• Title/Summary/Keyword: Maximization

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A Study on the Power Interconnection in the Northeast Asian Region (동북아 에너지협력을 위한 전력계통 연구 : 러시아와의 전력계통 연계를 중심으로)

  • Kim, Hyun Jae;Roh, Dong Seok;Jo, Sung Han
    • Environmental and Resource Economics Review
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    • v.17 no.3
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    • pp.167-199
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    • 2008
  • There are many successful cases in power interconnection among European and South American countries. However, that is not the case in Northeast Asian countries. Even though there will be a considerable benefit in power interconnection in Northeast Asian countries, there will be some difficulties due to various interest relationship and constraints among countries in Northeast Asia. GTMax(Generation and Transmission Maximization) Program is a very useful tool to analyze competitive electricity market and power interconnection developed by Argonne National Laboratory under the Department of Energy in the USA. This study tried to verify applicability and usefulness by GTMax model to domestic electric power system and power transfer from Russia Far East by power interconnection. When the power by importing from Russia is 2,000MW(around 2% of domestic installed capacity in 2017), there is no impact on domestic electricity market because of small power transfer. The power by importing should be large enough for achieving greater cost reduction by power interconnection. Besides, it would be better to supply power to Kyung-In region directly in reducing overall cost when the power by importing from Russia are sold at low price. In the case of interconnecting Young-Dong region, if it is not possible to upgrade transmission line with power transfer capabilities between Young-Dong and Kyung-In region, then the power by importing from Russia can replace the power produced in Jung-Bu region and the relative benefit of importing power can be reduced.

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The Dynamic Optimal Fisheries Management for Spanish Mackerel (삼치어종의 동태적 최적어업관리)

  • Cho, Hoonseok;Nam, Jongoh
    • Environmental and Resource Economics Review
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    • v.29 no.3
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    • pp.363-388
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    • 2020
  • The purposes of this study are to not only estimate optimal harvests and efforts using the surplus production methods for Spanish mackerel caught by multiple fishing gears, but provide dynamic optimal fisheries management for these gears using the current value Hamiltonian method. To achieve the above purposes this study uses several models such as Gavaris's general linear model for standardizing fishing efforts, surplus production method for estimating biological and technological coefficients, current value Hamiltonian method for estimating dynamic optimal harvest and efforts, and sensitivity analysis for diagnosing economic influences of these fisheries. As a result, this study showed that Spanish mackerel was overfished by multiple fishing gears based on surplus production method and the current value Hamiltonian method. Also, this study found that when the price and cost proportionally changed, the optimal harvest and fishing effort sensitively responded to the stock level of Spanish mackerel. Next, this study suggested that the multiple fishing gears for Spanish mackerel should reduce unnecessary costs such as operating time or inefficient fuel consumption. Finally, this study provided reasons Spanish mackerel should be included in the TAC system in a view of profit maximization based on sustainable use of the Spanish mackerel.

Comparison of Compton Image Reconstruction Algorithms for Estimation of Internal Radioactivity Distribution in Concrete Waste During Decommissioning of Nuclear Power Plant (원전 해체 시 방사성 콘크리트 폐기물 내부 방사능 분포 예측을 위한 컴프턴 영상 재구성 방법의 비교)

  • Lee, Tae-Woong;Jo, Seong-Min;Yoon, Chang-Yeon;Kim, Nak-Jeom
    • Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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    • v.18 no.2
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    • pp.217-225
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    • 2020
  • Concrete waste accounts for approximately 70~80% of the total waste generated during the decommissioning of nuclear power plants (NPPs). Based upon the concentration of each radionuclide, the concrete waste from the decommissioning can be used in the determination of the clearance threshold used to classify waste as radioactive. To reduce the cost of radioactive concrete waste disposal, it is important to perform decontamination before self-disposal or limited recycling. Therefore, it is necessary to estimate the internal radioactivity distribution of radioactive concrete waste to ensure effective decontamination. In this study, the performance metrics of various Compton reconstruction algorithms were compared in order to identify the best strategy to estimate the internal radioactivity distribution in concrete waste during the decommissioning of NPPs. Four reconstruction algorithms, namely, simple back-projection, filtered back-projection, maximum likelihood expectation maximization (MLEM), and energy-deconvolution MLEM (E-MLEM) were used as Compton reconstruction algorithms. Subsequently, the results obtained by using these various reconstruction algorithms were compared with one another and evaluated, using quantitative evaluation methods. The MLEM and E-MLEM reconstruction algorithms exhibited the best performance in maintaining a high image resolution and signal-to-noise ratio (SNR), respectively. The results of this study demonstrate the feasibility of using Compton images in the estimation of the internal radioactive distribution of concrete during the decommissioning of NPPs.

