Recently, with the increase of cases of copyright infringement against various mobile devices, platforms, and services that have emerged due to the development of mobile environment, there is a need for developing a copyright protection technology and a new standard in a mobile environment. There are mobile applications which used to prevent copyright infringement of mobile contents. It has a function of inserting and extracting digital watermarks. However, when the application is executed in the mobile device as it is, there is a problem that the battery usage rapidly increases, and there is no related API to which the low power technology is applied to solve the problem. Due to the nature of mobile devices with limited battery capacity, it is very important to minimize the power consumption of the application in the process of developing a mobile watermarking application so that it can be serviced for a longer period of time. In this paper, we propose two scenarios for accurately measuring the power consumption of a mobile watermarking application using the battery historian. Through this technique, we compare and analyze the power consumption measurement results of the watermarking application improved by energy refactoring and the other not improved by it.
CITATION STYLE
Kim, S. B., Koo, J. H., Kim, Y. H., & Kim, U. M. (2018). Reducing Power Consumption of Mobile Watermarking Application with Energy Refactoring. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10905 LNCS, pp. 599–608). Springer Verlag. https://doi.org/10.1007/978-3-319-92046-7_49
Mendeley helps you to discover research relevant for your work.