• Journal of the Korean Data and Information Science Society
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• v.18 no.1
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• pp.1-10
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• 2007

In this paper, we focus on churn analysis for the first successful candidates in the entrance examination on 2006 year using Clementine, data mining tool. The goal of this study is to apply decision tree including C5.0 and CART algorithms, neural network and logistic regression techniques to predict a successful candidate churn. And we analyze the churning and nochurning successful candidates and why the successful candidates churn and which successful candidates are most likely to churn in the future using data from entrance examination data of K university on 2006 year.

• Journal of the Korea Safety Management & Science
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• v.12 no.2
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• pp.209-216
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• 2010

We need a study of the ratio of successful applicants control methodology about the national technical qualification under the global-green industrial society and rapid change of international circumstances, infinite competition rider society under FTA aspects. It is necessary to develop of HRD Korea selfishness and increase brand value of national technical qualification. So, this study is analysed to the ratio of successful applicants of national technical qualification toward change of the 'bank of problems' control rule, various characters of candidates and the trend of demand and supply of labours instead of the absolute evaluation method. Accordingly, this study suggests to a methodology for the forecasting model of the ratio of successful applicants using the level of problems difficulty and pattern and the candidates academical carriers.

• Proceedings of the PSK Conference
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• 2002.10a
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• pp.92-93
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• 2002

With the recent development of combinatorial chemistry, recombinant biotechnology and rational drug design, millions of compounds are being produced in the laboratories of pharmaceutical companies. These new drug candidates are evaluated their efficacy and toxicity through in vivo animal model studies which is very important in drug development. From these studies, very successful drug candidates are selected. (omitted)

• Journal for History of Mathematics
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• v.19 no.3
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• pp.1-20
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• 2006

The administrative service in Chosun Dynasty relating to mathematics was carried out by the middle class(中人) mathematicians selected by the official selection examination(取才). They belong to HoJo(戶曹) department and their ranks are GyeSa(計士), ByulJe(別提), HunDo(訓導 = mathematics teacher), and GyoSu(敎授 = mathematics professor). We call them SanWon(算員). HunDo and GyoSu played very important role although their ranks are low, for they educate SanWon and manage the official selection examination. Using JuHakSeonSaengAn(籌學先生案, List of mathematics teachers) and JuHakIpGyukAn(籌學入格案, List of successful candidates in the official selection examination for mathematics), we investigate HunDo and GyoSu in Chosun Dynasty.

• Journal of Korean Neurosurgical Society
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• v.54 no.6
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• pp.496-500
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• 2013

Objective : To evaluate the successful fusion rate in postmenopausal women with single-level anterior cervical discectomy and successful fusion (ACDF) and identify the significant factors related to bone successful fusion in pre- and postmenopausal women. Methods : From July 2004 to December 2010, 108 consecutive patients who underwent single-level ACDF were prospectively selected as candidates. Among these, the charts and radiological data of 39 women were reviewed retrospectively. These 39 women were divided into two groups : a premenopausal group (n=11) and a postmenopausal group (n=28). To evaluate the significant factors affecting the successful fusion rate, the following were analyzed : the presence of successful fusion, successful fusion type, age, operated level, bone mineral density, graft materials, stand-alone cage or plating with autologous iliac bone, subsidence, adjacent segment degeneration, smoking, diabetes mellitus, and renal disease. Results : The successful fusion rates of the pre- and postmenopausal groups were 90.9% and 89.2%, respectively. There was no significant difference in the successful fusion rate or successful fusion type between the two groups. In the postmenopausal group, three patients (10.8%) had successful fusion failure. In the postmenopausal group, age and subsidence significantly affected the successful fusion rate (p=0.016 and 0.011, respectively), and the incidence of subsidence in patients with a cage was higher than that in patients with a plate (p=0.030). Conclusion : Menopausal status did not significantly affect bone successful fusion in patients with single-level ACDF. However, in older women with single-level ACDF, the combination of use of a cage and subsidence may unfavorably affect successful fusion.

