• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2019.05a
• /
• pp.165-166
• /
• 2019

Big data analysis is the ability to collect, store, manage and analyze data from existing database management tools. Big data refers to large scale data that is generated in a digital environment, is large in size, has a short generation cycle, and includes not only numeric data but also text and image data. Big data is data that is difficult to manage and analyze in the conventional way. It has huge size, various types, fast generation and velocity. Therefore, companies in most industries are making efforts to create value through the application of Big data. In this study, we analyzed the meaning of keyword using Social Matrix, a big data analysis tool of Daum communications. Also, the theoretical implications are presented based on the analysis results.

• The Journal of Korean Physical Therapy
• /
• v.31 no.2
• /
• pp.67-75
• /
• 2019

Purpose: Patients with brain damage suffer from limitations in performing the activities of daily living (ADL) because of their motor function and visual perception impairment. The aim of this study was to help improve the motor function and visual perception ability of patients with brain damage by providing them with virtual reality-based contents. The usability results of the patients and specialists group were also evaluated. Methods: The ADL contents consisted of living room, kitchen, veranda, and convenience store, similar to a real home environment, and these were organized by a rehabilitation specialist (e.g., neurologist, physiotherapist, and occupational therapist). The contents consisted of tasks, such as turning on the living room lights, organizing the drawers, organizing the kitchen, watering the plants on the veranda, and buying products at convenience stores. To evaluate the usability of the virtual reality-based visual cognitive rehabilitation service, general elderly subjects (n=11), stroke patients (n=7), stroke patients with visual impairment (n=4), and rehabilitation specialists (n=11) were selected. The questionnaires were distributed to the subjects who were using the service, and the subjective satisfaction of individual users was obtained as data. The data were analyzed using SPSS 21.0 software. The general characteristics of the users and the evaluation scores of the experts were analyzed using descriptive statistics. Results: The usability test result of this study showed that the mean value of the questionnaire related to content understanding and difficulty was high, between 4-5 points. Conclusion: The virtual reality rehabilitation service of this study is an efficient service that can improve the function, interest, and motivation of stroke patients.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.14 no.2
• /
• pp.323-330
• /
• 2019

Recently, as the growth of the Internet has led to a rapid increase in the consumption of multimedia such as photographs and moving images, the importance of metadata has been emphasized. In the case of existing metadata, only limited information such as GPS value or focal length according to the format is stored. However, with the development of mobile devices and multimedia acquisition devices, various sensors can be used in the devices. Therefore, this paper describes a method that can store not only the existing metadata format information at the time of multimedia acquisition but also another existing format of metadata such as information of various sensors which is the gyroscope and acceleration sensor of the device. We propose an application program that provides moving location information. The proposed method is expected to provide various applications such as image matching and effective image classification.

• The Korean Journal of Franchise Management
• /
• v.11 no.1
• /
• pp.19-29
• /
• 2020

Purpose - To understand the assessment basis of customers' coffee shop experience and give more practical advices to the franchised coffee shops which are poorly managed in the competitive market, this study identified factors to measure the quality of customer experience and explored the relationship between these factors and customer satisfaction and loyalty. Further, this study analyzed which role self-efficacy played in the structural relationship between the quality assessment factors, satisfaction and loyalty of franchised coffee shops. Research design, data, methodology - The data were collected from respondents who had visited franchised coffee shops within the previous month through online survey. The questionnaires were surveyed from February 11 to February 14, 2019. A total of 318 responses were collected after excluding four of incomplete or uncandid responses. A structural equation modeling approach was used to examine the proposed hypothesis and a confirmatory factor analysis was employed to verify the four dimensions of quality assessment. Results - The findings of this study are as follows. First, the three of quality assessment variables significantly influenced on satisfaction except environmental quality. Second, economic and service quality significantly influenced on self-efficacy but environmental and menu quality didn't. Third, satisfaction significantly influenced on loyalty but not on self-efficacy. Fourth, self-efficacy significantly influenced on Loyalty. Conclusions - This study identified the four dimensions to assess the franchised coffee shop service - menu, environment, service and economic quality and verified these four dimensions are valid as indicators to measure the quality of customers' coffee shop experience. Further, by empirically testing the structural relationships among these quality assessment dimensions, satisfaction, self-efficacy and loyalty, this study provided theoretical foundations to explore the relationship between customer and the franchised stores in restaurant businesses. For the industry, the study findings showed that customers highly appreciated menu and economic quality of the service rather than the stores' interior. This indicate that the franchised coffee shops need to focus more on the basics of coffee such as taste and menu variety and economic value than the decoration of the store, which are often over-invested nowadays.

