• The KIPS Transactions:PartA
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• v.15A no.2
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• pp.75-86
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• 2008

Black/white comic rendering is one of the researches in the field of non-photorealistic rendering(NPR). Black/white comics have been produced manually as yet. But these previous systems require lots of time and manual work. So we propose the COmics Rendering system on VIdeo Stream (CORVIS) which transforms video streams into black/white comic cuts. Stylized font, one of comic representations, can be used to express onomatopoeic words and mimetic dialogue exaggeratively. But current comic generation systems do not provide enough effects of stylized font. This paper proposes a model for stylized fonts to express various effects. Effects of stylized fonts we proposed include geometric deformations. Thus we could represent stylized fonts on the still cut of movies and the background texture on a cuts of plain black/white comics. The final quality of our system produced is good enough to compare with manual black/white comics.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.1
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• pp.1-8
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• 2004

According to the development of the Internet and the pervasion of Data Base, it is not easy to search for necessary information from the huge amounts of data. In order to do efficient analysis of a large amounts of data, this paper proposes a method for pattern classification based on the effective strategy for dimension reduction for narrowing down the whole data to what users wants to search for. To analyze data effectively, Radial Basis Function Networks based on VC-dimension of Support Vector Machine, a model of statistical teaming, is proposed in this paper. The model of Radial Basis Function Networks currently used performed the preprocessing of Perceptron model whereas the model proposed in this paper, performing independent analysis on VD-dimension, classifies each datum putting precise labels on it. The comparison and estimation of various models by using Machine Learning Data shows that the model proposed in this paper proves to be more efficient than various sorts of algorithm previously used.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.3
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• pp.66-77
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• 2014

UTIS(Urban Traffic Information System) directly collects link travel time in urban area by using probe vehicles. Therefore it can estimate more accurate link travel speed compared to other traffic detection systems. However, UTIS includes some missing data caused by the lack of probe vehicles and RSEs on road network, system failures, and other factors. In this study, we suggest a new model, based on k-NN algorithm, for imputing missing data to provide more accurate travel time information. New imputation model is an adaptive k-NN which can flexibly adjust the number of nearest neighbors(NN) depending on the distribution of candidate objects. The evaluation result indicates that the new model successfully imputed missing speed data and significantly reduced the imputation error as compared with other models(ARIMA and etc). We have a plan to use the new imputation model improving traffic information service by applying UTIS Central Traffic Information Center.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.1159-1163
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• 2010

최근의 극심한 기상이변으로 인하여 발생되는 유출량의 예측에 관한 사항은 치수 이수는 물론 방재의 측면에서도 역시 매우 중요한 관심사로 부각되고 있다. 강우-유출 관계는 유역의 수많은 시 공간적 변수들에 의해 영향을 받기 때문에 매우 복잡하여 예측하기 힘든 요소이다. 과거에는 추계학적 예측모형이나 확정론적 예측모형 혹은 경험적 모형 등을 사용하여 유출량을 예측하였으나 최근에는 인공신경망과 퍼지모형 그리고 유전자 알고리즘과 같은 인공지능기반의 모형들이 많이 사용되고 있다. 하지만 유출량을 예측하고자 할 때 학습자료 및 검정자료로써 사용되는 유출량은 수위-유량 관계곡선식으로부터 구하는 경우가 대부분으로 이렇게 유도된 유출량의 경우 오차가 크기 때문에 그 신뢰성에 문제가 있을 것으로 판단된다. 따라서 본 논문에서는 선행우량 및 수위자료로부터 단시간 수위예측에 관해 연구하였다. 신경망은 과거자료의 입 출력 패턴에서 정보를 추출하여 지식으로 보유하고, 이를 근거로 새로운 상황에 대한 해답을 제시하도록 하는 인공지능분야의 학습기법으로 인간이 과거의 경험과 훈련으로 지식을 축적하듯이 시스템의 입 출력에 의하여 연결강도를 최적화함으로서 모형의 구조를 스스로 조직화하기 때문에 모형의 구조에 적합한 최적 매개변수를 추정할 수 있다. 따라서 정확한 예측이 어려운 하천수위를 과거의 자료로 부터 학습된 신경망의 수학적 알고리즘을 통해 유출량의 예측에 적용할 수 있을 것이다. 유전자 알고리즘은 적자생존의 생물학 원리에 바탕을 둔 최적화 기법중의 하나로 자연계의 생명체 중 환경에 잘 적응한 개체가 좀 더 많은 자손을 남길 수 있다는 자연선택 과정과 유전자의 변화를 통해서 좋은 방향으로 발전해 나간다는 자연 진화의 과정인 자연계의 유전자 메커니즘에 바탕을 둔 탐색 알고리즘이다. 즉, 자연계의 유전과 진화 메커니즘을 공학적으로 모델화함으로써 잠재적인 해의 후보들을 모아 군집을 형성한 뒤 서로간의 교배 혹은 변이를 통해서 최적 해를 찾는 계산 모델이다. 따라서 본 연구에서는 인공신경망의 가중치를 유전자 알고리즘에 의해 최적화시킨후 오류역전파알고리즘에 의해 신경망의 학습을 진행하는 모형으로 감천유역의 선산수위표지점의 수위를 1시간~6시간까지 예측하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.640-644
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• 2010

