• Proceedings of the KIEE Conference
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• 1993.07a
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• pp.195-197
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• 1993

This raper describes a nev program designed as a part of the integrated software package for distribution system planning and operation. The program accesses electrical map databases which include both electrical and geographical information. Data retrieval, load flow analyses, and reconfiguration studies can be easily performed in highly interactive environment on graphics and pull down menus, case study results demonstrate the practical usefulness of the program at the real systems.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06c
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• pp.406-407
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• 2012

Texture transfer is a NPR technique for expressing various styles according to source (reference) image. By late 2000s, there are many texture transfer researches. But video base researchers are not active. Moreover, they didn't use important feature like directional information which need to express detail characteristics of target. So, we propose a new method to generate texture transfer animation (using video) with directional effect for maintaining temporal coherence and controlling coherence direction of texture. For maintaining temporal coherence, we use optical flow and confidence map to adapt for occlusion/disocclusion boundaries. And we control direction of texture for taking structure of input. For expressing various texture effects according to different regions, we calculate gradient based on directional weight. With these techniques, our algorithm can make animation result that maintain temporal coherence and express directional texture effect. It is reflect the characteristics of source and target image well. And our result can express various texture directions automatically.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.296-296
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• 2019

전 세계적으로 기후변화로 인한 국지성 집중호우 및 태풍으로 인한 피해가 지속적으로 발생하고 있으며, 그에 따른 2차 피해인 산사태 및 토석류 피해 또한 증가하고 있는 추세이다. 최근 국내의 산사태 및 토석류에 대한 선행연구는 지속적으로 수행되고 있으나, 산사태 및 토석류 위험성이 높은 구간, 즉, 발생기작을 판단할 수 있도록 지표화 해놓은 것이며, 현재 피해예측지도 및 피해 하류부의 시설물을 고려한 연구는 미비한 실정이다. 따라서 본 연구에서는 강우-유출모형인 S-RAT모형 및 토석류 수치해석 프로그램 RAMMS 모형을 이용하여 산사태 및 토석류 피해를 극대화 시키는 인자인 토석유동심(H), 토석유속(V)을 이용하여 토석류피해예측지도를 작성하였으며, 피해 하류부의 시설물을 건물 유형별 시설물의 중요도로 구분하였다. 또한 작성된 피해예측지도 및 시설물 중요도를 중첩하여 위험성 지도를 제시하였다.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.2
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• pp.19-28
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• 2019

The purpose of this study is to examine the trends on machine learning and deep learning research in the published journals from the Web of Science Database. To achieve the study purpose, we used the abstracts of 20,664 articles published between 1990 and 2017, which include the word 'machine learning', 'deep learning', and 'artificial neural network' in their titles. Twenty major research topics were identified from topic modeling analysis and they were inclusive of classification accuracy, machine learning, optimization problem, time series model, temperature flow, engine variable, neuron layer, spectrum sample, image feature, strength property, extreme machine learning, control system, energy power, cancer patient, descriptor compound, fault diagnosis, soil map, concentration removal, protein gene, and job problem. The analysis of the time-series linear regression showed that all identified topics in machine learning research were 'hot' ones.

• Journal of Auto-vehicle Safety Association
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• v.11 no.1
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• pp.48-54
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• 2019

Optimal engine control is needed to cope with the global environmental regulations that are globally enforced. For optimum engine control, the electronic throttle control system (ETCS) is a prerequisite. Automotive makers are having an effect on reducing emissions and improving fuel economy by applying ETCS which is designed to secure stability. The ETCS controls the output of the throttle valve by passing the output value of the accelerator position sensor (APS) to the engine control unit (ECU). In this study, the authors investigated the safety standards of domestic and overseas accelerator control system and tried to understand how the air flow control affects the engine output by replacing the throttle. The authors suggest an improvement proposal of safety standard based on the result of driving evaluation by various modes.

