• Geomechanics and Engineering
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• 제30권1호
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• pp.75-91
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• 2022

This paper aims to show how to use several Machine Learning (ML) methods to estimate the TBM penetration rate systematically (TBM-PR). To this end, 1125 datasets including uniaxial compressive strength (UCS), Brazilian tensile strength (BTS), punch slope index (PSI), distance between the planes of weakness (DPW), orientation of discontinuities (alpha angle-α), rock fracture class (RFC), and actual/measured TBM-PRs were established. To evaluate the ML methods' ability to perform, the 5-fold cross-validation was taken into consideration. Eventually, comparing the ML outcomes and the TBM monitoring data indicated that the ML methods have a very good potential ability in the prediction of TBM-PR. However, the long short-term memory model with a correlation coefficient of 0.9932 and a route mean square error of 2.68E-6 outperformed the remaining six ML algorithms. The backward selection method showed that PSI and RFC were more and less significant parameters on the TBM-PR compared to the others.

• 한국초등과학교육학회지:초등과학교육
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• 제33권1호
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• pp.172-180
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• 2014

The first purpose of this study is to distinguish difficult chapters in 'Speed of objects' chapter and find the factors which give difficulty to the teachers and students. Also, it attempts to compare the students' assessment scores with the degree of difficulty in teaching and also with the degree of difficulty in learning. This report is expected to help science teachers develop their PCK(Pedagogical Content Knowledge) for teaching the chapter professionally. 15 teachers who had taught the 'Speed of Objects' chapter and their 386 students took part in the survey to acquire information about the difficulties in teaching and learning. 386 students also received a test to examine their understandings of the chapter. The results of this study are as follow; First, the degree of teachers' and students' difficulty is only affected by the contents, and the degree of onerousness felt by teachers is higher than that of students. Second, The topics caused higher difficulty to teachers were 'Understanding the meaning of motion(2nd lesson)', 'Understanding the meaning and unit of speed(5th lesson)', 'Changing unit of speed(6th lesson)', 'Drawing a distance-time graph(7th lesson)', and 'Understanding the relative motion(10th). The topics that led higher difficulty to students were the contents of 5th, 6th, and 7th lessons. Third, the 'Speed of Objects' chapter can be divided into 4 types of difficulty according to the degree of teaching and learning; 'Strong difficulty', 'Learning difficulty', 'Weak difficulty', and 'Teaching difficulty'. Last, students showed low achievement to the tasks that were related with 'Strong difficulty' and 'Teaching difficulty'.

• 산업융합연구
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• 제22권5호
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• pp.39-48
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• 2024

코로나19로 인하여 개학연기부터 장기화된 온라인 원격수업으로 학습 손실과 교육격차에 대한 연구는 많이 진행되었으며, 대부분 교육격차 현상에 대한 연구가 주를 이루었다. 향후 이와 같은 팬데믹 상황이 온다면, 교육격차 해소를 위한 근본적인 정책이 필요하다. 근본적인 해결책은 교육격차 현상에 대한 이해뿐만 아니라 그 현상의 이면의 구조를 파악해야 한다. 따라서 본 연구는 구조주의 관점에서 코로나19로 인한 교육격차를 시스템사고의 원형으로 모델링하고 그 구조를 파악하고자 하였다. 그리고 기존의 교육격차 해소를 위한 정책들로 발생한 의도하지 않은 결과를 살펴보았다. 향후 유사한 재난상황에 대응하기 위해 본 연구의 구조를 기반으로 디지털 격차해소를 위한 정책, 기초학력 지원, 원격수업에 대한 품질 향상, 자기주도 학습에 대해 논의하였다.

• 생명과학회지
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• 제19권7호
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• pp.917-922
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• 2009

SD계 흰쥐를 사용하여 motor activity 실험에서 동물들의 자발적인 운동성을 측정한 결과, 주어진 시간 내 움직인 시간과 움직인 거리에는 n-3 지방산이 적절히 함유된 식이군 (Adq group)과 DHA가 첨가된 식이군(Adq+DHA group)간에 유의적 차이를 관찰할 수가 없었다. 학습효과 실험에서 n-3 지방산이 적절히 함유된 식이군 (Adq group)의 경우 목적 플랫트폼까지 걸리는 시간이 DHA 첨가 식이군(Adq+DHA group)에 비하여 다소 길었으나 유의적 차이는 관찰할 수가 없었다. 수영 속도(swimming speed)에서 DHA 첨가 식이군(Adq+DHA group)의 경우, n-3 지방산이 적절히 함유된 식이군 (Adq group)에 비해 유의적으로 빨랐으나 수영 풀에서 움직인 거리 (swimming distance)에는 두 식이군 간의 유의적 차이가 없었다. 두 식이군의 흰쥐들이 수영한 시간(swimming time)과 쉬고 있는 시간(resting time)의 경우, 쉬는 시간에는 유의적 차이가 없었으나 수영 시간 또한 n-3 지방산이 적절이 함유된 식이(Adq group)로 사육된 쥐가 DHA가 첨가된 식이로 사육된 쥐(Adq+DHA group)보다 수영한 시간이 길었으나 여기서도 유의적 차이는 없었다. 기억력 테스트에서 n-3 지방산이 적절히 함유된 식이군(Adq group) 및 DHA가 첨가된 식이군(Adq+DHA group) 모두는 목적 플랫트폼이 있었던 A 지역에 대한 기억이 우수하여 다른 지역들인 B, C, D를 지나가는 횟수보다 유의적으로 많았음을 관찰하였다(p<0.05). 이상의 결과로부터 임신에서부터 성인이 될 때까지 n-3 지방산이 적절히 함유된 식이로 사육된 쥐와 비교할 때 DHA가 첨가된 식이로 사육된 흰쥐가 Morris water maze를 이용한 공간기억력 실험에서 다소 우수한 기억 학습효과를 나타내었으나 유의적 차이는 없었음을 관찰 할 수가 있었다.

