• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.296-300
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• 2012

최근 지구 온난화에 따른 이상 기후변화로 인해 게릴라성 집중호우와 같은 다양한 강우패턴이 발생되고 있다. 특히 집중호우의 빈도 및 규모가 커지고 있으며 피해 또한 증가하고 있다. 이에 대한 대안으로 하도의 정비, 댐 건설, 제방의 증고와 같은 구조적인 대책과 홍수예경보, 홍수보험, 통합홍수관리와 같은 비구조적인 대책에 대한 접근이 이루어지고 있다. 그러나 미래 기후변화에 대한 예측의 한계와 구조적 대책의 물리적 한계를 감안할 때 구조적 대책에 의한 방법만으로 변화하는 기후에 대응하여 홍수재해를 완벽하게 대처하기에는 부족한 것이 사실이다. 따라서 비구조적 대책에 의한 홍수피해저감이 절실히 필요하다. 따라서 본 연구에서는 국제수문개발계획 대표유역인 낙동강유역에 위치한 위천유역을 연구대상으로 선택하였고 이러한 중소규모의 유역에서 홍수예경보의 한계를 극복하고 신뢰성을 높이기 위하여 홍수유출시에 일어나는 유역내의 복잡한 물리적인 현상을 직접 고려하지 않고 입력자료와 출력자료의 관계로부터 학습과 추론을 통해 결론을 도출해내는 신경망, 퍼지, 유전자 알고리즘과 같은 Date Mining 기법을 사용하여 자동우량과 자동수위에 의한 하류 홍수예경보시스템을 구축하기 위해 수위를 예측하였다.

• The KIPS Transactions:PartD
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• v.13D no.4 s.107
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• pp.491-500
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• 2006

Since users want to have services correctly in their own position and surrounding circumstance in ubiquitous computing environment, it is very important to search, compose basic services and provide suitable services according to various circumstances. However existing techniques have been studied on service discovery mainly and lack consideration for position or preference of users. Furthermore, on service composition, they lists basic services simply and do not propose concretely method of use service history data for service composition. Therefore we propose a framework for context-based service provisioning middleware system, called COSEP, and Ontology engine with data ming. This research discovers services by reacting dynamically to circumstance information such as time and position of user, composites services using Ontology engine with data ming and offers newly created optimal services to users.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.10a
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• pp.144-145
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• 2008

본 연구는 라이다 자료를 이용하여 건물영역을 추출하고 건물모델을 구성하는 선형과 면요소들을 추출하는 기법을 제시하였다. 라이다 자료는 지형지물의 표고값을 정확하고 직접적인 방식으로 제공함으로써 기존의 항공사진에 비하여 매칭과정을 필요로 하지 않는 장점을 가지고 있다. 하지만 라이다 점들은 해당 수평위치에 대한 표고값만을 제공하기 때문에 지표 위의 지형지물들을 추출하기 위해서는 먼저 점들간의 기하학적인 관계를 분석하여 그들을 구성하는 선이나 면요소들을 추출해야 한다. 이를 위하여 본 연구에서는 먼저 라이다 자료를 라스터 형태로 변환한 후, 이미지 프로세싱을 통하여 상대적으로 낫은 영역과 높은 영역으로 분리하여 각각 지형과 건물영역으로 분류하였다. 다음으로 건물영역 경계로부터 건물 외곽선을 추출하고 건물영역 내에 면요소들을 통계분석을 통하여 추출하였다. 실험결과를 통하여 제시한 기법들은 비교적 복잡한 형태의 건물 지붕면과 외곽선을 성공적으로 분할하고 추출할 수 있음을 보여준다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10b
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• pp.160-162
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• 2001

최근 대용량의 데이터베이스로부터 유용한 정보를 발견하고 데이터간에 존재하는 연관성을 탐색하고 분석하는 데이터 마이닝에 관한 많은 연구들이 진행되고 있다. 실제 응용분야에선 수집된 데이터는 시간이 지날수록 데이터의 양이 늘어나게 되고, 중복되는 속성과 잡음을 갖게 되어 마이닝 기법을 이용하는데 많은 시간과 비용이 소요된다. 또한 어느 속성이 중요한지 알 수 없어 중요한 속성이 중요하지 않은 속성에 의해 왜곡되거나 제대로 분석되지 않을 수 있다. 이 논문은 이러한 문제점들을 해결하기 위해, 대용량의 데이터에 적용할 수 있고 데이터에서 알려지지 않은 패턴을 발견할 뿐만 아니라, 사용자가 얻고자 하는 출력을 생성할 수 있는 혼합형 신경망 클러스터링 기법을 제안한다. 그리고 알고리즘의 타당성을 검증하기 위해 몇 가지 벤치마크데이터를 이용하여 본 논문의 타당성을 보인다.

