• Tribology and Lubricants
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• 제28권5호
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• pp.203-211
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• 2012

Atomic force microscopy (AFM) has been used as a tool, not only for imaging surfaces, but also for measuring surface forces and mechanical properties at the nano-scale. Force calibration is crucial for quantitatively measuring the forces that act between the AFM probe of a force sensing cantilever and a sample. In this work, the lateral force calibrations of a V-shaped cantilever were performed using the finite element method, multiple pivot loading, and thermal noise methods. As a result, it was shown that the multiple pivot loading method was appropriate for the lateral force calibration of a V-shaped cantilever. Further, through crosschecking of the abovementioned methods, it was concluded that the thermal noise method could be used for determining the lateral spring constants as long as the lateral deflection sensitivity was accurately determined. To obtain the lateral deflection sensitivity from the sticking portion of the friction loop, the contact stiffness should be taken into account.

• Child Health Nursing Research
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• 제10권2호
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• pp.205-216
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• 2004

Purpose: The purpose was to investigate the factors influencing alcohol consuming behavior of the female university students to provide the basic data for a nursing intervention program to improve health and prohibit of alcohol consuming behavior. Method: The subjects were 134 female university students, studying at K university and K educational university in Chungnam province from April 1 to 20, 2002. The instruments were the alcohol consuming behavior scale, that is drinking intensity score, and alcohol problem developed by Shin(1998), refusal self-efficacy scale by Aas et. al.(1995), alcohol expectancy by Goldman at. al.(1989), TPQ scale by Cloninger(1991), depression scale modified by Shin(1977) using Zung(1965)' tool, family cohesion scale by Olson at. al.(1983). The data were analyzed using descriptive statistics, Pearson correlation coefficient, canonical correlation and stepwise multiple regression. Result: The most powerful predictor of alcohol consuming behavior was influence of friends-drinking(21.0％). A combination of economic status(8.0％), and personality of novelty seeking(3.0％), accounted for 32.0％ of the variance in alcohol consuming behavior. Conclusion: I recommended that economic status, influence of friends drinking frequently, and personality of novelty seeking were contained of the developing nursing intervention program for decreasing the alcohol consuming behavior in female university students.

• 한국컴퓨터정보학회논문지
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• 제19권1호
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• pp.23-30
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• 2014

이미지 기술자(descriptor)를 이용한 정합은 최근까지 컴퓨터 비전과 패턴인식 분야에서 사용되고 있는 강력한 정합 방법이다. 그러나 3차원 시점이 변화되거나 밝기가 변화된 이미지, 반복된 패턴이 포함된 이미지 등에서 잘못된 정합들이 발생한다. 본 논문에서는 반복된 패턴이 포함되어 있는 이미지에서 잘못된 정합들이 많이 발생하는 문제점에 대해 기술하고 이를 분석하여 잘못된 정합들을 제거할 수 있는 방법을 제안한다. MDMF(Multiple Descriptors-based Mismatch Filtering) 방법은 각 특징점에 대해 인접한 여러 개의 특징점들의 기술자들을 사용하여 다중 기술자를 생성한 후 이를 활용하여 잘못된 정합들을 제거한다. 실험에서는 크기 변환, 회전 변환, 어파인 변환에 대해 기존 SIFT와 ASIFT의 정합율을 MDMF를 이용해 제거한 정합율과 비교하여 MDMF가 잘못된 정합을 성공적으로 제거할 수 있음을 보였다.

