• Title/Summary/Keyword: benefit function

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Developing an Optimum Equipment Model for Agricultural Reservoir Considering Beneficiary (수혜 인원을 고려한 농업용 저수지의 최적 정비 모델 개발)

  • Kim, Si-Woon;Kim, Jong-Ok;Park, Seong-Ki;Jung, Nam-Su;Jang, Woo-Seok;Lee, Sae-Hee;Choi, Won
    • Journal of The Korean Society of Agricultural Engineers
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    • v.50 no.6
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    • pp.75-81
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    • 2008
  • The purpose of this study was to develop an optimum equipment model considering various objective functions and variables of agricultural reservoir. Traditional optimum function for feasibility assessment is based on economic benefit, but we tried new approach of feasibility assessment based on the number of beneficiary. The data of Yuraimi reservoir and Yongbong reservoir in Yesan-gun such as numbers of related people, construction costs, safe diagnosis have been gathered for applying developed model. Data are used for determining optimum strategy with restricted cost. For verifying results of optimum maintenance, real maintenance data of Yuraimi reservoir were compared with simulated strategy. Results show that simulated maintenance strategies are 3 times more effective than real maintenance data.

Optimization-Based Congestion Control for Internet Multicast Communications

  • Thu Hang Nguyen Thi;Erke Taipio
    • Proceedings of the IEEK Conference
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    • summer
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    • pp.294-301
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    • 2004
  • This paper presents a combination of optimization concept and congestion control for multicast communications to bring best benefit for the network. For different types of Internet services, there will be different utility functions and so there will be different ways to choose on how to control the congestion, especially for real time multicast traffic. Our proposed algorithm OMCC brings the first implementation experiment of utility-based Multicast Congestion Control. Simulation results show that OMCC brings better network performances in multicast session throughput while it still keeps a certain fairness of unicast and multicast sessions, and thus, provides better benefit for all network participants.

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A Model for Determining Optimal Operating Time of Aircrafts Attacking Multiple Targets (다수 표적을 공격하는 편대항공기의 최적작전시간 결정 모형)

  • Kim Yong-Bok;Min Gye-Ryo
    • Journal of the military operations research society of Korea
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    • v.18 no.1
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    • pp.61-73
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    • 1992
  • Up to the present, the operating time has been studied on only a single aircraft attacking a single target or multiple targets under enemy threats. This study is to determine optimal operating time and appropriate size of aircrafts attacking multiple targets. Measures of mission effectiveness is defined through derivation of the probability of the various events associated with operating. By using these measures, the expected benefit of operating and the expected cost of operating are generated as a function of time. To formulate operating time determination model, the expected gain of operating is defined as the difference between the expected benefit of operating and the expected cost of operating. The model can be used to determine optimal operating time which maximizes the expected gain of operating, and can be used as the basis for determining the appropriate size of aircrafts.

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Probabilistic Analysis of Fuel Cycle Strategy in Korea

  • Kim, Jin-Soo;Kim, Chang-Hyo;Lee, Chang-Kun
    • Nuclear Engineering and Technology
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    • v.8 no.4
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    • pp.219-229
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    • 1976
  • A statistical approach is employed to investigate the relative advantages of several alternative fuel cycles suitable for a hypothetical 1125 MWe plant in Korea. All the fuel cost parameters are treated as statistical variables, each being associated with an appropriate probability distribution function. Through a random sampling procedure, the probability histograms on both capital requirements and break-even costs of various fuel cycle components are obtained. The histograms are then utilized to quantify the cost-benefit of the fuel cycle with reprocessing or the plutonium recycle over the throwaway cycle.

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Estimation of the Benefit from the Campaign to Prevent Drowsy Driving Crashes Using a Contingent Valuation Method (조건부 가치측정법을 이용한 고속도로 졸음운전 교통사고 예방 캠페인 편익 추정)

  • Park, Sangmin;Kim, Kyunghyun;Ko, Hangeom;Jung, Young Sick;Ryu, Jong Deug;Yun, Ilsoo
    • International Journal of Highway Engineering
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    • v.18 no.5
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    • pp.75-82
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    • 2016
  • PURPOSES : This study was initiated to estimate the benefits from the campaign to prevent drowsy driving crashes on expressways. The study was conducted by the Korea Expressway Corporation using a contingent valuation method. METHODS : First, a questionnaire was designed for a preliminary survey. From the survey's results, the initial willingness to pay for the campaign was determined by averaging different amounts of payments chosen under virtual scenarios in the survey. The willingness to pay data was used to find a first bid price for the open-ended method used for the second survey. After that, a primary questionnaire was designed and conducted using a single dichotomous choice question (SDBCQ). Drivers at expressway resting areas were asked their willingness to pay for the campaign. Based on statistical analysis using data collected from the second survey, the mean willingness to pay was estimated using a probability utility function. Finally, the benefit from the campaign was calculated using the estimated willingness to pay and accident data on expressways. CONCLUSIONS : Based on the result from the contingent valuation method, the benefit from the campaign to prevent drowsy driving crashes was estimated to be 170.6 won per expressway trip. The benefit is to be paid as an additional toll. In addition, the traffic crash cost estimate is about 2,209,680,000 won less than the cost during the same period in 2014.

