• Journal of The Korea Institute of Healthcare Architecture
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• v.27 no.1
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• pp.17-34
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• 2021

Purpose: The purpose of this study was to find out the difference in the priority level of recognition for universal design application in public spaces by gender. Method: ANOVA(analysis of variance) and post-hoc test were conducted to determine the priority level of recognition and pattern for the disabled, non-disabled, and experts classified into males and females. Results: There was no gender difference in the comparison by sector for all males and females. However, in comparing of domains and facilities, women showed a higher level of recognition than men in the building sector and cross domain. When comparing space consumers and producers by dividing them into male and female groups, women showed a higher level of recognition than men in producers, but there was no gender difference between consumers. In comparison by sector, domain and facility, women producers also showed a higher level of recognition in the road sector, park and recreation sector, sidewalk domain, four-spaces in the park and recreation sector, and six-spaces in the building sector than men producers. Also, in the building sector, women producers and consumers showed a higher recognition level than men. Comparing the disabled, non-disabled people and experts by dividing them into male and female groups, in the case of non-disabled people and experts, women showed a higher level of recognition than men, while men showed a higher level of recognition than women in the disabled. In addition, there were differences in recognition patterns in many spaces and facilities by gender. Implications: This study is meaningful in comparing the differences in the priority level of recognition and patterns between men and women to apply universal design for people of all ages and both sexes.

• Health Policy and Management
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• v.10 no.1
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• pp.111-125
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• 2000

To compare the differences in the recognition on hospital utilization and satisfaction, 368 hospital employees and 485 patients were selected in four hospitals in Seoul and Kyung-gi do. The survey was done using a constructed form of checklist from Apr. 30 to May 10, 1999. And the results are as follows: l. Gaining knowledge of hospitals available among hospital employees differed from that of patients. When finding out about sources of information concerning hospitals, direct visit to the hospital was recognized to be the main factor for the hospital employees in contrast to the patients' recognition which were mass media, personal involvement of job related workplace and recommendations from other hospitals. There was no difference between university and general hospitals. 2. The factors that concern which hospital to choose there was a difference between hospital employees and patients. Hospital employees recommended their own hospital solely based on the reason that it was their work place. On the other hand, the patients made a choice based on the type of medical staff, transportation available and whether it was a university hospital or not. There was no difference between university and general hospitals. 3. The recognition of employees concerning hospital image of a hospital between hospital employees and patients was different. In university hospitals, the employees recognized the name value of university hospital and cooperation as most important, whereas the patients thought convenience, kindness were the main factors. Patients considered general hospitals to be more convenient. There was some difference between university and general hospitals. For university hospitals employees' recognition was higher and for the general hospital patients' recognition is higher on hospital image. 4. The recognition of employees was different from that of patients' on hospital satisfaction. The patients' satisfaction was higher than that of employees'. There was no difference between university and general hospitals. Based on the above findings, the employees' recognition on hospital utilization and satisfaction was different from that of the patients, but there was no difference between university and general hospitals. In both groups choice of hospital was associated with satisfaction. Results showing difference between employees' and patients' recognition can be applied to implement customer-oriented attitude and be used as a baseline data for internal-external marketing planning of hospital management. The study may be limited in that the results cannot be generalized due to its small sample size and not being able to reflect demographic variables and life style. Further studies to investigate the difference of hospital utilization and hospital satisfaction will be necessary to define demographic characteristics and recognition of employees which influences patients' hospital satisfaction.

• The Journal of Korean Academy of Sensory Integration
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• v.5 no.1
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• pp.21-30
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• 2007

Objective: This study was to provide a standard for the evaluation of The Korean version of Adolescent/Adult Sensory Profile(K-ASP) for University students and to investigate the difference of the subjective sense recognition regarding the characteristics of sensory processing. Method: The subjects consisted of 84 University students. A researcher examined subjective sense recognition and K-ASP for subjects. Visual Analog Scale used to evaluate subjective sense recognition and K-ASP was utilized to evaluate the characteristics of sensory processing. Results: 1. The average scores and standard deviation of K-ASP were $32.93{\pm}7.88$ for low registration group, $39.39{\pm}6.55$ for sensory seeking group, $38.94{\pm}9.13$ for sensory sensitivity group, and $34.24{\pm}7.85$ for sensory avoiding group. 2. The correlation between the total score on an each quadrant and the subjective sense recognition are -.27 for low registration group, .11 for sensory seeking group, .09 for sensory sensitivity group and .12 for sensory avoiding group. It showed the statistically significant correlation between the total score of low registration and the subjective sense recognition group(p<.05). 3. The average scores and standard deviation of the subjective sense recognition were $5.22{\pm}1.56$ for high threshold and $7.28{\pm}1.70$ for low threshold. The subjective sense recognition according to the characteristics of sensory processing showed the statistically significant difference. Conclusions: This study supports the theory that there is the difference of sensory recognition according to each individual and we found that people with difficulties of sensory processing acknowledge their characteristics of sensory processing well. Evaluation of sensory processing ability through interview or questionnaire supports the fact which it is reliable.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.3_4
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• pp.483-490
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• 2004

By using the formerly established SERVQUAL Model, measurement methods and determinant variables in the other papers for the Service Quality, this study first focuses to find out the difference consumers' evaluation between before-experience and after-experience of the educational service, and second, to examine the difference consumers' evaluation between before-experience and after-experience of the educational service according to pre-recognition degree for the subjected educational service quality. The results are derived as follows. 1. As a consequence of the simulation, the consumers distinctly tend to recognize importance of human concern and visual aspect after experience of educational service. 2. Between the group with more pre-recognition degree and less pre-recognition degree for the subjected educational service quality, have no difference.

