• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.1
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• pp.142-149
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• 2016

This paper proposes a method to detect LP(License Plate) of vehicles in indoor and outdoor parking lots. In restricted environment, there are many conventional methods for detecting LP. But, it is difficult to detect LP in natural and complex scenes with background clutters because several patterns similar with text or LP always exist in complicated backgrounds. To verify the performance of LP text detection in natural images, we apply MB-LGP feature by combining with ensemble machine learning algorithm in purpose of selecting optimal features of small number in huge pool. The feature selection is performed by adaptive boosting algorithm that shows great performance in minimum false positive detection ratio and in computing time when combined with cascade approach. MSER is used to provide initial text regions of vehicle LP. Throughout the experiment using real images, the proposed method functions robustly extracting LP in natural scene as well as the controlled environment.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.28 no.1
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• pp.100-108
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• 2015

Objectives : This study was planned to examine the enhancing effect of Coptidis Rhizoma mask pack on water, oil contents and skin texture, and to check the possibility of commercialization. Methods : We measured the change of water, oil contents and skin texture before and after the use of Coptidis Rhizoma mask pack. Measuring was conducted twice at an interval of ten days using accurate SK-03 skin analyzer. Measuring site was right and left SI18 and CV24 acupoints. Results : We can examine the improvement of water, oil contents and skin texture on every acupoints measured, except for CV24. On CV24, no difference was observed from water contents of both 1st, 2nd visit, and skin texture of 1st visit. Conclusions : We could confirm the boosting effect of Coptidis Rhizoma mask pack on water, oil contents and skin texture, especially around the SI18 acupoints. We should take follow-up measures to improve the absorption of a liquid herbal medicine around the CV24 acupoint, and heighten the potential for commercialization.

• Journal of Korean Society for Quality Management
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• v.45 no.3
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• pp.561-582
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• 2017

Purpose: The purpose of this study is to share the right conception of win-win partnership innovative activity. This study suggests the desirable methodology to Win-win Partnership. Also, through the in-depth analyzing of the existing problems, we intend to exclude such a formal and erroneous direction of the research. Methods: This study systematically analyzes the best cases of the win-win partnership focusing on the proceedings of the companies participating in the field of win-win Partnership at the national quality-circle contest. Results: This study reveals the underlying problems of win-win partnership innovative activity and draws the conclusion in the way of improvement about the win-win partnership innovative activity. This study also suggests the efficient method of the function and improvement of a system for activating win-win partnership innovative activity. Conclusion: Promoting the effective way of boosting win-win partnership innovative activity, we seek to improve the quality of the product among the companies, and let the a rising curve of the mutual growth continue among the companies by strengthening the competitiveness.

• Journal of the Korean Society of School Health
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• v.19 no.2
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• pp.13-24
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• 2006

Purpose : The purpose of this study was to develop an obese elementary students education program available for blended learning environments, which refered to a combination of ofline and online learning. And it's also intended to verify its efect to bost the eficiency of obese schol children's learning about obesity.Methods : The subjects were 52(experimental group=21, control group=31 ) fourth, fifth and sixth graders who OVA. Results : The obese elementary students education program tailored to blended learning setting wasn't more conducive to lowering the obesity level of the obese students t han the typical obese elementary students education program. But the obese elementary students education was more efective than the typical one in improving the knowle dge of the obese students about obesity, and in enhancing the academic self-eficacy of the children. Conclusion : As the obese elementary students education program tailored to blended learning setting was effective in boosting the relevant knowledge and academic self-efficacy of the children, sustained research efforts should be put into developing obese elementary students education programs available for both online and offline to help students to access information on obesity and manage it better.

• Journal of Korean Elementary Science Education
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• v.31 no.3
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• pp.269-283
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• 2012

The purpose of this study is to further develop the strategies using science magic and investigate the their effects of the instruction on the student's attitude toward science. To do this, a main idea was selected and stages for science teaching methods were developed. Two classes of the 4th grade were selected and instructed. After implementing and using the teaching method, a test and survey were administered to examine the perception of the students and the learning effects of the new science teaching. The results of this study were as follows. First, the strategy for using science magic was developed and applied. For learners, doing science magic was more effective on their own in terms of boosting student's understanding and interest. Also the teacher's modeling was better in terms of presenting the contents. Second, the students' reaction and perception on using the science magic in classes were positive. In the classroom setting, science magic helped the learners understand better and made the learning environment fun. Third, instruction using science magic had a positive effect on student's attitude toward science. Students felt curiosity about science magic. It made them participate better in studying the activity as well. In conclusion, instruction using science magic can be applied to science to education, and the attitudes toward science and learning achievements can be improved.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.5
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• pp.1911-1915
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• 2012

