• 제목/요약/키워드: view selection

검색결과 528건 처리시간 0.028초

기초 형식 및 공법 선정을 위한 전문가 시스템 개발 (Developing An Expert System for The Selection of Foundation Types and Methods)

  • 정영식;이종석;김태헌;홍운철
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 1998년도 가을 학술발표회 논문집
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    • pp.381-388
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    • 1998
  • This paper describes the development of an expert system designed to help engineers select proper foundation types and construction methods for structures under various subsoil conditions. The system includes geographical and geological data in certain areas of Ulsan and a knowledge base for the selection of foundation types. Geological data, such as boring logs, in the areas were collected and arranged to form the subsoil database in the areas concerned Test borings at 30 holes were carried out for reference and confirmation purposes. The use of this system is twofold. It provides the users with a quick view on the geological situations of the areas concerned, and suggests proper foundation types for the specific spot together with some explanations on the selected foundation types and methods.

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순차적으로 선택된 특성과 유전 프로그래밍을 이용한 결정나무 (A Decision Tree Induction using Genetic Programming with Sequentially Selected Features)

  • 김효중;박종선
    • 경영과학
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    • 제23권1호
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    • pp.63-74
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    • 2006
  • Decision tree induction algorithm is one of the most widely used methods in classification problems. However, they could be trapped into a local minimum and have no reasonable means to escape from it if tree algorithm uses top-down search algorithm. Further, if irrelevant or redundant features are included in the data set, tree algorithms produces trees that are less accurate than those from the data set with only relevant features. We propose a hybrid algorithm to generate decision tree that uses genetic programming with sequentially selected features. Correlation-based Feature Selection (CFS) method is adopted to find relevant features which are fed to genetic programming sequentially to find optimal trees at each iteration. The new proposed algorithm produce simpler and more understandable decision trees as compared with other decision trees and it is also effective in producing similar or better trees with relatively smaller set of features in the view of cross-validation accuracy.

표준 의학용어 체계에서의 효과적인 용어 검색 방안 (Effective Searching of Clinical Terms from Standard Clinical Terminology)

  • 류우석
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2014년도 춘계학술대회
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    • pp.323-325
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    • 2014
  • SNOMED CT는 임상 과정에서의 진료 기록을 전산화하고 이를 효율적으로 관리 및 활용하기 위한 종합적 표준 임상 의학용어 체계이다. 그러나 이는 표현 가능한 용어의 종류가 지나치게 많음에 따라 환자 상태를 표현하는 가장 적합한 용어를 짧은 진료 시간 내에 선택하여 기록하기가 어렵고, 또한 한가지 임상적 의미가 다양한 용어 및 그 조합으로 표현될 수 있음에 따라 의무기록의 작성시 그 의미가 왜곡되거나 잘못 해석될 여지가 발생한다. 본 연구에서는 이러한 문제점들을 분석하고 이를 해결하기 위한 중복 용어 선택 기법을 제시한다.

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日本家計のリスク選択行動に関する研究 - 所得水準と双曲性の関係を中心に - (A Study on Risk Selection Behavior of Japanese Households: Focusing on the relationship between income level and hyperbolic discount)

  • Yeom, Dong-ho
    • 분석과 대안
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    • 제4권1호
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    • pp.105-123
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    • 2020
  • This study analyzes the risk selection behavior of Japanese households. The study approaches the view of 'the hyperbolic discount' which is used in behavioral economics based on the rise in mortgage lending by low-income households in the late 2000s. The study focuses on how households risk preferences vary by income levels. The study analyzes the relationship of attitude of household interest rate risk using Binomial Logistic and Heckman two-step estimation method assuming that there are only two types of Adjustable-Rate Mortgage and Fixed-Rate Mortgage. As a result of the empirical analysis, low-income households annual income tend to have a higher proportion of housing debt as same as higher interest rate risk preferences households in proportion to income growth and interest rate risk preferences. Those results indicate that there is possibility of a hyperbolic discount on low-income households in Japan, and support the hypothesis that low-income households are relatively higher household debt ratio because of high utility due to home purchase in the near future (short-term).

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혈관손상에 관한 임상적 고찰 (Surgical Treatment of Vascular Injuries)

  • 홍종완
    • Journal of Chest Surgery
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    • 제21권6호
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    • pp.984-989
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    • 1988
  • 2-D echocardiographic examination of the aortic root diameter was known to be useful in the selection of the size of the prosthetic valve. Valve-patient mismatch was occasionally a serious problem after valve replacement, especially in aortic valve disease. Preoperative knowledge of the patient`s valve annulus size is therefore of great importance in the surgical management of these patients. So the relationship between preoperative 2-D echocardiographic diameter of the annulus size and replaced prosthetic valve were evaluated. 13 patients were analyzed in this study. 2-D echocardiographic measurements of aortic annulus diameter, as determined from the parasternal long axis view and apical four chamber view, demonstrated a high correlation with actual prosthetic valve size implanted at surgery[r=0.86, p< 0.001, SEE=1.08].

