• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.10
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• pp.1814-1820
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• 2007

As RFID/USN has appeared as one aspect of the latest trend in Convergence rapidly spreading over the society, the use and the applied service of RFID/USN are expected to be diverse. USN begins by the technological means to providing the new type of service, and provides the customers with the factors in various type of its application to satisfy their desire. This thesis suggests a forecast model of the u-Distribution with expecting the new change of the new generation of distribution by using RFID/USN, which is initiatively introduced into this area. For the suggestion of the forecast model, the way of planning of it will be discussed by examining the necessity of the model. Also, the systematic and technical parts of the new forecast model will be schematized.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1373-1376
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• 2012

복무적합도 검사는 정신질환이나 사고가능성이 있는 병사를 감별하고, 입대 후 적응문제로 조기 전역할 수 있는 집단을 예측하는 신인성검사 중 하나로, 현재 군에서 징병 및 입영단계에 실시하는 인성검사이다. 이는 전체 검사대상자를 상대로 정신과적 문제 식별을 위한 개별면담이 불가능하기 때문에 위 검사를 통해 대상자를 효율적으로 선별하기 위함이다. 본 연구는 데이터 마이닝을 통해 복무적합도 검사의 판정을 예측 할 수 있을지 확인하고자 하였다. 이를 위해 데이터 마이닝의 기법 중 회귀분석의 로지스틱 회귀분석 기법이 복무적합도검사 판정에 우수한 성능을 보임을 확인하였고, 로지스틱 회귀분석의 추정된 회귀계수를 이용하여 만든 반응확률에 대한 예측 모형식은 높은 정분류율을 보였고 평가 결과 통계적으로 의미가 있음을 증명하였다. 따라서 본 연구 결과를 활용하면 소수의 문항으로 복무적합도 검사 이전의 선별용 검사 개발이나 자가 진단용 검사 개발로 활용이 가능 할 것으로 기대한다.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.18 no.2
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• pp.23-38
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• 2007

The Ministry of Unification(MOU) attempts various ways to unify records management systems such as; by newly establishing Unification Archives and Records Management Team, by integrating different record management systems which had been managed by separate systems. This study explores the ways to systematically manage the major information resources of the MOU and proposes policy recommendations to succeed in unifying record management.

• Journal of Korea Port Economic Association
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• v.27 no.1
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• pp.155-183
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• 2011

The purpose of this paper is to analyze competition status of Korean and Chinese vessels in the EU market. To achieve this purpose, this study uses Market Share Index, Export Bias Index, Trade Specialization Index, Export Similarity Index, and Market Share Expansion Ratio-Export Similarity Deepening Ratio as analyzing method. The statistical data used in this study are obtained from the trade statistics for 5 years(2005-2009) produced by Korean International Trade Association. The results of this study show that Korean ships are less competitive than Chinese ones in the EU export market in that Korea does not export various kinds of ships but export some restricted kinds of vessels even in the competitive ship, implying that Korea has been gradually losing its competitiveness. These results suggest that Korea should improve the competitiveness of shipbuilding industry by pursuing such differentiated strategies as exporting high value-added vessels while keeping on maintaining Korea's dominance over its competitive ships to overcome China's competitive advantage in the EU region.

• International Commerce and Information Review
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• v.11 no.4
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• pp.111-128
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• 2009

As it is expected that change in trade environment has a significant impact on Korean economic growth as well as foreign trade of Korean economy we need an appropriate political response to it. Therefore, this study aims to analyse the Export Competitiveness of IT Industry to China and our trade policy. Korean balance of trade to China in 2007 records surplus of 18.9 billion dollars. However, many experts estimate unfavorable balance of trade will appear from 2010. In consideration of this condition, this study suggests a desirable trade policy for long-term maintenance of current Export Competitiveness between Korea and China. Using TSI and RCA, it analyses a Export Competitiveness of IT Industry to China from 2003 to 2007. To sum up the results, the TSI has been declining since 2005. RCA of semi-conductors has been declining since 2005 while that of communication equipment and computers has been increasing. During the analysis period, the mean RCA of semi-conductors is 55.01, which indicates that its export advantage is somewhat weak, and the mean RCA of communication equipment and computers are 227.22 and 175.83 respectively, which indicates that their export advantage is very strong. Production and export of Korea IT industry have greatly increased in quantity, but its technological quality and diversity have not been satisfactory. In particular, the base of IT industry is growing weaker due to serious dependence of core spare parts on advanced countries and transfer of simple assembly plants to China. To maintain export competitiveness of IT industry, we should pay more attention to technological improvement through more investment to the original technology for local production of core spare parts.