The Effects of Cognitive Stimulation Circulative Program on the Depression and Social Cognitive Ability of Stroke Patients (뇌졸중 환자의 우울 및 사회인지 능력에 대한 인지자극순환프로그램의 효과)

  • Do, Ji-Hye;Kim, Eun-Joo
    • Journal of Digital Convergence
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    • v.17 no.6
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    • pp.439-446
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    • 2019
  • Poststroke depression can have a secondary effect on social cognition, and this can lead to behavioral problems. The purpose of this study was to verify the effects of a Cognitive Stimulation Circulative Program(CSCP) based on occupational therapy. The participants of this study were 12 stroke patients. The CSCP was organized in such a way to promote the cognitive process. This program were carried out as a circuit program(16 sessions). As a result of this study, the depression scale of the subjects had statistically significant benefit(p<.05). Also, the evaluation results verified partial improvement in quality of life, and the relationship change scale which was used to evaluate role of physical and social cognitive function ability had statistically significant benefit(p<.05). The above results of this study verified that the CSCP was an efficient intervention program that reduces the depression of stroke patients and improve their social cognitive function ability, thus enhancing the quality of life.

On Choice of Kautz functions Pole and its Relation with Accuracy in System Identification

  • Bae, Chul-Min;Wada, Kiyoshi;Imai, Jun
    • 제어로봇시스템학회:학술대회논문집
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    • 1999.10a
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    • pp.125-128
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    • 1999
  • A linear time-invariant model can be described either by a parametric model or by a nonparametric model. Nonparametric models, for which a priori information is not necessary, are basically the response of the dynamic system such as impulse response model and frequency models. Parametric models, such as transfer function models, can be easily described by a small number of parameters. In this paper aiming to take benefit from both types of models, we will use linear-combination of basis fuctions in an impulse response using a few parameters. We will expand and generalize the Kautz functions as basis functions for dynamical system representations and we will consider estimation problem of transfer functions using Kautz function. And so we will present the influences of poles settings of Kautz function on the identification accuracy.

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Median Sterontomy for Bilateral Resection of Emphysematous Bullae (정중 흉골 절개술을 통한 양측의 기종성 폐포의 절제)

  • 이성윤
    • Journal of Chest Surgery
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    • v.23 no.4
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    • pp.720-730
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    • 1990
  • The complicated pulmonary emphysema including “Giant bullae” and spontaneous pneumothorax often involve both lungs, and controversy exists concerning which is the more rational means of surgical treatment-bilateral simultaneous operation or two staged operation. We report three cases of the complicated bilateral bullous emphysema and two cases of bilateral spontaneous pneumothorax treated through median sternotomy. We performed the ligation of bullae, bullectomy, cystectomy, wedge resection, and left lower lobectomy through median sternotomy. No technical problems were encountered through this approach, which provided maximum benefit with one operation In conclusions, median sternotomy may be appropriate for resection of emphysematous bullae, specially in a severe COPD patient who may be poorly tolerated the superimposed loss of respiratory function due to incisional pain, because median sternotomy permit bilateral exploration, minimal impairment of pulmonary function, simultaneous restoration of pulmonary function, less incisional pain than routine lateral thoracotomy.

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Secure Modulus Data Hiding Scheme

  • Kuo, Wen-Chung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.3
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    • pp.600-612
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    • 2013
  • In 2006, Zhang and Wang proposed a data hiding scheme based on Exploiting Modification Direction (EMD) to increase data hiding capacity. The major benefit of EMD is providing embedding capacity greater than 1 bit per pixel. Since then, many EMD-type data hiding schemes have been proposed. However, a serious disadvantage common to these approaches is that the embedded data is compromised when the embedding function is disclosed. Our proposed secure data hiding scheme remedies this disclosure shortcoming by employing an additional modulus function. The provided security analysis of our scheme demonstrates that attackers cannot get the secret information from the stegoimage even if the embedding function is made public. Furthermore, our proposed scheme also gives a simple solution to the overflow/underflow problem and maintains high embedding capacity and good stegoimage quality.

Reliability-based stochastic finite element using the explicit probability density function

  • Rezan Chobdarian;Azad Yazdani;Hooshang Dabbagh;Mohammad-Rashid Salimi
    • Structural Engineering and Mechanics
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    • v.86 no.3
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    • pp.349-359
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    • 2023
  • This paper presents a technique for determining the optimal number of elements in stochastic finite element analysis based on reliability analysis. Using the change-of-variable perturbation stochastic finite element approach, the probability density function of the dynamic responses of stochastic structures is explicitly determined. This method combines the perturbation stochastic finite element method with the change-of-variable technique into a united model. To further examine the relationships between the random fields, discretization of the random field parameters, such as the variance function and the scale of fluctuation, is also performed. Accordingly, the reliability index is calculated based on the explicit probability density function of responses with Gaussian or non-Gaussian random fields in any number of elements corresponding to the random field discretization. The numerical examples illustrate the effectiveness of the proposed method for a one-dimensional cantilever reinforced concrete column and a two-dimensional steel plate shear wall. The benefit of this method is that the probability density function of responses can be obtained explicitly without the use simulation techniques. Any type of random variable with any statistical distribution can be incorporated into the calculations, regardless of the restrictions imposed by the type of statistical distribution of random variables. Consequently, this method can be utilized as a suitable guideline for the efficient implementation of stochastic finite element analysis of structures, regardless of the statistical distribution of random variables.