• The Journal of Korea Assosiation for Disability and Oral Health
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• v.15 no.1
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• pp.60-64
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• 2019

Swyer-James syndrome (SJS), also known as Swyer-James-MacLeod syndrome and unilateral hyperlucent lung syndrome, is rare acquired pulmonary disorder develops secondary to infectious etiologies in early childhood. Viral respiratory infection such as adenoviruses or Mycoplasma pneumoniae in infancy or early childhood rarely cause Swyer-James syndrome. It is generally characterized on radiographs by a unilateral small lung with hyperlucency and air trapping on expiration. In many cases unaffected lung tissue functions normally, compensating for affected lung portion. Preoperative assessment is needed to determinate individual's pulmonary function. A 4-year-old boy with Swyer-James syndrome visited Seoul National University Dental Hospital Department of pediatric dentistry for caries treatment. Clinical and radiographic examinations revealed multiple carious lesions on deciduous teeth. Considering patient's underling disease, age, and level of cooperation, dental treatment under general anesthesia was scheduled. Dental treatment was done with composite resin and stainless-steel crown. Since ventilation of Swyer-James syndrome patients was diminished because of airway obstruction, close monitoring of ventilation is necessary during dental treatment. Considering pulmonary pathology, general anesthesia rather than sedation is recommended when special behavior management is required for dental treatment. Swyer-James syndrome patients can tolerate general anesthesia and surgery well, according to several reports.

• The Journal of Society for e-Business Studies
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• v.24 no.1
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• pp.105-120
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• 2019

The World Health Organization (WHO) and other government agencies aroundthe world have warned against antibiotic-resistant bacteria due to abuse of antibiotics and are strengthening their care and monitoring to prevent infection. However, it is highly necessary to develop an expeditious and accurate prediction and estimating method for preemptive measures. Because it takes several days to cultivate the infecting bacteria to identify the infection, quarantine and contact are not effective to prevent spread of infection. In this study, the disease diagnosis and antibiotic prescriptions included in Electronic Health Records were embedded through neural embedding model and matrix factorization, and deep learning based classification predictive model was proposed. The f1-score of the deep learning model increased from 0.525 to 0.617when embedding information on disease and antibiotics, which are the main causes of antibiotic resistance, added to the patient's basic information and hospital use information. And deep learning model outperformed the traditional machine hospital use information. And deep learning model outperformed the traditional machine learning models.As a result of analyzing the characteristics of antibiotic resistant patients, resistant patients were more likely to use antibiotics in J01 than nonresistant patients who were diagnosed with the same diseases and were prescribed 6.3 times more than DDD.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.230-231
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• 2019

This study is a development on condition based maintenance(CBM) technology which is a core item of future autonomous ships. It is developing to design & installation of condition monitoring system and acquisition & processing of data from ongoing ships for fault prediction & prognosis of engine in operation. The ultimate goal of this study is to develop a predicts and decision support software for marine engine faults. To do this, the FMEA and fault tree analysis of the main engine should be accompanied by the analysis of classification of system, identification of the components, the type of faults, and the cause and phenomenon of the failure. Finally, the CBM system solution software could predict and diagnose the failure of main engine through integrated analysis for bid-data of ongoing ships and engineering knowledge. Through this study, it is possible to pro-actively cope with abnormal signals of engine and to manage efficiently, and as a result, expected that marine accident and ship operation loss during navigation will be prevented in advance.

• The Korean Journal of Archival Studies
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• no.60
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• pp.49-88
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• 2019

Today, the civil society plays a key role not only in criticizing and monitoring the functions of the state and the market, but also as an active producer of public services by complementing the government and the public sector. Public records management is also becoming more and more popular. In the case of appraisal and selection, which is the core area of record management, discussions about citizen participation are becoming more serious than any other areas. The concept of 'proactive appraisal', which has emerged as a paradigm of citizens' participation in appraisal, reminds us that citizens themselves are the subjects of public records and are no longer alienated from the appraisal system. The problem is, while the growth of the Korean civil society about institutional participation is spreading rapidly, but citizen participation is hard to find in the field of public records. The purpose of this paper is to examine the role of citizen participation in the process of appraisal of public records, and to debunk the role of citizen participation in the appraisal processes by exploring the examples in the UK, Canada, and Australia. This paper emphasizes that the appraisal system of the national public records in crisis today could be largely restored through the domestic application of this active citizen participation cases. First of all, this study presents a conceptual appraisal model that could reflect citizen participation in the field of record management along with the analyses of the advanced cases in some western countries. Specifically, this paper focuses on presenting the models of 'appraisal documentation' and 'governance-based appraisal', reflecting the active citizen participation. This study suggests that these citizens' participatory evaluation models should be settled in Korea in the future and we should urgently discuss 'citizen participation appraisal'.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.5
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• pp.477-484
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• 2021

