• Title/Summary/Keyword: 분산학습

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Study on driver's distraction research trend and deep learning based behavior recognition model

  • Han, Sangkon;Choi, Jung-In
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.11
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    • pp.173-182
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    • 2021
  • In this paper, we analyzed driver's and passenger's motions that cause driver's distraction, and recognized 10 driver's behaviors related to mobile phones. First, distraction-inducing behaviors were classified into environments and factors, and related recent papers were analyzed. Based on the analyzed papers, 10 driver's behaviors related to cell phones, which are the main causes of distraction, were recognized. The experiment was conducted based on about 100,000 image data. Features were extracted through SURF and tested with three models (CNN, ResNet-101, and improved ResNet-101). The improved ResNet-101 model reduced training and validation errors by 8.2 times and 44.6 times compared to CNN, and the average precision and f1-score were maintained at a high level of 0.98. In addition, using CAM (class activation maps), it was reviewed whether the deep learning model used the cell phone object and location as the decisive cause when judging the driver's distraction behavior.

A Research Regarding the Application and Development of Web Contents Data in Home Economics (가정과 수업의 웹 콘텐츠 자료 활용 및 개발에 관한 연구)

  • Kim Mi-Suk;Wee Eun-Hah
    • Journal of Korean Home Economics Education Association
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    • v.18 no.1 s.39
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    • pp.49-64
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    • 2006
  • The objective of this research is to see the current status of application and development of web contents data, and to suggest the way to improve the application and development of web contents data in home economics classes in middle schools. The respondents of the research were 312 middle school home economics teachers from all over the nation, and the tool was a questionnaire which consist of 22 questions about general status of the person who was answering and their recognitions and demands on the application and development of the web contents data. The major findings were as follows : 1) 88.5% of the sample responded that they accurately grasped a meaning of a class employing web contents data, and as for effects on preparation of professional study. 2) Most of the teachers were making good use of materials from the web in their classes. They responded that it maximized the efficiency of students' learning. Some didn't use the web contents in their classes. The reasons why the web contents data usage had been low were that the classrooms were not equipped properly (43.2%) and it took long time to create web contests (37.8%). 3) Kinds of web contents data that showed the most amount of usage were the presentations (48.4%), multi-media teaching materials(23.7%), and moving pictures(19.9%). 4) Teaches wanted to improve these particular materials among the web contents: family life and home, administration and environment of resources, and clothing preparation and administration. As for the lessons, teachers wanted developments of contents of lessons, generating motives, and evaluation to be by individual teachers or curriculum researchers' societies, and 30.8% were by Korea Education & Research Information Service (KERIS).

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The Needs Assessment of Middle School Students for Practical Reasoning Home Economics Classes in the Distance Learning Environment (원격학습 환경에서 가정교과 실천적 추론 과정에 대한 중학생의 요구도 조사연구)

  • Choi, Seong-Youn
    • Journal of Korean Home Economics Education Association
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    • v.33 no.1
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    • pp.1-16
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    • 2021
  • The purpose of this study was to investigate the needs of middle school students for the practical reasoning in a distance learning environment, to verify the needs differences based on the learner's personal characteristics, student-teacher interaction, and student-student interaction, and to investigate the relationships among student-teacher interaction, voluntary participation of students, and the students' perception of the extent to which practical reasoning is implemented in distance learning. For this purpose, 1,842 middle school students from seven schools in Gyeonggi, Daejeon, Chungbuk, and Sejong areas were surveyed online to investigate the importance of the practical reasoning questions and the how much practical reasoning is implemented in current distance learning. Among them, 1,095 responses were used for final analysis and descriptive statistics, independent sample t-test, one-way ANOVA, and path analysis were conducted. As a result of the study, first, middle school students acknowledged that the practical reasoning was important with the importance average 3.76. Based on the locus for focus model, the priorities of the needs in home economics class were examined, and the values and importance of the problem, and the ramification of the solution were considered to be of high priority. Second, characteristics of middle school students, student-teacher interaction and student-student interaction were found to have positive influence on needs for practical reasoning, while no difference were found by gender or voluntary participation in distance learning. Third, the voluntary participation of students and the student-teacher interaction in distance learning had a positive (+) significant effect on perceived implementation of practical reasoning, yet negative (-) significant effect on needs for practical reasoning.