• Journal of Korea Multimedia Society
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• v.25 no.2
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• pp.247-256
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• 2022

Visual tracking of selected target objects is fundamental challenging problems in computer vision. Object tracking localize the region of target object with bounding box in the video. We propose a Siam-FPN based custom fully CNN to solve visual tracking problems by regressing the target area in an end-to-end manner. A method of preserving the feature information flow using a feature map connection structure was applied. In this way, information is preserved and emphasized across the network. To regress object region and to classify object, the region proposal network was connected with the Siamese network. The performance of the tracking algorithm was evaluated using the OTB-100 dataset. Success Plot and Precision Plot were used as evaluation matrix. As a result of the experiment, 0.621 in Success Plot and 0.838 in Precision Plot were achieved.

• Journal of information and communication convergence engineering
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• v.21 no.3
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• pp.225-232
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• 2023

Owing to advancements in intelligent transportation systems (ITS) and artificial-intelligence technologies, various machine-learning models can be employed to simulate and predict the number of traffic accidents under different weather conditions. Furthermore, we can analyze the relationship between weather and traffic accidents, allowing us to assess whether the current weather conditions are suitable for travel, which can significantly reduce the risk of traffic accidents. In this study, we analyzed 30000 traffic flow data points collected by traffic cameras at nearby intersections in Washington, D.C., USA from October 2012 to May 2017, using Pearson's heat map. We then predicted, analyzed, and compared the performance of the correlation between continuous features by applying several machine-learning algorithms commonly used in ITS, including random forest, decision tree, gradient-boosting regression, and support vector regression. The experimental results indicated that the gradient-boosting regression machine-learning model had the best performance.

• Annual Conference of KIPS
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• 2022.11a
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• pp.354-356
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• 2022

소셜 네트워크 및 웹 데이터와 같은 대규모 그래프 데이터를 처리하기 위해 병렬 처리 기반의 기법들이 많이 사용되어 왔다. 본 연구에서는 그래프 형식의 대규모 교통 데이터를 하둡 맵리듀스를 이용하여 처리하는 효과적인 기법을 제안한다. 제안하는 방식에서는 도시의 유동 인구 흐름을 가중치로 고려할 수 있도록 Weighted PageRank 알고리즘을 기반으로 하는 병렬 그래프 알고리즘을 사용하며, 해당 알고리즘을 하둡 맵리듀스에 적용하여 주거 및 근무지 등의 지역을 분류하도록 결과를 분석하였다. 제안 기법을 통한 분석 결과를 기반으로 지역 간 유동 인구 그래프 데이터에서 각 도시의 영향력을 측정하는 페이지랭크, 하둡 맵리듀스 기반의 기법을 제시한다.

• Journal of the Korean Association of Geographic Information Studies
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• v.6 no.4
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• pp.122-134
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• 2003

In recent, different kinds of nationwide thematic map have been developed based on NGIS, and each related research field has tried to develop GIS by utilizing this map. Also, Many researches on the geographic information data model has been conducted to improve the compatibility of developed system. The developed system in water resource field should reflect the dynamic characteristics of river flow. Because it should be considered from the design of data model, this study suggests the datamodel for designing geographical information database on water resources which is possible to linear reference capacity based on stream network. In order to examine the applicability of the suggested model, network component based system has developed. Finally, the river network based system shows the superiority in terms of its applicability comparing with other system.

• Journal of Broadcast Engineering
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• v.22 no.4
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• pp.429-437
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• 2017

2D-to-3D conversion technology has been studied over past decades and integrated to commercial 3D displays and 3DTVs. Generally, depth cues extracted from a static image is used for generating a depth map followed by DIBR (Depth Image Based Rendering) for producing a stereoscopic image. Further, motion is also an important cue for depth estimation and is estimated by block-based motion estimation, optical flow and so forth. This papers proposes a new method for motion depth generation using Motion History Image (MHI) and evaluates the feasiblity of the MHI utilization. In the experiments, the proposed method was performed on eight video clips with a variety of motion classes. From a qualitative test on motion depth maps as well as the comparison of the processing time, we validated the feasibility of the proposed method.