• Smart Media Journal
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• v.10 no.1
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• pp.32-38
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• 2021

Image classification through deep learning on the image from photographs has been a very active research field for the past several years. In this paper, we propose a method of automatically discriminating stone images from domestic source through deep learning, which is to use Python's hash library to scan 300×300 pixel photo images of granites such as Hwangdeungseok, Goheungseok, and Pocheonseok, performing data preprocessing to create learning images by examining duplicate images for each stone, removing duplicate images with the same hash value as a result of the inspection, and deep learning by stone. In addition, to utilize VGGNet, the size of the images for each stone is resized to 224×224 pixels, learned in VGG16 where the ratio of training and verification data for learning is 80% versus 20%. After training of deep learning, the loss function graph and the accuracy graph were generated, and the prediction results of the deep learning model were output for the three kinds of stone images.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.444-454
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• 2022

The purpose of this study is to investigate the effects of writing academic reflection journals and feedback activity experiences in untact online classes for engineering students who have taken communication liberal arts classes, and to find out the effect of these learning strategies to promote students' learning motivation, to check whether it is useful for class participation and immersion. In order to find out the effect of class, pre- and post-tests on learning motivation were conducted, and the students' reflection journals and in-depth interviews were analyzed using the topic analysis method, which is one of the qualitative research methods. As a result of the study, it was found that the reflection journal and feedback activity had a significant effect on individual learning understanding, immersion, attitude, etc. The study is meaningful in that it was able to confirm students' active learning attitudes and positive teaching effects with appropriate learning strategies according to changes in the untact educational environment. Various teaching-learning strategies according to changes in the educational environment should be sought and applied in many ways.

• 대한공업교육학회지
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• v.38 no.2
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• pp.240-266
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• 2013

The purpose of this study is to investigate the self-directed learning readiness of university students' majored in science and engineering as life-long learners, and to analyze the relationship between self-directed learning readiness and learning style. Participants of this study are 142 students majored science and engineering in H university of Chung-nam province to participate in taking self-directed learning readiness tests and Kolb's learning style tests. The results of this study are as follows: First, the average of overall participants' self-directed learning readiness is 3.41, which is possibly regarded as 'an average' according to Guglielmino & Guglielmino (1991)'s interpretation of scores. Second, among four basic scales of participants' learning styles, the highest is found in Active Experiment (AE), the lowest is found in Abstract Conceptualization (AC). In addition, the highest thing of the four learning styles found among the participants is divergers (36.6%) and the lowest is convergers (13.4%). Finally, this study compares the high-level and low-level groups of self-directed learning readiness score with learning style. there is a statistically significant correlation between the score of self-directed learning readiness and CE, AC (p=.01). Therefore, self-directed learning readiness is related to learning style.

• The Journal of Pediatrics of Korean Medicine
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• v.21 no.2
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• pp.1-12
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• 2007

Objectives : Allergic children have known to have multiple behavior problems. Among them, attentional ability disorder is one of the most common problems. This study is to examine relationship between learning ability and allergic rhinitis by analyzing EEG status of children. Methods : We analyzed cognitive functions of two different children groups; 21 children with allergic rhinitis and 19 normal children with CANS 3000(Central & Autonomic Nervous System, LAXTHA Inc., Korea), cognitive functions assessment program by EEG. Results : 1. According to mean active EEG rhythm of Theta, Alpha, SMR, M-beta, there were no significant difference between allergic rhinitis and the normal group. 2. According to mean active EEG rhythm of right H-beta, Gamma wave allergic rhinitis group's value was significantly higher than that of the normal group. 3. According to mean cognitive strength, response, concentration, left / right brain activity and learning ability score, there were no significant difference between allergic rhinitis and the normal group. 4. According to mean workload score, allergic rhinitis group's value was significantly higher than that of the normal group. Conclusions : It is likely that allergic rhinitis group, which showed relatively high frequency EEG rhythm, is more fragile to stress and less active on mental processing. Along side with physical examination, psychological assessment should also be conjugated on treating children with allergic rhinitis.

• Journal of Engineering Education Research
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• v.6 no.1
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• pp.5-14
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• 2003

This paper presents a simplified web-based simulator for digital logic circuits with which several important principles related to digital logic circuits can be understood and confirmed. The proposed simulator is implemented to have several simplified functions which are essential to the learning process of digital logic circuits. The learners by themselves simulate several digital logic circuits on the web under specific input conditions and the design/analysis of digital logic circuits can be available. The proposed simulator, combined with multimedia contents, can be used as an auxiliary educational tool and enhance the improved learning efficiency. The results of this paper can be widely used to improve the efficiency of web-based educations in the cyber space. Several simulation results are illustrated as examples to show the validity of the proposed web-based simulator.

