• 제목/요약/키워드: Multiple constraints

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도시 직업여성의 여가동기와 여가제약협상의 관계 (The Relationship Between Leisure Motivation and Leisure Constraints Negotiation of Career Women in City)

  • 김형훈;임영삼
    • 한국체육학회지인문사회과학편
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    • 제51권5호
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    • pp.559-568
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    • 2012
  • 본 연구는 도시 직업여성의 여가동기와 여가제약협상의 관계를 분석하는데 목적이 있다. 연구를 위해 2011년 9월 부터 12월 까지 3개월간 유목적표집법(Purposive sampling)을 활용하여 서울지역 내 기업체, 은행 및 병원 등을 선정하고 총 300부의 설문지를 배부하여 281부가 회수되었다. 이후 응답이 누락되거나 설문내용이 불성실하다고 판단되는 설문 12부를 제외하고 269부의 설문자료를 실제분석에 사용하였다. 자료처리는 SPSS 18.0을 이용하여 빈도분석, 탐색적 요인분석, 신뢰도 분석, 상관관계분석 및 다중회귀분석을 활용하였다. 결과는 다음과 같다. 첫째, 도시 직업여성의 여가동기는 여가제약협상에 정적인 관계가 있는 것으로 나타났다. 둘째, 지적동기는 여가제약협상 하위요인 모두에서 유의한 영향을 미치는 것으로 나타났다. 셋째, 사회적동기는 동반자탐색, 비용·시간관리, 강도조절요인에서 유의한 영향을 미치는 것으로 나타났다. 넷째, 유능적동기는 동반자탐색, 비용·시간관리, 기술습득, 열망변화요인에 유의한 영향을 미치는 것으로 나타났다.

비즈니스 서비스간의 오류 정제를 위한 데이터 제약조건 자동 설정 기법 (An Automatic Setting Method of Data Constraints for Cleansing Data Errors between Business Services)

  • 이정원
    • 한국컴퓨터정보학회논문지
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    • 제14권3호
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    • pp.161-171
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    • 2009
  • 본 논문에서는 SOA(Service-Oriented Architecture)를 기반으로 서비스간에 상호 작용하는 데이터의 품질 관리를 위한 오류 정제 서비스를 대상으로 데이터 제약조건 설정 시 인간 개입을 최소화하기 위한 기법을 제안한다. 단, 실세계에서 통용되는 일반적인 데이터를 모두 다루는 것은 불가능하므로 비즈니스 도메인에서 자주 사용되는 CRM(Customer Relationship Management)과 ERP(Enterprise Resource Planning) 서비스와 같이 고객 주문 정보 및 처리에 관련된 데이터를 대상으로 한다. 이를 위해, 컴포지션 되는 서비스간의 상호 작용하는 데이터를 의미적으로 확장하여 확장-엘리먼트 벡터를 생성하고 이를 기반으로 의사결정 트리(decision tree) 학습 방법을 적용하여 제약조건 설정을 자동화하기 위한 규칙 기반 시스템을 구축한다. 이 시스템을 오류정제 서비스에 삽입한 결과, 비즈니스 분야의 공개된 서비스로부터 데이터 학습을 통해 제약조건 설정을 41% 넘게 자동화 할 수 있음을 보였다.

Zoning Permanent Basic Farmland Based on Artificial Immune System coupling with spatial constraints