Aim: New technologies for the early detection of pancreatic cancer (PC) are urgently needed. The aim of the present study was to screen for the potential protein biomarkers in serum using proteomic fingerprint technology. Methods: Magnetic beads combined with surface-enhanced laser desorption/ionization (SELDI) TOF MS were used to profile and compare the protein spectra of serum samples from 85 patients with pancreatic cancer, 50 patients with acute-on-chronic pancreatitis and 98 healthy blood donors. Proteomic patterns associated with pancreatic cancer were identified with Biomarker Patterns Software. Results: A total of 37 differential m/z peaks were identified that were related to PC (P < 0.01). A tree model of biomarkers was constructed with the software based on the three biomarkers (7762 Da, 8560 Da, 11654 Da), this showing excellent separation between pancreatic cancer and non-cancer., with a sensitivity of 93.3% and a specificity of 95.6%. Blind test data showed a sensitivity of 88% and a specificity of 91.4%. Conclusions: The results suggested that serum biomarkers for pancreatic cancer can be detected using SELDI-TOF-MS combined with magnetic beads. Application of combined biomarkers may provide a powerful and reliable diagnostic method for pancreatic cancer with a high sensitivity and specificity.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.3
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• pp.273-289
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• 2015

This study examined changes in citation index scores and rankings of thirty-five chemistry faculty members at Seoul National University using different co-authorship credit allocation models. Using 1,436 Web of Science papers published between 2007 and 2013, we applied the inflated, fractional, harmonic, network-based allocation, and harmonic+ models to calculate faculty's h-, R-, and normalization of h- and R- index scores and rankings. The harmonic+ model, which is based on our belief that contribution of primary authors should be the same regardless of collaboration, is designed to minimize the penalty for research collaboration imposed by harmonic and NBA models by boosting the contribution of collaborating primary authors to be on the equal footing with single authors. Although citation rankings by different models are correlated with each other within the same type of citation indicator, rankings of many faculty members changed across models, suggesting the importance of an accurate and relevant authorship credit allocation model in the citation assessment of researchers. The study also found that authorship patterns in conjunction with citation counts are important factors for robust authorship models such as harmonic and NBA, and harmonic+ model may be beneficial for collaborating primary authors. Future research that reexamines the models with updated empirical data would provide further insights into the robustness of the models.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2007.11a
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• pp.439-443
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• 2007

Nowadays, activity recognition becomes a hot topic in context-aware computing. In activity recognition, machine learning techniques have been widely applied to learn the activity models from labeled activity samples. Most of the existing work uses only one learning method for activity learning and is focused on how to effectively utilize the labeled samples by refining the learning method. However, not much attention has been paid to the use of multiple classifiers for boosting the learning performance. In this paper, we use two methods to generate multiple classifiers. In the first method, the basic learning algorithms for each classifier are the same, while the training data is different (ASTD). In the second method, the basic learning algorithms for each classifier are different, while the training data is the same (ADTS). Experimental results indicate that ADTS can effectively improve activity recognition performance, while ASTD cannot achieve any improvement of the performance. We believe that the classifiers in ADTS are more diverse than those in ASTD.

• Journal of Korean Society for Quality Management
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• v.49 no.4
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• pp.641-654
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• 2021

Purpose: One distinctive trend in the recent industrial and technological development has been the change in the structures of industries brought by information technology, boosting the productivity of different sectors. This relation has clearly opened a path for the fourth industrial revolution to reform numerous industrial sectors, including i-fashion sectors. Therefore, in this research, we would like to present the direction of the direction policy for the fusion of the manufacturing industry and the service industry of i-fashion. Methods: In this study, an empirical time series data analysis of machinery investment efficiency and capital investment efficiency of 43 industrial sectors in manufacturing and service was conducted to show their potential and ongoing convergence toward i-fashion. Results: Most impressive as a finding in this research was that those sectors previously underinvested due to a combination of technological and financial reasons found an exit for growth. In textile and apparel sectors, that could be the i-fashion. Conclusion: One strong implication of this study is that sectoral level convergence based on technology and industry is occurring, and i-fashion is one of the industrial convergence case to be observed.

• The Journal of Korean Academic Society of Nursing Education
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• v.25 no.1
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• pp.148-158
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• 2019

Purpose: This study is a descriptive study to explore the effects of work performance, perceived organization support, and personal coping resources on job satisfaction of infusion nurses in Korea. Methods: The participants of this study were 155 infusion nurses in 19 general hospitals and advanced general hospitals in Korea. Data were collected from January to March 2018 using a structured questionnaire and analyzed with the SPSS software version 23. Results: The participants' job satisfaction score was 3.01, their work performance score was 3.60, their perceived organization support score was 2.83, and their personal coping resources score was 3.53. The regression model for job satisfaction was significant (F=56.10, p<.001), and the total explanatory power was 52%. The variables affecting job satisfaction were personal coping resources (${\beta}=.44$, p<.001), perceived organization support (${\beta}=.42$, p<.001), and working locations (${\beta}=.13$, p=.028). Conclusion: To increase job satisfaction of infusion nurses, boosting strategies for personal coping resources, perceived organization support, and examination of work performance characteristics of each local area should be considered. In addition, development of customized programs is needed, focusing on infusion nurse personnel and job characteristics.