• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.205-225
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• 2018

Convolutional Neural Network (ConvNet) is one class of the powerful Deep Neural Network that can analyze and learn hierarchies of visual features. Originally, first neural network (Neocognitron) was introduced in the 80s. At that time, the neural network was not broadly used in both industry and academic field by cause of large-scale dataset shortage and low computational power. However, after a few decades later in 2012, Krizhevsky made a breakthrough on ILSVRC-12 visual recognition competition using Convolutional Neural Network. That breakthrough revived people interest in the neural network. The success of Convolutional Neural Network is achieved with two main factors. First of them is the emergence of advanced hardware (GPUs) for sufficient parallel computation. Second is the availability of large-scale datasets such as ImageNet (ILSVRC) dataset for training. Unfortunately, many new domains are bottlenecked by these factors. For most domains, it is difficult and requires lots of effort to gather large-scale dataset to train a ConvNet. Moreover, even if we have a large-scale dataset, training ConvNet from scratch is required expensive resource and time-consuming. These two obstacles can be solved by using transfer learning. Transfer learning is a method for transferring the knowledge from a source domain to new domain. There are two major Transfer learning cases. First one is ConvNet as fixed feature extractor, and the second one is Fine-tune the ConvNet on a new dataset. In the first case, using pre-trained ConvNet (such as on ImageNet) to compute feed-forward activations of the image into the ConvNet and extract activation features from specific layers. In the second case, replacing and retraining the ConvNet classifier on the new dataset, then fine-tune the weights of the pre-trained network with the backpropagation. In this paper, we focus on using multiple ConvNet layers as a fixed feature extractor only. However, applying features with high dimensional complexity that is directly extracted from multiple ConvNet layers is still a challenging problem. We observe that features extracted from multiple ConvNet layers address the different characteristics of the image which means better representation could be obtained by finding the optimal combination of multiple ConvNet layers. Based on that observation, we propose to employ multiple ConvNet layer representations for transfer learning instead of a single ConvNet layer representation. Overall, our primary pipeline has three steps. Firstly, images from target task are given as input to ConvNet, then that image will be feed-forwarded into pre-trained AlexNet, and the activation features from three fully connected convolutional layers are extracted. Secondly, activation features of three ConvNet layers are concatenated to obtain multiple ConvNet layers representation because it will gain more information about an image. When three fully connected layer features concatenated, the occurring image representation would have 9192 (4096+4096+1000) dimension features. However, features extracted from multiple ConvNet layers are redundant and noisy since they are extracted from the same ConvNet. Thus, a third step, we will use Principal Component Analysis (PCA) to select salient features before the training phase. When salient features are obtained, the classifier can classify image more accurately, and the performance of transfer learning can be improved. To evaluate proposed method, experiments are conducted in three standard datasets (Caltech-256, VOC07, and SUN397) to compare multiple ConvNet layer representations against single ConvNet layer representation by using PCA for feature selection and dimension reduction. Our experiments demonstrated the importance of feature selection for multiple ConvNet layer representation. Moreover, our proposed approach achieved 75.6% accuracy compared to 73.9% accuracy achieved by FC7 layer on the Caltech-256 dataset, 73.1% accuracy compared to 69.2% accuracy achieved by FC8 layer on the VOC07 dataset, 52.2% accuracy compared to 48.7% accuracy achieved by FC7 layer on the SUN397 dataset. We also showed that our proposed approach achieved superior performance, 2.8%, 2.1% and 3.1% accuracy improvement on Caltech-256, VOC07, and SUN397 dataset respectively compare to existing work.

• The Journal of Art Theory & Practice
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• no.8
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• pp.33-58
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• 2009

