• Journal of Korean Academy of Oral and Maxillofacial Radiology
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• v.27 no.1
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• pp.7-16
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• 1997

This study was performed to demonstrate the method of image reformation for dental implants, using a personal computer with inexpensive softwares and to compare the images reformatted using the above method with those using Dentascan software. CT axial slices of 5 mandibles of 5 volunteers from GE Highspeed Advantage(GE Medical systems, U.S.A.) were used. Personal computer used for image reformation was PowerWave 6041120 (Power Computing Co, U.S.A.) and softwares used were Osiris (Univ. Hospital of Geneva, Switzerland) and Import ACCESS V1.H Designed Access Co., U.S.A.) for importing CT images and NIH Image 1.58 (NIH, U.S.A.) for image processing. Seven images were selected among the serial reconstructed cross-sectional images produced by Dentascan(DS group). Seven resliced cross-sectional images at the same position were obtained at the personal computer(PC group). Regression analysis of the measurements of PC group was done against those of DS group. Measurements of the bone height and width at the reformed cross-sectional images using Mac-compatible computer were highly correlated with those using workstation with Dentascan software(height : r²=0.999, p<0.001, width : r²=0.991, p<0.001). So, it is considered that we can use a personal computer with inexpensive softwares for the dental implant planning, instead of the expensive software and workstation.

• Proceedings of the IEEK Conference
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• 2001.06b
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• pp.75-78
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• 2001

In this paper, we proposed a personal identification method using binay image encryption technique and decryption system in JTC structure. Logo which represents the group symbol was encrypted with personal fingerprint and JTC structure decrypts this logo. The logo can not decrypted by other unused fingerprint even if the encrypted image was lost or stolen. So this method can give more safe personal identification.

• Journal of the Korean Society of Costume
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• v.18
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• pp.269-281
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• 1992

The purposes of this study were to 1) classify the contents of clothing image preferences, 2) find out the relationship among personal values, preferences for clothing image and clothing design, and 3) investigate the relationship between clothing image preferences and clothing design preferences, Questionnaire was comprised of three section. The clothing image preference measure was included 36 bipolar adjectives of 7-point scales. Clothing design preferences measure was included the items of patterns, colors, and textures. 'Survey of Personal Values' by Eung-Un Hwang and Kyung -hye Lee was used for measurement of 6 values : practical mindedness ; achievement ; variety ; decisiveness; orderliness; and goal orientation. Samples were 288 college women. The data were analyzed using pearson's correlation coefficient and factor analysis. The results of the study were the following. 1. Four segments of clothing image preferences derived by factor analysis : F. 1 'progressive-conservative' ; F.2. 'casual-formal'; F.3 'plain-splendid'; F.4 'masculine-feminine'. 2. In relation between personal values and clothing image preferences, 1) achievement was positively related to the preference of progressive image 2) variety was positively related to the preferences of progressive and masculine image, and 3) goal orientation was negatively related to the preferences of the progressive and masculine image, and positively related to plain image. 3. In relation between personal values and clothing design preferences, 1) practical mindedness was positively related to the preference of black, 2) achievement was positively related to the preferences of blue and such realistic pattern as floral, 3) variety was positively related to the preferences of geometric or abstract patterns and thick or transparent texture, and 4) orderliness was negatively related to the preferences of abstract pattern. 4. In relation between clothing image preferences and clothing design preferences, 1) progressive image was positively related to abstract pattern, red, blue, and black, 2) casual image was positively related to geometric pattern, green, blue, and negatively related to red and soft rexture, 3) plain image was negatively related to lustered and transparent texture, abstract pattern, red, and black, and 4) masculine image was negatively related to lustered, thin, soft, and transparent texture, floral and dotted patterns, red, orange, and yellow.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.5
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• pp.1-8
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• 2017

Recently, with the development of ICT technology such as cloud and mobile, image utilization through social networks is increasing rapidly. These images contain personal information, and personal information leakage accidents may occur. As a result, studies are underway to recognize and mask personal information in images. However, optical character recognition, which recognizes personal information in images, varies greatly depending on brightness, contrast, and distortion, and Korean recognition is insufficient. Therefore, in this paper, we design and implement a personal information identification and masking system based on image recognition through deep learning application using CNN algorithm based on optical character recognition method. Also, the proposed system and optical character recognition compares and evaluates the recognition rate of personal information on the same image and measures the face recognition rate of the proposed system. Test results show that the recognition rate of personal information in the proposed system is 32.7% higher than that of optical character recognition and the face recognition rate is 86.6%.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.3
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• pp.91-101
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• 2011

Internet is becoming increasingly popular due to the rapid development of information and communication technology. There has been a convenient social activities such as the mutual exchange of information, e-commerce, internet banking, etc. through cyberspace on a computer. However, by using the convenience of the internet, the personal IDs(identity card, driving license, passport, student ID, etc.) represented by the electronic media are exposed on the internet frequently. Therefore, this study propose a feature extraction method to analyze the characteristics of image files containing personal information and a image retrieval method to find the images using the extracted features. The proposed method selects the feature information from color, texture, and shape of the images, and the images as searched by similarity analysis between feature information. The result which it experiments from the image which it acquires from the web-based image DB and correct image retrieval rate is 89%, the computing time per frame is 0.17 seconds. The proposed method can be efficiently apply a system to search the image files containing personal information and to determine the criteria of exposure of personal information.

