• 건강소식
• /
• v.26 no.7 s.284
• /
• pp.28-29
• /
• 2002

• 건강소식
• /
• v.26 no.10 s.287
• /
• pp.28-29
• /
• 2002

• 건강소식
• /
• v.26 no.11 s.288
• /
• pp.28-29
• /
• 2002

• 건강소식
• /
• v.26 no.12 s.289
• /
• pp.28-29
• /
• 2002

• Convergence Security Journal
• /
• v.21 no.1
• /
• pp.191-200
• /
• 2021

Artificial intelligence technology is developing in an environment where a lot of data is produced due to the development of computing technology, a cloud environment that can store data, and the spread of personal mobile phones. Among these artificial intelligence technologies, the deep neural network provides excellent performance in image recognition and image classification. There have been many studies on image detection for forest fires and fire prevention using such a deep neural network, but studies on detection of cigarette smoking were insufficient. Meanwhile, military units are establishing surveillance systems for various facilities through CCTV, and it is necessary to detect smoking near ammunition stores or non-smoking areas to prevent fires and explosions. In this paper, by reflecting experimentally optimized numerical values such as activation function and learning rate, we did the detection of smoking pictures and non-smoking pictures in two cases. As experimental data, data was constructed by crawling using pictures of smoking and non-smoking published on the Internet, and a machine learning library was used. As a result of the experiment, when the learning rate is 0.004 and the optimization algorithm Adam is used, it can be seen that the accuracy of 93% and F1-score of 94% are obtained.

• The Journal of the Korea Contents Association
• /
• v.19 no.2
• /
• pp.379-392
• /
• 2019

Public service advertising is a form of communication activity performed to increase public interest. In order to improve the effectiveness of public service advertising, it is necessary to formulate advertising strategies that can actually induce positive action changes. China has various social problems because of dramatic social changes, which call for implementing public service advertising. This study aims to improve the persuasive effects of Chinese public service advertising by addressing effective communication strategies. In particular, we selected 33 works that use fear appeals from 2016 HuangHe Award-winning posters and analyzed their visual representation of fear appeals. The results suggest that fear appeals are frequently used in safe driving and anti-smoking campaigns. In addition, main colors of these posters were black and white. The main fearful images were often represented in a form of 'fact' and 'factual conception' and in the type of 'picture.' They also have features of implicit association' and 'exaggeration'. This study has a significance in terms of providing theoretical and empirical information to future research on improvement of public service advertising in China.