• The Mathematical Education
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• v.47 no.4
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• pp.487-503
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• 2008

In this paper, descriptive assessment method for middle school mathematics was evaluated by developing a framework for designing and grading problems for descriptive assessment and analyzing the effectiveness of the problems. The new descriptive assessment problems were developed by reviewing the current 7th National Mathematics Curriculum of Korea and aligned mathematics textbooks to define a set of problem design principles and evaluation framework for the assessment strategy. The developed problems were first pilot tested and then revised based on the feedback from the test. The final version was field tested by 100 students in 7th grade middle school. After the field test, the problems were graded by two middle school math teachers and one math education researcher to determine the overall correlation between graders and also to analyze effectiveness of the evaluation framework of the test. This result of this study is expected to assist in the further development of descriptive problems and grading framework by providing a reference work for teachers to better understand the process and the limitations of executing the new assessment strategy.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.6
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• pp.843-852
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• 2002

The purpose of this study was to propose a computer-based grading method for men's formal wear according to the sizing systems based on the size and dimension whereby manufactured men's formal wear can be classified. The following procedures were as follows : 1) We surveyed the sizing systems and the computer-grading methods that have been used and presently practiced by the domestic garment industry of the ready-made men's wear. 2) Using the survey data of the domestic men's ready-made clothing industry and that of the National Anthropometric Survey of Korea in 1997, we proposed the new sizing and grading systems of men's formal wear within the framework of the Korean Garment Industry's directions and the data of the domestic men's ready-made clothing industry. 3) The suitability of the new grading systems to the domestic garment industry were put to a wearing teat. The findings were as follows : 1) Survey of the domestic ready-made garment industry showed that each company classified its own manufactured goods according to its own sizing and grading systems. 2) The superiority of the grading system was been demonstrated by a high approval rate of the subjects who participated in the testing.

• Urogenital Tract Infection
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• v.13 no.3
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• pp.45-50
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• 2018

The Institute of Medicine in its report "Clinical Practice Guidelines we can trust" defined standards for clinical practice guidelines. However, many guidelines continue to rely on expert opinion and lack a formal framework for moving from evidence to recommendations. These guidelines may or may not be labeled as "consensus statements" and do not meet contemporary standards for guideline documents we would refer to as "evidence-based". Therefore, the Grading of Recommendations Assessment, Development and Evaluation working group developed a novel, rigorous and transparent approach to grading certainty (quality) of evidence. In addition, it created a system for "moving from evidence to decisions", for example for the development of evidence-based guidelines. In this article, we aim to introduce this approach to appraising the certainty of relevant evidence and estimate the benefits and detriments of health care interventions within the larger context of evidence-based medicine.

• Korean Medical Education Review
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• v.24 no.3
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• pp.180-192
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• 2022

Research suggests that medical students frequently experience mental health problems such as stress, burnout, and depression, which may, in turn, affect suicidal ideation and behaviors. Since mental health problems profoundly impact academic achievement and professionalism, it is vital to understand factors influencing students' mental health and identify strategies to provide the necessary support. Some relevant influencing factors range from the personal level, including gender, personality traits, perfectionism, and social support, to the environmental level, including the grading system, educational phases, exposure to patients' death, mistreatment, and culture of medicine. In this regard, a comprehensive mental health support system that encompasses environmental interventions, as well as personal-level support, is needed. Simultaneously, proactive approaches that address the improvement of self-care and alleviation of systemic burdens are essential, together with the predominant reactive approaches focusing on problems and deficits. Altogether, we proposed a framework for enhancing mental health constructed by four categories (personal-reactive, environmental-reactive, personal-proactive, environmental-proactive) based on the intervention level and goal of support. All four categories have important implications, and one cannot replace the other, but expanding environmental-proactive support will allow more students to learn how to pursue health independently. We expect that this comprehensive framework for enhancing mental health could expand support systems for medical students' personal and professional development.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.44 no.1
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• pp.63-73
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• 2024

Autonomous vehicles at Levels 3 to 5, currently under global research and development, seek to replace the driver's perception, judgment, and control processes with various sensors integrated into the vehicle. This integration enables artificial intelligence to autonomously perform the majority of driving tasks. However, autonomous vehicles currently obtain temporary driving permits, allowing them to operate on roads if they meet minimum criteria for autonomous judgment abilities set by individual countries. When autonomous vehicles become more widespread in the future, it is anticipated that buyers may not have high confidence in the ability of these vehicles to avoid hazardous situations due to the limitations of temporary driving permits. In this study, we propose a method for grading the judgment abilities of autonomous vehicles based on a driving simulator experiment comparing and evaluating drivers' abilities to avoid hazardous situations. The goal is to derive evaluation criteria that allow for grading based on specific scenarios and to propose a framework for grading autonomous vehicles. Thirty adults (25 males and 5 females) participated in the driving simulator experiment. The analysis of the experimental results involved K-means cluster analysis and independent sample t-tests, confirming the possibility of classifying the judgment abilities of autonomous vehicles and the statistical significance of such classifications. Enhancing confidence in the risk-avoidance capabilities of autonomous vehicles in future hazardous situations could be a significant contribution of this research.

