• The Journal of the Korea Contents Association
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• v.9 no.6
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• pp.37-44
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• 2009

In this paper, we present a switched beamforming RFID reader and propose a convenient shopping system using it. The smart gate with the switched beamforming RFID reader(s) improves tag detection probability, tag false alarm probability, automatic detection functionality of shopping system compared to existing RFID based systems. The proposed system consists of a smart gate to read and verify the tags within cart, a check-out counter to approve customer purchase, and a central server to manage inventory & delivery and to analyze customer purchase trend. The proposed shopping system is more practical, convenient, and cost-effective to A/S than existing RFID shopping systems.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.18 no.8
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• pp.8-17
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• 2019

In this study, a model reduction technique was used to develop a precise noise and vibration prediction model for the individual components of a driveline system. The dynamic reduced-order model generated by the Craig-Bampton method was applied to perform dynamic analysis of an electric agricultural power cart. The natural frequency and acceleration response results were analyzed according to the different number of dominant sub-structural modes contained in the reduced-order models. Through the analysis results, it was confirmed that a sufficient number of dominant sub-structures to satisfy the operating conditions should be selected to construct an optimal reduced-order model.

• Journal of Information Technology Services
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• v.20 no.2
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• pp.111-126
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• 2021

A Kano model was used to classify the quality attributes of the service robot function for actual deployment that can support and replace bank employees. Quality attributes for a total of 6 dimensions and 23 service elements were divided into bank employees and customer groups, and service priorities were derived after comparative analysis. The Decision tree model was used to supplement the excessive simplification of quality attributes by the modest number of Kano models and to classify and predict by segment market. Of the 23 services, 16 were classified into the same attributes in both groups. 6 services classified as combination attributes used a Decision tree to identify differences in perception of quality attributes among groups. In terms of basic financial services and professional financial services, it was confirmed that bank employees feel financial service robots more attractive than ordinary customers. In the design of IT convergence service, we propose a methodology for deriving quality attributes by combining a Kano model for classifying quality attributes of two groups and a Decision tree for forecasting subdivision markets.

• Journal of Cadastre & Land InformatiX
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• v.45 no.1
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• pp.225-240
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• 2015

The effect of passing pedestrians'characteristics on locational goodwill was empirically modeled and tested. The theoretical basis for the study was central place theory, bid rent and, agglomeration theory, and demand externality theory. The data included information on goodwill, retail rents and passing pedestrians' characteristics in 100 retail trade areas in Seoul. The empirical model was tested with the sample of 1,307 retail units in Seoul, South Korea. The data set was analyzed with the Classification and Regression Tree software. As the results, using the regression tree method, the variables does affect locational goodwill in the each retail trade area were the volume of pedestrians around 2:00 pm on weekdays, volume of pedestrians around 4:00 pm on weekdays, and volume of pedestrians around 8:00 pm on weekdays. In summary, not only the economic base in the retail trade area but also the volume of passing pedestrians should be considered to determine the locational goodwill.

• Journal of the Korea Society of Computer and Information
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• v.6 no.2
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• pp.157-162
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• 2001

Internet shopping mall is done commercial trade in particular web sites, and zoomed with an important means of trade for the next generation. When users visit shopping mall, the best objective is determined to users by of offering satisfaction and pleasant experience. Therefore. this paper was selected a menu list as an evaluation factor to emphasize a usage convenience of internet shopping mall, and executed a performance and a subjective satisfaction evaluations on a screen design and a structure design. The results of all the performance and the subjective evaluations for the screen design were shown the shortest search times on left type of the main-menu and vertical type of the medium-menu. In the structure design, it was shown that users were the highest satisfaction in type that search product and shopping cart procedure were firstly processed, and the procedure of a shopping membership and paying a bill were secondly processed at the same screen with regard to a comprehensibility and convenience of purchase procedure. It was shown that the user prefered the shopping mall web site to analogy with the real purchase procedure

• 한국방재학회:학술대회논문집
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• 2008.02a
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• pp.739-742
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• 2008

