• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.2
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• pp.152-167
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• 2018

The high-speed weigh-in-motion system can collect the traveling speed and load information of individual vehicles, which can be used in a variety of ways for the traffic surveillance. However, it has a limit to apply the high-speed weigh-in-motion data directly to a safety analysis because high-speed weigh-in-motion's raw data are point measured data. In order to overcome this problem, this paper proposes a method to calculate the conflict rate and the Impulse severity based on surrogate safety measures derived from the detection time, detection speed, vehicle length, vehicle type, vehicle weight. It will be possible to analyze and evaluate the risk of rear-end collision on freeway traffic. In addition, this study is expected to be used as a fundamental for identifying crash risks and developing policies to enhance traffic safety on freeways.

• Journal of Music and Human Behavior
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• v.7 no.2
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• pp.23-45
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• 2010

The purpose of this study is to determine the effects of lyric analysis using the mind-map technique on parenting stress of mothers with disabled children. Six mothers performed psychological tests to confirm the level of parenting stress. Participants attended a total of fourteen lyric-analysis using mind-map programs and the Questionnaire on Resource and Stress (QRS) was administered before the first session and after the last session. Results showed a significant difference (p<.05) in perceived parenting stress. Also positive changes were observed from video analysis of each session. Overall, this study suggests that the lyric analysis based on the application of mind-map may have the positive influence on the parenting stress of mothers raising disabled children.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.295-300
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• 2006

In this research, risk factors which can raise project cost are identified in the initial stage and picked out through the decision maker's baseline. And also this probable risks are implemented to the project cash flow to estimate the contingency and to build a risk management system in the level of project. The risks that affect the projects profits were classified in two categories in the risk checklist. Firstly, financial risks derived from the external economic conditions for example exchange rate, escalation, interest rates etc. are analyzed through the stochastic methods, Monte-Carlo Simulation. Secondly, the project individual risks which are come from the project characteristics, for example country risk, clime, owner etc., are evaluated using the utility curve of the decision maker. Finally these risk analysis methods are used to forecast the actual project cash flow and final profit.

• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.189-190
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• 2014

뇌경색, 뇌 신경장애 및 뇌졸중환자 중 급성기 환자는 의식이 없어 연하기능장애로 인한 흡인성 폐렴을 유발하기 때문에 비위관(nasogastric tube)을 삽입하고 영양공급을 한다. 재활훈련 후 회복기에 침상선별검사를 시행하지만 임상적 검사를 통해서는 무증상흡인은 발견할 수 없다. 그래서 연하장애로 비위관을 삽입한 연하재활치료 중인 환자 10명을 대상으로 VFSS를 시행하여 식이재료에 따른 삼킴 정도, 자세에 따른 삼킴을 재활의학과전문의가 평가 후, 흡인이 있거나 삼킴 곤란 등이 있으면 연하재활치료를 시행하여 환자의 상태에 따라 약 30일 ~ 50일후에 재평가를 시행한 후 흡인이 없을 시 비위관을 제거 하였다. 이때 VFSS 영상을 기능적 연하곤란척도를 이용, 분석하여 부여된 점수를 통계 산출 하였는데 비위관 유지군은 $49.79{\pm}9.431$을 보여 흡인의 위험을 나타내며, 비위관 제거군은 $11.20{\pm}1.932$로 흡인의 위험성이 낮아 비위관 제거관련 의미 있게 낮은 점수를 보였다. 두 군의 유의성을 평가하기 위해 Mann-Whitney test를 시행한 결과 p<0.001로 통계적으로 유의하다고 평가하였다. 결론적으로 VFSS는 구강, 인두, 식도의 구조적 이상과 움직임을 가장 효과적으로 평가, 기도흡인여부를 즉시 확인 및 환자에게 적합한 식이나 연하자세를 결정할 수 있어 비위관 제거를 위한 연하평가에 가장 확실한 표준검사로 제안할 수 있다.

