• 제목/요약/키워드: schedule model

검색결과 720건 처리시간 0.03초

소프트웨어 비용추정 모형에 관한 소고

  • 김인수;이대기
    • ETRI Journal
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    • 제9권3호
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    • pp.139-156
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    • 1987
  • The problems in software cost management are well known. Cost estimates are too low. Software development projects frequently have cost overruns, which are due to poor estimates. A fair amount of work have been done toward developing cost estimation models. These models vary in their outputs (e. g., total cost, manning schedule) and in the factors used to calculate their estimates. They also vary with regard to the type of formula, parameters, use of previous data, and staffing considerations. This paper will distinguish them by the type of formula they use to calculate total effort and staffing level, and will discuss enough models to demonstrate the characteristics of each model category.

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Screening of Korean medicinal plants for antitumor activity

  • Chang, Il-Moo;Woo, Won-Sick
    • Archives of Pharmacal Research
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    • 제3권2호
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    • pp.75-78
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    • 1980
  • Potential antinumor activity of sixteen Korean medicinal plants was tested against leukemia SN 36, murine tomor model. Survival studies by measuring life span indicated that Morus alba (Moraceae), Verbascum phlomoides (Scrophulariaceae), Curcuma longa (Zingbieraceae), Torilis japonica (Umbelliferae), Bupleurum falcatum (Umbelliferae) and Codonopsis pilosula (Campanulaceae) exhibited significant antitumor activity with the dose-schedule employed in the experiment. Methanol (70%) extracts of Platycodon gradiflorum (Campanulaceae), Bupleurum longeradiatum (Umbelliferae) and Asiasarum sieboldii (Aristolochiaceae) showed rather potent toxicity.

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에너지절약형 주택에서의 단열차양 적용과 제어방법에 따른 냉난방부하 분석 (An Analysis of Heating and Cooling Loads by Insulated Shades and Control Method in an Energy Saving Apartment)

  • 권경우;원종서
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2009년도 하계학술발표대회 논문집
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    • pp.33-38
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    • 2009
  • Energy loss from windows accounts for large scores of heating and cooling loads also in energy saving apartments that is reduced over 30% of total energy consumption. Movable reflective insulations, insulation shutters, blinds, insulated shades are used to reduce energy loads from windows. In this study, energy saving performance of insulated shades was simulated by control methods. According to installation of insulated shades, heating loads were decreased about $10.5{\sim}11.3%$, and cooling loads are decreased about $11.0{\sim}15.5%$ on an energy saving apartment. The heating peak load was reduced about 9.5% by insulated shades, but the cooling peak load is hardly ever decreased. Because in the condition of cooling peak load, latent cooling loads accounts for large score of cooling loads. Difference of the energy loads by a schedule control method and an outdoor detection control was no more than 5% for a base model. In the case of insulated shades with automatic control system, simple time schedule control system would be more efficient than outdoor detection control system that should use several sensors.

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Overemployment of Workers in Penang, Malaysia: An Empirical Analysis

  • Fernandez, Jacqueline Liza;Shiang, Lim Ee
    • The Journal of Asian Finance, Economics and Business
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    • 제4권4호
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    • pp.17-26
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    • 2017
  • Many workers today encounter the problem of overemployment which occurs when actual working hours exceed preferred or desired working hours. Overemployed workers desire to work fewer hours although this may entail a concomitant decline in earnings. This research is conducted to examine the likelihood of overemployment among employees in a particular state in Malaysia, that is, Penang. This study uses primary data that was collected in a survey encompassing a total of 525 employees in the state. A logit model is used to analyse the relationship between the likelihood of overemployment and various socio-demographic, household and work-related variables. The factors that are significantly related to overemployment are ethnicity, age, education, number of children in the household, occupation, hours of work and control over work schedule. Based on the findings of this paper, it is suggested that policies such as offering part-time jobs or job-sharing options to older workers, implementing family-friendly policies, adopting decent working time measures and strategies that give workers more control over their work schedule are some possible ways to deal with the issue of overemployment.

3D 부품모델 실시간 인식을 위한 로봇 비전기술 개발 (Development of Robot Vision Technology for Real-Time Recognition of Model of 3D Parts)

  • 심병균;최경선;장성철;안용석;한성현
    • 한국산업융합학회 논문집
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    • 제16권4호
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    • pp.113-117
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    • 2013
  • This paper describes a new technology to develop the character recognition technology based on pattern recognition for non-contacting inspection optical lens slant or precision parts, and including external form state of lens or electronic parts for the performance verification, this development can achieve badness finding. And, establish to existing reflex data because inputting surface badness degree of scratch's standard specification condition directly, and error designed to distinguish from product more than schedule error to badness product by normalcy product within schedule extent after calculate the error comparing actuality measurement reflex data and standard reflex data mutually. Developed system to smallest 1 pixel unit though measuring is possible 1 pixel as $37{\mu}m{\times}37{\mu}m$ ($0.1369{\times}10-4mm^2$) the accuracy to $1.5{\times}10-4mm$ minutely measuring is possible performance verification and trust ability through an experiment prove.