Surface Image Velocity (SIV) is a technique which measures the surface velocity of river by using the principle of Paticle Image Velocimetry (PIV). The technique is economical and efficient way to measure velocity in rivers. The present paper aims to apply the technique to three rivers in Korea. It uses pairs of river surface images taken with two digital-cameras and reference points and cross section data which were acquired through plane survey. The performance of SIV was verified with automatic cart on an experimental flume. The test revealed that average error was less than 10 %, which assures that SIV can be used to measure velocity accurately. When it was applied to rivers with low water levels or rough weather condition, however, it showed the error about 20 %. If the problems of SIV technique are settled down, it can be one of the most convenient and economical ways to measure water discharge anytime and anywhere. And then it would be helpful to river management as developing a real-time river information system.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.382-382
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• 2017

최근 전 세계적으로 가뭄 재해가 증가함에 따라 국내의 경우 가뭄상황을 모니터링하기 위하여 다양한 유관 기간에서 가뭄정보시스템을 활용하여 가뭄지수를 공간지도 형태로 제공하고 있다. 기상청 수자원공사 농어촌공사 등에서 기상/수문/농업관련 가뭄지수의 위험지도를 실시간으로 제공하고 있으며 각 지표별로 수문기상학적 특징과 용수공급시설 및 수요공급의 이수상황 등을 고려하여 활용하고 있다. 하지만 제공되고 있는 가뭄지수의 공간분포는 지점 자료를 기반으로 내삽기법 (interpolation)을 통해 재 산정된 지도로 공간 해상도 측면에서 조악한 해상도를 갖고 있다. 이와 같은 한계점을 보완하기 위하여 시 공간적으로 특성이 동일한 광범위한 지역에 대한 정보를 주기적으로 제공 가능하다는 측면에서 위성영상자료를 활용한 가뭄모니터링 연구의 필요성이 요구된다. 본 연구에서는 위성영상을 이용한 식생 정보 및 기후 정보 생물물리학적 정보를 활용한 식생가뭄반응지수 (Vegetation Drought Response Index in Korea VegDRI-Korea)를 제시하고 국내의 적용성 검증을 위하여 국내 주요 가뭄 사상을 대상으로 시공간적 가뭄상황을 분석하였다. 식생가뭄반응지수는 유역단위 또는 행정구역 단위별로 실시간 가뭄 상황을 분석할 수 있는 고해상도 위성영상 기반의 가뭄지수로써 향후 한반도 전역의 가뭄모니터링 및 주기적인 모니터링을 통해 가뭄예상지역 판단에 대한 의사결정지원에 활용할 수 있다.

• Journal of radiological science and technology
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• v.45 no.6
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• pp.491-502
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• 2022

The purpose of this study was to retrospectively investigate the upper and lower control limits of treatment planning parameters using EBT film based delivery quality assurance (DQA) results and to analyze the results of statistical process control (SPC) in helical tomotherapy (HT). A total of 152 patients who passed or failed DQA results were retrospectively included in this study. Prostate (n = 66), rectal (n = 51), and large-field cancer patients, including lymph nodes (n = 35), were randomly selected. The absolute point dose difference (DD) and global gamma passing rate (GPR) were analyzed for all patients. Control charts were used to evaluate the upper and lower control limits (UCL and LCL) for all the assessed treatment planning parameters. Treatment planning parameters such as gantry period, leaf open time (LOT), pitch, field width, actual and planning modulation factor, treatment time, couch speed, and couch travel were analyzed to provide the optimal range using the DQA results. The classification and regression tree (CART) was used to predict the relative importance of variables in the DQA results from various treatment planning parameters. We confirmed that the proportion of patients with an LOT below 100 ms in the failure group was relatively higher than that in the passing group. SPC can detect QA failure prior to over dosimetric QA tolerance levels. The acceptable tolerance range of each planning parameter may assist in the prediction of DQA failures using the SPC tool in the future.

