• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2003.11a
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• pp.537-543
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• 2003

Condition monitoring and fault diagnosis of machines are gaining importance in the industry because of the need to increase reliability and to decrease possible loss of production due to machine breakdown. By comparing the vibration signals of a machine running in normal and faulty conditions, detection of faults like mass unbalance, shaft misalignment and bearing defects is possible. This paper presents a novel approach for applying the fault diagnosis of rotating machinery. To detect multiple faults in rotating machinery, a feature selection method and support vector machine (SVM) based multi-class classifier are constructed and used in the faults diagnosis. The results in experiments prove that fault types can be diagnosed by the above method.

• Journal of Science Education
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• v.41 no.1
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• pp.135-151
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• 2017

This study set out to investigate the challenges to science teacher's teaching practices in the Anglophone sub-system of education in Cameroon secondary schools. A sample of 331 of these teachers was selected using the purposive sampling method. Data was collected by use of a questionnaire and was subjected to inferential analysis. The major findings from the multiple regression were challenges associated with the size and management of a science class have an effect on the teaching practices of a science teacher. However, challenges with availability of instructional resources did not have an effect on science teaching practices. Recommendations to solve the identified drawbacks include the provision of more classrooms to accommodate the ever growing population of students and the organization of many seminars through which teachers could be educated on how to handle classroom problems and improvise when necessary.

• Journal of the Korean Data and Information Science Society
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• v.28 no.2
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• pp.435-442
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• 2017

Consider the problem of estimating a $p{\times}1$ mean vector ${\theta}$ (p ${\geq}$ 3) under the quadratic loss from multi-variate normal population. We find a James-Stein type estimator which shrinks towards the projection vectors when the underlying distribution is that of a variance mixture of normals. In this case, the norm ${\parallel}{\theta}-K{\theta}{\parallel}$ is known where K is a projection vector with rank(K) = q. The class of this type estimator is quite general to include the class of the estimators proposed by Merchand and Giri (1993). We can derive the class and obtain the optimal type estimator. Also, this research can be applied to the simple and multiple regression model in the case of rank(K) ${\geq}2$.

• ETRI Journal
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• v.29 no.5
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• pp.700-702
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• 2007

We present a relevance feedback approach based on multi-class support vector machine (SVM) learning and cluster-merging which can significantly improve the retrieval performance in region-based image retrieval. Semantically relevant images may exhibit various visual characteristics and may be scattered in several classes in the feature space due to the semantic gap between low-level features and high-level semantics in the user's mind. To find the semantic classes through relevance feedback, the proposed method reduces the burden of completely re-clustering the classes at iterations and classifies multiple classes. Experimental results show that the proposed method is more effective and efficient than the two-class SVM and multi-class relevance feedback methods.

• Journal of the korean academy of Pediatric Dentistry
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• v.6 no.1
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• pp.21-25
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• 1979

The author surveyed traumatized anterior teeth of 12~17 year old 9453(male 4740, female 4713) school students. The results were as follows: 1. The prevalence of traumatized anterior teeth was $10.3{\pm}0.6%$. 2. The prevalence of traumatized anterior teeth of male was $12.2{\pm}0.9%$, and that of female was $8.4{\pm}0.8%$. The prevalence of male was higher than that of female. 3. The distribution of traumatized teeth by severity was as follows: Class I-65.3%, Class II-20.7%, Class III-8.2%, Missing teeth-5.4%, Others-0.4%. 4. Maxillary central incisors had the highest trauma frequence. 5. Single fractures were found to occur more commonly than multiple fractures. 6. The percentage of treated person was 5.1%. 7. 72.3% of the sample was not affected by the traumatized anterior teeth, and 27.7% of the sample thought the traumatized anterior teeth ugly.