A Comparative Study on Gifted Students' Characteristics Based on the Diverse Identification Methods for the Gifted Education Program at Each Elementary School (단위학교 영재학급 선발방식에 따른 영재 특성 비교)

  • Kim, Hae-Jung;Han, Ki-Soon
    • Journal of Gifted/Talented Education
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    • v.23 no.2
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    • pp.257-273
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    • 2013
  • The purpose of this study was to explore a more useful identification method by comparing diverse selection approaches for the gifted education programs at the each elementary school. Diverse selection methods examined in the study include 'written examinations', 'mixed evaluation', 'achievement test scores', and 'self-recommendation'. For the study, each identification group's gifted students' characteristics, such as intelligence, creativity, motivation and self-regulated learning strategies, were compared. The subjects of the study were a total of 594 gifted and normal students. The results of this study were as follows: First, there were no statistically significant differences between students in each gifted education class and gifted students who belong to the regional gifted education programs which are considered higher level of gifted education programs. While, there were statistically significant differences between two groups of gifted students and general students in all aspects examined, such as intelligence, creativity, motivation and learning strategies. In addition and most importantly, diverse identification method utilized in each school showed differences in gifted students' characteristics. Especially, students who were selected through the self-recommendation showed significantly lower intelligence, creativity, motivation and learning strategies. The implications of the study related to the identification and education for the gifted at each elementary school were discussed in depth.

Prediction of Soil Moisture with Open Source Weather Data and Machine Learning Algorithms (공공 기상데이터와 기계학습 모델을 이용한 토양수분 예측)

  • Jang, Young-bin;Jang, Ik-hoon;Choe, Young-chan
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.22 no.1
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    • pp.1-12
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    • 2020
  • As one of the essential resources in the agricultural process, soil moisture has been carefully managed by predicting future changes and deficits. In recent years, statistics and machine learning based approach to predict soil moisture has been preferred in academia for its generalizability and ease of use in the field. However, little is known that machine learning based soil moisture prediction is applicable in the situation of South Korea. In this sense, this paper aims to examine 1) whether publicly available weather data generated in South Korea has sufficient quality to predict soil moisture, 2) which machine learning algorithm would perform best in the situation of South Korea, and 3) whether a single machine learning model could be generally applicable in various regions. We used various machine learning methods such as Support Vector Machines (SVM), Random Forest (RF), Extremely Randomized Trees (ET), Gradient Boosting Machines (GBM), and Deep Feedforward Network (DFN) to predict future soil moisture in Andong, Boseong, Cheolwon, Suncheon region with open source weather data. As a result, GBM model showed the lowest prediction error in every data set we used (R squared: 0.96, RMSE: 1.8). Furthermore, GBM showed the lowest variance of prediction error between regions which indicates it has the highest generalizability.

Predict ion-based Concurrency Control for A Large Scale Networked Virtual Environment Supporting Various Navigation Speed (다양한 이동속도를 지원하는 대규모 네트웍 가상 환경을 위한 예측 기반 동시성 제어)

