• 제목/요약/키워드: Individual Representation

검색결과 197건 처리시간 0.022초

학령후기 아동의 내현적 자기애가 전위 공격성에 미치는 영향: 내면화된 수치심과 거부민감성의 매개효과 (The Influences of Covert Narcissism on Displaced Aggression in Late Childhood: The Mediating Effects of Internalized Shame and Rejection Sensitivity)

  • 임혜은;한세영
    • 아동학회지
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    • 제37권4호
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    • pp.129-143
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    • 2016
  • Objective: This study aimed to examine the mediating effects of internalized shame and rejection sensitivity in the relationship between covert narcissism and displaced aggression in late childhood. Methods: The participants included 1,060 children (grades 5 and 6; 547 boys and 513 girls) from four elementary schools located in Seoul, Gyeonggi-do, and Chungcheong-do. Results: The primary results of this study were as follows. First, child covert narcissism had a direct effect on displaced aggression; children who perceived higher levels of covert narcissism exhibited more displaced aggression. Second, child covert narcissism had an indirect effect on their displaced aggression through internalized shame and rejection sensitivity. Children who perceived higher levels of covert narcissism reported more internalized shame and rejection sensitivity, which led to more displaced aggression. Conclusion: The findings of this research indicate that individual and interpersonal psychological factors need to be considered to explain displaced child aggression. Further, it is important that we help children to gain positive relationships with family and peers. It will help them break away their negative self or others representation, especially their internalized shame and rejection sensitivity.

공과대학 신입생의 사고양식을 고려한 글쓰기 능력 탐색 (Exploration on Writing Ability Considering Thinking Styles in Engineering Freshmen)

  • 황순희
    • 공학교육연구
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    • 제21권1호
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    • pp.56-65
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    • 2018
  • This research aims to explore the relationships between academic writing ability and 'thinking styles' (capable of representing individual differences and diversity) in engineering freshmen in Korea, and to draw educational implications for the development of instructional strategies. (Academic) Writing is not just about conveying an idea or content, it is also about the representation of writer's self. In this perspective, there has been some research conducted on writing (process) and personality. However, to date, little attention has been paid to writing ability of engineering students and its relationships with thinking styles. This study was conducted with 127 engineering freshmen as well as 67 non-engineering freshmen at H University, and students' writing ability as well as their thinking styles have been measured before and after writing class for 15 weeks. Our findings show that firstly, there was a significant difference of writing ability by majors. Second, there were significant differences in freshmen's thinking styles by majors. Third, there was significant differences of writing ability according to thinking styles. Freshmen's internal, legislative and hierarchical styles scored significantly higher in writing ability than the others. And as for the engineering freshmen, internal, external and global styles scored significantly higher in writing ability than the others. Finally, there was a weak but significant relationship between writing ability and thinking styles(hierarchical & internal). These findings are expected to provide an explanation for the development of instructional strategies of writing (related) courses in engineering school.

영향도에 기초한 의사결정유형분석 구현을 위한 신경망 응용 (Applied Neural Net to Implementation of Influence Diagram Model Based Decision Class Analysis)

  • 박경삼;김재경;윤형재
    • Asia pacific journal of information systems
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    • 제7권1호
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    • pp.99-111
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    • 1997
  • This paper presents an application of an artificial neural net to the implementation of decision class analysis (DCA), together with the generation of a decision model influence diagram. The diagram is well-known as a good tool for knowledge representation of complex decision problems. Generating influence diagram model is known to in practice require much time and effort, and the resulting model can be generally applicable to only a specific decision problem. In order to reduce the burden of modeling decision problems, the concept of DCA is introduced. DCA treats a set of decision problems having some degree of similarityz as a single unit. We propose a method utilizing a feedforward neural net with supervised learning rule to develop DCA based on influence diagram, which method consists of two phases: Phase l is to search for relevant chance and value nodes of an individual influence diagram from given decision and specific situations and Phase II elicits arcs among the nodes in the diagram. We also examine the results of neural net simulation with an example of a class of decision problems.

