• International Journal of Industrial Entomology and Biomaterials
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• v.16 no.1
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• pp.15-20
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• 2008

Under the all India programme of evaluation of mulberry and silkworm genotypes, twelve bivoltine silkworm breeds obtained from Central Silkworm Germplasm Resource Centre, Hosur (CSGRC) were evaluated at the bivoltine silkworm breeding laboratory, Central Sericultural Research & Training Institute, Mysore (CSR&TI). These breeds were tested during September-October 2003, August-September 2004 and February-March 2005. The average temperature and humidity during September-October 2003 was $26.5^{\circ}C$ and 72.6% RH, while during August-September 2004, it was $26.5^{\circ}C$ and 75.2% RH and during February-March 2005 it was $24^{\circ}C$ and 48% RH respectively. The performance of the breeds in respect of 21 traits was studied and statistically analyzed using analysis of variance (Singh and Choudhary, 1985). Silkworm breeds were short-listed using multiple trait evaluation index method as suggested by Mano et at., (1993). Evaluation Index values were calculated for all the 11 traits of economic importance and six breeds were short-listed based on average index value 50 and above 50. Two breed viz., BV 183 (SMGS-1) have recorded average E.I. >50 in 10 traits (except in neatness) and ranked first and the breed BV 262 (SMGS9) with E.I. value >50 in nine traits except in cocoon weight and neatness ranked second, in the order of merit. These two breeds may be selected as resource material for evolving region specific silkworm breeds.

• Phonetics and Speech Sciences
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• v.13 no.1
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• pp.45-51
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• 2021

End-to-end (E2E) automatic speech recognition (ASR) has achieved promising performance gains with the introduced self-attention network, Transformer. However, due to training time and the number of hyperparameters, finding the optimal hyperparameter set is computationally expensive. This paper investigates the impact of hyperparameters in the Transformer network to answer two questions: which hyperparameter plays a critical role in the task performance and training speed. The Transformer network for training has two encoder and decoder networks combined with Connectionist Temporal Classification (CTC). We have trained the model with Wall Street Journal (WSJ) SI-284 and tested on devl93 and eval92. Seventeen hyperparameters were selected from the ESPnet training configuration, and varying ranges of values were used for experiments. The result shows that "num blocks" and "linear units" hyperparameters in the encoder and decoder networks reduce Word Error Rate (WER) significantly. However, performance gain is more prominent when they are altered in the encoder network. Training duration also linearly increased as "num blocks" and "linear units" hyperparameters' values grow. Based on the experimental results, we collected the optimal values from each hyperparameter and reduced the WER up to 2.9/1.9 from dev93 and eval93 respectively.

• Journal of Cadastre & Land InformatiX
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• v.52 no.2
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• pp.103-119
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• 2022

The purpose of this study is to propose a plan to establish a system that can maximize the effectiveness of disaster safety training. A review of previous studies and analysis of current status cases was conducted to examine the current level of data, systems, demand technologies, laws, and systems for related fields. A disaster safety training system linking digital twin and extended reality technology was proposed, and a study on the construction plan was conducted for this. It is hoped that the results of this study can contribute to the advancement of the disaster safety training system and reduce disaster damage.

• Journal of Life Science
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• v.20 no.8
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• pp.1261-1267
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• 2010

The aim of this study was to investigate the combined effects of aerobic training and diacylglycerol ingestion on lipid profiles and resting metabolic rate changes in obese men. The subjects were divided into 3 groups: the Diacylglycerol group (D, n=6), aerobic training group (E, n=6), and diacylglycerol ingestion and aerobic training group (DE, n=6). Diacylglycerol was ingested and aerobic exercise training performed for 12 weeks. The information from the research was calculated through a Windows SPSS/PC+ Ver. 12.0K statistics package to standardize the means and deviations for each group. Then, two-way repeated measures ANOVA was used to evaluate the research hypothesis. Percent body fat, blood lipid profiles and resting metabolic rate changes were tested to evaluate the combined effect of aerobic exercise training and diacylglycerol ingestion. The results of this study were as follows; DG ingestion was shown to have a positive effect on body weight and body fat, while having a negative effect on resting metabolic rate changes. However, aerobic training was shown to have a positive effect on all factors including body weight, body fat, and resting metabolic rate. In conclusion, DG ingestion and exercise training were not shown to have synergistic effects on resting metabolic rate changes, percent body fat and lipid profiles, while aerobic exercise training was shown to have a positive effect on resting metabolic rate changes, percent body fat, and lipid profiles. To investigate the therapeutic effect of DG ingestion and aerobic exercise for obese men, analysis of catecholamine, cAMP, HSL, or insulin sensitivity should be considered.

