• 제목/요약/키워드: sorting problem

검색결과 123건 처리시간 0.026초

설계시공일괄입찰공사의 설계변경 클레임요인 분석에 관한 기초 연구 (Preliminary Study on the Factors Analysis of Change Order-Claim in Design-Build Project)

  • 류혁준;박병주;유승규;김주형;김재준
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2012년도 춘계 학술논문 발표대회
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    • pp.129-130
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    • 2012
  • Although the order of Design-Build is being expanded by increasing construction scale and demanding hybrid function, the suitable regulation of the contracts is not settled. Design-Build is way by government because there are big construction of much government leading in contract relation high position occupy. So, case that prebendary's claim institution develops by litigation is very rare. But, recently Design-Build is magnified. So, these dispute factors is becoming visualization gradually. The contract system is needed to be consistent by international standard to deal with the problem. This study suggests the useful solutions in detail concerned with the main factor of change order claim by each Design-Build phases through practical sorting and analysis of the causes of Change Order-Claim.

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우편물 자동구분기의 구분율 향상을 위한 문자인식기의 구현 방법 (An Implementation Method of the Character Recognizer for the Sorting Rate Improvement of an Automatic Postal Envelope Sorting Machine)

  • 임길택;정선화;장승익;김호연
    • 한국산업정보학회논문지
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    • 제12권4호
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    • pp.15-24
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    • 2007
  • 우편물의 자동구분을 위해서는 주소영상의 인식이 필수적이다. 주소영상의 인식 과정은 주소영상 전처리, 문자인식, 주소해석의 과정으로 이루어져 있다. 주소영상 전처리 과정을 통해 추출된 문자영상들은 인식과정으로 전달되고 이 과정에서 각 문자영상마다 다수의 후보문자와 인식 스코어가 생성된다. 주소해석기는 후보문자와 인식 스코어의 집합을 이용하여 유효한 최종 주소를 생성한다. 우편물의 자동구분 율은 주소영상의 인식과정에 포함된 모든 과정의 성능에 따라 좌우되는데 특히 문자인식 성능이 중요한 요인이다. 주소인식에서 좋은 문자인식기란 주소해석이 용이할 수 있도록 신뢰도 높은 후보문자를 생성하는 것이라 할 수 있다. 본 논문에서는 문자인식기에서 신뢰도 높은 후보문자를 생성하는 방법을 제안한다. 논문에서는 현행 우편물 자동구분기의 주소인식 시스템에서 사용되고 있는 MLP 인식기를 개별 문자인식을 위한 인식기로 사용한다. MLP 인식기는 인식 속도와 인식률 측면에서 가장 우수한 인식기의 하나로 알려져 있지만, false alarm과 같은 잘못된 결과를 생성하기도 하는데 이는 주소해석을 어렵게 만드는 주요 요인이 된다. 본 논문에서는 주소해석을 쉽게 하고 우편물 구분율을 높이기 위해 기 구현된 MLP 인식기의 출력값을 재추정하는 방법을 제안한다. 재추정값의 신뢰도를 높이기 위한 인식기의 통계적 동작특성을 생성하는 방법과, 기존 MLP와 신뢰도 재추정기로서 동작하는 Subspace 인식기를 결합하는 방법을 제안한다. 제안 방법의 타당성을 확인하기 위해 우체국에 설치된 우편물구분기로부터 획득한 문자영상을 이용하여 실험하였다. 실험 결과 제안 방법이 개별 문자 및 비문자에 대한 오류율과 기각률 측면에서 높은 신뢰도를 보임을 확인할 수 있었다.

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정보지원 업무관련 주요자격증 우선순위 도출에 관한 연구 (A Study on Drawing Priority of Main Certificates related to information support)

  • 황종호
    • 디지털융복합연구
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    • 제13권7호
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    • pp.163-168
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    • 2015
  • 본 연구는 시대적 상황의 문제 해소 방안을 모색함에 있다. 특히 최근에 청년실업률 문제는 많은 사회적인 문제를 야기하고 있다. 이러한 문제와 관련성 높은 취업과 관련해서 신입사원의 실무교육비용은 부담으로 작용한다. 따라서 본 연구에서는 이러한 문제 해소를 위한 구체적인 방안을 모색하고자 한다. 연구내용에 있어서는 우선 업무접근성이 높은 주요 자격증 도출에 필요한 자료 수집을 위해 자격증을 관장하고 있는 대표기관의 국가직무능력표준(이하 NCS)에 기초한 자료를 분석하고자 한다. 이를 토대로 연구모형 제시와 AHP분석기법을 적용해서 업무접근성이 높은 주요 자격증을 도출하고자 한다. 이는 실무교육비용 절감과 취업에 필요한 자격증을 선별하는데 중요한 판단기준이 되리라 사료됨. 따라서 본 연구의 목적은 업무접근성이 높은 자격증 선별을 위한 기본적인 틀과 자격증 취득에 따른 판단근거를 제공함에 있다.

