• The Journal of Pediatrics of Korean Medicine
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• v.15 no.1
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• pp.229-234
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• 2001

This article summarizes the present developing conditions and achievements in pediatrics of traditional Chinese medicine (TCM) at basic medicine, clinical medicine and preventive medicine in recent fifty years. The author thinks that the strategy goal of the development of TCM pediatrics is modernization. In the future certain years, culturing persons of ability in all kinds of administrative levels and using modern science and techniques are very necessary. In the aspect of the background of TCM pediatrics, childrens physiology and pathology characteristic, pharmacodynamics, making the four diagnostic methods objective, combining macro differentiation with micro differentiation, reforming the preparation form should be intensively researched. In the aspect of clinic, in order to improve curative effect, accumulate materials, we should go deep into the research on virus diseases, immunity diseases, nutritional diseases and neonatal diseases by taking advantage of the superiority of TCM.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2002.06a
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• pp.170-176
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• 2002

Java language is a representative object-oriented language that is used at the various platform and fields. A structure of java language is simpler than traditional procedural-oriented language because of characters of object-oriented language But it is difficult to debug complicated java programs. Debugging has always been a costly part of software development. Syntax errors of java programs is easily found by the current debugging system. But it is difficult to locate logical errors included in java programs. Traditional debugging techniques locating logical errors in java program have been still used with conventional methods that are used at procedural-oriented languages. Unfortunately, these traditional methods are often inadequate for the task of isolating specific program errors. Debugger users may spend considerable time debugging code of program development with sequential methods according as program size is large and is complicated. It is important to easily locate errors included in java program in the software development. In this paper, we apply algorithmic debugging method that debugger user can easily debug programs to java program. This method executes a program and makes an execution tree from calling relation of functions. And it locates errors at the execution tree. So, Algorithmic debugging method can reduce the number of debugging than conventional sequential method.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.90-99
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• 2017

Sports climbing requires repeated movements within a limited space, which may cause climbers to lose their constant interest in it. Furthermore, it is important that coaches should give lessons focusing on demonstrations to make sure that learners can understand the movements on their own, However, in traditional sports climbing lessons, they give instructions on almost every movement of learners' hands and feet. Hence, there have been constant calls for replacing these existing sports climbing lessons and presenting new methods to ensure that learners can observe their coaches' demonstrations in real time and emulate them. An introduction of the image training using spatial augmented reality techniques to solve these problems may have a positive effect on the improvement of learners' motor skills and attitudes toward lessons. This study aims to verify the effectiveness of the Climbing Character Animation (CCA) as a learning tool for sports climbing. To achieve this research objective, it applied it to actual sports climbing to verify its utility. As a result, it was shown that the lessons using spatial augmented reality-based CCA had a higher effectiveness than traditional sports climbing lessons in the degree of interest inducement, emersion and learning effects.

• The Research Journal of the Costume Culture
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• v.30 no.1
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• pp.66-87
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• 2022

This study explores the possibility of creating new experimental hanbok designs by accommodating the latest world fashion trends and the changing needs of consumers, in order to attempt to overcome the limitations of traditional Korean fashion design. To do so, We analyze works by contemporary Korean fashion designers to investigate current developments in Korean fashion design and to identify areas of improvement within hanbok design. The results show that most contemporary hanbok designs repeat stereotypes of traditional hanbok with minor modifications. So there arises a need to create new hanbok designs that are clearly distinct from traditional hanbok but also maintain its core features. To develop such designs, I apply the techniques of deconstruction fashion, which allow making experiments with form, composition, and materials use to realize new aesthetics. The use of CLO 3D fashion design software also proves to be very efficient for developing experimental designs. The study results make meaningful contributions to the development of virtual clothing and 3D fashion for hanbok, particularly as metaBUS, a cloud-based research synthesis platform, is rapidly gaining ground, and reality and virtual reality are increasingly mixed in everyday life. This attempt at 3D design of hanbok is expected to trigger more creative experimentation in hanbok design.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.12
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• pp.1904-1913
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• 2021

With the proliferation of smart phones and the development of IoT technology, it has become possible to collect personal data for public purposes. However, users are afraid of voluntarily providing their private data due to privacy issues. To remedy this problem, mainly three techniques have been studied: data disturbance, traditional encryption, and homomorphic encryption. In this work, we perform simulations to compare them in terms of accuracy, message length, and computation delay. Experiment results show that the data disturbance method is fast and inaccurate while the traditional encryption method is accurate and slow. Similar to traditional encryption algorithms, the homomorphic encryption algorithm is relatively effective in privacy preserving because it allows computing encrypted data without decryption, but it requires high computation costs as well. However, its main cost, arithmetic operations, can be processed in parallel. Also, data analysis using the homomorphic encryption needs to do decryption only once at any number of data.

