• 한국치위생학회지
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• 제9권3호
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• pp.536-544
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• 2009

Purpose : This study aimed to examine the relationship between intragroup peer evaluation and self-directed learning readiness(SDLR) in an Introduction to Education class that used a team based learning(TBL). Moreover, it identified the specific components of the SDLR that predicted the peer evaluation results. Method : The research subject pool comprised of 87 $1^{st}$ students in D Health College. Each team was composed of 6~8 members, each of whom evaluated all other members on his or her team SDLR was measured by using SDLR-K-96. Results : SDLR and peer assessment scores had a positive relationship, confirming that SDLR was an important variable that could predict the peer evaluation scores. Among the SDLR factors, 'openness to challenge' and 'self-confidence as a learner' was shown to have the predictive power for the peer assessment. Conclusion : The colleges should provide dental hygiene students with learning opportunities on ability to do self-directed learning through diverse learning methods such as team based learning.

• Bulletin of the Korean Chemical Society
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• 제31권11호
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• pp.3084-3092
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• 2010

This paper describes the development of an automated, hand-held sensor for the fast assessment of seafood freshness. The sensor developed here combined: an array-based chemical sensor, composed of incrementally different conducting polymer elements deposited on a small chip; a highly sensitive, custom-made electronics for the detection of very small signal changes; precise temperature control of the sensor chamber; and an on-board microcontroller for data collection, storage, automation, and analysis. The instrument was used to successfully test seafood samples with different degree of freshness and spoilage. A linear relationship between microbiological count and e-Nose signal for three different fish fillet was developed. Once the linear relationship is included into the hand-held unit software, the e-Nose signal can be used for assessment of seafood freshness without performing the microbiological count technique.

• 한국프랜차이즈경영연구
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• 제11권1호
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• pp.19-29
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• 2020

Purpose - To understand the assessment basis of customers' coffee shop experience and give more practical advices to the franchised coffee shops which are poorly managed in the competitive market, this study identified factors to measure the quality of customer experience and explored the relationship between these factors and customer satisfaction and loyalty. Further, this study analyzed which role self-efficacy played in the structural relationship between the quality assessment factors, satisfaction and loyalty of franchised coffee shops. Research design, data, methodology - The data were collected from respondents who had visited franchised coffee shops within the previous month through online survey. The questionnaires were surveyed from February 11 to February 14, 2019. A total of 318 responses were collected after excluding four of incomplete or uncandid responses. A structural equation modeling approach was used to examine the proposed hypothesis and a confirmatory factor analysis was employed to verify the four dimensions of quality assessment. Results - The findings of this study are as follows. First, the three of quality assessment variables significantly influenced on satisfaction except environmental quality. Second, economic and service quality significantly influenced on self-efficacy but environmental and menu quality didn't. Third, satisfaction significantly influenced on loyalty but not on self-efficacy. Fourth, self-efficacy significantly influenced on Loyalty. Conclusions - This study identified the four dimensions to assess the franchised coffee shop service - menu, environment, service and economic quality and verified these four dimensions are valid as indicators to measure the quality of customers' coffee shop experience. Further, by empirically testing the structural relationships among these quality assessment dimensions, satisfaction, self-efficacy and loyalty, this study provided theoretical foundations to explore the relationship between customer and the franchised stores in restaurant businesses. For the industry, the study findings showed that customers highly appreciated menu and economic quality of the service rather than the stores' interior. This indicate that the franchised coffee shops need to focus more on the basics of coffee such as taste and menu variety and economic value than the decoration of the store, which are often over-invested nowadays.

• 동력기계공학회지
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• 제21권1호
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• pp.43-49
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• 2017

This work aims to investigate on the low cycle fatigue life assessment, which is adopted on the strain-life relationship, or better known as the Coffin-Manson relationship, and also the strain energy density-based model. The low cycle fatigue test results of Alloy 617 weldments under $900^{\circ}C$ have been statistically estimated through the Coffin-Manson relationship according to the provided strain profile. In addition, the strain energy density-based model is proposed to represent the energy dissipated per cycle as fatigue damage parameter. Based on the results, Alloy 617 weldments followed the Coffin-Manson relationship and strain energy density-based model well, and they were compatible with the experimental data. The predicted lives based on these two proposed models were examined with the experimental data to select a proper life prediction parameter.

