• Journal of the Korean Operations Research and Management Science Society
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• v.23 no.2
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• pp.103-129
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• 1998

Corporate level decision making with multiple decision makers in a consistent way is essential in Decision Support System. However, since the decision makers have different interests and knowledge, the models used by them are also different in their level of abstraction. This makes decision makers waste a lot of efforts for an integrated decision making. The purpose of this paper is to propose an integration mechanism so that collaborative decision making models may be used synthetically in multi-abstraction level. Models are classified as multimedia model, mathematical model, qualitative model, causal ＆ directional model, causal model, directional model and relationship model according to the level of abstraction. The proposed integration mechanism consists of model interpretation phase. model transformation phase, and model integration phase. Specifically, the model transformation Phase is divided into (1) model tightening mode which gather information to make a model transformed into upper level model, and (2) model relaxing mode which makes lower level model. In the model integration phase, models of same level are to be integrated schematically. An illustrative M＆A-decision example is given to show the possibility of the methodology.

• Journal of Arbitration Studies
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• v.20 no.2
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• pp.91-130
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• 2010

This thesis, which mainly focuses on judicial supervision of commercial arbitration in China, will deal with the developing process of arbitration system and analyze the actual condition of judicial supervision in commercial arbitration. And it also focuses on the underlying problems attributed to the excessive judicial intervention and an effort that the related academic world, arbitration industry and legal circles in China start to make in order to improve the system, resolving them. About the time China became a member of the WTO and about the 10th anniversary of the enforcement of Arbitration Law, powerful demands to solve the problems started to exist intensively. Academic field in China integrated these demands into the form of "proposed amendment of arbitration law", which enhanced the independence of arbitration and the autonomy of the involved parties drastically, as it accepted major contents of UNCITRAL Model Law while preserving of original tool of Chinese arbitration system. Separately from the movement in academic field, Supreme People's Court starts to exert itself for the, improvement of arbitration system, by announcing a series of proposed judicial interpretation so that it could collect the public opinion continuously and reflect the gathered opinion in judicial interpretation efficiently. Notwithstanding, there still remains to be ameliorated that the Arbitration Law of the PRC won't be able to overcome original limit when valuating judicial intervention on arbitration in some ways.

• 한국지구물리탐사학회:학술대회논문집
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• 2003.11a
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• pp.390-397
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• 2003

A three-dimensional (3D) inversion technique has been developed for interpretation of magnetotelluric (MT) data. The inversion method is based on the linearized least-squares (Gauss-Newton) method with smoothness regularization. In addition to the underground 3D resistivity distribution, static shifts are also treated as unknown parameters in the inversion. The forward modeling is by the staggered-grid finite difference method. A Bayesian criterion ABle is applied to search the optimum trade-off among the minimization of the data misfit, model roughness and static shifts. The method has been applied to several MT datasets obtained at geothermal fields in Japan and other Asian countries. In this paper, two examples will be discussed: one is the data at the Ogiri geothermal area, southwestern Japan, and the other is at the Pohang low-enthalpy geothermal field, southeastern Korea. The inversion of the Ogiri data has been performed stably, resulting in a good fitting between the observed and computed apparent resistivities and phases. The recovered 3D resistivity structure is generally similar to the two-dimensional (2D) inversion models, although the deeper portion of the 3D model seems to be more realistic than that of the 2D model. The 3D model is also in a good agreement with the geological model of the geothermal reservoirs. 3D interpretation of the Pohang MT data is still preliminary. Although the fitting to the observed data is very good, the preliminary 3D model is not reliable enough because the station coverage is not sufficient for a 3D inversion.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.129-148
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• 2023

