• Journal of the Korean Data and Information Science Society
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• v.21 no.6
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• pp.1137-1146
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• 2010

There are a lot of methods to predict the result of a game and many forecasting researches have been studied. Among many methods, if a statistical model including some realistic random variables is used to forecast, more accurate prediction could be expected than any others. In this work, Bradley-Terry model is considered to predict results of 2010 South Africa World Cup games via paired comparison method. This prediction model includes some random variables which affect the results of games. The worth parameters for each country in this model are convergence values obtained by using Newton-Raphson algorithm. With this model, we can forecast top 16 among 32 countries and up to who will win the victory. Final results of 2010 South Africa World Cup games are compared with this prediction and discuss further works.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1997.11a
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• pp.209-214
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• 1997

본 연구에서는 한국어의 정서관련 어휘분석을 통하여 내적체계의 차원을 알아보고자 하였다. 이를 위해, 연구1에서는 내적경험을표현하는 데 자주 쓰이는 어휘들을 자유연상을 통해 100개를 선정하고 유사성과 빈도평가작업을 통해 대표성을 갖는다고 판단되는 어휘22개를 선정하였다. 22개의 쌍별유사성을 7점척도로 평정한 자료를 다차원분석한 결과, 1차원(63%)은 쾌/불쾌, 2차원(25%)은 각성수준으로 해석될 수 있었고, 이는 기존의 차원모형의 주장과 거의 유사한 결과였다. 다른 어휘목록을 사용하였을 때의 결과와 비교하기 위해, 연구 2에서는 표정을 보고 정서를 추론하는 실험을 통해 자주 언급된 단어를 빈도순으로 22개 선정하였다. 이를 이용하여 같은 방법으로 다차원분석한 결과 연구 3에서는 연구 1,2의 어휘목록이 전체 내적체계의 차원 공간에서 차지하는 상대적인 위치를 비교하기 위해, 두 어휘목록을 포함한 83개 내적체계의 단어를 차원평정시켜 분석하였고, 연구결과가 차원모형에서 갖는 시사점이 논의 되었다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.437-440
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• 2000

본 연구에서는 제품 개발과 관련된 시장 환경 요소들을 고려하여 신속한 제품 개발에 관한 의사 결정을 할 수 있는 AHP 모형을 제안하고, 정량화 된 데이터를 이용한 AHP 의사결정 프로세스를 구축하고자 하였다. AHP 모형의 경우 전문가 집단(연구원 집단, 엔지니어 집단, 판매자 집단)별로 의사결정의 차이점을 보여 줌으로서 각각의 시장 상황에 맞는 의사결정을 경영자가 효율적으로 판단할 수 있도록 제시하였으며, 신제품 디자인 선정의 간단한 프로세스를 제시하여 반복적인 생산자의 의사 결정을 합리적이고 신속하게 할 수 있는 방법론을 제시하였다. 프로세스에서는 하위 의사결정 단계에서 가능한 데이터의 정량화를 통해 쌍별 비교 행렬을 만듦으로써, AMP기법의 정확성을 높이고 모델의 민감도 분석이 가능하게 하였다.

• Archives of design research
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• v.17 no.1
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• pp.163-178
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• 2004

In this study, in order to achieve the before-mentioned study purpose, the importance of developing the new product, the relationship with the design, and the design element for developing the new product were considered. In order to extract the importance of the design element which is applied to the development of the new product design, the research model about the induction of the priority was created, the evaluation items were instituted, and the demonstrative research approach was performed in order to recognize the relationship among those elements. Firstly, in the process of selecting the items for the application, 14 evaluation elements which were extracted through the advanced study data were grouped in 4 kinds of dimensions, and the properties which are related with the Digital TV product were composed up of 36 items. Through the factor analysis, by decreasing the detailed standard for the evaluation of 36 items, the parsimony was secured, and the characteristics which the various items contain induced into one factor. Secondly, the detailed factors which were united into one factor went under the paired comparison as one by one through AHP again, and then the importance degree was generated. First of all, as the first stage of AHP, the decision making factors which affect the whole achievement of purpose of the decision making were classified as in a hierarchical style. From these research results, it was known that the functional factor and esthetic factor in the process of designing the new product are the major affecting variables, and it was confirmed that in case of the Digital TV products group, the factors such as the high quality of picture, big screen, user interface, sound, product reliability, style, size, indoor reproduction, and guarantee are the main factors which influence the need of the consumers in purchasing products.