• Environmental Analysis Health and Toxicology
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• 제24권2호
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• pp.79-93
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• 2009

오염물질에 대한 생태위해성평가(ecological risk assessment)를 위해서는 노출평가(exposure assessment)와 함께 생물영향에 대한 평가(effect assessment)를 수행해야 한다. 노출평가의 경우는 지화학적 과정에 대한 이해를 바탕으로 환경농도를 예측하기 위한 화학평형모델이나 다매체환경거동모델 등 다양한 평가 및 예측모델을 활용해 왔다. 이와 달리 생물영향평가는 실험실 조건에서 제한된 독성자료를 대상으로 외부노출농도에 기반한 농도-반응관계를 통계적 방법을 통해서 추정하는 '경험적 모델(empirical model)'에 주로 의존해 왔다. 최근에 와서 생체 내 잔류량을 기반으로 농도-시간-반응관계를 기술하고 예측하는 독성동태학 및 독성역학 모델(toxicokinetic-toxicodynamic model)과 같은 독성작용에 기반한 모델(processbased model)들이 개발되어 활용되고 있다. 본 논문에서는 여러 종류의 독성동태학 및 독성역학 모델을 소개하고, 이를 통계적 추론에 기반한 전통적인 독성학 모델과 비교하였다. 서로 다른 종류의 독성동태학 및 독성역학 모델로부터 도출된 노출농도-시간 -반응관계식을 비교하고, 동일 독성기작을 보이는 오염물질 그룹 내에서 미측정 오염물질의 독성을 예측할 수 있게 해주는 구조-활성관계(Quantitative Structure-Activity Relationship, QSAR) 모델을 여러 독성동태 및 독성역학모델로부터 유도하였다. 마지막으로 독성동태학 및 독성역학 파라미터를 추정하기 위한 실험계획을 제안하였고, 앞으로 독성동태학 및 독성역학 모델을 생태계 위해성평가에 활용하기 위해서 해결해야 될 연구과제를 검토하였다.

• 한국안전학회지
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• 제38권4호
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• pp.54-59
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• 2023

The relationship between near misses and major accidents can be confirmed using the ratios proposed by Heinrich and Bird. Systematic reviews of previous national and international studies did not reveal the assessment process used in near-miss management systems. In this study, a model was developed for assessing near misses and major factors were derived through case application. By reviewing national and international literature, 14 factors were selected for each dimension of the P2T (people, procedure, technology) model. To identify the causal relationship between accidents and these factors, a near-miss assessment model was developed using a Bayesian network. In addition, a sensitivity analysis was conducted to derive the major factors. To verify the validity of the model, near-miss data obtained from the ethylene production process were applied. As a result, "PE2 (education)," "PR1 (procedure)," and "TE1 (equipment and facility not installed)" were derived as the major factors causing near misses in this process. If actual workplace data are applied to the near-miss assessment model developed in this study, results that are unique to the workplace can be confirmed. In addition, scientific safety management is possible only when priority is given through sensitivity analysis.

• 한국가정과교육학회지
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• 제30권1호
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• pp.65-77
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• 2018

