• Journal of the Korea Society of Computer and Information
• /
• v.25 no.3
• /
• pp.155-162
• /
• 2020

Among the fourth industrial revolution technologies, products related to healthcare using IoT and sensors are currently being developed. We design and develop an interaction system based on user standing posture recognition using multi-channel large area pressure sensors in this paper. To this end, first of all we investigate major sensor markets of the sensor industry and review technology trends and the current and future of smart healthcare. Based on this survey, we examine and compare cases developed at home and abroad for multi-channel large-area pressure sensors, which are key components of the system that we want to develop. We recognize the standing posture status of the user through the developed system and experiment with how effective it is actually in user posture calibration and apply the research results to various healthcare devices' medical fields based on this.

• Journal of Information Technology Applications and Management
• /
• v.27 no.1
• /
• pp.75-95
• /
• 2020

Smart Factory is the decisive factor of the Fourth Industrial Revolution and is a key field for national competitiveness. Until now, most smart factory research has focused on policy and technology. In order to spread more technology, it is necessary to study what factors influence the adoption of smart factory technology in the enterprise. Nevertheless, little research has been done. In this study, based on the UTAUT (Unified Theory of Acceptance and Use of Technology), which has been proved through many years of research, I have studied the factors that influence the acceptance of smart factory technology. As a result of research, performance expectancy, social influence, and facilitating conditions of UTAUT model had a positive(+) effect on behavior intention. Their relationship of influence was in the order of performance expectancy (β = .459)> facilitating conditions (β = .212)> social influence (β = .210). However, it was found that the effort expectancy did not affect the behavior intention, and the impact of the newly perceived risk on the behavior intention to use was not confirmed. The main reason is that the acceptance of smart factory technology is not a matter of personal interest but a matter of organizational choice. Trust, on the other hand, was found to be partially mediated between performance expectancy, facilitating conditions, social influence and behavior intention. For many years, many researchers have validated the UTAUT, which has been validated through various empirical studies. It is academically meaningful to begin the study of factors affecting the acceptance of smart factory technology in terms of the UTAUT. In practice, it is necessary to provide SME employees with more information related to the introduction of smart factories, to provide advanced services related to the establishment of smart factories, and to establish a standardized model for each industry.

• Journal of the Korean Academic Society of Industrial Cluster
• /
• v.1 no.1
• /
• pp.47-66
• /
• 2007

The progress of digital revolution leads to technology and industry infusion which make new products and new commodity markets in the existing industries. Under the circumstance of new innovation patterns in industries and globalization of the world, innovation firms adapt different evolution processes for different business situations. Technological innovation enhances the competitiveness of fins in the business world. This paper shows the researches on technological innovation which make constant economy growth in the knowledge based economy. And this paper also suggests the policy on technological innovation for the future growth of society. Main focus of this paper are as follows. First, the theoretical survey on technological innovation is reviewed. Second, the program and the supporting system for technological innovation in the USA and Europe are investigated. Third, the situation and problems of Korea is analysed. Fourth, strategy and suggestions on the development of technological innovation in the 21st century knowledge based economy is suggested through the window of cluster and regional economy development.

• Informatization Policy
• /
• v.27 no.2
• /
• pp.3-19
• /
• 2020

Artificial intelligence(AI) and blockchain are developing as the core technology leading the Fourth Industrial Revolution. However, AI is still showing limitations in securing and verifying data and explaining the evidence for the results, and blockchain also has some drawbacks such as excessive energy consumption and lack of flexibility in data management. This study analyzed technological limitations of AI and blockchain and convergence trends to overcome them, and finally suggested ways to improve Korea's related policies. Specifically, in terms of R&D reinforcement, we proposed 1) mid- and long-term AI /blockchain convergence research at the national level and 2) blockchain-based AI data platform development. In terms of creating an innovative ecosystem, we also suggested 3) development of AI/blockchain convergence applications by industry, and 4) Start-up support for developing AI/blockchain convergence business models. Lastly, in terms of improving the legal system, we insisted that 5) widening the application of regulatory sandboxes and 6) improving regulations related to privacy protection is necessary.

