• 대한골대사학회지
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• 제25권4호
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• pp.219-226
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• 2018

Background: Although studies and interest in sarcopenia have increased, it is still a matter of debate which muscle mass index better represents the aging process. We compared 3 indices for muscle mass (appendicular skeletal muscle mass [ASM]/weight, $ASM/height^2$, and the body mass index [BMI]-adjusted muscle mass index [ASM/BMI]) to determine which better reflected the aging process in terms of the decline in bone mineral density (BMD), visual acuity (VA), hearing power, renal function, pulmonary function, and handgrip strength. Methods: We performed a retrospective cross-sectional study using the Korea National Health and Nutrition Examination Survey in the Korean population. Between 2008 and 2011, a total of 14,415 men and 17,971 women aged 10 years or older participated in the study. We plotted the changes in the 3 indices of muscle mass and compared these with changes in BMD, VA, hearing power, renal function, pulmonary function, and handgrip strength according to each age group. Results: The ASM/BMI showed similar changes in terms of surrogate markers of the aging process, while the ASM/weight and $ASM/height^2$ showed no correlation. Conclusions: Among muscle indices for sarcopenia, only the ASM/BMI represented the aging process.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권10호
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• pp.2643-2657
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• 2023

Scene graphs are structured representations that can clearly convey objects and the relationships between them, but are often heavily biased due to the highly skewed, long-tailed relational labeling in the dataset. Indeed, the visual world itself and its descriptions are biased. Therefore, Unbiased Scene Graph Generation (USGG) prefers to train models to eliminate long-tail effects as much as possible, rather than altering the dataset directly. To this end, we propose Geometric and Semantic Improvement (GSI) for USGG to mitigate this issue. First, to fully exploit the feature information in the images, geometric dimension and semantic dimension enhancement modules are designed. The geometric module is designed from the perspective that the position information between neighboring object pairs will affect each other, which can improve the recall rate of the overall relationship in the dataset. The semantic module further processes the embedded word vector, which can enhance the acquisition of semantic information. Then, to improve the recall rate of the tail data, the Class Balanced Seesaw Loss (CBSLoss) is designed for the tail data. The recall rate of the prediction is improved by penalizing the body or tail relations that are judged incorrectly in the dataset. The experimental findings demonstrate that the GSI method performs better than mainstream models in terms of the mean Recall@K (mR@K) metric in three tasks. The long-tailed imbalance in the Visual Genome 150 (VG150) dataset is addressed better using the GSI method than by most of the existing methods.

• 한국콘텐츠학회논문지
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• 제14권10호
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• pp.112-123
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• 2014

본 논문은 천안시 공무원들의 인식조사를 통해 지방자치단체의 재정건전성 확보방안을 마련하는데 목적이 있다. 선행연구를 분석해본 결과, 지방정부의 재정건전성은 자치단체를 둘러싸고 있는 사회, 경제, 인구, 정치 등 다양한 요인들에 의해 복합적으로 영향을 받고 있음을 발견하였다. 본 연구는 이러한 논의를 바탕으로 자치단체의 재정실태관련 지표, 재정건전성 관련 지표, 재정건전성을 높이기 위한 지표를 도출했다. 천안시의 재정 건전성을 확보하기 위해서는 재정운영의 효율성을 높여야 한다. 재정운영 효율성을 높이기 위해서는 지역주민의 재정감시 및 통제 장치 마련, 투자심사분석제도 활성화 등이 필요하다. 또한 효율적인 채무관리를 위해서는 자치단체의 자율적인 통제기능이 강화되어야 한다. 지방 재정의 확충을 위해 국고보조사업의 지방비 부담을 인하해야하며, 사용료 요율의 현실화가 필요하다. 지방재정운영의 발전은 중앙정부, 지방정부, 지역주민의 연계망 속에서 자율과 통제의 조화 통해 이루어져야 한다. 또한 계획수립-자원배분-평가-환류시스템을 체계적으로 구축하여 재원이 실질적으로 주민복지향상 및 지역개발투자에 배분될 수 있도록 해야 한다.

