• The Korean Journal of Ecology
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• v.13 no.4
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• pp.321-329
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• 1990

An investigation was performed to elucidate wave character of the timber line on the middle slope of the west side of Paektusan. The Betula ermanii forest, which composes the timber line on about 2, 060m elevation of sea level, is the pure community of B. ermanii. Diffraction pattern of wave distribution of B. eramnii due to boundary condition of alpine temperature gradient was found out on the timber line. Interference patterns of waves of B. ermanii communities produced by environment conditions such as soil layers, whids, snow and relief were shown on a specific area. These facts indicate that the B. ermanii individuals have wave and particle duality, the complementarity principle.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.33B no.2
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• pp.168-177
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• 1996

In this paper, we propose an on-line recognition system of chinese characters using an adaptive resonance theory-1(ART-1) neural network. Strokes, primitive components of chinese characters are usually warped into a cursive form and classifying them is very difficult. To deal with such cursive strokes, we use an ART-1 neural network that has the following advantages: (1) it automatically assembles similar patterns together to form classes in a self-organized manner: (2) it directly accesses the recognition codes corresponding to binary input patterns after self-stabilizing; (3) it doesn't tends to get trapped in local minima, or globally incorrect solutions. A database for character recognition also dynamically constructed with generalized character lists, and a new character can be included simply by adding a new sequence to the list. Character recognition is achieved by traversing the chinese datbase with a sequence of recognized strokes and positional relations between the strokes. To verify the performance of the system. We tested it for 1800 daily-used basic chinese second per character. This results suggest that the proposed system is pertinent to be put into practical use.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.449-454
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• 2016

Characters have been frequently used as a symbol or an icon in above the line advertising for generations. It has become an essential factor for companies to research about the experience that consumers have by engaging with the products that are partnered with famous or brand characters before introducing a product to the market. The character trademark has become more popular and interesting than the product itself. Therefore, products have become dependent on its character trademark. The ultimate purpose of this research is to find effective ways of increasing the value of the brand by observing various characters and how people interact with these characters, depending on the consumer's age, gender, and so forth. One would be able to collect data or information from documents as a method of this research and grasp different contents, components, concepts, and contexts of character collaboration and affiliate characters from well-known messengers, such as Kakaotalk and Line. In addition, by re-analyzing Peter Morville's Honeycomb tool, its method would set the scale of the user experience and one would be able to conduct interviews with those who are using collaboration products. This study reveals extensive guidelines for character partnership or collaboration that have been successful and creating effective marketing skills.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.7
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• pp.1017-1023
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• 2013

Datacommunications transmit the source codes that are coded in information devices, such as computer to the transmission line by means of the line coded signal. AMI method is applied to the line coding method to transmit the signal for long distance. The disadvantage of the AMI method is to loss the bit synchronization when consecutive binary bit '0' over 4ea is coming into line coder. The scrambling technique is used to overcome the problem. The HDB-3 scrambling method is used in Korea standard which standard in ITU-T. When the HDB-3 technology is used. the method should convert the consecutive bit '0' over 4ea to certain bits format. As a result, when there are many such kind of '0' bit stream in source codes, data transmission efficiency will be decreased to treat in line coder, etc. This paper is directed to study the Roman character code system in $KS{\times}1001$, Korea standard for information exchange code in datacommunication systems. Based on the study result, this paper proposed the maximum optimized Roman character code system. In the study, Character coding rule for $4{\times}4$bits and the statistical data for roman character using frequency were considered to simulate. The paper shows the result that when the proposed new roman character coding system is applied to use, the data transmission efficiency could be increased to about 134% compared to existing code system.

