• 제목/요약/키워드: Individual performance

검색결과 3,004건 처리시간 0.033초

순차 및 병렬처리 환경에서 효율적인 다분야통합최적설계 문제해결 방법 (An Efficient Solution Method to MDO Problems in Sequential and Parallel Computing Environments)

  • 이세정
    • 한국CDE학회논문집
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    • 제16권3호
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    • pp.236-245
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    • 2011
  • Many researchers have recently studied multi-level formulation strategies to solve the MDO problems and they basically distributed the coupling compatibilities across all disciplines, while single-level formulations concentrate all the controls at the system-level. In addition, approximation techniques became remedies for computationally expensive analyses and simulations. This paper studies comparisons of the MDO methods with respect to computing performance considering both conventional sequential and modem distributed/parallel processing environments. The comparisons show Individual Disciplinary Feasible (IDF) formulation is the most efficient for sequential processing and IDF with approximation (IDFa) is the most efficient for parallel processing. Results incorporating to popular design examples show this finding. The author suggests design engineers should firstly choose IDF formulation to solve MDO problems because of its simplicity of implementation and not-bad performance. A single drawback of IDF is requiring more memory for local design variables and coupling variables. Adding cheap memories can save engineers valuable time and effort for complicated multi-level formulations and let them free out of no solution headache of Multi-Disciplinary Analysis (MDA) of the Multi-Disciplinary Feasible (MDF) formulation.

비즈니스 인큐베이터의 경영 성과 향상 및 차별화 전략 수립에 대한 연구 (A Study on Enhancing Managerial Performance of Business Incubators and Developing Differentiation Strategy)

  • 서다윤;배성욱;배성민
    • 품질경영학회지
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    • 제45권3호
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    • pp.463-481
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    • 2017
  • Purpose: This study provide the matching mechanism between startup and business incubator to enhance managerial performance of business incubator. In addition, we propose the differentiation strategy for business incubator based on the needs of startups. Methods: In order to carry out the research, we surveyed 216 startups who already have invested in venture capitals and angel investors and currently residing in business incubator and 30 venture capitals and angel investors. Based on survey results, we develop a business incubator capability table matching startup with business incubator. Results: Satisfaction and importance of the supporting programs varied depending on the startup experience and startup lifecycle. As a result, we recommended a R&D center for machinery/material, bio/medical and electric/electronics startups and individual office for ICT and knowledge service startups. In addition, we suggested a differentiation strategy to BI in university specialized for machinery/material, privately operated BI for electric/electronic, (local)government, R&D center and individual office for knowledge service respectively. Conclusion: In this study, business incubator capability table is applied to match startup with business incubator and it could be applied to evaluate the current status of business incubator. Furthermore, it will help to establish a future strategic direction for business incubator.

인지 및 비인지적 요인이 임금에 미치는 영향 (The Effect of Cognitive and Non-cognitive Skill on Wage Performance in Early Labor Market)

  • 김두순;서현주
    • 노동경제논집
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    • 제39권3호
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    • pp.33-73
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    • 2016
  • 본 논문에서는 한국고용정보원의 행정DB를 이용하여 인지능력과 비인지적 요인이 임금에 미치는 영향을 분석하였다. 개인의 인지능력으로는 적성검사(Aptitude Test Battery) 점수의 첫 번째 주성분을, 비인지적 요인은 성격 5요인(Big Five Personality Inventory) 점수를 활용하였다. 분석 결과, 인지능력과 비인지적 요인 중 성실성과 외향성이 임금수준에 긍정적 효과를 미치고, 그 유의성은 비교적 높았다. 본 연구에서 나타난 비인지 요인들에 대한 추정계수의 부호와 유의성 강도는 기존 심리학의 결론과 유사하였다. 한편 인지능력은 교육수준이 높을수록 임금수준에 대한 영향력이 더 커지는 것으로 나타났으며, 이러한 현상은 4년제 대학졸업자에서 강하게 작용하고 있었다.

