• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.8
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• pp.1947-1954
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• 2009

Camera-captured car plate images contain much variation and noise and the character images in a plate are typically very small. We attempted to improve the plate identification efficiency suitable for this undesirable condition. We experimented various image preprocessing and feature extracting methods and the very effective features that can compensate one feature's limitation is determined through extensive experiments. Finally two very effective features that can complement the limitations of each other feature(classifier) are determined and the efficiency is proved by recognition experiments. This approach is very necessary when handling plate character images which are typically small, various, and noisy. Individual classification result, confidence factor, region name relation and feedback verification are comprehensively considered to enhance the overall recognition efficiency. The efficiency of our method is verified by a recognition experiment using real car plate images taken from traffic roads.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.1
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• pp.128-134
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• 2013

The purpose of this study wat to investigate relationships of learning motivation and self-efficacy according to participation in a motivational program for university freshman studying physical education. A total of 66 university freshman participated in the current study and divided into experimental group and control group. Questionnaires were distributed before and after motivational program. Statistical methods used in this study were descriptive analysis, paired t-test, ANOVA, and ANCOVA. The results showed the following. First, There was a significant difference in the external motivation variable of learning motivation of the experimental group. Second, the experimental group showed a statistical difference between pretest and posttest in the confidence variable of self-efficacy. positive attitude influenced on leisure satisfaction.

• Journal of Korean Society of Transportation
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• v.23 no.1
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• pp.83-92
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• 2005

This study if the first trial toward realizing a new methodology for vehicle re-identification based on heterogeneous sensor systems. A major interest of the author is how to effectively utilize information obtained from different sensors to derive accurate and reliable section travel times. The 'blade' sensor that is a newly developed sensor for capturing vehicle wheel information and the existing square loop sensor are employed to extract the inputs of the proposed vehicle re-identification algorithm. The fundamental idea of the algorithm developed in this study, which is so called 'anonumous vehicle re-identification,' it to match vehicle features obtained from both sensors. The results of the algorithm evaluation reveal that the proposed methodology could be successfully implemented in the field. The proposed methodology would be an invaluable tool for operating agencies in support of traffic monitoring systems and traveler information systems.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.7 no.4
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• pp.13-24
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• 2008

Real-time traffic data are readily obtainable by traffic surveillance systems of intelligent transportation systems (ITS). Such data greatly support further applications in the field of traffic operations, planning, and safety. However, traffic data should be appropriately processed to fully exploit the benefits of data collection capability. Rather than developing individual data processing techniques, which is major concern of existing studies, this study proposes a novel methodology for evaluating data processing techniques in an integrated manner. Also, a tool for implementing the proposed methodology is developed. Users can extract useful and more reliable traffic data based upon their ultimate purpose of data usage by the evaluation tool developed in this study. Actual freeway traffic data are, as an example, fed into the evaluation tool, and results are discussed.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.195-203
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• 2021

This is descriptive research aimed at determining the relations with appearance satisfaction and self-efficacy in controlling job-seeking stress and at providing basic data necessary to decide on an education direction for better career maturity and explore psychological resources. For data collection, convenience sampling was performed among dental hygiene students consenting to participate in the research in Chungcheong and Jeolla Provinces to complete a self-administered questionnaire from November 25 to December 13, 2019. Appearance satisfaction was positively correlated with self-efficacy and was negatively correlated with job-seeking stress; self-efficacy was negatively correlated with job-seeking stress. The factors affecting job-seeking stress were self-efficacy, appearance satisfaction, and major satisfaction. It would be necessary to develop a practical counseling program targeting the combination of positive appearance acceptance and improvement in self-efficacy on the basis of correct aesthetic values with the objective of reinforcing job-seeking competence intensively among dental hygiene majors.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.6
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• pp.711-718
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• 2019

BDD is a well-known alternative to the conventional Boolean logic method in fault tree analysis. As the size of fault tree increases, the calculation time and computer resources for BDD dramatically increase. A new failure path search and path restructure method is proposed for efficient calculation of CS and MCS from BDD. Failure path grouping and bottom-up path search is proved to be efficient in failure path search in BDD and path restructure is also proved to be used in order to reduce the number of CS comparisons for MCS extraction. With these newly proposed methods, the top event probability can be calculated using the probability by ASDMP(Approximate Sum of Disjoint MCS Products), which is shown to be equivalent to the result by the conventional MCUB(Minimal Cut Upper Bound) probability.