• International Commerce and Information Review
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• v.16 no.4
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• pp.55-75
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• 2014

Non-parametric method such as technology efficiency, DEA/Window model and Malmquist Productivity Index (MPI) are used to measure efficiency and productivity of ICT (Information and Communication Technology) manufacturing industry and service industry over the period 2007-2011. The results of this paper indicate following: (1) Technology efficiency of the ICT manufacturing industry were found as the range of 0.34 and 0.39 over the sample period. Technology efficiency of the ICT service industry were found as the range of 0.16 and 0.20 over the sample period. (2) The geometric average of the Malmquist TFP indexes on ICT manufacturing industry indicated the productivity improvement an average of 8.3 percent. The geometric average of the Malmquist TFP indexes on ICT service industry indicated the productivity improvement an average of 1.6 percent. (3) TIER analysis result on ICT manufacturing industry showed that optimal bench marking made by storage devices${\rightarrow}$wireless communication equipment${\rightarrow}$broadcasting equipment${\rightarrow}$radio, recording and playback devices${\rightarrow}$computers, printers, video and audio-visual equipment path. TIER analysis result on ICT service industry indicated that optimal bench marking made by computers and packaged software${\rightarrow}$wired communication${\rightarrow}$communication, information, detection equipment${\rightarrow}$consulting and construction for computer systems integration${\rightarrow}$industrial machinery and equipment rental${\rightarrow}$telecommunications reseller${\rightarrow}$system software development and delivery${\rightarrow}$hosting path.

• Journal of the Korea Institute of Building Construction
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• v.17 no.2
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• pp.119-125
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• 2017

Due to the processing cost, there were some reports on distribution of unrefined fly ash. Hence, in this research, the possibility of fly ash quality evaluation by measuring the density of various qualities of coal ash suspensions with hydrometer. According to the experimental results, the appropriate test conditions were determined with 1,000cc capacity mass cylinder for 1,000cc of water with 100g of fly ash. From the evaluating performance of various coal ashes, based on a good correlation between fineness and quality of the coal ashes, it was possible to evaluate the quality of coal ash by measuring different density of suspension with hydrometer. In this research conditions, the suggestable measuring time of density variation was three minute for fly ash quality related with fineness.

• The Korean Journal of Applied Statistics
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• v.31 no.4
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• pp.497-505
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• 2018

Attacking computer systems using ransomware is very common all over the world. Since antivirus and detection methods are constantly improved in order to detect and mitigate ransomware, the ransomware itself becomes equally better to avoid detection. Several new methods are implemented and tested in order to optimize the protection against ransomware. In our work, 582 of ransomware and 942 of normalware sample data along with 30,967 dynamic action sequence variables are used to detect ransomware efficiently. Several variable selection techniques combined with various machine learning based classification techniques are tried to protect systems from ransomwares. Among various combinations, chi-square variable selection and random forest gives the best detection rates and accuracy.

• Journal of the Korean Data and Information Science Society
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• v.20 no.4
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• pp.615-627
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• 2009

In micro marketing promotion, it is important to know the behavior of customers. In this study we are interested in the forecasting of repurchase of customers from customers' behavior. By analyzing the cosmetic transaction data we derive some variables which play an important role in the knowledge of the customers' behavior and in the modeling of repurchase. As modeling tools we use the decision tree, logistic regression and neural network model. Finally we decide to use the decision tree as a final model since it yields the smallest RASE (root average squared error) and the greatest correct classification rate.

• International Journal of Highway Engineering
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• v.11 no.2
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• pp.17-25
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• 2009

The goal of this study is to develop Logistic regression model by accident location(entry section, exit section, inside intersection and pedestrian crossing section). Based on the accident data of Chungbuk Provincial Police Agency(2004$\sim$2005) and the field survey data, the geometric elements, environmental factor and others related to traffic accidents were analyzed. Developed models are all analyzed to be statistically significant(chi-square p=0.000, Nagelkerke $R^2$=0.363$\sim$0.819). The models show that the common factors of accidents are the traffic volume(ADT), distant of crossing and exclusive left turn lane, and the specific factors are the minor traffic volume(inside intersection model) and U-turn of main road(pedestrian crossing model). Hosmer & Loineshow tests are evaluated to be statistically significant(p$\geqq$0.05) except the entry section model. The correct classification rates are also analyzed to be very predictable(more than 73.9% to all models).