• Child Health Nursing Research
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• v.23 no.4
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• pp.494-504
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• 2017

Purpose: The aim of this study was to analyze Neonatal Intensive Care Unit nurses' behaviors while soothing newborns with bronchopulmonary dysplasia. Methods: An observational study was used to assess nurses' soothing behaviors. Data were collected from September, 2012 to March, 2013 using an audio-video recording system. Participants were eight babies and 12 nurses caring for those babies. After obtaining parental permission, the overall process of each episode from nurses' engagement in soothing to the end of soothing was recorded. Then a researcher interviewed each participating nurse. Data from 18 episodes were transcribed as verbal and nonverbal nursing behaviors and then categorized by two researchers. Results: There were 177 observed soothing behaviors which were classified with the five sensory-based categories (tactile, oral, visual, auditory, vestibular). Most frequently observed soothing behavior was 'Gently talking' followed by 'Removing irritant', and 'Providing non-nutritive sucking'. Nurses' perceived soothing behaviors were similar to the observed soothing behaviors except for 'Gently talking'. Conclusion: Nurses used diverse and mixed soothing behaviors as well as recognizing those behaviors as essential nursing skills. Nurses' soothing behaviors identified in this study can be used to comfort babies and to enhance their developmental potential in accordance with individual characterstics or cues.

• Journal of Korean Academy of Nursing
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• v.37 no.7
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• pp.1149-1158
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• 2007

Purpose: The purpose of this study was to identify the risk factors for a nosocomial urinary tract infection in intensive care units with a foley catheterization which showed a positive urine culture. Method: Three-hundred eighty-seven patients were included in the study. A retrospective review of the electrical medical record system's databases and medical record sheets in hospitalized patients from January 2003 to December 2003 was used. The collected data was analyzed by descriptive statistics, t-test, chi-square test and logistic regression analysis. Result: The frequency of the participants' nosocomial urinary tract infection was 72.9%. Significant risk factors for a nosocomial urinary tract infection were 'age', 'place of catheter insertion', 'frequency of catheter change', and 'duration of catheterization'. These variables explained 18.4% of variance in the experience of nosocomial urinary tract infection in intensive care units with foley catheterization. Conclusion: Medical personnel can decrease the incidence of a nosocomial urinary tract infection by recognizing and paying attention to the duration of catheterization, frequency of catheter change, and place of catheter insertion. As a result, specific and scrupulous strategies should be developed to reflect these factors for decreasing nosocomial urinary tract infections.

• Journal of Korea Society of Industrial Information Systems
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• v.4 no.2
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• pp.102-108
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• 1999

It is important to decide processing unit in the large vocabulary speech recognition system we propose a Pseudo-Morpheme as the recognition unit to resolve the problems in the recognition systems using the phrase or the general morpheme. We implement a morphological analysis system and tagger for Pseudo-Morpheme. The speech processing system using this pseudo-morpheme can get better result than other systems using the phrase or the general morpheme. So, the quality of the whole spoken language translation system can be improved. The analysis-ratio of our implemented system is similar to the common morphological analysis systems.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.52 no.1
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• pp.35-41
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• 2003

In this paper, a machine vision system for recognizing and classifying the patterns and marks engraved by die molding or laser marking on the glass panels of computer monitors is suggested and evaluated experimentally. The vision system is equipped with a neural network and an NGC pattern classifier including searching process based on normalized grayscale correlation and adaptive binarization. This system is found to be applicable even to the cases in which the segmentation of the pattern area from the background using ordinary blob coloring technique is quite difficult. The inspection process is accomplished by the use of the NGC hypothesis and ANN verification. The proposed pattern recognition system is composed of three parts: NGC matching process and the preprocessing unit for acquiring the best quality of binary image data, a neural network-based recognition algorithm, and the learning algorithm for the neural network. Another contribution of this paper is the method of generating the training patterns from only a few typical product samples in place of real images of all types of good products.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.8B
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• pp.719-726
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• 2008