  • 이은희;이동만;한승현;현순주
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.10c
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    • pp.202-204
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    • 2001
  • 가상 세계의 공유 개념은, 특히 사용자들이 인터넷 같이 대규모 네트웍을 통해 지역적으로 분산된 경우는 복제가 수용할 수 있는 상호작용 성능을 제공하기 때문에 각 사용자의 사이트에 정보를 복제함으로써 확장된다. 그러나, 다수의 동시 갱신은 replicas간의 일관되지 않은 뷰를 일으키게 될 것이다. 따라서, 동시성 제어가 복제자들간에 일관된 상태를 유지하도록 하기 위한 중요한 요소가 된다. 우리는 단지 대상 객체의 주변에 있는 사용자들만이 소유권 요청을 다중 전송하게 하는 확장성 있는 예측기반 동시성 제어 스킴을 제안했었다. 이 작업에서, 우리는 모든 사용자들이 동일한 속도론 가지고 가상 세계를 이동한다고 가정했다. 이것은, 그러나, 좀더 사실성을 더하기 위해 사용자가 가상 세계와 상호작용을 할 매 그들의 이동속도를 변경하도록 하는 네트웍 게임같은 네트웍 가상 환경에서는 너무 common 하다. 본 논문은 다양한 속도를 가진 사자를 지원하기 위한 확장을 제안한다. 확장된 스킴은 다른 속도의 수만큼의 다중 Entity Radii를 가지며 각 속도를 가진 사용자에게 분리된 큐를 할당한다. 각 큐는 다음 소유자 후보를 예측하기 위해 동시에 예측을 수행하고 선택된 후보들간에서 최소의 Predicted Collision Time을 가지는 최종 후보자가 선택된다. 이는 사용자의 속도에 기반을 둔 적절한 Entity Radius를 사용함으로써 소유권의 timely advanced transfer과, 다른 이돔 속도와 latency를 가지는 사용자들 간의 간섭을 줄임으로써 공정(공평)한 소유권 양도, 그리고 불필요한 소유권 전송을 줄임으로써 놓은 예측 정확도를 제공한다.성을 지닌 AMMQL 학습법은 로봇축구와 같이 끊임없이 실시간적으로 변화가 일어나는 다중 에이전트 환경에서 특히 높은 효과를 볼 수 있다. 본 논문에서는 AMMQL 학습방법의 개념을 소개하고, 로봇축구 에이전트의 동적 위치 결정을 위한 학습에 어떻게 이 학습방법을 적용할 수 있는지 세부 설계를 제시한다.다.으로서 hemicellulose구조가 polyuronic acid의 형태인 것으로 사료된다. 추출획분의 구성단당은 여러 곡물연구의 보고와 유사하게 glucose, arabinose, xylose 함량이 대체로 높게 나타났다. 점미가 수가용성분에서 goucose대비 용출함량이 고르게 나타나는 경향을 보였고 흑미는 알칼리가용분에서 glucose가 상당량(0.68%) 포함되고 있음을 보여주었고 arabinose(0.68%), xylose(0.05%)도 다른 종류에 비해서 다량 함유한 것으로 나타났다. 흑미는 총식이섬유 함량이 높고 pectic substances, hemicellulose, uronic acid 함량이 높아서 콜레스테롤 저하 등의 효과가 기대되며 고섬유식품으로서 조리 특성 연구가 필요한 것으로 사료된다.리하였다. 얻어진 소견(所見)은 다음과 같았다. 1. 모년령(母年齡), 임신회수(姙娠回數), 임신기간(姙娠其間), 출산시체중등(出産時體重等)의 제요인(諸要因)은 주산기사망(周産基死亡)에 대(對)하여 통계적(統計的)으로 유의(有意)한 영향을 미치고 있어 $25{\sim}29$세(歲)의 연령군에서, 2번째 임신과 2번째의 출산에서 그리고 만삭의 임신 기간에, 출산시체중(出産時體重) $3.50{\sim}3.99kg$사이의 아

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Observational Motor Skill Learning in Individuals with Intellectual Disabilities (지적장애인의 관찰적 운동기술 학습)

  • Kim, Sung-Woon;Kim, Yu-Jin;Kim, Jin-Gu
    • Journal of the Korea Convergence Society
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    • v.9 no.9
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    • pp.293-297
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    • 2018
  • The purpose of this study was to determine the influence of video modeling observational learning intervention on the learning and performance of a bowling skill in adolescents with intellectual disabilities. Thirty special middle school students whose ages ranged from 14 to 16 years were recruited from Daegu, Korea. Intellectual disabilities of the participants were assessed by Korean version of the Wechsler intelligence scale for adolescent and a social maturity scale. During the experiment, participants repeatedly watched the one-minute action observation film for three minutes before beginning each frame and played 60 frames. Statistical comparisons were performed using a 2 (groups) ${\times}$ 6 (trials) ANOVA, with repeated measures on the last factor of the acquisition stage (p<0.05). Factors of the retention stage scores were analyzed by one-way ANOVA. The sources of any significant main effects were tested using a Tukey's HSD (honest significant difference) approach. SPSS 21.0 was used for statistical analyses. The performance scores of the action observation group were significantly higher than those of the control group. The findings showed that observational learning in the form video modeling has the potential to enhance acquisition and learning of a bowling sport skill in intellectual disability individuals; however, these findings are limited to adolescents with moderate intellectual disabilities.