• Proceedings of the IEEK Conference
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• 2000.06c
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• pp.19-22
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• 2000

This paper presents new on-line handwritten algorithm for continuous alphabet uppercase characters. The algorithm is based on the idea that alphabet uppercase character consists of at most 4 strokes. It tries to determine the maximum output for a recognition result among outputs of four recognizers which have the capacity to discriminate the character using from 1 through 4 stroke information. The recognition module has 4 neural network based recognizers, which can recognize from 1 through 4 stroke character. We also use specialized post-processing techniques for improving the recognition performance. Trained on 440 input data and choosing 390 uppercase words for a recognition test we reached a 92% recognition rate.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.4
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• pp.149-157
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• 2019

In case of reading passport using a smart phone in contrast with a dedicated passport reading system, MRZ(Machine Readable Zone) character recognition can be hard when the character strokes were broken, touched or blurred according to the lighting condition, and the position and size of MRZ character lines were varied due to the camera distance and angle. In this paper, the effective recognition algorithm of the passport MRZ information using a combined neural network recognizer of CNN(Convolutional Neural Network) and ANN( Artificial Neural Network), is proposed under the various sized and skewed passport images. The MRZ line detection using connected component analysis algorithm and the skew correction using perspective transform algorithm are also designed in order to achieve effective character segmentation results. Each of the MRZ field recognition results is verified by using five check digits for deciding whether retrying the recognition process of passport MRZ information or not. After we implement the proposed recognition algorithm of passport MRZ information, the excellent recognition performance of the passport MRZ information was obtained in the experimental results for PC off-line mode and smart phone on-line mode.

• International Journal of Internet, Broadcasting and Communication
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• v.9 no.1
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• pp.51-55
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• 2017

LINE, an instant message App with a powerful capability of transmitting various forms of data, has been overwhelmed in Asia since launched in 2011. Due to its popularity, LINE was first used in the 2016 Taiwanese presidential election. This research utilized a functional approach of campaign communication discourse and political visual images to analyze how candidates managed and presented themselves by textual and visual information on LINE. Regarding the textual information, results revealed their strategy inclined to reverse gender stereotype because the female candidate emphasized policy over character, while the male emphasized character over policy. Both candidates did not fully employ ten image functions because they utilized mostly the emotional and image building functions. The female candidate message achieved the largest total amount of 'like' and 'share'. This study probes into the App campaigning and improve the feasibility and practicability to share knowledge of political communication by new media.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.9
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• pp.1358-1367
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• 1993

In this paper, OMR system based on image processing is developed which improve the performance of conventional OMR system based on line-scan method. Based on this OMR system, real-time OCR system which recognizes alphanumerics is also developed. We propose the OMCR system which recognize the mark and numerals at the same time. Besides, we improve the input system using constrained 7-segment type handwritten numeral instead of mark to solve the problem caused by miswriting the mark. In summary, we verified the reai-time recognition performance of developed OMCR system using application form for admission, answer sheet for college entrance examination and receipt sheet.

• Journal of Digital Contents Society
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• v.7 no.4
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• pp.271-277
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• 2006

Recently, the mobile game market is growing due to the extension of mobile devices and internet. The mobile games are became a popular culture in society. But the existing mobile games have two simple forms. There are tow models in the mobile games. The first is as follows. The user downloads a game one time and play the game at off-line field. The second is as follows. The user play a battle game at on-line field. In the paper, we propose a new on-line "tug of war" game model which the user can play two kinds of game. They are the on-line battle mode game and the character raising mode game. Thus, this game model is different to existing mobile games and innovative model in mobile game market. This paper proposes a new research field in mobile game market with the characteristic that the user tan play two modes. One mode is the on-line tug of war battle mode and the other is the character raising mode.

• Journal of the Korean Institute of Telematics and Electronics
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• v.27 no.11
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• pp.103-110
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• 1990

This paper studies on an on-line recognition of handwritten Hangeul characters using the fuzzy inference. To solve the ambiguity due to the variations of writing style by writes, these handwri-tten characters are recognized by means of the fuzzy inference on the production rule which is generated with every relative position information between strokes. In order to reduce the processing time, a subgroup which is previously classified with the number of strokes of reference characters is selected according to the number of strokes of input character, and the tolerance limit of distances between input character and reference characters of a subgroup is introduced to reduce the reference characters which is applied to the fuzzy inference. Experimental results for handwritten Hanguel charters 3990 by 10 writers show the recognition rate of $99.5{\%}$and the average processing time of 0.4sec/character.