• Korea Journal of Hospital Management
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• v.4 no.2
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• pp.131-161
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• 1999

This study is to analyze the reason of Breakdown of collective bargaining caused by the difference of main issue about bargaining and other factors influencing collective bargaining from the viewpoint of both labor and capital in Korean medical system. Korean medical system is facing the huge change of medical policy, so it should pursue institutional change following the change of medical system, On the contrary, the activity of labor union in medical system is more organized, activated, so understanding and cooperating on the related policy between labor and management are necessary. As the method of administration participation is collective bargaining, main issues between labor and management may lead Brwakdown of bargaining, so the author will analyze it from three viewpoints. First, the difference of recognition between labor and management due to the characteristics of hospital Secondly, the difference of recognition between labor unions due to the characteristics of hospital Thirdly, the difference of recognition between the characteristics of hospital and labor union.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.12
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• pp.6000-6017
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• 2018

This paper presents a new descriptor, named Histograms of Prominent Edge Directions (HPED), for the recognition of facial expressions in a person-independent environment. In this paper, we raise the issue of sampling error in generating the code-histogram from spatial regions of the face image, as observed in the existing descriptors. HPED describes facial appearance changes based on the statistical distribution of the top two prominent edge directions (i.e., primary and secondary direction) captured over small spatial regions of the face. Compared to existing descriptors, HPED uses a smaller number of code-bins to describe the spatial regions, which helps avoid sampling error despite having fewer samples while preserving the valuable spatial information. In contrast to the existing Histogram of Oriented Gradients (HOG) that uses the histogram of the primary edge direction (i.e., gradient orientation) only, we additionally consider the histogram of the secondary edge direction, which provides more meaningful shape information related to the local texture. Experiments on popular facial expression datasets demonstrate the superior performance of the proposed HPED against existing descriptors in a person-independent environment.

• Journal of Korea Entertainment Industry Association
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• v.5 no.2
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• pp.87-95
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• 2011

Recently, the issue has been tangible game environment due to the various interactive interface developments. In this paper, we propose the multi card touch based interactive arcade system by using marker recognition interface and multi-touch interaction interface. For our system, the card's location and orientation information is recognized through DI-based recognition algorithm. In addition, the user's hand gesture tracking informations are provided by the various interaction metaphors. The system provides the user with a higher engagement offers a new experience. Therefore, our system will be used in the tangible arcade game machine.

• Proceedings of the KSPS conference
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• 2002.11a
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• pp.51-59
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• 2002

This article discusses the teaching of listening and reading skills through enhancing the awareness of pronunciation. First, it examines the problems which take place in listening comprehension, and seeks the ways in which we can teach the skill rather than simply practise it. The approaches proposed are based on micro-listening exercises which practise individual subskills of listening, especially by using the cloze test and tracking. The issue of using authentic materials is then examined for teaching recognition of the features of natural speech. Finally, it is argued that classroom activities need to take account of the true nature of real-life L2 listening.

• Journal of Korea Multimedia Society
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• v.7 no.3
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• pp.308-318
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• 2004

A subject to recognize the damaged facial image is becoming an important issue in commercialization of automatic face recognition. The method to recognize a face on a damaged image is divided into two types. The one is to recognize remainders after removing the damaged information and the other is to recognize a total face after recovering the damaged information. On this paper, we present the reconstruction method by analyzing the main materials after extracting the damaged region through Kohonen network. The suggested algorithm in this paper estimates feature vectors of the damaged region using eigen-faces in PCA and then reconstructs the damaged image. This allows also the reconstruction under the untrained images. Through testing the artificial images where the eye and the mouth which have many effects to face recognition are damaged, the recognition rate of the proposed results showed similar results with the method which used Kohonen network, and improved about 11.8% more than symmetrical property method. Also, in case of the untrained image, our results improved about 14% more than that of the Kohonen method and about 7% more than that of the symmetrical property method.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.5
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• pp.144-149
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• 2013

With the increasing of service robots, human-robot interaction for natural communication between user and robots is becoming more and more important. Especially, face recognition is a key issue of HRI. Even though robots mainly use face detection and recognition to provide various services, it is still difficult to guarantee of performance due to insufficient test methods in real service environment. Now, face recognition performance of most robots is evaluation for engine without consideration for robots. In this paper, we show validity of test method using LED monitor through performance comparison of real images with from images LED monitor.