• The Korean Journal of Franchise Management
• /
• v.10 no.3
• /
• pp.7-12
• /
• 2019

Purpose - This study examines the status of franchises and qualifications for franchising business, examines the franchising qualifications focusing on overseas cases, and suggests policy directions for strengthening the qualifications of franchising business. In order to achieve these purposes, the study reviewed the cases of USA, China, Australia, and United Kingdom franchising business law. Literature Review - According to the Fair Trade Commission, franchise is defined as a transactional relationship in which a franchiser provides certain support and education to franchisees in order to sell their goods and services more effectively. In addition, a franchise is a legally and financially independent business of franchisers and franchisees, and according to the concept of affiliates, it is necessary to define a franchise as a product and service marketing based on close and continuous collaboration. A franchiser can be defined as a company with the ability to develop a franchise system, create sustainable value based on it, and replicate "KNOW-HOW" to sellers. Case Study - This study examined the requirements for establishing a franchiser in the United States, China, Australia, and United Kingdom. In most countries, the requirements of franchisers must be operated for at least one year, which means that education, manual production, and continuity of stores should be checked. Suggestion - Based on Korea's population density and consumption sales index, we propose a screening system that registers through 2 + 1 systems, which require two stores to be operated for more than a year, by dividing Korea's commercial rights into two and a screening system instead of simple registration. In the case of a small franchisors, at least one franchsing retail store must be operated for at least one year, which should be applied to only one brand.

• Journal of Digital Convergence
• /
• v.20 no.4
• /
• pp.617-625
• /
• 2022

This study attempted to compare and analyze metaverse platforms according to their functions. The five metaverse platform was selected and comparatively analyzed through in-depth interviews with experts. As a result of the research, first, Roblox allows you to create and customize your own avatar, provides studio functions for free, and allows you to enjoy private games with friends. Second, Zepeto can create an avatar with one selfie and provides a creative studio function. Third, in Fortnite, it is possible to create in-game characters, purchase and wear items provided in the game, and play games with friends in Creative Mode. Fourth, in Gather Town, networking with users in virtual space is possible, and your own avatar customization and desired virtual space template are provided. Finally, Facebook Horizon participates in the virtual world Horizon with its own avatar that you decorate yourself, and it can function as a world builder, and you can set up a billboard in virtual reality or a virtual store. The value of this study provided a theoretical basis that can be applied to the future industry through the characteristics of the metaverse platform.

• The Research Journal of the Costume Culture
• /
• v.29 no.6
• /
• pp.922-931
• /
• 2021

Recent developments in information and communication technologies (ICT) can be applied in stores, and the number of fashion stores that have introduced and utilized ICT are increasing. By applying a literature review and empirical research, the types of ICT service factors of fashion stores were identified and categorized. The effect of their importance on consumer behavioral intentions was analyzed. Next, using factor analysis on the ICT service factors, five factors were identified and named as follows: smart space services, smart payment services, virtual image services, product information services, and smart access services. The importance of these factors was then analyzed. The importance of each factor and detailed questions was rated above average. After examining the effect of ICT service on behavior intention, issues such as purchase intention, revisit intention, and word of mouth intention were found to have significant influence. This study is meaningful in that it derives the importance factors of ICT services that can be used in fashion stores in a situation where retail techniques become important and expand, and provides marketing strategies related to consumer behavior according to detailed factors. With retail tech becoming more important and expanding, it is necessary to provide various services that consumers value by utilizing ICT in fashion stores. Considering the results of this study, ICT technology and services of various fashion stores can be effectively utilized and retail tech utilization performance can be improved.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.25 no.4
• /
• pp.32-48
• /
• 2022

