• Journal of Korean Society for Quality Management
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• v.39 no.2
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• pp.329-336
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• 2011

The purpose of Phase I clinical trial is to identify the maximum tolerated dose with specific toxicity rate. The standard TER design does not guarantee the pre-specified toxicity rate. It depends on the dose-toxicity curves. Therefore it is necessary to check the expected toxicity rate of various dose-toxicity curves before we conduct clinical trials. We developed TERAplusB library to help this situation, especially in cancer research. This package will help design the cancer clinical trial. We can compare the expected toxicity rates, the expected number of patients, and the expected times calculated with various dose-toxicity curves. This process will help find the best clinical trial design of the proposed drug.

• International journal of advanced smart convergence
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• v.7 no.4
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• pp.185-196
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• 2018

Based on World Health Organization (WHO) children and adults have a problem with their oral health, such as Dental cavities and periodontal disease. It is not easy to obtain the high convince level of result of the dental and periodontal diseases. Because each of them have different degrees of uncertainty and there have several discounting factors (error rates) in different of survey. To solve this problem we propose the Dezert-Smarandache Theory (DSmT) for efficient combination of uncertain, imprecise and highly conflicting sources of information. Moreover, we apply the SEFP as a context reasoning. Finally, we make the simulation by using 12 surveys and compare Propotional Conflict Redistribution 5 (PCR5) and Dempster-Shafer Theory (DST) to show the belief or probability for the low, a heavy, high and ultra-high risk situation.

• Journal of the Korea Society of Computer and Information
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• v.24 no.2
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• pp.149-155
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• 2019

The purpose of this paper is to design a survey of passenger satisfaction by using the Likert five-scale for the passengers of Incheon International Airport and Beijing Capital International Airport in China, and to combine the actual service situation of the airports in the two countries, using SPSS statistical software. Analyze and process statistics. Using the questionnaire survey method and exploratory factor analysis method, the airport service quality is analyzed to analyze the impact model of customer satisfaction. We will sort out the customer satisfaction with the two airports, compare and analyze the gaps in airport services between the two countries, and identify problems to formulate optimization and improvement plans.

• Journal of Korea Multimedia Society
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• v.21 no.12
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• pp.1387-1395
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• 2018

Core algorithm of deep learning Convolutional Neural Network(CNN) shows better performance than other machine learning algorithms. However, if there is not sufficient data, CNN can not achieve satisfactory performance even if the classifier is excellent. In this situation, it has been proven that the use of transfer learning can have a great effect. In this paper, we apply two transition learning methods(freezing, retraining) to three CNN models(ResNet-50, Inception-V3, DenseNet-121) and compare and analyze how the classification performance of CNN changes according to the methods. As a result of statistical significance test using various evaluation indicators, ResNet-50, Inception-V3, and DenseNet-121 differed by 1.18 times, 1.09 times, and 1.17 times, respectively. Based on this, we concluded that the retraining method may be more effective than the freezing method in case of transition learning in image classification problem.

• Journal of Information Processing Systems
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• v.15 no.4
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• pp.785-796
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• 2019

Due to the view point, illumination, personal gait and other background situation, person re-identification across cameras has been a challenging task in video surveillance area. In order to address the problem, a novel method called Joint Bayesian across different cameras for person re-identification (JBR) is proposed. Motivated by the superior measurement ability of Joint Bayesian, a set of Joint Bayesian matrices is obtained by learning with different camera pairs. With the global Joint Bayesian matrix, the proposed method combines the characteristics of multi-camera shooting and person re-identification. Then this method can improve the calculation precision of the similarity between two individuals by learning the transition between two cameras. For investigating the proposed method, it is implemented on two compare large-scale re-ID datasets, the Market-1501 and DukeMTMC-reID. The RANK-1 accuracy significantly increases about 3% and 4%, and the maximum a posterior (MAP) improves about 1% and 4%, respectively.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.2
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• pp.98-108
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• 2022

In this study, social network analysis was performed to compare and analyze changes in domestic tourism trends before and after the outbreak of COVID-19 in a situation where the damage to the tourism industry due to COVID-19 is increasing. Using Textom, a big data analysis service, data were collected using the keywords "travel destination" and "travel trend" based on the collection period of 2019 and 2020, when the epidemic spread to the world and became chaotic. After extracting a total of 80 key words through text mining, centrality was analyzed using NetDraw of Ucinet6, and clustered into 4 groups through CONCOR analysis. Through this, we compared and analyzed changes in domestic tourism trends before and after the outbreak of COVID-19, and it is judged to provide basic data for tourism marketing strategies and tourism product development in the post-COVID-19.

