• 사물인터넷융복합논문지
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• 제10권2호
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• pp.1-15
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• 2024

스마트 지역사회의 구축은 지역사회의 안전을 보장하는 새로운 방법이자 중요한 조치이다. 촬영 각도로 인한 얼굴 기형 및 기타 외부 요인의 영향으로 인한 신원 인식 정확도 문제를 해결하기 위해 이 논문에서는 네트워크 모델을 구축할 때 전체 그래프 컨벌루션 모델을 설계하고, 그래프 컨벌루션 모델에 협력하여 얼굴의 핵심을 추출한다. 또한 얼굴의 핵심을 특정 규칙에 따라 핵심 포인트를 구축하며 이미지 컨벌루션 구조를 구축한 후 이미지 컨벌루션 모델을 추가하여 이미지 특징의 핵심을 개선한다. 마지막으로 두 사람의 얼굴의 이미지 특징 텐서를 계산하고 전체 연결 레이어를 사용하여 집계된 특징을 추출하고 판별하여 인원의 신원이 동일한지 여부를 결정한다. 최종적으로 다양한 실험과 테스트를 거쳐 이 글에서 설계한 네트워크의 얼굴 핵심 포인트에 대한 위치 정확도 AUC 지표는 300W 오픈 소스 데이터 세트에서 85.65%에 도달했다. 자체 구축 데이터 세트에서 88.92% 증가했다. 얼굴 인식 정확도 측면에서 이 글에서 제안한 IBUG 오픈 소스 데이터 세트에서 네트워크의 인식 정확도는 83.41% 증가했으며 자체 구축 데이터 세트의 인식 정확도는 96.74% 증가했다. 실험 결과는 이 글에서 설계된 네트워크가 얼굴을 모니터링하는 데 더 높은 탐지 및 인식 정확도를 가지고 있음을 보여준다.

• 한국전자통신학회논문지
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• 제17권2호
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• pp.343-350
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• 2022

서로 다른 특징을 가지는 이미지를 통합하여 작물의 병충해 분류를 위한 심층신경망을 훈련하는 것이 학습 결과에 어떤 영향을 미치는지 확인하고, 심층신경망의 학습 결과를 개선할 수 있는 이미지 통합방법에 대해 실험하였다. 실험을 위해 두 종류의 작물 이미지 공개 데이터가 사용되었다. 하나는 인도의 실제 농장 환경에서 촬영된 작물 이미지이고 다른 하나는 한국의 실험실 환경에서 촬영한 작물 이미지였다. 작물 잎 이미지는 정상인 경우와 4종류의 병충해를 포함하여 5개의 하위 범주로 구성되었다. 심층신경망은 전이학습을 통해 사전 훈련된 VGG16이 특징 추출부에 사용되었고 분류기에는 다층퍼셉트론 구조를 사용하였다. 두 공개 데이터는 세 가지 방법으로 통합되어 심층신경망의 지도학습에 사용되었다. 훈련된 심층신경망은 평가 데이터를 이용해 평가되었다. 실험 결과에 따르면 심층신경망을 실험실 환경에서 촬영한 작물 이미지로 학습한 이후에 실제 농장 환경에서 촬영한 작물 이미지로 재학습하는 경우에 가장 좋은 성능을 보였다. 서로 다른 배경의 두 공공데이터를 혼용하여 사용하면 심층신경망의 학습 결과가 좋지 않았다. 심층신경망의 학습 과정에서 여러 종류의 데이터를 사용하는 방법에 따라 심층신경망의 성능이 달라질 수 있음을 확인하였다.

• Genomics & Informatics
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• 제10권1호
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• pp.23-32
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• 2012

There are lots of studies attempting to identify the expression changes in oral squamous cell carcinoma. Most studies include insufficient samples to apply statistical methods for detecting significant gene sets. This study combined two small microarray datasets from a public database and identified significant genes associated with the progress of oral squamous cell carcinoma. There were different expression scales between the two datasets, even though these datasets were generated under the same platforms - Affymetrix U133A gene chips. We discretized gene expressions of the two datasets by adjusting the differences between the datasets for detecting the more reliable information. From the combination of the two datasets, we detected 51 significant genes that were upregulated in oral squamous cell carcinoma. Most of them were published in previous studies as cancer-related genes. From these selected genes, significant genetic pathways associated with expression changes were identified. By combining several datasets from the public database, sufficient samples can be obtained for detecting reliable information. Most of the selected genes were known as cancer-related genes, including oral squamous cell carcinoma. Several unknown genes can be biologically evaluated in further studies.

