• Asia Marketing Journal
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• v.25 no.1
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• pp.15-25
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• 2023

Innovation is no longer the purview of high-tech industries; it is blossoming in the home appliances and cosmetics sectors. However, consumers' anxiety about the risk of new products prevents them from reaping the benefits of innovation. This anxiety is driven by customer's lack of prior information on new products. This study examines how difference age between the chronological age of consumers and their cognitive age affects consumers' willingness to search for information on innovative products, leading to reduced new-product anxiety. According to a survey of participants who actually bought an innovative product, we found that participants searched for more information when they perceived themselves to be younger than their chronological age (a high difference age). Where participants did not proactively search for information (due to a low difference age), they could be encouraged to do this through marketing campaigns. Together, these findings expand our understanding of how consumers' difference age can be leveraged in digital marketing to enable companies to more strategically reach consumers when planning or launching innovative products.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.4
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• pp.127-132
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• 2014

Some laws and regulations may require internet service providers to provide services based on the age of users. Age verification in the online environment should be used as a tool to provide service that is appropriate to child based on age. Using the minimum attribute information, processes on age verification provides the proper guidance to the internet services. However, there is a lack of a globally accepted trust framework for age verification process including evaluation factors for age verification information. In this paper the federation model of user attributes were described and evaluation factors for the age verification information were suggested. Also using the suggested evaluation factors, performance evaluation of federation model of user evaluation was performed. To meet the requirements of evaluation factors, framework of federation model should consider the unlinkability pseudonym support, eavesdropping protection and cloning protection.

• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.4
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• pp.631-640
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• 2016

The youth-pursing syndrome is especially amplified through a variety of media due to medical technology development, increases in social activities, and influence. This study discusses the relationship of youth-pursuing, media appearance information interest, and media contact responses focused middle-aged women. Data were collected from 245 females aged 40-65 in Seoul, Daejeon and Chungbuk area residents. The SPSS WIN 21.0 program analyzed the data by descriptive statistics, factor analysis, and regression analysis. Youth-pursuing derived social, psychological, and outward factors. Only an outward factor of these three dimensions influenced a significant media appearance information interest, and media contact response. The regression analysis results for chronological age and cognitive age, cognitive age influenced all variables significantly (three factors of youth-pursuing, media appearance information interest, and media contact response). But chronological age influenced significantly only the media appearance information interest. This study verified the relationship of youth-pursuing and media variables (media appearance information interest and media contact response).

• Journal of the Korea Institute of Information and Communication Engineering
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• v.27 no.1
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• pp.131-134
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• 2023

The age of information (AoI) was proposed to quantify the freshness of information about the status of a remote source system, which is defined as the amount of time that has elapsed since a packet was created at its source. This paper analyzes the age of information of a discrete time Geo/D/1/1 status update system. For this purpose, the system is modeled as a discrete-time two-state Markov chain. The stationary probability distributions for peak AoI and AoI are obtained. The average peak AoI, the average AoI, and the freshness ratio of information are also derived. Some numerical results of the analysis are presented.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.989-990
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• 2008

Most of all popular music is made by genre and specification of music according to age group. Generally Young people of $10{\sim}20$ ages like dance and techno, But old people over 40 age like trot. In this paper, we analyzed characteristic of music which people preferred by an age group. Without relevance with age, we could confirm the factor of music which popular in all age group by analyzing. The common factor of music all of age group liked are slow word, fast beat, repeated and simple melody, and characteristic of frequency in affluent middle tone.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.7
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• pp.2480-2495
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• 2014

This paper describes a hierarchical method for image-based age estimation that combines age group classification and age value estimation. The proposed method uses a coarse-to-fine strategy with different appearance features to describe facial shape and texture. Considering the damage to continuity between neighboring groups caused by fixed divisions during age group classification, a dynamic grouping technique is employed to allow non-fixed groups. Based on the given group, an ordinal hyperplane ranking (OHRank) model is employed to transform age estimation into a series of binary enquiry problems that can take advantage of the intrinsic correlation and ordinal information of age. A set of experiments on FG-NET are presented and the results demonstrate the validity of our solution.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.3
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• pp.483-486
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• 2022

Real time data exchange and information transmission are becoming more and more important these days. The concept of age of information (AoI) was proposed to quantify the freshness of information about the status of a remote source system. The AoI is defined as the amount of time that a packet experiences since it was generated at the source up to now. This paper analyses the age of information for a discrete time Geo/Geo/1/1 status updating system. The stationary probability distribution for peak AoI is obtained. Freshness ratio of information is also derived. Some numerical results obtained by the analysis are presented.

• International Journal of Internet, Broadcasting and Communication
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• v.8 no.2
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• pp.81-85
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• 2016

Information ethics is very essential for everyone in the current knowledge-based society. Every citizen in modern society can enjoy various benefits of recent internet technologies. In the meanwhile, everyone also is exposed to the various side effects of information and communication technologies. The typical side effects include copyright violation, cyber crimes, cyber bullying, internet addiction, and so on. The purpose of this paper is to identify correlation between age and information ethics. For this purpose, 3-year national survey works Information Culture Index are analyzed. After thorough statistical analysis work, it is concluded that there is a meaningful correlation between age and information ethics. In other words, the older people are, the higher information ethics they recognize and observe.

• Fashion & Textile Research Journal
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• v.20 no.4
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• pp.389-399
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• 2018

The purpose of this study was to investigate the differences of sociocultural attitudes toward appearance, clothing and cosmetics purchasing behaviors according to male consumer's age group. The research method was survey and subjects were 656 male consumers. The results were as follows. First, three factors (appearance importance awareness, appearance internalization, and slimness importance awareness) were emerged on sociocultural attitudes toward appearance. Young age group showed higher level of appearance importance awareness and internalization than middle age group. Second, there were many differences on clothing purchasing behaviors by age variable. Young age group more importantly considered psycho-social purchasing motives, aesthetic selection criteria, and the internet as information source and purchasing place than middle age group. Whereas middle age group more importantly considered practical purchasing motives, practical selection criteria, and store display & salesman as information sources, and fashion outlet as purchasing place than young age group. Third, there were also many differences on cosmetics purchasing behaviors by age variable. Young age group used more and various cosmetics, and they more importantly considered skin improvement as purchasing motive, skin suitability and price as selection criteria, the internet as information source and purchasing place than middle age group. On the other hand, middle age group generally used fundamental cosmetics, and they more importantly considered skin protection as purchasing motive, quality as selection criterion, TV and store display & salesman as information sources, and discount store and cosmetics speciality store as purchasing places than young age group.

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.449-451
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• 2007

In the commercially managed timber lands, the information such as height, age, stand density, canopy closure and leaf area index need to be collected periodically. Stand volume is the most fundamental information in the valuation of timber, however, stand age information is the primary element of forest inventory and these two are highly correlated. Conventional method of collecting stand age information by field surveys such as ring count method is accurate; however, it is expensive, labor-intensive and time consuming. In the present study it was aimed to collect stand age information using modem techniques in a commercially managed timberland situated in Tennessee, USA. The Landsat Thematic Mapper (TM), Enhanced Thematic Mapper (ETM+) of three different periods, Shuttle Radar Topography Mission (SRTM), National elevation dataset (NED) and field inventory data were used. Normalized difference vegetation index (NDVI) and Tasselled Cap (TC) transformation techniques were applied on the TM and ETM+ data. The regression analysis was carried out to identify the correlation between stand age and NDVI, TC. In the present study about 2,469 datasets were analyzed. The $R^{2}$ value for stand age estimation was 0.713. The NDVI, TC2 and TC3 were found to produce accurate timber age information.