• Journal of International Academy of Physical Therapy Research
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• v.3 no.2
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• pp.413-421
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• 2012

Few studies address the use of manual muscle stretching to improve spinal active range of motion(AROM). There is evidence that' Hold-Relax'(HR) is effective for increasing ROM in the extremities, which leads the researchers to anticipate similar benefits in the spine. The purpose of this study is to investigate the effects of HR(trunk flexors) and active thoracic flexion and extension on thoracic mobility, specifically flexion and extension in healthy individuals. A convenience sample of 30 physical therapy students(22-38 years) were randomly assigned to intervention sequence 'A-B' or 'B-A', with at least 7 days between interventions. Intervention' A' consisted of HR of the ventral trunk musculature while 'B' consisted of thoracic flexion-extension AROM. Thoracic flexion and extension AROM were measured before and after each intervention using the double inclinometer method. Paired t-tests were used to compare AROM pre and post-intervention for both groups, and to test for carry-over and learning effects. There was a statistically significant increase(mean=$3^{\circ}$ ; p=0.006) in thoracic extension following HR of the trunk flexors. There were no significant changes in thoracic flexion following HR, or in flexion or extension following the AROM intervention. No carryover or learning effects were identified. HR may be an effective tool for improving AROM in the thoracic spine in pain free individuals. Further investigation is warranted with symptomatic populations and to define the minimal clinical difference(MCD) for thoracic spine mobility.

• Journal of Information Processing Systems
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• v.8 no.4
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• pp.575-588
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• 2012

Exploiting unlabeled text data with a relatively small labeled corpus has been an active and challenging research topic in text mining, due to the recent growth of the amount of biomedical literature. Biomedical named-entity recognition is an essential prerequisite task before effective text mining of biomedical literature can begin. This paper proposes an Active Co-Training (ACT) algorithm for biomedical named-entity recognition. ACT is a semi-supervised learning method in which two classifiers based on two different feature sets iteratively learn from informative examples that have been queried from the unlabeled data. We design a new classification problem to measure the informativeness of an example in unlabeled data. In this classification problem, the examples are classified based on a joint view of a feature set to be informative/non-informative to both classifiers. To form the training data for the classification problem, we adopt a query-by-committee method. Therefore, in the ACT, both classifiers are considered to be one committee, which is used on the labeled data to give the informativeness label to each example. The ACT method outperforms the traditional co-training algorithm in terms of f-measure as well as the number of training iterations performed to build a good classification model. The proposed method tends to efficiently exploit a large amount of unlabeled data by selecting a small number of examples having not only useful information but also a comprehensive pattern.

• Journal of KIISE
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• v.43 no.7
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• pp.795-800
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• 2016

In image classification, recent CNNs compete with human performance. However, there are limitations in more general recognition. Herein we deal with indoor images that contain too much information to be directly processed and require information reduction before recognition. To reduce the amount of data processing, typically variational inference or variational Bayesian methods are suggested for object detection. However, these methods suffer from the difficulty of marginalizing over the given space. In this study, we propose an image-text integrated recognition system using active vision based on Spatial Transformer Networks. The system attempts to efficiently sample a partial region of a given image for a given language information. Our experimental results demonstrate a significant improvement over traditional approaches. We also discuss the results of qualitative analysis of sampled images, model characteristics, and its limitations.

• Education of Primary School Mathematics
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• v.22 no.1
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• pp.49-64
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• 2019

The purpose of the study was to examine the current status of prospective elementary school teachers' mathematical beliefs. 339 future elementary school teachers majoring in mathematics education from 4 universities participated in the study. The questionnaire used in the TEDS-M(Tatto et al., 2008) was translated into Korean for the purpose of the study. The researchers analyzed the pre-service elementary teachers' beliefs about the nature of mathematics and about mathematics learning. Also, the results of the survey was analyzed by various aspects. To determine differences between the groups, one-way analysis of variance was used. To check the relationship between beliefs about the nature of mathematics and about the mathematics learning, correlation analysis was used. The results of the study revealed that the pre-service elementary teachers tends to believe that the nature of mathematics as 'process of inquiry' rather than 'rules and procedures' which is a view that mathematics as ready-made knowledge. In addition, the pre-service elementary teachers tend to consider 'active learning' as desirable aspects in mathematics teaching-learning practice, while 'teacher's direction' was not. We found that there were statistically significant correlation between 'process of inquiry' and 'active learning' and between 'rules and procedures' and 'teacher direction'. On the basis of these results, more extensive and multifaced research on mathematical beliefs should be needed to design curriculum and plan lessons for future teachers.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.351-363
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• 2017

It is organized to evaluate the effect of nursing students' learning attitude, learning motivation, problem solving ability, and class participation, after applying team-based learning to basic nursing classes. The subjects were 103 people in the second year of the G region. The data collection was from September 1 to December 5, 2016 by using t-test, one-way ANOVA, paired t-test and Pearson's correlation coefficient. Result is that the ability to solve problems increased, showing a statistically significant difference. Learning attitude and motivation of learning increased and the degree of participation didn't change, but there were no statistically significant differences. The learning attitude shows positive correlation with learning motivation, problem-solving skills and participation. After team based-learning, learning attitude showed a positive correlation with learning motivation, problem solving ability and class participation. Learning motivation shows positive correlation with class participation and so does problem solving ability with participation. Based on the results of this study, in order to improve the practical ability, it is necessary to activate the self-directed active learning method such as team base for nursing major study.