• Smart Structures and Systems
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• 제18권5호
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• pp.885-909
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• 2016

Advances in low-cost wireless sensing have made instrumentation of large civil infrastructure systems with dense arrays of wireless sensors possible. A critical issue with regard to effective use of the information harvested from these sensors is synchronized sensing. Although a number of synchronization methods have been developed, most provide only clock synchronization. Synchronized sensing requires not only clock synchronization among wireless nodes, but also synchronization of the data. Existing synchronization protocols are generally limited to networks of modest size in which all sensor nodes are within a limited distance from a central base station. The scale of civil infrastructure is often too large to be covered by a single wireless sensor network. Multiple independent networks have been installed, and post-facto synchronization schemes have been developed and applied with some success. In this paper, we present a new approach to achieving synchronized sensing among multiple networks using the Pulse-Per-Second signals from low-cost GPS receivers. The method is implemented and verified on the Imote2 sensor platform using TinyOS to achieve $50{\mu}s$ synchronization accuracy of the measured data for multiple networks. These results demonstrate that the proposed approach is highly-scalable, realizing precise synchronized sensing that is necessary for effective structural health monitoring.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권10호
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• pp.5179-5196
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• 2019

To explore an effective non-invasion medical imaging diagnostics approach for hepatocellular carcinoma (HCC), we propose a method based on adopting the multiple technologies with the multi-parametric data fusion, transfer learning, and multi-scale deep feature extraction. Firstly, to make full use of complementary and enhancing the contribution of different modalities viz. multi-parametric MRI images in the lesion diagnosis, we propose a data-level fusion strategy. Secondly, based on the fusion data as the input, the multi-scale residual neural network with SPP (Spatial Pyramid Pooling) is utilized for the discriminative feature representation learning. Thirdly, to mitigate the impact of the lack of training samples, we do the pre-training of the proposed multi-scale residual neural network model on the natural image dataset and the fine-tuning with the chosen multi-parametric MRI images as complementary data. The comparative experiment results on the dataset from the clinical cases show that our proposed approach by employing the multiple strategies achieves the highest accuracy of 0.847±0.023 in the classification problem on the HCC differentiation. In the problem of discriminating the HCC lesion from the non-tumor area, we achieve a good performance with accuracy, sensitivity, specificity and AUC (area under the ROC curve) being 0.981±0.002, 0.981±0.002, 0.991±0.007 and 0.999±0.0008, respectively.

• Journal of Nutrition and Health
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• 제28권7호
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• pp.644-652
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• 1995

The purpose of this study was to examine the relationship between sugar intake and behavioral problems in Korean school children. The subjects were 280 school children lived in Soung Nam city. Nutrient and sugar intakes were measured by 24-hour recall method and food frequency method through personal interview. Hyperactivity scores of children were measured by teacher and mother using conners Rating Scale-Revised. The average daily total sugar intake for the total sample was 63.0$\pm$37.4g(Range : 10g-220g). The result of stepwise multiple regression analysis using the sugar intake as dependent variable showed that energy, participation of school lunch program, Vit B2, protein, education of fathers, niacin, calcium are significant explanatory variables, explaining 44.8% of variation. As a result of the Conners scale test by teacher, 4% of children were Attention Deficit Hyperactivity Disorder(ADHD) children. A result of the Conners scale test by mother, 8% of children were ADHD children. The result of simple regression analysis had not shown significant relationship between sugar intake and ADHD scores. But the result of the Conners test by teacher, sugar intake(69.9$\pm$37.1g) of ADHD children were significantly higher than sugar intake(62.9$\pm$37.7g) of normal children(p<0.01).

• 한국시뮬레이션학회논문지
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• 제21권2호
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• pp.59-67
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• 2012

그리드 컴퓨팅은 하나의 대용량 작업을 처리하도록 물리 자원을 구성하고 있지만 최근에는 데이터의 급속한 증가로 인해서 복수개의 작업을 처리하는 방법이 필요하다. 일반적으로 대용량 작업을 요청하면 각 물리 자원들이 작업을 분할하게 되며, 자원의 성능과 거리에 따라 처리 시간이 다르다. 성능에 따라 먼저 완료된 유효자원은 어떠한 작업도 하지 않으며, 모든 작업이 끝났을 경우에 다음 작업을 처리한다. 이에 본 논문에서는 먼저 처리가 완료된 자원을 다른 작업에 할당할 수 있는 동적 자원 재배치 스케줄링 모델(DRRSM: Dynamic Resource Reallocation Scheduling Model)을 제안한다. DRRSM은 먼저 처리가 완료된 자원을 다른 작업에 자원의 성능과 거리에 따라 작업을 재배치시키는 방법이다. DRRSM은 여러 개의 대용량 작업을 처리하는데 효과적이다.

