• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.6
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• pp.179-184
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• 2023

As many people went through Corona, they began to be interested in picture diaries that record their daily lives. However, existing applications have many paid services, and it is difficult to write a picture diary for those who have difficulty drawing themselves. In this paper, an application was developed to solve these problems. Basically, drawing diary writing function is provided, drawing is provided in the hand drawing function to increase convenience, and AI drawing function is added to make it possible to draw through keywords for those who have difficulty drawing. In addition, the emotional analysis function was added so that one could see one's past emotional statistics through the statistical function.

• Fourth Industrial Review
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• v.3 no.1
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• pp.21-32
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• 2023

Purpose - This study focused on the development of a Korean language curriculum to solve the problem of Korean literacy among students from multicultural families. Research design, data, and methodology - A case study was conducted on Sim(2018)'s learner-centered learning model to develop an educational plan including AI technology, which will help students from multicultural families to effectively improve their communication and learning skills by improving their reading, writing, and speaking of Korean. Result - Total of six educational plans using AI technology (Microsoft PowerPoint's drawing function, AutoDraw, and Google's Four-cut cartoons) were developed. Conclusion - The curriculum using AI is expected to greatly contribute to the recovery of language learning ability and confidence in studies necessary to improve learners' language education.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.637-642
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• 2022

Self-authentication technology using electrocardiogram (ECG) signals is drawing attention as a self-authentication technology that can replace existing bio-authentication. A device that recognizes a digital electronic key can be mounted on a vehicle to wirelessly exchange data with a car, and a function that can lock or unlock a car door or start a car by using a smartphone can be controlled through a smartphone. However, smart keys are vulnerable to security, so smart keys applied with bio-authentication technology were studied to solve this problem and provide driver convenience. A personal authentication algorithm using electrocardiogram was mounted on a watch-type wearable device to authenticate bio, and when personal authentication was completed, it could function as a smart key of a car. The certification rate was 95 per cent achieved. Drivers do not need to have a smart key, and they propose a smart key as an alternative that can safely protect it from loss and hacking. Smart keys using personal authentication technology using electrocardiogram can be applied to various fields through personal authentication and will study methods that can be applied to identification devices using electrocardiogram in the future.

• Journal of the Society of Disaster Information
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• v.18 no.4
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• pp.883-890
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• 2022

Purpose: Currently, in the case of domestic fire fighting facility design, it is difficult to secure highquality manpower due to low design costs and overheated competition between companies, so there is a limit to improving the fire safety performance of buildings. Accordingly, AI-based firefighting design solutions were studied to solve these problems and secure leading fire engineering technologies. Method: Through AutoCAD, which is widely used in existing fire fighting design, the procedures required for basic design and implementation design were processed, and AI technology was utilized through the YOLO v4 object recognition deep learning model. Result: Through the design process for fire fighting facilities, the facility was determined and the drawing design automation was carried out. In addition, by learning images of doors and pillars, artificial intelligence recognized the part and implemented the function of selecting boundary areas and installing piping and fire fighting facilities. Conclusion: Based on artificial intelligence technology, it was confirmed that human and material resources could be reduced when creating basic and implementation design drawings for building fire protection facilities, and technology was secured in artificial intelligence-based fire fighting design through prior technology development.