• Title/Summary/Keyword: minimum-cost

Search Result 1,410, Processing Time 0.034 seconds

Female-Heads' Employment and Household Economic Status of the Single-Mother Households (편모가계 여성가장의 취업 및 가계의 경제상태 : 양부모 가계와의 비교 분석)

  • 이성림
    • Journal of Families and Better Life
    • /
    • v.22 no.1
    • /
    • pp.169-179
    • /
    • 2004
  • This study investigated female-head's employment and household economic status of the single-mother households compared to those in the two-parent households using the data from the Korean Labor and Income Panel Study. Major findings are: first, female-heads showed lower educational attainment, lower labor force participation rate, lower occupational status, and lower wage rates than male-heads; second, the level of household income was as 1.3 times as the Minimum Living Cost and the level of household expenditure was close to the Minimum Living Cost; third, one-thirds of single-mother households were in poverty. Based on the results, the implications to public policy were suggested.

Methods for Diagnosis and Minimum PT-Loading of PEM Fuel Cell Stack (자동차 연료전지 진단 및 백금 촉매제 최소화에 대한 연구)

  • Yoo, Seoug Yeol;Lee, Young-Hyun
    • The Transactions of The Korean Institute of Electrical Engineers
    • /
    • v.62 no.1
    • /
    • pp.105-108
    • /
    • 2013
  • To resolve global environmental problems, many automobile companies are making a great deal of effort to develop so-called green-cars. One of the solutions is an electric vehicle equipped with the PEMFC (Proton Exchange Membrane Fuel Cell) stack. However, the cost of the stack, at the moment, is still too high. This obstacle must be resolved for commercialized fuel cell cars. One of the reasons for high cost is a relatively large amount of Pt (platinum) in the membrane. In this paper, a method for reducing the Pt-loading is introduced. Furthermore, the durability of the stack will be important for a company to stay competitive in world markets (in the future). For this, the diagnosis of the stack must be conducted on-line. Some diagnosis methods as key technology are also introduced in this paper.

A Study on the $H_{\infty}$ Robust Controller for Adaptive Control-polynomial approach (적응제어를 위한 $H_{\infty}$ 강인제어기의 설계-다항식 접근방법)

  • Park, Seung-Kyu
    • Proceedings of the KIEE Conference
    • /
    • 1996.07b
    • /
    • pp.936-938
    • /
    • 1996
  • The $H_{\infty}$ robust controller is designed for on-line adaptive control application by using polynomial approach. The $H_{\infty}$ robust controllers for adaptive system were designed first by Grimble. But they have a problem that two minimum costs can exist and did not minimize the conventional $H_{\infty}$ cost function which is the $H_{\infty}$ sum of weighted sensitivity and complementary sensitivity terms. In this paper, the two minimum costs problem can be avoided and the conventional $H_{\infty}$ cost function is minimized by employing the Youla parameterization and polynomial approach at the same time. In addition pole placement is possible without any relation with weighting function.

  • PDF

Requirement Analysis and Optimal Design of an Operational Change Detection Software

  • Lee, Young-Ran;Bang, Ki-In;Shin, Dong-Seok;Jeong, Soo;Kim, Kyung-Ok
    • Korean Journal of Remote Sensing
    • /
    • v.20 no.3
    • /
    • pp.189-196
    • /
    • 2004
  • This paper describes what an operational change detection tool requires and the software which was designed and developed according to the requirements. The top requirement for the application of the software to operational change detection was identified: minimization of false detections, missing detections and operational cost. In order to meet such a requirement, the software was designed with the concept that the ultimate decision and isolation of changes must be performed manually by visual interpretation and all automatic algorithms and/or visualization techniques must be defined as support functions. In addition, the modular structure of the proposed software enables the addition of a new support function with the minimum development cost and minimum change of the operational environment.

The Shop Floor Control Problem in Automated Manufacturing Systems : Determination of Machining Speed with Due Date of Parts (자동생산체제의 작업장운영문제에서 부품의 납기를 고려한 가공속도 결정)

  • 노인규;박찬웅
    • Journal of Korean Society of Industrial and Systems Engineering
    • /
    • v.19 no.39
    • /
    • pp.293-299
    • /
    • 1996
  • The breakdown of machines lead to the lateness of parts and the change of schedules. Its treatment is very important problem in the shop floor control system. In this study, we present an algorithm minimize the lateness, earliness and change of schedule by controlling machining speed of available machines. Production time and production cost required to manufacture a piece of product are usually expressed as a unimodal convex fuction with respect to machining speed, and each has its minimal point at the minimum time speed or the minimum cost speed, and a speed range between these two speeds is called 'efficiency speed range'. Therefore, the algorithm determines the machining speed in the efficiency speed range. An example is demonstrated to explain the algorithm.

