• Journal of Korean Society of Transportation
• /
• v.23 no.1
• /
• pp.9-20
• /
• 2005

Accident type and/or factor identification is important in accident reduction planning. The aim of this paper is to apply the hierarchical approach with binomial distribution and logistic regression analysis to find out types and factors, respectively. Based on 2001 Suwon city black spot data, a binomial distribution modeling approach has been applied to diagnose the black spots, with the help of safety performance modeling approach has been applied to diagnose the black spots, with the help of safety performance function. Then, the logistic regression analysis has been employed to identify the critical factors. Some accident remedies are also reviewed in the light of the model outcomes. The proposed research framework sheds light on a different accident related research and can also be successfully applied to similar studies and sites.

• 한국사회정책
• /
• v.20 no.2
• /
• pp.35-68
• /
• 2013

Class has been the factor that affects welfare attitudes in western societies. But the results of the studies on affects of class in Korea are not consistent. This Study focuses on the relations between three class variables-income, status in employment, occupation-and the Korean attitudes on welfare policy and examines the regulating effects of education on that. Attitudes on welfare policy consist of 'reinforcement of established welfare programs', 'expansion into new welfare area' and 'universalism in welfare policy.' The result shows that all three class variables, education and age do not affect the attitudes to 'reinforcement of established welfare programs.' Age and class variables affects the attitudes to 'expansion into new welfare area' statistically, but education does not. Education explains largest parts of the attitudes to 'universalism in welfare policy.'

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.23 no.4
• /
• pp.295-305
• /
• 2021

In this study, we constructed using Random Forest(RF) by selecting the meteorological factors related to the occurrence of frost. As a result, when constructing a classification model for frost occurrence, even if the amount of data set is large, the imbalance in the data set for development of model has been analyzed to have a bad effect on the predictive power of the model. It was found that building a single integrated model by grouping meteorological factors related to frost occurrence by region is more efficient than building each model reflecting high-importance meteorological factors. Based on our results, it is expected that a high-accuracy frost occurrence prediction model will be able to be constructed as further studies meteorological factors for frost prediction.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.8
• /
• pp.31-39
• /
• 2022

Stock prices are influenced by a number of external factors, such as laws and trends, as well as number-based internal factors such as trading volume and closing prices. Since many factors affect stock prices, it is very difficult to accurately predict stock prices using only fragmentary stock data. In particular, since the value of a company is greatly affected by the perception of people who actually trade stocks, emotional information about a specific company is considered an important factor. In this paper, we propose a deep learning-based stock price prediction model using sentiment analysis with news data considering temporal characteristics. Stock and news data, two heterogeneous data with different characteristics, are integrated according to time scale and used as input to the model, and the effect of time scale and sentiment index on stock price prediction is finally compared and analyzed. Also, we verify that the accuracy of the proposed model is improved through comparative experiments with existing models.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.46 no.4
• /
• pp.97-107
• /
• 2009

In image-based gait recognition systems, physical factors, such as the camera angle and the lens distortion, and environmental factors such as illumination determines the performance of recognition. In this paper we present a robust gait recognition method by compensating various types of image distortions. The proposed method is compared with existing gait recognition algorithm with consideration of both physical and environmental distortion factors in the input image. More specifically, we first present an efficient compensation algorithm of image distortion by using the projective transform, and test the feasibility of the proposed algorithm by comparing the recognition performances with and without the compensation process. Proposed method gives universal gait data which is invariant to both distance and environment. Gained data improved gait recognition rate about 41.5% in indoor image and about 55.5% in outdoor image. Proposed method can be used effectively in database(DB) construction, searching and tracking of specific objects.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.1
• /
• pp.205-211
• /
• 2023

The purpose of this study is to identify what factors actually affect the turnover intentions of social workers. It is an important task to grasp the factors of turnover of the social worker through empirical analysis because the high turnover rate of social welfare workers in Korea has a negative influence on their organization and ultimately impedes the stable delivery of social welfare services. This study used the results of analyzing 100 social workers in social service companies. In fact, the data used in this study were statistically analyzed only for 82 subjects, except for 18 subjects who did not respond to the variables used. As a result, the general effects of job stress on job turnover and job exhaustion were examined as much as possible. We examined the effect of job stress, an independent variable, on the turnover and exhaustion of social workers. Specifically, job stress was divided into role, organizational, and relationship, and it was found that role - related factor job stress only affected social workers' turnover intention significantly. In addition, the relationship-related affected the exhaustion of the social worker. Therefore, in order to reduce the exhaustion of the social worker, the desirable direction to reduce the stress of the relationship-related factor should be sought.