• The Journal of the Korea Contents Association
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• v.15 no.12
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• pp.525-533
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• 2015

The evolution of spectrum sharing technology enables the creation of many business scenarios and business models such as TV white space service. Business models considering spectrum sharing should guarantee economic feasibility for service providers and increasing benefit for service users. In addition, new business models should contribute to economic activation in the wireless telecommunication service industry. It is therefore necessary to design quantitative evaluation methods for selection of the best business models. The methods should reflect the various points of view of valuation. Our research addresses evaluation method for business models considering spectrum sharing. We define evaluation indicators to reflect the distinct characteristics of spectrum sharing. Also, we adopt analytic hierarchy process(AHP) to derive the weights of each indicator to evaluate business models considering spectrum sharing.

• Journal of the Korean Society of Radiology
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• v.12 no.2
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• pp.253-260
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• 2018

Diffusion tensor images were obtained to investigate the damage of brain white matter in non-smokers and an adequate drinking group (less than 10 points) selected by scores of the Korean versions of alcohol use disorders identification test questionnaire. Factional anisotropy (FA) values, according to the variables of age and body mass index (BMI), were not statistically significant in all regions of the brain white matter after measurement of factional anisotropy (FA) values by the tract-based spatial statics (TBSS) method. In other words, age and body mass index (BMI) do not significantly affect the microstructural changes of the brain white matter.

• The Journal of the Korea Contents Association
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• v.15 no.11
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• pp.374-385
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• 2015

This purpose of study is to develop a dyslexia check list for students in middle and high school. To ensure the contents validity, researching related studies was conducted, and then factors and items were made under the 5 experts advisory. The pilot test was done on 265 students who are in middle and high school. To obtain the reliability, SPSS 21,0 was conducted as exploratory factor analysis and to confirm the goodness of fit test, AMOS 7.0 was done as confirmatory factor analysis. The results of study are as below, firstly, 8 measure factors and 34 items were ensured. Secondly, in exploratory analysis, Crombach ${\alpha}=.920$ was obtained, it was high value. Thirdly. in confirmatory factor analysis, the absolute fit index : GFI=.920, RMR=.057, RMSEA=.062 and incremental fit index : CGI=.960, TLI=.977 were ensured. Above results, the developed measurement tool for students in middle and high school in this study was confirmed as a suitable one.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.421-429
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• 2017

The high rates of smartphone usage among younger people and the negative impacts are well-known, but there remains a paucity of qualitative research on the topic. This study was designed to explore the experiences of university students addicted to smartphones. The author conducted in-depth individual interviews with 17 university students who scored in the upper 5th percentile on a smartphone addiction scale. All interviews were audiotaped, transcribed, and analyzed using qualitative content analysis. Students with a smartphone addiction were trapped in a vicious cycle. More specifically, they were "Realizing something was wrong with withdrawal symptoms," "Having negative consequences," "Seeking escape," and "Staying addicted." This study helped participating students realize their addiction and disclose their emotional and interpersonal difficulties related to their smartphone use. These understandings may be used to refine and further develop school-based programs to better help those addicted to smartphones to recover.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.3
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• pp.319-327
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• 2012

In this paper, we present a sign language recognition model which does not use any wearable devices for object tracking. The system design issues and implementation issues such as data representation, feature extraction and pattern classification methods are discussed. The proposed data representation method for sign language patterns is robust for spatio-temporal variances of feature points. We present a feature extraction technique which can improve the computation speed by reducing the amount of feature data. A neural network model which is capable of incremental learning is described and the behaviors and learning algorithm of the model are introduced. We have defined a measure which reflects the relevance between the feature values and the pattern classes. The measure makes it possible to select more effective features without any degradation of performance. Through the experiments using six types of sign language patterns, the proposed model is evaluated empirically.

• The Korean Journal of Applied Statistics
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• v.32 no.3
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• pp.451-462
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• 2019

Document-term frequency matrix is a type of data used in text mining. This matrix is often based on various documents provided by the objects to be analyzed. When analyzing objects using this matrix, researchers generally select only terms that are common in documents belonging to one object as keywords. Keywords are used to analyze the object. However, this method misses the unique information of the individual document as well as causes a problem of removing potential keywords that occur frequently in a specific document. In this study, we define data that can overcome this problem as proximity data. We introduce twelve methods that generate proximity data and cluster the objects through two clustering methods of multidimensional scaling and k-means cluster analysis. Finally, we choose the best method to be optimized for clustering the object.