• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.5079-5086
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• 2011

The purpose of this study was to examine the oral health status and knowledge of dental laboratory technology student for the community to improve oral health and oral health education to help. The subjects in this study were 160 students in dental laboratory technology at the University located in Chung-cheong and surveyed from November 2010 to December 2010. The finding of the study were as follows: The differences in oral care knowledge according general characteristics of subjects was statistically significant to the gender was higher in men than women, age was higher and higher the grade was higher in grade level(p<0.05). The differences in oral care knowledge according oral health status of subjects was statistically significant to regarding the frequency of tooth brushing was highest rate in five times, method was on the side tooth higher and using the dental floss and interdental brush are used by the higher availability(p<0.05). Thus, in the classroom oral health education and continuous learning from the people know that oral health care could differ. Oral health education in local communities to increase opportunities and people will need to improve oral health.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.439-448
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• 2016

This study analyzed the influence of cultural empathy and analysis on the cultural sensitivity and understanding of multicultural education and the relationship between the attitudes and cultural empathy and understanding of multicultural education and the multicultural sensibility and attitudes of pre-service early childhood teachers. We conducted a survey on cultural sensitivity, multicultural education and understanding attitude among Early Childhood Education College and enrolled 165 infants with pre teachers in pre-service early childhood teachers who are able to sympathize with cultural areas of the Y. The data were subjected to Pearson correlation analysis with multiple regression analysis performed using the SPSS 21.0 program. From the data analysis, first, cultural empathy and multicultural sensitivity showed a significant positive correlation with understanding and attitudes of multicultural education pre-service early childhood teachers. Second, cultural empathy of the pre-service early childhood teachers was a significant variable for predicting the susceptibility multicultural, multicultural education and understanding attitude. Since cultural empathy can change according to various factors, future investigation of these factors is needed to increase the cultural sensitivity of pre-service early childhood teachers by conducting follow-up studies that apply these findings to educational programs. Cultural empathy shouldn't be limited to multicultural education or simply a means to access the field of experiencing the arts, but should be expanded to include research in teaching and learning on how cultural empathy can be applied to the overall educational curriculum.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.31 no.4
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• pp.123-128
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• 2013

This study was performed with an aim to examine the inner thoughts of Muso Soseki through his works. In this study, we reviewed currently existing Mus$\bar{o}$ Soseki. Works in which his idea or intention behind his works are to be understood in terms of landscaping science or religious perspective. Targeting his best representative works of temple gardens such as Jochou-ji, Eiho-ji, Zuisen-ji, Tenryu-ji, it was sought his view of gardening and technique of garden making. Those temples, selected as target of this study, have significance as a places to have started his learning till matured of his thought into his gardening works. What we need to concentrate and think about regarding the works of Muso is the fact that we are to be impressed upon just looking at his works. The study result indicates that Muso not only symbolized his various mastered ideas & philosophies into spatial configuration into the garden based on Zen Buddhism idea, but also accomplished the Sabi-gardening beauty. Through his writing "Mongjoongmundap(夢中問答)" that is created using his core thoughts, his works can be understood better. This study has significance in that the idea. It could be understood that Muso's work is rooted in the basic idea of three ideas. The first of it is Zen philosophy being indicated in his configuration of gardening such as Zen meditation Stone, cave, chamdo etc. The second of it is shown as the merciful heart of Sangguboje(上求普提), Hahwajoongsaeng(下化衆生), being indicated in his configuration of gardening such as the pond And finally, there appears the Tao idea. Taoist thought has become of where the background space.

• Journal of KIISE:Software and Applications
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• v.26 no.11
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• pp.1372-1380
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• 1999

