• Journal of the Korean Society of Earth Science Education
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• v.5 no.1
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• pp.75-87
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• 2012

The purpose of this study is to find out the effects of internet resource-based problem-based learning on the academic achievement in science and the attitude toward science of elementary school students. One experiment class and one control class of grade 6 students were selected to perform a prior investigation on the academic achievement in science and the attitude toward science, then the experiment class attended 4 weeks of lessons that was applied the internet resource-based problem-based learning, and the control class attended the traditional lessons based on the guidelines of teachers. After conducting lessons, a post investigation was performed for each class and the results were analyzed to produce the following conclusions. First, the internet resource-based problem-based learning could be seen to be effective in improving the students' academic achievements in science. The internet resource-based problem-based learning seemed to make students recognize the lesson details better and grasp well the questions given during lessons from the process of finding solutions among many informations and data on the internet. Second, the internet resource-based problem-based learning had a positive effect on all attitudes' areas toward science of students. It looked like that the internet resource-based problem-based learning taught the students to use the internet resources and gave them a friendly feeling, so the children could actively participate in class and had positive recognition on science. Third, from teacher observation and the result of the student recognition investigation, we could know that the students showed lots of interests in the internet resource-based problem-based learning, and they were able to understand the scientific theories in the process of solving problems that were relevant to real life, and thought science in a positive way.

• Fashion & Textile Research Journal
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• v.13 no.2
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• pp.215-225
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• 2011

The purpose of this study is to identify the differences in persuasive effectiveness of visual merchandising according to merchandise class. For the experiment, 8 stimuli brands were selected. A total of 360 questionnaires were obtained from college students. The results were as follows. First, VM cognition were divided into 3 factors by confirmatory factor analysis: coordination, attractiveness, and function. Second, coordination and function had a positive effect on brand attitude. Third, brand attitude had a positive impact on brand loyalty. Fourth, it was revealed that merchandise class had a moderating role in the influence of VM cognition on brand attitude. This study has a meaning in that the theoretical extension of previous studies on VM was executed and demonstrated the moderating role of merchandise class when brand attitude was formed by VM cognition.

• The Journal of Korean Association of Computer Education
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• v.23 no.4
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• pp.69-78
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• 2020

In the era of the 4^th industrial revolution and convergence, various discussions and studies have been conducted to develop future social talents, and through this, the need for creative convergence talents is increasing. In line with the change to a software-oriented society, countries around the world are trying to strengthen SW education, but high school students' awareness of the necessity of information subject and SW education that is the center of convergence is insufficient. Therefore, opportunities for convergence of the information subject and various fields should be provided. In this study, information education was converged to the science exploration experiment subject to construct an educational program that can develop creative convergence, and a convergence class using physical computing were applied to high school students for 9 hours. As a result of the experiment, the recognition of SW education of the experimental group was improved, and it was confirmed that the learner's convergence literacy of the experimental group was statistically different from that of the control group that conducted the general science experiment class.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.2
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• pp.56-64
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• 2018

In recent years, imbalanced data is one of the most important and frequent issue for quality control in industrial field. As an example, defect rate has been drastically reduced thanks to highly developed technology and quality management, so that only few defective data can be obtained from production process. Therefore, quality classification should be performed under the condition that one class (defective dataset) is even smaller than the other class (good dataset). However, traditional multi-class classification methods are not appropriate to deal with such an imbalanced dataset, since they classify data from the difference between one class and the others that can hardly be found in imbalanced datasets. Thus, one-class classification that thoroughly learns patterns of target class is more suitable for imbalanced dataset since it only focuses on data in a target class. So far, several one-class classification methods such as one-class support vector machine, neural network and decision tree there have been suggested. One-class support vector machine and neural network can guarantee good classification rate, and decision tree can provide a set of rules that can be clearly interpreted. However, the classifiers obtained from the former two methods consist of complex mathematical functions and cannot be easily understood by users. In case of decision tree, the criterion for rule generation is ambiguous. Therefore, as an alternative, a new one-class classifier using hyper-rectangles was proposed, which performs precise classification compared to other methods and generates rules clearly understood by users as well. In this paper, we suggest an approach for improving the limitations of those previous one-class classification algorithms. Specifically, the suggested approach produces more improved one-class classifier using hyper-rectangles generated by using Gaussian function. The performance of the suggested algorithm is verified by a numerical experiment, which uses several datasets in UCI machine learning repository.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.27 no.6
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• pp.653-662
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• 2014

