• Journal of the Korea Institute of Building Construction
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• v.9 no.4
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• pp.103-109
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• 2009

The construction industry has the highest death rate related to safety accidents of any industry. Furthermore, in contrast to other industries, where the death rate related to safety accidents has been steadily declining, both the death toll and the number of accidents in the construction industry have been on the rise. Construction accidents occur when various risks increase in an intertwined way to reach a tipping point; a moment when such factors cannot be tolerated any longer Conventional safety management methods have restrictions in terms of their ability to fully prevent all types of safety accidents. This research considers ways in which USN technology can be applied to safety management on a construction site, and derives a method of applying USN technology for safety management monitoring. The tasks related to safety management on construction sites, as well as the occurrence of accidents, are first analyzed. By analyzing the characteristics of construction accidents, the factors that must be a priority and the factors that can be a lower priority are derived. Finally, the configuration of a monitoring system for safety management on a construction site to which USN technology is applied is presented. It is expected that safety accidents can be prevented from occurring on construction sites by applying this cutting-edge USN technology.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.81-88
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• 2022

This study is to investigate the perception of domestic appraisers about the possibility of using artificial intelligence (AI) and related risks from the use of AI in the appraisal industry. We conducted a mobile survey of evaluators from February 10 to 18, 2022. We collected survey data from 193 respondents. Frequency analysis and multiple response analysis were performed for basic analysis. When AI is used in the appraisal industry, factor analysis was used to analyze various types of risks. Although appraisers have a positive perception of AI introduction in the appraisal industry, they considered collateral, consulting, and taxation, mainly in areas where AI is likely to be used and replaced, mainly negative effects related to job losses and job replacement. They were more aware of the alternative risks caused by AI in the field of human labor. I was very aware of responsibilities, privacy and security, and the risk of technical errors. However, fairness, transparency, and reliability risks were generally perceived as low risk issues. Existing studies have mainly studied analysis methods that apply AI to mass evaluation models, but this study focused on the use and risk of AI. Understanding industry experts' perceptions of AI utilization will help minimize potential risks when AI is introduced on a large scale.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.1-8
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• 2022

Although the OTT industry is an area that needs urgent policy response as a priority area under the new industry regulatory reform master plan, various issues are occurring due to the lack of related institutional infrastructure. Therefore, this study aims to analyze the policy conflict structure in which regulatory obstacles and delays occur by listening to the opinions of major stakeholders and using the Q methodology to identify the regulatory innovation demand of the OTT industry. The analysis results are as follows. The analysis results are as follows. First, in the implementation of OTT-related policies, it is necessary to improve the standard system for the method of settlement of copyright fees. Second, it is required to improve the support method that can reduce the burden of OTT operators' fund. Third, it is necessary to supplement the system by changing the regulatory application method for potential regulatory issues related to zero-rating. This study can be utilized in the process of introducing a system in which various stakeholders are connected and developed in a complex manner in the process of regulatory innovation in new industries and services.

• Journal of Korea Entertainment Industry Association
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• v.14 no.7
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• pp.27-41
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• 2020

The purpose of the project is to identify the relationship between the sub-factors of SNS information characteristics (information quality, information reliability) and the impact of immersion on social capital (connected capital) on word of mouth intention, and to present measures to revitalize the tourism industry using the results obtained. The study conducted empirical analysis on 326 adults aged 19 and older. The results of the study are as follows: First, it has been confirmed that the sub-factors of SNS utilization (information quality, information reliability) have a positive effect on immersion. Second, immersion has been verified to have a significant influence relationship on the degree of word of mouth intention. Third, it was analyzed that social capital has positive interrelationships with immersion and word of mouth intention. Based on these findings, social network services (SNS) in the tourism industry can be used as basic data to attract potential tourism customers in the future by providing efficient information on tourism products by utilizing social network services (SNS) in the development of tourism contents and marketing strategies, and it is meaningful in that it is intended to help the tourism industry in practice.

• Journal of Appropriate Technology
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• v.5 no.2
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• pp.70-81
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• 2019

The garment industry is one of the most labor-intensive manufacturing industries, with its sewing process relying almost entirely on manual labor. Its costs highly depend on the efficiency of this production line and thus is crucial to determine the production rate in real-time for line balancing. However, current production tracking methods are costly and make it difficult for many Small and Medium-sized Enterprises (SMEs) to implement them. As a result, their reliance on manual counting of finished products is both time consuming and prone to error, leading to high manufacturing costs and inefficiencies. In this paper, a production tracking system that uses the sewing machines' energy consumption data to track and count the total number of sewing tasks completed through Convolutional Neural Network (CNN) classifiers is proposed. This system was tested on two target sewing tasks, with a resulting maximum classification accuracy of 98.6%; all sewing tasks were detected. In the developing countries, the garment sewing industry is a very important industry, but the use of a lot of capital is very limited, such as applying expensive high technology to solve the above problem. Applied with the appropriate technology, this system is expected to be of great help to the garment industry in developing countries.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.553-560
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• 2023