  • Hua, Wang;Mengyu, Wang;Yuxin, Zhu;Jiqiang, Niu;Xueye, Chen;Yang, Zhang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권5호
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    • pp.1666-1689
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    • 2021
  • The red line of Permanent Basic Farmland is the most important part in the "three-line" demarcation of China's national territorial development plan. The scientific and reasonable delineation of the red line is a major strategic measure being taken by China to improve its ability to safeguard the practical interests of farmers and guarantee national food security. The delineation of Permanent Basic Farmland zoning (DPBFZ) is essentially a multi-objective optimization problem. However, the traditional method of demarcation does not take into account the synergistic development goals of conservation of cultivated land utilization, ecological conservation, or urban expansion. Therefore, this research introduces the idea of artificial immune optimization and proposes a multi-objective model of DPBFZ red line delineation based on a clone selection algorithm. This research proposes an objective functional system consisting of these three sub-objectives: optimal quality of cropland, spatially concentrated distribution, and stability of cropland. It also takes into consideration constraints such as the red line of ecological protection, topography, and space for major development projects. The mathematical formal expressions for the objectives and constraints are given in the paper, and a multi-objective optimal decision model with multiple constraints for the DPBFZ problem is constructed based on the clone selection algorithm. An antibody coding scheme was designed according to the spatial pattern of DPBFZ zoning. In addition, the antibody-antigen affinity function, the clone mechanism, and mutation strategy were constructed and improved to solve the DPBFZ problem with a spatial optimization feature. Finally, Tongxu County in Henan province was selected as the study area, and a controlled experiment was set up according to different target preferences. The results show that the model proposed in this paper is operational in the work of delineating DPBFZ. It not only avoids the adverse effects of subjective factors in the delineation process but also provides multiple scenarios DPBFZ layouts for decision makers by adjusting the weighting of the objective function.

Highly Dense 3D Surface Generation Using Multi-image Matching

  • Noh, Myoung-Jong;Cho, Woo-Sug;Bang, Ki-In
    • ETRI Journal
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    • 제34권1호
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    • pp.87-97
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    • 2012
  • This study presents an automatic matching method for generating a dense, accurate, and discontinuity-preserved digital surface model (DSM) using multiple images acquired by an aerial digital frame camera. The proposed method consists of two main procedures: area-based multi-image matching (AMIM) and stereo-pair epipolar line matching (SELM). AMIM evaluates the sum of the normalized cross correlation of corresponding image points from multiple images to determine the optimal height of an object point. A novel method is introduced for determining the search height range and incremental height, which are necessary for the vertical line locus used in the AMIM. This procedure also includes the means to select the best reference and target images for each strip so that multi-image matching can resolve the common problem over occlusion areas. The SELM extracts densely positioned distinct points along epipolar lines from the multiple images and generates a discontinuity-preserved DSM using geometric and radiometric constraints. The matched points derived by the AMIM are used as anchor points between overlapped images to find conjugate distinct points using epipolar geometry. The performance of the proposed method was evaluated for several different test areas, including urban areas.

멀티센서 시스템을 이용한 3차원 형상의 기상측정에 관한 연구 (A Study on the 3-dimensional feature measurement system for OMM using multiple-sensors)

  • 권양훈;윤길상;조명우
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2002년도 추계학술대회 논문집
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    • pp.158-163
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    • 2002
  • This paper presents a multiple sensor system for rapid and high-precision coordinate data acquisition in the OMM (On-machine measurement) process. In this research, three sensors (touch probe, laser, and vision sensor) are integrated to obtain more accurate measuring results. The touch-type probe has high accuracy, but is time-consuming. Vision sensor can acquire many point data rapidly over a spatial range but its accuracy is less than other sensors. Also, it is not possible to acquire data for invisible areas. Laser sensor has medium accuracy and measuring speed among the sensors, and can acquire data for sharp or rounded edge and the features with very small holes and/or grooves. However, it has range- constraints to use because of its system structure. In this research, a new optimum sensor integration method for OMM is proposed by integrating the multiple-sensor to accomplish mote effective inspection planning. To verify the effectiveness of the proposed method, simulation and experimental works are performed, and the results are analyzed.

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VIRTUAL PASSIVITY-BASED DECENTRALIZED CONTROL OF MULTIPLE 3-WHEELED MOBILE ROBOTIC SYSTEMS VIA SYSTEM AUGMENTATION