• International Journal of Computer Science & Network Security
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• 제21권6호
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• pp.275-285
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• 2021

Ministries of Education are integrating different Learning Management Systems (LMS) to enhance teaching and learning during the lockdown to avoid academic loss. The key factor for delivering a high-quality education through LMS platforms is teachers' acceptance and adoption of the platform. Madrasati platform (which means My school) was introduced by Saudi Arabian Ministry of education as the formal teaching and learning for distance education for public education levels. This study aims to examine the effectiveness, usability and adoption of "Madrasati" platform from teachers' perspectives in Saudi Arabia. "SUS, CSUQ" tests were used to test the usability of the new platform. Using quantitative research design, data were collected using questionnaire. 200 teachers were selected randomly answered the survey. Data was analysed descriptively and inferentially using SPSS (25). The results obtained indicate that the teachers are highly satisfied using Madrasati platform and technically it is well designed. Also, Madrasati has positive effect on teaching quality. Moreover, Madrasati has high usability in teaching. One of the key findings were that the quality of the information content in Madrasati has a strong effect on teachers' perception of the Madrasati usefulness that led to a positive attitude towards Madrasati. These findings would be useful to the ministry of education and institutions trying to integrate technology in their teaching and learning processes. Thus, this paper contributes towards more effective utilisation of the extensive functionalities that Madrasati have to offer, which will contribute toward the development of pedagogy in Saudi Arabia.

• Journal of Multimedia Information System
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• 제7권3호
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• pp.205-214
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• 2020

Crime has become one of the major problems in modern society. Even though visual surveillances through closed-circuit television (CCTV) is extensively used for solving crime, the number of crimes has not decreased. This is because there is insufficient workforce for performing 24-hour surveillance. In addition, CCTV surveillance by humans is not efficient for detecting dangerous situations owing to accuracy issues. In this paper, we propose the autonomous detection of dangerous situations in CCTV scenes using a deep learning model with relational inference. The main feature of the proposed method is that it can simultaneously perform object detection and relational inference to determine the danger of the situations captured by CCTV. This enables us to efficiently classify dangerous situations by inferring the relationship between detected objects (i.e., distance and position). Experimental results demonstrate that the proposed method outperforms existing methods in terms of the accuracy of image classification and the false alarm rate even when object detection accuracy is low.

• 인지과학
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• 제10권1호
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• pp.13-24
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• 1999

논문에서는 모듈화 신경 을 이용한 비지도 학습방법의 분류기를 제안한다. 각 모듈은 데이터의 통계학적인 분석의 결과로 설계되어져서, 데이터의 독립적인 군집들을 나타내게 된다. 이런 신경의 독립적인 분류 결과와 근접거리 척도를 이용한 유사도 측정을 통해 더욱 정확한 분류를 가능케 하며, 오 분류를 하는 모듈을 삭제함으로써 계산 을 줄인다. 이런 과정을 통해 신경 에 사용되는 각종 변수에 대한 별다른 조사 과정 없이 최상의 성능을 발휘하는 신경 에 준 는 성능을 가진 신경 망을 구축했다.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 1996년도 춘계공동학술대회논문집; 공군사관학교, 청주; 26-27 Apr. 1996
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• pp.244-248
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• 1996

Nowadays, most shop floors using industrial robots have many problems such as constructing robot workcell, generating robot arm moving trajectory, etc.. In the case of programming robot-arms for a specific task, shop operator commonly use the teach pendant to record the target position and determine the moving trajectory. However, such a teaching process may result in an inefficient trajectory in the sense of moving distance and joint angle fluctuation. Moreover, shop operators who have little knowledge about robot programming process need a lot of learning time and cost. The purpose of this paper is to propose a user friendly robot programming method to program robot-arms easily and efficiently for shop operator so that the programming time is reduced and a short and stable trajectory is obtained.

• International Journal of Computer Science & Network Security
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• 제21권4호
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• pp.140-144
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• 2021

The article considers aspects of improving the quality of training of specialists based on the use of modern information and communication technologies in the educational process; the use of teaching methods and, as a result, an increase in the creative and intellectual components of educational activities; integration of various types of educational activities (educational, research, etc.); adaptation of information technology training to individual the characteristics of the student; ensuring continuity and consistency in learning; development of information technologies for distance learning; improving the software and methodological support of educational process.

• International Journal of Computer Science & Network Security
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• 제21권5호
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• pp.192-198
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• 2021

Trustless, depression, happiness is a normal human emotion that everyone experiences at times. People face problems and hard circumstances every day due to an environment, social life, or traumatic developments in their lives. This study focused on a particular type of inconsistency patterns of behavior that experiences' students during the school time. Some students find depression interferes with their learning and test taking to such an extent that their grades are seriously affected. This study examined the awareness and readiness of a sample of Saudi Arabian high school teachers to recognize, understand, and respond to the ways in which students may respond to testing situations with depression. Findings suggest teachers learn from experience to use both direct and indirect ways to identify students with depression; employ test preparation and test taking strategies to help students reduce depression; and reach out to parents for additional assistance where teacher strategies are not sufficient.