• Journal of The Korean Association of Information Education
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• v.11 no.3
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• pp.289-298
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• 2007

The purpose of the study is to investigate the effect of e-Learning course for kindergarten teachers and to generate suggestions for the revision of the course. To pursue for the purpose of the study, two hundred and ninety two subjects had participated in the quantitative study. The results indicate that the e-learning course was effective in terms of the student achievement, especially for the less privileged students. For the learners who were not majored in education for young children, and who had lower level academic degree enjoyed more benefit from the e-Learning course than their colleagues with higher level academic degrees. Also some issues that should bring some concerns such as the flaws of measurement instrument were discussed. Finally, implications regarding instructional design of e-Learning courses were suggested.

• Korean Journal of Child Studies
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• v.18 no.2
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• pp.241-265
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• 1997

The purpose of this study was to investigate effects of Parent Effectiveness Training (P. E. T.) on (1) parental awareness and verbal control patterns of mothers and (2) the relationship between parental awareness and verbal control patterns of mothers. The subjects were 43 mothers whose children were in 3rd, 4th, 5th, and 6th grades in one of two elementary schools in the City of Seoul. Mothers who participated in a P. E. T. class were assigned either to an experimental or a control group. Mothers in the experimental group received P. E. T. during the study; those in the control group received it after the study. Instruments were the Parental Awareness Interview (Newberger, 1980) and the revised Verbal Control Patters (Gumperz, 1973) for mothers. The data were analyzed by t-tests and Pearson's correlations. The results showed that (1) P. E. T. influenced parental awareness of mothers, and this change was maintained one month after completion of the P. E. T. class. (2) Mothers' verbal control patterns were changed by P. E. T. Specifically, mother' imperative and positional verbal control patterns decreased while personal verbal control patterns increased after P. E. T. (3) P. E. T. was negativeiy related to mother's imperative and positional verbal control patterns but positively related to personal verbal control patterns.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2001.10a
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• pp.59-64
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• 2001

The objectives of the thesis are to propose a pattern classification method for remote sensing data using artificial neural network. First, we apply the error back propagation algorithm to classify the remote sensing data. In this case, the classification performance depends on a training data set. Using the training data set and the error back propagation algorithm, a layered neural network is trained such that the training pattern are classified with a specified accuracy. After training the neural network, some pixels are deleted from the original training data set if they are incorrectly classified and a new training data set is built up. Once training is complete, a testing data set is classified by using the trained neural network. The classification results of Landsat TM data show that this approach produces excellent results which are more realistic and noiseless compared with a conventional Bayesian method.

• The Journal of the Acoustical Society of Korea
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• v.28 no.2E
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• pp.66-71
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• 2009

In practical applications of speech recognition, one of the fundamental questions might be on the number of training data that should be provided for a specific task. Though plenty of training data would undoubtedly enhance the system performance, we are then faced with the problem of heavy cost. Therefore, it is of crucial importance to determine the least number of training data that will afford a certain level of accuracy. For this purpose, we investigate the effect of the number of training data on the speaker-independent speech recognition of isolated words by using FVQ/HMM. The result showed that the error rate is roughly inversely proportional to the number of training data and grows linearly with the vocabulary size.

• Journal of the Korean Home Economics Association
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• v.36 no.4
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• pp.109-120
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• 1998

The Purpose of this research was to introduce communication training program for positive parent-adolescent relation into home economics education curriculum. The research applied the program named "Making the desirable world 2" which was revised by K.E.T.I(Korea Effectiveness Training Institute). This program was given two hours a week during 8 weeks. The subject of this study was 24 students, divided into two groups, the experimental and the control group. This research supposed that parent-adolescent communication and self-esteem in the experimental group would significantly increase by group training program. The results of this research are as follows. First, parent-adolescent communication in the experimental group was significantly increased by the group training program. Second, self-esteem in the experimental group was significantly increased by the group training program. For home economics education as a practical subject matter, promoting qualitative maturity of students' family life, this study aimed both at enhancing communication for positive relation of parent-adolescent by group training and implementing home economics education curriculum practically.

• Educational Technology International
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• v.7 no.2
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• pp.1-21
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• 2006

Blended learning has become one of the major trends in Korean corporate training. However, there has been scant research on blended learning in corporate trainings settings in Korea. The purpose of the present study was to explore current and future trends of blended learning in corporate and other training settings in Korea. 136 people from training related fields such as human resource development (HRD), training, and e-learning participated in this research. The findings revealed many interesting current trends and future expectations related to blended learning in training settings. In regards to the overall status of blended learning in Korean corporations, participants displayed strong interest in blended learning and were expecting that the importance of blended learning would grow in their organizations either modestly or significantly during the next few years. In addition, the perceptions of the respondents regarding the benefits of blended learning and the barriers to implementation in their respective organizations were analyzed.