• Korean Journal of Psychosomatic Medicine
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• v.15 no.1
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• pp.35-43
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• 2007

Objectives : Recently, many authors investigated the relation of temperament and character to seasonality and the genetic factors in seasonality and personality. In this study, we investigated the relation between personality structure obtained from the psychobiological Temperament and Character Inventory (TCI) and self-reported seasonal variations in mood and behavior measured by the Seasonal Pattern Assessment Questionnaire (SPAQ). Methods : 600 high-school students who live in Seoul of Korea, were participated in this study. Subjects were surveyed with the Korean translation of the SPAQ of Rosenthal, an instrument for investigating mood and behavioral changes with respect to the seasons of the you. Korean version of the TCI of Cloninger was also used for assessment of personality. Results : Female students were significantly higher scores on harm avoidance, reward dependence, and cooperativeness than male students who had significant higher scores on persistence and self·transcendence than the formers. GSS were showed positive correlation with harm avoidance and self-transcendence, and negative correlation with cooperativeness and self-directedness. By employing logistic regressions, the regression coefficients of SAD were significantly negative in SD, and positive in ST. Also, the regression coefficients of S-SAD were significantly negative in CO, and positive in ST. Those with GSS at least 11 were significantly higher mean ST values compared to the remaining individuals, and those with worst in winter were significantly lower mean CO values compared to the remaining individuals. Those who considered the seasonality as a problem at least to a moderate degree were associated with high HA and ST. Conclusion : We add the evidence that the seasonality is related to the temperament and character. Although there have been many reports about the seasonality in relation to the temperament and character in foreign countries, there has been very limited report from Korea before. We hope that this result would be a helpful in the clinical field in Korea.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.30B no.9
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• pp.94-105
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• 1993

In this paper propose a Koaren character recognition system using a neural network is proposed. This system is a multilayer neural network based on the masking field model which consists of a input layer, four feature extraction layers which extracts type, direction, stroke, and connection features, and an output layer which gives us recognized character codes. First, 4x4 subpatterns of an NxN character pattern stored in the input buffer are applied into the feature extraction layers sequentially. Then, each of feature extraction layers extracts sequentially features such as type, direction, stroke, and connection, respectively. Type features for direction and connection are extracted by the type feature extraction layer, direction features for stroke by the direction feature extraction layer and stroke and connection features for stroke by the direction feature extraction layer and stroke and connection features for the recongnition of character by the stroke and the connection feature extractions layers, respectively. The stroke and connection features are saved in the sequential buffer layer sequentially and using these features the characters are recognized in the output layer. The recognition results of this system by tests with 8 single consonants and 6 single vowels are promising.

• Korean Journal of Cognitive Science
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• v.20 no.4
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• pp.573-601
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• 2009

The present study investigated the perceptual span during reading Korean, using the moving-window display change technique introduced by McConkie and Rayner(1975). Eight different window sizes were used in Experiment 1. They were 3, 5, 7, 9, 11, 13, 15 characters in size and the full line. Reading rate, number of fixation, saccadic distance, fixation duration were compared between each window-size condition and the full line condition. The reading rate was no higher in the full line condition than in the 15 character condition but was higher than in the other conditions. The number of fixations was no larger in the full line condition than in the 15 character condition, had a tendency to be larger than in the 13 characters condition, and was more than in the other conditions. The result pattern of the saccadic distance based on character was the same as that of the reading rate, and the saccadic distance based on the pixel was the same as that of the number of fixation. Similarly, for fixation duration, there was no differences between whole line condition and 15, 13, and 11 characters condition. The fixation duration had a tendency to be shorter in the 9 characters, and was shorter in the 7, 5, and 3 characters conditions than whole line condition. In Experiment 2, based on asymmetry of perceptual span, the 6 different window sizes(0, 1, 2, 3, 4 characters in size and the full line) were used. There was a difference only between the 0 condition and the other conditions in the reading rate, number of fixations, fixation duration. Considering the pattern of eye-movement measures above, the perceptual span of Korean readers extends about 6-7 characters to the right of fixation and 1 character to the left of fixation.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.29B no.2
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• pp.1-8
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• 1992

This paper is proposed a Modified WLD (Weighted Levenshtein Distance) algorithm for processor desihn of code-string matching. A proposed MWLD (Modified Weighted Levenshtein Distance) algorithm is consist of 1-dimension bit-serial array processor to pattern matching using a Hamming Distance. The proposed processor is applied to recognition of character with real time input. The recognition rate of Hangul strokes is resulted to 98.65$\%$

• Journal of Industrial Technology
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• v.17
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• pp.331-338
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• 1997

In this paper, we propose a new neural pattern recognition from wavelet transform. We first analysis in BFT(Binary Field Transform) in character image. The proposed neural network and wavelet transform is able to improve learning time and scaling. The ability and effectiveness of identifying image using the proposed wavelet transform will be demonstrated by computer simulation.

• Journal of the Korean Institute of Landscape Architecture
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• v.20 no.1
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• pp.13-17
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• 1992

This study aims to explain the image of historic objects in matters of the artistic impulse. Two Pagodas in the Temple Bulguksa, those have a concrete character of the "matter & form" in the structure and buddhistic background, are chosen for this study. With analysis and synthesis of the form and structure, those must be handled by overlaping, lifting and comparing in plan, elevation and mass, the structural pattern of them can be theoretically explained and aesthetically interpreted. Conclusively, this study would be expected to make some references to the historic scene of the Temple Bulguksa.

• Tunnel and Underground Space
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• v.6 no.4
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• pp.316-325
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• 1996

A new accelerated neural network adopting modified sigmoid function was developed and applied to estimate engineering properties of rock from insufficient geological data. Developed network was tested on the well-known XOR and character recognition problems to verify the validity of the algorithms. Both learning speed and recognition rate were improved. Test learn on the Lee and Sterling's problems showed that learning time was reduced from tens of hours to a few minutes, while the output pattern was almost the same as other studies. Application to the various case studies showed exact coincidence with original data or measured results.

• Journal of the Korean Institute of Telematics and Electronics
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• v.26 no.11
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• pp.1782-1793
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• 1989

Stroke crossing number, syntactic pattern recognition procedure, top down recognition structure, and heuristic approach are studied for the Korean text recognition. We propose new algorithms: 1)Korean vowel seperation using limited scanning method in the Korean characters, 2) extracting strokes using stroke width method, 3) stroke crossing number and its properties, 4) average, standard deviation, and mode of stroke crossing number, and 5) classification and recognition methods of limited chinese character. These are studied with computer simuladtions and experiments.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.46.3-46
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• 2001

The overall aim of this research is to develop a computer communication interface based on brain-wave bio potentials for physically disabled people. The work focuses on using EOG and EMG signals to input characters one by one using cursor movements on a GUI screen. The Cyberlink TM system is used to acquire brain waves in real time with electrodes. EMG and EOG signals are used to direct a cursor in order to select, or to click on a character on the screen. We present a novel method for automatic EOG pattern detection by using wavelet transforms with a neuro-fuzzy approach ...

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.42.4-42
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• 2002

With the research of simplified neural networks, we propose an AND/OR neural network; a kind of brief, fast network Then, we present an OCR solution that equip the network in one-chip FPGA and design it by using HDL. We selected the representative hexadecimal character as the recognition feature class and used a Feature Vector Recognition Method in the statistic pattern recognition. The result feature vector was encoded into a 7 bit array and inputted into the AND/OR network to finish learning.