• The Safety technology
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• no.90
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• pp.48-49
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• 2005

• Journal of the Korea Safety Management & Science
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• v.12 no.1
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• pp.51-57
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• 2010

Cycling that transform human energy into mechanical energy is one of the man-machine systems out of sports fields. Benchmarking means "improving ourselves by learning from others', therefore benchmarking toward dominant cyclist is necessary on field. The goals of this study were to provide important factors on multi-disciplines (kinematics, physiology, power, psychology) for a tailored-training program that is suitable to individual characteristics. Two cyclists participated in this study and gave consent to the experimental procedure. One was dominant cyclist (years: 21 yrs, height: 177 cm, mass: 70 kg), and the other was non-dominant cyclist (years: 21, height: 176, mass: 70). Kinematic data were recorded using six infrared cameras (240Hz) and QTM (software). Physiological data (VO2max, AT) were acquired according to graded exercising test with cycle ergometer and power with Wingate test used by Bar-Or et. al (1977) and to evaluate muscle function with Cybex. Psychological data were collected with competitive state anxiety inventory (CSAI-2) that was devised by Martens et. al (1990) and athletes' self-management questionnaire (ASMQ) of Huh (2003). It appears that the dominant's CV of ankle joint angle was higher than non-dominant's CV and dominant's pedaling pattern was consistent in biomechanics domain, which the dominant's values for all factors ware higher than non-dominant's values in physical, and physiological domain, and their values between cognitive anxiety and somatic anxiety were contrary to each other in psychology. Further research on multi-disciplines may lead to the development of tailored-optimal training programs applicable with key factors to enhance athletic performance by means of research including athlete, coach and parents.

• Korean Journal of Construction Engineering and Management
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• v.11 no.6
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• pp.24-34
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• 2010

Benchmarking is an effective tool supporting improvement of corporate competitiveness and development of management strategy, however, its effectiveness may be compromised if its target and approach are not appropriate. Notably, the construction industry of Korea is unique in that it has a number of competitors sharing the same category and is significantly exposed to changes in external environment in terms of legal, regulatory and policy frameworks. Such characteristics make target corporate category rather than single company more suitable as benchmarking target and necessitate analysis of external environment. This study intends to analyze the characteristics of construction industry in Korea and conditions of domestic companies in order to propose a benchmarking process for construction industry differentiated from conventional ones.학교 건축공학과, 산학협력기술연구원;경희대학교 대학원;경희대학교 대학원;

• Korean Journal of Construction Engineering and Management
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• v.10 no.3
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• pp.122-129
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• 2009

Strategic planning is an essential function of senior management in any business firm. Planning involves the firm's behavior in an competitive market and adaptation of the company's resources towards the selected market strategy. This study presents a methodological procedure for strategic planning in global top-tier construction firms. This procedure consists of the following stages. First, analyzed growth of revenue in which weight of total construction firms' revenue shown in Global Top 225 Contractors(ENR). Second, analyzed specialty of construction products. The products are General Building, Power, Water Supply, Industrial/Petroleum Process, and Transportation. Third, analyzed business the portfolio plan. The business portfolio plan includes both local/overseas market and specification/diversification of construction products. It affects the subsequent choice of a benchmarking for development of each construction company. The choice of the benchmarking firm, among several available alternatives, should follow a careful analysis of the characteristics and benefits inherent in the implementation of each.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.36 no.2
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• pp.8-16
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• 2013

In this paper, we proposed a new method for the determination of strategies that are required in a continuous optimization algorithm based on the fictitious play theory. In order to apply the fictitious play theory to continuous optimization problems, it is necessary to express continuous values of a variable in terms of discrete strategies. In this paper, we proposed a method in which all strategies contain an equal number of selected real values that are sorted in their magnitudes. For comparative analysis of the characteristics and performance of the proposed method of representing strategies with respect to the conventional method, we applied the method to the two types of benchmarking functions: separable and inseparable functions. From the experimental results, we can infer that, in the case of the separable functions, the proposed method not only outperforms but is more stable. In the case of inseparable functions, on the contrary, the performance of the optimization depends on the benchmarking functions. In particular, there is a rather strong correlation between the performance and stability regardless of the benchmarking functions.