Maximization of The Number of Follicular Oocytes Recovered from The Bovine Ovaries (소 난소로부터 회수난포란수의 극대화 방법)

  • 유형진;최승철;이상호
    • Korean Journal of Animal Reproduction
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    • v.17 no.2
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    • pp.149-157
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    • 1993
  • A new technique was established to maximize the numbers of follicular oocytes recovered from the ovaries obtained at the slaughter house. And their further developmental capacity was demonstrated. There recovery techniques were used; aspiration (ASP, control), slicing (SLC) and slicing combining aspiration (ASP+SLC). Recovered oocytes were cultured in TCM 199+15% FCS+gonadotrophins in an atmosphere of 5% CO$_2$ in air at 39$^{\circ}C$ for 24 h. The nuclear maturation was detemined with chromo-some configuration by rapid staining. And cytoplasmic maturation was examined by the formation of female pronuclei with parthenogenetic activation of the matured oocyte after 18 h of co-culture with granulosa cell monolayer. Total 1,641 bovine follicular oocytes recovered from 245 ovaries. The number of oocytcs per ovary was 1.87 in ASP, 11.05 in SLC and 7.88 in ASP+SLC, respectively. SLC would yield 5.9 folds increase, compared with ASP. The rate of maturation were 92.9% in ASP, 79.1% in SLC and 71.7% in ASP+SLC, respectively. Although the maturation rate in ASP was the highest, metaphase II oocytes per ovary in SLC was 5 times higher than that of ASP. The rates of pronuclei formation upon ethanol activation were 75% in ASP, 67% in SLC and 62.5% in ASP+SLC, respectively. The results demonstrate that it should be possible to maximize the number of the follicular oocyte from the ovary for mass production of bovine embryos. Thus the established technique may provide efficient supply of bovine embryos for biochemical and molecular study of early bovine embryos.

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Study on the Selection Method of the Focused Supporting Industries for the Maximization of SMEs' Technological Innovation (중소기업 기술혁신 극대화를 위한 중점지원분야 선정방안 연구)

  • Yoo, Hyoung Sun;Kim, Ji Hui;Jun, Seung-Pyo;Seo, Jinny;Yoo, Jae Young
    • Journal of Korea Technology Innovation Society
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    • v.16 no.1
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    • pp.41-62
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    • 2013
  • In order to facilitate the R&D of SMEs and foster innovative SMEs, the Small and Medium Business Administration is funding the SMEs in the focused supporting industries which are selected by a primary consideration of the political conformity. The correlations among the distribution of engaged SMEs, the distribution of SMEs which applied the fund, and the distribution of SMEs funded in the industries are analysed, in order to realize the effectiveness of the top-down method for selecting the focused supporting industries. As a result, there was a large deviation of both the number of the engaged SMEs and the number of the applied SMEs in the each industry, which means that the selected industries did not accurately reflect the needs for the technology development of SMEs. In addition, the distribution of the applied SMEs was strongly depended on the distribution of the engaged SMEs, which shows the trend that SMEs are trying to make R&D plans in their current industry rather than following the political drive. Moreover, because the distribution of the funded SMEs is strongly correlated with that of the applied SMEs, one could know that the selected industries were neither fostered strategically nor evenly but the fund was distributed simply according to the distribution of the applied SMEs. In this study, in order to complement the limitations of the top-down method, the bottom-up method which primarily consider the needs for the technology development of SMEs was suggested. It is desirable to consider in the order of the needs and the capabilities of SMEs, the technological perspective and marketability of the industry, and the political importance in the bottom-up method, and it is expected that the method could be flexibly used in the planning of the various programs.