• Stress
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• v.26 no.4
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• pp.259-267
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• 2018

Background: The purpose of this study was to identify the risk factors influencing cognitive function and life satisfaction in elderly living alone. Methods: It was cross-sectional descriptive study by using secondary data from the 2014 national survey of Korean elderly. The study sample consisted of 2,249 subjects who live alone, aged 65 years old and over. Data were analyzed frequency analysis, ${\chi}^2$-test, t-test, ANOVA and Logistic regression analysis. Results: The risk factors that significantly influenced cognitive function were old age, bereavement, lack of education, no regular exercise and low socio-cultural activity satisfaction. The risk factors that significantly influenced life satisfaction were no bereavement, lack of education, no work, negative evaluation of health status, diagnosis of depression and no regular exercise. Also experience of emotional and economical abuse, neglect of financial support and low cognitive function were identified risk factors of life satisfaction. Conclusions: The elderly living alone with risk factors of cognitive decline should be interested. To prevent or delay cognitive impairment, regular exercise and socio-cultural activities were recommended. It was suggested that the promotion of cognitive function, appropriate work and exercise, and social efforts to prevent abuse and neglect can contribute to improving life satisfaction of elderly living alone.

• Journal of Environmental Impact Assessment
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• v.31 no.4
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• pp.265-270
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• 2022

With the implementation of the fox restoration project, the number of foxes released into nature are increasing; therefore, in the future, foxes will be dispersed to other areas and will appear in human habitats. In this study, the habitat suitability index (HSI) of foxes was developed to predict and prepare for the effects. After extracting major environmental variables through literature research and GIS analysis, 5 suitability indices (SIs) were constructed. The forest physiognomy, slope, aspect, distance from water source, and distance from road are the main variables, and the arithmetic average value by giving twice the weight to the forest physiognomy is the HSI result. As a result of comparing with the data from the Natural Environment Survey, it is found that the fox coordinates have an average HSI value of 0.64, and the probability of appearance is high when it is 0.53 or higher. Using the results of this study, it is expected to be able to predict the distribution of foxes in advance, to use them as basic data for future restoration plans, or to identify the distribution of the species and the reduction plan in future environmental impact assessments.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.6
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• pp.36-56
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• 2022

Traffic accidents occur in Korea are calculated with the 「Automobile Accident Negligence Ratio Certification Standard」 prepared by the 'General Insurance Association of Korea' and the insurance company's agreement or judgment is made. However, disputes are frequently occurring in calculating the negligence ratio. Therefore, it is thought that a more effective response would be possible if accident type according to the standard could be quickly identified using traffic accident information prepared by police. Therefore, this study aims to develop a model that learns the accident information prepared by the police and classifies it to match the accident type in the standard. In particular, through data mining, keywords necessary to classify the accident types of the standard were extracted from the accident data of the police. Then, models were developed to derive the types of accidents by learning the extracted keywords through decision trees and random forest models.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.6
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• pp.250-265
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• 2022

Positive effects such as significantly reducing traffic accidents caused by human error can be expected by the introduction of Automated vehicles (AV). However, as new traffic safety issues are expected to occur in the future due to errors in H/W or S/W of autonomous vehicles and lack of its function, it is necessary to establish a scenario to evaluate the driving safety of AV. Therefore, in this study, functional scenario was developed to evaluate the driving safety of AV based on traffic accident data of the National Police Agency. Using the GIS program, QGIS, traffic accident data that occurred in the toll gate and ramp sections of expressway were extracted and accident summary items were checked to classify the types of accident. In addition, based on the results of accident type classification, functional scenario were developed that contains various dangerous situations in the tollgate and ramp sections.