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동적 데이터베이스 기반 태풍 진로 예측 (Dynamic data-base Typhoon Track Prediction (DYTRAP))

  • 이윤제;권혁조;주동찬
    • 대기
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    • 제21권2호
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    • pp.209-220
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    • 2011
  • A new consensus algorithm for the prediction of tropical cyclone track has been developed. Conventional consensus is a simple average of a few fixed models that showed the good performance in track prediction for the past few years. Meanwhile, the consensus in this study is a weighted average of a few models that may change for every individual forecast time. The models are selected as follows. The first step is to find the analogous past tropical cyclone tracks to the current track. The next step is to evaluate the model performances for those past tracks. Finally, we take the weighted average of the selected models. More weight is given to the higher performance model. This new algorithm has been named as DYTRAP (DYnamic data-base Typhoon tRAck Prediction) in the sense that the data base is used to find the analogous past tracks and the effective models for every individual track prediction case. DYTRAP has been applied to all 2009 tropical cyclone track prediction. The results outperforms those of all models as well as all the official forecasts of the typhoon centers. In order to prove the real usefulness of DYTRAP, it is necessary to apply the DYTRAP system to the real time prediction because the forecast in typhoon centers usually uses 6-hour or 12-hour-old model guidances.

Virtual Hill 및 Sink 개념 기반의 군집 로봇의 직선 대형 주행 기법 (Cluster Robots Line formatted Navigation Based on Virtual Hill and Virtual Sink)

  • 강요환;이민철;김지언;윤성민;노치범
    • 로봇학회논문지
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    • 제6권3호
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    • pp.237-246
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    • 2011
  • Robots have been used in many fields due to its performance improvement and variety of its functionality, to the extent which robots can replace human tasks. Individual feature and better performance of robots are expected and required to be created. As their performances and functions have increased, systems have gotten more complicated. Multi mobile robots can perform complex tasks with simple robot system and algorithm. But multi mobile robots face much more complex driving problem than singular driving. To solve the problem, in this study, driving algorithm based on the energy method is applied to the individual robot in a group. This makes a cluster be in a formation automatically and suggests a cluster the automatic driving method so that they stably arrive at the target. The energy method mentioned above is applying attractive force and repulsive force to a special target, other robots or obstacles. This creates the potential energy, and the robot is controlled to drive in the direction of decreasing energy, which basically satisfies lyapunov function. Through this method, a cluster robot is able to create a formation and stably arrives at its target.

우편원격훈련의 현업활용도에 관한 연구 (A Study on the Job Application of Postal Distance Training)

  • 유길상;양희경
    • 대한안전경영과학회지
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    • 제13권4호
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    • pp.179-191
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    • 2011
  • When it comes to the training program conducted by company to improve job performance ability, it would be not a investment but a waste if the training contents is not practically applied to the business accomplishment. Even though some people raise a question on the job application of postal distance training, funded by employment insurance, the study on the job application of postal distance training shows that the components of the training program have a positive effect on it and the model has 60.5% validity. Moreover, its control effect on environmental support and individual characteristics has been partially established. The study has been conducted by questioning survey with the employees who completed a postal education 3 months ago. With the result, we can find that the postal distance training benefits employees to improve their job performance abilities and expect that it continuously plays a crucial role in the field of company training through the development of high-quality training programs.

주요국의 통상정책과 한국의 FTA 정책방향에 관한 연구 (A Study on major nations and Koea's FTA policy)

  • 김종권
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2004년도 추계학술대회
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    • pp.415-438
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    • 2004
  • This dissertation is assumed to continuously occur adjustment cost on present investment. So, I derived from time-nonseparable production-based CAPM and tested the performance of model through data. I also compared time-nonseparable production-based CAPM with time-separable production-based CAPM and CCAPM, CAPM through testifying the performance of model. At the part of applied application, I estimated time-nonseparable PCAPM-betas. The data of Korea consists of 320 listed companies on Korea Stock Exchange (KOSPI) from first quarter 1987 to first quarter 2002. This data also is categorized by scale and industries. Additionally, I estimated time-nonseparable PCAPM-betas through 500 listed companies of New York Stock Exchange (NYSE) from first quarter 1973 to first quarter 2002. I observed the statistical significance of 230 firms by 320 companies in Korea. After that, I compared time-nonseparable PCAPM-betas by firms with time-separable production-based CAPM-betas and CCAPM-betas, CAPM-betas through individual firms. At empirical test, I found that estimated parameter of adjustment cost on time-nonseparable production-based CAPM by scale and industries in Korea had positive value and statistical significance, Moreover, this approach proved to resolve the underestimation of adjustment cost on time-separable production-based CAPM by scale and industries. I also found that the time-nonseparable PCAPM performed better than time-separable production-based CAPM and CCAPM, CAPM. The result from U.S data proved to have similarity to that of Korea. Specifically, I found that time-nonseparable PCAPM-betas by firms performed better than CAPM-betas on individual firms in Korea.

