• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.10C
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• pp.942-947
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• 2006

In this paper, a new feature representation technique called Improved 2-directional 2-dimensional direct linear discriminant analysis (Improved $(2D)^2$ DLDA) is proposed. In the case of face recognition, thesmall sample size problem and need for many coefficients are often encountered. In order to solve these problems, the proposed method uses the direct LDA and 2-directional image scatter matrix. Moreover the selection method of feature vector and the method of similarity measure are proposed. The ORL face database is used to evaluate the performance of the proposed method. The experimental results show that the proposed method obtains better recognition rate and requires lesser memory than the direct LDA.

• Korean Journal of Health Education and Promotion
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• v.20 no.3
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• pp.1-18
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• 2003

This study was conducted to evaluate factors related to the recogniton and behavioral intention for smoking cessation programs. Five effective smoking cessation programs were considered： acupuncture, nicotine patch, clinic program, mass education, and alliance programs. To explain the health behavior for smoking and smoking cessation programs, a five-stage behavioral intention model was built, and 500 questionnaires were completed through a telephone survey. Stages of the model included recogniton of the programs, past experiences, present smoking status, intention for smoking, and behavioral intention for smoking cessation programs. The results showed that the recogniton rate of the programs were low in general, therefore strategies of education, public relations, and advertisement need to be pursued. Nicotine dependency resulted in the fact that success rates were low although trial rates of smoking cessation were high among smokers. The necessity for smoking cessation programs was suggested. And the significant factors related to the intention for smoking cessation were individual attitude and reluctancy to pay time and money. Others' attitude was insignificant to subjects' smoking cessation. Purchase rates for nicotine patches were 11.3％ for male and 27.3％ for female, those for acupunture were 7.6％ for male and 10.0％ for female. There were very low purchase rates for clinic, mass education, and alliance programs. In conclusion, evidence-based and effective smoking cessation programs need to be promoted by medical doctors. Strategies in education, public relations, and advertisement also need development. In addition, continuing legal and systematic support for smoking cessation would lower the smoking rate and ultimately contribute to the nation's health.

• Journal of Electrical Engineering and Technology
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• v.10 no.2
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• pp.659-669
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• 2015

Face Recognition assumes much significance in the context of security based application. Normally, high resolution images offer more details about the image and recognizing a face from a reasonably high resolution image would be easier when compared to recognizing images from very low resolution images. This paper addresses the problem of recognizing faces from a very low resolution image whose size is as low as $8{\times}8$. With the use of CCTV(Closed Circuit Television) and with other surveillance camera-based application for security purposes, the need to overcome the shortcomings with very low resolution images has been on the rise. The present day face recognition algorithms could not provide adequate performance when employed to recognize images from VLR images. Existing methods use super-resolution (SR) methods and Relation Based Super Resolution methods to construct from very low resolution images. This paper uses a learning based super resolution method to extract and construct images from very low resolution images. Experimental results show that the proposed SR algorithm based on relationship learning outperforms the existing algorithms in public face databases.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.34C no.7
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• pp.61-69
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• 1997

With the vigorous researches in the character recognition, the need to recognize run-on multilingual handwritten characters is increasing to provide uses with more comfortable PUI(pen user interface) environments. In general, many intermediate word candidates word candidates are generated in run-on multilingual recognition because there is no information of ending position and linguistic kind of character. To remove unnecessary word candidates which are generated in run-on multilingual recognition, we classify them into two groups and select the best candidate among the word candidates in the group where the final characater is completed using 5 attributes. In this research, we propose a method in order to select the best one candidate. It is called WRM (Weighted ranking method). The weights are adaptively trained by LMS(Least mean square) learning rule. Results show that the abilities of decision makin gusing weights are much better than those not using weights.