• Korean Journal of Heritage: History & Science
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• v.46 no.3
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• pp.172-193
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• 2013

This study examines the production techniques and raw materials shown in the Korean dried-lacquer statues of Buddha through a careful observation of the Seated Dried-lacquer Bodhisattva Statue from the late Goryeo Dynasty which is currently possessed by Okura Museum of Art in Tokyo. As a method of study, the X-ray data and the results from a field survey were combined to analyze the production techniques and the characteristics of raw materials. Based on this analysis, a hypothesis was established on the production process and verified through a reenactment of the actual production process. Then, the characteristics of the techniques applied to each process and the raw materials were recorded in detail. Specifically, the dried lacquer techniques and the raw materials were estimated based on the results of naked-eye observation in comparison with the literature, especially the records of "Xiu Shi Lu" written by Huang Cheng of the Ming Dynasty which is considered as 'the textbook of lacquer techniques.' The raw materials used in the production of the traditional Korean lacquerware inlaid with mother-of-pearl were also referenced. As a result, it was found that the features of production techniques and the raw materials found in the Statue at Okura Museum of Art have many similarities with those of the Seated Dried-lacquer Statue of Lohan (Arhat) from Yuanfu 2 Nian Ming (1098) of the Song Dynasty which is currently at the Honolulu Museum of Art. In particular, the similarities include that the interior of the statue being vacant because the clay and the wood core were not replaced after being removed from the prototype, that the complete form was made in the clay forming stage to apply the lacquer with baste fiber fabric, that the clay and the wood core were removed through the bottom of the statue, and that the modeling stage was omitted and the final coat over the statue is very thin. Additionally, decorating with ornaments like Bobal and Youngrak made of plastic material was a technique widely popular in the Song Dynasty, suggesting that the Seated Dried-lacquer Bodhisattva Statue in Okura Museum of Art was greatly affected by the production techniques of the Dried-lacquer Buddha Statue from the Song Dynasty. There is no precise record on the origin and history of the Korean Dried-lacquer Buddha Statues and the number of existing works is also very limited. Even the records in "Xuanhe Fengshi Gaoli Tujing" that tells us about the origin of the Dried-lacquer Buddha Statue from the Yuan Feng Period (1078~1085) do not indicate the time of transmission. It is also difficult to trace the clear route of transmission of production techniques through existing Dried-lacquer Buddha Statues. Fortunately, this study could at least reveal that the existing Dried-lacquer Buddha Statues of Korea, including the one at Okura Museum of Art, have applied the production techniques rather differently from those used in the production of Japanese Datsukatsu Dried-lacquer Buddha Statues that have been known as the standard rule in making dried-lacquer statues of Buddha for a long time.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.6
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• pp.1033-1041
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• 2017

Path travel time based on departure time (PTTDP) is key information in advanced traveler information systems (ATIS). Despite the necessity, forecasting PTTDP is still one of challenges which should be successfully conquered in the forecasting area of intelligent transportation systems (ITS). To address this problem effectively, a methodology to dynamically predict PTTDP between motorway interchanges is proposed in this paper. The method was developed based on the relationships between traffic demands at motorway tollgates and PTTDPs between TGs in the motorway network. Two different data were used as the input of the model: traffic demand data and path travel time data are collected by toll collection system (TCS) and dedicated short range communication (DSRC), respectively. The proposed model was developed based on k-nearest neighbor, one of data mining techniques, in order for the real applications of motorway information systems. In a feasible test with real-world data, the proposed method performed effectively by means of prediction reliability and computational running time to the level of real application of current ATIS.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.2
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• pp.219-224
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• 2017