  • PDF

Speed Sensorless Vector Control of Induction Motors Using a Minimum-order Extended Kalman Filter (최소 차수 확장 칼만 필터를 이용한 속도센서 없는 유도전동기 벡터제어)

  • Lee, Seung-Hyun;Chung, Gyo-Bum
    • Proceedings of the KIEE Conference
    • /
    • 1998.11a
    • /
    • pp.171-175
    • /
    • 1998
  • This paper proposes a speed sensorless vector control of induction motor using a minimum-order EKF(extended kalman filter). Minimum-order EKF has the advantage of reducing the computational estimation cost because the stator current is not estimated. EKF does not deteriorate the performance of the overall speed control system, even though the measurements are relatively noisy. The estimated rotor speed is used for vector control and overall speed control. Computer simulations of the speed sensorless vector control are carried out to test the usefulness of the minimum-order EKF algorithm.

  • PDF

Estimation of Optimal Fare for Cloud Transportation System (클라우드교통시스템의 최적 요금 산정)

  • Ryu, Seong Beom;Bae, Sang Hoon
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.33 no.5
    • /
    • pp.1969-1980
    • /
    • 2013
  • The Traffic congestion is caused by the increasing traffic demand. Thus, economic losses have been increasing every year. To solve these problems, car sharing and rental car systems that are equipped with IT technologies emerge. Car sharing has many advantages-the alleviation of the traffic congestion, the saving of maintenance cost for cars, the reduction of car possessiveness, the solution for the hassle of car ownership, for business and personal duty, and the improvement of connectivity between public transportations-. The goal of the car sharing is to achieve low-carbon and eco-friendly transportation. In this study, we review papers related to the car sharing system and the cost system of traffic systems. We estimate the optimal cost of the cloud traffic system that is one of the car sharing services. We suggest a methodology to estimate operational cost and use cost through the analysis of cost system between similar traffic means. The range of the maximum and minimum cost was determined through the comparison and analysis of similar traffic means. Expected demand and the cost that people are willing to pay were estimated through optimized value pricing. The minimum cost per hour that was compared to the cost of rental car was estimated at 5,333 won and the maximum cost per hour that was compared to taxi cost was estimated at 17,700 won. The cost for users was estimated at 6,930 won. The cost of 50% demands was estimated at 6,550won. Future studies should analyze service hours of users, weather, demand pattern and trend and consider them into the cost estimation.

Optimum Scheduling Algorithm for Job Sequence, Common Due Date Assignment and Makespan to Minimize Total Costs for Multijob in Multimachine Systems (다수(多数) 기계(機械)의 총비용(總費用)을 최소화(最小化)하는 최적작업순서, 공통납기일 및 작업완료일 결정을 위한 일정계획(日程計劃))

  • No, In-Gyu;Kim, Sang-Cheol
    • Journal of Korean Institute of Industrial Engineers
    • /
    • v.12 no.1
    • /
    • pp.1-11
    • /
    • 1986
  • This research is concerned with n jobs, m parallel identical machines scheduling problem in which all jobs have a common due date. The objective of the research is to develop an optimum scheduling algorithm for determining an optimal job sequence, the optimal value of the common due date and the minimum makespan to minimize total cost. The total cost is based on the common due date cost, the earliness cost, the tardiness cost and the flow time cost of each job in the selected sequence. The optimum scheduling algorithm is developed. A numerical example is given to illustrate the scheduling algorithm.

  • PDF

The forecast of renewable generation cost in Korea (국내 신재생에너지 원별 발전단가 전망)

  • Kim, Kilsin;Han, Youri
    • 한국신재생에너지학회:학술대회논문집
    • /
    • 2011.05a
    • /
    • pp.140-140
    • /
    • 2011
  • Korea's RPS, which requires that power generation companies obtain a minimum percentage of their generation by using renewable energy, will take effect in 2012. Based on the first-year law enforcement, generation companies have to satisfy 2% of RPS compliance ratio in 2012. Then, the required RPS compliance ratio will increase up to 10% in 2022. Thus generation companies need to construct power plants that utilize various types of renewable energy sources such as PV and wind power. This work is aimed to analyze the cost of such a renewable power source in terms of capital cost, capacity factor, and fuel cost. We provide the analytical expectation on the renewable power generation cost of 2012 focusing on PV, onshore/offshore wind, fuel cell, and IGCC, which are focused by government policy.

  • PDF

A study on the lifting posture predictivity of biomechanical cost functions (인체역학적 비용함수들의 lifting 자세 예측도 비교)

  • 최재호;박우진;정의승
    • Proceedings of the Korean Operations and Management Science Society Conference
    • /
    • 1996.04a
    • /
    • pp.147-150
    • /
    • 1996
  • Human posture prediction and motion simulation methods try to solve inverse kinematic problems using the optimization technique based on the concept of minimum principle. It is very important to select a cost function which relfects the human posture acurately. In this study, lifting postures were predicted using the five biomechanical cost functions and compared with real human postures in order to evaluate the predictivities of the cost functions. The result showed that all the biomechanical cost functions used in this study could not predict lifting postures accurately. The cost function which minimizes the sum of joint moments showed the smallest mean prediction error, while the one which minimizes the MUR showed statistically better performance.

  • PDF