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효율성과 정확도 향상을 위한 MR 영상에서의 뇌 외곽선 추출 기법 개발 (Development of an Extraction Method of Cortical Surfaces from MR Images for Improvement in Efficiency and Accuracy)

  • 안광옥;정현교
    • 대한의용생체공학회:의공학회지
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    • 제28권4호
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    • pp.549-555
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    • 2007
  • In order to study cortical properties in human, it is necessary to obtain an accurate and explicit representation of the cortical surface in individual subjects. Among many approaches, surface-based method that reconstructs a 3-D model from contour lines on cross-section images is widely used. In general, however, medical brain imaging has some problems such as the complexity of the images, non-linear gain artifacts and so on. Due these limitations, therefore, extracting anatomical structures from imaging data is very a complicated and time-consuming task. In this paper, we present an improved method for extracting contour lines of cortical surface from magnetic resonance images that simplifies procedures of a conventional method. The conventional method obtains contour lines through thinning and chain code process. On the other hand, the proposed method can extract contour lines from comparison between boundary data and labeling image without supplementary processes. The usefulness of the proposed method has been verified using brain image.

비트맵과 벡터방식을 혼합한 새로운 이미지 편집기 (New Image Editor based on Combination of Bitmap and Vector Method)

  • 김진호;이규남;나인호
    • 한국정보통신학회논문지
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    • 제6권2호
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    • pp.288-293
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    • 2002
  • 이미지 데이터는 표현 방식에 따라서 비트맵과 벡터 방식으로 나누어진다. 비트맵 방식은 이미지 데이터를 픽셀이라는 2차원 맵으로 구성한 것이며, 벡터방식은 주어진 2차원 또는 3차원 공간에 선이나 형상을 그리기 위해 일련의 명령어나 수학적 표현으로 나타낸 것이다. 따라서 서로 다른 방식의 이미지를 제작 및 편집하고 자 하는 경우에는 각기 다근 응용프로그램을 사용해야 하는 문제점이 있다. 본 논문에서는 비트맵과 벡터 방식을 혼합하여 하나의 응용프로그램에서 이미지의 제작 및 편집이 가능한 이미지 편집 도구의 설계 및 구현 방법에 대하여 기술하였다.

고등학교 1학년 영어교과서의 과업활동 자료 분석 (An analysis of task-based materials in first-grade high school English textbooks)

  • 전인재
    • 영어어문교육
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    • 제12권4호
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    • pp.253-276
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    • 2006
  • The purpose of this study is to compare and analyze the aspects of task-based materials in high school English textbooks for first year students in Korea. Based on the theoretical backgrounds for designing communicative tasks and the basic contents of the 7th national curriculum for English, a total of six different qualitative evaluation categories of task-based materials are constructed. The six categories include input data, settings, activity types, language skills, activity themes, and communicative functions. The results of the data analysis showed that the regulations of the 7th national English curriculum, which were aimed at improving the students' communicative abilities, were properly reflected in the materials of task-based activities of all textbooks. On the other hand, a few problems were found in some textbooks: too many individual tasks; being out of proportion in presenting task types and themes; non-systematic introduction of language skills, etc. To conclude, a few suggestions are made to provide some meaningful considerations for the text material developers in order to produce better textbooks in the future: task goals and rationale that encourage the learner's positive motivation; authenticity of input data based on the real-world context; a collaborative learning environment that enhances communicative interaction; a proportional representation of the various activity types including creative problem-solving procedures; systematic introduction of integrated language skills, etc.

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문양 이미지에 관한 연구[ 1 ] -문양 이미지 포지셔닝 기준 개발을 중심으로- (A Study on Image of Patterns [ 1 ] - With a focus on Development on Image Positioning of Patterns -)

  • 유현정;김민자
    • 복식
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    • 제59권2호
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    • pp.29-41
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    • 2009
  • Perception between real object and recognized subject of human on objective subject is not the same. The reason Is that individual perception of visual design components are transmitted as the image of whole. It is required process of visual perception. Therefore, I developed the vision of seeing image of pattern which is based on Gestalt visual perception theory in clothes. The summary of this study's results is like followings. Extremely antagonistic terms which are specialized by formative characteristics of formative components are clearness and blur of outline/ fixed shape and non-fixed shape/ visuality and tangibility of representation/ simplicity and complexity of structure/ invariability and variability of mobility/ symmetry and asymmetry of arrangements singularity and plurality of group number. The expression of motive shows that clearness, fixed shape, visuality and simplicity pursuit Determination image, and blur, non-fixed shape, tangibility and complexity pursuit Ambiguity image. The arrangements of motive shows that invariability, symmetry and singularity pursuit Order image, and variability asymmetry and plurality pursuit Disorder image. Therefore, the standard of the coordinator of Pattern image positioning is established as Determination and Ambiguity of motive are X-axis, and Order and Disorder of pattern are Y-axis. As the frame of Pattern image positioning, four separated dimensions have made.