  • SUH J. H.;LEE K. S.
    • International Journal of Automotive Technology
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    • 제6권5호
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    • pp.545-554
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    • 2005
  • Passive velocity field control (PVFC) was previously developed for fully mechanical systems, in which the motion task was specified by behaviors in terms of a velocity field and the closed-loop was passive with respect to the supply rate given by the environment input. However, the PVFC was only applied to a single manipulator. The proposed control law was derived geometrically and the geometric and robustness properties of the closed-loop system were also analyzed. In this paper, we propose a virtual passivity-based algorithm to apply decentralized control to multiple 3­wheeled mobile robotic systems whose subsystems are under nonholonomic constraints and convey a common rigid object in a horizontal plain. Moreover, it is shown that multiple robot systems ensure stability and the velocities of augmented systems converge to a scaled multiple of each desired velocity field for cooperative mobile robot systems. Finally, the application of proposed virtual passivity-based decentralized algorithm via system augmentation is applied to trace a circle and the simulation results is presented in order to show effectiveness for the decentralized control algorithm proposed in this research.

Effect of Social Norm on Consumer Demand: Multiple Constraint Approach

  • Choi, Sungjee;Nam, Inwoo;Kim, Jaehwan
    • Asia Marketing Journal
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    • 제22권1호
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    • pp.41-60
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    • 2020
  • The goal of the study is to understand the role of social norm in purchase decisions where demand is revealed in the form of multiple-discreteness. Consumers are socially engaged in various activities through the expectation from others in their community. Actions or decisions are likely to reflect this influence. This implicit or explicit social norm is revealed as the rules, regulations, and standards that are understood, shared, endorsed, and expected by group members. When consumers' decisions are in distance from the norm, they come to face discomfort such as shame, guilt, embarrassment, and anxiety. These pressure act as a constraint as opposed to utility in their decision making. In this study, the effect of social norms on consumer demand is captured via multiple constraint model where constraints are not only from budget equation but also from psychological burden induced by the deviation from the norm. The posterior distributions of model parameters were estimated via conjoint study allowing for heterogeneity via hierarchical Bayesian framework. Individual characteristics such as age, gender and work experience are also used as covariates for capturing the observed heterogeneity. The empirical results show the role of social norm as constraint in consumers' utility maximization. The proposed model accounting for social constraint outperforms the standard budget constraint-only model in terms of model fit. It is found that people with longer job experience tend to be more robust and resistant to the deviation from the norm. Incorporating social norm into the utility model allows for another means to disentangle the reason for no-purchase as 'not preferred' and 'not able to buy'.

자동창고 설계를 위한 최적화 모형에 관한 연구 (A Study On the Optimization Model for the Design of Automated Warehouses)

  • 김성태;김재연
    • 산업경영시스템학회지
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    • 제16권27호
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    • pp.73-82
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    • 1993
  • In this paper, We determine the expected travel time for several forks Storage/Retrieval machine which is allowed multiple stops in aisle. When throughput is increased, We propose adding to fork number of each S/R machine rather than adding to number of S/R machine, We also describe such a model which determines the optimal number of each several forks S/R machine subject to constraints on the hourly throughput and warehouse dimensions. Numerical example is presented to compare warehouse shapes against each single fork, twin forks, triple forks S/R machine for various throughput values.

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CASB-DELETION DIAGNOSTICS FOR TESTING A LINEAR HYPOTHESIS ABOUT REGRESSION COEFFICIENTS

  • Kim, Myung-Geun
    • Journal of applied mathematics & informatics
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    • 제10권1_2호
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    • pp.111-118
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    • 2002
  • We study the influence of observations on testing a linear hypothesis using single and multiple case-deletions. The change in the F-test statistic due to case-deletions is shown to be completely determined by two externally Studentized residuals. These residuals we used for investigating the outlyingness when there are linear constraints or not. An illustrative example is given. It shows the usefulness of case-deletions.

A Mixed 0-1 Linear Program for the Inspection Location Problem

  • Yum, Bong-Jin
    • 대한산업공학회지
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    • 제10권1호
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    • pp.11-16
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    • 1984
  • An economic model is developed for determining optimal locations of screening inspection stations in a multistage production system. The effect of screening inspection on the production rate is explicitly considered, and a fixed cost for maintaining an inspection station is assumed. The product is allowed to have multiple defects, each of which may be inspected at any inspection station after the defect-generating operation. The problem is formulated as a mixed 0-1 linear program which offers the advantage of versatility in handling various system constraints.

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