• Title/Summary/Keyword: PreTraining

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Predicting the Pre-Harvest Sprouting Rate in Rice Using Machine Learning (기계학습을 이용한 벼 수발아율 예측)

  • Ban, Ho-Young;Jeong, Jae-Hyeok;Hwang, Woon-Ha;Lee, Hyeon-Seok;Yang, Seo-Yeong;Choi, Myong-Goo;Lee, Chung-Keun;Lee, Ji-U;Lee, Chae Young;Yun, Yeo-Tae;Han, Chae Min;Shin, Seo Ho;Lee, Seong-Tae
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.22 no.4
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    • pp.239-249
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    • 2020
  • Rice flour varieties have been developed to replace wheat, and consumption of rice flour has been encouraged. damage related to pre-harvest sprouting was occurring due to a weather disaster during the ripening period. Thus, it is necessary to develop pre-harvest sprouting rate prediction system to minimize damage for pre-harvest sprouting. Rice cultivation experiments from 20 17 to 20 19 were conducted with three rice flour varieties at six regions in Gangwon-do, Chungcheongbuk-do, and Gyeongsangbuk-do. Survey components were the heading date and pre-harvest sprouting at the harvest date. The weather data were collected daily mean temperature, relative humidity, and rainfall using Automated Synoptic Observing System (ASOS) with the same region name. Gradient Boosting Machine (GBM) which is a machine learning model, was used to predict the pre-harvest sprouting rate, and the training input variables were mean temperature, relative humidity, and total rainfall. Also, the experiment for the period from days after the heading date (DAH) to the subsequent period (DA2H) was conducted to establish the period related to pre-harvest sprouting. The data were divided into training-set and vali-set for calibration of period related to pre-harvest sprouting, and test-set for validation. The result for training-set and vali-set showed the highest score for a period of 22 DAH and 24 DA2H. The result for test-set tended to overpredict pre-harvest sprouting rate on a section smaller than 3.0 %. However, the result showed a high prediction performance (R2=0.76). Therefore, it is expected that the pre-harvest sprouting rate could be able to easily predict with weather components for a specific period using machine learning.

A Study on the Influence of English Vowel Pronunciation Training on Word Initial Stop Pronunciation of Korean English Learners (영어 모음 발음 교육이 한국인 학습자의 어두 폐쇄음 발화에 미치는 영향에 대한 연구)

  • Km, Ji-Eun
    • Phonetics and Speech Sciences
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    • v.5 no.3
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    • pp.31-38
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    • 2013
  • This study investigated the influence of English vowel pronunciation training to English word-initial stop pronunciation. For that purpose, VOT values of English stops produced by twenty Korean English learners(five Youngnam dialect male speakers, five Youngnam dialect female speakers, five Kangwon dialect male speakers, and five Kangwon dialect female speakers) were measured using the Speech Analyzer and their post-training production was compared with their pre-training production. The result shows that post-training VOT values of voiced stops became closer to those of native English speakers in all four groups. Hence, it can be inferred that vowel pronunciation training is effective for correcting pronunciation of voiced vowels by analyzing the change of the quality of following vowels(especially low vowels) and the degree of giving stress.

A Study on Some Background Variables Related to the Science Teaching Efficacy Beliefs of Pre-service and In-service Elementary School Teachers (초등 예비 교사와 현직 교사의 과학 교수 효능감에 관련된 몇 가지 배경 변인 연구)

  • Koh, Han-Joong;Choi, Moo-Won;Kang, Suk-Jin
    • Journal of Korean Elementary Science Education
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    • v.26 no.2
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    • pp.192-200
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    • 2007
  • In this study, we investigated the variables related to the science teaching efficacy beliefs of pre-service and in-service elementary school teachers. The participants were 176 freshmen and 260 seniors from an university of education and 234 teachers from 25 elementary schools located in Jeonju. Variables concerning pre-service teachers include their sex, career/study tracks (science or non-science), and the number of science courses taken either at high school or at university. Variables concerning in-service teachers include their sex, academic degree, the frequency and type of participation in science in-service training, and their teaching career experience. The Science Teaching Efficacy Beliefs Instrument was used to measure teachers' self-efficacy beliefs. The results indicated that the personal science teaching efficacy belief scores of seniors were significantly lower than those of freshmen and in-service teachers, whereas the science teaching outcome expectancy scores of seniors were significantly higher than those of freshmen. Among variables investigated, sex, career/study track, the number of science courses taken at high school, and the frequency and type of participation in science in-service training were found to significantly influence teachers' science teaching efficacy beliefs.

