• 한국조리학회지
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• 제23권2호
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• pp.45-55
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• 2017

친환경농산물의 생산은 생태계 보호와 자연환경을 보존하여 인간이 살아 갈 수 있는 자연환경의 지속적 유지에 궁극적인 목적이 있다고 할 수 있겠다. 이와 같은 사회적 분위기에서 미래의 주역이 될 대학생들의 친환경농산물에 대한 가치관과 환경적 태도는 매우 중요한 의미가 있다고 할 수 있겠다. 본 연구는 대학생들의 친환경 소비가치관, 친환경적 태도, 구매의도간의 인과관계를 검정함에 친환경농산물의 신뢰의 조절효과를 검정하기 위하여 부산지역 대학생들을 대상으로 설문조사를 진행하였다. 2016년 10월 15일부터 30일까지 설문지를 나누어 배포하고, 그중 261부를 SPSS(V 23.0)와 AMOS(V 21.0) 프로그램을 사용하여 빈도분석, 신뢰도 분석 및 확인적 요인 분석, 구조방정식 모형(Structural Equation Modeling)과 두 모형사이의 자유도를 고려한 Chi-square를 비교하여 구매횟수의 조절효과성을 검정하였다. 분석결과, 대학생들의 친환경농산물에 대한 가치관은 친환경적 태도와의 인과관계를 확인할 수 있었고, 소비자 신뢰는 친환경적 태도와 구매의도사이에서 조절효과를 나타내었다. 따라서 정부나 지방단체에서는 미래의 주역이 될 대학생들의 친환경농산물에 대한가치관과 친환경적 태도 및 구매의도와의 인과관계가 확인되었기 때문에, 미래의 친환경농산물 정책을 보다 적극적으로 추진하는 것이 필요할 것으로 사료된다.

• 한국융합학회논문지
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• 제12권12호
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• pp.519-528
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• 2021

본 연구는 간호 대학생을 대상으로 시뮬레이션 기반 인수인계 교육프로그램을 적용하여 학생들의 인수인계 수행능력과 인수인계 자신감에 미치는 효과를 검증하고자 한다. K도 소재 P시와 A시 소재 간호 대학생 104명에게 사전·사후 실험설계의 비동등성 대조군 유사 실험연구를 수행하였다. 자료 수집 기간은 2017년 10월 30일부터 11월 10일까지이며, 수집된 자료 분석은 SPSS WIN 21.0 프로그램을 이용하여 x² test, Fisher's exact test, independent t-test, ANCOVA with pretest value as covariate를 실시하였다. 효과를 검증한 결과 인수인계 수행능력에서 유의한 차이가 있는 것으로 나타났다. 본 연구에서 개발된 시뮬레이션 기반 인수인계 교육 프로그램은 간호대학생의 인수인계 수행능력을 증진하는 데 효과적인 인수인계 교육 프로그램으로 적용될 수 있을 것이다.

• Korean Journal of Radiology
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• 제24권9호
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• pp.849-859
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• 2023

Objective: The prognostic value of the volume and density of skeletal muscles in the abdominal waist of patients with colon cancer remains unclear. This study aimed to investigate the association between the automated computed tomography (CT)-based volume and density of the muscle in the abdominal waist and survival outcomes in patients with colon cancer. Materials and Methods: We retrospectively evaluated 474 patients with colon cancer who underwent surgery with curative intent between January 2010 and October 2017. Volumetric skeletal muscle index and muscular density were measured at the abdominal waist using artificial intelligence (AI)-based volumetric segmentation of body composition on preoperative pre-contrast CT images. Patients were grouped based on their skeletal muscle index (sarcopenia vs. not) and muscular density (myosteatosis vs. not) values and combinations (normal, sarcopenia alone, myosteatosis alone, and combined sarcopenia and myosteatosis). Postsurgical disease-free survival (DFS) and overall survival (OS) were analyzed using univariable and multivariable analyses, including multivariable Cox proportional hazard regression. Results: Univariable analysis showed that DFS and OS were significantly worse for the sarcopenia group than for the non-sarcopenia group (P = 0.044 and P = 0.003, respectively, by log-rank test) and for the myosteatosis group than for the non-myosteatosis group (P < 0.001 by log-rank test for all). In the multivariable analysis, the myosteatotic muscle type was associated with worse DFS (adjusted hazard ratio [aHR], 1.89 [95% confidence interval, 1.25-2.86]; P = 0.003) and OS (aHR, 1.90 [95% confidence interval, 1.84-3.04]; P = 0.008) than the normal muscle type. The combined muscle type showed worse OS than the normal muscle type (aHR, 1.95 [95% confidence interval, 1.08-3.54]; P = 0.027). Conclusion: Preoperative volumetric sarcopenia and myosteatosis, automatically assessed from pre-contrast CT scans using AI-based software, adversely affect survival outcomes in patients with colon cancer.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.735-739
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• 2005