The study is about domestic industries following the migration of hubs (innovation, manufacturing) to other countries and the hub-oriented US industries (batteries, semiconductors, electric vehicles). Additionally, the ongoing trade tensions between the United States and China may have also played a role in companies moving their operations to the United States. The result of such a move could potentially include job creation in the United States, as well as increased investment in the U.S. manufacturing sector. However, it is also possible that there could be negative consequences, such as higher prices for consumers or disruptions to supply chains during the relocation process. However, such IRA, Chips Act scenario would likely also have negative consequences (Inflation in the home country) for the countries whose industries moved to the US, as they would lose jobs, investment, and possibly face economic difficulties as a result. As the result of the empirical analysis of the export scale of Korea and the United States, changes in the movement of global supply hubs are related to factors such as geopolitical price increases and consumption declines. In order to respond to these changes, this paper emphasizes the need to prevent the result of de-advantage by moving the production area of the scale.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.1354-1360
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• 2006

최근 놀라운 성장을 거듭하고 있는 지능형 로봇(Intelligent Robot) 기술은 기존의 주요 활용 분야였던 산업현장이나 연구실과 같은 전문가적 영역을 넘어서 지능형 엔터테인먼트(Entertainment)로봇이나 청소기 로봇의 예에서 볼 수 있듯이 인간의 주요 일상 생활 공간인 가정이나 공공기관의 서비스 분야로 점차 그 활용 영역을 넓혀가고 있다. 학습 보조 교사 도우미 로봇의 개발은 초등학교 교육 현장이 당면하고있는 각종 현안들을 로봇의 활용을 통해서 해결하고자하는 실용적인 목적에서 출발 했다. 이러한 관점에서 볼때 로봇 디자이너의 역할은 전체 개발 프로세스의 말단부에서 로봇 시스템의 외장(Appearance)을 마무리하는 역할을 넘어서 구체적 로봇시스템의 개발에 선행하여 학습보조 교사 도우미 로봇의 잠재적 활용 주체인 학생, 교사, 학부모의 입장에서 각 주체들의 내재적, 외재적 욕구를 효과적으로 만족 시킬 수있는 활용 시나리오(Application Scenario)를 도출, 개발 프로세스 전반에 걸쳐 각 개발 주체들에게 일관된 비젼(vision)과 이미지(image)를 제시하는것이라고 생각되었다. 본연구에서는 학습보조 교사 도우미 로봇 디자인 과제에 있어서 사용자 관찰(User Observation), 유저 다이어리(User Diary), 포커스그룹 인터뷰(F.G.I)등을 바탕으로 로봇의 역할 모델중심, 서비스 영역 중심, 초등학교 교육이념 구현 중심 등 3가지의 서로 다른 컨셉의 로봇 활용 시나리오(Application Scenario)를 제안하였다. 본 연구 결과는 현재 초기 단계에 있는 로봇 디자인 분야의 현실을 감안할때 전체 로봇 개발 프로세스내에서의 향후 산업 디자인이 수행해야 할 역할을 명확하게 보여준다는 점에서 그 의의가 있으며 관련 분야의 연구 활성화에 기여할 것으로 기대된다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.6
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• pp.51-61
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• 2020

Ever since the Act on the Promotion of Industrial Education and Industry-Academic Cooperation (IAC) was enacted in 2003, domestic universities have been focusing on commercialization research that can be applied to basic research industries by collaborating with industry and government agencies. Despite these efforts, the ratio of technology transfer and commercialization through IAC is low. Most technology transfer and technology commercialization studies have derived core technologies by analyzing the applied patents. First, this study collected expired patents from major domestic universities, compared quality characteristics of the expired and live patents, and finally found key patents among expired patents in order to identify companies and fields of application to which the patents can be utilized. The results of the study focus on expired university patents in terms of methodology and present a framework to identify patents capable of continuous IAC and technology transfer and match them with those in need. The results of this study are expected to contribute to increasing the efficiency of technology commercialization.

• Journal of Convergence for Information Technology
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• v.10 no.9
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• pp.147-153
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• 2020

As demand for drone test flight is rapidly increasing, it is difficult for Goheung Aviation Center alone to meet the test flight demand. Newly developed drones or modified existing aircraft carry potential flight risks due to unpredictable flight performance or poor pilot skill when performing test flights outside the test site. Therefore, it is necessary to ensure sufficient test flight space for the safety verification of manned and unmanned aircraft. Therefore, this study analyzed the status of domestic flight test site and chapter 5 of ICAO DOC 9184-AN / 902 Part 1 (Airport Planning Manual). And to build a comprehensive flight test infrastructure, the methodology for preliminary evaluation of candidate sites for flight test sites and a method for evaluating infrastructure test sites was presented.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.11
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• pp.247-249
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• 2020

In the era of the 4th industrial revolution, the demand for convergence between ICT technologies is increasing in various fields. Accordingly, a new term that combines data, network, and artificial intelligence technology, DNA (Data, Network, AI) is in use. and has recently become a hot topic. DNA has various potential technology to be able to develop intelligent application in the real world. Therefore, this paper introduces the reviewed papers on the service image placement mechanism based on the logical fog network, the mobility support scheme based on machine learning for Industrial wireless sensor network, the prediction of the following BCI performance by means of spectral EEG characteristics, the warning classification method based on artificial neural network using topics of source code and natural language processing model for data visualization interaction with chatbot, related on DNA technology.