• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2003년도 춘계학술대회 논문집
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• pp.306-311
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• 2003

This paper presents a novel localization paradigm for mobile robots based on artificial and natural landmarks. A model-based object recognition method detects natural landmarks and conducts the global and topological localization. In addition, a metric localization method using artificial landmarks is fused to complement the deficiency of topology map and guide to action behavior. The recognition algorithm uses a modified local Zernike moments and a probabilistic voting method for the robust detection of objects in cluttered indoor environments. An artificial landmark is designed to have a three-dimensional multi-colored structure and the projection distortion of the structure encodes the distance and viewing direction of the robot. We demonstrate the feasibility of the proposed system through real world experiments using a mobile robot, KASIRI-III.

• 한국태양에너지학회 논문집
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• 제34권4호
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• pp.83-90
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• 2014

South Korea's solar energy industry has been made vertical integration and specialization as part of the restructuring in the downturn of the world economy and the oversupply situation of raw materials. This study is to understand the characteristics of the solar energy industry, using data to systematic approach. In this study, it was defined the major business of firms as 22 business types and classified into 5 enterprise groups as technology and business strategy. After that, It was deduced features of Enterprise group by the statistical analysis and looked to draw a map of the industrial structure by social network analysis using the information on companies' demand and supply.

• 한국컴퓨터정보학회논문지
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• 제22권8호
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• pp.15-23
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• 2017

In this paper, the block reweighting and global offset initialization methods are proposed to complement the improved IRLMS algorithm which is the effective algorithm in registration based SBNUC algorithm. Proposed block weighting method reweights the error map whose abnormal data are excluded. The global offset initialization method compensates the global nonuniformity initially. The ordinary registration based SBNUC algorithm is hard to compensate global nonuniformity because of low scene motion. We employ the proposed methods to improved IRLMS algorithm, and apply it to real-world infrared raw image stream. The result shows that new implementation provides 3.5~4.0dB higher PSNR and convergence speed 1.5 faster then the improved IRLMS algorithm.

• 대한전자공학회논문지TE
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• 제42권4호
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• pp.33-40
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• 2005

본 논문에서는 이동 로봇 주위의 환경 인식과 자기 위치 인식을 위하여 초음파 센서와 한 개의 카메라를 이용하여 안정적인 이동 경로를 확보할 수 있는 방식을 제시하였다. 개발된 초음파 센서(SRF04)시스템은 주행환경의 지도 작성을 위하여 목표물의 특징 데이터를 작성하고, SDC313(SAMSUNG) 카메라에서 수집된 영상자료와 결합하도록 하여 안정적인 경로탐색이 가능한 이동로봇 제어방식을 실험을 통하여 구현하였다.

• Ocean and Polar Research
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• 제23권2호
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• pp.121-130
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• 2001

Geodetic datums define the size and shape of the earth and the origin and orientation of the coordinate systems used to map the earth. A lot of different datums have been developed and each nation uses its own datum as the basis for coordinate systems used to identify positions in geographic information systems. Recently GPS receivers are widely used to find out location and GPS is based on the World Geodetic System 1984(WGS-84) datum. Therefore the diversity of datums in use today requires accurate conversion between coordinates in different datums. In this study a coordinate conversion program on Windows is developed to transform between Tokyo Bessel(1941), which is the reference datum in Korea, and WGS-84. Several examples of coordinate conversion are presented and computed results are tested and proved to be correct.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제10권3호
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• pp.210-217
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• 2010

This paper presents integrated path planning and collision avoidance for an omni-directional mobile robot. In this scheme, the autonomous mobile robot finds the shortest path by the descendent gradient of a navigation function to reach a goal. In doing so, the robot based on the proposed approach attempts to overcome some of the typical problems that may pose to the conventional robot navigation. In particular, this paper presents a set of analysis for an omni-directional mobile robot to avoid trapped situations for two representative scenarios: 1) Ushaped deep narrow obstacle and 2) narrow passage problem between two obstacles. The proposed navigation scheme eliminates the nonfeasible area for the two cases by the help of the descendent gradient of the navigation function and the characteristics of an omni-directional mobile robot. The simulation results show that the proposed navigation scheme can effectively construct a path-planning system in the capability of reaching a goal and avoiding obstacles despite possible trapped situations under uncertain world knowledge.

• Asia pacific journal of information systems
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• 제13권3호
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• pp.63-84
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• 2003

Business process redesign(BPR) has been widely adopted as an organizational change method since 1990s as the competitive pressures have forced organizations to constantly change. Although BPR has provided successful stories to gain dramatic improvement in performance and has been promoted as an enabler of organizational change, many organizations have faced serious challenges with widely mixed results due to the lack of understanding for potential organizational conflicts and the improper targeting of critical processes in the initial stage of BPR. This paper proposes a cognitive map based method to help organizational members identify potential organizational conflicts, capture core business activities, and suggests guidelines to lead to the necessary organizational change. A computerized tool has been developed to support the real world cases. Working procedure of the proposed method is illustrated with its application to the real BPR project of a dairy company.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2004년도 추계학술대회
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• pp.331-339
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• 2004

The preferences of customers change over time. However, existing collaborative filtering (CF) systems are static, since they only incorporate information regarding whether a customer buys a product during a certain period and do not make use of the purchase sequences of customers. Therefore, the quality of the recommendations of the typical CF could be improved through the use of information on such sequences. In this paper, we propose a new methodology for enhancing the quality of CF recommendation that uses customer purchase sequences. The proposed methodology is applied to a large department store in Korea and compared to existing CF techniques. Various experiments using real-world data demonstrate that the proposed methodology provides higher quality recommendations than do typical CF techniques, with better performance, especially with regard to heavy users.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2001년도 추계종합학술대회
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• pp.407-410
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• 2001

최근 무선 정보통신의 발달로 인터넷 중심이 기존의 유선에서 무선으로 급격히 이동함에 따라 다양한 무선인터넷을 지원하는 단말기의 보급과 더불어 빠른 성장세를 보이고 있다. 이에, 본 고에서는 현재 상업용의 모바일 플랫폼 기술들인 KVM, MAP, GVM, BREW 등의 기술 동향 및 관련 표준화 현황 등을 고찰한다 또한, 국내 무선 인터넷 환경에 적합한 서비스 플랫폼 표준 요구사항을 제시하고 있다. 본 논문의 결과는 향후 활성화될 M-Commerce의 응용서비스 제공을 위한 플랫폼 구현 기반이 될 것으로 기대된다.

• 산업공학
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• 제23권4호
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• pp.275-285
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• 2010

In complex industrial world, many companies make every effort to analyze their competition capability through various performance evaluation tools to cope with rapidly changing business environment. Among evaluation tools the balanced scorecard (BSC), put forward by Kaplan and Norton in 1992, is a strategic performance management tool for measuring whether the smaller-scale operational activities of a company are aligned with its larger-scale objectives in terms of vision and strategy. The BSC tool offers a comparative advantage over others to evaluate the objective achievement of a company by linking its strategic objectives with operational KPI. In this paper, we introduce a case that the BSC performance evaluation system was implemented based on product data management and applied it to the business process. Specially, we shows a implementation procedure to derive discipline-specific topics and key performance metrics.