• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.1
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• pp.33-40
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• 2012

This paper proposes a method to implement biological early warning systems(BEWS). This system generates periodically data event using a monitoring daemon and it extracts the feature parameters from this data sets. The feature parameters are derived with 6 variables, x/y coordinates, distance, absolute distance, angle, and fractal dimension. Specially by using the fractal dimension theory, the proposed algorithm define the input features represent the organism characteristics in non-toxic or toxic environment. And to find a moderate algorithm for learning the extracted feature data, the system uses an extended learning algorithm(UChoo) popularly used in machine learning. And this algorithm includes a learning method with the extended data expression to overcome the BEWS environment which the feature sets added periodically by a monitoring daemon. In this algorithm, decision tree classifier define class distribution information using the weight parameter in the extended data expression. Experimental results show that the proposed BEWS is available for environmental toxicity detection.

• Archives of design research
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• v.16 no.2
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• pp.121-130
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• 2003

The diffusion expressive power means the flexibility of which creative power test spheres(fluency, originality) by Torrance is ability making the considerations, thoughts and concepts to the meaningful symbolic change. This study is willing to develop and improve program toward the diffusion expressive power and is to testify training effect of the students are majoring design with the object. The training programs composed of six levels which is based on the theory of Eskild Tjalve. And the parameters of each levels are element, function, number, arrangement, form geometric, size and have to practice 2 weeks at once by 12 weeks. For successful measuring the effective results of this study, 40 undergraduate junior students in the department of design are grouped to excercise with experimental pilot group and regulated group. The standard type of creative paper is used to evaluate the results of student's training. This study give proof that creative power of the experimental pilot and under training group is higher than the regulated and under comparison group at in the conclusion.

• The Journal of the Korea Contents Association
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• v.16 no.5
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• pp.335-350
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• 2016

Learning the principles of perception belongs to both the psychology and art field. However, people define that an art education is an activity of expression, so an activity of an art appreciation is either downsized or hardly proceeded in an art class. Therefore, the art appreciation educational program that gives a motivation to appreciate the work of art and to minimize a burden towards the activity of an art appreciation is needed. This paper proposes an educational program that includes activities to appreciate the work of art using the principles of perception and to create personal portfolios. Also, we analyze the eye movement of the paintings according to the principles of perception. Finally, proposes the art appreciation education program based on Feldman's critique method. In addition, we illustrate the example of the proposed art appreciation educational program with the analyzed paintings from section III.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.6
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• pp.187-194
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• 2020

This paper proposes a website fingerprinting method using ensemble learning over a Tor network that guarantees client anonymity and personal information. We construct a training problem for website fingerprinting from the traffic packets collected in the Tor network, and compare the performance of the website fingerprinting system using tree-based ensemble models. A training feature vector is prepared from the general information, burst, cell sequence length, and cell order that are extracted from the traffic sequence, and the features of each website are represented with a fixed length. For experimental evaluation, we define four learning problems (Wang14, BW, CW_T, CW_H) according to the use of website fingerprinting, and compare the performance with the support vector machine model using CUMUL feature vectors. In the experimental evaluation, the proposed statistical-based training feature representation is superior to the CUMUL feature representation except for the BW case.

• Journal of the Korea Society of Computer and Information
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• v.16 no.12
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• pp.157-165
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• 2011

As the contents of information were reinforced the rules of computer science, it was necessary to develop the new teaching and learning plans and various education materials that encourage students and easy to access. So, in this study developed a wide ran of play activities and educational materials without using a computer for the area of information representation and applied to 68 students, second grade of middle school for 4 weeks. After the class, the effect on the learning achievement was verified by the t-test. As a result, it was shown that there was a significant difference between learning with play activities materials and the traditional lecture-type. It means that learning with play activities materials in the information representation influences a positive effect to the learning achievement.