This paper presents a new system to estimate the head pose of human in interactive indoor environment that has dynamic illumination change and large working space. The main idea of this system is to suggest a new morphological feature for estimating head angle from stereo disparity map. When a disparity map is obtained from stereo camera, the matching confidence value can be derived by measurements of correlation of the stereo images. Applying a threshold to the confidence value, we also obtain the specific morphology of the disparity map. Therefore, we can obtain the morphological shape of disparity map. Through the analysis of this morphological property, the head pose can be estimated. It is simple and fast algorithm in comparison with other algorithm which apply facial template, 2D, 3D models and optical flow method. Our system can automatically segment and estimate head pose in a wide range of head motion without manual initialization like other optical flow system. As the result of experiments, we obtained the reliable head orientation data under the real-time performance.

• Computers and Concrete
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• 제21권5호
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• pp.485-493
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• 2018

Statistical analysis has found useful application in the design of experiments (DOE) especially optimization of concrete ingredients however, to be able to apply the concept properly using computer aided applications there has to be an upper and lower limits of responses fed to the system. In this study, the production of high-performance steel fiber concrete (HPSFC) at five different fiber addition levels by volume with two aspect ratios of 60 and 83 were studied under two curing methods completely dry cured (DC) and moist cured (MC) conditions. In other words, this study was carried out for those limits based on material properties available in North Cyprus. Specimens utilized were cubes 100 mm size casted and cured for 28 days and tested for compressive strength. Minitab 18 statistical software was utilized for the analysis of results at a 5 per cent level of significance. Experimentally, it was observed that, there was fluctuation in compressive strength results for the two aspect ratios and curing regimes. On the other hand P-value hypothesis evaluation of the response showed that at the stated level of significance, there was a statistically significant difference between dry and moist curing conditions. Upper and lower limit values were proposed for the response to be utilized in DOE for future studies based on these material properties. It was also suggested that for a narrow confidence interval and accuracy of the system, future study should increase the sample size.

• Nuclear Engineering and Technology
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• 제46권6호
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• pp.725-736
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• 2014

It is very important to detect and identify small anomalies and component failures for the safe operation of complex and large-scale artifacts such as nuclear power plants. Each diagnostic technique has its own advantages and limitations. These facts inspire us not only to enhance the capability of diagnostic techniques but also to integrate the results of diagnostic subsystems in order to obtain more accurate diagnostic results. The article describes the outline of four diagnostic techniques developed for the condition monitoring of the fast breeder reactor "Monju". The techniques are (1) estimation technique of important state variables based on a physical model of the component, (2) a state identification technique by non-linear discrimination function applying SVM (Support Vector Machine), (3) a diagnostic technique applying WT (Wavelet Transformation) to detect changes in the characteristics of measurement signals, and (4) a state identification technique effectively using past cases. In addition, a hybrid diagnostic system in which a final diagnostic result is given by integrating the results from subsystems is introduced, where two sets of values called confidence values and trust values are used. A technique to determine the trust value is investigated under the condition that the confidence value is determined by each subsystem.

