• Journal of Fashion Business
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• v.24 no.3
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• pp.40-50
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• 2020

The home furnishing and living market is growing because of the increasing interest of consumers in living spaces. In this trend, global fashion companies are seeking to increase sales by expanding their businesses by launching their own home lines or brands early, taking advantage of the various advantages of each brand. In response, this study was designed to examine the strategies necessary for domestic fashion brands to pursue their business in the future by conducting a case study and characteristics analysis of the living brands of foreign fashion companies in line with the trend of expanding their living-related businesses. The following is an analysis of the characteristics of the living brands of global fashion companies. First of all, utilizing the brand awareness of fashion companies; second, the strength of unique textile designs; and third, the expansion of synergy through the expansion of the business into various fields. Fourth, the lack of diversification in materials suitable for living products; fifth, the lack of information on quality; sixth, the lack of space and contents for living areas. Finally, a living brand strategy of a domestic fashion company was proposed as follows. First, it proposed collaboration with textile design companies and designers; second, it proposed exploring business models through the inclusion of brand licenses; and third, it proposed expanding the planning of living products of private brand by distribution companies.

• Journal of the Korean Society for information Management
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• v.38 no.1
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• pp.71-86
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• 2021

This study attempted to discover the problems related to the increasing book disposal trend within academic libraries by analyzing the disposal status over ten years and interviews with the librarians. The analysis utilized Korea Education and Research Information Service provided disposal information from 2010 to 2019. The academic libraries with more than 2 million books had disposed of the most number of books. This trend led to a distinctive decrease in the books' duplicate copies in terms of the collection composition. The librarians from the organizations, which conducted disposal more than three times and one massive removal within ten years, revealed in the interviews that they discarded many valuable duplicate books. They discussed the importance of digitizing high-value resources and also the limitation imposed by the copyright law. In conclusion, this study pointed out that book disposal can cause changes in the collection composition in the long run and suggested that academic libraries pay attention to these changes. The study also suggested evaluating the discarded books' values to guide the digitization efforts and count the number of books to include digital book use rights.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.10
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• pp.2473-2492
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• 2012

Energy conservation is a vital issue in wireless sensor networks. Recently, employing mobile sinks for data gathering become a pervasive trend to deal with this problem. The sink can follow stochastic or pre-defined paths; however the controlled mobility pattern nowadays is taken more into consideration. In this method, the sink moves across the network autonomously and changes its position based on the energy factors. Although the sink mobility would reduce nodes' energy consumption and enhance the network lifetime, the overhead caused by topological changes could waste unnecessary power through the sensor field. In this paper, we proposed EEDARS, an energy-efficient dual-sink algorithm with role switching mechanism which utilizes both static and mobile sinks. The static sink is engaged to avoid any periodic flooding for sink localization, while the mobile sink adaptively moves towards the event region for data collection. Furthermore, a role switching mechanism is applied to the protocol in order to send the nearest sink to the recent event area, hence shorten the path. This algorithm could be employed in event-driven and multi-hop scenarios. Analytical model and extensive simulation results for EEDARS demonstrate a significant improvement on the network metrics especially the lifetime, the load and the end-to-end delay.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.594-597
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• 2016

Smart agriculture and livestock is one of convergence technology which is combined smart technology based on ICT(Information and Communication Technology) and all processes of agriculture and livestock. Sensor data technology in smart agriculture and livestock is considered with important factor as base technology for measurement and collection of environment condition, management of product quality status. In this paper, Sensor technology and standardization trend for smart agriculture and livstock is investigated. Results of this study can be used as basic data for smart agriulture and livestock standardization which is curently under proecssing at domestic and abroad.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.893-895
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• 2016

Data center has a lot of management efforts for the facility, energy, and efficient usage monitoring. Data center power management is important to make the data center have reliable service and cost-effective business. In this paper, IoT based energy measurements monitoring which gives support to energy consumption analysis including indoor, outdoor temperature condition. This converged information for energy analysis gives various aspects of energy consumption effects. With IoT big data, energy machine learning system can give the relation of energy components and measurements, it is the key information of the quick energy analysis in the just one month data trend for the prediction and estimation.