• 대한인간공학회지
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• 제31권6호
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• pp.733-740
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• 2012

Objective: The present study systematically analyzed the characteristics of ergonomic layout optimization methods by a comprehensive literature survey. Background: Although layout design methods for ergonomic placement of controls and displays on a console have been developed, understanding of their characteristics is lacking. Method: The present study analyzed layout optimization papers published past 20 years from the following four aspects: optimization model, optimization algorithm, design principle, and constraint/assumption. Results: The existing layout optimization methods based on various optimization techniques consider only a partial set of four layout principles(importance, frequency of use, sequence of use, and functional grouping) and two ergonomic criteria(visibility and reach). In addition, the existing methods oversimplify components in various sizes, shapes, and angles by assuming the equality of the components in size and shape. Conclusion: A more effective layout optimization method is needed which considers the layout principles and ergonomic criteria in a comprehensive manner and reflect the diversity of components in size and shape. Application: The identified characteristics on the existing layout optimization methods can be applicable to development of a better ergonomic console layout design method.

• 산업경영시스템학회지
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• 제43권3호
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• pp.1-9
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• 2020

Interest rate spreads indicate the conditions of the economy and serve as an indicator of the recession. The purpose of this study is to predict Korea's interest rate spreads using US data with long-term continuity. To this end, 27 US economic data were used, and the entire data was reduced to 5 dimensions through principal component analysis to build a dataset necessary for prediction. In the prediction model of this study, three RNN models (BasicRNN, LSTM, and GRU) predict the US interest rate spread and use the predicted results in the SVR ensemble model to predict the Korean interest rate spread. The SVR ensemble model predicted Korea's interest rate spread as RMSE 0.0658, which showed more accurate predictive power than the general ensemble model predicted as RMSE 0.0905, and showed excellent performance in terms of tendency to respond to fluctuations. In addition, improved prediction performance was confirmed through period division according to policy changes. This study presented a new way to predict interest rates and yielded better results. We predict that if you use refined data that represents the global economic situation through follow-up studies, you will be able to show higher interest rate predictions and predict economic conditions in Korea as well as other countries.

• 가정과삶의질연구
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• 제29권4호
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• pp.147-160
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• 2011

This purpose of research is to offer basic materials for analyzing organizational structure in an effort to develop a standardized model that considers regional characteristics with the ultimate goal being the establishment of a National Health and Family Support Center. Research methods include aliterature survey data. The research target is 94 centers run by the National Health Family Support Center training. These are assessed in terms of their regional characteristics. The objectives of this paper are as follows: 1. To look at the present National Healthy Family Support Center's yearly conditions investigate the regional characteristics. 2. To analyze the National Healthy Family Support Center's annual organizational managements and operations characteristics. 3. To analyze the National Healthy Family Support Center's regional characteristics (Urban-only-, Urban-Rural Integration, Rural-only-) in terms of its organizational management and operations. First, at the national, county, and ward levels, Health and Family Support Center can have family intervention purpose. Regional Center should be operated to keep pace with custom of different regions. Standardization can also be beneficial, including considerations such as agricultural needs and a type center. Effective center operations should also ensured. Second, standardized development model I had to insert this here because you mention one in the following paragraph. Original did not make sense. I hope this is what you meant.

• 대한원격탐사학회지
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• 제38권6_2호
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• pp.1737-1741
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• 2022

고해상도 드론영상과 딥러닝 기술을 결합한 활성산불 감시는 이제 초기단계로 다방면의 연구개발을 필요로 한다. 이 단보에서는 드론영상 산불탐지에 아직 사용되지 않았던 state-of-the-art (SOTA) 모델인 You Only Look Once Version 7 (YOLOv7) 기반의 활성산불 객체탐지를 수행하였으며, 동일한 데이터셋을 사용한 선행연구에 비해 F1점수가 약 0.05 향상된 성과를 거두었다. 향후 우리나라에서도 광역적인 산불감시에 적용될 수 있도록 추가적인 기술 개발이 계속 필요할 것이다.

