• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.5012-5018
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• 2011

According to the nationwide survey of tuberculosis from 1965 to 1995, the incidence and drug resistance rate of tuberculosis have been decreased in Korea, but the prevalence of multidrug resistance of Mycobacterium tuberculosis is still a serious problem. The purpose of this study is to investigate the drug resistance rate and pattern of tuberculosis in Daejeon from 2001 to 2008. Of the total 581cases where the drug susceptibility test was performed, resistance to at least one anti-TB drug was found in 104 cases(17.9%) of these, 68(11.7%) were resistant to at least INH and 41(7.1%) were resistant to at least RFP. Single-drug resistance was found for isolates from 37(6.4%) ; 18(3.1%) of these were resistant to INH and 5(0.9%) to RFP. Multidrug resistance, where TB was resistant to at least isoniazid and refampin, was found in 35 cases(6.0%). and Factors associated with MDR-TB included age under 40-60.The drug-resistance rate of pulmonary TB, especially MDR-TB, is higher in the initial treated patients at a private referral hospital than in those in the pubulic sector. Initial drug resistance is common and the drug susceptibility test is informative for pulmonary TB patients who have not received previous TB treatment. The need for an improved control program, coupled with early diagnosis of MDR-TB, to reduce the spread and development of resistance. Multidrug resistance rate is still problem in korea. Efforts to decrease multidrug resistance rate either independently or in cooperation with the pubulic sector will be needed.

• PNF and Movement
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• v.18 no.1
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• pp.1-10
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• 2020

Purpose: This study was conducted to examine the effects of a PNF intervention using elastic bands on edema, range of motion (ROM), and pain in post-mastectomy patients with upper limb lymphedema, according to their hand grip type. Methods: The subjects were 14 female patients who were at Stage II lymphedema after undergoing mastectomy for Stage II breast cancer. They were randomly divided into an experimental group (n =7) and a control group (n = 7). Both groups participated in a treatment program four times (one time under the therapist's instructions and three times as self-exercise) a week for 4 weeks. Both groups repeated an upper limb PNF pattern exercise for 30 min using elastic bands after receiving a manual lymph drainage treatment for 1 hour. Here, subjects in the experimental group performed the PNF exercise with an open-hand grip by putting their hands into the loops of elastic bands and keeping their fingers spread out. Subjects in the control group performed the PNF exercise with a closed-hand grip by holding the loops of elastic bands with their fingers. In both groups, the subjects' edema, ROM, and pain levels were measured before the intervention and 2, 3 and 4 weeks after the intervention. Results: As a result of the experiment, both groups demonstrated edema reductions, ROM increases, and pain reductions in four areas of the upper limbs. Notably, the experimental group exhibited larger ROM increases in flexion, extension, and abduction as well as greater edema and pain reductions than the control group. In particular, the most significant effects were found in the elbow of the four upper limb areas for edema reductions and in extension for ROM increases. Conclusion: The present study indicates that exercise therapy-based approaches using elastic bands in post-mastectomy patients with upper limb lymphedema can have different effects depending on the type of hand grip (open or closed), which is the body's most distal part. Therefore, these approaches should be based on the conditions of the distal parts of the patient's body for their effective applications in clinical practice.

• Journal of the Society of Disaster Information
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• v.17 no.4
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• pp.674-683
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• 2021

Purpose: The purpose of this study is to examine the changes in the pattern of crimes caused by the spread and slowdown of coronavirus infections and to devise preventive and countermeasures against various crimes in the future. Method: In order to find out the characteristics of each crime in the non-face-to-face and face-to-face environment, the results of previous prior research and data officially released by the National Police Agency and the prosecution office were compared and analyzed. Result: In the early epidemic of infectious diseases, overall crime has decreased, and civil life-related crimes and crimes targeting the socially disadvantaged are increasing. In the second half of the infectious disease, unlike the first half, the prolonged corona caused the economic recession and unemployment, deepening the damage from illegal private finance and significantly increasing illegal gambling game crimes. Conclusion: According to the time of the outbreak of the COVID-19 pandemic, the quarterly crime characteristics showed that there was a difference in crime type and crime increase and decrease rate, and that crime response measures should be changed accordingly.

• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.332-344
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• 2019

Based on the life of the furniture is to reflect a region and the important basis of ideological and cultural characteristics of The Times culture form the traditional concept of directly determine the style and features of furniture. Due to the geographical location, China and the Korean peninsula have a long history of cultural exchanges. Through long-term exchanges, Chinese traditional culture has penetrated into the daily life of the ancestors of the Korean peninsula in various ways. As one of the traditional Chinese cultures, Taoism began to spread in The Three Kingdoms period on the Korean peninsula. With the integration and development of Taoism on the Korean peninsula, Taoism culture with unique characteristics of the peninsula was formed and became part of the traditional ideological and cultural life of the ancestors on the peninsula. In the historical development of furniture on the Korean peninsula, Taoist theories such as yin-yang theory and five-element theory and geomantic geography theory have exerted an important influence on the use, shape, material and pattern of traditional furniture on the Korean peninsula. The late period of the joseon dynasty was the heyday of the handicraft industry on the Korean peninsula. During this period, the categories of furniture increased, and a large number of furniture with distinctive Taoist characteristics, beautiful shape, excellent design and different uses appeared. Through the study on the modeling, materials, patterns, seals and designs of furniture in the late period of joseon dynasty, this study confirms that Taoist thoughts are one of the main factors affecting the development of Korean traditional furniture forms and patterns. Using patterns of various natural objects or plants and animals for furniture design, it is to pray for family members to avoid disasters and disasters. Thus it can be seen that praying for blessings from heaven is the main Taoist thought.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.6
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• pp.571-585
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• 2021

Various studies have analyzed urban decline at a universal level using the general characteristics of declining cities. However, urban decline at the city level should be considered because this decay occurs based on the unique attributes of a particular city. In addition, since this phenomenon occurs and spreads in microspaces, studies should consider smaller spatial units continuously. This study aims to develop an urban decline measurement model that considers regional characteristics to analyze the urban decline of Ulsan Metropolitan City over time and space. The index value of Ulsan, compared to the national average, is calculated and reflected in the weight to reflect regional characteristics in the model. In addition, after analyzing urban decline by administrative dong units, we also performed analysis by counting district units using spatial hierarchical structure to demonstrate evaluation on smaller unit spaces. As a result of analyzing urban decline patterns by associating the index calculated using the model with the social phenomenon of Ulsan Metropolitan City, urban decline formed clusters and spread to adjacent regions over time. In addition, results confirmed that external factors such as new towns and urban regeneration projects affect urban decline. By illustrating the degree of urban decline proposed measurement model used in this study, it is possible to present the priority of areas required for urban regeneration projects. Results are also helpful to test the effectiveness of completed or presently-implemented urban regeneration projects.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.13-23
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• 2022

In this paper, we propose a detailed component image classification algorithm by fashion item for unstructured data retrieval in the fashion field. Due to the COVID-19 environment, AI-based online shopping malls are increasing recently. However, there is a limit to accurate unstructured data search with existing keyword search and personalized style recommendations based on user surfing behavior. In this study, pre-processing using Mask R-CNN was conducted using images crawled from online shopping sites and then classified components for each fashion item through CNN. We obtain the accuaracy for collar of the shirt's as 93.28%, the pattern of the shirt as 98.10%, the 3 classese fit of the jeans as 91.73%, And, we further obtained one for the 4 classes fit of jeans as 81.59% and the color of the jeans as 93.91%. At the results for the decorated items, we also obtained the accuract of the washing of the jeans as 91.20% and the demage of jeans accuaracy as 92.96%.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.39-48
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• 2022