• 한국치위생학회지
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• 제16권4호
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• pp.643-649
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• 2016

Objectives: The purpose of the study was to investigate the relationship between professor trust and learning flow in allied health students and to provide the basic data for the improvement of curriculum and teaching method. Methods: A self-reported questionnaire was filled out by 263 allied health students. The questionnaire consisted of 27 questions of professor trust by Likert 5 scale and 29 questions of learning flow by Likert 6 scale. Cronbach's alpha in this study was 0.97 in professor trust, 0.96 in learning flow. The data were analyzed using descriptive statistics, independent t-test, one-way ANOVA, correlation and stepwise multiple regressions. Results: The score was 3.72 in professor trust and 3.46 in learning flow. There were positive correlations between learning flow and professor trust including intimacy, professional, teaching skills and leadership. Stepwise multiple regression analysis revealed that learning flow was related with professor trust. Conclusions: The learning flow depends on professor trust. Based on the research, improvement directions that put strong emphasis on low section of professor trust and learning flow must be placed.

• 한국운동역학회지
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• 제30권1호
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• pp.83-91
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• 2020

Objective: The study aimed to develop a functional performance index that evaluates the functional performance of Parkinson's patients, i.e., to integrate biomechanical measurements of walking, balance, muscle strength and tremor, and to use multiple linear regression with stepwise methods to identify the most suitable predictors for the progression of disease. Method: A total of 60 subjects were tested for sub-variables of four factors: walking, balance, isometric strength and hand tremors. Potential independet variables were extracted through correlation analysis of the sub-variables and dependent variables, Hoehn & Yahr scale. And then, a stepwise multiple regression analysis using the potential independent variables was performed to identify predictor of Hoehn & Yahr scale. Results: First, the results of the study showed that physical composition and gait had a relatively more correlated with the progression of the disease, compared to balance and hand tremor. Second, Parkinson's functional performance is characterized by dynamic pattern of walking, such as foot clearance and turning angle (TA) of walking, and a high-explained regression model is completed. Conclusion: The study emphasized the importance of walking variables and body composition in minor pathological features compared to Parkinson's patient's balancing ability and hand tremor. Specifically, it revealed that dynamic walking patterns functionally characterize patients. The results are worth considering when assessing functional performance related to the progression of the disease at the site.

• 대한간호학회지
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• 제36권5호
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• pp.829-836
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• 2006

Purpose: The purpose of the present study was to identify prevalence of excessive daytime sleepiness(EDS) and its associations with sleep habits, sleep problems, depression, subjective health status and obesity in community dwelling adults. Method: Data was collected from adults aged 20-59 years by random sampling. Subjects completed a questionnaire which was composed of the Epworth Sleepiness Scale, Center for Epidemiologic Studies Depression Scale, and questions that included items about sleep habits, sleep problems, subjective health status and sociodemographic characteristics. Height and weight were measured for calculation of body mass index. The statistical analyses was based on 3,302 adults (51.5% males and 48.5% females). Descriptive statistics, univariate logistic regression and multiple logistic regression were used. Result: The prevalence of EDS was 17.1% Multiple logistic regression showed that the associated factors of EDS were depression, obesity, dissatisfaction with sleep time, irregular sleep, and habitual snoring. Depression was the most significant associated factor(adjusted odds ratio for severe depression=2.27, 95% Confidence Interval=1.73-2.96). Conclusion: EDS is a common symptom in adults. Our finding suggested that persons with a complaint of EDS should be completely assessed for depression and obesity as well as sleep problems.