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A GIS, GPS, Database, Internet GIS $software{\copyright}$ The First Arabian GIS $Software\copyright}$

  • El-Shayal, Mohamed El-Sayed
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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    • pp.695-697
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    • 2006
  • Elshayal $Smart{\copyright}$ software is an almost First Arabian GIS $software{\copyright}$ which completely developed by Arabian developers team and independent of any commercial software package. The software current Features are View and Edit shape files, build new layers, add existing layers, remove layers, swap layers, save layers, set layer data sources, layer properties, zoom in & zoom out, pan, identify, selecting features, invert selection, show data table, data query builder, location query builder, build network, find shortest path, print map, save map image, copy map image to clipboard, save project map, edit move vertex, edit move features, snap vertexes, set vertex XY, move settings, converting coordinate system, applying VB script, copy selected features to another layer, move selected features to another layer, delete selected features, edit data table, modify table structure, edit map features, drawing new features, GPS tracking, 3D view, etc... The software expected Features are: Viewing raster image and image geo-referencing, read other map formats such as DXF Format and Tiger Line Format.

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제화의 최적설계에 관한 연구 -조립식 중창의 접착강도 및 흡수율을 중심으로- (A STUDY ON THE MOST SUITABLE DESIGNING OF SHOEMAKING -Centering around the adhesive tensile and absorption percentage of assembly insole-)

  • 이종철
    • 산업경영시스템학회지
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    • 제12권20호
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    • pp.33-38
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    • 1989
  • In order to achieve the most suitable designing of shoemaking, the structure of shoemaking is described in this study by inquiring into structural and functional effects given by shoes to human feet. Also, the role of insole that is an essential portion in view of function in shoemaking is described and. for the improvement of quality the fact that selection of material of insole has an effect to quality is substantiated through experiments of adhesive tensile and absorption percentage. Though identification of the qualify of insole with the naked eyes is impossible because it is inserted between the internal layers of a shoe. It is not only an essential portion for the improvement of the quality of shoemaking but it gives an essential effect to the sanitation and health of human body(feet) when insole of lower qualify is used. In view of these the improvement and enhancement of the quality of home-made material of insole are earnestly required.

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팀 의사결정에 대한 이원적 단계 모델 (A Dual-Level Model of Team Decision Making)

  • 강민철
    • Asia pacific journal of information systems
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    • 제14권2호
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    • pp.37-59
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    • 2004
  • Team decision making is a collective behavior that needs to be understood by considering properties belonging to team and individual member domains together. This paper introduces a conceptual model called "Dual-Level(DL)" model that describes a team decision-making process in terms of team level, member level, and the relationship between them. The team-level view explains the decision-making process by considering the team as a wholeand divides the process into three stages: Problem Conceptualization, Alternative Generation, and Selection. The member-level view describes what happens to individual members when they go through the group process and splits it into the five phases: Individual Cognitive Mapping, Problem Decomposition, Subproblem Session, Subproblem Integration, and Team Decision. The DL model works as a theoretical framework to explore team decision making by using a set of computational models of team design and team members. In practice, the conceptual framework is used to build a computational model of decision making team, called "Team-Soar."

Interactive lens through smartphones for supporting level-of-detailed views in a public display

  • Kim, Minseok;Lee, Jae Yeol
    • Journal of Computational Design and Engineering
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    • 제2권2호
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    • pp.73-78
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    • 2015
  • In this paper, we propose a new approach to providing interactive and collaborative lens among multi-users for supporting level-of-detailed views using smartphones in a public display. In order to provide smartphone-based lens capability, the locations of smartphones are effectively detected and tracked using Kinect, which provides RGB data and depth data (RGB-D). In particular, human skeleton information is extracted from the Kinect 3D depth data to calculate the smartphone location more efficiently and correctly with respect to the public display and to support head tracking for easy target selection and adaptive view generation. The suggested interactive and collaborative lens using smartphones not only can explore local spaces of the shared display but also can provide various kinds of activities such as LOD viewing and collaborative interaction. Implementation results are given to show the advantage and effectiveness of the proposed approach.

Evaluating the Comfort Experience of a Head-Mounted Display with the Delphi Methodology

  • Lee, Doyeon;Chang, Byeng-hee;Park, Jiseob
    • 인터넷정보학회논문지
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    • 제21권6호
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    • pp.81-94
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    • 2020
  • This study developed evaluation indicators for the comfort experience of virtual reality (VR) headsets by classifying, defining, and weighting cybersickness-causing factors using the Delphi research method and analytic hierarchical process (AHP) approach. Four surveys were conducted with 20 experts on VR motion sickness. The expert surveys involved the 1) classification and definition of cybersickness-causing dimensions, classification of sub-factors for each dimension, and selection of evaluation indicators, 2) self-reassessment of the results of each step, 3) validity revaluation, and 4) final weighting calculation. Based on the surveys, the evaluation indicators for the comfort experience of VR headsets were classified into eight sub-factors: field of view (FoV)-device FoV, latency-device latency, framerate-device framerate, V-sync-device V-sync, rig-camera angle view, rig-no-parallax point, resolution-device resolution, and resolution-pixels per inch (PPI). A total of six dimensions and eight sub-factors were identified; sub-factor-based evaluation indicators were also developed.