• Journal of Korean Academy of Nursing Administration
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• v.18 no.4
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• pp.374-382
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• 2012

Purpose: This study was done to investigate the effects of university hospital nurses' organizational conflict between organizational commitment and labor union commitment, so as to provide data on prevention of conflict with the hospital and to improve work achievement with commitment of two different groups: hospital and labor union commitment. Methods: Data collection was conducted from May 15 to 31, 2011 for nurses registered in the labor union of a university hospital. The collected data were analyzed using t-test, ANOVA, Scheffe test and multiple regression. Results: Organizational commitment of the nurses showed significant differences according to age, position and work experience, and degree of labor union commitment according to academic achievement. The factors affecting labor union commitment were organizational conflict and recognition of need for labor union, which accounted for 19% of the variance. Factors affecting organizational commitment were organizational conflict, recognition of need for labor union, participation in organizational events, and renewal of membership in the union, which accounted for 33% of the variance. Conclusion: The results of this study indicate that there is a need to improve work achievement by minimizing conflict and preventing labor disputes for better organizational commitment and labor union commitment of nurses.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.558-561
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• 2009

In this paper, we propose Simple Frame Marker(SFMarker) to support recognition of characters and images included in a marker in augmented reality. If characters are inserted inside of marker and are recognised using Optical Character Recognition(OCR), it doesn't need marker learning process before an execution. It also reduces visual disturbance compared to 2D barcode marker due to familarity of characters. Therefore, proposed SFMarker distinguishes Square SFMarker that embeds images from Rectangle SFMarker with characters according to ratio of marker and applies different recognition algorithms. Also, in order to reduce preprocessing of character recognition, SFMarker inserts direction information in border of marker and extracts it to execute character recognition fast and correctly. Finally, since the character recognition for every frame slows down tracking speed, we increase the speed of recognition process using the result of character recognition in previous frame when frame difference is low.

• Journal of Korean Academy of Nursing
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• v.30 no.2
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• pp.498-513
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• 2000

The purpose of this study is to construct the nursing-policy and nursing-theory of Korean style by understanding the type of recognition and attitude immanent in Korean people through of Korean people to the Shamanism(巫敎). And this paper is using Q methodology by operant definition. Because individual recognition and attitude to Shammanism is very subjective and individualistic and many-sided. Q statements in this paper are ultimately 38 statements divided into 5 regions, which are abstracted from 285 Q samples. 38 persons in all are objects of P-population. The results of analyses on the characters of each type are as follows. The men who belong to type I is positive to the Shamanism in recognition and attitude at the same time. The men who belong to type II are negative the analysis of the recognition and attitude to Shamanism in recognition, but positive to Shamanism in practical attitude. The men who belong to type III are evidently negative to Shamanism in recognition and attitude at the same time. The men who belong to type IV are positive to Shamanism, but negative or reservative to it in attitude. In conclusion, we could affirm that shamanic care-act which modern medicine discard as only superstition is very deeply rooted in the Korean people'need. In short, Korean people is already and always related to Shamnism, whether positively or negatively. I dare to think this paper might contribute the other disciplines of sciences as basic data.

• Proceedings of the KIEE Conference
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• 1992.07a
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• pp.417-421
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• 1992

Ultrasonic and vision data need to be fused for efficient object recognition, especially in mobile robot navigation. In the proposed approach, the whole ultrasonic echo signal is utilized and data fusion is performed based on each sensor's characteristic. It is shown to be effective through the experiment results.

• Journal of Korea Multimedia Society
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• v.11 no.3
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• pp.323-330
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• 2008

In this paper, we propose a new fingerprint sensing method that can reduce orientation error. General fingerprint input methods need finger to be put on the surface of a sensor. It can cause of rotation problem and it affects the recognition result significantly. This improved input method can minimize the rotation of a finger by holding double-sided sensor with both thumb and index finger at the same time. Whenever fingerprint is impressed, it has nearly the same orientation because sensors are located between two fingers. As a result, we can get a better performance in fingerprint recognition system, but it may need more hardware cost.

• International journal of advanced smart convergence
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• v.9 no.3
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• pp.246-252
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• 2020

Facial recognition is a biometric technology that is used in various fields such as user authentication and identification of human characteristics. Face recognition applications are practically used in various fields, but very few applications have been developed to improve the factory work environment. We implemented applications that uses face recognition to identify a specific employee in a factory .work environment and provide customized information for each employee. Factory workers need documents describing the work in order to do their assigned work. Factory managers can use our application to register documents needed for each worker, and workers can view the documents assigned to them. Each worker is identified using face recognition, and by tracking the worker's face during work, it is possible to know that the worker is in the workplace. In addition, as a mobile app for workers is provided, workers can view the contents using a tablet, and we have defined a simple communication protocol to exchange information between our applications. We demonstrated the applications in a factory work environment and found several improvements were required for practical use. We expect these results can be used to improve factory work environments.