• The Korean Journal of Food And Nutrition
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• v.25 no.4
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• pp.1039-1046
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• 2012

The purpose of this study was to lay emphasis on the importance of a restaurateur's role and qualities as well as to provide the restaurateur information necessary to effectively run a restaurant. To address the purpose, this study analyzed the qualities of a restaurateur and determined the influence they have on the business results, via conducting a survey with 117 restaurateurs from June 11th to June 26th 2011. In summary, male restaurateurs were higher in the vision directivity, desire to learn, accomplishment, challenge and pro-activity than their female counterparts, with a significant difference of p<0.05. According to their ages, the surveyees showed significant differences in the vision directivity (p<0.05), desire to learn (p<0.01), challenge (p<0.01) and pro-activity (p<0.01). In addition, also the survey revealed that the qualities of a restaurateur had a significant influence on financial performance, a sense of satisfaction and business results (p<0.001). The questionnaire resulted in the following: first, the vision directivity (p<0.05) and the challenge (p<0.05) affected the financial performance; second, the challenge had influence on the sense of satisfaction; and last, the vision directivity (p<0.05) and the challenge (p<0.05) had an effect on the business results. Thus, the study concluded that restaurateurs need two qualities: (i) the vision directivity in order to meet their goals and to have a higher business results and (ii) the challenge to try new managing methods in order to cope with the ever-changing environment.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.4 no.3
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• pp.197-201
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• 2011

The use of gestures provides an attractive alternate to cumbersome interfaces for human-computer devices interaction. This has motivated a very active research area concerned with computer vision-based recognition of hand gestures. The most important issues in hand gesture recognition is to recognize the directivity of finger. The primitive elements extracted to a hand gesture include in very important information on the directivity of finger. In this paper, we propose the recognition algorithm of finger directivity by using the cross points of circle and sub-primitive element. The radius of circle is increased from minimum radius including main-primitive element to it including sub-primitive elements. Through the experiment, we demonstrated the efficiency of proposed algorithm.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.1
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• pp.63-68
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• 2010

Recently, to accelerate the Ubiquitous generation, the input interface of the mobile machinery and tools are actively being researched. In addition with the existing interfaces such as the keyboard and curser (mouse), other subdivisions including the handwriting, voice, vision, and touch are under research for new interfaces. Especially in the case of small-sized mobile machinery and tools, there is a increasing need for an efficient input interface despite the small screens. This is because, additional installment of other devices are strictly limited due to its size. Previous studies on handwriting recognition have generally been based on either two-dimensional images or algorithms which identify handwritten data inserted through vectors. Futhermore, previous studies have only focused on how to enhance the accuracy of the handwriting recognition algorithms. However, a problem arisen is that when an actual handwriting is inserted, the user must select the classification of their characters (e.g Upper or lower case English, Hangul - Korean alphabet, numbers). To solve the given problem, the current study presents a system which distinguishes different languages by analyzing the form/shape of inserted handwritten characters. The proposed technique has treated the handwritten data as sets of vector units. By analyzing the correlation and directivity of each vector units, a more efficient language distinguishing system has been made possible.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.8
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• pp.1725-1731
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• 2004

The use of gestures provides an attractive alternate to cumbersome interface devices for human-computer interaction. This has motivated a very active research area concerned with computer vision-based analysis and interpretation of hand gestures. The most important issues in gesture recognition are the simplification of algorithm and the reduction of processing time. The mathematical morphology based on geometrical set theory is best used to perform the processing. A key idea of proposed algorithm in this paper is to apply morphological shape decomposition. The primitive elements extracted to a hand gesture include in very important information on the directivity of the hand gestures. Based on this characteristic, we proposed the morphological gesture recognition algorithm using feature vectors calculated to lines connecting the center points of a main-primitive element and sub-primitive elements. Through the experiment, we demonstrated the efficiency of proposed algorithm. Coupling natural interactions such as hand gesture with an appropriately designed interface is a valuable and powerful component in the building of TV switch navigating and video contents browsing system.