• Journal of Digital Convergence
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• v.20 no.5
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• pp.833-846
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• 2022

This study was conducted to identify nutrition knowledge, eating behaviors, and the need for an integrated program to improve eating behaviors according to residential type of female college students. Data were collected from March 16 to April 16, 2021, using online self-report questionnaires and the final 217 data were used. To analyze data, frequencies and percentages, means and standard deviations, independent sample t-test, and ANOVA were conducted using SPSS WIN 26.0. The results showed that home residents had better eating behaviors than those living in rented rooms. Moreover, the demand for an integrated eating behavior improvement program for disease and health information topic was higher among home residents and participants in rented rooms than among those living in dormitories. When developing an integrated program for improving eating behaviors among female college students, it is essential to apply a differentiated intervention program that considers residential type.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.507-516
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• 2022

The purpose of this study was to examine the factors influencing on the smartphone usage time according to the happiness perceived by adolescents. This study underwent the approval procedure for using the raw data of the 13th (2017) Adolescents' Health Behavior Online Survey through the homepage of Korea Centers for Disease Control and Prevention and selected 54,603 persons of 12-18 age groups as subjects of the study. The analysis was performed after generating a complex sample plan file by assigning weights using the IBM SPSS 23.0 program. There were significant differences in general characteristics and physical & psychological characteristics according to the use of the smartphone in the happy group and the unhappy group (p<.05). And there was a statistically significant difference in factors affecting smartphone usage time between the group of adolescents who perceived as happy and the group who perceived themselves as unhappy. It is necessary to improve the quality of life by increasing the level of happiness through the correct use of smartphones among adolescents.

• Journal of Digital Convergence
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• v.22 no.1
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• pp.23-32
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• 2024

This study selected in-depth discharge damage survey data and analyzed 92,364 patients whose main diagnosis was S00-T98 (damage, addiction, and specific other results due to external factors) based on the Korean Standard Classification of Diseases and Deaths (KCD-7th) among patients discharged from the hospital after inpatient treatment from January 2016 to December 2018. As a result of analyzing the general characteristics of injured and traumatic patients, the incidence rate of men was higher in gender, and the incidence rate of women increased as the year increased. As a result of analyzing the characteristics of injury and trauma patients other than injury, the injury intention had a high rate of unintentional damage, the damage place was the highest on the road/road, and it showed a decreasing trend as the year increased, and it showed an increasing trend in the residential area. It can be used as basic data for the establishment of a related system to prevent damage as a result of subsang.

• The KIPS Transactions:PartB
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• v.15B no.5
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• pp.397-406
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• 2008

Despite the effectiveness of oriental medical practice in the diagnosis of symptoms and providing cure to it, the preferences in western medicinal values is socially prevalent. The diagnosis of a disease using western medicinal practices provides us with an objective diagnostic result, however, decisions by oriental doctors are based on their heuristic intuitions developed by practice and experience. Objective solutions for the cure of symptoms using oriental medical therapy can have a high impact on the world market. Therefore, development of diagnostic machines based on oriental therapy can enhance the Ocular Inspection which is evaluated as one of the best diagnostic treatment among Oriental Medical Science, is not researched much compared to other diagnoses. Because there is no color diagnosis rules for digital machines to analyze the actual color, looking at the person's face color is one of the most important components to diagnose the disease or illness. The thesis proposes the implementation of absolute observing a person's face color standards of the color settings for objective diagnosis. As a results, comparative digital color analysis for observing a person's face color can be the most effective rule based Color scheme system to diagnose disease. A standard solution for the researching conditions is suggested to reduce the variable which may occur depending on the differences between the researching conditions.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.2C
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• pp.184-191
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• 2008

Oriental base diagnosis method is not going to hospital different from Oriental medicine and because of the possible disease diagnosis through the network and many communication equipment. Especially diagnosis development using ocular inspection method aspect of Oriental medicine among an aging society advance into cut the medical cost for contribution. Ocular inspection method the most important look at disease color that is Observing a Person's Shape and Color which is implementation the development of methodology and important the build of application ability system. So in this paper study observing a person's shape and color implementation of ocular inspection. Specially body's the five viscera presentate the five colors disease color in face that is important the color coordinate system thesis so that proceed the experiment for the color coordinate system analysis. Finally five color extract need the observing a person's shape and color through experiment select the digital color system and so real skin color analysis and comparison about the experiment which suggest the something to color coordinate system the best case of digital color system for observing a person's shape and color implementation.