• 한국생활과학회:학술대회논문집
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• 2010.05a
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• pp.149-151
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• 2010

• Journal of East-West Nursing Research
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• v.9 no.1
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• pp.83-90
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• 2004

Purpose: This study was to investigate the image of nurse perceives by students of elementary and middle schools in Seoul, Korea. Methods: The data were collected through questionnaire survey on 860 students. The survey was performed during May to Jun. 2003. The nurse image was analyzed through the instrument conceived by Il-Sim, Yang(1998) on the basis of four dimensions; traditional, social, professional and personal. The collected data analyzed using SPSS 11.0 with frequency, mean, standard deviation and t-test. Results: The results of this study were as follows. 1. There was a significant difference in the nurse's image between elementary and middle school students(p=.000), and the elementary students had more positive image. 2. The nurse's image of elementary school students had more positive than middle school students in traditional(p=.000), social(p=.000), professional(p=.000) and personal dimension(p=.015). In elementary school students, score of nurse's image was the highest in personal dimension, followed by traditional, professional and social in order. In middle school students, score of nurse's image was the highest in personal dimension, followed by professional, traditional and social in order. 3. The difference of nurse's image not showed statistical significance in sex, religion, experience of hospitalization(self), experience of hospitalization (family), nurses in family by general characteristics. Conclusion: As a result, elementary school student had more positive nurse's image than middle school student in all the aspects. But as they grow old, it changed negative. It is required to develop public information or education fit with student's age to image making by broadcasting and to improve the image nurses themselves.

• Korean Journal of Optics and Photonics
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• v.14 no.4
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• pp.383-391
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• 2003

A new optical security system for the protection of personal identification information is proposed. Personal identification information consisting of a pure face image and an identification number is used for verification and authentication. Image encryption is performed by a fully phase image encryption technique with two random phase masks located in the input and the Fourier plane of 4-f correlator. The personal information, however, can be leaked out in the decryption process. To cope with this possibility, the encrypted image itself is used in the identification process. An encrypted personal identification number is discriminated and recognized by using the proposed MMACE_p (multiplexed MACE_p) filter, and then authenticity of the personal information is verified by correlation of the face image using the optical wavelet matched filter (OWMF). MMACE_p filter is a synthetic filter with four MACE_p (minimum average correlation energy_phase encrypted) filters multiplexed in one filter plane to recognize 10 different encrypted-numbers at a time. OWMF can improve discrimination capability and SNR (signal to noise ratio). Computer simulations confirmed that the proposed security technique can be applied to the protection of personal identification information.

• Korean Journal of Community Nutrition
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• v.14 no.6
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• pp.807-816
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• 2009

This day's research analyzed the difference between brand personality, self - image congruity, job satisfaction and their influences towards employees of family restaurants in order to suggest a plan which would induce researcher's interest as well as influencing diversification of management strategies toward dining-out business. The purpose of this research is to analyse the difference between brand personality, self - image congruity, job satisfaction and their influences towards employees of family restaurants. The survey questionnaires were distributed to 300 employees of family restaurants in Seoul from August 1th until August 30th 2009, and 257 of them were used for analysis. The top seven company's were chosen by base on data from 2009 Annual Dinner of the Korea. Statistics handling of this research used SPSS WIN 17.0 statistics package program, which performed frequency analysis, factor analysis, regrssion anlysis. The research result shows, first of all, the relationship between company's brand personality and personal self - image congruity, it shows that the company's brand personality has higher on 'ability/capability, loyalty/fidelity, and strong' the personal self - image congruity appeared higher. The relationship between company's brand personality and social self-image congruity, it shows that the company's brand personality has higher on 'ability/capability and loyalty/fidelity' the social self-image congruity appeared higher. Second of all, in a relation between the self-image congruity and job satisfaction, the personal self-image congruity has shown positive impact on job satisfaction. Third of all, in a relationship between the company's brand personality and job satisfaction, if 'interest or loyalty/fidelity' shows higher on brand personality, than job satisfaction has shown higher.

• Journal of Institute of Control, Robotics and Systems
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• v.3 no.3
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• pp.318-322
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• 1997

A prototype of combustion zone monitoring system as been developed and installed into tuyeres of the blast furnace. The system consists of CCD(charge coupled device) cameras, sonic flow meters, an image processor and a personal computer. The personal computer collects raceway luminance data and operational data from the image processor that is connected to the color CCD camera from the blast furnace process computer, respectively. In addition, the sonic flow meters supply coal injection rate data to the personal computer. Then, the personal computer evaluates the combustion conditions with the raceway inspection algorithm. This integrated monitoring system allows us to detect abnormal raceway conditions and the clogging status of coal injection pipe. The image processing techniques of the system enable us to effectively monitor unburnt coal sticking to tuyere tip and injection lance wear conditions. Such a developed system ensures rapid and precise raceway inspection. The image processing capability of the system has helped operator to early detect both the unburnt coal sticking problem and the errosion problem of injection lance. Furthermore, the system could control the abnormal raceway condition based the the analysis results obtained from combustion monitoring.