These days, it is developed renewable energy-based wind power technology. Wind power generation is relatively quiet, and environmental damage is relatively low. In developed countries, a lot of wind power generation is being built. In Korea, the generation efficiency is low because there are few areas where the wind speed is maintained for four seasons. In recent years, forest damage, low noise, and environmental degradation complaints are frequent. In this paper, we performed an experiment to manage pitch control effectively by analyzing wind, direction, and temperature in real time based on FUZZY rule and cluster analysis.Using the new algorithm proposed by the simulation results, we could verify the efficiency of wind power generation pitch control for wind condition and direction condition by using the pitch control analysis technique.Furthermore, visualization representations have proven to automatically analyze early warning and efficiency of generator performance.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.61 no.1
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• pp.179-185
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• 2012

Since the eco-era is getting closer, the importance of noise reducing in the passenger cars of high-speed train is very important. The active noise control is best choice to reduce low frequency noise because the passive one is too heavy for high speed trains where weight is so critical. Also ANC is able to reduce the ambient noise when the environmental-factor changes. To reduce a three-dimensional closed-space sound field like a car of a high-speed rail is hard to do using single channel ANC control system. We used multi-channel FXLMS algorithm which calculation speed is fast and the secondary path estimation is possible in order to take into account the physical delay in electro acoustic hardware control loudspeaker and power amplifier. Firstly, we have measured interior noise of KTX and estimated noise path in KTX test-bed. However there was some problem related to algorithm divergence and increasing the filter order. We have made a simulation of interior environment of KTX car by using three frequency bands of 120Hz, 280Hz, 360Hz as the most important for KTX ANC system. During this research the interior noise reduction of KTX car was made by using the multi-channel FXLMS algorithm. Reduction performance was evaluated and compared each other for open space section and tunnel section. in-situ experiment for the KTX noise reduction by proposed ANC was performed based on data obtained in simulation and they were compared for open space section and tunnel section as well.

• Journal of Distribution Science
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• v.10 no.5
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• pp.29-36
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• 2012

This paper aims to establish a Fengshui-based marketing model that companies engaged in selling dwelling spaces can utilize to increase their sales. The study is based on an investigation of appraisal statements and analysis techniques used in Fengshui. The Fengshui marketing model can be used for corporate advertising, sales promotions, public relations events, and for framing an overall marketing strategy according to changing consumer demand. As a sales promotion strategy, it can be used to influence consumer psychology and behavior. Although this study is limited to the all-pervasive advertising and marketing of houses by construction companies under installment plans, the Fengshui marketing method can also be used for the sale of store locations, space for product display, and so on. Initially, I analyze living spaces according to traditional Fengshui theory, and subsequently apply the modern method to study topographical space structures and geomagnetism disturbances. I present a standard form for writing the Fengshui appraisal statement based on the objective analytical method of Fengshui. With its shortcomings remedied, the appraisal statement can lead to high-quality advertising and increased valuations because it is based on objective data analysis and systematic evaluation of houses. In brief, I have designed the Fengshui marketing model as a sales promotion technique for the housing industry. I believe this study will contribute to the application of Fengshui in the housing industry's sales promotion efforts through high-quality advertising. Future research should evaluate Fengshui marketing in the housing industry based on case studies. Research questions to be addressed could include how Fengshui marketing has affected installment sales of houses and how Fengshui architectural practices affect general well-being. These studies would help propagate Fengshui marketing by validating its effectiveness. In addition, case studies should be undertaken to consider the practical applications of Fengshui marketing, how it can contribute to maximizing a company's image and profits, and how it can promote customer satisfaction.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.12
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• pp.1825-1836
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• 2008

Many applications in computer graphics require complex and highly detailed models. However it is often desirable to use approximations in place of excessively detailed models in order to control the processing time. Thus, we aim to develop a notion of optimal matrix to simplify surface which can rapidly obtain the high quality 2D patterns flattening 3D surface as follows. Firstly, two 3D bodies are modeled based on existing Size Korea data. Secondly, each model is divided by shell and block for its pattern draft. Thirdly, each block is flattened by grid and bridge method. Finally, we selected the optimal matrix and demonstrated the efficiency and quality of the proposed method. This proposed approach accommodates surfaces with darts, which are commonly used in the clothing industry to reduce the deformation of surface forming and flattening. The resulting optimal matrix could be an initiation of standardization for pattern flattening. It is expected that this method could facilitate much better approximation in both efficiency and precision.