Defence component based systems which are developed with ADDMe. With our proposed interoperability's checklist, we can improve interoperability of defense component based systems through applying per each phase of ADDMe.

• Proceedings of the Korean Society for Rock Mechanics Conference
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• 2008.10a
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• pp.43-51
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• 2008

Currently an increasing number of urban tunnels with small overburden are excavated according to the principle of the New Austrian Tunneling Method (NATM). For rational management of tunnels from planning to construction and maintenance stages, prediction, control and monitoring of displacements of and around the tunnel have to be performed with high accuracy. Computational method tools, such as finite element method, have been and are indispensable tool for tunnel engineers for many years. It is, however, a commonly acknowledged fact that determination of input parameters, especially material properties exhibiting nonlinear stress-strain relationship, is not an easy task even for an experienced engineer. Use and application of the acquired tunnel information is important for prediction accuracy and improvement of tunnel behavior on construction. Artificial Neural Network (ANN) model is a form of artificial intelligence that attempts to mimic behavior of human brain and nervous system. The main objective of this paper is to perform the deformation analysis in NATM tunnel by means of numerical simulation and artificial neural network (ANN) with field database. Developed ANN model can achieve a high level of prediction accuracy.