• Journal of IKEEE
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• v.14 no.4
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• pp.332-338
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• 2010

Usually, mage feature extraction methods are performed as a pre-processing step in many applications including image retrieval, object recognition, and image indexing. Especially, in the image texture analysis, texture feature extraction methods attempt to increase texture contrast to make it easier to extract the texture features from the image. One of the distinct textures in microscopic skin image is the wrinkle, and its features could provide various useful information for the age-related applications. In this paper, we propose a scheme to extract age-related features from the skin images and improve its accuracy in the skin age estimation.

• The Journal of the Korea Contents Association
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• v.2 no.4
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• pp.67-75
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• 2002

As the knowledge-based society progresses the amount of information increases tremendously and also the accessibility to information is much improved through the diffusion of internet and digitalized contents. At this juncture the systematic management and efficient analysis of immense information surfaces as a global issue. And the paradigm of information turns from the age of information access to the age of information analysis. So it is urgently required to analyze technology trend from technology information and to establish the way to realize a systematic method for information analysis. Accordingly in this study an information analysis system is developed that contributes to the decision of proper direction for R&D and technology development by rapidly and systematically analyzing search results from the technology databases online and can reduce to a great degree the shorts and time required to collect and analyze information.

• Journal of Information Management
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• v.37 no.3
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• pp.85-97
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• 2006

In a Digital Age contents are comprized of knowledge and information. Also distinction between the sinner and loser is very clear thus only those who can rise up to challenge of changes can become the strong and a principal player. In this study this author presented a model for forecasting information service program(FISP) which is devised for the purpose of innovation of service pattern related to providing information which is ultimate goal of a library. This model is an innovative strategy escaping boldly from negative and inactive information service pattern known in analog age. Through this model this author attempted to outline methodology for heightening ideal of professional librarians and for assuring success in organizational system.

• Convergence Security Journal
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• v.15 no.6_2
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• pp.89-97
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• 2015

The Smart phone is the mobile phone added to mounted equipment miniaturized operating system of PC and wireless phone possible hardware, software modules. This study is examine about Smart phone supply spreading process and characteristic by age. And this study is wish to investigate about age-based features of the media usage attitude via a Smart phone as a reference questionnaire of KISA and KISDI. Smart phone is easy-to-use and excellent portability and mobility like Pocket PC. It is easy to information and data search anytime and anywhere unaffected by time and place. It is to possible a variety of information exchange with several acquaintances and easy to photos and video photography. Wish to improve the life satisfaction with widely using for smart phones at all ages.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.3
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• pp.207-221
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• 2014

Education environment of modern society is rapidly changing along the usage of various device and development of contents. Learners of diverse age groups and genders are exposed in smart education environment. Thus in order to investigate effective smart education contents production, this study classified interactive types that affect learning satisfaction into CAI (Computer Assisted Instruction) based , NCS (Network Communication System) based , and NTS (New Technology System) based . Then we investigated how each interactive types affect immersion, utility, self-efficacy, practicality, and stimulation. The effects were measured according to the learner's gender and age. As the result, interactive types do affect smart education, where male had higher learning satisfaction for CAI based, game type, and wiki type while female had higher satisfaction for relationship establishment type and experience type. Also, for age group, the 10s preferred NTS based, 20~30s NCS based, and 40s and over CAI based interactive type. Thus, if satisfaction levels according to gender and age are considered when producing smart education contents, it may be possible to create educative contents that meet the dispositions of the learners.

• Journal of Families and Better Life
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• v.24 no.3 s.81
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• pp.27-41
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• 2006

The purpose of this study is to investigate the general tendencies and casual relations of demographic variables, consumer alienation, materialism and impulse buying among college students. Three hundred and forty one undergraduate students in Daejeon were participated in this study. Factor analysis, Multiple regression and Path analysis were used as statistical analysis. The major findings are as follows: 1. Consumer alienation of college students was divided into 4 types such as Powerlessness, Meaningless, Normlessness, Cultural Estrangement. The overall level of consumer alienation was 3.36. Normlessness(M=3.70) was the highest, and the lowest was powerlessness(M=2.82). Consumer alienation was influenced by gender, age, subjective level of living. Specifically, the lower the age and the subjective level of living were the higher meaningless and powerlessness respectively. And cultural estrangement was higher in male than female. However, normlessness was not affected by demographic variables. 2. The level of materialism of college students was relatively high(M=3.71). The materialism was affected by gender, age, allowance adequacy. 3. The level of impulse buying was higher than middle point(M=3.29). The results of path analysis showed that gender, age, allowance, allowance adequacy, socio-economic status, subjective level of living, powerlessness, materialism influence on impulse buying direct and indirect.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.779-782
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• 2017

OpenBR is a framework for researching new facial recognition methods, improving existing algorithms, interacting with commercial systems, measuring perceived performance, and deploying automated biometric systems. Designed to facilitate rapid algorithm prototyping, it features a mature core framework, flexible plug-in system, and open and closed source development support. The established algorithms can be used for specific forms such as face recognition, age estimation, and gender estimation. In this paper, we describe the framework of OpenBR and implement facial recognition, gender estimation, and age estimation using supported programs.

