• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.102-110
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• 2010

Central and regional government agencies collaborate to monitor and report on the quality of New Zealand's groundwater resources. Measurements from around 1,100 water wells representing the main economic aquifers are collected each season and used to prepare regional or national reports on its state, and trends over time. New Zealand's groundwater quality is of a relatively high standard by international standards, but is influenced by human activities and can also be affected by naturally occurring degrading processes.

• Archives of design research
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• v.19 no.1 s.63
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• pp.303-316
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• 2006

Eclecticism, fusing and mixing heterogeneous and contrasting elements to create a new awareness of beauty, is based on diversity and pluralism, and as such fits well with the demand of the contemporaries who pursue individualization and diversification, which explains the current vogue for Eclecticism. As a precondition to grasp eclectic styles that are expressed in modern textile design, this study looks into the characteristics of eclecticism in modern art and applies the insight so gained to textile design in an attempt to understand transformations of modern textile design by considering the aesthetic effects and plastic characteristics suggested by the new trend. The result of our research indicates that the trends that characterize modern textile design can be divided into three categories as follows: 1) Mixing of high culture and low culture through cultural fusion, 2) Fusion of differing sensitivities through blending of times, 3) Blending of regional characteristics through geographical mixing. Characteristics of textile designs as influenced by these trends can be summarized as: 1) a conversion in the way textile designs are viewed, 2) increasing emphasis on the playfulness of representation and 3) multi-cultural expressions. In short, eclecticism of textile design represents a phase of modern society that is increasingly oriented toward multifacetedness and points to a direction for a new possibility of future textile designs, necessitating a continuous research along this line.

• Archives of design research
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• v.16 no.3
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• pp.299-308
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• 2003

The existing market patterns and social structures have been changed according to the trends of digital and informational society of the 21st century. The characteristics of the consumption market is that the balance of power moves from enterprises to consumers. As consumers’ demands are diversified according to life quality enhancement, many products are based on main aspects of human experiences, emotions and values. Standardized functions and services of products cannot capture consumers to a great extent any more. A notable aspect is that consumers want products or services that can oner movable experiences. Future products must appeal to emotion, not to reason of consumers. Now consumers purchase styles, experiences and stories contained in products, not products themselves. That is, the key to decision to purchase products is the satisfaction of emotional values. Users'emotions diversified due to the development of industrial designs demand the development of new designs that can represent new trends of users. User-centered values imply the change of people's purchasing trends. This indicates that there is a need to change physical aspects such as price or functions into individual emotions and characters. In addition, studies are required on design concepts to pursue new emotional values, apart from functional type designs. It is time for designers to suggest initiative and rational directions for this changing era.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.178-185
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• 2021

The emergence of social networks has led to the flourishing of a new golden era of branding, which is a challenge for companies due to the need for creative positioning of companies with an emphasis on building trust and loyalty to the brand. Consumers are becoming more demanding and due to a wide range of products in different markets, make demands that are more stringent on companies. The goal of this article was to study the main trends of branding and advertising on social networks to develop a new approach to brand promotion. Methodology. The quantitative and qualitative research design was used to determine the main trends in branding and advertising on social networks. The methodology included the following methods: 1) analysis of the relationship between brand value and brand content strategy, 2) content analysis of the content of companies in social networks on the example of 10 world-famous brands with the highest value. The results allowed forming the criteria of effective content and communication: simplicity of content and simplicity of communication, lack of direct advertising of products, emphasis on global socio-economic problems and social orientation, unobtrusive communication, content creativity, indirect information about the product or work, the history of the company's development through various tools. The main content strategies of brands are defined: storytelling strategy; strategy of informing about the history of the company's development; entertainment and information strategy; strategy of joint interaction with the audience through the involvement of wellknown influencers or users of products. The theoretical and practical value of the results is confirmed by the conceptualization of the main content strategies of world-famous brands, which are pioneers in new ways to build relationships with users through social networks. The research proposes to use a customer-oriented approach to brand promotion. This means studying consumer behavior and predicting possible changes in behavior, which determines the level of interaction with the brand, the content strategy of the brand, and its effectiveness.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.3
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• pp.87-95
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• 2018

Recently, with the technological development of artificial intelligence, related market is expanding rapidly. In the artificial intelligence technology field, which is still in the early stage but still expanding, it is important to reduce uncertainty about research direction and investment field. Therefore, this study examined technology trends using text mining and topic modeling among big data analysis methods and suggested trends of core technology and future growth potential. We hope that the results of this study will provide researchers with an understanding of artificial intelligence technology trends and new implications for future research directions.

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.1
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• pp.148-158
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• 2018

This study analyzes recent trends in fashion retailing instigated by the fourth industrial revolution and approaches the trends in terms of the convergence of big data and artificial intelligence. The findings are as below. First, companies like 'Edited' and 'Stylumia' offer solutions that support the strategic decisions of fashion brands and fashion retailers by analyzing big data using artificial intelligence. Second, the convergence of big data and artificial intelligence scales personalized service on the web as examples of 'Coded Couture', 'StitchFix', and 'Thread'. Third, the insights gained from artificial intelligence and big data help create new fashion retailing platforms such as 'Botshop' and 'Lyst'. Last, artificial intelligence and big data assist with design. 'Ivyrevel' designs digital fashion, assisted by a macroscopic perspective on fashion trends, market and consumers through the analysis of big data. The Fourth Industrial Revolution brings changes across all industries that will likely accelerate. The fashion industry is also undergoing many changes with advancements in scientific technology. The convergence of big data and artificial intelligence will play a key role in the future of fast-moving industry like fashion, where fickle tastes of consumers are the main drivers.