• Journal of Science Education
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• v.42 no.3
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• pp.352-370
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• 2018

The purpose of this study is to explore how Peer Instruction can continuously help improve third-grade students' participation and their ability to debate in Science classes. There were multiple-choice questions relating to the discussions and debating class and Peer Instruction of the entire third grade Science curriculum which had been applied for six months. Also, after looking into the class participation and the debating ability, there was a degree of increase. As a result, there were five areas in class participation which are class preparation, class activity, expressing oneself, class expansion, and class dedication; all have statistically significant effects on the six areas of the discussion skill: logic, analytical skill, listening skill, receptiveness, regularity, and initiative. As it shows, both of these areas show a significant statistical effect on the application of Peer Instruction and confirmed to have a positive influence on the change in the participation and the discussion skills.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.543-551
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• 2022

The purpose of this study was to investigate the mediating effect of academic self-efficacy in the process that nursing students' task value affects class participation. The subjects of this study were 161 second-year students of the Department of Nursing at K University located in G city, and the data collection period was from October 5 to October 14, 2020. The mediating effect of academic self-efficacy in the relationship between task value and class participation was analyzed using Baron and Kenny's 3-step mediating effect verification procedure using simple and multiple regression analysis and the statistical significance of mediating effects was verified by the Sobel test. As a result of this study, task value and academic self-efficacy were major factors influencing class participation, and academic self-efficacy was found to be a significant partial mediating variable in the relationship between task value and class participation. These factors explained 55% of class participation. In order to increase learners' class participation, an integrated approach that can improve task value and academic self-efficacy is needed.

• Tuberculosis and Respiratory Diseases
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• v.43 no.4
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• pp.651-656
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• 1996

We have experienced a case of sarcoidosis appearing asymmetrical diffuse interstitial lung lesions with multiple lymphadenopathy. This patient was a 57 year-old female who had been in good health until 2 months ago. At that time she noted the onset of an exertional dyspnea and weakness. Pulmonary function tests showed moderate obstructive pattern with mild decreased DLco. In the chest CT, multiple lymphadenopathy with small nodular lesions are scattered, and the impression was a metastatic lymph nodes with lymphangitic carcinomatosis. In bronchofiberscopy, we noted luminal narrowing by extrinsic compression in the right middle and lower lobe bronchi. And microscopic examination of by bronchofiberscopic biopsy showed chronic inflammation. Thus we performed subcarinal and tight supraclaviclar lymph nodes aspiration biopsy cytology, and that revealed class 0 and class 1, respectively. Finally, we performed an excisional biopsy for the right scalene lymph node, which revealed the specimen as a noncaseating granuloma. The angiotensin convecting enzyme level was overt two folds compared to normal value. And the patient had negative PPD skin test and hyperglobulinemia. After 18 weeks treatment with prednisone, the signs and symptoms which the patient clad suffered from, disappeared.

• Journal of Korean Elementary Science Education
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• v.36 no.1
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• pp.31-42
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• 2017

This study aimed to investigate the effect of science class using multiple intelligence on science learning motivation, academic achievement and science process skill of elementary student. The number of participants were 98, 4 classes of $3^{rd}$ graders in G elementary school in B city. The experimental group, 2 classes including 49 participants, had science classes using multiple intelligence while the comparative group, 2 classes including 49 participants, took ordinary teacher-driven lessons using teacher's guidebook. Pre and post tests were done before and after executing lessons to assess the changing in each group's science learning motivation, academic achievement and science process skill. The results of this study can be summarized as follows: First, the pre and post test results of science learning motivation revealed that the experimental group had higher improvement compared to the comparative group and the difference was meaningful. Second, the post test results of the science academic achievement showed that the experimental group had higher average value compared to the comparative group and the difference was meaningful. Third, the pre and post test results of basic science process skill showed that the experimental group had higher average value compared to the comparative group and the difference was meaningful, especially in inference and prediction elements.

• Journal of KIISE:Software and Applications
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• v.30 no.7_8
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• pp.659-671
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• 2003

This paper proposes a method of disambiguating the senses of words using decision lists, which consists of rules with confidence values. The rule of decision list is composed of a boolean function(=precondition) and a class(=sense). Decision lists classify the instance using the rule with the highest confidence value that is matched with it. Previous work disambiguated the senses using single feature decision lists, whose boolean function was composed of only one feature. However, this approach can be affected more severely by data sparseness problem and preprocessing errors. Hence, we propose multiple feature decision lists that have the boolean function consisting of more than one feature in order to identify the senses of words. Experiments are performed with 1 sense tagged corpus in Korean and 5 sense tagged corpus in English. The experimental results show that multiple feature decision lists are more effective than single feature decision lists in disambiguating senses.