• Science of Emotion and Sensibility
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• v.8 no.3
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• pp.231-240
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• 2005

The social participation and economic position of the woman come to be high, they are rising to the market as a core consumer and trend inventor leading the fashion. So that, we have to recognize the woman with one axis of product development, it is necessary to the product development and the strategy which it will put woman oriented sensibility in product design. From this research, it reviews the backgrounds from social culture and the economic marketing sides through the digital product recently, it analyzed the features of woman characteristic designs which is embossed the product. Also it connected actual product development, it developed a woman oriented sensibility audio which reflected a woman's consuming trend, life style and the preference product style. It proposed the necessity of woman oriented product development ultimately and researched the product design strategy for the reflection of woman sensibility.

• Journal of Korea Technology Innovation Society
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• v.14 no.spc
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• pp.1171-1186
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• 2011

Identifying Emerging Technology Trends is crucial for decision makers of nations and organizations in order to use limited resources, such as time, money, etc., efficiently. Many researchers have proposed emerging trend detection systems based on a popularity analysis of the document, but this still needs to be improved. In this paper, an emerging trend detection classifier is proposed which uses both academic and industrial data, SCOPUS and PATSTAT. Unlike most pre-vious research, our emerging technology trend classifi-er utilizes supervised, semi-automatic, machine learning techniques to improve the precision of the results. In addition, the citation information from among the SCOPUS data is analyzed to identify the early signals of emerging technology trends.

• Journal of Korean Association for Spatial Structures
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• v.9 no.4
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• pp.89-96
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• 2009

Apartment is the most favorite residential type which already occupies more than 50 percent of total number of housing unite in Korea. The interior space design shows various changes of trends within old and legal standard in terms of basic dimension. The most important function of housing means that Provides comfortable living spaces for a family and enjoying relaxation of stress form social activities. This residential space effects direct or indirect to each family members self-satisfaction and relationship. The basic factor for space design brings dimension which is enable space efficiency together with behavioral route, size of electronics and furnitures. Apartment dwelling type was introduced from out of countries. From the very beginning that inharmonious conflicts found and adjusted for several decades. But, the changes of body conditions of new generation has not considered as a dwelling space design yet. This research may call for attention of changing human scale standards for housing in various field of study.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.604-607
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• 2018

From the last past decade, the Internet of Thing (IoT) area has attracted a lot of attention from researchers. It is said to be a promising technology with great impact in people life, since it redefines the relationship objects have with Human and between themselves. It allows objects to gather data from the real world and communicate with others through the internet. This enabled many opportunities for service providers, companies, factories, environmental monitoring, healthcare, smart cities, and soon. Therefore, today, IoT is densely used in various domains of life, and knows an exponential growth. However, although many advancements have been achieved, several challenges keep causing issues and still need to be overcome. This paper gives an overview on the current trend issues in IoT on which researchers are focusing. It's also explores different proposed frameworks to allow the application of cognitive computing as an integrated process of an Internet of things (IoT) systems, to bring a great advanced in the way machine may communicate with human and their surroundings. This is known as cognitive IoT (CIoT), which allows machines to produce a human-like behavior, then providing enhanced level of capabilities to IoT.

• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.105-117
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• 2022

This study investigated how women in their 20s to 60s think about the relationship between environmental pollution and the fashion industry and categorized their perceptions. Through this, I tried to find out the direction of the fashion industry to improve environmental problems. There were four types of perceptions of fashion and environmental pollution. Type 1 recognized that the process of producing and consuming clothing causes environmental pollution, but it was a type that preferred fast fashion and valued trends. Type 2 thought that the fashion industry pollutes air and water quality, and if the price was high, recycling clothes were not purchased. Type 3 thought that the fashion industry was not the main culprit of environmental pollution, and that if you purchase clothes, you should protect the environment by wearing them for a long time. Type 4 was a type of effort to reduce environmental pollution by considering the environment first, purchasing old clothes, and changing clothes. As the importance of the environment has grown, various efforts are needed to reduce environmental pollution in the fashion field.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.5
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• pp.903-913
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• 2015

The Korea Agency of Education, Promotion and Information Service in Food, Agriculture, Forestry and Fisheries launched a public data portal service in January 2015. The service provides customized information for consumers through an agri-food recommendation system built-in portal service. The recommendation system has fallowing characteristics. First, the system can increase recommendation accuracy by using a wide variety of agri-food related data, including SNS opinion mining, consumer's purchase data, climate data, and wholesale price data. Second, the system uses segmentation method based on consumer's lifestyle and megatrends factors to overcome the cold start problem. Third, the system recommends agri-foods to users reflecting various preference contextual factors by using recommendation algorithm, dirichlet-multinomial distribution. In addition, the system provides diverse information related to recommended agri-foods to increase interest in agri-food of service users.

