• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.525-526
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• 2023

최근 빅데이터를 처리하기 위한 고용량의 저장장치의 연구가 활발하게 진행되고 있다. 특히 낸드 플래시 메모리 기반 저장장치인 SSD(Solid State Drive)는 고속 데이터 처리가 가능하기 때문에 다양한 저장 시스템에서 사용되고 있다. 그러나 낸드 플래시 메모리는 읽기 속도가 빠르고 쓰기 속도가 느린 비대칭 구조를 가지고 있어 데이터 쓰기 작업이 진행 중일 때 다른 작업이 대기하게 되어 전체적인 시스템 성능에 영향을 미칠 수 있다. 이에 대해 대부분의 연구에서는 쓰기 성능을 개선하기 위한 버퍼 관리 정책들이 제안되었다. 기술의 발전으로 쓰기 성능은 개선되었지만, 그에 비해 읽기 성능이 저조한 문제가 있다. 본 논문에서는 읽기 성능이 쓰기 성능보다 취약한 점을 분석하고 플래시 메모리 내에 저장장치 속도를 개선하기 위해 앞으로 읽기 요청 가능성이 있는 예상 데이터를 선형회귀 모델을 적용하여 전송 대기 시간 중 미리 읽는 정책을 제안한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.290-291
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• 2023

모빌리티 기술의 발전으로 자율주행 및 센서 데이터 처리를 위한 신뢰할 수 있는 고성능 저장 시스템의 수요가 증가하고 있다. SSD(Solid State Drive)는 빠른 데이터 처리 속도의 장점뿐만 아니라 외부 충격에 강한 내구성과 저전력의 특징 때문에 모빌리티 환경의 저장 시스템으로 사용되고 있다. 그러나 고온에 장시간 노출되면 NAND 플래시 메모리 소자에 손상이 발생할 수 있는 특성 때문에 모빌리티 내부 SSD의 온도를 관리해야 한다. 본 논문에서는 SSD의 외부 및 내부의 온도를 측정하여 저장장치가 고온에 장시간 노출되지 않도록 쿨링 시스템을 설계하고 실험을 통하여 적정 온도를 유지할 수 있는 최적화 방법을 제안한다. 또한 실험을 통해 쿨링 시스템이 SSD의 내부와 외부에 미치는 온도 변화를 측정하여 제안하는 시스템의 효과를 증명한다.

• Korea Information Processing Society Review
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• v.26 no.2
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• pp.18-26
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• 2019

• Journal of Digital Convergence
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• v.19 no.9
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• pp.411-421
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• 2021

This study was conducted to compare the effects of student-generated questions (SGQ) and online quiz-based learning (OQL) applied to a physiology and a pharmacology course with 173 nursing students in total. The levels of learning motivation of all participants at 15th week decreased significantly compared with 8th week. There were no statistical difference on learning motivation, communication, and critical thinking between SGQ and OQL, and regardless of the order SGQ and OQL were applied. However, the level of learning satisfaction in students taking pharmacology course was significantly higher in OQL than SGQ (t=2.184, p=.003). We suggest that either SGQ or OQL or both SGQ and OQL be used throughout a semester in biological nursing science subjects without changing teaching strategy during a semester.

• The Journal of Korean Society for School & Community Health Education
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• v.22 no.4
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• pp.61-75
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• 2021

Objectives: This study aimed to compare the level of depression and the factors affecting depression among marriage immigrant women and Korean married women living in A town. Methods: The study subjects were women living in A town. Marriage immigrant women were purposively sampled subjects who visited the Multicultural Family Support Center and conducted 1:1 face-to-face interviews. Korean married women were randomly sampled and conducted an online survey due to COVID 19. The final analysis subjects were 115 marriage immigrant women and 186 Korean married women. Data were analyzed by descriptive analysis, mean comparison(t-test, ANOVA), correlation anaylsis(Pearson's correlation coefficient) and multiple regression using SPSS 27.0. As a result of comparing the depression levels measured using the CES-D, there was no significant difference in the depression levels between the two groups of marriage immigrant women and Korean married women Results: The significant influencing factors on depression of marriage immigrant women were age(p<.01), religious status(p<.01), period of residence in Korea(p<.1), husband's job (p<.05), subjective health status(p<.1), experience of domestic violence(p<.01), and family relationships(p<.05) and the significant influencing factors on depression of Korean married women were subjective health status(p<.01), age difference with husband(p<.05), experience of domestic violence(p<.05), and family relationship (p<.001). Conclusions: Based on the results of this study, a program for mental health promotion was proposed for marriage immigrant women and Korean married women in community.