The data repositories for structural experiment information needs to be efficient to use in order to allow structural engineers and researchers to store and retrieve easily the information involved in the structural experiments. The data repositories can be evaluated in terms of the organization of the data repositories themselves and of the organization of the actual experiment information in the data repositories, which can be represented using classes and objects with their attributes. This paper proposes the evaluation criteria of attributes of the classes and objects. The evaluation criteria of the attributes of the classes, such as the number of attributes in class and the numbers of the data-valued and object entity-valued attributes, are used for understanding the complexity of the organization of the data repositories. The evaluation criteria of the attributes of the objects, such as the number of valued attributes in object, are used for describing how the actual experiment information is stored through the levels in the data repositories for the structural experiment information.

• Journal of Korean Elementary Science Education
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• v.37 no.3
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• pp.296-308
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• 2018

The purpose of this study is to analyze the characteristics and differences of gesture between career teachers and novice teachers in elementary science class. In order to analyze the gesture of elementary science teachers, gesture analysis framework was developed. The teachers who participated in the experiment were 2 beginner teachers and 2 career teachers. We analyzed 'bones and muscles', 'digestion', 'breathing', and 'excretion' of 'body' section in the second semester of 5th grade. The video recording of the class scene with the camcorder was recorded and analyzed by Observer XT. The results of this study are summarized as follows. First, the career teacher lessens unnecessary gestures than the novice teacher. During the class, the career teachers lessened the gestures not related to the context of the class. These differences were more prominent in the activities of the group with many unexpected situations than those of the teachers who prepared the class contents. Second, career teachers have more communication control act than novice teachers. Career teachers have often made adjustments to induce learner presentations or control unnecessary utterances. Third, career teachers efficiently interacted with learners using gestures that can enhance communication.

• Journal of the Korean Home Economics Association
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• v.11 no.3
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• pp.285-298
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• 1973

The colorfastness of dying persipiration and laundry on summer clothing must be considered, because it has special relation to the human body. The colors of fibers as cotton, p/c, acryl, polyester and nylon which have been widely used for blouse and T-Shirt of Knitted wear are R-P, Y-G, BI-B and print. Studies were carried out with persipirometer, for the natural fiber of cotton the chemical one of nylon, with additional stuff involved, which polluted. The experiment was conducted to colorfastness with acid solution and alkaline solution to see the alteration of color and staining of man-made persiperation. The results obtained from this experiment can be summerized as follows. 1. The order of color alteration isnylon < p/c < coton < polyester < acryl, and the nylon shows the lowest colorfastness, which is 3 class, and the acrly shows the highest colorfateness, which is 5 class. The staining of multifiber test of cotton fabric is nylon < p/c < polyester < cotton < acryl. The staining of multifiber of nylon fabric is nylon polyester < p/c < cotton < acryl. 2. In acid solution and alkaline solution, the alteration of color and staining makes almost no difference, but concerning staining of cotton, the acid solution is lower than the case of alteration solution only. 3. In the pollution on cotton and nylon, the latter is more easily polluted than the former regardless of fabrics. Especially in case of polluted nylon, ti shows the lowest color fastness (2 class), which causes a problem of the dying process and dye stuffs. 4. No difference of color alteration shows among them, but R-P and print show low color fastness (2 class), especially printed nylon shows the lowest value (1 class).

• Journal of Forest and Environmental Science
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• v.33 no.2
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• pp.97-104
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• 2017