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A Study on Airlines' Choice Behavior of Aircraft Size (항공사의 항공기 용량 선정 행위에 관한 연구)

  • Kim, Bong-Gyun;Yoo, Kwang-Eui
    • Journal of Advanced Navigation Technology
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    • v.4 no.2
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    • pp.114-131
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    • 2000
  • An airline should consider the number of seats or size of aircraft, when it composes fleet or selects a type of aircraft for some routes. There are two major factors considered for this choice problem under the assumption that the objectives of an airline is a profit maximization: the operating cost and revenue from the aircraft operated. This research tries to solve the problem of aircraft size selection by airline. The study applies four steps to get optimal choice of aircraft size: (1) cost analysis for the relationship between airline operation cost and aircraft size: (2) market share and revenue analysis: (3) flight segment-level analysis, based on the derived cost, demand and revenue functions: and (4) network-level analysis to see how airlines make choice of aircraft size systematically at a network level. An airline can accommodate the increasing air travel demand by either increasing operation frequency, or increasing aircraft size that is represented by seat capacity, or both. Airport runway capacity and productivity depend on the size of aircraft used at airport. This paper presents the understanding of how airlines make decisions on the size of aircraft to operate, how they will adjust their choices when airport capacity is constrained, and how public regulation such as policy for landing fees could influence airlines' aircraft choice.

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A Maximum Mechanism of Data Transfer Rate using Parallel Transmission Technology on High Performance Network (고성능 네트워크에서 병렬 전송 기술을 이용한 전송률 극대화 메커니즘)

  • Kim, Young-Shin;Huh, Eui-Nam
    • Journal of KIISE:Computer Systems and Theory
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    • v.34 no.9
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    • pp.425-434
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    • 2007
  • Even though Internet backbone speeds have increased in the last few years due to projects like Internet 2 and NGI, many high performance distributed applications are able to achieve only a small fraction of the available bandwidth. The cause of such problem is due to a character of TCP/IP. The primary goal of this protocol is reliable data transmission. Therefore high speed data transmission didn't be considered when TCP/IP is designed. Hence several researchers have been studied in order to solve the problem of TCP/IP. One of these research results, parallel transfer technique, solves this problem to use parallel TCP connections on application level. Additionally, this technique is compatibility. Recently, these researchers have been studied a mechanism to decide the number of parallel TCP connections. However, some researchers reported the number of parallel TCP connection base on only empirical results. Although hardware performance of host affects transmission rate, the hardware performance didn't be considered in their works. Hence, we collect all data related to transmission rate, such as hardware state information (cpu utilization, interrupt, context switch). Then, we analyzed collected data. And, we suggest a new mechanism determining number of parallel TCP connections for maximization of performance based on our analysis.

Existence of an Industrial Optimal Level of Cash Holdings for KOSPI-Listed Firms in the Korean Capital Market (국내 유가증권 시장 상장기업들의 산업별 최적 현금유동성 수준 존재에 대한 실증분석)

  • Kim, Hanjoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.2
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    • pp.149-157
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    • 2017
  • This study investigated one of the contemporary financial issues that is still being debated among governmental policy makers, corporate managers, and investors in the domestic capital market. We attempted to identify the most optimal level of cash holdings for firms during the most updated fiscal years (from 2011 to 2015). The study utilized empirical methodologies, such as ANCOVA and RANCOVA, with respect to the 'inter-' and 'intra-industry' analyses for KOSPI-listed firms. Regarding the first hypothesis testing for inter-industry influence, we revealed with statistical significance that there were differences; however, there were only 3 pronounced industries among the 25 industries sampled in this study. Regarding the second hypothesis, only a few (i.e. two) industries showed no statistically significant intra-industry influence. Based on our results, most KOSPI-listed firms still seem to be searching for their optimal levels of cash reserves. Hence, we can anticipate that the value maximization as a corporate goal can be achieved after adjusting the current levels of their cash holdings according to the optimal points.