• Journal of the Korean Society of Physical Medicine
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• v.14 no.1
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• pp.101-110
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• 2019

PURPOSE: This study was conducted to analyze the effects of virtual reality inspiratory muscle training and conventional inspiratory muscle training on diaphragm movement and pulmonary function in patients with thoracic restriction. METHODS: This study measured diaphragm movement, forced vital capacity (FVC), forced expiratory volume in 1 second (FEV1), peak expiratory flow (PEF), and thoracic mobility (upper, middle, and lower trunk) under two different conditions. Forty young women between 19 and 24 years of age who had no history of orthopedic symptoms for the last 6 months were divided into experimental and control groups. The experimental group performed virtual reality inspiratory muscle training and diaphragm breathing, and the control group performed conventional inspiratory muscle training and diaphragm breathing. RESULTS: The control group showed a significant increase in all dependent variables except for lower trunk mobility and PEF. The experimental group showed a significant increase in all dependent variables except for lower trunk mobility. Particularly, the experimental group showed significant increases in diaphragm movement (p<.05), FVC (p<.05), FEV1 (p<.05), and PEF (p<.05) relative to the control group. CONCLUSION: We recommend inspiratory muscle training with a virtual reality program over conventional training to improve diaphragm movement and pulmonary function in patients with thoracic restriction.

• Journal of Convergence for Information Technology
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• v.9 no.1
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• pp.86-91
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• 2019

Block chains began by recognizing the danger of centralized control of financial systems after the 2008 financial crisis. From the beginning of 2008, blockchain has been developing a lot of attention and technology, starting with a tremendous innovation called cryptographic destruction based on technology, a block chain called Bitcoin. However, the vulnerability has also been discovered over time and the damage has been repeated. But in the fourth industry of the 21st century, many advances and technologies based on them are expected to emerge. Therefore, this paper proposes new analytical transaction protocols for vulnerabilities in cryptographic currency transactions. The proposed transaction protocol is a way to authenticate once again at the end of the transaction and the transaction is concluded with this authentication. It presents countermeasures by adding security elements between users to the transaction process rather than internal security to transaction vulnerabilities.

• Journal of Internet of Things and Convergence
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• v.8 no.5
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• pp.17-25
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• 2022

Recently the massive amount of data has been generated because of the number of edge devices increases. And especially, the number of raw unstructured HTML documents has been increased. Therefore, MRC(Machine Reading Comprehension) in which a natural language processing model finds the important information within an HTML document is becoming more important. In this paper, we propose HTDE(HTML Tag Depth Embedding Method), which allows the BERT to train the depth of the HTML document structure. HTDE makes a tag stack from the HTML document for each input token in the BERT and then extracts the depth information. After that, we add a HTML embedding layer that takes the depth of the token as input to the step of input embedding of BERT. Since tokenization using HTDE identifies the HTML document structures through the relationship of surrounding tokens, HTDE improves the accuracy of BERT for HTML documents. Finally, we demonstrated that the proposed idea showing the higher accuracy compared than the accuracy using the conventional embedding of BERT.

• Journal of Internet of Things and Convergence
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• v.10 no.1
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• pp.47-52
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• 2024

The efficiency and quality of healthcare services rely heavily on the secure protection and transparent management of individuals' medical information, which is becoming increasingly important in the digital age. To address this issue, we propose a distributed identity management (DID) and electronic medical record (EMR) integration system based on Hyperledger Indy, which aims to ensure the ownership of medical information to individuals and increase the accessibility and utilization of medical information. The system will allow individuals to manage their own medical information and share it transparently when necessary, which will improve the efficiency of healthcare services. In addition, the system will securely protect and transparently manage medical information, increasing the transparency of medical services and strengthening individuals' control over their medical information. Thus, the system will contribute significantly to improving the quality of medical services, protecting individuals' medical information, and improving the efficiency of medical services.

• The Korean Publising Journal, Monthly
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• s.224
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• pp.8-9
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• 1997

근대문화사에서 공백으로 남아 있던 그대 작가들의 문학전집 출간이 이어지고 있다. 백석.노천명.김유정.이태준.김태준 등 그동안 이념의 장막에 가려 소외돼왔던 문인들도 포함돼 있어 더욱 주목된다. 작가정신의 정수를 보여준다는 점에서 이들의 전집물 출간을 적극 환영하고 있다.