• Journal of KIISE
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• v.45 no.1
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• pp.15-21
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• 2018

Low-Rank Representation (LRR) based methods are widely used in many practical applications, such as face clustering and object detection, because they can guarantee high prediction accuracy when used to constructing graphs in graph - based semi-supervised learning. However, in order to solve the LRR problem, it is necessary to perform singular value decomposition on the square matrix of the number of data points for each iteration of the algorithm; hence the calculation is inefficient. To solve this problem, we propose an improved and faster LRR method based on the recently published Fast LRR (FaLRR) and suggests ways to introduce and optimize additional constraints on the underlying optimization goals in order to address the fact that the FaLRR is fast but actually poor in classification problems. Our experiments confirm that the proposed method finds a better solution than LRR does. We also propose Fast MLRR (FaMLRR), which shows better results when the goal of minimizing is added.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.12
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• pp.2946-2952
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• 2014

Among the Example based Super Resolution(SR) techniques, Neighbor embedding(NE) has been inspired by manifold learning method, particularly locally linear embedding. However, the poor generalization of NE decreases the performance of such algorithm. The sizes of local training sets are always too small to improve the performance of NE. We propose the Learning Sparse-Neighbor Image Representation baesd on SVR having an excellent generalization ability to solve this problem. Given a low resolution image, we first use bicubic interpolation to synthesize its high resolution version. We extract the patches from this synthesized image and determine whether each patch corresponds to regions with high or low spatial frequencies. After the weight of each patch is obtained by our method, we used to learn separate SVR models. Finally, we update the pixel values using the previously learned SVRs. Through experimental results, we quantitatively and qualitatively confirm the improved results of the proposed algorithm when comparing with conventional interpolation methods and NE.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.3
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• pp.209-228
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• 2018

The primary purpose of this study is to analyze the learning activities of "the Reading a Book per Semester" with the goal of finding ways to collaborate with the school library. "the Reading a Book per Semester" is a program that requires students to read during the timetable-designated "Korean" class instead of encouraging students to read outside of class, as has been the case thus far. The program was designed by 3 parts: reading, sharing, and formulating. However, an analysis of 11 Korean textbooks and 22 approaches to the program showed that the model has shifted to . Under this new model, schools could expand each step in the following ways: utilize the school libraries more as the book search space during the selection process; include writing a reading diary in the reading process; and further encourage students to read outside of the classrooms in the formulating step. If these amendments were to be applied, they would strengthen the educational purpose of the school libraries within schools.

• The KIPS Transactions:PartA
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• v.19A no.1
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• pp.9-16
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• 2012

Abstract In informatics subject, a good understanding of information representation and the structure of materials is the first step to acquire the basic principles of computer science. But few studies have ever focused on the educational significance of the structure of materials in informatics subject or how to organize materials in a manner to stimulate students to introspect. The purpose of this study was to examine whether the 'information representation and management' sections of informatics textbooks of the revised 2007 curriculum that have been in use since 2010 had an inquiry tendency or not. As a result of analyzing the textbooks by utilizing Romey method, one textbook was found to have an inquiry tendency in terms of texts, figures/diagrams, activities and questions at the end of chapters. If textbooks are just organized to convey knowledge, it might result in making students less interactive in class. Specifically, informatics is a subject to teach basic problem-solving skills by using IT, and the findings of the study suggest that students who get less interactive in class are likely to have less chances to learn about how to solve the given problems in diverse ways.

• The Mathematical Education
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• v.58 no.3
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• pp.403-422
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• 2019

As the informal graph was introduced newly in the area of function in middle school mathematics curriculum revised in 2015, ten publishing company became to have a concern on how to represent the graph content uniquely and newly. At this time, it may be meaningful and useful to compare and analyze the content of the graph unit shown on each textbook published by publishing companies. To accomplish this, on fundamentally the basis of diverse prior researches this study tried to select the elements of expression and interpretation of the graph and establish an analytic frameworks of expression and interpretation of the graph respectively. This study executed the frequency analysis and cross analysis by textbook system, textbook, and the number of the graph drawn on a coordinate plane on the representation and interpretation of the graph. As a result, the textbook contains more items on interpretation than the representation of the graph, and students showed a learning effect on the graph unit but showed a neutral response to the impact of learning. This basic and essential paper shed light on developing the practical and more creative textbook which has diversity and characteristic respectively, while adjusting the scope of the elements of the graph's representations and interpretations and providing proper level and quality content.