Preliminary clinical outcome of novel strategy for the maximization of cumulative pregnancy rates per retrieval in normal responders

  • Joo, Jong-Kil;Choi, Jong-Ryeol;Son, Jung-Bin;Ko, Gyoung-Rae;Lee, Kyu-Sup
    • Clinical and Experimental Reproductive Medicine
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    • v.39 no.1
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    • pp.33-39
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    • 2012
  • Objective: We devised a novel strategy, a GnRH antagonist protocol with a GnRH agonist trigger followed by frozen-thawed blastocyst transfers with long zona dissection (LZD). The purpose of this study was to investigate the clinical outcomes of this new strategy according to age. Methods: Ninety women aged less than 35 (group A) and 32 women aged 35 to 39 (group B) underwent the GnRH antagonist protocol with a GnRH agonist trigger in order to obtain many oocytes and prevent early-onset ovarian hyperstimulation syndrome (OHSS). All oocytes were cultured to the blastocyst stage and all blastocysts grade 3BB or better were cryopreserved. Embryo transfers were only performed in freeze-thaw cycles to prevent late-onset OHSS and to overcome embryo-endometrium dyssynchrony. LZD was performed just after thawing to improve hatching and implantation rates. Results: The average numbers of retrieved oocytes and blastocysts grade 3BB or better were $12.8{\pm}5.5$ and $4.4{\pm}2.6$ in group A and $10.9{\pm}7.4$ and $2.5{\pm}2.2$ in group B, respectively, and OHSS did not occur in any of the women. Implantation rates were 46.7% in group A and 39.3% in group B. Cumulative clinical pregnancy rates per retrieval were 77.8% in group A and 62.5% in group B. Cumulative ongoing pregnancy rates per retrieval were 71.1% in group A and 53.1% in group B. Conclusion: GnRH antagonist protocol with GnRH agonist trigger followed by frozen-thawed blastocyst transfers with LZD can generate many blastocysts without OHSS and maximize cumulative pregnancy rates per retrieval. This strategy is more effective in young women aged less than 35 than in women aged 35 to 39.

A Critical Review on Behavioral Economics with a Focus on Prospect Theory and EBA Model (프로스펙트 이론과 속성별 제거모형을 중심으로 한 행동경제학에 대한 비판적 고찰)

  • Won, Jee-Sung
    • Journal of Distribution Science
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    • v.11 no.5
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    • pp.63-76
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    • 2013
  • Purpose - For the past several decades, behavioral economics or behavioral decision theory has undergone rapid development. This study provides a critical review of the development of behavioral economics with a focus on what are deemed to be core theories in the field. Starting from the utility function proposed by Daniel Bernoulli in the 18th century, the development history of utility functions until the emergence of the prospect theory is thoroughly reviewed. Some of the experimental results violating the traditionally assumed utility function and supporting the prospect theory value function are summarized. The most representative principles of rational choice are transitivity, independence from irrelevant alternatives (IIA), and regularity. The development of behavioral economics has been triggered by finding counter-examples to these principles. Some of the choice behaviors discussed in this study as counter-examples to the traditional theories of rational choice are the St. Petersburg paradox; the Allais paradox; gambling behavior; and the various context effects including the similarity effect, attraction effect, and the compromise effect. The Elimination-by-Aspects (EBA) model, which was proposed as an explanation for the similarity effect, is discussed in detail as well. Based on the literature review and further analysis, this study summarizes the relationship between the context effects, prospect theory, and EBA model. Research design, data, and methodology - This study provides an extensive literature review on several important theories in the field of behavioral decision theory and adds some critical comments to the theories and the relationships among them. This study first reviews the development of utility functions. Daniel Bernoulli introduced the concept of utility function to solve the St. Petersburg paradox. In the mid-20th century, Herbert Simon proposed the "satisficing" heuristic and presented a value function with a shape different from traditional utility functions. This study highlights the strengths and weaknesses of several utility functions proposed until the emergence of the prospect theory value function. Results - This study posits that prospect theory and EBA model are the two most important theories in the field of behavioral decision theory. They can explain various choice behaviors that traditional utility maximization analysis has been unable to. The application of these models to various fields is further increasing nowadays. This study explains how prospect theory and the EBA model can be used to explain the context effects. Conclusions - The traditional economic theory relies on a single variable called "utility" in explaining consumer choice. However, this study argues that, in investigating consumer choice, several other variables should also be considered. These are the similarity among alternatives, an alternative's prototypicality within the category, the dominance relationship between alternatives, and the reference point in evaluating alternatives. Due to the development of behavioral economics, we are now closer to a more complete understanding of consumer choice behavior than in the past when we had only a single tool called utility.

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