• The Korean Journal of Applied Statistics
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• v.22 no.1
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• pp.75-88
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• 2009

Gross Regional Domestic Product (GRDP) is regarded as an essential information to understand regional economy. However, GRDP is hardly used for establishment of regional economic plan and related statistical research due to its late and yearly publication. Therefore, it is necessary to estimate quarterly GRDP to grasp the current regional economy faster In this study, considering the comovement between GDP and GRDP for the same industry, reference series are made. Quarterly GRDP is estimated the following two steps; First, preliminary quarterly GRDP is estimated using Chow-Lin's method based on the reference series to eliminate temporal discrepancies. Second, preliminary quarterly GRDP is adjusted using Denton's multivariate method to eliminate contemporaneous discrepancies.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.51
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• pp.391-414
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• 2011

The advance into the overseas markets of domestic enterprises has been increasing continuously. Brazil, for domestic companies, has been emerging as the huge potential country in the development of markets and resources. According to the reports from World Bank and Brazil government, one of the biggest difficulties of businesses in Brazil for foreign enterprises is the lack of Transportation Infrastructure and high logistics costs. However, until now, there is no professional institute and systematic DB in Korea to provide the overall information of Brazil logistics or details oriented to enterprises' needs; furthermore, enterprises have the difficulties to gather or investigation the logistics information by themselves due to the constraints of language and budget. For these reasons, with the latest data, this study reviews the overall information of Brazil logistics environment and provides the status of Brazil logistics that is necessary for enterprises to advance into Brazil market. Also, this explains the reason for why Brazil has such a high logistics cost with the objective data. In addition, this paper carried out the benchmarking case study as an example of logistics strategy and plan in Brazil. This study can contribute to serve as useful information for domestic enterprises which planning or doing business in Brazil.

• Proceedings of the SAREK Conference
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• 2008.11a
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• pp.440-445
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• 2008

In this paper, new methodology is proposed to estimate the cooling load using areas of building group and predicted weather data. Only three parameters such as maximum, minimum temperature and building area are necessary to obtain hourly distribution of cooling load for the next day. The maximum and minimum temperature that are used for input parameters can be obtained from forecasted weather data. The areas of building group are used for setting several parameters that are used for estimate cooling loads. Benchmarking building(research building) is selected to validate the performance of the proposed method, and the estimated cooling loads in hourly bases are calculated and compared with the measured data for benchmarking building. The estimated results show fairly good agreement with the measured data for benchmarking building.

• STI Policy Review
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• v.8 no.2
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• pp.49-74
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• 2017

What are some of the explanations for cross-national diversity of foresight performance among technological followers? Why are some countries more successful than others in learning how to develop national innovation system foresight? This paper argues that the answers are linked to organizational capacities at three different levels: governmental, policy network and social learning. To corroborate this argument, the paper chose Iran and Korea as benchmarking partners, and attempts to find out what makes Iran a slow learner in building innovation system foresight. The conceptual model is an improved model of Saritas's, by integrating Borras' and Andersen's conceptions and classifications. The data are collected from comprehensive interviews in both countries and second-hand data of international indexes. The paper, finally, concludes that it is the weakness of analytical-systemic capacity that impedes and delays the emergence of systemic foresight in Iran, and that this weakness stems from the adverse impacts of the dominant institutions, surrounding the innovation system. The final point is that it is not sufficient for Iran to learn the methods and techniques of foresight from Korea. It should learn how to open its macro-policy towards the global market and design appropriate industrial strategy in a coherent policy-strategy portfolio.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.6_2
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• pp.1017-1027
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• 2022

Development of social overhead capital (SOC) requires huge national finance, and performance issues such as cost-efficiency, safety, and environment have been constantly raised. However, currently each construction client has limited access to its own projects' performance without analytic methodology for industry-level comparisons and benchmarking for improvement. To overcome this problem, this study proposes a comprehensive performance analysis framework for post-evaluation of large-scale construction projects. To this end, this study performed a case study of advanced countries (the U.S., the U.K. and Japan) and consultation with related experts to develop a tailored performance analysis framework for the Post- Construction Evaluation and Management system in Korea. The developed framework covers three categories (project performance, project efficiency, and ripple effect), nine areas (cost, schedule, change, safety, quality, demand, benefit-cost ratio, civil complaint, and defect), and 31 detailed metrics. Using industry-level project performance database and statistical techniques, the proposed framework can be used not only to diagnose excellent and unsatisfactory performance areas for completed construction projects, but also to provide reference data for future similar projects. This study can contribute to the improvement of clients' performance management practices and effectiveness of construction projects.