This paper examines four genre paintings on the subject of child education by Jean-Baptiste-Sim${\'{e}}$on Chardin(1699-1779). The Governess, The Diligent Mother, Saying Grace, and The Morning Toilette garnered critical attention after they were exhibited in the Salon from 1739 to 1741. After the exhibition, the paintings were made into prints and frequently sold to members of the bourgeois class in Paris. The iconographical details of Chardin's genre paintings have, thus far, been compared to Dutch genre pictures of the seventeenth century. Further, most studies conducted on Chardin's paintings focus on formal analysis rather than the historical and social contexts. Through attempting social-contextual readings of Chardin's educational series, this paper argues that the significance of Chardin's painting series of child education lies in his representation of the ideal French bourgeois family and the standard of early childhood education in the eighteenth-century French Enlightenment period. In each of the four child education paintings, Chardin depicted a mother with children in a domestic space. Even though this theme derives from traditional Dutch genre paintings in the seventeenth century, the visual motifs, the pictorial atmosphere and the painting techniques of Chardin all project the social culture of eighteenth century France. Each painting in the child education series exemplifies respectively the attire of a French gentlemen, the social view on womanhood and the education of girls, newly established table manners, and the dressing up culture in a 'toilette' in eighteenth century France. Distinct from other educational scenes in previous genre paintings, Chardin accentuated the naive and innocent characteristics of a child and exemplified the mother's warmth toward that child in her tender facial expressions and gesturing. These kinds of expressions illustrate the newly structured standard of education in the French Enlightenment period. Whereas medieval people viewed children as immature and useless, people in the eighteenth century began to recognize children for their more positive features. They compared children to a blank piece of paper (tabula rasa), which signified children's innocence, and suggested that children possess neither good nor bad virtues. This positive perspective on children slowly transformed the pedagogical methods. Teaching manuals instructed governesses and mothers to respect each child's personality rather than be strict and harsh to them. Children were also allotted more playtimes, which explains the display of various toys in the backgrounds of Chardin's series of four paintings. Concurrently, the interior, where this exemplary education was executed, alludes to the virtue of the bourgeois's moderate and thrifty daily life in eighteenth century France. While other contemporary painters preferred to depict the extravagant living space of a French bourgeoisie, Chardin portrayed a rather modest and cozy home interior. In contrast to the highly decorated living space of aristocrats, he presented the realistic, humble domestic space of a bourgeois, filled with modern household objects. In addition, the mother is exceptionally clad in working clothes instead of fashionable dresses of the moment. Fit to take care of household affairs and children, the mother represents the ideal virtues of a bourgeois family. It can be concluded that the four genre paintings of child education by Chardin articulate the new standards of juvenile education in eighteenth century France as well as the highly recognized social virtues between French bourgeois families. Thus, Chardin's series of child education would have functioned as a demonstration of the ideal living standards of the bourgeois class and their emphasis on early childhood education in the French Enlightenment period.

• The Mathematical Education
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• v.63 no.2
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• pp.255-272
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• 2024

This study aims to design mathematics-integrated classes that cultivate artificial intelligence (AI) thinking and to analyze students' AI thinking within these classes. To do this, four classes were designed through the integration of the AI4K12 Initiative's AI Big Ideas with the 2015 revised elementary mathematics curriculum. Implementation of three classes took place with 5th and 6th grade elementary school students. Leveraging the computational thinking taxonomy and the AI thinking components, a comprehensive framework for analyzing of AI thinking was established. Using this framework, analysis of students' AI thinking during these classes was conducted based on classroom discourse and supplementary worksheets. The results of the analysis were peer-reviewed by two researchers. The research findings affirm the potential of mathematics-integrated classes in nurturing students' AI thinking and underscore the viability of AI education for elementary school students. The classes, based on AI Big Ideas, facilitated elementary students' understanding of AI concepts and principles, enhanced their grasp of mathematical content elements, and reinforced mathematical process aspects. Furthermore, through activities that maintain structural consistency with previous problem-solving methods while applying them to new problems, the potential for the transfer of AI thinking was evidenced.

• International Journal of Costume and Fashion
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• v.11 no.1
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• pp.15-33
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• 2011

