• International Journal of Contents
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• v.10 no.4
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• pp.63-68
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• 2014

In this paper, we propose a smart system that can optically recognize a music score within a document and can play the music after recognition. Many historic handwritten documents have now been digitalized. Converting images of a music score within documents into digital files is particularly difficult and requires considerable resources because a music score consists of a 2D structure with both staff lines and symbols. The proposed system takes an input image using a mobile device equipped with a camera module, and the image is optimized via preprocessing. Binarization, music sheet correction, staff line recognition, vertical line detection, note recognition, and symbol recognition processing are then applied, and a music file is generated in an XML format. The Music XML file is recorded as digital information, and based on that file, we can modify the result, logically correct errors, and finally generate a MIDI file. Our system reduces misrecognition, and a wider range of music score can be recognized because we have implemented distortion correction and vertical line detection. We show that the proposed method is practical, and that is has potential for wide application through an experiment with a variety of music scores.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38A no.2
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• pp.174-182
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• 2013

Most methods for fusion-based finger vein recognition were to fuse different features or matching scores from more than one trait to improve performance. To overcome the shortcomings of "the curse of dimensionality" and additional running time in feature extraction, in this paper, we propose a finger vein recognition technology based on matching score-level fusion of a single trait. To enhance the quality of finger vein image, the contrast-limited adaptive histogram equalization (CLAHE) method is utilized and it improves the local contrast of normalized image after ROI detection. Gabor features are then extracted from eight channels based on a bank of Gabor filters. Instead of using the features for the recognition directly, we analyze the contributions of Gabor feature from each channel and apply a weighted matching score-level fusion rule to get the final matching score, which will be used for the last recognition. Experimental results demonstrate the CLAHE method is effective to enhance the finger vein image quality and the proposed matching score-level fusion shows better recognition performance.

• Women's Health Nursing
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• v.11 no.3
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• pp.232-240
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• 2005

Purpose: This study was designed to identify recognition and the performance level for nosocomial infections amongst student nurses and to provide data for preparing on efficient policy and control program for nosocomial infections. Method: 191 senior nursing student participated in this research from 5 nursing college which allowed data collection, in the city of Seoul. The questionnaire was composed of 73 items(likert scale) about eight areas; aseptic technique, disinfection, precaution, hand washing, urinary tract infection, respiratory infection, catheter related infection, and self care about nosocomial infections. Results: The mean score of recognition and performance level for management of nosocomial infection were 4.29 and 3.41 respectively. The mean score of the recognition level was significantly lower than the performance level in the eight areas. The mean score of both recognition and performance were highest in the area of disinfection. However, the mean score of recognition was lowest in the area of aseptic technique and the mean score of performance was lowest in the area of catheter related infections. The correlation of recognition and performance level was statistically significant. Conclusions: These research findings should be useful in promoting an intensive and continuous educational program on nosocomial infection for nursing students and to establish an efficient policy for preventing nosocomial infections.

• The Journal of the Acoustical Society of Korea
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• v.20 no.6
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• pp.46-50
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• 2001

This paper proposes a new recognition time reduction algorithm Score-Cache technique, which is applicable to the HMM-base speech recognition system. Score-Cache is a very unique technique that has no other performance degradation and still reduces a lot of search time. Other search reduction techniques have trade-offs with the recognition rate. This technique can be applied to the continuous speech recognition system as well as the isolated word speech recognition system. W9 can get high degree of recognition time reduction by only replacing the score calculating function, not changing my architecture of the system. This technique also can be used with other recognition time reduction algorithms which give more time reduction. We could get 54% of time reduction at best.

• Korean Journal of Occupational Health Nursing
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• v.10 no.1
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• pp.5-23
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• 2001

The purpose of this study was to analyse the level of recognition and performance of clinical nurses about the prevention of nosocomial infection. Subjects of the study were 425 nurses working at two university hospitals. Self report questionnaires were used to measure the level of recognition and performance about the prevention of nosocomial infection. These instruments had five dimensions of the management of nosocomial infection : hand washing, fluid therapy, foley catheterization, respiratory tract, and aseptic articles. Reliability coefficients of these instruments were found Cronbach's ${\alpha}=.94-.95$. Data were collected from August 1 to August 15, 2000. The results of the study were as follows : 1) The mean score of the recognition scores about the management of nosocomial infection was 3.89. 2) The mean score of the performance about the management of nosocomial infection was 3.42. 3) The mean score of the recognition about the management of nosocomial infection was significantly higher than the performance score(t=25.72. p<.001). 4) There was significant difference in the score of the recognition about managment in nosocomial infection according to nurses working unit(p<.001).