Defect Diagnosis and Classification of Machine Parts Based on Deep Learning

  • Kim, Hyun-Tae;Lee, Sang-Hyeop;Wesonga, Sheilla;Park, Jang-Sik
    • 한국산업융합학회 논문집
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    • 제25권2_1호
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    • pp.177-184
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    • 2022
  • The automatic defect sorting function of machinery parts is being introduced to the automation of the manufacturing process. In the final stage of automation of the manufacturing process, it is necessary to apply computer vision rather than human visual judgment to determine whether there is a defect. In this paper, we introduce a deep learning method to improve the classification performance of typical mechanical parts, such as welding parts, galvanized round plugs, and electro galvanized nuts, based on the results of experiments. In the case of poor welding, the method to further increase the depth of layer of the basic deep learning model was effective, and in the case of a circular plug, the surrounding data outside the defective target area affected it, so it could be solved through an appropriate pre-processing technique. Finally, in the case of a nut plated with zinc, since it receives data from multiple cameras due to its three-dimensional structure, it is greatly affected by lighting and has a problem in that it also affects the background image. To solve this problem, methods such as two-dimensional connectivity were applied in the object segmentation preprocessing process. Although the experiments suggested that the proposed methods are effective, most of the provided good/defective images data sets are relatively small, which may cause a learning balance problem of the deep learning model, so we plan to secure more data in the future.

Q 연구방법론에 의한 간호사의 스트레스 경험 유형에 관한 연구 (A Study on Types of stress in Nurses)

  • 정순영;양진향
    • 대한간호학회지
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    • 제23권2호
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    • pp.269-283
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    • 1993
  • The purpose of this study was to develop a typology of stress in Nurses through the use of a Q methodology. The research was done between June, 1 and November 30,1992 Fifty nurse working in a hospital were interviewed to solicit statements on their opinions about concepts factors and coping methods related to stress. The statements which were collected were classified and categorized to a find list 48 statements. Each of the statements was written dr a separate card and 30 nurses were a shed to sort the co\ulcorner\ulcorner\ulcorner ac-cording the degree of agreement along with quasinormal distribution. The results of the sorting by each subject were coded and analyzed using the Quanal PC program. As a result of the analysis, four types were identified ; Type I was classified and named as ” neccessary for living Type II was named as ” stimulues to be avoided Type III was named as ” situation to be consumption. Type IV was named as ” self-limited problem which can be solve The correlation among each types was relatively high, but the characteristics of each type are unique and distinct. throughout this study, it was indentified that the type of Nurse’s stress would be formed.

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주택 재건축 예비평가 자료분석을 통한 분야별 주요결함 발생현황 및 유지관리방안 고찰 (The Management Method for Preventing Frequent Defect about Each Inspection Part from The Data Analysis of Pre-qualification of Residential Building Reconstruction)

  • 배철학;이성옥;지명호
    • 한국주거학회논문집
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    • 제21권6호
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    • pp.71-80
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    • 2010
  • The purpose of this study is to classify defects of the residential building by analyzing the defect specified by prequalification of residential building reconstruction and to suggest the solution of the problem which can be arisen during each stage of plan, construction and maintenance. By sorting the main defects which is specified by pre-qualification of residential building reconstruction for three years from August 2006 to August 2009 into 4 catagories and analyzing the cause of the defects, we draw the way of maintenance to prevent the defects and make pleasant residential environment. The reason for the frequent defects from residential building is mainly deterioration. It occured on the finishing more than on the structure, which means that residents can find defects easier on the finishing than the structure and clear the demand for repair. The result of analyzing of pre-qualification of residential building reconstruction is that the defects mostly caused small, masonry constructed and lower apartment. The apartment which is not into legal right for maintenance naturally have more defects than the others. In conclusion, it is necessary to establish a law of obligation duty of the maintenance of small apartment.