• Magazine of the Korean Society of Agricultural Engineers
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• v.32 no.4
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• pp.61-70
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• 1990

In rural settlement planning, its spatial development framework should be constructed on the basis of the hierachial settlement system. However, up to now, there does not exist widely - accepted model on rural settlement hierachy. In this study the basic planning principles and directions on the modelling of the settlement hireachy in rural areas have been consolidated through theoretical study and situational analysis on planning environments. And also, a new yardstick on the grading of the middle - level centers between villages and rural towns has been tried to find out. The research resulted that the existance of periodical rural market might be used as a simple and innovative yardstick on the hierachial ordering of rural settlement system. Based on the above results, an alternative 4 - step model of rural settlement hierachy was proposed ; Rural Town(county hall sitted) -Market Center(having standard periodical market) - Village Center(having no market) - Village. Finally, because the conclusion has been made by very limited case studies and several previous works, there should need continuous studies and checks in future for full reasoning of the proposed model.

• Structural Engineering and Mechanics
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• v.81 no.4
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• pp.461-479
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• 2022

A finite element method analysis framework is introduced for the free vibration analyses of functionally graded porous beam structures by employing two variables trigonometric shear deformation theory. Both Young's modulus and material density of the FGP beam element are simultaneously considered as grading through the thickness of the beam. The finite element approach is developed using a nonlocal strain gradient theory. The governing equations derived here are solved introducing a 3-nodes beam element. A comprehensive parametric study is carried out, with a particular focus on the effects of various structural parameters such as the dispersion patterns of GPL reinforcements and porosity, thickness ratio, boundary conditions, nonlocal scale parameter and strain gradient parameters. The results indicate that porosity distribution and GPL pattern have significant effects on the response of the nanocomposite beams.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.50-53
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• 2016

Image processing techniques play an increasingly important role in many aspects of our daily life. For example, it has been shown to improve agricultural productivity in a number of ways such as plant pest detecting or fruit grading. However, massive quantities of images generated in real-time through multi-devices such as remote sensors during monitoring plant growth lead to the challenges of big data. Meanwhile, most current image processing systems are designed for small-scale and local computation, and they do not scale well to handle big data problems with their large requirements for computational resources and storage. In this paper, we have proposed an IPABigData (Image Processing Algorithm BigData) platform which provides algorithms to support large-scale image processing in agriculture based on Hadoop framework. Hadoop provides a parallel computation model MapReduce and Hadoop distributed file system (HDFS) module. It can also handle parallel pipelines, which are frequently used in image processing. In our experiment, we show that our platform outperforms traditional system in a scenario of image segmentation.

• ETRI Journal
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• v.46 no.1
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• pp.82-95
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• 2024

As automated essay scoring (AES) has progressed from handcrafted techniques to deep learning, holistic scoring capabilities have merged. However, specific trait assessment remains a challenge because of the limited depth of earlier methods in modeling dual assessments for holistic and multi-trait tasks. To overcome this challenge, we explore providing comprehensive feedback while modeling the interconnections between holistic and trait representations. We introduce the DualBERT-Trans-CNN model, which combines transformer-based representations with a novel dual-scale bidirectional encoder representations from transformers (BERT) encoding approach at the document-level. By explicitly leveraging multi-trait representations in a multi-task learning (MTL) framework, our DualBERT-Trans-CNN emphasizes the interrelation between holistic and trait-based score predictions, aiming for improved accuracy. For validation, we conducted extensive tests on the ASAP++ and TOEFL11 datasets. Against models of the same MTL setting, ours showed a 2.0% increase in its holistic score. Additionally, compared with single-task learning (STL) models, ours demonstrated a 3.6% enhancement in average multi-trait performance on the ASAP++ dataset.

• Journal of Educational Research in Mathematics
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• v.18 no.3
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• pp.335-352
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• 2008

The purpose of this research was to investigate the descriptive evaluation method that focuses on the problem solving process of the student. The goal was to evaluate the students' understanding of the subject rather than the students' ability to find the final answer. The descriptive evaluation is being suggested as a way of examining the thought process of the student by performing a structured analysis of the problem solving process. Today, there are not enough descriptive evaluation resources available for teachers to effectively carry out this alternative assessment method in the elementary school mathematics curriculum. This research is a case study on the development of resources for descriptive evaluation in grade 4 mathematics. We designed the development process for descriptive evaluation and its rubric for all 8 units of the 4-Na level of mathematics in the elementary school curriculum. Three descriptive problems were developed for each of the 8 units for a total of 24 problems. The rubric consisted of three areas of assessment, 1) understanding of the problem, 2) problem solving, and 3) mathematical communication. The problems were first pilot tested in two 4th grade classes. Modified problems were then tested in a different 4th grade classroom. The study showed that the three defined areas of evaluation framework (problem understanding, problem solving and mathematical communication) were measurable and analyzable using the developed grading rubric. We then conclude that he descriptive evaluation could be used as an effective tool for improving teacher performance in elementary school mathematics.