본 논문에서는 자연언어 문장의 객관적 정량적인 질 측정 방법의 구축에 대해 설명하고, 이를 문장 퇴고 시스템의 사례에 적용해 본다. 문장의 질을 평가한다는 것은 본질적으로 주관적이고 정량화가 어려운 작업이기 때문에, 이 과정에서 질의 객관적 계량화가 가능한지 여부가 가장 중요한 문제가 된다. 이 논문에서는 이러한 문제를 해결하기 위해 유전자 알고리즘을 이용한 진화적 접근 방법을 통해 객관적이고 정량적인 질의 측정 공식을 유도하는 방법론을 제시하였다. 이 논문에서 제시한 방법론의 핵심은 간단히 말해서 사람이 행하는 정성적인 판단을, 이에 가장 근접하는 정량적 측정 체계로 전환시키는 것이라고 보면 된다. 이것을 위해 정량화 문제를 문장의 단순 언어 특징들의 변화값을 이용한 최적화 문제로 환원시키고, 다시 이 최적화 문제를 유전자 알고리즘을 이용해 해결함으로써 문제를 효과적으로 해결할 수 있었다. 실험 결과를 보면, 본 논문에서 제시한 최적화 방법은 주어진 훈련용 예제와 검증용 예제 중 각각 99.84%, 99.88%를 만족시키는 해를 찾아내었으므로 정량적 질 평가 공식의 유도에 매우 효과적임을 알 수 있었다. 또한 도출된 측정 공식을 이용해서 실제 퇴고 시스템 평가에 적용한 결과 문장 질의 측정에 매우 유용하게 이용될 수 있음을 알 수 있었다. 이와 같이 질의 정량적 평가가 가능하다는 사실이 갖는 또 한가지 중요한 의미는 최종 사용자의 구매 의사나 개발자의 공학적 의사 결정을 위한 객관적 성능 평가 자료의 제공에 이 방법이 유용하게 사용될 수 있다는 점이다.Abstract This paper describes a method of building a quantitative measure of the quality of natural language sentences, particularly produced by document revision systems. Evaluating the quality of natural language sentences is intrinsically subjective, so what is most important as to the evaluation is whether the quality can be measured objectively. To solve such problem of objective measurability, genetic algorithm, an evolutionary learning method, is employed in this paper. The underlying standpoint of this approach is that building the quality measures is a task of constructing a formulae that produces as close results as can to the qualitative decisions made by humans. For doing this, the problem of measurability has been simply reduced to an optimization problem using the change of the values of simple linguistic parameters found in sentences, and the reduced problem has been solved effectively by the genetic algorithm. Experimental result shows that the optimization task satisfied 99.84% and 99.88% of the given objectives for training and validation samples, respectively, which means the method is quite effective in constructing the quantitative measure of the quality of natural language sentences. The actual evaluation result of a revision system shows that the measure is useful to quantize the quality of sentences. Another important contribution of this measure would be to provide an objective performance evaluation data of natural language systems on a basis of which end-users and developers can make their decision to fit their own needs.

• International Journal of Contents
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• v.12 no.2
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• pp.12-23
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• 2016

This paper presents a novel concept of Disaster Prevention Design (DPD) and its derived subjects and topics for the safety of folk villages in both Korea and Japan. Nowadays, design concepts are focused on 'human-oriented nature' as a whole and this tendency fits to be appropriate for disaster prevention against real dangers of a future society, which is expected to have far more complicated features. On the other hand, convergences have performed with other areas in the field of Information Communication Technology (ICT) so that we can easily find examples like 'the strategy of ICT-based convergence' of the Korean Government in 2014. Modern content designs including UI (user interface) and USN (ubiquitous sensor network) have been developed as one of the representative areas of ICT & UD (universal design) convergences. These days this novel concept of convergence is overcoming the existing limitations of the conventional design concept focused on product and/or service. First of all, from that point our deduced topic or subject would naturally be a monitoring system design of constructional structures in folk villages for safety. We offer an integrated model of maintenance and a management-monitoring scheme. Another important point of view in the research is a safety sign or sign system installed in folk villages or traditional towns and their standardization. We would draw up and submit a plan that aims to upgrade signs and sign systems applied to folk villages in Korea and Japan. According to our investigations, floods in Korea and earthquakes in Japan are the most harmful disasters of folk villages. Therefore, focusing on floods in the area of traditional towns in Korea would be natural. We present a water-level expectation model using deep learning simulation. We also apply this method to the area of 'Andong Hahoe' village which has been registered with the World Cultural Heritage of UNESCO. Folk village sites include 'Asan Oeam', 'Andong Hahoe' and 'Chonju Hanok' villages in Korea and 'Beppu Onsen' village in Japan. Traditional Streets and Markets and Safe Schools and Parks are also chosen as nearby test-beds for DPD based on ICT. Our final goal of the research is to propose and realize an integrated disaster prevention and/or safety system based on big data for both Korea and Japan.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.10
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• pp.723-730
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• 2013

This paper presents the design of an arm gesture recognition system using Kinect sensor. A variety of methods have been proposed for gesture recognition, ranging from the use of Dynamic Time Warping(DTW) to Hidden Markov Models(HMM). Our system learns a unique HMM corresponding to each arm gesture from a set of sequential skeleton data. Whenever the same gesture is performed, the trajectory of each joint captured by Kinect sensor may much differ from the previous, depending on the length and/or the orientation of the subject's arm. In order to obtain the robust performance independent of these conditions, the proposed system executes the feature transformation, in which the feature vectors of joint positions are transformed into those of angles between joints. To improve the computational efficiency for learning and using HMMs, our system also performs the k-means clustering to get one-dimensional integer sequences as inputs for discrete HMMs from high-dimensional real-number observation vectors. The dimension reduction and discretization can help our system use HMMs efficiently to recognize gestures in real-time environments. Finally, we demonstrate the recognition performance of our system through some experiments using two different datasets.