• Journal of Fashion Business
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• v.27 no.5
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• pp.121-134
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• 2023

With the development of information and communication technology, interest in new educational approaches that can enhance the learning performance of learners with improved information literacy skills is increasing, and universities are actively promoting educational innovation to foster the talents required by society. In the field of fashion studies education, which is closely related to the fashion industry, there is a strong need to develop field-linked educational programs that reflect the trends in the industry and changes in the educational system. The purpose of this study was to introduce industry-coupled problem-based learning (IC-PBL) to the course "Understanding Fashion Consumption Trends" for non-fashion majors to reflect the current needs and strengthen the educational effectiveness of the learners through a survey. A seven-step curriculum (introduction to the class, practitioner's problem, learner's problem analysis, organizing concepts related to variables, information collection and scenario writing, presentation and scenario proposal, and evaluation) not only enhanced learners' understanding of fashion consumption trends and the fashion industry but also greatly amplified learners' satisfaction with the class. The results of the survey showed that the seven-step curriculum was effective in increasing learners' self-directed learning ability, problem-solving ability, and confidence in learning. Self-directed learning ability was stronger than other factors, consistent with the core principle of problem-based learning to empower learners to take the initiative and promote self-directed learning. Each factor analyzed was positively correlated.

• Smart Structures and Systems
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• v.1 no.1
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• pp.1-12
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• 2005

This paper describes the area of intelligent systems research as funded by the Civil and Mechanical Systems (CMS) Division of the National Science Foundation (NSF). With developments in computer science, information technology, sensing and control the design of typical machines and structures by civil and mechanical engineers is evolving toward intelligent systems that can sense, decide and act. This trend toward electro-mechanical design is well-established in modern machines (e.g. vehicles, robots, disk drives) and often referred to as mechatronics. More recently intelligent systems design is becoming an important aspect of structures, such as buildings and bridges. We briefly review recent developments in structural control, including the role that NSF has played in their development, and discuss on-going CMS activities in this area. In particular, we highlight the interdisciplinary initiative on Sensors and Sensor Networks and the Network for Earthquake Engineering Simulation (NEES). NEES is a distributed cyberinfrastructure to support earthquake engineering research, and provides the pioneering NEES grid computing environment for simulation, teleoperation, data collection and archiving, etc.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.2
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• pp.98-108
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• 2022

In this study, social network analysis was performed to compare and analyze changes in domestic tourism trends before and after the outbreak of COVID-19 in a situation where the damage to the tourism industry due to COVID-19 is increasing. Using Textom, a big data analysis service, data were collected using the keywords "travel destination" and "travel trend" based on the collection period of 2019 and 2020, when the epidemic spread to the world and became chaotic. After extracting a total of 80 key words through text mining, centrality was analyzed using NetDraw of Ucinet6, and clustered into 4 groups through CONCOR analysis. Through this, we compared and analyzed changes in domestic tourism trends before and after the outbreak of COVID-19, and it is judged to provide basic data for tourism marketing strategies and tourism product development in the post-COVID-19.

• Asia Pacific Journal of Corpus Research
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• v.2 no.2
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• pp.31-41
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• 2021

This paper makes a quantitative analysis of the diachronic evolution of ancient Chinese vocabulary by constructing and counting a large-scale rough annotated corpus. The texts from Si Ku Quan Shu (a collection of Chinese ancient books) are automatically segmented to obtain ancient Chinese vocabulary with time information, which is used to the statistics on word frequency, standardized type/token ratio and proportion of monosyllabic words and dissyllabic words. Through data analysis, this study has the following four findings. Firstly, the high-frequency words in ancient Chinese are stable to a certain extent. Secondly, there is no obvious dissyllabic trend in ancient Chinese vocabulary. Moreover, the Northern and Southern Dynasties (420-589 AD) and Yuan Dynasty (1271-1368 AD) are probably the two periods with the most abundant vocabulary in ancient Chinese. Finally, the unique words with high frequency in each dynasty are mainly official titles with real power. These findings break away from qualitative methods used in traditional researches on Chinese language history and instead uses quantitative methods to draw macroscopic conclusions from large-scale corpus.

• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.315-320
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• 2023

Covid-19 is rapidly changing the global society. In particular, as the online connected world has become more important in recent years, new communication methods such as VR, AR, and metaverse have emerged as global trends. As social interest in technologies such as metaverse, blockchain, and NFT continues to grow, this study aims to understand the concept of NFT, which is being illuminated as a global trend keyword, and to examine the current status of the global fashion industry. As a result of examining NFT application cases of fashion brands that have grown rapidly since Covid-19, the use of NFT in the global fashion industry can be largely classified into three categories - Collection and Investment Type, Game Type NFT, Marketing and Event Type NFT. Based on this, We expect that this study will be used as basic data to actively utilize NFT, which is still in its infancy, to prepare a plan to revitalize the domestic fashion industry.