• Journal of the Korean Institute of Landscape Architecture
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• v.42 no.2
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• pp.91-102
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• 2014

Recent trends in urban policies show the increasing importance of urban parks. Moreover the park policy and planning are increasingly important for the good urban park system. Comparative studies in the operational system and planning contents of the parks and green space plans of the major cities would be timely and meaningful. This study aims to provide a comparative study in operational system and planning contents of the Parks and Green Space Master Plan at urban scale. Sites include London, New York, Berlin, Sydney and Seoul. Analyses are focused on the master plans and strategy reports of each city. Frameworks for analysis are divided into operational system and planning contents. The results are as follows. First, the Parks and Green Space Plans as an open space planning linked to related resources would contribute to both integrated resources management and practice of the fairness. Second, evolution from quantity to quality of the parks and green space plan enhances revitalization and regeneration. Third, shift from the 'supply oriented plan' to 'need based plan' model provides flexible planning model to meet the demographic change, trend change, preference and use. Fourth, planning agents, enlarged opportunities for participation within each phase, diversified of the participants lead the changes from the passive participation to active one. In order to improve the practicability of the parks and green space master plan, a flexible planning strategy including social awareness changes and park governance is required.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.299-309
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• 2022

YouTube videos secure the latest trends in the field and provide viewers' preferences and non-preferences. This study analyzes the discussion of death in recent YouTube videos and explores the relationship between life, well-dying, and well-aging. The purpose of this study is to contribute to the establishment of a healthy life for Koreans by exploring relevance. The survey period and target are 13 videos uploaded on YouTube from 2019 to 2021. As a result of the investigation, it was possible to encompass 25 speakers who were discussing death centered on doctors. Video speakers in charge of various areas conducted various discussions on death from the perspective of experts. The key points are the true value of life, death that you don't need to fear, the importance of hope, the naturalness of death, etc. 11 expert perspectives are measured into 4 types based on 4 criteria: life, death, well-aging, and well-dying. Despite the limitations of studying 13 extracted at a specific time, this study revealed that YouTube videos are a place for free communication. It can contribute in part to maintaining and improving the health of our lives in the future and researching convergence.

• The Journal of Bigdata
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• v.7 no.2
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• pp.153-172
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• 2022

Online shopping has transformed and rapidly grown the entire market at the forefront of wholesale and retail services as an effective solution to issues such as digital transformation and social distancing policy (COVID-19 pandemic). Small business owners, who form the majority at the center of the online shopping industry, are constantly collecting policy changes and market trend information to overcome these problems and use them for marketing and other sales activities in order to overcome these problems and continue to grow. Objective and refined information that is more closely related to the business is also needed. Therefore, in this paper, through the collection and analysis of big data information, which is the core technology of digital transformation, key variables are set in product classification, sales trends, consumer preferences, and review information of online shopping malls, and a method of using them for competitor comparison analysis and business sustainability evaluation has been prepared and we would like to propose it as a service. If small and medium-sized businesses can benchmark competitors or excellent businesses based on big data and identify market trends and consumer tendencies, they will clearly recognize their level and position in business and voluntarily strive to secure higher competitiveness. In addition, if the sustainable growth of the online shopping mall operator can be confirmed as an indicator, more efficient policy establishment and risk management can be expected because it has an improved measurement method.

• Information Systems Review
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• v.22 no.4
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• pp.75-92
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• 2020

As population and generation structures change, more and more customers tend to avoid facing relation due to the development of information technology and spread of smart phones. This phenomenon consists with efficiency and immediacy, which are the consumption patterns of modern customers who are used to information technology, so offline network-oriented distribution companies actively try to switch their sales and services to untact patterns. Recently, untact services are boosted in various fields, but beauty products are not easy to be recommended through untact services due to many options depending on skin types and conditions. There have been many studies on recommendations and development of recommendation systems in the online beauty field, but most of them are the ones that develop recommendation algorithm using survey or social data. In other words, there were not enough studies that classify segments based on user information such as skin types and product preference. Therefore, this study classifies customer segments using machine learning technique K-prototypesalgorithm based on customer information and search log data of mobile application, which is one of untact services in the beauty field, based on which, untact marketing strategy is suggested. This study expands the scope of the previous literature by classifying customer segments using the machine learning technique. This study is practically meaningful in that it classifies customer segments by reflecting new consumption trend of untact service, and based on this, it suggests a specific plan that can be used in untact services of the beauty field.