• International journal of advanced smart convergence
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• v.11 no.3
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• pp.150-156
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• 2022

Recently, the use of Unreal Engine for animation production is increasing. In this situation, Unreal Engine's 'MetaHuman Creator' helps make it easier to apply realistic characters to animation. In this regard, we tried to produce animations using 'MetaHuman' and verify the effectiveness and differences from the animation production process using only Maya software. To increase the efficiency of the production process, the animation process was made with Maya software. We tried to import animation data from Unreal Engine and go through the process of making animations, and try to find out if there are any problems. And we tried to compare animations made with realistic 'MetaHuman' characters and animation works using cartoon-type characters. The use of the same camera lens in realistic character animations and cartoon character animations produced based on the same scenario was judged to be the cause of the lack of realistic animation screen composition. The analysis revealed that a different approach from the existing animation camera lens selection is required for the selection of the camera lens in the production of realistic animation.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.367-370
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• 2015

Building deterioration reflects the degradation of basic building performance including structural performance, energy performance, durability, and safety, and it also includes perceived deterioration, which considers a user-based perspective. More than 50% of the existing buildings in Korea are over 15 years old and public buildings compose 2.5% of all buildings domestically. Therefore, there are several different problems, such as poor energy efficiency, structural performance, and safety. To address the challenges of increasing stock in deteriorated buildings, it is necessary to make decisions about reconstruction or renovation. In this study, we propose a new method to evaluate public building value with a contingent valuation method (CVM). By estimating willing-to-pay (WTP) from users of private buildings in similar situation with the public building, it is possible to compare market prices and calculate a correction factor to adjust the WTP data. Finally, we apply the correction factor to the WTP of a public building and estimate market price, willingness to pay (WTP). Finally, we apply the correction factor to willing to pay (WTP) of public building and estimate market price.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.376-385
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• 2016

This paper aims to understand the conceptual definition and the characteristics of reality shock in new graduate nurses. We analyzed the data using the hybrid model, initially introduced by Schwartz-Barcott and Kim. The data used in this study were collected from six recently graduated nurses who work in S-si and G-si. Another part of the data was obtained from literature review regarding Reality Shock. We categorized Reality Shocks in recently graduated nurses into nine attributes within a three-dimension model. The dimensions include "cognitive", "emotional", and "situational" domains. The cognitive domain is to be aware of the factor that causes Reality Shock. The emotional domain is the negative emotional responses that appear when facing a situation causing Reality Shock. The situational domain is the sort of circumstantial situations that cause Reality Shock. Reality Shock is defined as recently graduated nurses having several negative emotions, such as powerlessness, difficulty in peer relationships, confusion, and pressure due to (i) the differences between reality of nursing and what they have learned in school, (ii) the differences between an ideal situation and the real situation, (iii) the lack of expertise of senior nurses, (iv) a situation without the respect from colleagues, and (v) the overloaded role compare with the expectations. In conclusion, we provide a guideline for establishing a strategy to reduce Reality Shock in recently graduated nurses by identifying the concept of Reality Shock.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.2
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• pp.150-155
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• 2006

This study observes information education of facilities for the disabled. A certain facility for the disabled was selected in Daejeon to compare the educational environment for visually disabled of regular school for visually disabled and facilities for the disabled, and then personnel current situation by age and form of the disabled, teacher current situation by age, computer possessing current situation, weekly education schedule for the disabled, and equipment possessing current situation for visually disabled were observed. As a result, expansion of Braille education was necessary for the Braille skilled, which is the basis of information education information to visually disabled is insufficient, and forming of learning environment was desperate since equipment necessary for computer education was absurdly lacking unlike regular schools. Also, only 10 out of 21 teachers(47%) majored in social welfare or special education, and none majored in computer. It is because support for employment of those who majored social welfare, special education, and computer is insufficient compared to treatment for teachers at general schools at the facility for the disabled since teacher employment regulation at the facility for the disabled is not set. It is studied that providing high-quality of education environment to the disabled was desperate through physical and social treatment that suits nurturing of the professionally knowledge personnel through expansion of equipments and constant education and training based on government support to promote information education of the facility for the disabled.