A Multi-Granularity Energy Profiling Approach and a Quantitative Study of a Web Browser

10th IEEE International Workshop on Object-Oriented Real-Time Dependable Systems ◽

10.1109/words.2005.9 ◽

2006 ◽

Cited By ~ 1

Author(s):

Chen-Ting Chuang ◽

Chin-Fu Kuo ◽

Tei-Wei Kuo ◽

Ai-Chun Pang

Keyword(s):

Quantitative Study ◽

Web Browser ◽

Energy Profiling

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SIMULATION AND VISUALIZATION OF CNN DYNAMICS

International Journal of Bifurcation and Chaos ◽

10.1142/s0218127499000882 ◽

1999 ◽

Vol 09 (07) ◽

pp. 1237-1261 ◽

Cited By ~ 16

Author(s):

MARTIN HÄNGGI ◽

SIMON MOSER ◽

ERIC PFAFFHAUSER ◽

GEORGE S. MOSCHYTZ

Keyword(s):

Neural Networks ◽

Numerical Integration ◽

Quantitative Study ◽

Broad Spectrum ◽

Educational Tool ◽

Grid Structure ◽

Web Browser ◽

The World ◽

Numerical Integration Methods ◽

Insight Into

A new simulator for Cellular Neural Networks (CNNs) is presented. In contrast to other simulators, the CNN cells are visualized in a grid structure, the values of input and states being represented by colors. Input and initial images can easily be generated and changed even while the integration of the system is in progress, and an oscilloscope function allows the quantitative study of CNN transients, thus providing insight into the dynamics of the network. For those who are new to the world of CNNs, a series of predefined templates set and demonstrations are available, which makes the simulator a valuable educational tool. Advanced users and CNN expert can examine manually-entered and parametrized templates and carry out experiments in a very broad spectrum of CNN theory and applications, including quantitative behavior, robustness aspects, settling time, state limitations, different output functions and numerical integration methods. The simulator is written in Java and publicly available on WWW and will run on any Web browser of the newer generations.

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Electron-Mirror Microscopic Aspects of Ferroelectric Domains of BaTiO3 And Ca2Sr (C2H5CO2)6

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100069387 ◽

1970 ◽

Vol 28 ◽

pp. 478-479

Author(s):

Teruo Someya ◽

Jinzo Kobayashi

Keyword(s):

Surface Layer ◽

Electric Fields ◽

Quantitative Study ◽

Recent Progress ◽

Ferroelectric Domain ◽

Resolving Power ◽

Surface Pattern ◽

Crystal Surfaces ◽

One Dimensional ◽

Ferroelectric Domains

Recent progress in the electron-mirror microscopy (EMM), e.g., an improvement of its resolving power together with an increase of the magnification makes it useful for investigating the ferroelectric domain physics. English has recently observed the domain texture in the surface layer of BaTiO3. The present authors ) have developed a theory by which one can evaluate small one-dimensional electric fields and/or topographic step heights in the crystal surfaces from their EMM pictures. This theory was applied to a quantitative study of the surface pattern of BaTiO3).

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