• Human Ecology Research
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• v.56 no.3
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• pp.217-232
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• 2018

This study analyzes the determining factors of the digital divide index in married female immigrants based on panel data from the National Information Society Agency (2016). There were 287 participants, all of whom owned a smartphone. The study divided the consumer groups into three age groups: 20-29, 30-39, and 40-49 years. SPSS 19.0 was used to statistically analyze the results. The findings of the analysis were described using frequency, descriptive, cross-tab, ANOVA, correlation, and multiple regression analysis. The findings of this research are as follows. First, nationality, acquisition of Korean nationality, and duration of living in Korea were significantly different among the three groups. Second, digital competency and online service usage were also significantly different among the three groups. Third, PC usage ability, mobile usage ability, and diversity of online usage significantly influenced the digital divide index in all age groups. Fourth, residential duration in Korea significantly decreased the digital divide index for groups in their 30s and 40s. Fifth, Loneliness significantly increased the digital divide index for groups in their 20s. Sixth, depression significantly increased the digital divide index for groups in their 30s. The study will help to further understand age-related differences and the digital divide of married female immigrants.

• Journal of the East Asian Society of Dietary Life
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• v.13 no.6
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• pp.501-513
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• 2003

This study was conducted to investigate the relationship between general characteristics and the eating-out behaviors of 643 male/female industrial workers. The results of the study was summarized as follows. 1. The frequency rate of eating-out was higher for male than female, college graduates than high school graduates, high income earner than low income earner, and unmarried than married(p<0.05). 2. Average cost for eating-out was higher for male than female, for high educated and high income earner than low educated person. Age, married or not, personal health conditions and BMI, however, didn't make any difference in the average cost for eating-out. 3. Reasons fur eating-out was very different due to gender, age, degree of education income rate, married or not, BMI(p<0.05) but basically eating-out was due to get together with friends or colleagues. Also, people who thought they were not in good health answered that they did not eat-out in any conditions. Overweighted people ate out more often than normal or under-weighted people. 4. The method in gathering information about eating-out was different according to the level of education and whether married or not. On the other hand, gender, age, income rate, personal health condition and BMI did not make a big difference in its method. However, most People who Participated in the survey gathered information from people around them, such as friends/colleagues. 5. Taste was the most important factor in deciding the actual eating-out restaurant among the respondents and gender, age, level of education, married or not also made significant differences (p<0.05). 6. Besides personal health conditions and BMI, all the general characteristics including age made significant differences in selecting the most frequently visited restaurant. 7. Besides the personal health conditions, the transportation vehicle was different due to gender, age, level of education, income rate, married or not and BMI. As seen from the results, the eating-out behaviors mostly differed due to general characteristics. In order to searching for a new eating-out market, the general characteristics and the trend of the target customers has to be analyzed to activate the eating-out industry. In addition the need for highly nutritional food with low calorific value has to be emphasized along with the taste.

• Journal of the Ergonomics Society of Korea
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• v.23 no.2
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• pp.105-120
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• 2004

With the new technology and the popularization of mobile phone. the functions and designs of mobile phone have been varied rapidly. However. based on the user's level of familiarity on mobile phone function and knowledge of information technology. the using behaviors of mobile phone. especially between the young users who are well acquainted with the latest function and technology and the over middle-aged users who are relatively not. would be quite different. A survey was conducted to investigate the various using behaviors of mobile phone in different age groups. The total number of six hundred and sixty-seven people from age seventeen to sixty participated in this study. The participants were divided into young group (age between 17 to 29) and the over middle-aged group (age between 40 to 60) to compare the difference group considered design. price. and function of the mobile phone as three important factors. on the other hand. the over middle-aged group considered quality of communication. price and ease of use as three important factors. All the respondents of the young group know how to use the text messaging function. however for the over middle-aged group. 40% of the respondents knows how to use the text messaging function. The over middle-aged group seemed mainly use the mobile phone for voice communication. however the young group had a tendency to communicate each other with short text message rather than through voice conversation. Twenty percentage of young group responded that they had an experience of pain or discomfort at the thumb. the thenar eminence area. or carpus area during pushing the mobile phone keypad. The excessive frequent use of keypad may cause the risk of repetitive strain injury (RSI). The results of this study could provide important information to understand the way of using mobile phone in different age groups. and also could be used to design and market the mobile phone.