• Safety and Health at Work
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• v.13 no.3
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• pp.326-335
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• 2022

Background: One of the important actions for enhancing human reliability in any industry is assessing human error probability (HEP). The HEART technique is a robust tool for calculating HEP in various industries. The traditional HEART has some weaknesses due to expert judgment. For these reasons, a hybrid model is presented in this study to integrate HEART with Best-Worst Method. Materials Method: In this study, the blasting process in an iron ore mine was investigated as a case study. The proposed HEART-BWM was used to increase the sensitivity of APOA calculation. Then the HEP was calculated using conventional HEART formula. A consistency ratio was calculated using BWM. Finally, for verification of the HEART-BWM, HEP calculation was done by traditional HEART and HEART-BWM. Results: In the view of determined HEPs, the results showed that the mean of HEP in the blasting of the iron ore process was 2.57E-01. Checking the full blast of all the holes after the blasting sub-task was the most dangerous task due to the highest HEP value, and it was found 9.646E-01. On the other side, obtaining a permit to receive and transport materials was the most reliable task, and the HEP was 8.54E-04. Conclusion: The results showed a good consistency for the proposed technique. Comparing the two techniques confirmed that the BWM makes the traditional HEART faster and more reliable by performing the basic comparisons.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.875-883
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• 2023

In Korea, the number of preservation and management entities to connect the traditional cultural heritage to next generations is rapidly decreasing. Building an infrastructure to pass on traditional cultural heritage to the next generation and to pay attention to the preservation and management of the next generation is important including the 'Seowon', a World Cultural Heritage listed by UNESCO. This study is based on the laws that regulates the preservation and support of traditional cultural assets and 'Seowon, through Big Data analysis techniques. The main keywords in each law were extracted, schematized, and a mutual Word Network was constructed and policy advice was derived. As policy advice, it is necessary to establish and implement policies to nurture and support businesses specialized in the region for the preservation·utilization, preservation·management and preservation·support of Seowons.

• Journal of The Korean Society of Agricultural Engineers
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• v.66 no.4
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• pp.27-39
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• 2024

Soil texture is determined by the proportions of sand, silt, and clay within the soil, which influence characteristics such as porosity, water retention capacity, electrical conductivity (EC), and pH. Traditional classification of soil texture requires significant sample preparation including oven drying to remove organic matter and moisture, a process that is both time-consuming and costly. This study aims to explore an alternative method by developing an AI model capable of predicting soil texture from images of pre-sorted soil samples using computer vision and deep learning technologies. Soil samples collected from agricultural fields were pre-processed using sieve analysis and the images of each sample were acquired in a controlled studio environment using a smartphone camera. Color distribution ratios based on RGB values of the images were analyzed using the OpenCV library in Python. A convolutional neural network (CNN) model, built on PyTorch, was enhanced using Digital Image Processing (DIP) techniques and then trained across nine distinct conditions to evaluate its robustness and accuracy. The model has achieved an accuracy of over 80% in classifying the images of pre-sorted soil samples, as validated by the components of the confusion matrix and measurements of the F1 score, demonstrating its potential to replace traditional experimental methods for soil texture classification. By utilizing an easily accessible tool, significant time and cost savings can be expected compared to traditional methods.

• Computers and Concrete
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• v.33 no.4
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• pp.341-348
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• 2024

Ultra-high-performance concrete (UHPC) has received remarkable attentions in civil infrastructure due to its unique mechanical characteristics and durability. UHPC gains increasingly dominant in essential structural elements, while its unique properties pose challenges for traditional inspection methods, as damage may not always manifest visibly on the surface. As such, the need for robust inspection techniques for detecting cracks in UHPC members has become imperative as traditional methods often fall short in providing comprehensive and timely evaluations. In the era of artificial intelligence, computer vision has gained considerable interest as a powerful tool to enhance infrastructure condition assessment with image and video data collected from sensors, cameras, and unmanned aerial vehicles. This paper presents a computer vision-based approach employing deep learning to detect cracks in UHPC beams, with the aim of addressing the inherent limitations of traditional inspection methods. This work leverages computer vision to discern intricate patterns and anomalies. Particularly, a convolutional neural network architecture employing transfer learning is adopted to identify the presence of cracks in the beams. The proposed approach is evaluated with image data collected from full-scale experiments conducted on UHPC beams subjected to flexural and shear loadings. The results of this study indicate the applicability of computer vision and deep learning as intelligent methods to detect major and minor cracks and recognize various damage mechanisms in UHPC members with better efficiency compared to conventional monitoring methods. Findings from this work pave the way for the development of autonomous infrastructure health monitoring and condition assessment, ensuring early detection in response to evolving structural challenges. By leveraging computer vision, this paper contributes to usher in a new era of effectiveness in autonomous crack detection, enhancing the resilience and sustainability of UHPC civil infrastructure.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.6 s.165
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• pp.985-996
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• 2007

The purpose of this study is to analyze the symbolism of traditional Korean patterns which reflect an emotional cultural background of Korean people, to apply modernized and developed patterns to Textile Design for fashion cultural products, and to explore productive direction of developing designs of fashion cultural products. The process of developing Textile Design of fashion cultural products which applied symbolism of traditional Korean patterns was conducted as follows. Firstly, based on '05 S/S-'07 S/S fashion trends, a design concept wat decided(man-urban ethnic style, woman-romantic ethnic style). Secondly, motive was abstracted from selected traditional patterns to develop into modem patterns. Thirdly, items were selected according to symbolic meaning of traditional Korean patterns. Man's items included shirts, necktie, and handkerchief which were highly preferred by Korean and foreign visitors. Finally, developed textile designs were diagrammed by item using textile CAD and an illustrator 10 and presented as images. The following results were obtained. First, textile designs for fashion cultural products, in which apply traditional patterns may reflect the understanding of traditional aesthetic beauty and philosophical approach by applying symbolic significance inherent in patterns as well as the aesthetics of the patterns. Second, traditional patterns have been recognized as old fashioned to consumers because they have been often used for traditional handicrafts or folk products. If their unique shapes are changed or simplified, emphasizing images, and trend styles and colors are used, they will be recreated as a modem design. Third, textile designs using traditional patterns may provide various images and visual effects according to techniques and production methods. Then, the method will be applied to many items. Finally, since traditional patterns in fashion cultural products can be used as our unique design elements, they can be utilized as the source of design inspiration for the development of value-added products.