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하드웨어 저전력 기능을 활용한 웨어러블 운영체제의 하이브리드 가버너
이성엽,김형신,Lee, SungYup,Kim, HyungShin 대한임베디드공학회 2018 대한임베디드공학회논문지 Vol.13 No.3
Wearable devices have become widespread. Fitness band is one of common wearable devices, providing useful functions. It helps users to monitor and collect their status such as heart rate and travel distance. Wearable devices, including fitness bands, are designed in small size and it ends up having small battery capacity. In that regard, it is necessary to expand the lifetime of wearable devices. Conventional power management scheme of wearable devices is based on DVFS Ondemand Governor and peripheral control by timeout event, such as turning off the LCD. In this paper, we propose a hybrid governor applying hardware supporting low power mode such as sleep mode to exploit the periodicity of fitness band task. In addition, we show hybrid governor outperforms in power consumption than conventional power management scheme of wearable devices based on Ondemand Governor through experiments.
이제민(Jemin Lee),김형신(Hyungshin Kim) 한국정보과학회 2014 정보과학회논문지 Vol.41 No.12
앱 마켓을 통해서 공급되는 많은 수의 응용프로그램들은 유용한 기능들을 제공한다. 하지만, 검증 과정의 비효율성 때문에 GUI 버그들을 포함하는 것이 많다. 모바일 시험연구는 많이 있지만 기존의 연구들은 소스코드에 대한 의존도가 있고, 효율성이 낮으며, 자동성이 부족하여 앱 마켓에 있는 광범위한 응용프로그램에 대해서 GUI 시험을 수행하기에는 한계가 존재한다. 본 논문에서는 효율적으로 GUI 버그를 검출하기 위한 자동화된 블랙박스 시험 방법을 제안한다. 실험결과 제안한 방법은 기존 블랙 박스 시험 도구에 비해서 더 높은 코드 커버리지와 GUI 버그 검출률을 달성했다. A variety of applications that are accessible through app markets provide useful features and functions. However, those applications can present many GUI bugs due to the deficiency of testing processes. Even though various approaches have been developed for mobile app testing, GUI bugs in applications are still difficult to be identified due to the absence of efficiency, lack of automation, and necessity of access to the source code. In this paper, we propose an automated black-box testing method for efficient GUI bug detection. Our experimental results show that the proposed method achieves better code coverage and uncovers GUI bugs when compared with existing black-box testing called Monkey.