• Journal of Digital Contents Society
• /
• v.7 no.4
• /
• pp.257-261
• /
• 2006

In this paper, learning oriented puzzle game which based on combination of consonant and vowel of Korean alphabet is implemented. Firstly, consonants and vowels of Korean alphabet are classified separately, and then reconstructed a word in real time. Word combinator is utilized by API based edit window and, in order to effective retrieve, initial combined syllable consonant based method is involved. Implemented Korean puzzle game can be used for improving the words learning capability for children.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2009.01a
• /
• pp.547-550
• /
• 2009

The object recognition mechanism of human being is not well understood yet. On research of animal experiment using an ape, however, neurons that respond to simple shape (e.g. circle, triangle, square and so on) were found. And Hypothesis has been set up as human being may recognize object as combination of such simple shapes. That mechanism is called Figure Alphabet Hypothesis, and those simple shapes are called Figure Alphabet. As one way to research object recognition algorithm, we focused attention to this Figure Alphabet Hypothesis. Getting idea from it, we proposed the feature extraction algorithm for object recognition. In this paper, we described recognition of binarized images of multifont alphabet characters by the recognition model which combined three-layered neural network in the feature extraction algorithm. First of all, we calculated the difference between the learning image data set and the template by the feature extraction algorithm. The computed finite difference is a feature quantity of the feature extraction algorithm. We had it input the feature quantity to the neural network model and learn by backpropagation (BP method). We had the recognition model recognize the unknown image data set and found the correct answer rate. To estimate the performance of the contriving recognition model, we had the unknown image data set recognized by a conventional neural network. As a result, the contriving recognition model showed a higher correct answer rate than a conventional neural network model. Therefore the validity of the contriving recognition model could be proved. We'll plan the research a recognition of natural image by the contriving recognition model in the future.

• Annual Conference on Human and Language Technology
• /
• 1998.10c
• /
• pp.341-344
• /
• 1998

컴퓨터 상에서 모든 한글 음절을 구현하고자 하면 현대한글 11,172음절의 완성형 코드나 조합형 코드를 사용해야 하는데 조합형의 경우 글자의 미려도가 떨어지는 문제성이 발생되므로 자소 벌수를 늘려 그 문제점을 보완하려는 연구가 진행되어 왔다. 이는 메모리 및 코드처리상 비효율적인 요소가 많으므로 본 논문에서는 자소는 초 중 종성 각각 6벌씩만 제작한 후 자소의 어울림에 따라 자소의 이동과 변형으로 그 미려도를 추구할 수 있는 방안을 제시하고자 한다.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.37 no.4
• /
• pp.482-490
• /
• 2013

This study suggests a suitable logo design application of a three colors LED light source and flexible plastic optical fiber (POF). In this study, characteristic relevant brightness of (according to the embodiment conditions of the flexible POF for logo design) for smart clothing were analyzed through two experiments. The suitable conditions of the logo design for three colors of light source were observed in 'Experiment 1'. The angle of $80^{\circ}$ to $100^{\circ}$ and the length of 8cm to 16cm appeared a more suitable condition for green-colored and red-colored light sources. The angle of $80^{\circ}$ to $100^{\circ}$ at a length of 8cm to 12cm appeared a more suitable condition for a blue-colored light source. In 'Experiment 2', a 'Klavika' in small letter was selected as suitable logo design for the application POF. The alphabet was separated by a morpheme, which is the minimal linguistic unit. All alphabets were classified into sixteen morphemes. The luminance of fourteen morphemes (realized by the embroidery method) were measured and analyzed. Subsequently, eight morphemes appeared to show a relatively equal luminance of $3-4cd/m^2$ in a green-colored light source, $2-3cd/m^2$ in red-colored light source, and $2cd/m^2$ in a blue-colored light source. Four of the fourteen morphemes, showed a 20% brighter level of luminance compared to the eight morphemes above, the cast of combination of green or red light source. This result indicates that a flexible POF with 20% less luminance are believed more suitable for four morphemes combined with a green or red light source. The results of this study provide fundamental data for further approaches to clothing logo design for the application of a flexible POF.