• Journal of the Economic Geographical Society of Korea
• /
• v.15 no.4
• /
• pp.695-707
• /
• 2012

This study focuses on the importance of macro socio-economic factors to explain the successes of Hallyu(Korean Wave). Studies of Hallyu have mainly discussed the contents of Hallyu products, emphasizing the excellence of Korean culture or cultural similarities in the East Asia. Analyzing cultural industrial factors, the study purports to contribute to more comprehensive explanations of Hallyu. To do so, the study analyzes the Japanese case, because Japan is considered as society where Hallyu is most institutionalized. The study suggests the importance of cultural exchanges between Korea and Japan as the background factors for Hallyu's success in Japan. In addition, the study shows the interactions of 'push factors' in Korea and 'pull factors' from Japan. As for push factors in Korea, this paper suggests the decline of music records(CD and DVD) industry and growing competition in broadcasting industry in Korea. Regarding the pull factors from Japan, robust music industry and changing broadcasting system are discussed. Although this paper try to suggest as many evidences as possible, the macro data suggested are not fully comprehensive enough to explain the importance of cultural industrial factors. In addition, micro-level analyses on the interactions among people who are working in the cultural industries are also necessary, and thus remained for the future studies.

• The Journal of the Korea Contents Association
• /
• v.8 no.3
• /
• pp.264-269
• /
• 2008

When English disyllabic words are borrowed into the Korean language, the loanwords tend to have extra syllables. The purpose of this paper is to find the syllable increase conditions in loanword adaptation and further to provide an algorithm to predict the syllable numbers of English disyllabic loanwords. There are three syllable augmentation conditions. The presence of diphthongs and the existence of consonant clusters guarantee the increase of the syllable numbers in the English loanwords. Further, the quality of the final consonant (and the preceding vowel) sometimes trigger the increase of the syllable numbers. Based on the conditions, an algorithm composed of 4 rules are proposed in order to predict the number of syllables in English disyllabic loanwords.

• 한국HCI학회:학술대회논문집
• /
• 2008.02b
• /
• pp.146-151
• /
• 2008

새로운 사용자 경험의 향상을 위해 UI 의 개선방안을 모색할 때, 기존에 수행해 오던 일반적 사용성 평가 방법만으로는 모바일과 같이 복합적 컨텍스트를 가진 서비스 이용환경을 파악하는데 적지 않은 한계가 있다. 가령 특정 Task 수행시 Lead Time 측정과 같은 계량화된 사용성 평가방법을 통해서는 실제 사용자의 컨텍스트를 고려한 사용성의 수준(혹은 오류의 수준)에 대한 분석이 어려운 반면, In-depth Interview 로 대표되는 통상의 정성적인 사용자 리서치 방법은 장애의 요인과 결과간의 논리적인 상관관계를 명확화하거나 실측적인 개선 성과로써 도출해 내는데 어려움이 있다. 본 연구에서는 정량적인 사용성 평가방법에 정성적인 사용자 리서치 수행기법 및 통계적 기법을 결합하여, 실측 가능하고 설득력을 가진 근거 데이터를 지지하는 한편 한계로 남겨져 왔던 행위결과에 대한 요인에도 적절한 인사이트를 제시할 수 있는 대안적 사용성 평가 방법을 제시하고자 한다.

• Survey Research
• /
• v.3 no.1
• /
• pp.25-51
• /
• 2002

We examine the response patterns to web survey with a series of experiments embedded in a survey of students at the Sookmyung Women's University. A sample of 960 students was sent e-mail invitation to participate in a internet survey, The response rate was 53.9% except partial and overall non-response. Methodological experiments included the use of a pre-notification, reminder notices as well as the type of questionnaire. These factors that manipulate the perceived burden of the task had an effect on the likelihood of accepting the survey invitation. This paper discusses the overall implementation and outcome of the survey, and describes the results of the imbedded design experiments. Also we compared the representative of self-selected and probability sample.