하천, 호소 등에서 공사 시 준설작업으로 인해 고탁수가 발생되며 이러한 탁수의 이송 확산은 수환경에 변화를 초래한다. 탁수는 준설작업 시 커터헤드(cutter head)가 해저면에 닿는 순간부터 작동을 멈출 때까지 계속하여 발생하며, 이러한 과정들이 반복되면서 많은 양의 부유토사가 발생하게 되고 고탁수현상이 일어난다. 이렇게 발생한 탁수는 수체흐름에 따라 이송 및 확산된다. 탁수발생은 수중의 빛 투과를 감소시켜 일차 생산자인 부유성 및 부착조류의 생육을 저해하고, 이들의 생산성 감소와 군집구성의 변화는 수서생태계의 먹이사슬을 통해 이들을 먹이로 하는 저서무척추동물과 어류의 현존량 감소와 종 구성에 영향을 미치고, 고농도의 현탁 입자는 어류 아가미에 염증을 유발하거나 점막의 파괴와 감염을 유발하여 치사시킬 수도 있다. 또한 과도한 부유 입자는 하류로 침강되어 하천 바닥에 서식하는 부착조류, 무척추 동물 및 곤충의 생육에 피해를 주고, 이것은 어류의 먹이에 영향을 미쳐 어류 개체수를 감소시키거나 산란된 물고기 알을 매몰시키거나 질식시키는 등 여러 가지 방법으로 수서생물상에 영향을 미치게 된다.(낙동강수계관리위원회, 2005) 따라서 준설작업에 있어 탁수의 이송 확산범위를 사전에 예측하고 국내 실정과 환경여건에 알맞게 적용되고, 실용화될 수 있는 수치모델링에 대한 기반핵심 기술개발이 필요하다. 현재 낙동강에서 진행되고 있는 준설현장에서 발생하는 부유탁수의 이송 확산과정을 이차원 흐름해석모형인 RAM2 모형과 오염물 이송 확산해석모형인 RAM4 모형을 이용하여 수치해석을 하고 분석함으로써 수치해석에 의한 부유탁수의 이송 확산모의 결과가 환경영향 범위를 예측하는 데에 적용될 수 있는지를 알아보고자 한다.

• The KIPS Transactions:PartD
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• v.8D no.6
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• pp.813-822
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• 2001

In this paper we proposed four data migration methods based on time segmented storage structure including past segment, current segment, and future segment. The migration methods proposed in this paper are the Time Granularity migration method, the LST-GET (Least valid Start Time-Greatest valid End Time) migration method, the AST-AET (Average valid Start Time-Average valid End Time) migration method, and the Min-Overlap migration method. In the each data migration method we define the dividing criterion among segments and entity versions to store on each segment. We measured the response time of queries for the proposed migration methods. When there are no LLTs (Long Lived Tuples), the average response time of AST-AET migration method and LST-GET migration method are smaller than that of Time Granularity migration method. In case of existing LLT, the performance of the LST-GET migration method decreased. The AST-AET migration method resulted in better performance for queries than the Time Granularity migration method and the LST-GET migration method. The Min-Overlap migration method resulted in the almost equal performance for queries compared with the AST-AET migration method, in case of storage utilization more efficient than the AST-AET.