Due to climate change, parts of Korea are experiencing large and small droughts every 2-3 years and extreme droughts every 7 years. Since most droughts occur mainly in areas where small water supply facilities in the tributaries or upstream are located, more research on technology for securing water in these areas is required. In this study, a drought evaluation using SPEI (Standardized Precipitation Evapotranspiration Index), SDI (Streamflow Drought Index), and WBDI (Water Budget-based Drought Index) was performed to investigate hydrological drought in the Mulrocheon watershed of Chuncheon, a vulnerable area in terms of water supply. As a result of calculating hydrological drought indices SPEI and SDI, examining each duration, it was confirmed that the common drought in 2014 did not recover and continued until 2015. In the hydrological drought index evaluation result by WBDI, a very severe drought condition was observed in the spring of 2015 following 2014, and that drought was the most severe at -1.94 in November 2017. As a result of deriving a SDF (Severity-Duration-Frequency) curve through frequency analysis by duration using the drought index calculated on a monthly basis from 2003 to 2019 (17 years), most droughts in the Mulrocheon watershed were found to have a return period of less than 10 years, but droughts that occurred in 2014, 2015, and 2019 were found to cover more than 20 years, respectively.

• Korean Journal of Clinical Laboratory Science
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• v.52 no.4
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• pp.349-355
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• 2020

Recently, the detection of Mycobacterium tuberculosis complex (MTBC) in respiratory specimens has decreased, and nontuberculous mycobacteria (NTM) has increased. This study examined the increase in NTM lung disease patients and their age and sex distribution compared to the increase in NTM detection in 132,359 respiratory specimens examined in a Gwangju Secondary Hospital from 2010 to 2019. Furthermore, the prevalence of pulmonary tuberculosis infection in NTM positive patients was investigated. The positive rates of the mycobacterial culture were 21.9% (1,624/7,403) in 2010 and 17.4% (1,937/11,161) in 2019. The NTM recovery rate increased from 38.0% (617/1,624) in 2010 to 72.4% (1,403/1,937) in 2019. The average diagnosis rate of NTM lung disease in the NTM positive patients was 27.1%. Among them, cases of current pulmonary tuberculosis infection decreased from 44.9% in 2010 to 23.4% in 2019, and cases of previous diagnosis or treatment decreased from 15.8% to 10.7%. Of all NTM lung diseases, 69.0% were in their 60s or older, with more females than males. In the future, according to aging and tuberculosis management policies, NTM detection is expected to increase while MTBC decreases and laboratories must pay close attention to this phenomenon and constantly monitor the test results.

• Journal of the Institute of Convergence Signal Processing
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• v.22 no.4
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• pp.193-198
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• 2021

Recently, interests in the 4th industry have increased the level of demand for pest control by farmers in the field of rice farming, and the interests and use of agricultural pest control drones. Therefore, the diversification of agricultural control drones that spray high-concentration pesticides and the increase of agricultural exterminators due to the acquisition of national drone certifications are rapidly developing the agricultural sector in the drone industry. In addition, as detailed projects, an effective platform is required to construct large-scale big data due to pesticide management, exterminator management, precise spraying, pest control work volume classification, settlement, soil management, prediction and monitoring of damages by pests, etc. and to process the data. However, studies in South Korea and other countries on development of models and programs to integrate and process the big data such as data analysis algorithms, image analysis algorithms, growth management algorithms, AI algorithms, etc. are insufficient. This paper proposed an online drone pest control management information platform to meet the needs of managers and farmers in the agricultural field and to realize precise AI pest control based on the agricultural drone pest control processor using drones and presented foundation for development of a comprehensive management system through empirical experiments.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.49 no.12
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• pp.1019-1025
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• 2021