• Journal of Korean Society for Geospatial Information Science
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• v.16 no.2
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• pp.77-86
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• 2008

The information of university entrance examination is important information to examinees as well as each universities. And this information can be used various fields. By using this information, examinees can choose the university which is most suitable regions through oneself's grade, and universities can decide the entrance policy and public relations of university. Furthermore, this information can be used important data to promote student's welfare. Therefore the introduction of College Matriculation System which can share between examinees and universities is keenly required. This study has developed the College Matriculation System which is Web2.0- based by using Naver Map API. By using this system, the information about candidates, and successful candidates and registrants for admission can be analysed, also the ratio of successful candidates in comparison with candidates and the change ratio of candidates during these three years can be analyzed. Besides, it can be supported the entrance public relations policy of universities by managing the public relations history, and it can be provided the information of university by grade to examinees on matriculation information based. Therefore, it was possible that manage and practical use of various data through connected with map based on web 2.0 which is opened. And it is considered possible to express more various information based on map constructing GIS system of user center that is not GIS system of existent offerer center.

• Journal of Korean Society for Geospatial Information Science
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• v.15 no.1 s.39
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• pp.9-16
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• 2007

As a number of new college students is dramatically decreasing, each college is trying to find various solutions for gathering many students and operating a school. In specialty, information such as entrance examination and matriculation status data is very important for a college to decide a direction of admission and public relations policy, and increase welfare of the school. Therefore, it is seriously needed for a school to introduce a matriculation management system that can do the effective analysis through various entrance examination and matriculation status data and decision factors of school. In this study, I developed a matriculation management system which can analyze information of applicants, successful candidates and registrants based on national framework data, and was able to analyze applicants, successful candidates, registrants by regional groups and the ratio of successful applicants against applicants and the change rate of applicants in the last 3 years. It is expected that the developed system can provide appropriate and rational information for public relations policy and operation to a college.

• Journal of Institute of Control, Robotics and Systems
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• v.21 no.12
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• pp.1122-1129
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• 2015

This paper suggests a method of detecting traffic lights for vehicles by combining the HSV(hue saturation value) color model, morphometric characteristics, and location information appearing on consecutive images in daytime. In order to detect the traffic light, the color corresponding to the signal lights should be explored. It is difficult to detect traffic lights among colors of lights from buildings, taillight of cars, leaves, placards, etc. The proposed algorithm searches for the traffic lights from many candidates using morphometric characteristics and location information in consecutive images. The recognition process is divided into three steps. The first step is to detect candidates after converting RGB channel into HSV color model. The second step is to extract the boundaries between the housing of traffic lights and background by exploiting the assumption that the housing has lower brightness than the surrounding background. The last step is to recognize the signal light after eliminating the false candidates using morphometric characteristics and location information appearing on consecutive images. This paper demonstrates successful detection results of traffic lights from various images captured on the city roads.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.227-230
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• 1997

In this paper, robot navigation experiments with a new navigation algorithm are carried out in real environments. The authors already proposed a reactive navigation algorithm for mobile robots using optimal via-point selection method. At each sampling time, a number of via-point candidates is constructed with various candidates of heading angles and velocities. The robot detects surrounding obstacles, and the proposed algorithm utilizes fuzzy multi-attribute decision making in selecting the optimal via-point the robot would proceed at next step. Fuzzy decision making allows the robot to choose the most qualified via-point even when the two navigation goals-obstacle avoidance and target point reaching-conflict each other. The experimental result shows the successful navigation can be achieved with the proposed navigation algorithm for real environments.

• Journal of Gifted/Talented Education
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• v.18 no.2
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• pp.239-264
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• 2008

The gap in academic achievement owing to entrance age in elementary school has been used as important basic data to formulate policies on school entrance system and other educational policies. Other countries have made further studies to prove the effect on academic achievement of age gap between students in the same grade. This study identified the clear difference in a component ratio in the participants and the successful candidates based on the by entrance age during the entrance examination of the "K" science education center for the gifted. Also, this study analyzed the difference in success in an examination depending on the season of birth between the participants and the successful candidates during the entrance examination. It also compared the birth ratio by season of each group including common students. Some preceding studies with common or backward students show the result that students who entered the school in full age have higher level of academic achievements than students in younger age. But the results of this study proved that gifted students who entered the school in full age did not have a high level of academic achievements. Like these studies, this study show the result that school entrance age works as an important factor of selection of gifted students. Students who entered the school in full age entered much more the "K" science education center for gifted students than students in young age.