• Journal of Nutrition and Health
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• v.37 no.10
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• pp.928-937
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• 2004

The purpose of this study was to investigate the elementary school teacher's status and recognition of nutrition education (NE) in Incheon. A cross-sectional study was carried out using a self-administered questionnaire and subjects were 147 elementary school teachers. The results are as follows. Only 9.5% of the teachers had training in NE and 71.4% of the teachers with training increased concern about NE after training. As for experience of NE, 61.6% of the teachers experienced NE and more than half of them gave NE less than twice per month. There was a significant difference in reason for not giving NE between subgroups by teaching career; 57.7% of the teachers with career more than 10 years did not give NE due to too much other work. As for existence of nutrition educator in school, 48.9% of the teachers recognized its existence and 91.3% of them answered that dietitians have done NE. For correction of unbalanced diet, good table manner, and nutrition and growth, 97.9% of the teachers answered that NE is necessary in elementary school. As for proper time to start NE, 57.5% of the teachers answered kindergarten and 39,7% answered lower grade of elementary school. As for effective type for NE, 47.3% of the teachers answered NE as a part of other subject and 28.1 % answered NE as a separate subject. Also 69.8% of the teachers answered dietitian as suitable person for NE. As for newly establishing a NE subject, 37.9% of the teachers disagreed and as for most effective method for NE, 73.3% answered NE linked with school lunch program. Most of teachers recognized elementary school students' eating habit problem severe and change of their eating habit such as various food choice, no plate waste and good table manner after school lunch program. Therefore, it should be nationally supported that a standardized NE program is developed and coordinated among teachers, school lunch dietitian as NE specialist, family and community for elementary students' health and well-being.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.4
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• pp.400-405
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• 2005

This paper analyzes the performance of a face recognition algorithm using the eigenfaces method. In the absence of robust personal recognition schemes, a biometric recognition system has essentially researched to improve their shortcomings. A face recognition system in biometries is widely researched in the field of computer vision and pattern recognition, since it is possible to comprehend intuitively our faces. The proposed system projects facial images onto a feature space that effectively expresses the significant variations among known facial images. The significant features are known as 'eigenfaces', because they are the eigenvectors(principal components) of the set of faces. The projection operation characterizes an individual face by a weighted sum of the eigenface features, and to recognize a particular face it is necessary only to compare these weights to those of known individuals. In order to analyze the performance of the system, we develop a face recognition system by using Harvard database in Harvard Robotics Laboratory. We present the recognition rate according to variations on the lighting condition, numbers of the employed eigenfaces, and existence of a pre-processing step. Finally, we construct a rejection curve in order to investigate the practicability of the recognition method using the eigenfaces.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.34S no.7
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• pp.102-111
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• 1997

In this paper, a patern recognition method of surface mount device(SMD) IC using wavelet transform and neural network is proposed. We chose the feature parameter according to the characteristics of coefficient matrix which is obtained from four level discrete wavelet transform (DWT). These feature parameters are normalized and then used for the input vector of neural network which is capable of adapting the surroundings such as variation of illumination, arrangement of objects and translation. Experimental results show that when the same form of feature pattern, as is used for learning, is put into neural network and gained 100% rate ofrecognition irrespective of SMD IC kinds, location and variation of illumination. In the case of unused feature pattern for learning, the recognition rate is 85.9% under the similar surroundings, where as an average recognition rate is 96.87% for the case of reregulated value of illumination. Proosed method is relatively simple compared with the traditional space domain method in extracting the feature parameter and is also well suited for recognizing the pattern's class, position and existence. It can also shorten the processing tiem better than method extracting feature parameter with the use of discrete cosine transform(DCT) and adapt the surroundings such as variation of illumination, the arrangement and the translation of SMD IC.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.4
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• pp.463-470
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• 2008

In this paper, we confirm that the two properties, 'existence of obstacles' and 'connectivity between obstacles', involved in information acquired by a robot can be used efficiently for location recognition of the robot by using rough sets. Moreover, we propose a method which can reduce ambiguity of the location recognition by applying the properties and recognize the robot's location with distrustful information of the environment where the robot moves. We confirmed it through computer simulation that a robot moves to a goal with only the map containing not enough information on the real environment.