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Pedagogical Content Knowledge Factors Considered by Pre-service Elementary Teachers in Planning and Implementing of Science Teaching Demonstration (초등 예비 교사들이 과학 수업 시연 계획 및 실행에서 고려하는 교과교육학지식 요소)

  • Noh, Tae-Hee;Yoon, Ji-Hyun;Kim, Ji-Yeong;Lim, Hee-Jun
    • Journal of Korean Elementary Science Education
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    • v.29 no.3
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    • pp.350-363
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    • 2010
  • Recently there has been increasing emphasis on pedagogical content knowledge (PCK) for fostering science teachers' teaching professionalism that needs to be done from teacher training courses systematically. We investigated what were the PCK factors considered in planning instruction and the difficulties encountered in implementing it by pre-service teachers. In this study, 26 sophomores at an university of education in Gyeonggi province were asked to perform teaching demonstrations using scientific instruction models. They were also requested to write reflective journals and interview. Analyses of the results revealed that many pre-service teachers considered the teaching strategies such as the instruction organization and implementation when planning instruction. They had also regard to the learners' cognitive affective aspects, whereas the pre-knowledge of them was not properly considered. Especially, the curriculum and assessment were almost disregarded. Most of the difficulties encountered in planning instruction and implementing it were appeared in terms of the teaching strategies. For example, they had difficulties in considering the characteristics of each stage presented by the instruction models when planning instruction and implementing it. The frequencies of the difficulties in implementing experiment were especially higher than those of the other PCK factors. Educational implications of these findings are discussed.

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Dual deep neural network-based classifiers to detect experimental seizures

  • Jang, Hyun-Jong;Cho, Kyung-Ok
    • The Korean Journal of Physiology and Pharmacology
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    • v.23 no.2
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    • pp.131-139
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    • 2019
  • Manually reviewing electroencephalograms (EEGs) is labor-intensive and demands automated seizure detection systems. To construct an efficient and robust event detector for experimental seizures from continuous EEG monitoring, we combined spectral analysis and deep neural networks. A deep neural network was trained to discriminate periodograms of 5-sec EEG segments from annotated convulsive seizures and the pre- and post-EEG segments. To use the entire EEG for training, a second network was trained with non-seizure EEGs that were misclassified as seizures by the first network. By sequentially applying the dual deep neural networks and simple pre- and post-processing, our autodetector identified all seizure events in 4,272 h of test EEG traces, with only 6 false positive events, corresponding to 100% sensitivity and 98% positive predictive value. Moreover, with pre-processing to reduce the computational burden, scanning and classifying 8,977 h of training and test EEG datasets took only 2.28 h with a personal computer. These results demonstrate that combining a basic feature extractor with dual deep neural networks and rule-based pre- and post-processing can detect convulsive seizures with great accuracy and low computational burden, highlighting the feasibility of our automated seizure detection algorithm.

The Effect of Plyometric Training Combined with Core Strength Training on Balance and Agility in Adolescent Soccer Players (플라이오메트릭과 코어강화 운동의 결합된 훈련이 남자 청소년 축구선수의 균형, 민첩성에 미치는 영향)

  • Jo, Won-Hee;Choi, Jin-Ho
    • Journal of the Korean Society of Physical Medicine
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    • v.13 no.2
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    • pp.157-165
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    • 2018
  • PURPOSE: The purpose of this study was carried out to investigate the effect of plyometric training combined with core strength training on the balance and agility of adolescent soccer players. METHODS: A total of 36 subjects participated in this study. Subjects were randomly divided 3 groups and assigned PG (plyometric training group), CSG (core strength training group) and PCG (plyometric training combined with core strength training group). Each group was assigned to 12. Intervention was performed three times a week for 4 weeks. The training was performed for 60 minutes a day. Subjects were warmed up for 10 minutes, and performed main exercise for 40 minutes. Finally, subjects performed cool-down exercise including stretching for 10 minutes. A Statistical analysis was performed the paired t-test for the comparison pre and post intervention. A comparison among the groups was using one-way ANOVA, and the LSD was used for the post-test. RESULTS: The balance and agility were statistically significant differences in all group (p<.05). There was no significant difference in the balance factors between the three groups, but there was a significant difference in the agility factor (p<.05). CONCLUSION: Plyometric training and plyometric training combined with core strength training were effective for the balance and agility of adolescent soccer players.

The Effect of Tai Chi Training on the Center of Pressure Trajectory While Crossing an Obstacle in Healthy Elderly Subjects

  • Kim, Hyeong-Dong
    • Physical Therapy Korea
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    • v.15 no.4
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    • pp.27-33
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    • 2008
  • The purpose of this study was to investigate the changes of the center of pressure (COP) trajectory in healthy elderly subjects while crossing an obstacle before and after participation in Tai Chi training. Forty healthy elderly subjects participated either in a 12-week intervention of Tai Chi training or in a health education program. The participants were divided into two groups (the experimental group and the control group). Subsequently, the participants were pre- and post-tested on crossing over an obstacle from a quiet stance. Participants in the experimental group received Tai Chi training that emphasized the smooth integration of trunk rotation, a shift in weight bearing from bilateral to unilateral support and coordination and a gradual narrowing of the lower-extremity stance three times weekly. The participants in the control group attended a health education program one hour weekly and heard lectures about general information to promote health. Performance was assessed by recording the changes in the displacement of the COP in the anteroposterior (A-P) and mediolateral (M-L) directions using a force platform. Participants in the Tai Chi group significantly increased the A-P and M-L displacement of the COP after Tai Chi training (p<.05). No significant differences in the A-P and the M-L displacement of the COP between pre-testing and post-testing in the control group were found. This study has shown that participation in Tai Chi exercise increased the magnitude of the A-P and M-L displacement of the COP, thereby improving the ability of healthy elderly participation to generate momentum to initiate gait. These findings support the use of Tai Chi training as an effective fall-prevention program for the elderly.