Investigation was carried out on response of Tetrapleura tetraptera (Schum. and Thonn.) to soil, water and light with the view of its domestication and introduction to different ecological regions. The experiment was arranged in a factorial experiment of $3{\times}3{\times}3$ in a completely randomized design (CRD) with three replicates. The factors were: soil textural class (Loamy sand, Sand and Sandy clay loam), watering regime (daily, twice a week and once a week) and light intensity (100%, 75% and 50%). Soil textural classes had significant influence on collar diameter, stem height, number of leaflets, root/shoot ratio and relative growth rate of Tetrapleura seedlings. Seedlings grown on loamy sand recorded the highest mean value- 2.28 mm for collar diameter, stem height- 12.9 cm, number of leaflets- 19.9, chlorophyll b- $0.34mg\;mL^{-1}$, leaf relative water content- 27.4% and relative growth rate- $0.037mg\;g^{-1}\;day^{-1}$. Watering regime had significant influence on the collar diameter of Tetrapleura. Seedlings watered daily recorded the highest mean value- 2.25 mm for collar diameter. Light intensity significantly influenced collar diameter and root/shoot ratio. Seedlings exposed to 100% light intensity recorded higher mean value for collar diameter- 2.28 mm and root/shoot ratio- 1.481 cm. The interaction between soil textural class and light intensity significantly affected collar diameter, stem height and number of leaflets. Higher mean value for collar diameter (2.47 mm) stem height (13.25 cm) and number of leaflets (21.16) were recorded while the interaction between soil textural class, light intensity and watering regime was significant for only number of leaflets. Tetrapleura exhibited some level of tolerance to different soil texture, drought and light intensity. Therefore, Tetrapleura has the potentials to be raised in different ecological zones characterized by difference in soil, rainfall and amount of sunshine.

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.438-441
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• 2007

Recently, due to molecular biology and engineering technology, DNA microarray makes people watch thousands of genes and the state of variation from the tissue samples of living body. With DNA Microarray, it is possible to construct a genetic group that has similar expression patterns and grasp the progress and variation of gene. This paper practices Cluster Analysis which purposes the discovery of biological subgroup or class by using gene expression information. Hence, the purpose of this paper is to predict a new class which is unknown, open leukaemia data are used for the experiment, and MCL (Markov CLustering) algorithm is applied as an analysis method. The MCL algorithm is based on probability and graph flow theory. MCL simulates random walks on a graph using Markov matrices to determine the transition probabilities among nodes of the graph. If you look at closely to the method, first, MCL algorithm should be applied after getting the distance by using Euclidean distance, then inflation and diagonal factors which are tuning modulus should be tuned, and finally the threshold using the average of each column should be gotten to distinguish one class from another class. Our method has improved the accuracy through using the threshold, namely the average of each column. Our experimental result shows about 70% of accuracy in average compared to the class that is known before. Also, for the comparison evaluation to other algorithm, the proposed method compared to and analyzed SOM (Self-Organizing Map) clustering algorithm which is divided into neural network and hierarchical clustering. The method shows the better result when compared to hierarchical clustering. In further study, it should be studied whether there will be a similar result when the parameter of inflation gotten from our experiment is applied to other gene expression data. We are also trying to make a systematic method to improve the accuracy by regulating the factors mentioned above.

• Bulletin of the Society of Naval Architects of Korea
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• v.6 no.1
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• pp.35-42
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• 1969

Penetrations of arc welding electrades are different by changing welding conditions, welding speed of travel and current, even though quite same ones. Changing status of penetration is studied by changing welding speed of travel keeping welding current constant, at first, and by changing welding current keeping welding speed of travel which was obtained prior experiment constant, afterward. The F-100 4mm $\phi$ rods, E4301 class, which covering substance is mainly ilmenite and a domestic representative product of this class electrode, are used for this experiment. The Marquette's No.130 5/32"(4mm)$\phi$ rods, E6011 class, and No. 140 5/32"(4mm)$\phi$, E6013 class, which were produced in the United Stated, are used to compare penetration with F-100 at same welding conditions. The covering substance of Marquette's No. 130 rods is mainly cellulose, and belong to deep penetration arc welding electrodes, the covering material of another rods is titania, and a kind f shallow penetration rods. The result of this study is as follow : penetration of F-100, domestic ilmentite covering electrade, E4301 class, is between E6011 and E6013 of the United States products. At the lower range of welding current, penetration is closer to E6013 than E6011, at the higher range, closer to E6011 than another; and the value of penetration ranges $1.65{\sim}2.70mm$ for 4mm$\phi$ rods in the adequate current range. The changing status of penetration is showed by following experimental formula. $P=KE_v^{-\frac{2}{5}}1^{\frac{3}{2}}$