• The KIPS Transactions:PartB
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• v.17B no.2
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• pp.107-114
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• 2010

A guitar, a piano, and a violin are popular musical instruments for User Created Contents(UCC). However the patterns of audio signal generated by a guitar and a piano are too similar to differentiate. The difference between two musical instruments can be found by analyzing the frequency variation per each band near signal peaks. The distribution of probability on the existence of signal peaks based on Cumulative Histogram were applied to musical instrument recognition. Experiments with statistical models of the frequency variation per each band near signal peaks showed the 14% improvement of musical instrument recognition.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.251-257
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• 2020

The study investigates the role of commodity prices and tax purpose recognition on bitcoin prices. Since the introduction of bitcoin in 2008, emphasis has focused on economists, policy-makers and analysts drastically increasing bitcoin's accessibility and commodity values (Dumitrescu & Firică, 2014). This study employs GARCH and EGARCH from ARCH/GARCH family on daily nature data. We measure the volatile behavior of bitcoin by employing auto-regressive conditional heteroscedasticity model with the aim to explore the relationship between major commodities and bitcoin volatility. We focus on major commodities like gold, silver, platinum, and crude oil to be regressed with bitcoin. The daily prices of commodities were retrieved from www.investing.com and bitcoin prices from www.coindesk.com for the period from 29April 2013 to 16 October 2018. Results confirmed the currency's long-term volatile behavior, which is due to its composition and market dynamics, whereas the existence of asymmetric information effect is not confirmed. Tax recognition by other countries may in future help in controlling the volatility as bitcoin is not a country-specific security. But, only silver impacts on volatility in comparison to oil prices and platinum, which is due to its similar features with gold. Eventually, bitcoin can be used for risk diversification and money making.

• Journal of the Daesoon Academy of Sciences
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• v.16
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• pp.105-130
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• 2003

Religious Though includes desirable attitudes towards existence of human beings and the value of life. These can be considered as the viewpoint of human being in religions. Also, the recognition frame of human being should be focused on the desirable human formation. That is, human being should not be viewed by already established frames, but human beings should be regarded as the ones that by themselves can build their true figures through developing human nature with the self-awareness of existence and the effort for establishing an ideal character. Without the correct concept of a 'human model', it is impossible to shed light on what the process of the human formation is and how the human formation willbe established. A 'human model', that is the goal of such a formation, might show different aspects if considering the historical situations including the circumstance of individuals and society. However, no matter how different 'human model', which are dependent upon phenomenal problems, are considered, it might most likely fails to grasp a fundamental issue without a 'human model' based on the essential problem of human being. In this regards, it can be considered that a 'Perfect person' with including both fundamental ways and relations of existence is the one enabling to establish a true 'human model' and, I try to show its striking example, 'Injon' that is an ideal 'human model' of Daesoon Thought. Therefore, this paper will show the interpretation and understanding of human beings in Daesoon Thought, and examine what their meanings are.

• Journal of Environmental Science International
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• v.14 no.12
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• pp.1081-1085
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• 2005

This study is carried out for obtaining the basic materials for presentation of creation and desirable management of urban roadside trees through analyse the existence effect of trees on people who operate th commercial areas along the streets. Roadside tree and green areas are recognized comfort space in addition to simple planting area. Therefore various trees and flowering plants should be introduced in addition to roadside facilities for convenience. Planted roadside trees should be maintained. We will propose an method that residents plant and manage the trees and flowering plants on the two lane of one way road. However main lines more than four lane of one way have more public property beside the residents space. Therefore these should be maintained mainly by related government agencies.

• International Journal of Contents
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• v.9 no.4
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• pp.16-21
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• 2013

Vision system is an indispensable part of constructing the chess-playing robot. Chessboard detection and pieces localization in the captured image of robot's camera are important steps for processes followed such as pieces recognition, move calculation, and robot controlling. We present a method for detecting the Janggi chessboard and pieces based on the edge and color feature. Hough transform combined with line extraction is used for segmenting the chessboard and warping it to form the rectangle shape in order to detect and interpolate the lines of chessboard. Then we detect the existence of pieces and their side by applying the saliency map and checking the color distribution at piece locations. While other methods either work only with the empty chessboard or do not care about the piece existence, our method could detect sufficiently side and position of pieces as well as lines of the chessboard even if the occlusion happens.

• Journal of Advanced Navigation Technology
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• v.17 no.6
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• pp.726-735
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• 2013

This paper proposed face recognition methods about performance improvement of the face recognition using the properties of wavelet transform. Using discrete wavelet transform is Daubechies D4 filter that is similar to mother wavelet transform. For discrete wavelet transform method, In this case, by using LL subband only we can reduce processing time and amount of memory in recognition processing. To improve recognition ratio without further loss of 2 dimensional data changing, We applies 2D LDA. We perform SVM training algorithm to the feature vector obtained by 2D LDA. Experiment is performed using ORL database set and Yale database set by Matlab program. Test result shows that proposed method is superior to existence methods in recognition rate and performance time.