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The Effect of Action Observation Training on Sit to Walk with Chronic Stroke Patients

  • Kim, Jin-Cheol;Lee, Hyun-Min
    • The Journal of Korean Physical Therapy
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    • v.27 no.6
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    • pp.413-418
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    • 2015
  • Purpose: This study was performed to examine the effect of action observation training on sit to-walk times in chronic stroke patients. Methods: Twelve stroke patients were randomly allocated to two groups, as follows: an action observation training (AOT) group and a scenery picture observation (SPO) group. The AOT group was engaged in video observation for 2 minutes 30 seconds with 12 ADL functional activities related to the sit-to-walk task: physical training was carried out in two repetitions lasting 2 minutes 30 seconds. The landscape imagery control group observed landscape picture for 2 minutes 30 seconds and then carried out the same physical training. The intervention involved a total of 12 sessions over 4 weeks, and each session lasted 30 minutes. The pre and post-tests measured the timed up and go test (TUG), Sit to stand test (STS), and Dynamic gait index (DGI). The Wilcoxon signed ranks test was used to compare pre-test and post-test result, and the Mann-Whitney U test was employed for comparison between groups. Results: The TUG time was significantly different between the AOT group and the SPO group. According to the findings, the experimental group's TUG was significantly decreased (p<0.05). In comparison of the two groups, there was no significant in STS or DGI between the AOT group and SPO group. Conclusion: This study showed that the intervention can be used to decrease TUG time. Our research suggests that action observation training has a positive effect on sit-to-walk times in patients with chronic stroke.

Impact of Smoking Cessation Training for Community Pharmacists in Indonesia

  • Kristina, Susi Ari;Thavorncharoensap, Montarat;Pongcharoensuk, Petcharat;Prabandari, Yayi Suryo
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.8
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    • pp.3319-3323
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    • 2015
  • Background: Community pharmacists play an important role in tobacco control and adequate training on smoking cessation is essential. Materials and Methods: A quasi-experimental pre-test/post-test design was used. A one-day workshop on smoking cessation organized by Indonesian Pharmacists Association as part of PCE program was offered to 133 community pharmacists. The workshop consisted of a 3-hour lecture and a 3-hour role-play session. Pre-training and post-training surveys assessed the impact of training on parameters including knowledge, perceived role and self-efficacy with respect to smoking cessation counseling practices. Intention and ability to perform counseling using the 5A framework was assessed after training only. Results: After PCE, knowledge score significantly increased from $24.9{\pm}2.58$ to $35.7{\pm}3.54$ (p<0.001). Perceived role and self-efficacy in smoking cessation counseling also significantly increased from $25.8{\pm}2.73$ to $28.7{\pm}2.24$, and $27.6{\pm}4.44$ to $32.6{\pm}3.63$, respectively (p<0.001). After the workshop, most participants were willing to ask, advise, and assess patients who ready to quit, but were still less likely to assist in quitting plans and arranging follow up counseling. More than 75% pharmacists were able to perform cessation counseling and 65% of them can completely perform a 5A brief intervention. Conclusions: PCE can enhance pharmacists' knowledge, perceived role, self-efficacy in cessation counseling practices, and create willingness and ability to perform cessation counseling. Future training is recommended to improve skills in assisting quitting plans and arranging follow up.

Development of Flipped Learning-based Educational Model for Vocational Education and Training (직업교육훈련을 위한 플립러닝 기반 교육모델 개발)

  • Wee, Young-eun;Jung, Hyojung;Lim, Jung-Yeon
    • The Journal of the Korea Contents Association
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    • v.19 no.1
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    • pp.37-46
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    • 2019
  • The purpose of this study is to develop a flipped-learning based education model for vocational education and training. Based on previous studies, we have developed a training model that includes definitions of flipped-learning, major learning activities, and operational strategies in each occupation. In addition, delphi surveys were carried out to confirm the validity of the educational model for HRD and vocational education and training specialists. Finally, the flipped-learning model for vocational education and training consists of three stages: Pre-learning, Main-learning, and Post-learning. Pre-learning stage include Online lectures, Simple tasks, Main-learning stage include Active learning and Coaching-Debriefing lecture, Post-learning stage includes Individual reflection-Additional task performance activities. The educational model developed through this study was developed with the focus on improving the linkage and the performance of the goal of vocational education and training.