• ETRI Journal
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• 제38권4호
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• pp.767-775
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• 2016

Automatic container code recognition from a captured image is used for tracking and monitoring containers, but often fails when the code is not captured clearly. In this paper, we increase the accuracy of container code recognition using multiple views. A character-level integration method combines recognized codes from different single views to generate a new code. A decision-level integration selects the most probable results from the codes from single views and the new integrated code. The experiment confirmed that the proposed integration works successfully. The recognition from single views achieved an accuracy of around 70% for the test images collected on a working pier, whereas the proposed integration method showed an accuracy of 96%.

• 전자공학회논문지S
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• 제34S권2호
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• pp.52-62
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• 1997

To reconstruct the complete 3-D shape of an object, seveal range images form different viewpoints should be merged into a single model. The process of extraction of the transformation parameters between multiple range views is calle dregistration. In this paper, we propose a new algorithm to find the transformation parameters between multiple range views. Th eproposed algorithm consists of two step: initial estimation and iteratively update the transformation. To guess the initial transformation, we modify the principal axes by considering the projection effect, due to the difference fo viewpoints. Then, the following process is iterated: in order to extract the exact transformation parameters between the range views: For every point of the common region, find the nearest point among the neighborhood of the current corresponding point whose correspondency is defined by the reverse calibration of the range finder. Then, update the transformation to satisfy the new correspondencies. In order to evaluate the performance the proposed registration algorithm, some experiments are performed on real range data, acquired by space encoding range finder. The experimental results show that the proposed initial estimation accelerate the following iterative registration step.

• 방송공학회논문지
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• 제13권3호
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• pp.328-338
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• 2008

H.264/AVC기반의 다시점 영상 부호화 기술은 시점간 상관성을 이용한 새로운 예측 방법을 이용하여 여러 대의 카메라로부터 촬영된 영상을 효율적으로 부호화하는 기술이다. 그러나 다시점 부호화 기술은 시점의 증가와 시점간 예측의 사용으로 인해 부호화 시간이 크게 증가한다. 본 논문은 부호화 시간을 줄이기 위해 다시점 영상에서 시점간에 대응하는 마크로블록 (Macroblock) 기반 영역 분할 정보와 시점간의 전역 변이 벡터를 이용한 고속 모드 결정 방법을 제안한다. 제안하는 방법은 다시점 영상 부호화 표준의 참조 소프트웨어인 joint multi-view video model (JMVM) 4.0에 비해 약 0.04dB의 화질 열화를 보이지만 전체 부호화 시간을 평균적으로 40% 단축할 수 있었다.

• Asia pacific journal of information systems
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• 제14권3호
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• pp.169-187
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• 2004

Self-maintainability of data warehouse(DW) views is an ability to maintain the DW views without requiring an access to (i) any underlying databases or (ii) any information beyond the DW views and the delta of the databases. With our proposed method, DW views can be updated by using only the old views and the differential files such as different files, referential integrity differential files, linked differential files, and backward-linked differential files that keep the truly relevant tuples in the delta. This method avoids accessing the underlying databases in that the method achieves self-maintainability even in preparing auxiliary information. We showed that out method can be applicable to the DW views that contain joins over relations in a star schema, a snowflake schema, or a galaxy schema.

• 한국과학교육학회지
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• 제24권1호
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• pp.121-128
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• 2004

This study was to investigate high students' conceptions of acids and bases, and their views on learning science. Multiple sources of data were collected over six months with a participation of sit tenth graders and their science teacher. The transcripts of interviews and other data were examined with an eye toward students' conceptions of acids and bases, and their views of learning science. Students' views of science are displayed the representative pattern. Each pattern is represented with an episode. Students' views of learning have been found to reflect the transmissive models of science educational practice. Students accept passive and difficult-to-modify views of the learner roles that they should play in the science classroom. Students identified science classes as conservative places, despite the introduction of science literacy as a goal of Korean science education since 1980. Behaviorism remains the major influence in their expectation, design, and practice in school science. Moreover, 'transmission' remains the persistent and dominant classroom cultural dynamic for both teaching and learning of science.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2006년도 가을 학술발표논문집 Vol.33 No.2 (B)
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• pp.509-514
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• 2006

Human action recognition is an active research area in computer vision. In this paper, we present a robust method for human action recognition by using combined information of human body shape and motion information with multiple views image sequence. The principal component analysis is used to extract the shape feature of human body and multiple block motion of the human body is used to extract the motion features of human. This combined information with multiple view sequences enhances the recognition of human action. We represent each action using a set of hidden Markov model and we model each action by multiple views. This characterizes the human action recognition from arbitrary view information. Several daily actions of elderly persons are modeled and tested by using this approach and they are correctly classified, which indicate the robustness of our method.

