• 대한안전경영과학회지
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• 제6권2호
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• pp.167-178
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• 2004

Supply chain management and e-procurement system built in the company, are set goal of internal process improvement. This paper show how SLV(Supplier Lifetime Value) can be used to structure the supplier in automotive part manufacturer, the method of selection is described and a detailed example of how SLV can be used and allocation of order Quantity for the selected suppliers also are provided, and aims at giving a method to realization profitable supplier relation using search for SL V system development which is making corporation with supplier, in the favor of decision supplier.

• 동의신경정신과학회지
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• 제14권1호
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• pp.175-181
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• 2003

A lot of research have been done so far in terms of traffic accident sequela, but most of them have stressed simply on physical treatments, resulting in less attention to the psychological ones. This is a case report of a patient with post-traumatic stress disorder. Although that is simply following in the wake of past therapy, we were experienced an improved case of post-traumatic stress disorder patient treated by herbal medicine, acupuncture, mental therapeutics. This case effectively describes the characteristics of the post-traumatic stress disorder, and it also suggested one approach for the treatment of the disease. This report is for the better understanding of the disease, and also the search for the advanced treatments to it hereafter.

• 한국안전학회지
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• 제7권4호
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• pp.105-114
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• 1992

This paper presents an study on the knowledge based system for diagnosing the fire causes using the Fuzzy Possibility Measure( FPM ) about the electric-fire ignition. The Ignition values needed for causes diagnosis is computed as FPM for electric-fire ignition based on the internal scale technique that assigns numerically the characteristic difference of facts to the-tin-ear scale. For the convinience of inference, ignition sources are classified into seven types : short, ground fault, leakge of electricity, overcurrent, cord junction overheating, bad Insulation and spark. The system for causes diagnosis of electric-fire is composed of Knowledge Acquisition System, Inference Engine and Man-Machine Interface, The diagnosis system is wrritten in an artificial intelligence langusge “PROLOG” which uses depth-first search and backward chaining schemes in reasoning process.

• 한국기계가공학회지
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• 제16권2호
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• pp.94-101
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• 2017

Recently, the small quantity batch production method has come into the spotlight as there are more plastic processing methods. At the same time, the 3D printer market has become globally widespread due to expired 3D printer patents. In particular, the FDM method is widely used for cheap products and materials. However, the FDM scheme is not as good as the injection molding method for quality and strength. This study investigated the effect of the internal filling and strength according to layer thickness to search for the optimum printing of the factors (infill and layer thickness) that determine the strength of the model.

• 동의생리병리학회지
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• 제28권3호
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• pp.263-270
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• 2014

The objective of this study was to investigate the diagnosis and treatment of Raynaud disease such as syndrome differentiation and herbal medicine by reviewing Chinese traditional medicine's journals. The journal search was carried out using China National Knowledge Infrastructure(CNKI) and PubMed from January 2008 to August 2013. Searching key words were the various combination of "Raynaud disease", "traditional chinese medicine", "syndrome differentiation", "herbal medicine". The final selection of 38 studies were selected and summarized by researchers. The syndrome differentiation was classified as yang deficiency and cold syncope, qi stagnation and blood stasis. The most frequently prescribed herbal medication was Dangguisinitang.

• 정보교육학회논문지
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• 제10권1호
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• pp.83-90
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• 2006

정보만들기활동에서 가장 기본적인 능력은 정보를 검색하는 능력이다. 그러나 정보검색방법에 대한 지도에도 불구하고 학생들의 정보만들기 능력은 일정 수준이상을 뛰어넘기 어렵다. 정보만들기 능력 향상을 위해서는 국어 및 사회교과와의 연계교육이 필요하다. 그러므로 본 논문에서는 정보만들기 능력을 신장시키기 위해 국내 외 컴퓨터 교육과정과 연계교과의 내용을 분석하여 정보만들기능력 신장을 위한 학습 요소를 추출하여 정보만들기능력 향상 프로그램을 개발하고 적용하였다.

• Journal of Acupuncture Research
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• 제37권2호
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• pp.69-78
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• 2020

Although there have been studies investigating the clinical effects of warm needling (WN) for specific diseases, a comprehensive review of WN is needed. Four Korean internet databases were used in the review of WN treatment performed in Korea. The search terms used to retrieve articles were "warm needling (in Korean; 온침)," "warm acupuncture," and "warm needle." A total of 29 articles were reviewed. The following aspects of WN were investigated: language and terminology, study design, use of Standards for Reporting Interventions in Clinical Trials of Acupuncture, research ethics, moxibustion types, number of moxa used, moxa combustion time, needle retention time, treatment time and frequency, acupoints, meridians, acupuncture size and depth, disease classification, pattern identification, outcome measures, and adverse effect. More sophisticated and precise studies on WN are required.

• Advances in aircraft and spacecraft science
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• 제4권4호
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• pp.437-448
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• 2017

The problem of flow through the vent is formulated as an unsteady, nonlinear, ordinary differential equation and solved using Runge-Kutta method to obtain pressure inside payload faring. An inverse problem for prediction of the discharge coefficient is presented employing measured internal pressure of the payload fairing during the ascent phase of a satellite launch vehicle. A controlled random search method is used to estimate the discharge coefficient from the measured transient pressure history during the ascent period of the launch vehicle. The algorithm predicts the discharge coefficient stepwise with function of Mach number. The estimated values of the discharge coefficients are in good agreement with differential pressure measured during the flight of typical satellite launch vehicle.

• International journal of advanced smart convergence
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• 제7권2호
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• pp.67-72
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• 2018

On the internal based search, the big data inference, which is failed in the president's election in the United States of America in 2016, is failed, because the prediction method is used on the base of the searching numerical value of a candidate for the presidency. Also the Flu Trend service is opened by the Google in 2008. But the Google was embarrassed for the fame's failure for the killing flu prediction system in 2011 and the prediction of presidential election in 2016. In this paper, using the virtual vote algorithm for virtual election and data mining method, the election prediction algorithm is proposed and unpacked. And also the WEKA DB is unpacked. Especially in this paper, using the K means algorithm and XEDOS tools, the prediction of election results is unpacked efficiently. Also using the analysis of the WEKA DB, the smart election prediction system is proposed in this paper.

• Genomics & Informatics
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• 제4권4호
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• pp.167-169
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• 2006

PABAP (Palindrome Analysis by BLAST Program) is an analysis system that identifies palindromic sequences from a large genome sequence up to several megabases long. It uses NCBI BLAST as a searching engine, and data processing such as alignment filtration and detection of inverted repeats which satisfy user-defined parameters is performed by manipulating data after populating into a MySQL database. PABAP outperforms publicly available palindrome search program in that it can detect large palindrome with internal spacer at a faster speed from bacterial genomes. It is a standalone application and is freely available for noncommercial users.