The late $19^{th}$ and early $20^{th}$ centuries of Korea were the times when the Confucianism (牲理學) ideology was shaken heavily under the influences of modernism and capitalism by Western and Japanese military and political-economic forces. Under such circumstances, alteration of clothing was much influenced by ideologies than changes in social structure or technological advance. In this study, an ideology was defined as "the force which drives people into a particular social order". Ideologies were postulated as an ongoing process of socialization with dialectic features rather than being a static state. Comparative analyses on conflict structures and different clothing patterns symbolizing the ideologies of the Ruling (支配) and the Opposition (對抗) were conducted. Investigating dresses as representations of ideologies is to reconsider the notion of dichotomous confrontation between the conservatives (守舊派) and the progressives (開化派) and a recognition of Koreans' passively accepting modernity during the Japanese occupation. This may also have contributed to enlightening Koreans about modernization. Here are the results. First, the theoretical review found that ideologies were represented by not only symbols of discourse, but also dresses, and that dresses embodied both physical and conceptual systems presenting differences between ideologies and their natures, Second, during the late 19th century Korea, conflict between conservatives' Hanbok (韓服) and progressives' Western suits (洋服) was found. Moderate progressives showed their identity by "Colored Clothing" (深色衣), and radical progressives by black suits with short hair (黑衣斷髮) or by western suits (洋服). The ultimate goal of both parties was a "Modern Nation". With these efforts, pale jade green coats and traditional hats symbolizing the nobleman class was eliminated within 30 years from 1880 to 1910, and then simple robes and short hair emerged. However, the powerful Japanese army had taken over the hegemony of East Asia, and Korea was sharply divided into modernization and pro-Japanese camps. Third, during the time of Japanese colonial rule, the dress codes having set by the modernization policies during the time of enlightenment were abandoned and colonial uniforms for the colonial system was meticulously introduced. During this period, Western or Japanese-style uniforms were the symbol of the ruling ideology. In the mean time, Hanbok, particularly "White Clothing (白衣)", emerged as a representation of the opposition ideology. However, due to Japan's coercive power and strong zeal for "Great orient (大東亞)", white clothing remained as a mere symbol. Meanwhile, Reformists (實力養成論者) movement toward improving quality of life followed a similar path of the Japanese policies and was eventually incorporated into the ruling ideology. Fourth, dresses as representations of ruling ideologies were enforced by organizational powers, such as organizations and laws, and binding policies, and changes in such dresses were more significant when the ruling ideologies were stronger. Clothing of the opposition ideology was expressed as an aggregation of public consciousness. During the period, the subjects of ruling ideology and the objects who were granted modernization benefits were different although their drives for colored clothing with short hair (色衣斷髮) for modernization were similar.

• Journal of KIISE:Information Networking
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• v.35 no.6
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• pp.497-509
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• 2008

Various algorithms and architectures for efficient packet classification have been widely studied. Packet classification algorithms based on a decision tree structure such as HiCuts and HyperCuts are known to be the best by exploiting the geometrical representation of rules in a classifier. However, the algorithms are not practical since they involve complicated heuristics in selecting a dimension of cuts and determining the number of cuts at each node of the decision tree. Moreover, the cutting is not efficient enough since the cutting is based on regular interval which is not related to the actual range that each rule covers. In this paper, we proposed a new efficient packet classification algorithm using a range cutting. The proposed algorithm primarily finds out the ranges that each rule covers in 2-dimensional prefix plane and performs cutting according to the ranges. Hence, the proposed algorithm constructs a very efficient decision tree. The cutting applied to each node of the decision tree is optimal and deterministic not involving the complicated heuristics. Simulation results for rule sets generated using class-bench databases show that the proposed algorithm has better performance in average search speed and consumes up to 3-300 times less memory space compared with previous cutting algorithms.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.12
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• pp.264-275
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• 2017

Objective: This study examines the effects of children's art activities through forest experience in relation with Nuri curriculum on environmental sensitivity. Method: A survey was administered to an experimental group of 20 children as well as a control group of 20 children for statistical analysis. after 16-class art activities through forest experience were performed to children aged 4 at a daycare center for 50 days. Result: Children's art activities through forest experience in relation with Nuri curriculum had a positive effect on their environmental sensitivity. In particular, their art activities had a positive effect on their self-awareness, self-regulation, empathy and motivation in the experimental group, supporting the educational effects and benefits of developmental children's art activities through forest experience in relation with Nuri curriculum. In other words, art activities through forest experience are useful in terms of providing children with creative expression activities in art by leading to observation and exploration, as well as educational experiences that have positive attitudes toward the environment. Conclusion: As children's art activities through forest experience have a positive effect on their environmental sensitivity, more useful information on teaching-learning methods will be able to be provided to early childhood teachers in the field. Consequently, children's art activities through forest experience need to be actively introduced in the field of early childhood education as an alternative for learning nature and improving environment-friendly emotional intelligence.