This study presented a spatial data serialization technique that can efficiently store and transmit large amounts of spatial data for precision road maps was designed and implemented. For efficient serialization, a binary spatial data structure is defined, and a coordinate value encoding technique without loss of information is designed using the Zigzag-Z-order curve. The spatial data serialization technique designed for precision road maps was tested, and the data size and encoding/decoding speed after encoding were compared with Protocol buffer and Geobuff. As a result, it was confirmed that the designed serialization method was excellent in data weight reduction performance and encoding speed. However, the decoding speed was inferior to other serialization techniques in linestring and polygon type spatial data. Through this study, it was confirmed that spatial data can be efficiently encoded, stored, and transmitted using binary serialization techniques.

• Advances in concrete construction
• /
• v.12 no.5
• /
• pp.377-389
• /
• 2021

Reinforced concrete vertical silos are universal structures that store large amounts of granular materials. Due to the asymmetric structure, heavy load, uneven storage material distribution, and the difference between the storage volume and the storage material bulk density, the corresponding earthquake is very complicated. Some scholars have proposed the calculation method of horizontal forces on reinforced concrete vertical silos under the action of earthquakes. Without considering the effect of torsional effect, this article aims to reveal the expansion factor of the silo group considering the torsional effect through experiments. Through two-way seismic simulation shaking table tests on reinforced concrete column-supported group silo structures, the basic dynamic characteristics of the structure under earthquake are obtained. Taking into account the torsional response, the structure has three types of storage: empty, half and full. A comprehensive analysis of the internal force conditions under the material conditions shows that: the different positions of the group bin model are different, the side bin displacement produces a displacement difference, and a torsional effect occurs; as the mass of the material increases, the structure's natural vibration frequency decreases and the damping ratio Increase; it shows that the storage material plays a role in reducing energy consumption of the model structure, and the contribution value is related to the stiffness difference in different directions of the model itself, providing data reference for other researchers; analyzing and calculating the model stiffness and calculating the internal force of the earthquake. As the horizontal side shift increases in the later period, the torsional effect of the group silo increases, and the shear force at the bottom of the column increases. It is recommended to consider the effect of the torsional effect, and the increase factor of the torsional effect is about 1.15. It can provide a reference for the structural safety design of column-supported silos.

• Journal of Engineering Education Research
• /
• v.26 no.4
• /
• pp.22-35
• /
• 2023

As information and communication technology has developed remarkably, it has become possible to analyze various types of large-volume data generated at a speed close to real time, and based on this, reliable value creation has become possible. Such big data analysis is becoming an important means of supporting decision-making based on scientific figures. The purpose of this study is to develop a big data analysis tool that can analyze large amounts of data generated through engineering education. The tasks of this study are as follows. First, a database is designed to store the information of entries in the National Creative Capstone Design Contest. Second, the pre-processing process is checked for analysis with big data analysis tools. Finally, analyze the data using the developed big data analysis tool. In this study, 1,784 works submitted to the National Creative Comprehensive Design Contest from 2014 to 2019 were analyzed. As a result of selecting the top 10 words through topic analysis, 'robot' ranked first from 2014 to 2019, and energy, drones, ultrasound, solar energy, and IoT appeared with high frequency. This result seems to reflect the current core topics and technology trends of the 4th Industrial Revolution. In addition, it seems that due to the nature of the Capstone Design Contest, students majoring in electrical/electronic, computer/information and communication engineering, mechanical engineering, and chemical/new materials engineering who can submit complete products for problem solving were selected. The significance of this study is that the results of this study can be used in the field of engineering education as basic data for the development of educational contents and teaching methods that reflect industry and technology trends. Furthermore, it is expected that the results of big data analysis related to engineering education can be used as a means of preparing preemptive countermeasures in establishing education policies that reflect social changes.