• 한국음향학회지
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• 제23권5호
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• pp.390-399
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• 2004

본 논문에서는 음성 웹 언어인 VoiceXML의 작성 효율을 향상하기 위한 다중 뷰 편집기를 설계 및 구현하였다. VoiceXML 다중 뷰 편집기는 다중 뷰를 제공하기 위해 MVC (Model-View-Controller) 프레임워크을 이용하였다. MVC 프레임워크를 이용한 다중 뷰 편집기는 핵심 자료구조인 모델과 인터페이스인 뷰, 모델과 뷰를 제어하기 위한 제어기로 구성된다. MVC 프레임워크에서 모델은 추상 구문 트리와 추상 문법으로 구성되며 뷰는 역파싱 규칙과 역파서로 구성되고 제어기는 명령어 처리기와 트리 조작기로 구성된다. VoiceXML 다중 뷰 편집기는 문서의 구조, 내용, 흐름을 동시에 보여주어 기존 XML 편집기의 단점을 극복할 수 있다. MVC 프레임워크가 적용된 VoiceXML 다중 뷰 편집기는 여러 편집기를 통해 동시에 다양한 편집 뷰 (View)를 제공함으로써 사용자에게 음성 웹 문서 작성의 편의성을 제공하여 효율을 높일 수 있으며 여러 개의 뷰가 하나의 모델을 가짐으로써 편집기들의 무결성을 보장하도록 하였다.

• 한국경영과학회지
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• 제21권1호
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• pp.31-50
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• 1996

In this paper we prescribe a replication server scheme with an algorithm DRF (Differential Refresh File) to refresh multiple materialized views and replicas in distributed environments. Before sending relevant tuples in server sites to client sites, an effective tuple reduction scheme is developed as a preprocessor to reduce the transmission cost. Because it utilizes differential files with out touching base relations, the DRF scheme can help to minimize the number of locks, which enhances the system's performance.

• 제어로봇시스템학회논문지
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• 제14권8호
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• pp.848-855
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• 2008

In this paper, we describe correspondence among multiple images taken by multiple cameras. The correspondence among multiple views is an interesting problem which often appears in the application like visual surveillance or gesture recognition system. We use the principal axis and the ground plane homography to estimate foot of human. The principal axis belongs to the subtracted silhouette-based region of human using subtraction of the predetermined multiple background models with current image which includes moving person. For the calculation of the ground plane homography, we use landmarks on the ground plane in 3D space. Thus the ground plane homography means the relation of two common points in different views. In the normal human being, the foot of human has an exactly same position in the 3D space and we represent it to the intersection in this paper. The intersection occurs when the principal axis in an image crosses to the transformed ground plane from other image. However the positions of the intersection are different depend on camera views. Therefore we construct the correspondence that means the relationship between the intersection in current image and the transformed intersection from other image by homography. Those correspondences should confirm within a short distance measuring in the top viewed plane. Thus, we track a person by these corresponding points on the ground plane. Experimental result shows the accuracy of the proposed algorithm has almost 90% of detecting person for tracking based on correspondence of intersections.

• 한국과학교육학회지
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• 제24권6호
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• pp.1143-1157
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• 2004

이 연구의 목적은 STS에 대해서 우리 나라 고등학생들이 가지는 견해를 알아보기 위한 평가 도구인 HS-VOSTS(Korean Students' Views on STS)를 개발하는 것이다. HS-VOSTS 문항을 개발하기 위해서 다음과 같은 연구과정을 수행하였다. 우선, 문헌과 선행 연구 고찰을 통해 4가지 범주의 10가지 하위 범주와 관련하여 23개의 논제를 포함하는 STS 범주 체계를 설정하였다. STS 범주 체계는 정의 과학의 외적 사회학 과학의 내적 사회학 인식론의 네 가지의 커다란 범주로 구성되어 있다. 다음은 STS 범주 체계를 기초로 4단계에 걸쳐 문항을 개발하였다. 1단계에서는 각 논제에 대한 짝진술문을 기초로 학생진술 문항지를 작성하여 772명의 고등학생들(16.3세)에게 투입하였다. 2단계에서는 짝진술문 중 하나를 제거하여 문항의 진술문으로하고, 분류된 공통견해를 답지로 하여 1차 다지선다형 문항지를 구성하였다. 3단계에서는 고등학생 28명(16.5세)을 대상으로 반구조화 면담을 실시하여 그 결과 분석을 통해 2차 다지선다형 문항지를 구성하였다. 4단계에서는 2차 다지선다형 문항지를 고등학생 306명에게 적용하여 낮은 반응비율을 보인 답지들을 제거하여 최종 검사도구를 완성하였다. HS-VOSTS는 학생들의 STS에 대한 신념 및 견해를 알아볼 수 있는 유용한 도구로서, 그 결과는 교사뿐만 아니라 교육과정 개발자, 교과서 저자, 교육정책 입안자들에게 많은 시사점을 줄 수 있을 것이라 생각한다.