• Journal of KIISE
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• v.42 no.8
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• pp.1031-1038
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• 2015

The recent emergence of smart phones, wearable devices, and even the IoT concept made it possible for various objects to interact one another anytime and anywhere. Among many of such smart services, a smart home service typically requires a large number of sensors to recognize the residents' activities. For this reason, the ideas on activity recognition using the data obtained from those sensors are actively discussed and studied these days. Furthermore, plenty of sensors are installed in order to recognize activities and analyze their patterns via data mining techniques. However, if many of these sensors should be installed for IoT smart home service, it raises the issue of cost and energy consumption. In this paper, we proposed a new method for reducing the number of sensors for activity recognition in a smart environment, which utilizes the principal component analysis and clustering techniques, and also show the effect of improvement in terms of the activity recognition by the proposed method.

• Korean Journal of Culture and Social Issue
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• v.11 no.4
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• pp.83-95
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• 2005

The purpose of the present study was to investigate the relationship between spatial-erceptual ability and several aspects of driving-related situation awareness(in particular, recognition and prediction). Video clips of real driving were used in both recognition and prediction tasks, and the digit calculation task during driving the simulator was required as the integration task of recognition and prediction. The results showed that the subjects of higher spatial-perceptual ability performed better in recognition task, especially in terms of sensitivity measured in d'(as signal detection theory), prediction task, and digits calculation performance than those of lower spatial-perceptual ability.

• Korean Journal of Culture and Social Issue
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• v.20 no.4
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• pp.347-364
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• 2014

The present study was conducted to investigate how emotional expression change, test delay, and background influence on face recognition. In experiment 1, participants were presented with negative faces at study phase and administered for standard old-new recognition test including targets of negative and neutral expression for the same faces. In experiment 2, participants were studied negative faces and tested by old-new face recognition test with targets of negative and positive faces. In experiment 3, participants were presented with neutral faces at study phase and had to identify the same faces with no regard for negative and neutral expression at face recognition test. In all three experiments, participants were assigned into either immediate test or delay test, and target faces were presented in both white and black background. Results of experiments 1 and 2 indicated higher rates for negative faces than neutral or positive faces. Facial expression consistency enhanced face recognition memory. In experiment 3, the superiority of facial expression consistency were demonstrated by higher rates for neutral faces at recognition test. If facial expressions were consistent across encoding and retrieval, memory performance on face recognition were enhanced in all three experiments. And the effect of facial expression change have different effects on background conditions. The findings suggest that facial expression change make face identification hard, and time and background also affect on face recognition.

• Journal of Fisheries and Marine Sciences Education
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• v.22 no.1
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• pp.52-66
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• 2010

The purpose of this study is to identify the recognition and some solutions of academic achievement gap among academic high schools of four equalization cities' persons concerned in Gyeongsangnam-do. The persons concerned are designated to pupils, parents and teachers of secondary schooling. To accomplish the purpose of this study, the following two questions were asked: (i) How serious do they recognize academic achievement gap among academic high schools? (ii) What kind of solutions do they prefer in order to reduce or dissolve academic achievement gap among academic high schools? The survey subjects of this study were 4,192 persons. They consisted of 2,428 pupils, 1,173 parents and 591 teachers of secondary schools. The contents of the questionnaire were made of the details of the above two questions. Frequencies, percentage, $x^2$ and F test were mainly applied to the statistical analyses. The findings of this study may be summarized as follows. First, half of the subjects recognized the seriousness of academic achievement gap among academic high schools in general. Parents were higher than teachers and teachers were higher than pupils in recognizing the seriousness of this issue. Secondly, they recognized that radical change of current allocation ways, incentives to competent teachers, and financial support, administrative counseling for unpopular high schools etc. were some potent alternatives to this issue.