• The Journal of the Korea Contents Association
• /
• v.19 no.5
• /
• pp.553-561
• /
• 2019

In this study, the method of quality measurement for the statistical usefulness of de-identified data was examined in terms of prediction accuracy by statistical modeling. In the era of the 4th industrial revolution, effective use of big data is essential to innovation through information and communication technology, but personal information issues are constrained to actively utilize big data. In order to solve this problem, de-identification guidelines have been established and the possibility of actual re-identification of personal information has become very low due to the utilization of various de-identification methods. On the other hand, strong de-identification can have side effects that degrade the usefulness of the data. We have studied the quality of statistical usefulness of the de-identified data by KLT model which is a representative de-identification method, A case study was conducted to see how statistical accuracy of prediction is degraded by de-identification. We also proposed a new measure of data usefulness of the de-identified data by quantifying how much data is added to the de-identified data to restore the accuracy of the predictive model.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.5
• /
• pp.377-383
• /
• 2022

In today's modern society, along with the 4th industrial revolution, digitalization is rapidly progressing from everyday life to the entire industry. In the field of education, support is being provided at the government level, such as the dissemination of digital devices to create a digital educational environment, and the use of digital devices is remarkably increasing at the level of individual students as well. In the fashion design education field of universities, the number of students using tablet PCs and applications such as iPads is increasing and the scope of its application is expanding, from design concept setting and idea generation to design sketches in the early fashion design process, as well as diagramming and portfolio work. For fashion design sketching, it was found that students mainly use Procreate or Clip Studio applications with iPad. Therefore, by identifying the differentiated functions and characteristics of Procreate and Clip Studio, and examining design sketch examples using them, the possibility of effective use of iPad applications was presented and problems were also examined. Through this study, it is intended to provide basic data for fashion design education that can increase students' interest and achievement by using the iPad application.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.1
• /
• pp.697-702
• /
• 2023

Recently, with the introduction of drones, a core technology of the 4th industrial revolution, various convergence education using drones is being conducted in school education sites. In particular, drone theory and practice education is being conducted in connection with free semester classes and career exploration. The drone convergence education program has higher learner satisfaction than simple demonstration and practice education, and the learning effect is high due to direct practical experience. However, since practical education is being conducted for a large number of learners, it is impossible to restrict and control the flight of a large number of drones in a limited place. In this paper, we propose a monitoring system that allows the instructor to monitor multiple drones in real time and learners to recognize collisions between drones in advance when multiple drones are operated, focusing on education operated in schools. The communication module used in the experiment was equipped with GPS in Murata LoRa, and the server and client were configured to enable monitoring based on the location data received in real time. The performance of the proposed system was evaluated in an open space, and it was confirmed that the communication signal was good up to a distance of about 120m. In other words, it was confirmed that 25 educational drones can be controlled within a range of 240m and the instructor can monitor them.

• Convergence Security Journal
• /
• v.22 no.5
• /
• pp.69-80
• /
• 2022

Now that climate change and food resource security are becoming issues around the world, smart farms are emerging as an alternative to solve them. In addition, changes in the production environment in the primary industry are a major concern for people engaged in all primary industries (agriculture, livestock, fishery), and the resulting food shortage problem is an important problem that we all need to solve. In order to solve this problem, in the primary industry, efforts are made to solve the food shortage problem through productivity improvement by introducing smart farms using the 4th industrial revolution such as ICT and BT and IoT big data and artificial intelligence technologies. This is done through the public and private sectors.This paper intends to consider the minimum requirements for the smart farm data collection system for the development and utilization of smart farms, the establishment of a sustainable agricultural management system, the sequential system construction method, and the purposeful, efficient and usable data collection system. In particular, we analyze and improve the problems of the data collection system for building a Korean smart farm standard model, which is facing limitations, based on in-depth investigations in the field of livestock and livestock (pig farming) and analysis of various cases, to establish an efficient and usable big data collection system. The goal is to propose a method for collecting big data.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.05a
• /
• pp.171-173
• /
• 2022

The 4th industrial revolution technology is developing people's lives more efficiently. GIS provided on the Internet services such as traffic information and time information makes people getting more quickly to destination. National geographic information service(NGIS) and each local government are making basic data to investigate SOC accessibility for analyzing optimal point. To construct the shortest distance, the accessibility from the starting point to the arrival point is analyzed. Applying road network map, the starting point and the ending point, the shortest distance, the optimal accessibility is calculated by using Dijkstra algorithm. The analysis information from multiple starting points to multiple destinations was required more than 3 steps of manual analysis to decide the position for the optimal point, within about 0.1% error. It took more time to process the many-to-many (M×N) calculation, requiring at least 32G memory specification of the computer. If an optimal proximity analysis service is provided at a desired location more versatile, it is possible to efficiently analyze locations that are vulnerable to business start-up and living facilities access, and facility selection for the public.

