• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.434-437
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• 2014

현대인들의 생활필수품인 스마트 폰을 이용한 전자상의 거래가 날이 갈수록 활발해지고 있다. 스마트 폰을 이용하여 실시간으로 물품을 구매 혹은 판매하며 자신이 원하는 물품을 검색하는 행위가 급증하고 있다. 그러나 구매하고자 하는 물품이 즉시 검색이 안 되면 해당 물품이 등록되기 전까지 구매자는 지속적으로 검색을 수행해야 하는 문제가 있다. 이 논문에서는 사용자가 원하는 물품에 대한 정보를 이용하여 실시간으로 사용자에게 물품의 등록여부를 알려주는 서비스를 제공함으로써 사용자에게 편의성을 제공한다.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.1
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• pp.205-212
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• 2019

With the rapid spread of mobile phones, users are continuously interested in using the mobile phone in connection with personal activities. Also, increasingly users want to share (transmit and receive) and save data more easily and simply in the mobile environment. This paper suggests motion recognition of mobile phone to share personal information with any people located within a certain distance using location-based service with GCM service. The suggested application is based on Google Cloud Messaging which enables asynchronous communication with the mobile applications executed in Android operating system. The requirements of light-weight mechanism can be satisfied as it is possible to access sharing of personal information easily, simply and in real time through all mobile devices anywhere.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.1
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• pp.165-172
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• 2024

In this paper, we designed a smart home system that can be used intuitively and easily in everyday life, such as sending text messages to users, providing various information and scheduling using smart AI, and providing lighting and atmosphere suitable for the atmosphere in situations such as listening to music using neopixels, as well as using ESP32, RFID, and Google Cloude Console using raspberry pie. As a result of the experiment, it was confirmed that security characters were normally sent to users when RFID was recognized on ESP32 connected to Wi-Fi even if the power was reconnected, and smart AI using Neopixel lighting, Raspberry Pie, and voice recognition, which calculated frequency, also changed the recognition rate over distance, but it worked.