퍼지 최적화기법을 이용한 유연 흐름 생산시스템의 근사 최적 스케쥴링 (Near optimal scheduling of flexible flow shop using fuzzy optimization technique)

  • 박승규;이창훈;장석호;우광방
    • 제어로봇시스템학회논문지
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    • 제4권2호
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    • pp.235-245
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    • 1998
  • This paper presents the fuzzy optimization model based scheduling methodology for the efficient production control of a FFS(FIexible Flow Shop) under the uncertain production environment. To develop the methodology, a fuzzy optimization technique is introduced in which the uncertain production capacity caused by the random events like the machine breakdowns or the absence of workers is modeled by fuzzy number. Since the problem is NP hard, the goal of this study is to obtain the near optimal but practical schedule in an efficient way. Thus, Lagrangian relaxation method is used to decompose the problem into a set of subproblems which are easier to solve than the original one. Also, to construct the feasible schedule, a heuristic algorithm was proposed. To evaluate the performance of the proposed method, computational experiments, based on the real factory data, are performed. Then, the results are compared with those of the other methods, the deterministic one and the existing one used in the factory, in the various performance indices. The comparison results demonstrate that the proposed method is more effective than the other methods.

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프로젝트 진도 측정 방법의 비교와 적용에 관한 연구 (A Study on the Comparison and Application of the Methods of Measuring Projects'Progress)

  • 민택기;송창용
    • 산업경영시스템학회지
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    • 제36권3호
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    • pp.87-94
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    • 2013
  • The progress that becomes a basis for measuring the outcome of project is a core of project control. Follow-up corrective actions are determined depending on the degree of their differences. The methods of measuring the project progress have been developed though a variety of research and many were verified through the cases. Among such methods, this study selected Start/Finish method and Fixed Formula method. In order to check the limitations of the progress utilized in the two methods, the study compared their progresses to the progress of Percentage Complete method and analyzed the differences shown in their actual applications. Through this, it suggested the forms and scale of the projects appropriate to the application of Fixed Formula method. As for the research progress method, the study first generated a number of virtual project schedules for the establishment of an analysis model. These project schedules were varied in a way that they had different project periods and the number of different activities. The study also generated numerous project schedules for difference test. After establishing a virtual schedule plan by the scale of projects, it measured their progresses by period, analyzed the differences and repeated this procedure to obtain the results.

조선소의 메가블록 조립작업장을 위한 공간계획알고리즘 개발 (Spatial Scheduling for Mega-block Assembly Yard in Shipbuilding Company)

  • 고시근;장정희;최대원;우상복
    • 산업공학
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    • 제24권1호
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    • pp.78-86
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    • 2011
  • To mitigate space restriction and to raise productivity, some shipbuilding companies use floating-docks on the sea instead of dry-docks on the land. In that case, a floating-crane that can lift very heavy objects (up to 3,600 tons) is used to handle the blocks which are the basic units in shipbuilding processes, and so, very large blocks (these are called the mega-blocks) can be used to build a ship. But, because these mega-blocks can be made only in the area near the floating-dock and beside the sea, the space is very important resource for the process. Therefore, our problem is to make an efficient spatial schedule for the mega-block assembly yard. First of all, we formulate this situation into a mathematical model and find optimal solution for a small problem using a commercial optimization software. But, the software could not give optimal solutions for practical sized problems in a reasonable time, and so we propose a GA-based heuristic algorithm. Through a numerical experiment, finally, we show that the spatial scheduling algorithm can provide a very good performance.

Maritime Transportation Planning Support System for a Car Shipping Company

  • Park, Byung-Joo;Choi, Hyung-Rim;Kim, Hyun-Soo;Jun, Jae-Un
    • 한국항해항만학회지
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    • 제32권4호
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    • pp.295-304
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    • 2008
  • In order to achieve a sustainable competitive advantage in the expanding maritime transportation market, most shipping companies are making every effort to reduce transportation costs. Likewise, the car shipping companies, which carry more than 80% of total car import and export logistics volume, also do their utmost for transportation cost saving. Until now many researches have been made for efficient maritime transportation, but studies for car shipping companies have rarely been made. For this reason, this study has tried to develop a maritime transportation planning support system which can help to save logistics costs and increase a competitive power of car shipping companies. To this end, instead of manual effort to solve the routing problem of car carrier vessels, this study has used an integer programming model to make an optimal transportation planning at the minimum cost. Also in response to the frequent changes both in the car production schedule and ship's arrival schedule after the completion of transportation planning, this research has developed a decision support system of maritime transportation, so that users can easily modify their existing plans.

Interference-free Clustering Protocol for Large-Scale and Dense Wireless Sensor Networks

  • Chen, Zhihong;Lin, Hai;Wang, Lusheng;Zhao, Bo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권3호
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    • pp.1238-1259
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    • 2019
  • Saving energy is a big challenge for Wireless Sensor Networks (WSNs), which becomes even more critical in large-scale WSNs. Most energy waste is communication related, such as collision, overhearing and idle listening, so the schedule-based access which can avoid these wastes is preferred for WSNs. On the other hand, clustering technique is considered as the most promising solution for topology management in WSNs. Hence, providing interference-free clustering is vital for WSNs, especially for large-scale WSNs. However, schedule management in cluster-based networks is never a trivial work, since it requires inter-cluster cooperation. In this paper, we propose a clustering method, called Interference-Free Clustering Protocol (IFCP), to partition a WSN into interference-free clusters, making timeslot management much easier to achieve. Moreover, we model the clustering problem as a multi-objective optimization issue and use non-dominated sorting genetic algorithm II to solve it. Our proposal is finally compared with two adaptive clustering methods, HEED-CSMA and HEED-BMA, demonstrating that it achieves the good performance in terms of delay, packet delivery ratio, and energy consumption.