• Journal of Korean Home Economics Education Association
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• v.20 no.3
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• pp.215-230
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• 2008

Activity materials in textbook could facilitate students' oriented self-help learning. The purpose of this paper is to find out characteristics of activity materials in the housing area of middle school Technology and Home Economics and teacher's perception of them. The data were collected from 253 middle school teachers who had ever taught the housing unit in any of 6 textbooks. The results showed that the number of activity materials were differed by the characteristics of the materials such as type of materials, feature of non sentence materials, and type of activity, depend on authors as well as textbooks. In general, teachers interests in the materials were higher than those of students even the trends of the interests were the same. Adequacy of activity contents and related knowledge of teachers were higher than adequacy of level. Teachers thought time and extra search beyond class were barrier to full the interests of students. Further research is suggested to find out whether higher interests in the materials are related to the higher activating rate of them.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.6
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• pp.747-752
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• 2006

In this paper, the adaptive fuzzy sliding mode controller with two systems is designed. The existing sliding mode controller used to $approximation{\^{u}}(t)$ with discrete sgn function and sat function for keeping the state trajectories on the sliding surface[1]. The proposed controller decrease the disturbance for uncertain control gain and This paper is concerned with an Adaptive Fuzzy Sliding Mode Control(AFSMC) that the fuzzy systems ate used to approximate the unknown functions of nonlinear system. In the adaptive fuzzy system, we adopt the adaptive law to approximate the dynamics of the nonlinear plant and to adjust the parameters of AFSMC. The stability of the suggested control system is proved via Lyapunov stability theorem, and convergence and robustness properties ate demonstrated. Futhermore, fuzzy tuning improve tracking abilities by changing some sliding conditions. In the traditional sliding mode control, ${\eta}$ is a positive constant. The increase of ${\eta}$ has led to a significant decrease in the rise time. However, this has resulted in higher overshoot. Therefore the proposed ${\eta}$ tuning AFSMC improve the performances, so that the controller can track the trajectories faster and more exactly than ordinary controller. The simulation results demonstrate that the performance is improved and the system also exhibits stability.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.3
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• pp.114-123
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• 2016

The effective feature extraction method for unmanned aerial vehicle (UAV) detection is proposed and verified in this paper. The UAV engine sound is harmonic complex tone whose frequency ratio is integer and its variation is continuous in time. Using these characteristic, we propose the feature vector composed of a mean and standard deviation of difference value between fundamental frequency with 1st overtone as well as mean variation of their frequency. It was revealed by simulation that the suggested feature vector has excellent discrimination in target signal identification from various interfering signals including frequency variation with time. By comparing Fisher scores, three features based on frequency show outstanding discrimination of measured UAV signals with low signal to noise ratio (SNR). Detection performance with simulated interference signal is compared by MFCC by using ELM classifier and the suggested feature vector shows 37.6% of performance improvement As the SNR increases with time, the proposed feature can detect the target signal ahead of MFCC that needs 4.5 dB higher signal power to detect the target.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.2
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• pp.76-86
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• 2016

SQL Injection attacks are the most widely used and also they are considered one of the oldest traditional hacking techniques. SQL Injection attacks are getting quite complicated and they perform a high portion among web hacking. The big data environments in the future will be widely used resulting in many devices and sensors will be connected to the internet and the amount of data that flows among devices will be highly increased. The scale of damage caused by SQL Injection attacks would be even greater in the future. Besides, creating security solutions against SQL Injection attacks are high costs and time-consuming. In order to prevent SQL Injection attacks, we have to operate quickly and accurately according to this data analysis techniques. We utilized data analytics and machine learning techniques to defend against SQL Injection attacks and analyzed the execution plan of the SQL command input if there are abnormal patterns through checking the web log files. Herein, we propose a way to distinguish between normal and abnormal SQL commands. We have analyzed the value entered by the user in real time using the automated SQL Injection attacks tools. We have proved that it is possible to ensure an effective defense through analyzing the execution plan of the SQL command.