Bitcoin is a blockchain technology-based digital currency that has been recognized as a representative cryptocurrency and a financial investment asset. Due to its highly volatile nature, Bitcoin has gained a lot of attention from investors and the public. Based on this popularity, numerous studies have been conducted on price and trend prediction using machine learning and deep learning. This study employed LSTM (Long Short Term Memory) and CNN (Convolutional Neural Networks), which have shown potential for predictive performance in the finance domain, to enhance the classification accuracy in Bitcoin price trend prediction. XAI(eXplainable Artificial Intelligence) techniques were applied to the predictive model to enhance its explainability and interpretability by providing a comprehensive explanation of the model. In the empirical experiment, CNN was applied to technical indicators and Google trend data to build a Bitcoin price trend prediction model, and the CNN model using both technical indicators and Google trend data clearly outperformed the other models using neural networks, SVM, and LSTM. Then SHAP(Shapley Additive exPlanations) was applied to the predictive model to obtain explanations about the output values. Important prediction drivers in input variables were extracted through global interpretation, and the interpretation of the predictive model's decision process for each instance was suggested through local interpretation. The results show that our proposed research framework demonstrates both improved classification accuracy and explainability by using CNN, Google trend data, and SHAP.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.10a
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• pp.15-15
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• 2017

• Journal of Magnetics
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• v.4 no.1
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• pp.22-25
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• 1999

Recently we reported the evolutionary transition from the positive magnetoresistance to the negative was discovered in the transverse configuration as the thickness of permalloy film increases. The discovered peculiarities of positive magnetoresistance phenomenal were explained in the framework of the uniform rotation model of the film magnetization reversal.

• Journal of the Korean association of regional geographers
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• v.20 no.1
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• pp.70-91
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• 2014

There have been a lot of efforts to adapt climate change around the world, and Korea is no exception. The low carbon green cities for overseas have had many different forms through their own special models and strategies. Korea needs a model and strategy of Korean low carbon green city, which is suitable for Korea climate and topography. This study pays attention to the Pungsu, which is Korean traditional thinking system for space, and examines the way for selecting locations and space planning to create the Korean low carbon green city through the contemporary interpretation of the Pungsu. For this purpose, first of all, this study makes efforts for the contemporary interpretation of the past Pungsu theory from the modern city's perspective, through understanding the difference between the Korea's historic villages(cities) and the modern cities. Based on the contemporary interpretation of the Pungsu theory, this study finds ways of application the system on selecting locations and space planning in the Pungsu theory to create the Korean low carbon green city.

• Journal of the HCI Society of Korea
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• v.8 no.1
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• pp.19-28
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• 2013

As yet the use of 3D scanning technology has been limited to documentation, preservation and monitoring in cultural and natural heritage domain. Appropriate visualization of precise geometric information in scan data can support scientific interpretation of the domain experts. We studied the rendering techniques which visualize the required features from scanned models, and proposed a 3D scan data visualization pipeline, rendering methods, and a classification scheme. As a case study, we analyzed the traditional method in the study of dinosaur tracks and performed the visualization of 3D scanned models. A user test based on the result confirmed an effectiveness of the proposed method. This research showed a practical method in which 3D scanned models can be used to effective interpretation of heritage.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1997.10a
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• pp.101-104
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• 1997

Providing information on corporate level decision making for multiple decision makers in a consistent way is essential in Decision Support Systems. However, since the decision makers have different background and knowledge, the models used by them are also different in representation models. This makes the decision makers require a lot of efforts for model integration in an integrated decision making. The purpose of this paper is to propose an integration mechanism for synthetic use of multi-abstraction level decision making models. The proposed integration mechanism consists of model interpretation phase, model transformation phase and model integration phase. Specifically, the model transformation phase is divided into model tightening mode which gather information to makes a model transformed into upper level model, and model relaxing mode which makes lower level model.

• ETRI Journal
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• v.26 no.3
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• pp.269-272
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• 2004

We propose an efficient scheme for camera motion characterization in MPEG-compressed video. The proposed scheme detects six types of basic camera motions through threshold-based qualitative interpretation, in which fixed thresholds are applied to motion model parameters estimated from MPEG motion vectors (MVs). The efficiency and robustness of the scheme are validated by the experiment with real compressed video sequences.