• 한국정보통신학회논문지
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• 제25권10호
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• pp.1375-1380
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• 2021

우리나라는 재난안전통신망 개통 초기로 응용서비스 앱에 대한 보안 대응은 아직은 미흡한 실정이기에, 이에 대한 선제적 보안 대응이 반드시 필요하다. 본 연구에서는 재난안전통신망에서 앱을 유통하는 앱 스토어와 전용 단말에서 앱이 동작되는 안드로이드 운영체제에 대한 잠재적 취약점을 사전 예방하고자 '재난안전망 앱 보안 체계 구축'을 제안하였다. 응용서비스 앱이 재난안전통신망 모바일 앱스토어에 등재하고자 하기 위해서는, 우선 악성 및 정상 앱에 대한 데이터 셋을 구축하여 피쳐를 추출하고 가장 효과적인 AI 모델을 선정하여 정적 및 동적 분석을 수행한다. 분석 결과에 따라 악성 앱이 아닌 경우에 대해서 '안전 앱 인증서'를 인증하여 공인 앱에 대한 신뢰성을 확보한다. 궁극적으로 재난안전통신망 앱의 보안 사각지대를 최소화하고 인증된 앱의 재난안전 응용 서비스 지원으로 재난상황에 대한 통신망의 안전성을 확보할 수 있다.

• Journal of Preventive Medicine and Public Health
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• 제56권1호
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• pp.67-76
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• 2023

Objectives: Previous studies have reported that people with disabilities are more likely to be impoverished and affected by excessive medical costs than people without disabilities. Public transfer income (PTI) reduces financial strain in low-income households. This study examined the impact of PTI on catastrophic health expenditures (CHE), focusing on low-income households and households with Medical Aid beneficiaries that contained people with disabilities. Methods: We constructed a panel dataset by extracting data on registered households with disabilities from the Korea Welfare Panel Study 2012-2019. We then used a generalized estimating equation model to estimate the impacts of PTI on CHE. A subgroup analysis was carried out to assess the moderating effects of family income levels and health insurance types. Results: As PTI increased, the odds ratio (OR) of CHE in households that contained people with disabilities decreased significantly (OR, 0.92; 95% confidence interval [CI], 0.89 to 0.94; p<0.001). In particular, PTI effectively reduced the likelihood of CHE for low-income households (OR, 0.85; 95% CI, 0.81 to 0.89; p<0.001) and those who received medical benefits (OR, 0.78; 95% CI, 0.68 to 0.89; p<0.001). Conclusions: This study highlights the positive effect of PTI on decreasing CHE. Household income and the health insurance type were significant effect modifiers, but economic barriers seemed to persist among low-income households with non-Medical Aid beneficiaries. Federal policies or programs should consider increasing the total amount of PTI targeting low-income households with disabilities that are not covered by the Medical Aid program.

• Journal of Computing Science and Engineering
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• 제8권1호
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• pp.57-63
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• 2014

User satisfaction has always been important in the success of software, regardless of whether it is closed and proprietary or open source software (OSS). OSS users are geographically distributed and include technical as well as novice users. However, it is generally believed that if OSS was more usable, its popularity would increase tremendously. Hence, users and their requirements need to be addressed in the priorities of an OSS environment. Online public forums are a major medium of communication for the OSS community. The research model of this work studies the relationship between user requirements in open source software and online public forums. To conduct this research, we used a dataset consisting of 100 open source software projects in different categories. The results show that online forums play a significant role in identifying user requirements and addressing their requests in open source software.