• The Journal of the Korea Contents Association
• /
• v.17 no.11
• /
• pp.39-49
• /
• 2017

Opening of a new economic paradigm in the transition to the Fourth Industrial Revolution, the human capital engaged in industry or occupation based on individual creativity is called creative workers. The workers of this kind regards 'quality of place', known as amenity, as an important factor in choosing a residential area. This paper analyzes how the effect of city amenity influences on residential preference of creative workers in comparison with production workers. First, as of 2014, the total number of creative workers are 5.73 million (23.2% of the total workforce), and more than half (58.6%) are concentrated in Seoul and Gyeonggi area. Second, the excess residence rate of the creative workers (number of residents/number of jobs) is high in metropolitan areas. Third, when comparing with workers in productions sector, the selection of residence location for creative workers are significantly influenced by certain city amenities such as education. The outcome of analysis is expect to be utilized as a preliminary work for making policies which promotes number of creative workers at the regional level.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.11
• /
• pp.676-682
• /
• 2017

The purpose of this study is to suggest the elements that need to be taken into consideration in urban planning to determine the optimal location of education and research facilities based on the knowledge-based industry in a large Korean city. In this study, we conducted an analysis and evaluation of the locational conditions and elements of education and research facilities as the important functions for regional economic revitalization and urban balance development. For this purpose, the relevant concepts and patterns of education and research facilities were reviewed as a theoretical research endeavor, and their locational conditions and elements were surveyed based on the existing research. The planning directions and some lessons for determining the location of the facilities are suggested through the analysis of the evaluation method according to the selection of the location. The results of this study are expected to act as guidelines for the optimal location selection of education and research facilities in large Korean cities in the era of the fourth industrial revolution.

• The Journal of the Korea Contents Association
• /
• v.18 no.3
• /
• pp.205-214
• /
• 2018

As the paradigm of the Fourth Industrial Revolution is expanding, VR devices and their contents industry are drawing more and more attention as the digital devices of the next generation. Of the realms of VR contents, $360^{\circ}$ 3D videos are receiving the most attention in the field of media, and they are being utilized by Google as educational contents. As such, this research analyzes actual condition of use and motivation of using corresponding contents through survey of $360^{\circ}$ 3D video users. Results show that the most utilized platform is Youtube, and the genres which the respondents have used or are willing to use turned out to be Games and Movies.

• Journal of the Korea Convergence Society
• /
• v.11 no.11
• /
• pp.41-46
• /
• 2020

The start of the Fourth Industrial Revolution has brought about various changes in the domestic industry in general, and smart factories have spread to companies in the fields of production, manufacturing and logistics, and they are using automation equipment. Especially in the field of logistics automation, AGVs are widely used, and most of them use the line guidance system, which is the traditional AGV drive system. In addition, the demand for AGV system developers, system operators and managers, and maintenance personnel is increasing, and the installation of systems for education is expensive and requires a large space to utilize. It is a situation where systematic education is difficult. In this paper, we propose a virtual simulation-based AGV distance education model for smooth practice of trainees. The proposed model consisted of a model that can drive the AGV by analyzing video information, instead of the line guidance method that is the conventional technology. As a result of self-diagnosis evaluation, it was confirmed that the experimental group through online education had an average satisfaction level of 0.65 higher than the control group using existing equipment, and that it could be used in an online education environment.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.30 no.2
• /
• pp.279-286
• /
• 2020

On February 4, 2020, the Personal Information Protection Act ("Privacy Act") was amended to facilitate the convergence and utilization of data, a key resource of the Fourth Industrial Revolution, and to support the development of the data industry. As the scope of the law applies to telecommunications operators, financial operators, and personal information processing providers, the scope of related dispute settlement is expected to increase. Therefore, this paper first introduces the role and function of the Personal Information Dispute Committee and the institutional standards for personal information dispute mediation, and researches the roles and issues that the Personal Information Dispute Mediation Committee should play in accordance with the revision of the Data 3 Law. In this study, For efficient operation of personal information dispute mediation, expert deliberation by field, new adjustment criteria for new industrial technologies, way to secure business continuity between the Personal Information Dispute Committee and the Personal Information Committee, Secure the link between the mediation decision and courts, and Suggested the strengthening of the operational standards for collective dispute mediation.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.17 no.3
• /
• pp.167-173
• /
• 2017

With increased interest in the fourth industrial revolution represented by artificial intelligence, it has been very active to utilize bigdata and machine learning techniques in almost areas of society. Also, such activities have been realized by development of forecasting systems in various applications. Especially in the movie industry, there have been numerous attempts to predict whether they would be success or not. In the past, most of studies considered only the static factors in the process of prediction, but recently, several efforts are tried to utilize realtime social bigdata produced in SNS. In this paper, we propose the prediction technique utilizing various feedback information such as news articles, blogs and reviews as well as static factors of movies. Additionally, we also experimentally evaluate whether the proposed technique could precisely forecast their revenue targeting on the relatively successful movies.