• 한국컴퓨터정보학회논문지
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• 제24권2호
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• pp.149-155
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• 2019

The purpose of this paper is to design a survey of passenger satisfaction by using the Likert five-scale for the passengers of Incheon International Airport and Beijing Capital International Airport in China, and to combine the actual service situation of the airports in the two countries, using SPSS statistical software. Analyze and process statistics. Using the questionnaire survey method and exploratory factor analysis method, the airport service quality is analyzed to analyze the impact model of customer satisfaction. We will sort out the customer satisfaction with the two airports, compare and analyze the gaps in airport services between the two countries, and identify problems to formulate optimization and improvement plans.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2023년도 제68차 하계학술대회논문집 31권2호
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• pp.79-80
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• 2023

정부는 공공데이터의 품질 관리를 위하여 공공데이터 품질관리 수준평가를 진행하여 공공데이터 품질을 관리하고 있다. 파일 형식의 공공데이터를 진단 시 품질진단 담당자가 대량의 파일데이터를 필드명과 필드 내 데이터에 의존하여 수작업으로 도메인을 판단하여 진단한다. 때문에 품질진단의 정확성을 신뢰하기 어렵고 진단에 많은 시간이 소요된다. 본 논문은 파일형식의 공공데이터 품질진단의 정확성을 확보하고 진단 소요시간을 단축하기 위해 데이터 분포 통계를 이용한 CSV 형식의 공공데이터 도메인 판별 모델을 제안하였다. 제안된 모델을 적용하면 공공데이터 품질의 정확성을 향상하고 진단 소비 시간을 단축시킬 것으로 기대된다.

• 한국자동차공학회논문집
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• 제23권4호
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• pp.454-461
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• 2015

This study compares the results of a sled test and FEA(Finite Element Analysis) of a vehicle seatbelt system and aims to propose a method to efficiently reduce the error rate in the results of the FEA. This study evaluates the relative importance of potential causes, applying AHP(Analytic Hierarchy Process) technique in order to improve the reliability of the result of the FEA, and draw a highly reliable result of FEA, conducting a Taguchi Method and optimization for reducing the error rate in the FEA through the design of experiments.

• 대한전자공학회논문지
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• 제24권5호
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• pp.863-867
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• 1987

When digital image signals are transmitted or stored, they may be usually degraded by impulsive noise such as BSC noise. Though median filtering is a very effective method to reduce the impulsive noise, it brings non-negligible distortion after filtering. Several algorithms have been proposed to reduce such a distortion, but their reconstructed image quality are inadequate in some cases and they have a difficulty in real-time processing. In this paper, an effective filtering algorithm which can not only reduce the noise effectively but also preserve the edges well and lessen the distortion greatly, is presented. The proposed algorithm is an adaptive algorithm of median filter using local statistics, based on the characteristics of human eyes. The adaptive algorithm results shwo performance improvement of up to 3-4 dB over the nonadaptive one.

• Journal of the Korean Data and Information Science Society
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• 제16권1호
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• pp.59-69
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• 2005

Data mining is the method to find useful information for large amounts of data in database It is used to find hidden knowledge by massive data, unexpectedly pattern, relation to new rule. The methods of data mining are decision tree, association rules, clustering, neural network and so on. We analyze Gyeongnam social indicator survey data by 2001 using association rule technique for environment information. Association rule mining searches for interesting relationships among items in a given large data set. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary quality measures for association rule, support and confidence and lift. We can use to environmental preservation and environmental improvement by association rule outputs

• Journal of the Korean Data and Information Science Society
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• 제16권3호
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• pp.529-538
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• 2005

Data mining is the method to find useful information for large amounts of data in database. It is used to find hidden knowledge by massive data, unexpectedly pattern, relation to new rule. The methods of data mining are association rules, decision tree, clustering, neural network and so on. Association rule mining searches for interesting relationships among items in a riven large data set. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary quality measures for association rule, support and confidence and lift. We analyze Gyeongnam social indicator survey data using association rule technique for environmental information discovery. We can use to environmental preservation and environmental improvement by association rule outputs.

• 한국인구학
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• 제17권1호
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• pp.53-72
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• 1994

The historical study reveals that our ancestors had maintained a system which could produce data on population and households. The main purposes of maintaing the system at that time were taxation and conscription. At the present time, however, there are three major data sources which produce the statistics on pop-ulation and households in Korea : Civil Registration System, Resident Registration System and Popula-tion Census. These three systems are found to have some problems. there are some inherent problems in the regis-tration systems, such as problems in its coverage, accuracies in contents and timeliness in reporting the vital events and publishing the results. The population census has also non- sampling erors, such as errors in coverage, respone and non-response. Apart from the above mentioned problems, there are also conflicting problems arised from having three data sources, We can find some overlapping problems and difficulties in comparative studies. In the future, these problems should be considered for the improvement of the quality of statistics on population and household.

• 한국인구학
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• 제5권1호
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• pp.99-116
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• 1982

The historical study reveals that our ancestors had maintained a system which could produce data on population and households. The main purposes of maintaing the system at that time were taxation and conscription. At the present time, however, there are three major data sources which produce the statistics on pop-ulation and households in Korea : Civil Registration System, Resident Registration System and Popula-tion Census. These three systems are found to have some problems. there are some inherent problems in the regis-tration systems, such as problems in its coverage, accuracies in contents and timeliness in reporting the vital events and publishing the results. The population census has also non- sampling erors, such as errors in coverage, respone and non-response. Apart from the above mentioned problems, there are also conflicting problems arised from having three data sources, We can find some overlapping problems and difficulties in comparative studies. In the future, these problems should be considered for the improvement of the quality of statistics on population and household.

• Journal of Radiation Protection and Research
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• 제44권1호
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• pp.1-7
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• 2019

Background: To monitor proton beam in proton therapy, prompt gamma imaging systems are being developed by several research groups, and these systems are expected to improve the quality of the treatment and the patient safety. To apply the prompt gamma imaging systems into spot scanning proton therapy, the systems should be able to monitor the proton beam range of a spot with a small number of protons ( <$10^8$ protons), which is quite often not the case due to insufficient prompt gamma statistics. Materials and Methods: In the present study, we propose to improve prompt gamma statistics by merging the prompt gamma distributions of several individual spots into a new distribution. This proposal was tested by Geant4 Monte Carlo simulations for a multi-slit prompt gamma camera which has been developed to measure the proton beam range in the patient. Results and Discussion: The results show that the proposed method clearly enhance the statistical precision of beam range measurement. The accuracy of beam range verification is improved, within ~1.4 mm error, which is not achievable before applying the developed method. Conclusion: In this study, we tried to improve the statistics of the prompt gamma statistics by merging the prompt gamma distributions of multiple spots, and it was found that the merged distribution provided sufficient prompt gamma statistics and the proton beam range was determined accurately.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2004년도 추계학술대회
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• pp.115-124
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• 2004

Data mining is the method to find useful information for large amounts of data in database. It is used to find hidden knowledge by massive data, unexpectedly pattern, relation to new rule. The methods of data mining are association rules, decision tree, clustering, neural network and so on. Association rule mining searches for interesting relationships among items in a given large data set. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary quality measures for association rule, support and confidence and lift. We analyze Gyeongnam social indicator survey data using association rule technique for environmental information discovery. We can use to environmental preservation and environmental improvement by association rule outputs.