• The KIPS Transactions:PartB
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• v.16B no.2
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• pp.93-100
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• 2009

In this paper, we propose a Difference Image Entropy based gaze direction recognition system. The Difference Image Entropy is computed by histogram levels using the acquired difference image of current image and reference images or average images that have peak positions from $-255{\sim}+255$ to prevent information omission. There are two methods about the Difference Image Entropy based gaze direction. 1) The first method is to compute the Difference Image Entropy between an input image and average images of 45 images in each location of gaze, and to recognize the directions of user's gaze. 2) The second method is to compute the Difference Image Entropy between an input image and each 45 reference images, and to recognize the directions of user's gaze. The reference image is created by average image of 45 images in each location of gaze after receiving images of 4 directions. In order to evaluate the performance of the proposed system, we conduct comparison experiment with PCA based gaze direction system. The directions of recognition left-top, right-top, left-bottom, right-bottom, and we make an experiment on that, as changing the part of recognition about 45 reference images or average image. The experimental result shows that the recognition rate of Difference Image Entropy is 97.00% and PCA is 95.50%, so the recognition rate of Difference Image Entropy based system is 1.50% higher than PCA based system.

• Speech Sciences
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• v.15 no.3
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• pp.7-15
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• 2008

This paper proposes the method to extract new feature vectors using the difference between the cepstrum for static characteristics and delta cepstrum for dynamic characteristics in speaker recognition (SR). The difference vector (DV) which it proposes from this paper is containing the static and the dynamic characteristics simultaneously at the intermediate characteristic vector which uses the deference between the static and the dynamic characteristics and as the characteristic vector which is new there is a possibility of doing. Compared to the conventional method, the proposed method can achieve new feature vector without increasing of new parameter, but only need the calculation process for the difference between the cepstrum and delta cepstrum. Experimental results show that the proposed method has a good performance more than 2.03%, on average, compared with conventional method in speaker identification (SI).

• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.586-595
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• 2016

The difference of generation is the main cause of society transition. If we know about the gap of generations, then we know where we go in future. This study focus on the differences of a regulation recognition among the generations. When we understand the differences of regulation recognition among the generations, we can realize the trait of regulation in society. In result, there are a lot of differences of regulation recognition among the generations. The older they are, the more they are positive to regulation. And the younger they are, the more they are negative to regulation. In particular, 50's generation have the opposite regulation recognition to 20's generation in specialty of regulation and in a conglomerate regulation.

• The Journal of the Korea Contents Association
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• v.12 no.1
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• pp.409-415
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• 2012

The purpose of this study is to know the status of management of nosocomial infection and to present basic data for improving management of nosocomial infection. As a result, the average score of the recognition and performance of radiologist on the management of hand washing is 4.378, and 4.199 of 5. The average score of the recognition and performance of radiologist on the management of personal hygiene is 4.284, and 3.990 of 5. The recognition of hand washing management according to the general character, statistically significant difference according to the gender, age, education, career. In the performance is statistically significant difference according to the gender, marriage situation. In the recognition of personal hygiene management according to the general character, statistically significant difference according to the age, education, career. Performance of statistically significant difference according to the marriage situation, career. Finally, statistically significant difference between recognition and performance of radiologists on management of hand washing(r=0.453, p=0.000) and personal hygiene(r=0.415, p=0.000).

• The Transactions of the Korea Information Processing Society
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• v.7 no.3
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• pp.1000-1012
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• 2000

There are many factors for face recognition. Two of those are orientation and brightness of illumination. In early studies of face recognition, with fixing these factors to good conditions th goal of research was focused on improving recognition rate itself. But they are very important factors to be solved for implementing face recognition system. In this paper, two methods wer proposed to minimize the influence of illumination. One is the local difference filter to reduce the influence fo variation of illumination. The other is weight function considering the horizontal difference of intensity. Applying tow proposed methods, the resultant recognition rate revealed 86.5% for 275 test images.

• Journal of Information Processing Systems
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• v.11 no.4
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• pp.643-654
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• 2015

Face recognition under controlled settings, such as limited viewpoint and illumination change, can achieve good performance nowadays. However, real world application for face recognition is still challenging. In this paper, we propose using the combination of Affine Scale Invariant Feature Transform (SIFT) and Probabilistic Similarity for face recognition under a large viewpoint change. Affine SIFT is an extension of SIFT algorithm to detect affine invariant local descriptors. Affine SIFT generates a series of different viewpoints using affine transformation. In this way, it allows for a viewpoint difference between the gallery face and probe face. However, the human face is not planar as it contains significant 3D depth. Affine SIFT does not work well for significant change in pose. To complement this, we combined it with probabilistic similarity, which gets the log likelihood between the probe and gallery face based on sum of squared difference (SSD) distribution in an offline learning process. Our experiment results show that our framework achieves impressive better recognition accuracy than other algorithms compared on the FERET database.