• Journal of Practical Engineering Education
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• v.5 no.2
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• pp.101-107
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• 2013

Clickers that are personal response systems are a technology used to promote active learning and most research on the benefits of using clickers has shown that students become engaged and enjoy using them. But, existing clickers consisting of hardware devices and aggregation software provide simple response and aggregation function and it costs a lot. In this paper, in order to resolve the limitation of the existing clickers, we've designed and implemented the Smart Clicker consisting of a smartphone application for students and a web application & a MFC program for professors. Students can answer professor's questions with O/X or numbers or text and even ask questions with text messaging by using Smart Clicker in the classroom. Professors can see students' answers or questions immediately and check up students' response participation rate on the web page. Besides, the Smart Clicker will help professors actively engage students during the entire class period and gauge their level of understanding of the material being presented, and provide prompt feedback to student questions. As a result, we expect that quality of education will be increased.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.63-71
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• 2020

In this paper, we propose a fire detection technology using YOLOv3 and EfficientDet, the most reliable artificial intelligence detection algorithm recently, an alert service that simultaneously transmits four kinds of notifications: text, web, app and e-mail, and an AWS system that links fire detection and notification service. There are two types of our highly accurate fire detection algorithms; the fire detection model based on YOLOv3, which operates locally, used more than 2000 fire data and learned through data augmentation, and the EfficientDet, which operates in the cloud, has conducted transfer learning on the pretrained model. Four types of notification services were established using AWS service and FCM service; in the case of the web, app, and mail, notifications were received immediately after notification transmission, and in the case of the text messaging system through the base station, the delay time was fast enough within one second. We proved the accuracy of our fire detection technology through fire detection experiments using the fire video, and we also measured the time of fire detection and notification service to check detecting time and notification time. Our AI fire detection and notification service system in this paper is expected to be more accurate and faster than past fire detection systems, which will greatly help secure golden time in the event of fire accidents.

• Journal of the HCI Society of Korea
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• v.12 no.2
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• pp.5-12
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• 2017

The forms of emoticon - a symbolic tool which expresses a person's sentiments and emotions in virtual space - have been diversifying by the growth of the mobile market. In light of this phenomenon, a number of studies about emoticon have been conducting in Korea. Nevertheless, those are limited not only to a certain form of emoticon which is combinations of symbolic characters but to the functional aspect of emoticon. Thus, this research focused on the image-form emoticon which is the most highly used, and on the user's perspective rather than functional. It is (1)found out the motive of using image-form of emoticon, and (2)explored the attitude and using behaviors toward emoticon based on the motives found. Moreover, this study (3)examined if there is a gender effect and intimacy effect. As a result, the motives of the emoticon-users were to express their emotions, to show their intimacies to the receivers, to manage their images, and to supplement text-based messaging. Two of the motives - expressing emotions and expressing intimacy - had a positive effect on the attitude and the frequency of emoticon-use. It is also found that the higher intimacy users feel toward the receivers, the better the attitude they have as well as the more frequent they use emoticon. This study suggests practical implications of emoticon as a growing communication tool by identifying the motives of using it. And it also contributes to examine the effect of the motives and intimacy on the attitude and the actual behavior of using emoticon.