• The Transactions of the Korea Information Processing Society
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• v.6 no.9
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• pp.2373-2383
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• 1999

Recently, due to the popularity of object-oriented programming languages, object-oriented modeling and development methodologies become widely applied to information system development. When object-oriented methodology is adopted, using object-oriented modeling languages for business analysis and redesign has the advantages such that business modeling results can be easily understood and referred by information system developers. In this paper, UML-B, Unified Modeling Language extension for Business modeling is proposed, which uses UML notation for modeling organization structure, actors, use cases, business processes, and entities in business systems. It also utilizes extension mechanisms of UML to facilitate business modeling activities, and supports business process reengineering with object-oriented modeling.

• Journal of the Korea Institute of Military Science and Technology
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• v.17 no.2
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• pp.235-247
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• 2014

Based on two dimensional model partition method proposed in Part 1, Part 2 provides detailed model specification and implementation. To mathematically delineate a model's behaviors and interactions among them, we extend the DEVS (Discrete Event Systems Specification) formalism and newly propose CE-DEVS (Combat Entity-DEVS) for an upper abstraction sub-model of a combat entity model. The proposed CE-DEVS additionally define two sets and one function to reflect essential semantics for the model's behaviors explicitly. These definitions enable us to understand and represent the model's behaviors easily since they eliminate differences of meaning between real-world expressions and model specifications. For model implementation, upper abstraction sub-models are implemented with DEVSim++, while the lower sub-models are realized using the C++ language. With the use of overall modeling techniques proposed in Part 1 and 2, we can conduct constructive simulation and assess factors about combat logics as well as battle field functions of the next-generation combat entity, minimizing additional modeling efforts. From the anti-torpedo warfare experiment, we can gain interesting experimental results regarding engagement situations employing developing weapons and their tactics. Finally, we expect that this work will serve an immediate application for various engagement warfare.

• Journal of the Korea Institute of Military Science and Technology
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• v.17 no.2
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• pp.223-234
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• 2014

This paper proposes a flexible and highly reusable modeling methodology for a next-generation combat entity which enables joint analysis of performance/engagement effectiveness. According to the scope of the proposed work, the paper is divided into two parts; Part 1 focuses on a conceptual model design, whereas Part 2 proposes detailed model specification and implementation. In Part 1, we, first, classify the combat entity model as combat logic and battlefield function sub-models for joint analysis. Based on the sub-models, we propose two dimensional model partition method, which creates six groups of a single combat entity model by two dimensions: three-activity and two-abstraction. This grouping enables us to reconfigure the combat entity model by sharing the same interface within the group, and the same interface becomes the fundamental basis of the flexible model composition. Furthermore, the proposed method provides a model structure that effectively reflects the real world and maximizes the multi-level reusability of a combat entity model. As a case study, we construct a model design for anti-surface ship warfare. The case study proves enhancement of model reusability in the process of scenario expansion from pattern running to wire guided torpedo operations.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.7
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• pp.1303-1311
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• 2009

This paper describes a new visual VR authoring tool called DEVISE (Drawing Environment for VR-based Inquiry-learning Science Education) which is designed to support scientific inquiry learning. DEVISE allows users with no programming expertise to easily build the science inquiry learning VR contents by using 2D drawing interface to place 3D objects and specify properties of the virtual worlds or objects. This paper first describes the related works of VR authoring tools and inquiry learning virtual environments. It also explains SASILE, an integrated virtual environment system for supporting science inquiry learning, and its problems. Then, it describes DEVISE system components and its workflow, and it discusses the observation results of user evaluations of developing science inquiry-learning VR contents.