• 한국의류산업학회지
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• 제5권3호
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• pp.227-234
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• 2003

The purpose of this study is to investigate how the Post-modernism social cultural pattern has been reflected in collar of costume. In the classes social, collar in costume is the expressive medium of ideology and status symbol such as Passium of ancian Ezypt and Byzantin collar which is examined religion belif. The conspicuous function of collar can be examed as the ruff collar, which is the expressive medium of self-confidence, but the whisk collar and the flat collar means decline the authorized conspicous function. In the cultural pattern of Post-modernism, collar in costume presents the coexistence of double-sides value such as androgyny, dividinism and eclecticism. For example, the tailored collar or shirt collar in women's suit with delicate materials express the self-confidence, energy and intelligence, and the round collar or the draped collar in men's suit with rough material express the sensibility and liberty. In the deconstructivity through breaking the basis form of the collar, callar can be transformed in to sleeve, cape or hat on occasion. In conclusion, the function of collar changes by the cultural pattern and expresses the spirit.

• Structural Engineering and Mechanics
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• 제29권2호
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• pp.187-201
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• 2008

Earthquake induced hysteretic energy demand for a structure can be used as a limiting value of a certain performance level in seismic design of structures. In cases where it is larger than the hysteretic energy dissipation capacity of the structure, failure will occur. To be able to select the limiting value of hysteretic energy for a particular earthquake hazard level, it is required to define the variation of hysteretic energy in terms of probabilistic terms. This study focuses on the probabilistic evaluation of earthquake induced worst failure probability and approximate confidence intervals for inelastic single-degree-of-freedom (SDOF) systems with a typical steel moment connection based on hysteretic energy. For this purpose, hysteretic energy demand is predicted for a set of SDOF systems subject to an ensemble of moderate and severe EQGMs, while the hysteretic energy dissipation capacity is evaluated through the previously published cyclic test data on full-scale steel beam-to-column connections. The failure probability corresponding to the worst possible case is determined based on the hysteretic energy demand and dissipation capacity. The results show that as the capacity to demand ratio increases, the failure probability decreases dramatically. If this ratio is too small, then the failure is inevitable.

• Journal of Information Processing Systems
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• 제15권2호
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• pp.331-343
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• 2019

Dynamic thermal rating of the overhead transmission lines is affected by many uncertain factors. The ambient temperature, wind speed and wind direction are the main sources of uncertainty. Measurement uncertainty is an important parameter to evaluate the reliability of measurement results. This paper presents the uncertainty analysis based on Monte Carlo. On the basis of establishing the mathematical model and setting the probability density function of the input parameter value, the probability density function of the output value is determined by probability distribution random sampling. Through the calculation and analysis of the transient thermal balance equation and the steady- state thermal balance equation, the steady-state current carrying capacity, the transient current carrying capacity, the standard uncertainty and the probability distribution of the minimum and maximum values of the conductor under 95% confidence interval are obtained. The simulation results indicate that Monte Carlo method can decrease the computational complexity, speed up the calculation, and increase the validity and reliability of the uncertainty evaluation.

• Journal of Information Processing Systems
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• 제16권5호
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• pp.1145-1157
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• 2020

A convolution neural networks (CNNs) has demonstrated outstanding performance compared to other algorithms in the field of face recognition. Regarding the over-fitting problem of CNN, researchers have proposed a residual network to ease the training for recognition accuracy improvement. In this study, a novel face recognition model based on game theory for call-over in the classroom was proposed. In the proposed scheme, an image with multiple faces was used as input, and the residual network identified each face with a confidence score to form a list of student identities. Face tracking of the same identity or low confidence were determined to be the optimisation objective, with the game participants set formed from the student identity list. Game theory optimises the authentication strategy according to the confidence value and identity set to improve recognition accuracy. We observed that there exists an optimal mapping relation between face and identity to avoid multiple faces associated with one identity in the proposed scheme and that the proposed game-based scheme can reduce the error rate, as compared to the existing schemes with deeper neural network.