이 연구의 목적은 2015 개정 교육과정의 주생활 영역 수업을 통해 교과역량 중 관계형성 역량을 강화하기 위한 방안을 탐색하는데 있다. 이를 위해 2015 개정 기술 가정 교과의 교육과정 문서와 교육과정 성취기준 및 평가준거 성취기준 및 평가기준 문서를 분석하였다. 그리고 평가기준의 동사와 교육과정 내용 체계에 제시된 기능의 내용을 비교 분석하여 교육과정이 학교 현장에서 충실히 반영될 수 있을지의 여부를 탐색하였다. 그리고 주생활 영역 수업을 통한 교과역량 중 관계형성역량을 함양하기 위한 교수 학습 및 평가 방법을 제안하여 2015 개정 교육과정이 충실히 구현될 수 있는 계획안을 제시하였다. 이를 통해 도출된 연구 결과는 다음과 같다. 첫째, 2015 개정 기술 가정 교과의 교육과정 문서에는 교과역량 세 가지를 내용 영역에 따라 분리 제시하였으나, 내용 영역이 3가지 교과역량과 상호 배타적이지 않음을 보여주고 있다. 이는 인간의 능력 개발이 가진 특징 즉 하나의 학습이 하나의 역량으로만 관련되지 않음을 보여준다고 할 수 있다. 둘째, 2015 개정 교육과정 문서의 기능(skills)은 평가기준에 부분적으로 반영되어 있어서, 평가기준을 반영한 교육 평가가 이루어지는 학교 교육에서 교과역량을 평가할 체계를 충실히 반영하기 어려울 수 있음을 보여주고 있다. 따라서 본 연구에서는 교육과정을 실현하는 교사들이 다양한 교과역량을 기르기 위한 노력을 기울여야 할 필요성을 보여준다. 그리고 역량 중심 교육과정이 가진 근본적인 한계를 극복하기 위한 교사 재교육과 교사들의 교육과정 운영을 위한 교수 학습 방법과 평가 방법 개선을 위한 노력이 필요할 것이다.

• 디지털융복합연구
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• 제19권8호
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• pp.275-283
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• 2021

본 연구는 형성평가 (FA)와 총괄평가 (SA) 사이의 관계를 검사하여 대학 EFL 수업 평가 개선을 돕고자 수행되었다. 이 연구의 참여자들은 중국의 4년제 대학에서 선택적으로 8주간의 대학 영어 과정을 수강했던 75명의 학부생들이었다. FA 데이터는 온라인 교육 플랫폼인 Mosoteach를 사용하여 자기 보고식 설문 조사에 의해 코스 마지막 과정에서 수집되었다. 연구 결과를 도출하고자, Pearson 상관관계 분석을 통해 FA와 SA(기말고사 및 수행활동 점수)간의 관련성을 SPSS로 분석하였다. 전반적으로 그 두 평가 점수 간 유의미한 긍정적 상관관계가 있다는 것으로 나타났다. 학생들의 단원 평가, 온라인 토론, 브레인스토밍, 신속한 답변, 그리고 과제 수행에서 교수자들의 엄지척 클릭수와도 깊은 상관관계를 보였다. Mosoteach 앱을 통해 관리되는 FA가 학생들의 수업의 학업 성과를 향상 시킬 수 있었다는 결과는 교육 평가 개선을 위한 경험적 기반을 제공할 수 있음을 시사하였다. 이러한 연구 결과에 따라 EFL 수업 평가에 대한 중요성이 설명되었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권8호
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• pp.2053-2067
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• 2023

This paper proposes two video quality assessment methods based on deep neural network. (i)The first method uses the IQF-CNN (convolution neural network based on image quality features) to build image quality assessment method. The LIVE image database is used to test this method, the experiment show that it is effective. Therefore, this method is extended to the video quality assessment. At first every image frame of video is predicted, next the relationship between different image frames are analyzed by the hysteresis function and different window function to improve the accuracy of video quality assessment. (ii)The second method proposes a video quality assessment method based on convolution neural network (CNN) and gated circular unit network (GRU). First, the spatial features of video frames are extracted using CNN network, next the temporal features of the video frame using GRU network. Finally the extracted temporal and spatial features are analyzed by full connection layer of CNN network to obtain the video quality assessment score. All the above proposed methods are verified on the video databases, and compared with other methods.

• 한국군사과학기술학회지
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• 제20권3호
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• pp.421-430
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• 2017

In this research, we propose a methodology for assessing security vulnerability of the national defense intelligence system, considering not only target elements but also the interconnection relationship of the whole system. Existing approaches decide the security vulnerability of the whole system by assessing only target elements. However, those approaches have an issue with potentially showing the same outcome for the systems that have identical target elements but the different types of interconnection relationships. We propose a more practical assessment method which takes the interconnection relationship of a whole system into consideration based on the concept of SNA(Social Network Analysis).