• Korean Management Science Review
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• v.24 no.2
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• pp.1-18
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• 2007

This paper presents a consolidated patent index to measure national technology innovation and science technology activation, as well as index for the main constituent such as corporation, research organization by comprehensive analysis of existing patent index. It is classified by macroscopic index and analytical index in the consolidated patent index, in which macroscopic index is to present a degree of innovation in national scientific innovation and is divided into the Consolidated Patent Index and Index for comparison between countries. The analytical index basically designed to measure R&D activity by the main constituent is divided to present by quantitative index utilizing bibliographical data in patent and other technical publication related therein, and qualitative index for analysis of bibliographical data. In this paper, the Consolidated Patent Index is presented by adding Creation Index representing for patent by developing excellent technology, Evaluation Index representing valuable technology thereof, and Utility Index representing applicability diffused.

• Environmental and Resource Economics Review
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• v.10 no.3
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• pp.345-366
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• 2001

Evaluating environmental impacts of regional development projects has critical importance in environmental management aspect. This paper uses multi-attribute utility theory as a basis for obtaining a value index to assess the environmental impacts and applies the theory to a specific Korean case study. To structure and quantify basic values for the assessment, we elicited important attributes, then refined and structured them into a hierarchy. An environmental multi-attribute index is constructed as a multi-attribute utility function, based on value judgments provided by a group of technical experts, policy makers, and a decision-maker at Korean Ministry of Environment. The implications of the results are also discussed. We found that the work and results can provide valuable insights for assessment of environmental consequences.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2001.05a
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• pp.389-408
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• 2001

Evaluating the results of National Nuclear R&D projects has critical importance in nuclear management aspect. This paper uses multi-attribute utility theory as a basis for obtaining a value Index to assess the results of nuclear R&D projects and applies the theory to a specific Korean case study. To structure and quantify basic values for the . evaluation, we elicited important attributes, then refined and structured them into a hierarchy. A multi-attribute index is constructed as a multi-attribute utility function, based on value judgments provided by a group of technical experts, policy makers, and decision-makers. The implications of the results are also discussed. We found that the work and results can provide valuable insights for assessment of nuclear R&D consequences.

• Journal of Korean Institute of Industrial Engineers
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• v.28 no.1
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• pp.112-127
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• 2002

A useful pattern is a pattern that contributes much to learning. For a classification problem those patterns near the class boundary surfaces carry more information to the classifier. For a regression problem the ones near the estimated surface carry more information. In both cases, the usefulness is defined only for those patterns either without error or with negligible error. Using only the useful patterns gives several benefits. First, computational complexity in memory and time for learning is decreased. Second, overfitting is avoided even when the learner is over-sized. Third, learning results in more stable learners. In this paper, we propose a pattern 'utility index' that measures the utility of an individual pattern. The utility index is based on the bias and variance of a pattern trained by a network ensemble. In classification, the pattern with a low bias and a high variance gets a high score. In regression, on the other hand, the one with a low bias and a low variance gets a high score. Based on the distribution of the utility index, the original training set is divided into a high-score group and a low-score group. Only the high-score group is then used for training. The proposed method is tested on synthetic and real-world benchmark datasets. The proposed approach gives a better or at least similar performance.

• Korean Management Science Review
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• v.30 no.1
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• pp.167-181
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• 2013

We investigate the dynamic asset allocation problem under inflation risk when the wealth of an investor is constrained with minimum requirements. To capture the investor's risk preference, the CRRA utility function is considered and he maximizes his expected utility at predetermined date of the refund by participation in the financial market. The financial market is supposed to consist of three kinds of financial instruments which are a risk free asset, a risky asset, and an index bond. The role of an index bond is managing inflation risk represented by price process. The optimal wealth and the optimal asset allocation are derived explicitly by using the method to get the European call option pricing formula. From the numerical results, it is confirmed that the investments on index bond is high when the investor's wealth level is low. However, as his wealth increases, the investments on index bond decreases and he invests on risky asset more. Furthermore, the minimum wealth constraint induces lower investment on risky asset but the effect of the constraints is reduced as the wealth level increases.

• Journal of Electrical Engineering and Technology
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• v.1 no.2
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• pp.192-199
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• 2006

This paper presents an improved anti-islanding algorithm for utility interconnection of multiple distributed fuel cell powered generations (DFPGs). A cross-correlation method is proposed and implemented in conjunction with the anti-islanding algorithm developed in the previous work [I]. While the power control algorithm continuously perturbs $({\pm}5%)$ the reactive power supplied by the DFPG, the proposed algorithm calculates the cross-correlation index of a rate of change of the frequency deviation with respect to $({\pm}5%)$ the reactive power to confirm islanding. If this index is above 50%, the algorithm further initiates $({\pm}10%)$ the reactive power perturbation and continues to calculate the correlation index. If the index exceeds 80%, the occurrence of islanding can be confirmed. The proposed method is robust and capable of detecting the occurrence of islanding in the presence of several DFPGs, which are independently operating. Viability of the cross-correlation method is verified by the simulation. Experimental results are presented to support the findings of the proposed method.