이미지 검색을 위한 영역별 기술어에 관한 연구 - 한국의 대통령 사진기록물을 중심으로 - (Discipline-based Descriptors for Image Retrieval: Representing Presidential Images of Korea)

  • 김양우
    • 한국문헌정보학회지
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    • 제42권1호
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    • pp.253-272
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    • 2008
  • 많은 관련연구들이 개별이용자들의 주제적, 비주제적 정보요구가 반영된 이용자지향 색인의 중요성을 강조하였지만, 실제 상용되고 있는 많은 검색시스템은 이러한 이용자들의 다양한 요구를 지원하기보다는 주제적 속성과 관련된 탐색만을 효과적으로 지원하고 있다. 대통령이미지 검색 컬렉션도 이에 해당된다. 이에 본 연구는 한국의 주요 대통령 사진 기록물을 대상으로 다양한 영역의 잠재적 이용자들이 제시한 기술어들을 조사하여 색인어 다양화를 위한 접근점의 다원화를 모색하고 있다. 이는 대통령기록물의 경우 다양한 이용자 그룹에 의한 활용이 강조되어온바, 이러한 다양성에 부합하는 연구라는 점에 의의가 있다고 할 수 있다. 식별된 기술어들을 토대로 본 연구는 주제어중심으로 구성된 대통령이미지 컬렉션의 기술어군에 대한 개선점을 제안하였다. 제안점은 전공영역을 감안한 기술어채택의 다양화와 이를 활용하기 위한 인터페이스구성과 관련된다.

Defection Detection Analysis Based on Time-Dependent Data

  • Song, Hee-Seok;Kim, Jae-Kyeong;Chae, Kyung-Hee
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2002년도 추계정기학술대회
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    • pp.445-453
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    • 2002
  • Past and current customer behavior is the best predicator of future customer behavior. This paper introduces a procedure on personalized defection detection and prevention for an online game site. The basic idea for our defection detection and prevention is adopted from the observation that potential defectors have a tendency to take a couple of months or weeks to gradually change their behavior (i.e. trim-out their usage volume) before their eventual withdrawal. For this purpose, we suggest a SOM (Self-Organizing Map) based procedure to determine the possible states of customer behavior from past behavior data. Based on this representation of the state of behavior, potential defectors are detected by comparing their monitored trajectories of behavior states with frequent and confident trajectories of past defectors. The key feature of this study includes a defection prevention procedure which recommends the desirable behavior state for the ext period so as to lower the likelihood of defection. The defection prevention procedure can be used to design a marketing campaign on an individual basis because it provides desirable behavior patterns for the next period. The experiments demonstrate that our approach is effective for defection prevention and efficient for defection detection because it predicts potential defectors without deterioration of prediction accuracy compared to that of the MLP (Multi-Layer Perceptron) neural network.

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유전알고리듬에 기반을 둔 혼합제품 유연조립라인 밸런싱 (Mixed-product flexible assembly line balancing based on a genetic algorithm)

  • 송원섭;김형수;김여근
    • 한국경영과학회지
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    • 제30권1호
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    • pp.43-54
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    • 2005
  • A flexible assembly line (FAL) is a production system that assembles various parts in unidirectional flow line with many constraints and manufacturing flexibilities. In this research we deal with a FAL balancing problem with the objective of minimizing the maximum workload allocated to the stations. However, almost all the existing researches do not appropriately consider various constraints due to the problem complexity. Therefore, this study addresses a balancing problem of FAL with many constraints and manufacturing flexibilities, unlike the previous researches. We use a genetic algorithm (GA) to solve this problem. To apply GA to FAL. we suggest a genetic representation suitable for FAL balancing and devise evaluation method for individual's fitness and genetic operators specific to the problem, including efficient repair method for preserving solution feasibility. After we obtain a solution using the proposed GA. we use a heuristic method for reassigning some tasks of each product to one or more stations. This method can improve workload smoothness and raise work efficiency of each station. The proposed algorithm is compared and analyzed in terms of solution quality through computational experiments.