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A system model for reliability assessment of smart structural systems

  • Hassan, Maguid H.M.
    • Structural Engineering and Mechanics
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    • 제23권5호
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    • pp.455-468
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    • 2006
  • Smart structural systems are defined as ones that demonstrate the ability to modify their characteristics and/or properties in order to respond favorably to unexpected severe loading conditions. The performance of such a task requires a set of additional components to be integrated within such systems. These components belong to three major categories, sensors, processors and actuators. It is wellknown that all structural systems entail some level of uncertainty, because of their extremely complex nature, lack of complete information, simplifications and modeling. Similarly, sensors, processors and actuators are expected to reflect a similar uncertain behavior. As it is imperative to be able to evaluate the impact of such components on the behavior of the system, it is as important to ensure, or at least evaluate, the reliability of such components. In this paper, a system model for reliability assessment of smart structural systems is outlined. The presented model is considered a necessary first step in the development of a reliability assessment algorithm for smart structural systems. The system model outlines the basic components of the system, in addition to, performance functions and inter-relations among individual components. A fault tree model is developed in order to aggregate the individual underlying component reliabilities into an overall system reliability measure. Identification of appropriate limit states for all underlying components are beyond the scope of this paper. However, it is the objective of this paper to set up the necessary framework for identifying such limit states. A sample model for a three-story single bay smart rigid frame, is developed in order to demonstrate the proposed framework.

New Developments for Mosaic CCDs

  • Han, Wonyong
    • 한국우주과학회:학술대회논문집(한국우주과학회보)
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    • 한국우주과학회 1993년도 한국우주과학회보 제2권2호
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    • pp.21-21
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    • 1993
  • The imaging areas of currently available optical detectors are relatively small to cope with large image areas such as telescope focal Planes. One Possibility to obtain large detection areas is to assemble mosaics of Charge Coupled Devices(CCDs) and drive them simultaneously. Parallel driving of many CCDs together rules out the possibility of individual tuning; however such optimisation is very important when the ultimate low light level performance is required particularly for new devices. In this work, a new concept has been developed for an entirely novel approach where the drive waveforms are multiplexed and interleaved. This simultaneously reduces the number of leadout connections and permits individual optimisation efficiently. The controller has been designed to include one electronic of component produced by CAD software where most of the digital circuits are integrated to minimise the component count and improve the efficiency of the system greatly. The software has an open architecture to permit convenient modificationl by the user to fit their specific purposes. The desire of controller allows great flexibility of system parameters by the softwa re, specifically for the compatibility to deal with any number of mixed CCDs and in any format within the practical limit. The system has been integrated to test the performance and the result is discussed for readout noise, system linearity and cross-talk between the CCDs. The system developed in this work can be applicable not only for astro nomical observation with a telescope but also in other related fields for low light level detection systems such as spectroscopic application, remote sensing and X-ray detecti13n systems with large sensing areas and high resolution.

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신경회로망을 이용한 지능적 좌석 배치 시스템 (Intelligent Seat Align System Using Neural Network)

  • 최정연;김민철;정성부;이현관;엄기환
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2010년도 춘계학술대회
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    • pp.197-200
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    • 2010
  • 서비스 산업이 발달할수록 개인의 취향에 좋아하는 정보만을 제공받기 원하고 서비스를 받기 위한 대기시간이 길어지는 것을 좋아하지 않는다. 그러나 기존의 공연장, 극장, 도서관 등의 좌석관리 시스템은 개인의 취향에 맞게 자동으로 좌석 배치를 할 수 없으며 누구나 동일한 정보만 제공하여 준다. 본 논문에서는 이러한 문제점을 개선하기 위하여 개인의 취향에 맞게 즉 신체적인 조건이나 개인의 성향에 맞는 좌석을 지능적으로 배치하고, 선호하는 정보만을 제공할 수 있는 시스템을 제안한다. 제안한 시스템의 성능 확인을 위하여 임의의 극장 좌석 배치도를 이용하여 실험을 한 결과 우수한 성능을 보이는 것을 확인하였다.

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