• Korean Journal of Food Science and Technology
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• v.51 no.6
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• pp.537-542
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• 2019

Proteins were isolated from four species of edible insects, Bombyx mori, B; Tenebrio molitor, T; Protaetia brevitarsis, P; and Gryllus bimaculatus, G, and their properties were analyzed and compared with those of whey proteins. The yield of the protein isolated from raw materials was 65.0-75.0%. Among three branched chain amino acids (BCAA), the amounts of valine in all the insects were similar to that of the whey protein. The BCAA content was 16.8 and 16.4% in G and T, respectively. The total polyphenolic content and the antioxidant activity of the insect proteins were significantly higher than those of the whey proteins. Based on the sensory test of the protein powder, the whey protein could be replaced by 25% of the isolated protein from the insects, but the taste and flavor needs to be improved. Although the BCAA content of insect proteins was lower than that of the whey protein (by 73-76%), their application could be useful because of high polyphenolic content and the anti-oxidative activity.

• Korean Journal of Construction Engineering and Management
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• v.7 no.6
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• pp.175-184
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• 2006

This study focused on developing Life Cycle Cost(LCC) analysis model for selecting sludge collectors in wastewater treatment system and applying the model to a case study. Cost items are examined through literature review and historical data of a facility. Analysis period, discount rate, energy cost escalation ratio are assumed to reasonable level. Monetary evaluation is performed using historical data and estimations from vendors. Sensitive analysis is executed using Monte Carlo Simulation for assumed factors. Interviews with operators, vendors, constructors, managers are conducted to define factors which indicates ease of maintenance, ease of delivery, technical performance, efficiency, environmental friendship. Factors are representing technical and social factors. Results from LCC analysis and qualitative analysis are evaluate together with Weighted Matrix Evaluation Methods for optimum alternative of sludge collectors.

• The Korean Journal of Applied Statistics
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• v.36 no.4
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• pp.279-294
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• 2023

It is well known to generate synthetic data sets by the sequential regression multiple imputation (SRMI) method. The R-package synthpop are widely used for generating synthetic data by the SRMI approaches. In this paper, I suggest generating synthetic data based on the probabilistic principal component analysis (PPCA) method. Two simple data sets are used for a simulation study to compare the SRMI and PPCA approaches. Simulation results demonstrate that pairwise coefficients in synthetic data sets by PPCA can be closer to original ones than by SRMI. Furthermore, for the various data types that PPCA applications are well established, such as time series data, the PPCA approach can be extended to generate synthetic data sets.

• The Journal of the Acoustical Society of Korea
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• v.43 no.2
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• pp.200-206
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• 2024

Computing music similarity is an indispensable component in developing music search service. This paper proposes a relevance weight of each chromagram vector for cover song identification in computing a music similarity function in order to boost identification accuracy. We derive a music similarity function using the relevance weight based on the probabilistic relevance model, where higher relevance weights are assigned to less frequently-occurring discriminant chromagram vectors while lower weights to more frequently-occurring ones. Experimental results performed on two cover music datasets show that the proposed music similarity improves the cover song identification performance.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.2A
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• pp.55-62
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• 2003

This paper proposes an efficient and differentiated MAC scheduling algorithm for Bluetooth systems. The proposed algorithm guarantees QoS (Quality of Service) requirement of each master-slave pair or application. Conventional MAC scheduling algorithms for Bluetooth take priority of each pair into consideration and demonstrate relatively reasonable performance. However, their performances may depend on traffic characteristic, or they are limited by overheads for signaling. In this paper, we propose a new MAC scheduling algorithm superior to the conventional algorithms from the viewpoints of throughput, delay, and supporting QoS. Our proposed algorithm is evaluated via computer simulations under various environments and compared with the conventional scheduling algorithms. Simulation results indicate that the proposed algorithm shows better performance than the existing algorithms, and can support the QoS demand of each pair.

• Phonetics and Speech Sciences
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• v.11 no.4
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• pp.19-33
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• 2019

This paper examines the perception of Korean phonemes by Egyptian learners of Korean and presents the learnability gradient of Korean consonants and vowels through High Variability Phonetic Training (HVPT). 50 Egyptian learners of Korean (27 low proficiency learners and 23 high proficiency learners) participated in 10 sessions of HVPT for Korean vowels, word initial and final consonants. Participants were tested on their identification ability of Korean vowels, word initial consonants, and syllable codas before and after the training. The results showed that both low and high proficiency groups did benefit from the training. Low proficiency learners showed a higher improvement rate than high proficiency learners. Based on the HVPT results, a learnability gradient was established to give insights into priorities in teaching Korean sounds to Egyptian learners.