• Science of Emotion and Sensibility
• /
• v.26 no.3
• /
• pp.69-82
• /
• 2023

High-tech sensibility textile and fashion, in which consumers' emotions and various textile and fashion technologies are converged, is an important industrial group. It is important to develop the ability to apply in practice by gathering the creative by understanding other fields and exchanging ideas through interdisciplinary collaboration in the field of emotional engineering. Through interdisciplinary research and collaboration, talent must be nurtured of individuals who would lead the era of the 4^th Industrial Revolution with the ability to empathize with others as well as the creative convergence-type intellectual ability necessary for the rapidly changing society. To determine content-creation methods, basic research is conducted. Additionally, this study investigates on the current status and educational process of the emotional textile-fashion industry worldwide. To nurture talents in the textile and fashion sensibility science, the basic contents are created to manage the knowledge that delivers sensibility science and the ICT related to this field, as well as in the intensive, PB-style conceptual design based on sensibility. The process from derivation of consumer emotion analysis and product development can be experienced through smart kit practice. Moreover, various methods are developed to set up intellectual property rights generated while developing ICT convergence products as start-ups. The study also covers new knowledge rights to develop emotional textile fashion.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.1
• /
• pp.71-79
• /
• 2024

ChatGPT, an interactive artificial intelligence (AI) chatbot developed by Open AI in the U.S., gaining popularity with great repercussions around the world. Some academia are concerned that ChatGPT can be used by students for plagiarism, but ChatGPT is also widely used in a positive direction, such as being used to write marketing phrases or website phrases. There is also an opinion that ChatGPT could be a new future for "search," and some analysts say that the focus should be on fostering rather than excessive regulation. This study analyzed consciousness about ChatGPT for college students through a survey of their perception of ChatGPT. And, plagiarism inspection systems were prepared to establish an education support model using ChatGPT and ChatGPT. Based on this, a university education support model using ChatGPT was constructed. The education model using ChatGPT established an education model based on text, digital, and art, and then composed of detailed strategies necessary for the era of the 4th industrial revolution below it. In addition, it was configured to guide students to use ChatGPT within the permitted range by using the ChatGPT detection function provided by the plagiarism inspection system, after the instructor of the class determined the allowable range of content generated by ChatGPT according to the learning goal. By linking and utilizing ChatGPT and the plagiarism inspection system in this way, it is expected to prevent situations in which ChatGPT's excellent ability is abused in education.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.5
• /
• pp.577-584
• /
• 2020

This study examined the effects of management consultant competency (ability, professionalism) and consulting service quality (reliability, assurance) on organizational creativity and innovation. The research target was companies with experience in consulting, and sample data from 62 surveyed companies (80 persons) were analyzed using SPSS 25.0 and Smart PLS 2.0 based on statistics to perform frequency analysis, reliability, and feasibility analysis. The summary of the research results is as follows. First, it has been verified that consultant competency (ability, professionalism) and consulting service quality (reliability, assurance) had positive impacts. Second, service reliability and assurance, which are components of consulting service quality, significantly affected consulting performance (organizational creativity, innovation). Taken together, management consulting has a positive effect on creativity and innovation in an organization and ultimately contributes to improvement of the business performance of the company, depending on the competency of the consultant and quality of the services provided. Based on the results of this study, we intend to improve the quality of SME consulting by providing theoretical and practical implications as well as contribute to the growth of SMEs requiring innovation in the era of the 4th Industrial Revolution.

• Informatization Policy
• /
• v.24 no.3
• /
• pp.27-41
• /
• 2017

With the growing interest in the 4th industrial revolution and big data, various policies are being developed for facilitating the use of public open big data, which are leading to a wide range of added values created from use of such data. Despite the expanded requirements for public data disclosure and the legal system improvement, however, the use of public open big data is still limited. According to the literature review, there are studies on policy proposals for the government guiding directions for public open big data, but there is a lack of studies that handle the issue from the users' viewpoint. Therefore, this study aims to analyze the public open data ecosystem in Korea and to analyze public open big data through interviews with the providers (the government and public institutions) and users (private sector companies and citizens). This way, the study finds inhibition factors and facilitation factors, draws out issues and suggests solutions through a causal relationship analysis between each factor. Being a research on finding measures for facilitating both public big data release and use, this study has theoretical implications. In the meanwhile, the derived issues and alternatives provide practical implications also for stakeholders who are planning to facilitate release and use of public open big data.

• 한국사회정책
• /
• v.25 no.1
• /
• pp.45-70
• /
• 2018

After critically assessing the effectiveness of basic income as an alternative to the existing social security system, this article argues that basic income is fundamentally incapable of providing an adequate protection for those in social risks or welfare needs. The proponents of basic income often claims that technological innovations will lead to the end of work and thus that basic income will be required for all citizens in the future. Moreover, they emphasize that labor market flexibility is making a large segment of work forces unstable working poor, what is often called the precariat who are not effectively protected by the existing social insurance programs. For them, basic income is the best source of social protection for the precariat of today and the citizens in the future, freeing them from the necessity of having a paid work. This article, however, points out the ineffectiveness of basic income as social protection due to its unustainably high cost that comes from unconditional benefit provisions regardless of levels of income, social risks, and welfare needs. Also it challenges the simplified 'Luddites' image of workless society in the future, arguning that techological unemployment can be overcome by new job creation as seen in Silicon Valley and job sharing following working time reduction. It maintains that it is more cost-effective and reliable to strengthen the welfare state based on the principle of reciprocity that aims at 'universal sufficient protection for those in social risks and welfare needs.'