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.12
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• pp.5464-5484
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• 2016

Few samples face recognition has become a highly challenging task due to the limitation of available labeled samples. As two popular paradigms in face image representation, sparse component analysis is highly robust while parts-based paradigm is particularly flexible. In this paper, we propose a probabilistic generative model to incorporate the strengths of the two paradigms for face representation. This model finds a common spatial partition for given images and simultaneously learns a sparse component analysis model for each part of the partition. The two procedures are built into a probabilistic generative model. Then we derive the score function (i.e. feature mapping) from the generative score space. A similarity measure is defined over the derived score function for few samples face recognition. This model is driven by data and specifically good at representing face images. The derived generative score function and similarity measure encode information hidden in the data distribution. To validate the effectiveness of the proposed method, we perform few samples face recognition on two face datasets. The results show its advantages.

• Journal of the Korean Institute of Telematics and Electronics
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• v.22 no.5
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• pp.10-16
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• 1985

In this paper, a computer vision system, which catches printed music score image using CCTV camera and microcomputer, and then recognizes the image and performs tar music with speaker, is discussed. Integral projection method is adopted for feature detection and recognition of the music score image. The range of recognition is con(ined to staffs, perpen-dicular lines and musical notes including chord notes among the various kinds of elements of music score. The practical recognition algorithm considering noises, the preprocessing processes getting rid of noises are also showed, and simple hardware system playing chord is made, In the results, good recognition ratio and performance are obtained.

• Journal of Broadcast Engineering
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• v.26 no.7
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• pp.838-843
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• 2021

This paper presents an algorithm for effective retrieval of score information to an input score image. The originality of the proposed algorithm is that it is designed to be robust to recognition errors by an OMR (Optical Music Recognition), while existing methods such as pitch histogram requires error induced OMR result be corrected before retrieval process. This approach helps people to retrieve score without training on music score for error correction. OMR takes a score image as input, recognizes musical symbols, and produces structural symbolic notation of the score as output, for example, in MusicXML format. Among the musical symbols on a score, it is observed that filled noteheads are rarely detected with errors with its simple black filled round shape for OMR processing. Barlines that separate measures also strong to OMR errors with its long uniform length vertical line characteristic. The proposed algorithm consists of a descriptor for a score and a similarity measure between a query score and a reference score. The descriptor is based on note-count, the number of filled noteheads in a measure. Each part of a score is represented by a sequence of note-count numbers. The descriptor is an n-gram sequence of the note-count sequence. Simulation results show that the proposed algorithm works successfully to a certain degree in score image-based retrieval for an erroneous OMR output.

• The Journal of Korean Academic Society of Nursing Education
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• v.13 no.2
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• pp.220-228
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• 2007

Purpose: The purpose of this study was to investigate recognition and attitudes about social service activity(SSA) of nurses. Method: This was a descriptive study. The data was collected from July 15 to 31, 2002 by using a self-report questionnaire consisting of general characteristics(15items), recognition(24items) and attitude(23items) about SSA. The questionnaire was sent to 711 nurses of 38 hospitals in the Gyounggi province area, and 664 questionnaires were returned. The answer rate was 93.4%. The data was analyzed by the SPSS 12.0 Win program. Result: Seventy-one percent of nurses had a SSA experience during university, but only 14.2% nurses participate in SSA now. The mean score of recognition of SSA was 3.58($\pm$0.45), and that of attitude was 3.70($\pm$0.42). The relationship between recognition and attitude had a positive correlation(r=.398, p=.000), the higher the score of recognition, the higher the score of attitude. Conclusion: From these results, to improve nurses' participation in SSA, research to investigate the barrier factors of SSA participation in spite of the high level of recognition and attitude is needed. Programs for nurses to participate in SSA and systemic management should be set up.

• The Korean Journal of Food And Nutrition
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• v.26 no.2
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• pp.216-225
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• 2013

This study investigated the interrelations among acculturative stress, recognition, preference and eating frequency of Korean traditional food by Chinese students in Korea. The acculturative stress score was $3.06{\pm}0.32$, 'homesickness' score was the highest ($3.92{\pm}0.62$) and 'guiltscore' score was the lowest ($2.28{\pm}1.04$). The rate of preferred for Korean food was low (20.5%). The places for eating Korean food were 'restaurant' (49.6%) and 'school cafeteria' (41.1%). The cooking experience regarding Korean food was 45.0% and they had cooked 'Bulgogi' (26.7%) and 'Bibimbap' (21.9%). The recognition score for Korean traditional food was $0.70{\pm}0.27$. The preference score for Korean traditional food was $3.14{\pm}0.54$, and the favorite foods were 'Galbi' and 'Galbitang' while 'Ggakdugi' was the lowest. The eating frequency for Korean traditional food was $2.15{\pm}0.82$, and 'Baechukimchi' and 'Bibimbap' were comparatively high. The acculturative stress showed no correlation with the recognition, preference and eating frequency of Korean traditional food. The recognition of Korean traditional food correlated positively with the eating frequency (r=0.175, p<0.05). The preference of Korean traditional food had a significant effect on eating frequency (r=0.274, p<0.001), and the highest positive correlation was shown in 'Ddeokbokki' (r=0.470). The explanation power ($R^2$) of recognition and preference on eating frequency was 0.098. This study showed the interrelations among recognition, preference, and eating frequency of Korean traditional food except for acculturative stress.