• 한국전문물리치료학회지
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• 제9권3호
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• pp.101-111
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• 2002

The purpose of this study was to determine EMG biofeedback training effect on the muscle activities in 3 unilateral facial palsy patients along with multiple baseline design across subjects. The auditory feedback about facial muscles (orbicularis oris, orbicularis oculi, frontalis) was provided with each patient during facial exercise training. Electromyographic (EMG) activity during maximal voluntary contraction and maximal compound muscle action potential (CMAP) amplitude elected by supramaximal electrical stimulation on facial nerve of facial muscles were measured pre- and post- EMG biofeedback training to evaluate motor learning. EMG activity during maximal voluntary contraction was increased after EMG biofeedback training and CMAP amplitude elected by supramaximal electrical stimulation was not changed in all subjects. The results indicate that EMG biofeedback training is useful method to improve motor learning of facial excercise training in unilateral facial palsy patients.

• Bioinformatics and Biosystems
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• 제2권1호
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• pp.28-32
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• 2007

The protein phosphorylation is one of the important processes in the cell signaling pathway. A variety of protein kinase families are involved in this process, and each kinase family phosphorylates different kinds of substrate proteins. Many methods to predict the kinase-specific phosphoryrated sites or different types of phosphorylated residues (Serine/Threonine or Tyrosin) have been developed. We employed Supprot Vector Machine (SVM) to attempt the prediction of protein kinase specific phosphorylation sites. 10 different kinds of protein kinase families (PKA, PKC, CK2, CDK, CaM-KII, PKB, MAPK, EGFR) were considered in this study. We defined 9 residues around a phosphorylated residue as a deterministic instance from which protein kinases determine whether they act on. The subsets of PSI-BALST profile was converted to the numerical vectors to represent positive or negative instances. When SVM training, We took advantage of multiple SVMs because of the unbalanced training sets. Representative negative instances were drawn multiple times, and generated new traing sets with the same positive instances in the original traing set. When testing, the final decisions were made by the votes of those multiple SVMs. Generally, RBF kernel was used for the SVMs, and several parameters such as gamma and cost factor were tested. Our approach achieved more than 90% specificity throughout the protein kinase families, while the sensitivities recorded 60% on average.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2007년도 추계학술대회
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• pp.439-443
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• 2007

Nowadays, activity recognition becomes a hot topic in context-aware computing. In activity recognition, machine learning techniques have been widely applied to learn the activity models from labeled activity samples. Most of the existing work uses only one learning method for activity learning and is focused on how to effectively utilize the labeled samples by refining the learning method. However, not much attention has been paid to the use of multiple classifiers for boosting the learning performance. In this paper, we use two methods to generate multiple classifiers. In the first method, the basic learning algorithms for each classifier are the same, while the training data is different (ASTD). In the second method, the basic learning algorithms for each classifier are different, while the training data is the same (ADTS). Experimental results indicate that ADTS can effectively improve activity recognition performance, while ASTD cannot achieve any improvement of the performance. We believe that the classifiers in ADTS are more diverse than those in ASTD.

• 아동학회지
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• 제29권1호
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• pp.133-153
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• 2008

This study examined education and training as variables related to ethical behaviors of child counselors. The four sub-variables of this study included main educational/training background (academic career, major in last degree, and treatment modality), source of education in ethics, experience of educational psychoanalysis, and experience of supervision. The 136 child counselors participating in this study were administered the Inventory for Ethical Behaviors of Child Counselors (Yoo & Kim, 2(06). Data were analyzed by frequency, percentage, average, standard deviation, Cronbach's a, t-test, one way ANOVA, and multiple regression analysis. Results showed that main educational/training background (academic career, major in last degree, and treatment modality), experience of educational psychoanalysis, and experience of supervision were significant variables related to ethical behaviors of child counselors.

• 한국군사과학기술학회지
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• 제7권3호
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• pp.77-83
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• 2004

This paper focuses on a scheduling problem of military training. Repetitive and identical training over multiple serials is a common type of military education. A simple but systematic method is suggested to determine a training schedule for small groups divided from each serial. A satisfactory training schedule and the number of such small groups can be determined by iteratively solving assignment problems with additional constraints. With this method, loads of instructors can also be balanced without violating constraints associated with precedence and continuity relationships among lectures.