• Journal of Sasang Constitutional Medicine
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• v.12 no.1
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• pp.144-156
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• 2000

Purpose of this study is to help classifying Sasang Constitution through correlation with Larynx waveform. This study was done it under the suppose that Sasang Constitution would be correlation with Larynx waveform. The following result were obtained about correlation between Erectroglottograph waveform and Sasang Constitution by analysis EGG program. 1. Taeumin was lower than Soyangin in Open Std Deviation, Contact Std Deviation of male/a/(0.5sec) 2. Soeyangin was high compared with the others in Pitch range of maie/a/(2.5sec) 3. Taeumin was higher than Soeumin in Pitch range, Soeyangin in pitch Maximum, and the others in Pitch Std Deviation of female/e/(0.5sec) 4. Taeumin was higher than Soeumin in Contact Maximum and lower than Soeumin in Contact Maximum of female/a/(2.5sec) 5. There was no significantly difference in male/e/(0.5sec), male/e/(2.5sce), female/a/(0.5sec), female/e/(2.5sec) 6. The percent of correctly classified in Soeoumin and Taeumin was high in CART Algolism. The risk estimate of Soyangin was relatively high. The study may be use on of the method to make objective diagnosis in Sasang constitution.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.149-169
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• 2018

Korea is currently accumulating a large amount of data in public institutions based on the public data open policy and the "Government 3.0". Especially, a lot of data is accumulated in the tourism field. However, the academic discussions utilizing the tourism data are still limited. Moreover, the openness of the data of restaurants, hotels, and online tourism information, and how to use SNS Big Data in tourism are still limited. Therefore, utilization through tourism big data analysis is still low. In this paper, we tried to analyze influencing factors on foreign tourists' satisfaction in Korea through numerical data using data mining technique and R programming technique. In this study, we tried to find ways to revitalize the tourism industry by analyzing about 36,000 big data of the "Survey on the actual situation of foreign tourists from 2013 to 2015" surveyed by the Korea Culture & Tourism Research Institute. To do this, we analyzed the factors that have high influence on the 'Satisfaction', 'Revisit intention', and 'Recommendation' variables of foreign tourists. Furthermore, we analyzed the practical influences of the variables that are mentioned above. As a procedure of this study, we first integrated survey data of foreign tourists conducted by Korea Culture & Tourism Research Institute, which is stored in the tourist information system from 2013 to 2015, and eliminate unnecessary variables that are inconsistent with the research purpose among the integrated data. Some variables were modified to improve the accuracy of the analysis. And we analyzed the factors affecting the dependent variables by using data-mining methods: decision tree(C5.0, CART, CHAID, QUEST), artificial neural network, and logistic regression analysis of SPSS IBM Modeler 16.0. The seven variables that have the greatest effect on each dependent variable were derived. As a result of data analysis, it was found that seven major variables influencing 'overall satisfaction' were sightseeing spot attraction, food satisfaction, accommodation satisfaction, traffic satisfaction, guide service satisfaction, number of visiting places, and country. Variables that had a great influence appeared food satisfaction and sightseeing spot attraction. The seven variables that had the greatest influence on 'revisit intention' were the country, travel motivation, activity, food satisfaction, best activity, guide service satisfaction and sightseeing spot attraction. The most influential variables were food satisfaction and travel motivation for Korean style. Lastly, the seven variables that have the greatest influence on the 'recommendation intention' were the country, sightseeing spot attraction, number of visiting places, food satisfaction, activity, tour guide service satisfaction and cost. And then the variables that had the greatest influence were the country, sightseeing spot attraction, and food satisfaction. In addition, in order to grasp the influence of each independent variables more deeply, we used R programming to identify the influence of independent variables. As a result, it was found that the food satisfaction and sightseeing spot attraction were higher than other variables in overall satisfaction and had a greater effect than other influential variables. Revisit intention had a higher ${\beta}$ value in the travel motive as the purpose of Korean Wave than other variables. It will be necessary to have a policy that will lead to a substantial revisit of tourists by enhancing tourist attractions for the purpose of Korean Wave. Lastly, the recommendation had the same result of satisfaction as the sightseeing spot attraction and food satisfaction have higher ${\beta}$ value than other variables. From this analysis, we found that 'food satisfaction' and 'sightseeing spot attraction' variables were the common factors to influence three dependent variables that are mentioned above('Overall satisfaction', 'Revisit intention' and 'Recommendation'), and that those factors affected the satisfaction of travel in Korea significantly. The purpose of this study is to examine how to activate foreign tourists in Korea through big data analysis. It is expected to be used as basic data for analyzing tourism data and establishing effective tourism policy. It is expected to be used as a material to establish an activation plan that can contribute to tourism development in Korea in the future.