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Takeshi Kamiyama

dblp:116/0681 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Computer networks · 1Databases, data management, data science and information retrieval · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Electronic design automation · 77% Embedded and real-time systems · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation › power analysis
power profiling
0.112012
Poster: an energy profiler for android applications used in the real world · MobiSys 2012

Methods — techniques the papers use, named apart from their topics

energy profiling · 0.1
YearPublicationVenuePosition
2022 CPU Usage Trends in Android Applications
abstract
The CPU is one of the most battery-consuming elements in a smartphone. The power consumption and user experience are in a trade-off relationship. These can be controlled by the CPU clock rate. Increasing the clock rate makes the user experience better and power consumption worse. On the contrary, the user experience declined and power consumption savings is improved by decreasing the rate. Thus, the clock rate should be increased only when large CPU resources are required. In our previous work, we proposed a concept of increasing the clock rate at an invocation of a CPU-consuming and time-consuming method. However, we did not discuss whether there are method invocations that meet these conditions. In this paper, we investigate the CPU usage trend of practical Android applications and show that many applications have method invocations suitable for the proposed dynamic CPU clock rate adjustment.
Kota Kumakura, Masato Oguchi, Takeshi Kamiyama, Saneyasu Yamaguchi
IEEE Big Data3
2012 Poster: an energy profiler for android applications used in the real world
abstract
Reducing the energy consumed in the use of smart phones has become a major challenge for application developers. While this problem can be addressed at various levels, it is important to reduce the energy consumption of individual applications which can vary greatly depending on the behavior of the application. Energy profiling methods are required in order to identify the points in which the applications are consuming excessive energy and to examine how to reduce overall energy consumption by applications.
Hiroki Furusho, Kenji Hisazumi, Takeshi Kamiyama, Hiroshi Inamura, Tsuneo Nakanishi, Akira Fukuda
MobiSys3