Comparative Analysis of Elementary Mathematics Textbooks in Korea and China: Focused on the area of Geometry (우리나라와 중국의 초등수학 교과서의 도형영역 비교.분석)

  • Yu, Jaehyuk;Lee, Daehyun
    • Education of Primary School Mathematics
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    • v.16 no.1
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    • pp.57-70
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    • 2013
  • This study is aimed to compare the area of geometry of elementary mathematics textbooks in korea and china. Through this study, we would like to suggest some guidelines in order to develop geometric curriculum and textbooks in korea and to search for more efficient methods of learning mathematics. For this, we have looked through the general characteristics of geometry domain in mathematics curriculums and the textbooks in korea and china. Furthermore, we have found the similarities and differences while comparing specific contents in the two countries. The followings are the conclusions of this study. First, The mathematics curriculum in korea is divided into 'figure' domain, but the one in china is divided into 'space and figure' domain, which deals with figure and measurement. And china constructs the contents of the basic figure as a whole unit. Second, korea gives clear learning aims about contents whereas china gives learning activities. Lastly, when starting teaching a plain figure, korea focuses on checking and finding definitions and characters through fundamental figures. However, china focuses on figuring out components and the relations among them throughout various plain figure activities.

Development and Validation of Virtual Training Content Satisfaction Measurement Tool (가상훈련 콘텐츠 만족도 측정도구 개발 및 타당화)

  • Miseok Yang;Woocheol Kim;Ohyoung Kwon
    • Journal of Practical Engineering Education
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    • v.15 no.1
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    • pp.1-11
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    • 2023
  • The purpose of this study is to develop and validate a tool that measures the satisfaction of virtual training learners' use of virtual training content. To this end, 491 copies of the basic questions derived from the satisfaction questions used by the K University Online Lifelong Education Center were used for the final analysis by conducting an online survey of learners who accessed STEP, the K University Online Lifelong Education Center portal. The 491 copies of data finally used were analyzed by methods such as basic question analysis, exploratory factor analysis, reliability analysis, and confirmatory factor analysis. First, in the basic question analysis, there were no questions that exceeded the acceptance criteria of an average of 4 points or more, skewness ±2, and kurtosis ±4. Second, the correlation coefficient for each sub-factor of virtual training content satisfaction derived after exploratory factor analysis was good as r=.682 to .822 (p<.01). The reliability coefficient for each sub-factor is content .849, content utilization .922, System and Operations Support .841, Intention to Continue Utilization .920, the overall reliability is. It was very high at .956 Fifth, as a result of confirmatory factor analysis, the compositional conceptual diagram is. It was .842 to .926, higher than the recommended standard of .7, and the average variance extraction degree. It appears to be .640 to .796, higher than the recommended standard of .5, which can be seen as representative of each constituent concept. As a result of verifying the validity of virtual training learners' content satisfaction recruitment, four factor models were derived: content substance, content utilization, system and operation support, and intention to continue use. This study is meaningful in that it empirically developed a tool to measure content satisfaction of virtual training learners and provided a reference frame and criteria.

The Longitudinal Study on Structural Relationship between Adolescent's Self_Esteem Change and Its Influencing Factors

  • Choi, Chiwon;Kim, Hyung-Hee;Park, Hwieseo
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.9
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    • pp.159-166
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    • 2020
  • The purpose of this research is to suggest some practical and policy implications for improving adolescent's self-esteem through analyzing longitudinally the effects of parental attitude, peer relationship, student-teacher relationship, school learning activity, life-goal on adolescent's self-esteem by using latent growth curve model. Analytical data was obtained from the KYCPS. The analytical results showed that the change model of adolescent's self_esteem turned out to be a leaner model in which the change rate and intercept were significant. Second, time dependent variables influence on adolescent's self_ esteem meaningfully. Third, time dependent variables influence on adolescent's self_ esteem changes significantly. This study proposed some policy implications basing on these findings.