• Journal of Digital Contents Society
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• v.16 no.5
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• pp.671-680
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• 2015

The Joint Bayesian[1] method was published in 2012. Since then, it has been used for binary classification in almost all state-of-the-art face recognition methods. However, no improved methods have been published so far except 2D-JB[2]. In this paper we propose an improved version of the JB method that considers the features of both the given face image and its mirror image. In pattern classification, it is very likely to make a mistake when the value of the decision function is close to the decision boundary or the threshold. By making the value of the decision function far from the decision boundary, the proposed method reduces the errors. The experimental results show that the proposed method outperforms the JB and 2D-JB methods by more than 1% in the challenging LFW DB. Many state-of-the-art methods required tons of training data to improve 1% in the LFW DB, but the proposed method can make it in an easy way.

• Analytical Science and Technology
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• v.11 no.1
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• pp.36-41
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• 1998

A gas chromatography-mass spectrometry method for the determination of 5-fluorourasil in human plasma is described. The method involves a single extraction procedure with 10 ml of isopropanol-ether(20:80) solution and pentafluoro-benzylation. Samples were injected using an automatic injector, followed by separation on a nonpolar capillary column and detection with a mass selective detector(MSD). No endogeneous compounds were found to interfere. The detection limit, based upon an assayed plasma volume of 0.5, was 3 ng/ml. The extraction yield was found to be above 80%. Plasma 5-FU concentrations were determined by this method in about 500 plasma samples from cancer patients undergoing treatment with 5-FU. This method is suitable for monitoring of 5-FU in plasma of cancer patients.

• The KIPS Transactions:PartA
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• v.9A no.4
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• pp.603-614
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• 2002

Delivery efficiency of e-learning media can be influenced by authoring processes. Generally, a moving picture recorded by video camera can be delivered to student by multimedia streaming service, using media server technology. A e-learning media authored by lecture authoring tool is played in a student application by download-based delivery system. Recently, some animation know-how are applied to author e-learning media by hand-operation. In this paper, we suggest a client-based streaming service for the e-leaning media consists of media files and integration data The lecture of e-learning media nay be divided into some time-based small blocks. Each blocks can be located distributed site. The student system gather those blocks by download-scheduling. This is a valid method for QoS guarantee streaming services. In addition to our study, lecturers can author composite e-learning media includes media files and dynamic web pages simply, The distributed e-learning media files of our study is managed by multi-author and updated rapidly.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.9
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• pp.2253-2260
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• 2009

The typical distribution systems have the power flow from distribution substations (sources) to customers (load) only as one direction. However, in the case where new energy power sources are connected to distribution systems, the output variations of new energy sources to distribution systems, which is so called reverse power flow, may cause the bi-directional power flow. So, the reverse power flow has severe impacts on typical power system, for example power quality problems, protection coordination problems, and so on. Therefore, this paper proposes the algorithm for Multi-functional protection devices in distribution systems in the case where new energy sources are interconnected. The proposed algorithm is verified to show the effectiveness by simulating and experimenting the prototype systems.

• Journal of Convergence for Information Technology
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• v.9 no.12
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• pp.88-97
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• 2019

This study was conducted to identify factors affecting patient safety management (PSM) of nursing student's who have experienced clinical practice. The study subjects were 232 nursing students in five universities in five cities. Data were collected between June 17 and July 30, 2019 using by completing structured self report questionnaires. Data were analyzed using T-test, ANOV A, Pearson's correlation coefficient, and multiple regression using SPSS/WIN 22.0. In correlation ana lysis, significant positive correlations were found between PSM practice, PSM importance awareness (r= .42, p<.001), PSM knowledge(r= .29, p<.001), and PSM attitude(r= .35, p<.001). In multiple regressi on analysis, PSM importance awareness(β=.19, p<.001) was factor predicting PSM practice of nursing students, which explained 36.2% of the variance in the model. Thus, we emphasize that continuing PSM education at the university is required to improve PSM competency.

