• Journal of The Korean Association of Information Education
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• v.24 no.1
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• pp.99-106
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• 2020

In this paper, we analyzed the units related to robot education in the Practical Arts textbooks according to the 2015 revised curriculum. As a result, all textbooks had a common system of introduction, development, and organization, and all of them showed a similar flow. Learning objectives were presented in all textbooks, but no affective goals were presented except cognitive and functional goals. The contents of robot learning suggest the meaning and type of robots, the structure and sensors of robots, and the activities of making robots, but the contents of robot ethics, the production and activities of various robot works, and the use of robots in the problem solving process are not presented. The assembly robot and the infrared sensor are used in common, and it consists of presenting robot production and control training materials in experience activities and arranging units through evaluation, and the A, C, and F textbooks also provide the unit auxiliary data. In the future, it will be necessary to include the contents of robot ethics education centered on the design/manufacturer and user-oriented robot ethics such as the recognition of the limits of robots, the principles of using robots correctly, safety education, personal information and privacy protection.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.63-73
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• 2021

In order to effectively promote a smart city, various urban information must be opened and linked, and the information system that each member can share is required. In addition, it is necessary to establish a cooperative system in which citizens and citizen's organizations can participate. In this study, the components and conceptual model of a smart city platform were proposed to create a smart city that enables citizen participation. Its components include sensors for collecting data from the real world, information storage and management, information sharing and standard system, citizens' personal information protection and management system, utilization and service, etc. For the conceptual model, roles of smart city members were defined, so that citizen-centered participation and services could be made. It also includes data collection, information linkage and sharing, and service configuration system. Citizens can perform various roles such as data collector and provider, service planner or requestor, service beneficiary, etc. Ultimately, free communication and exchange of opinions with citizens is a key factor in the success of smart cities.

• Journal of Advanced Navigation Technology
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• v.27 no.6
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• pp.865-870
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• 2023

Recently, accidents caused by black ice, a road freezing phenomenon caused by natural power, are increasing. Black ice is difficult to identify directly with the human eye and is more likely to misunderstand it as standing water, so there is a high accident rate caused by car sliding. To solve this problem, this paper presents a method of detecting black ice centered on LiDAR sensors. With a small, inexpensive, and high-accuracy light detection and ranging (LiDAR) sensor, the temperature and inclination angle are set differently to detect black ice and asphalt by setting different reflection angles of asphalt and black ice differently in temperatures and inclinations. The LIDARO carried out in the study points out that additional research and improvement are needed to increase accuracy, and through this, more reliable black ice detection methods can be suggested. This method suggests a method of detecting black ice through early system design research by preventing accidents caused by black ice in advance.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.189-196
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• 2023

As the manufacturing paradigm shifts, various collaborative robots are creating new markets. Demand for collaborative robots is increasing in all industries for the purpose of easy operation, productivity improvement, and replacement of manpower who do simple tasks compared to existing industrial robots. However, accidents frequently occur during work caused by collaborative robots in industrial sites, threatening the safety of workers. In order to construct an industrial site through robots in a human-centered environment, the safety of workers must be guaranteed, and there is a need to develop a collaborative robot guard system that provides reliable communication without the possibility of dispatch. It is necessary to double prevent accidents that occur within the working radius of cobots and reduce the risk of safety accidents through sensors and computer vision. We build a system based on OPC UA, an international protocol for communication with various industrial equipment, and propose a collaborative robot guard system through image analysis using ultrasonic sensors and CNN (Convolution Neural Network). The proposed system evaluates the possibility of robot control in an unsafe situation for a worker.