The main purpose of the work is to analyze modern innovative educational practices in the field of culture and art and their effectiveness in the context of the spread of digitalization trends. The study used general scientific theoretical methods of analysis, synthesis, analogy, comparative, induction, deduction, reductionism, and a number of others, allowing you to fully understand the pattern of modern modernization processes in a long historical development and demonstrate how the rejection of the negativity of progress allows talented artists to realize their own potential. The study established the advantages and disadvantages of involving innovative technologies in the educational process on the example of European experience and outlined possible ways of implementing digitalization processes in Ukrainian institutions of higher education, formulated the main difficulties encountered by teachers and students in the use of technological innovation in the pandemic. The rapid development of digital technologies has had a great impact on the sphere of culture and art, both visual, scenic, and musical in all processes: creation, reproduction, perception, learning, etc. In the field of art education, there is a synthesis of creative practices with digital technologies. In terms of music education, these processes at the present stage are provided with digital tools of specially developed software (music programs for composition and typing of musical text, recording, and correction of sound, for quality listening to the whole work or its fragments) for training programs used in institutional education and non-institutional learning as a means of independent mastering of the theory and practice of music-making, as well as other programs and technical tools without which contemporary art cannot be imagined. In modern stage education, the involvement of video technologies, means of remote communication, allowing realtime adjustment of the educational process, is actualized. In the sphere of fine arts, there is a transformation of communicative forms of interaction between the teacher and students, which in the conditions of the pandemic are of two-way communication with the help of information and communication technologies. At this stage, there is an intensification of transformation processes in the educational industry in the areas of culture and art.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.322-330
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• 2022

With the development of media, modern times are actively exchanging cultures and information around the world. Therefore, product development using traditional material, which are Korean cultural heritages, can be said to be another medium that can promote our unique culture to the world. Therefore, this study attempted to develop a product suitable for the modern lifestyle that combines tradition and modernity by investigating and analyzing Korean roof tiles and applying the formative elements identified as a result of the study. Among the types of roof tiles, a Sumaksai, which is located on the front of the roof and stands out for decoration, was selected as the subject of the study, and it was developed by combining it with lighting and plates as an item for modern people seeking a life full of personality. In product development, we tried to express the traditional style as it is by making the most of the elements of the Sumaksai, and the lotus pattern, which was most commonly used in each era when roof tiles were made, was simplified and applied to the product. As the products developed in this way are used in our daily lives, we hope that users' interest in ours will increase, and that the development of various products through research on traditional material can be activated as a way to spread our culture around the world.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.41-46
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• 2023

Human urine is a process of excreting waste products in the blood, and it is easy to collect and contains various substances. Urinalysis is used to check for diseases, health conditions, and urinary tract infections. There are three methods of urinalysis: physical property test, chemical test, and microscopic test, and chemical test results can be easily confirmed using urine test strips. A variety of items can be tested on the urine test strip, through which various diseases can be identified. Recently, with the spread of smart phones, research on reading urine test strips using smart phones is being conducted. There is a method of detecting and reading the color change of a urine test strip using a smartphone. This method uses the RGB values and the color difference formula to discriminate. However, there is a problem in that accuracy is lowered due to various environmental factors. This paper applies a deep learning model to solve this problem. In particular, color discrimination of a urine test strip is improved in a smartphone using a lightweight CNN (Convolutional Neural Networks) model. CNN is a useful model for image recognition and pattern finding, and a lightweight version is also available. Through this, it is possible to operate a deep learning model on a smartphone and extract accurate urine test results. Urine test strips were taken in various environments to prepare deep learning model training images, and a urine test service application was designed using MobileNet V3.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.4
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• pp.179-188
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• 2023

Recently, fake news disguises the form of news content and appears whenever important events occur, causing social confusion. Accordingly, artificial intelligence technology is used as a research to detect fake news. Fake news detection approaches such as automatically recognizing and blocking fake news through natural language processing or detecting social media influencer accounts that spread false information by combining with network causal inference could be implemented through deep learning. However, fake news detection is classified as a difficult problem to solve among many natural language processing fields. Due to the variety of forms and expressions of fake news, the difficulty of feature extraction is high, and there are various limitations, such as that one feature may have different meanings depending on the category to which the news belongs. In this paper, emotional change patterns are presented as an additional identification criterion for detecting fake news. We propose a model with improved performance by applying a convolutional neural network to a fake news data set to perform analysis based on content characteristics and additionally analyze emotional change patterns. Sentimental polarity is calculated for the sentences constituting the news and the result value dependent on the sentence order can be obtained by applying long-term and short-term memory. This is defined as a pattern of emotional change and combined with the content characteristics of news to be used as an independent variable in the proposed model for fake news detection. We train the proposed model and comparison model by deep learning and conduct an experiment using a fake news data set to confirm that emotion change patterns can improve fake news detection performance.