• 한국콘텐츠학회논문지
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• 제22권5호
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• pp.305-318
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• 2022

본 연구는 4차 혁명기술의 핵심인 AI 기술을 활용한 대화형 AI 토이 로봇의 독거노인 돌봄에 대한 효과성에 주목하고, 보다 인간 중심적인 돌봄으로의 개인화, 맞춤화에 기여할 수 있도록 R&D를 통한 '아가야'라는 AI 토이 로봇을 개발하였다. R&D 작업은 활용 중인 AI 스피커와 AI 대화 인형의 기능을 고찰, 현재 AI 로봇을 사용 중인 총 6명의 독거노인과의 인터뷰, 독거노인의 AI 대화 로봇 사용 현황과 효과성, 한계성, 개선점 등을 파악한 후 진행되었다. 첫째, P-TTS 기술을 적용하여 듣고 싶은 사람의 음성을 자율적으로 선택하여 들음으로써 심리적 친밀감을 강화하고 둘째, 추억저장 및 소환기능으로 자신만의 심적 치유를 가능케 하며 셋째, 눈, 코, 입, 귀, 손의 5감의 다양한 역할을 추가하였고 넷째, 따뜻한 체온 유지, 아로마, 살균 및 미세먼지 제거부, 편리한 충전방식 등의 기술을 개발하였다. 이러한 기술들은 친밀감, 개인화 지향을 통한 독거노인의 대화형 로봇에 대한 사용을 확대하고, 돌봄의 수혜자라는 수동적인 프레임에서 벗어나 스스로 남은 노후를 생산적이고 독립적으로 기획할 수 있는 긍정적 이미지의 독거 노인상을 구축하는데 기여한다.

• Asian Pacific Journal of Cancer Prevention
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• 제14권12호
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• pp.7203-7206
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• 2013

Recent studies suggested that the ovarian cancers with negative excision repair cross-complementation group 1 enzyme (ERCC1) expression have a better response to platinum-based chemotherapy than those with positive ERCC1 expression. The objective of this study was to evaluate whether ERCC1 expression is associated with response to platinum-based chemotherapy in ovarian cancers. MEDLINE, PubMed, Web of Science and CNKI databases were used for searching studies relating to ERCC1 protein expression and response to platinum-based chemotherapy in ovarian cancers. Statistical analysis was based on the method for a fixed effects meta-analysis. Pooled odds ratios (ORs) with 95% confidence intervals for ERCC1 protein expression and response to platinum-based chemotherapy were generated. Publication bias was investigated with Begg's test. Five studies involving 306 patients with ovarian cancer were included. Compared to patients with positive ERCC1 expression, those with negative ERCC1 expression had a better response to platinum-based chemotherapy. The pooled OR was 5.264 (95% CI: 2.928-9.464, P < 0.001) and publication bias was not found (P = 0.904). The result was similar in both in Asians and Caucasians (P < 0.001 and P = 0.028, respectively). ERCC1 protein expression status is significantly associated with response to platinum-based chemotherapy in ovarian cancers.

• Asian Pacific Journal of Cancer Prevention
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• 제16권9호
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• pp.4103-4107
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• 2015

Background: Hepatocellular carcinoma (HCC) is one of the most prevalent malignancies worldwide. Transarterial chemoembolisation (TACE) is the standardized therapy for intermediate stage HCC. However, the prognosis for HCC patients treated by TACE greatly varies. Thus, there is a critical need for finding biomarkers to predict the prognosis of HCC patients. The amino acid transporter-2 (ASCT2) is involved in tumorigenesis and progression of many malignancies. This study aimed to evaluate the predictive role of two single nuclear polymorphisms (SNPs, rs3826793 and rs2070246) in the ASCT2 gene in HCC patients treated by TACE. Materials and Methods: Two functional SNPs (rs3826793 and rs2070246) in the ASCT2 gene were selected and genotyped using the Sequenom iPLEX genotyping system in a cohort of 448 unresectable Chinese HCC patients treated by TACE. Univariate and multivariate Cox proportional hazards models and Kaplan-Meier curves were used for the prognosis analyses. Results: There was no significant association between two SNPs (rs3826793 and rs2070246) in the ASCT2 gene and overall survival of TACE treated HCC patients. However, we demonstrated that patients with early stage HCC carrying T genotype in rs2070246 showed better OS than those carrying CC genotype (P=0.023). Conclusions: We demonstrated that patients with early stage HCC carrying T genotype in rs2070246 showed better OS than those carrying CC genotype.