• International Journal of Knowledge Content Development & Technology
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• v.9 no.2
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• pp.65-89
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• 2019

This study has the aim of developing an evaluation index that can help evaluate the reliability of the information resources of institutions retaining humanities assets for the purposes of laying out the foundation for providing one-stop portal service for humanities assets. To this end, the evaluation index was derived through the analysis of previous research, case studies, and interviews with experts, the derived evaluation index was then applied to the humanities assets retaining institutions to verify the utility. The institutional information resources' reliability evaluation index consisted of the two dimensions of the institutions' own reliability evaluation index. The institution provided a service and system evaluation index. The institutions' own reliability evaluation index consisted of 25 points for institutional authority, 25 points for data collection and construction, 30 points for data provision, and 20 points for appropriateness of data, for a total of 100 points, respectively. The institution provided service and system evaluation indexes consisting of 25 points for information quality, 15 points for appropriateness (decency), 15 points for accessibility, 20 points for tangibility, 15 points for form, and 10 points for cooperation, for the total of 100 points, respectively. The derived evaluation index was used to evaluate the utility of 6 institutions representing humanities assets through application. Consequently, the reliability of the information resources retained by the Research Information Service System (RISS) of the Korea Education & Research Information Service (KERIS) turned out to be the highest.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.9 no.2
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• pp.190-197
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• 1998

Objectives：This study was conducted to investigate the diagnostic utility of the Rorschach schizophrenia/depression/coping deficite index in child-adolescent parent groups(schizophrenia, depression,depressive conduct disorder). Methods：Three child-adolescent parent groups(schizophrenia(18), depression(20), depressive conduct disorder(19)) were individyally assessed using the Rorschach test and schizophrenia/depression/coping deficite index scores were analyzed. Results：The results showed significant difference among three groups on only SCZI and significantly higher SCZI score of schizophrenia group than other two groups. When the critical value of SCZI was 4, diagnostic hit rate was 96.5%, and when the critical value of DEPI was 3, diagnostic hit rate was 57.9%, and when the critical value of CDI was 4, diagnostic hit rate was 66.6%.

• Environmental and Resource Economics Review
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• v.12 no.3
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• pp.487-513
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• 2003

Currently, development of environmental index has been an increasingly important issue to achieve sustainable development, providing critical information to policy-makers. In particular, marine environmental composite index for Korea is widely required to establish. This paper constructs a marine environmental composite index using the OECD pressure-state-response (PSR) framework and employing multi-attribute utility theory (MAUT). The PSR framework links human activities as a pressure to environmental state and policy response. Weights are calculated by the MAUT technique. The paper provides annual pressure, state, response indices, and state index by sea area from 1991 to 2001 in Korea. The implications of the results and application plan of the index are also discussed.

• Journal of The Korean Society of Emergency Medicine
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• v.29 no.6
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• pp.616-623
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• 2018

Objective: The shock index (SI), as a trauma triage tool, is a capable clinical indicator of hemodynamic instability and hypovolemic shock, but the conception of SI is contradictory to shock. The reverse shock index (RSI) was introduced recently, but its utility has not been sufficiently proven. Methods: This study examined the RSI utility by evaluating the procedures performed at an emergency department (ED) and the associated outcomes when the RSI is used alone or in combination with the Korean Triage and Acuity Scale (KTAS). This was a retrospective study conducted by including data of 4,789 adult trauma patients for a year. The clinical variables, procedures performed on patients, and outcomes were investigated. The median RSI was 0.9 in the RSI<1 group. Results: Patients in the RSI<1 group had a higher odds of requiring procedures at the ED and for experiencing worse outcomes: intubation (odds ratio [OR], 5.4; 95% confidence interval [CI], 2.3-13.1; P<0.001), chest tube insertion (OR, 6.5; 95% CI, 0.4-111.84; P<0.001), use of emergency drugs (OR, 3.6; 95% CI, 1.5-8.5; P<0.001), circulatory support (OR, 5.4; 95% CI, 2.3-12.9; P<0.001), intensive care unit admission (OR, 3.5; 95% CI, 1.8-6.8; P<0.001), and mortality during the ED stay (OR, 20.4; 95% CI, 5.5-75.7; P<0.001). In the group with KTAS 1-3, trends similar to those in the RSI<1 group were observed. Patients with RSI<1 had more severe injuries and poorer outcomes than those with $RSI{\geq}1$, regardless of whether the RSI was used alone or in combination with KTAS. Conclusion: RSI can provide an appropriate triage with concurrent KTAS use.