• Journal of Biomedical Engineering Research
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• v.22 no.2
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• pp.133-138
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• 2001

동맥계에서 맥파의 전달속도는 혈관의 긴장도에 따라 결정된다. 동맥혈관의 긴장도는 혈압에 의존적이며 순간적인 혈압의 증가에 따른 혈관긴장도의 변화는 순환기계의 질병을 야기할 수 있다. 본 연구에서는 말초맥파를 이용한 동맥 긴장도 평가 방법의 유용성을 밝히기 위하여 말초맥파 도달시간을 체위에 따라 측정하고, 체위 변화에 따른 정수압 변화와 말초맥파도달시간의 관계를 관찰하였다. 말초맥파도달시간의 측정은 심전도의 QRS파 피크로부터 말초에서 나타나는 광전용적맥파의 최대기울기점까지 시간을 측정하였다. 생체 신호를 아날로그-디지털 변환하여 PC에서 매번 심장주기마다 맥파도달시간을 분석하였으며 결과는 스플라인 보간법을 사용하여 그래프로 결과를 제시하였다. 소프트웨어는 C＋＋을 사용하여 windows 환경에서 운용하였다. 앙아위에서 말초맥파도달시간은 233.38$\pm$1.84 ms이었으며 서있는 자세에서는 226.77$\pm$2.16 ms로 유의하게 감소하였다. 앙아위의 자세에서 손을 수직으로 들어올림에 따라 말초맥파도달시간은 각도에 비례하여 증가하는 특성을 보였다. 이러한 실험결과는 말초맥파도달시간이 동맥계의 일시적인 압력 변화에 매우 민감하게 반응하는 것을 제시하였으며, 고혈압 및 동맥경화가 있는 환자에서 예후를 판단하는 방법으로 유용하게 사용될 것이라 사료된다.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.10
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• pp.285-290
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• 2021

In the medical field, disease diagnosis and prediction research using artificial intelligence technology is being actively conducted. It is being released as a variety of products for disease diagnosis and prediction, which are most widely used in the application of artificial intelligence technology based on medical images. Artificial intelligence is being applied to diagnose diseases, to classify diseases into benign and malignant, and to separate disease regions for use in identification or reading according to the risk of disease. Recently, in connection with cloud technology, its utility as a service product is increasing. Among the diseases dealt with in this paper, liver disease is a disease with very high risk because it is difficult to diagnose early due to the lack of pain. Artificial intelligence technology was introduced based on medical images as a non-invasive diagnostic method for diagnosing these diseases. We describe the development of a web service to help the most meaningful clinical reading of liver cirrhosis patients. Then, it shows the web service process and shows the operation screen of each process and the final result screen. It is expected that the proposed service will be able to diagnose liver cirrhosis at an early stage and help patients recover through rapid treatment.

• The Journal of the Korea institute of electronic communication sciences
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• v.5 no.1
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• pp.102-108
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• 2010

With gradual growth of digital image contents industry connected with computer graphics technology, users require high-quality animations similar to real world and want to observe the type of fishes or their swimming types through cyber aquarium and fish encyclopedia. This study designed and developed fish growth process system to express natural and dynamic movement of fish, which is the critical in expressing submarine environment. This system proposes new mopping technique not presented in existing mopping studies as well as simulation using algorithm that newly supplemented existing fish swimming types. In addition, disease infection status is realistically expressed, which may occur depending on environmental factors during their growth process. With comprehensive fish studies, different from existing fish studies, this study examines the overall features of fish with realistic simulation.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.3
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• pp.83-90
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• 2022

Diabetes is a common disease today, and there are also many cases of developing into serious complications called Diabetic Foot Ulcers(DFU). Diagnosis and prevention of DFU in advance is an important task, and this paper proposes the method. Based on existing studies introduced in the paper, it can be seen that foot pressure and temperature information are deeply correlated with DFU. Introduce the process and architecture of SmarTinsole, an IoT device that measures these indicators. Also, the paper describes the preprocessing process for AI-based diagnosis of DFU. Through the comparison of the measured pressure graph and the actual human step distribution, it presents the results that multiple information collected in real-time from SmarTinsole are more efficient and reliable than the previous study.

• Journal of the Korea Computer Graphics Society
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• v.29 no.3
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• pp.127-135
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• 2023

Accurate segmentation of histopathology whole slide images (WSIs) is a crucial task for disease diagnosis and treatment planning. However, conventional automated segmentation algorithms may not always be applicable to WSI segmentation due to their large size and variations in tissue appearance, staining, and imaging conditions. Recent advances in interactive segmentation, which combines human expertise with algorithms, have shown promise to improve efficiency and accuracy in WSI segmentation but also presented us with challenging issues. In this paper, we propose a novel interactive segmentation method, ZoomISEG, that leverages multi-resolution WSIs. We demonstrate the efficacy and performance of the proposed method via comparison with conventional single-scale methods and an ablation study. The results confirm that the proposed method can reduce human interaction while achieving accuracy comparable to that of the brute-force approach using the highest-resolution data.