• Journal of Convergence for Information Technology
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• v.9 no.10
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• pp.64-70
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• 2019

In this study, the effect of customer relationship management on the management performance of productive welfare institutions was to be analyzed empirically. For this study, data were collected from 129 participants of productive welfare institutions in Busan. The results of this study are as follows. First, contact services and communication have a statistically significant impact on the financial performance of productive welfare institutions. Second, contact services and communication have a statistically significant impact on non-financial performance of productive welfare institutions. Based on the results of this study, the following suggestions are made. First, institutionalization of CS(customer service) education should be carried out in order to improve the management performance of productive welfare institutions. Second, participants' emotional support programs are needed to improve the management performance of productive welfare institutions.

• Journal of Convergence for Information Technology
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• v.11 no.3
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• pp.95-106
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• 2021

The study is a descriptive research to determine how female university students' life patterns have an effect on dysmenorrhea and to provide the basis about healthy care programs through changing life patterns. We collected 133 data female university students who have dysmenorrhea attending J university. The study period lasted two weeks, going from Nov 18 to Nov 29, 2019. As a result of this study, the correlated factors of dysmenorrhea included dietary habits(r=-.441, p<.001), salt-related dietary(r=-.214, p=.013). The prevalent factors influencing dysmenorrhea are dietary hibits(β=-.457), smoking(β=.175), and phone calls(<2 hours)(β=.163).Therefore, it will be needed patterns of healthy lifestyle including positive dietary habits, non-smoking, phone calls (less than 2 hours) to relieve female university students' dysmenorrhea through education and training.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.1-16
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• 2022

The current AI technology has been developing rapidly enough to realize or even exceed the level of abilities that only humans had in the past. In the near future, it is predicted that humans and AI will influence each other as members of the metaverse society. Therefore, this study emphasizes the importance of empathy as a core competency for humans to pursue happiness while maintaining the dignity of humans in the era when AI and humans will coexist in the metaverse. In this study, 'Digital Human Empathy Index (DHEI)' is developed that reflects the social nature of computer-mediated communication in the metaverse As a result, DHEI consisted of a total of 7 factors, which are Perspective Taking, Self/Other Awareness, Contextual Understanding of Systemic Barriers, Impact Assessment, Solidarity, Being Peaceful, and Anthropomorphism. This study is expected to contribute to setting the direction of future education by suggesting a new measure of empathy.

• The Transactions of the Korea Information Processing Society
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• v.13 no.9
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• pp.460-467
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• 2024

Targeted career development is critical for student success but is often lacking for underrepresented students at many public higher-education institutions due to insufficient career counseling resources. We propose an innovative career development tool leveraging Large Language Models (LLMs) to enhance student career prospects through three steps: (1) identifying relevant jobs by analyzing resumes, (2) pinpointing skill gaps using external resources such as classroom assignments, in addition to resumes, and (3) suggesting customized learning paths. Our tool accurately matches jobs in real-world settings, identifies true skill gaps while reducing false positives, and provides learning paths that receive high satisfaction scores from faculty. Future research will enhance the solution's capabilities by incorporating diverse external resources and leveraging advancements in LLM technology to better support early-stage career seekers.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.7
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• pp.4279-4289
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• 2014

This study examined the health status and relative factors of 468 people of the latter stage of more than 75-year-old in 2011 the Korean National Health and Nutritional Examination Survey. The subjective health status were influenced significantly by sex(OR=0.456, 95%CI=0.257-0.805), occupation(OR=1.437, 95%CI=0.963-2.149), spouse(OR=0.673, 95%CI=0.443 -1.022), degree of stress(OR=0.476, 95% CI=0.309-0.730), depression(OR=0.410, 95% CI=0.238-0.704), subjective oral status(OR=1.874, 95% CI=1.332-2.643), smoking(OR=0.738, 95% CI= 0.523-1.039), drinking(OR=1.251, 95% CI=1.017-1.540), and waking practice(OR=1.698, 95% CI=1.188 -2.431). The results suggest that health education of active participations and publicity policies should be established and help improve the subjective health status in the latter stage of a 75-year-old.