In nearly all space environments, the solar cell degradation is dominated by protons[1]. Even through a GEO orbit lines in the electron radiation belts, the protons emitted from any solar event will still dominate the degradation[1]. Since COMS launch on June 26 2010, the proton events with the fluence of more than approximately 30 times the average level of perennial observations were observed between January 23 - 29 2012 and March 07 - 14 2012[16]. This paper studies the solar cell degradation by solar proton events in January and March 2012 for the open circuit voltage(Voc) of a witness cell and the short circuit current(Isc) of a section connected to a shunt switch. To evaluate the performance of solar cell, the flight data of voltage and current are corrected to the temperature, the Earth-Sun distance and the Sun angle and then compare with the solar cell characteristics at BOL. The Voc voltage dropped about 23.6mV compare after the March 2012 proton events to before the January 2012 proton events. The Voc voltage dropped less than 1% at BOL, which is 2575mV. The Isc current decreased negligible, as expected, in the March 2012 proton events.

• Journal of agricultural medicine and community health
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• v.47 no.2
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• pp.78-89
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• 2022

목적: 이 연구는 2019학년도 역학조사관 입문교육 과정에 참여한 29명의 수습과정생에게 참여형 자기주도 학습 역학조사관 연수 프로그램(FETP)의 효과와 만족도 등 역량 변화를 분석해 그 결과를 향후 과정 개발의 참고 자료로 활용하고자 하였다. 방법: 교육 프로그램의 만족도와 교육 후 모듈에 대한 역량 변화를 평가하는 연구가 수행되었다. 만족도와 역량의 차이 비교는 크루스칼 왈리스 검정(Kruskal-Wallis test)를 실시하였고, 역량의 차이는 윌콕슨 부호순위검정(Wilcoxon signed rank test)에 의해 이루어 졌다. 결과: 2019년 FETP에 참여한 역학조사관 중 여성은 48.3% 였으며, 40세 미만은 9.4% 였다. 역학조사관 입문교육과정 모듈(역학조사, 보건통계 및 정보통계, 감염병 국가 체계, 감염병 질환 감시 체계, 진단 및 실험실 검사, 생물 안전 및 관리, 주요 감염성질환 관리와 조사, 커뮤니케이션, 협동과 리더십, 일반과정)별 만족도는 실무적 도움, 전문성, 기능, 태도 등에서 4점(5점 만점)을 초과하였고, 전체 4.2±0.21(5점 만점)점으로 높은 수준이였다, 모듈의 교육훈련 전후 평균 점수는 2.25±0.91, 3.68±0.63점 등으로 유의한 향상이 있었으며, 모든 모듈 및 하위 주제들도 유의한 향상이 있었다(p<0.001). 그 중에서 현장역학조사 경험이 가장 높은 변화가 있었고, 표본 수집과 실무가 가장 낮은 역량 변화가 있었다. 결론: 2019년 진행된 입문교육 과정은 수료 후 학생들의 역량은 개선되었고, 만족도는 높은 편이었다. 참여형 자기주도학습의 촉진은 역량을 향상시킬 뿐만 아니라 보건 종사자들의 자신감을 높일 수 있었다.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.9
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• pp.387-398
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• 2023

The COVID-19 outbreak has significantly impacted human lifestyles and patterns. It was recommended to avoid face-to-face contact and over-crowded indoor places as much as possible as COVID-19 spreads through air, as well as through droplets or aerosols. Therefore, if a person who has contacted a COVID-19 patient or was at the place where the COVID-19 patient occurred is concerned that he/she may have been infected with COVID-19, it can be fully expected that he/she will search for COVID-19 symptoms on Google. In this study, an exploratory data analysis using deep learning models(DNN & LSTM) was conducted to see if we could predict the number of confirmed COVID-19 cases by summoning Google Trends, which played a major role in surveillance and management of influenza, again and combining it with data on the number of confirmed COVID-19 cases. In particular, search term frequency data used in this study are available publicly and do not invade privacy. When the deep neural network model was applied, Seoul (9.6 million) with the largest population in South Korea and Busan (3.4 million) with the second largest population recorded lower error rates when forecasting including search term frequency data. These analysis results demonstrate that search term frequency data plays an important role in cities with a population above a certain size. We also hope that these predictions can be used as evidentiary materials to decide policies, such as the deregulation or implementation of stronger preventive measures.