• International Journal of Advanced Culture Technology
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• 제11권3호
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• pp.297-301
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• 2023

The study identified the various causes of odor problems, the discomfort they cause, and the importance of the public health and environmental issues associated with them. To solve the odor problem, you must identify the cause and perform an accurate analysis. Therefore, we proposed a CNN-Transformer hybrid model (CTHM) that combines CNN and Transformer and evaluated its performance. It was evaluated using a dataset consisting of 120,000 odor samples, and experimental results showed that CTHM achieved an accuracy of 93.000%, a precision of 92.553%, a recall of 94.167%, an F1 score of 92.880%, and an RMSE of 0.276. Our results showed that CTHM was suitable for odor analysis and had excellent prediction performance. Utilization of this model is expected to help address odor problems and alleviate public health and environmental concerns.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2020년도 제62차 하계학술대회논문집 28권2호
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• pp.301-302
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• 2020

The number of abandoned dogs were increasing every year in South Korea. However, many dogs are euthanized in the shelter because of the lack of budget. This project predicts euthanasia of abandoned dogs using machine learning algorithm. It collects data from the public data portal where Korea government provides a public dataset as a form of open API. This project uses recent three-year data 2017 to 2019 and 263371 cases were founded. This project implements random forest and logistic regression models. This project attained an average 72% of prediction accuracy.

• Asian Pacific Journal of Cancer Prevention
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• 제13권11호
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• pp.5525-5528
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• 2012

Introduction: Breast cancer is the most common cancer in women. Improvements of early diagnosis modalities have led to longer survival rates. This study aimed to determine the 5, 10 and 15 year mortality rates of breast cancer patients compared to the normal female population. Materials and Methods: The follow up data of a cohort of 615 breast cancer patients referred to Iranian Breast Cancer Research Center (BCRC) from 1986 to 1996 was considered as reference breast cancer dataset. The dataset was divided into 5 year age groups and the 5, 10 and 15 year probability of death for each group was estimated. The annual mortality rate of Iranian women was obtained from the Death Registry system. Standardized mortality ratios (SMRs) of breast cancer patients were calculated using the ratio of the mortality rate in breast cancer patients over the general female population. Results: The mean age of breast cancer patients at diagnosis time was 45.9 (${\pm}10.5$) years ranging from 24-74. A total of 73, 32 and 2 deaths were recorded at 5, 10 and 15 years, respectively, after diagnosis. The SMRs for breast cancer patients at 5, 10 and 15 year intervals after diagnosis were 6.74 (95% CI, 5.5-8.2), 6.55 (95%CI, 5-8.1) and 1.26 (95%CI, 0.65-2.9), respectively. Conclusion: Results showed that the observed mortality rate of breast cancer patients after 15 years from diagnosis was very similar to expected rates in general female population. This finding would be useful for clinicians and health policy makers to adopt a beneficial strategy to improve breast cancer survival. Further follow-up time with larger sample size and a pooled analysis of survival rates of different centres may shed more light on mortality patterns of breast cancer.

• 보건행정학회지
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• 제25권3호
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• pp.197-206
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• 2015

Background: The purpose of this study was to propose a method for developing a measure of hospital-wide all-cause risk-standardized readmissions using administrative claims data in Korea and to discuss further considerations in the refinement and implementation of the readmission measure. Methods: By adapting the methodology of the United States Center for Medicare & Medicaid Services for creating a 30-day readmission measure, we developed a 6-step approach for generating a comparable measure using Korean datasets. Using the 2010 Korean National Health Insurance (NHI) claims data as the development dataset, hierarchical regression models were fitted to calculate a hospital-wide all-cause risk-standardized readmission measure. Six regression models were fitted to calculate the readmission rates of six clinical condition groups, respectively and a single, weighted, overall readmission rate was calculated from the readmission rates of these subgroups. Lastly, the case mix differences among hospitals were risk-adjusted using patient-level comorbidity variables. The model was validated using the 2009 NHI claims data as the validation dataset. Results: The unadjusted, hospital-wide all-cause readmission rate was 13.37%, and the adjusted risk-standardized rate was 10.90%, varying by hospital type. The highest risk-standardized readmission rate was in hospitals (11.43%), followed by general hospitals (9.40%) and tertiary hospitals (7.04%). Conclusion: The newly developed, hospital-wide all-cause readmission measure can be used in quality and performance evaluations of hospitals in Korea. Needed are further methodological refinements of the readmission measures and also strategies to implement the measure as a hospital performance indicator.