• Electronics and Telecommunications Trends
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• v.33 no.5
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• pp.121-134
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• 2018

The Von Neumann based architecture of the modern computer has dominated the computing industry for the past 50 years, sparking the digital revolution and propelling us into today's information age. Recent research focus and market trends have shown significant effort toward the advancement and application of artificial intelligence technologies. Although artificial intelligence has been studied for decades since the Turing machine was first introduced, the field has recently emerged into the spotlight thanks to remarkable milestones such as AlexNet-CNN and Alpha-Go, whose neural-network based deep learning methods have achieved a ground-breaking performance superior to existing recognition, classification, and decision algorithms. Unprecedented results in a wide variety of applications (drones, autonomous driving, robots, stock markets, computer vision, voice, and so on) have signaled the beginning of a golden age for artificial intelligence after 40 years of relative dormancy. Algorithmic research continues to progress at a breath-taking pace as evidenced by the rate of new neural networks being announced. However, traditional Von Neumann based architectures have proven to be inadequate in terms of computation power, and inherently inefficient in their processing of vastly parallel computations, which is a characteristic of deep neural networks. Consequently, global conglomerates such as Intel, Huawei, and Google, as well as large domestic corporations and fabless companies are developing dedicated semiconductor chips customized for artificial intelligence computations. The AI Processor Research Laboratory at ETRI is focusing on the research and development of super low-power AI processor chips. In this article, we present the current trends in computation platform, parallel processing, AI processor, and super-threaded AI processor research being conducted at ETRI.

• Korean Institute of Interior Design Journal
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• v.21 no.3
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• pp.76-86
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• 2012

21st century has different characters from 20th century which was an era of machine and rationality based on the industrial revolution. With the advent of the digital revolution, it became an era of pluralism, culture, and emotion. The digital technology made it possible to connect the whole world together in real time and brought about the entirely new notion of time and space. It also dramatically altered the world view. Now we have a different set of social and cultural values from the past. This paper researched the influences of these social and cultural changes on public designs. The leading trends of public designs were analyzed and the successful cases were studied. The main research methodologies were the document review and the instrumental case study. The major social & cultural paradigms of a present era were classified as 'pluralism', 'digital & information revolution', 'human-centered value (against machine-centered value of 20th century)', and 'organic world view'. Each of the classified paradigms was analyzed more to find out the influences on the various trends of public designs. 'Pluralism' has influence on 'experiential public design', 'community art', and 'public design of local values'. 'Digital & information revolution' has influence on 'content-centered public design', 'smart public design', 'immaterial public design', and 'performance in public design'. 'Human-centered value' has influence on 'universal design approach in public design', and 'emotional public design'. 'Organic world view' has influence on 'sustainable public design', and 'ecological public design'.

• The Journal of Health Technology Assessment
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• v.6 no.2
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• pp.95-99
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• 2018

As technologies develop, the digital health sector is gradually expanding. Internationally, the global summit for Digital Health named Global Digital Health Partnership (GDHP) was launched in 2018. Many countries are participating in GDHP and share their policy experiences on digital health and find the ways to cooperate with participating countries (13 countries, including South Korea, and Hong Kong). This article reviewed the international trends in digital health policy environment and evidence assessment focusing on GDHP activities, and derived implications for health technology assessment of digital health. Consequently, to assess the intervention effects of digital health is very complex and the assessment should be considered multidimensional aspects (social, clinical, and technical). In addition the patient experience should be assessed qualitatively. Health technology assessment (HTA) should assess the effect of digital health policies to changes in health care systems resulting from the application of advanced technologies related to the 4th Industrial Revolution. Digital health is also related to new HTA, HTA of existing technologies, and R&D on the promising health technology. Therefore, it is necessary to review the trends of the technology's management policy consistently through the HTA of digital health.

• The Research Journal of the Costume Culture
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• v.29 no.4
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• pp.538-553
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• 2021

As interest in the sustainable fashion industry continues to increase along with climate issues, it is necessary to identify research trends in sustainable fashion and seek new development directions. Therefore, this study aims to analyze research trends on sustainable fashion. For this purpose, related papers were collected from the KCI (Korean Citation Index) and Scopus, and 340 articles were used for the study. The collected data went through data transformation, data preprocessing, topic modeling analysis, core topic derivation, and visualization through a Python algorithm. A total of eight topics were obtained from the comprehensive analysis: consumer clothing consumption behavior and environment, upcycle product development, product types by environmental approach, ESG business activities, materials and material development, process-based approach, lifestyle and consumer experience, and brand strategy. Topics were related to consumption, production, and education of sustainable fashion, respectively. KCI analysis results and Scopus analysis results derived eight topics but showed differences from the comprehensive analysis results. This study provides primary data for exploring various themes of sustainable fashion. It is significant in that the data were analyzed based on probability using a research method that excluded the subjective value of the researcher. It is recommended that follow-up studies be conducted to examine social trends.