• Journal of Trauma and Injury
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• v.18 no.2
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• pp.148-154
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• 2005

Purpose: This study was conducted to gather descriptive data on trauma victims and to observe the general demographic characteristics and clinical profile of trauma victims who were admitted to a regional emergency medical center in the west southern Kyungsangnam-do area. Objects & Method: The study population consisted of 1,909 trauma patients who visited the emergency department of Gyeongsang National University Hospital between January 2003 and December 2004. The medical records were reviewed in a retrospective manner. Demographic data, the mechanism of injury, and clinical information were collected by three professional medical affairs recorders and an emergency physician and a Revised Trauma Score (RTS) and an Injury Severity Score (ISS) were calculated for each patient. Collected data were analyzed with SPSS software version 12.0. Results: Male patients outmembered female patients (M:F=2.54:1), and the mean age of the population was $40.5{\pm}21.4$ years. The mean RTS and ISS were $7.45{\pm}1.11$ and $8.40{\pm}7.44$, respectively. The seventies showed the highest ISS($10.94{\pm}8.66$). The most common mechanism of injury was motor-vehicle accidents (45.57%), followed by falls or slips(28.26%), and other blunt injuries(12.68%). The most frequent causes of death was cerebral herniation due to head injury(68.4%) and irreversible shock(26.3%). Conclusion: The present study clarified the demographic and clinical characteristics of trauma patients in the Kyungsangnam-do area. In the future, prospective clinical data collection is needed for a more sophisticated trauma study.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.5
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• pp.841-846
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• 2010

Reliability in electrical power system refers to normal operation for schedule time in some system that action consists. It means that if there is no contingency of electric power supply decrease or load curtailment, reliability of the system is high. In this paper, a method for evaluation of transmission capability is proposed considering reliability standards. Deterministic and probabilistic methods for evaluation of transmission capability has been studied. These researches considered uncertainty of system components or N-1 contingency only. However, the proposed method can inform customers and system operators more suitable transmission capability. Well-being method using state probabilities of system components proves to be a more effective method in this paper comparing with calculation of LOLE(Loss of Load Expectation). The length of calculation is shorter but it can give more practical information to the exact system operators. Well-being method is applied to IEEE-RTS 24bus system to evaluate reliability in case study. The result is compared with a existing way to evaluate reliability with LOLE and it shows that transmission capability connected with adjacent networks. This paper informs system operators and power suppliers of reliable information for operating power system.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.5
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• pp.508-516
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• 1999

This paper presents a method for constructing composite power system effective load duration curves(CMELDC) at load points by Monte Carlo method. The concept of effective load duration curves(ELDC) in power system planning is useful and important in both HLII. CMELDC can be obtained from convolution integral processing of the probability function of unsupplied power and the load duration curve at each load point. This concept is analogy to the ELEC in HLI. And, the reliability indices (LOLP, EDNS) for composite power system are evaluated using CMELDC. Differences in reliability levels between HLI and HLII come from considering with the uncertainty associated with the outages of the transmission system. It is expected that the CMELDC can be applied usefully to areas such as reliability evaluation, probabilistic production cost simulation and analytical outage cost assessment, etc. in HLII, DC load flow and Monte Carlo method are used for this study. The characteristics and effectiveness of thes methodology are illustrated by a case study of the IEEE RTS.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.51 no.1
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• pp.37-44
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• 2002

This Paper suggests reasonable pricing mathod fur Reactive Power in Optimal Power Flow for the system analysis. Under restructuring, not only real power pricing but also reactive power pricing is important for the system analysis and operation. If people just focus on real power pricing, the Generators may no generate reactive power voluntarily, because the Generators may not recover the cost of the reactive power generation. So making a reasonable reactive power pricing is becoming more important than any other time. In this paper, the authors set a Proper Power factor and price the portion of the reactive power that exceeds the power factor using Interior Point Method. By applying this method, the System operator can use this strategy for the analysis of reactive power generation pricing and the Generator can get the motivation to generate reactive power. The author develops fully optimized fast Primal Dual Interior Point Method with sparsity technique and applies this method to Reliability Test System (RTS24) and KEPCO 674 bus system (684 buses. 1279 lines). It shows adaptability and usefulness.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.25 no.4
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• pp.459-466
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• 2014

This paper deals with the method to classify the aircraft target by analyzing its JEM signal. We propose the method to classify the engine model by analyzing JEM spectrum using the harmonic frequency mask generated from the blade information of jet engine. The proposed method does not need the complicated logic algorithm to find the chopping frequency in each rotor stage and the pre-simulated engine spectrum DB used in the previous methods. In addition, we propose the method to estimate the precise spool rate and it reduces the error in estimating the number of blades or in calculating the harmonic frequency of frequency mask.

• Proceedings of the KIEE Conference
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• 2007.11b
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• pp.237-239
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• 2007

This paper focuses on maintenance scheduling using PSO algorithm for power plants from an economic (operating cost) and reliable(variance of operating reserve margin) point of view. We also apply regional reserve margin and transfer capability to maintenance scheduling problem. The proposed method has been applied to IEEE-RTS(1996) with 32-generators and a real -world large scale power system with 291 generators.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.25 no.5
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• pp.403-408
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• 2012

In this paper, we propose useful load flow algorithms called FEDL (fast enhanced decoupled load flow). The proposed load flow method can improve the convergence characteristics particularly when the P-Q coupling becomes significant and the power system operating states deviate from the conditions required for stable convergence of the FDL by reflecting in part the effects of the off-diagonal terms in the Jacobian. In our test with IEEE AEP-30 bus system and RTS-96 73-bus system, it converge even when the fast decoupled load flow (FDL) and its variations keeping load flow matrices constant experience convergence problems. Test results show promising performances of the proposed algorithms in their convergence characteristics both in number of iterations and overall convergence speeds.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.3
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• pp.552-557
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• 2003

This paper presents an algorithm for evaluating power wheeling effects considering contingency using Monte-Carlo simulation. The effects of power wheeling on generating cost, transmission losses, and system security are considered. And, for a specific operating condition, the effects are quantified by the sensitivity of specific quantities of interest with respect to wheeling level. This model is utilized to calculate probability distribution functions of the incremental effects of power wheeling with a Monte-Carlo simulation. The proposed method is applied to IEEE RTS-96 system and the results are presented.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.9
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• pp.1055-1063
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• 1999

This paper present a conceptual possibilistic approach using fuzzy set theory to manage the uncertainties in the given reliability input date of the practical power system. In this paper, an algorithm is introduced to calculate the possibilstic reliability indices according to the degree of uncertainty in the given data. The probability distribution function can be transformed into an appropriate possibilstic representation using the probability-Possibility Consistency principle(PPCP) algorithm. In this the algorithm, the transformation is performation by making a compromise between the transformation consistency and the human updating experience. Fuzzy classifcation theory is applied to reduced the number of load data. The fuzzy classification method determines the closeness of load data points by assigning them to various clusters and then determening the distance between the clusters. The IEEE-RTS with 32-generating units is used to demonstrate the capability of the proposed algorithm.

• Proceedings of the KIEE Conference
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• 1998.07c
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• pp.1033-1035
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• 1998

This paper presents a new analytical method for assessing outage cost of composite power system with considering transmission system uncertainty. Composite power system ELDC(CMELDC) was developed and proposed from reliability evaluation of composite power system in order to analysis the outage cost on HLII. In this study, considering the characteristic of each load point, the CMELDC was used for outage cost assessment and reliability evaluation at each load point. The characteristics and effectiveness of this methodology are illustrated by the case study (IEEE-RTS 24Buses).