의료용 베드 헤드 콘솔의 강도조건을 고려한 최적 설계 (Optimal Design of Medical Bed Head Consol Considering the Strength Condition)

  • 변성광;최하영;이봉구
    • 한국기계가공학회지
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    • 제15권3호
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    • pp.8-14
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    • 2016
  • Medical bed head consoles (BHC) are generally used to increase the efficiency of medical equipment and speed the medical treatment response time. The BHC design has been consistently improved including a movable shelf unit that is embedded to mount stably medical instruments on the lower part of the main console. The cost of a BHC can be reduced through design optimization to limit the overall weight. However, as the size of a head console might decrease due to design optimization, the BHC deflection could be increased. In this study, multi-objective optimal design was adopted to consider this BHC design problem. In order to reduce the cost of optimization planning, an approximate model was applied for the design optimization. In the context of approximate optimization, we used the response surface method and non-dominant sorting genetic algorithm developed from various fields. Multi-objective optimal solutions were also compared with a single objective optimal design.

Constructability optimal design of reinforced concrete retaining walls using a multi-objective genetic algorithm

  • Kaveh, A.;Kalateh-Ahani, M.;Fahimi-Farzam, M.
    • Structural Engineering and Mechanics
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    • 제47권2호
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    • pp.227-245
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    • 2013
  • The term "constructability" in regard to cast-in-place concrete construction refers mainly to the ease of reinforcing steel placement. Bar congestion complicates steel placement, hinders concrete placement and as a result leads to improper consolidation of concrete around bars affecting the integrity of the structure. In this paper, a multi-objective approach, based on the non-dominated sorting genetic algorithm (NSGA-II) is developed for optimal design of reinforced concrete cantilever retaining walls, considering minimization of the economic cost and reinforcing bar congestion as the objective functions. The structural model to be optimized involves 35 design variables, which define the geometry, the type of concrete grades, and the reinforcement used. The seismic response of the retaining walls is investigated using the well-known Mononobe-Okabe analysis method to define the dynamic lateral earth pressure. The results obtained from numerical application of the proposed framework demonstrate its capabilities in solving the present multi-objective optimization problem.

Optimization of injection molding process for car fender in consideration of energy efficiency and product quality

  • Park, Hong Seok;Nguyen, Trung Thanh
    • Journal of Computational Design and Engineering
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    • 제1권4호
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    • pp.256-265
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    • 2014
  • Energy efficiency is an essential consideration in sustainable manufacturing. This study presents the car fender-based injection molding process optimization that aims to resolve the trade-off between energy consumption and product quality at the same time in which process parameters are optimized variables. The process is specially optimized by applying response surface methodology and using non-dominated sorting genetic algorithm II (NSGA II) in order to resolve multi-object optimization problems. To reduce computational cost and time in the problem-solving procedure, the combination of CAE-integration tools is employed. Based on the Pareto diagram, an appropriate solution is derived out to obtain optimal parameters. The optimization results show that the proposed approach can help effectively engineers in identifying optimal process parameters and achieving competitive advantages of energy consumption and product quality. In addition, the engineering analysis that can be employed to conduct holistic optimization of the injection molding process in order to increase energy efficiency and product quality was also mentioned in this paper.

이동궤적 근사 다면체를 이용한 실시간 모션블러 기법 (Real-Time Motion Blur using Approximated Motion Trails)

  • 홍민푸;최진형;오경수
    • 한국게임학회 논문지
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    • 제17권1호
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    • pp.17-26
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    • 2017
  • 최근 실시간으로 모션블러(motion blur)를 위한 연구들은 픽셀당 여러개의 시간 색상을 계산한 후 평균내는 방식으로 샘플의 수가 적을 경우 아티펙트(artifacts)나 노이즈(noise)가 발생하는 문제를 가지고 있다. 본 논문은 이러한 문제를 개선하기 위해서 이동궤적 근사 다면체(motion trail)를 이용한 실시간 모션블러 알고리즘을 제안한다. 본 논문의 알고리즘에서는 현재 프레임과 이전프레임의 삼각형으로 이동궤적 근사 다면체를 만들고 전후 관계(front-to-back) 정렬방법과 시공간차원의 비트연산(bitwise operation)을 적용하여 여러 물체가 겹치는 순간의 가시성 문제를 해결했다. 결과적으로 가려지지 않은 이동궤적 근사 다면체만을 그리기에 매끄러운 블러 효과를 얻는다.