• Journal of Gifted/Talented Education
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• v.24 no.6
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• pp.1025-1038
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• 2014

The purpose of this study the creative problem-solving of gifted children for elementary school science in order to improve and develop learning programs and STEAM projects by applying that effect would be to provide. To develop this STEAM program, we utilized the steps of the Project Learning method and the KOrea Foundation for the Advancement of science and Creativity(KOFAC) proposed STEAM program, learning the principles and criteria in configuration, the methodology. In order to verify the effectiveness of the developed STEAM program Elementary Science for gifted students with creative problemsolving Questionnaire were used. The program was developed a total of 18 classes, consists of first project to create a solar car, second project to create elastic car. The primary project was selected as one of the topics with the students and selected topics related to previous activities in accordance with articles examining the actual quest, consultation, representation activities in class and finishing with the deliverables and evaluation consisted of 12 classes. The second project is the first project based on a given problem to generate a deliverable by outlining a solution which consists of 6 classes. All of this project was composed by teachers and students to select a common topic on the subject of themselves through a process of problematization, the student-led science, technology, engineering and arts of the area so that the content can be made convergence. The results of the study indicate that this developed STEAM program has a positive effection creative problem solving in a gifted students.

• Journal of The Korean Association For Science Education
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• v.32 no.7
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• pp.1099-1108
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• 2012

The purpose of this study was to examine the effects of argument structure on students' writing in implementation of argument-based inquiry using the Science Writing Heuristic (SWH) approach. Participants of this study were 108 8th grade students (three classes). Two classes (68 students) were assigned to an experimental group, and the other class (35 students) was assigned to a comparative group. The experimental group was taught argument-based inquiry using the Science Writing Heuristic (SWH) approach, while the comparative group was taught with the traditional teaching strategy. After implementing this program, the two groups were asked to write summaries using structured argumentation in their writing. The result of this study showed that the experimental group used better argument structure and multimodal representation such as pictures, graphs and examples in evidence than the comparative group. The quality of evidence used in the students' writing was different between two groups. Students of the comparative group only listed fragments of science concepts for evidence to support their claims, but students of the experimental group explained science concepts by giving specific examples. The findings show that argument-based inquiry using the SWH approach was effective on argument structure in students' writing.

• Archives of design research
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• v.17 no.4
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• pp.211-222
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• 2004

During the 1980s, Textile design achieved a remarkable growth in creating aesthetic effect and in establishing its standing by responding to demands of the time effectively and seeking changes proactively. This was a period when Textile design constructed its modern concept as it was attempting a qualitative improvement through advanced technology, high class, and differentiation. The advent of advanced materials through the development of textile engineering, employment of craft techniques to further cultural and artistic orientation, and restoration of decorativeness in pursuit of sensitivity, all these developments of the 1980s contributed to the rise of above characteristics. In this study, attempts are made to grasp the new trend of Textile design during the 1980s and to review diverse methods of aesthetic creation and plastic possibility which this trend presented for the Textile, and thus to recognize the role of Textile design and its importance in a new light. The new trend of Textile design during the 1980s can be summarized as follows: 1) An appreciation of the creative aspect of the Textile. As attempts are made to emphasize visual and sensitive aspects of the medium, Textile tended to become an object of art itself. 2) A new awareness of the representative and plastic capacity of the fiber material. As attempts are made to develope the creative potential of the Textile, representation of the material tended to become more diversified. 3) A recognition of the Textile as a proper means to deliver the spirit of the time. As the medium accommodates and fuses diverse cultures including traditional culture, more emphasis was place on cultural contents of the Textile. In the process of pursuing these changes, Textile design of the 1980s has also contributed to the creation of new values, laying the groundwork for its emergence as an advanced high value-added industry.

• School Mathematics
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• v.18 no.2
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• pp.257-275
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• 2016

The purpose of this study was to investigate the impact of multiple representations on students' understanding of fractions, decimals, and percent. The instructional approach integrating multiple representations was compared to traditional algorithmic instruction, a form of direct instruction. To examine and compare the impact of multiple representations instruction with traditional algorithmic instruction, pre and post tests consisting of five similar items were administered with 87 middle school students. Students' scores in these two tests and their problem solving processes were analyzed quantitatively and qualitatively. The quantitative results indicated that students taught by traditional algorithmic instruction showed higher scores on the post-test than students in the multiple representations group. Furthermore, findings suggest that instruction using multiple representations does not guarantee a positive impact on students' understanding of mathematical concepts. Qualitative results suggest that the limited use of multiple representations during a class may have hindered students from applying their use in novel problem situations. Therefore, when using multiple representations, teachers should employ more diverse examples and practice with multiple representations to help students to use them without error.