In this thesis investigate the security gateway that manage authorization for user access dynamically by recognizing automatically and comparison & distinction between database and User-information while a terminal unit(PC) trying to access to the network of subnet. Also, it present User-interfaced authorization allowance role model, so administrator can assign united access control between network level(L2) and application level(L7) in relation to system construction.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.34C no.9
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• pp.77-83
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• 1997

Based on the curve segment grouping, an efficient recognition of round objects form partially occuluded round boundaries is proposed. Curve segments are extracted from an image using a criterion based on the intra-segment curvature and local contrast. During the curve segment extraction the boundaries of pratially occluding and occuluded objects are segmented to different curve segments. The extracted segments of constant intra-segment curvature are grouped to different curve segments. The extracted segments of constant intra-segment curvature are grouped nto a round boundary by the proposed grouping algorithm using inter-segment curvature which gives the relatinships among the curve segments of the same round boundary. The 1st and the 2nd order moments are used for the parameter estimation of the best fitted ellipse with round boundary, and then recognition is perfomed based on the estimated parameters. The proposed scheme processes in segment unit and is more efficient in computational complexity and memory requirements those that of the conventional scheme which processed in pixel units. Experimental results show that the proposed technique is very efficient in recognizing the round object sfrom the real images with apples and pumpkins.

• Journal of Institute of Control, Robotics and Systems
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• v.18 no.1
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• pp.13-20
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• 2012

This paper proposes a marine engine state monitoring system using a DPQ (Distributed Precedence Queue) mechanism which collects the state of bearings, temperature and pressure of engine through the CAN network. The CAN is developed by Bosch Corp. in the early 1980' for automobile network. The data from various sensors attached in the marine engine are converted to digital by the analog to digital converter and formatted to fit the CAN protocol at the CAN module. All the CAN modules are connected to the SPU (Signal Processing Unit) module for the efficient communication and processing. This design reduces the cost for wiring and improves the data transmission reliability by recognizing the sensor errors and data transmission errors. The DPQ mechanism is newly developed for the performance improvement of the marine engine system, which is demonstrated through the experiments.

• Proceedings of the KSPS conference
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• 2000.07a
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• pp.283-300
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• 2000

This paper is intended to suggest how to improve Korean high school students' awareness of the pronunciation in order to foster communicative effectiveness. Initially it is focused on the tasks of listening to the suprasegmental aspects. The strategies used in the listening process are (1)discerning intonation units, (2)recognizing rhythm pattern, and (3)identifying contraction and linking in connected speech. The tasks including in each process are listening discrimination, guided practice activity, and listening and speaking activity. The teacher should avoid methods which yield discouraging outcomes and try to help students enjoy experience of success in doing exercises and activities. So I suggested: students put the slash on the pause perceptible to chunk the stream of speech into the intonation units, and mark the content words to internalize English rhythm. And then I suggested that students listen to pop song English in order to improve the awareness of function words and connected speech in the intonation unit.

• IEIE Transactions on Smart Processing and Computing
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• v.4 no.4
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• pp.265-271
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• 2015

This study proposes an algorithm for recognizing apple trees in images and detecting apples to measure the number of apples on the trees. The proposed algorithm explores whether there are apple trees or not based on the number of image block-unit edges, and then it detects apple areas. In order to extract colors appropriate for apple areas, the CIE $L^*a^*b^*$ color space is used. In order to extract apple characteristics strong against illumination changes, modified census transform (MCT) is used. Then, using the AdaBoost learning algorithm, characteristics data on the apples are learned and generated. With the generated data, the detection of apple areas is made. The proposed algorithm has a higher detection rate than existing pixel-based image processing algorithms and minimizes false detection.

• Journal of the Korean Society of Safety
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• v.11 no.3
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• pp.104-111
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• 1996

A system was developed that could predict hazardous states for safe operation of chemical plants. This system aimed to prevent hazards of chemical processes from misoperation before real operation. In this study, a data base was organized which consisted of all hazards in the chemical processes. The structure of process was represented by signed direct graph(SDG) of NODEs and ARCs. Each NODE and ARC have property variables ; connected structure and state of processes etc. The hazards that could be occurred in processes were divided into two classes ; one is by operation of unit and the other is by hazardous materials. Using Hazardous States Transition Network, we could recognize transition progress of process states.