• International Journal of Industrial Entomology and Biomaterials
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• 제23권2호
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• pp.239-243
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• 2011

Thirty five bivoltine breeds were acclimatized under controlled condition for three years during two seasons to evaluate their efficiency in Seri industry of tropical region. Out of thirty five ten breeds had been short listed based on ranking for individual trait. Three breeds out of those ten selected breeds viz. SK6, NB18 and B.Con.4 ranked top in respect of overall performance. The ten breeds based on average Evaluation Index value > 50 considering twelve economically important traits are the resource material for future course of breeding program in West Bengal.

• ETRI Journal
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• 제41권2호
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• pp.242-253
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• 2019

We devise a layer-wise hint training method to improve the existing hint-based knowledge distillation (KD) training approach, which is employed for knowledge transfer in a teacher-student framework using a residual network (ResNet). To achieve this objective, the proposed method first iteratively trains the student ResNet and incrementally employs hint-based information extracted from the pretrained teacher ResNet containing several hint and guided layers. Next, typical softening factor-based KD training is performed using the previously estimated hint-based information. We compare the recognition accuracy of the proposed approach with that of KD training without hints, hint-based KD training, and ResNet-based layer-wise pretraining using reliable datasets, including CIFAR-10, CIFAR-100, and MNIST. When using the selected multiple hint-based information items and their layer-wise transfer in the proposed method, the trained student ResNet more accurately reflects the pretrained teacher ResNet's rich information than the baseline training methods, for all the benchmark datasets we consider in this study.

• The Journal of Asian Finance, Economics and Business
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• 제9권9호
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• pp.241-248
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• 2022

The current article examines the interactions among students' attitudes to e-learning, their implementation of e-learning in their studies, and learning effectiveness. Significantly, it emphasizes the mediating role of accepting e-learning in training. It applied reliability analyses to test the measurement of items and construct validity, using the research data collected from students at Vietnam National University of Ho Chi Minh. Then, the current article used multiple regressions to inspect the causal relations; and applied procedures to investigate the mediating influence. The empirical results indicate students' attitude to e-learning positively influences their implementation of e-learning in their studies. When students apply e-learning in their studies, they likely achieve the best possible training effectiveness. Statistical evidence on the mediating role of accepting e-learning in training by students on the linkage between their attitude to e-learning and training effectiveness is revealed in this article. The findings of this article make some contributions. For educational administrators, it offers insight into the links among students' attitudes to e-learning, their implementation of e-learning in their studies, and training effectiveness, which likely allows them to establish suitable online training programs. This will be beneficial to both learners and educational institutes.

• 한국항공운항학회지
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• 제31권2호
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• pp.108-115
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• 2023

Alongside the rapid development of AI technology, which is stepping in to do tasks more quickly and less prone to error than humans can, the possibility for MI (multiple intelligence) development warrants equal attention and fervor. Recent theories of human intelligence point beyond standard cognitive capacity, IQ, and shine a light on the other unique potentials naturally endowed to humans. The applicability of MI to aviation is discussed, suggesting that it is important to consider ways to integrate MI development techniques into pilot education and training. Experiential starting points are discussed.

• 대한치과기공학회지
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• 제38권4호
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• pp.343-352
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• 2016

Purpose: The intention of the study is to reveal the factors that influence the safety-behavior and safety-accident of the students of dental laboratory science. We intend to use the study as a basic data of searching effective ways to heighten the safety-behavior of clinical training and to prevent safety-accident. Methods: The survey was conducted on dental technology students. The collected data was analyzed by the statistical program SPSS 21.0. The results were analyzed by reliability, frequency, t-test, correlation, multiple regression. To test for significance on each item, p<0.05 has been decided as a standard. Results: The results of the study showed that the safety of the students was influenced by the school year, the leader of clinical training, clinical training environment and the experience of safety education. The safety-accident turned out to be influenced by the school year of the student and the safety behavior. Conclusion: Active leader of clinical training, clinical training environment that enables the safety-behavior, and the offering of the systematic safety education were the most important factors to heighten the safety behavior of the students and prevent the safety-accident. These factors were expected to not only induce the safety-behavior but also prevent the safety-accident as well.