Placement rent exponent calculation methods, temporal behaviour and FPGA architecture evaluation

2003 ◽  
Author(s):  
Joachim Pistorius ◽  
Mike Hutton
Keyword(s):  
Calculation Methods ◽  
Temporal Behaviour ◽  
Fpga Architecture ◽  
Architecture Evaluation

Hierarchical Benchmark Circuit Generation for FPGA Architecture Evaluation

2012 ◽  
Vol 11 (S2) ◽  
pp. 1-25
Author(s):  
Cindy Mark ◽  
Scott Y. L. Chin ◽  
Lesley Shannon ◽  
Steven J. E. Wilton
Keyword(s):  
Fpga Architecture ◽  
Benchmark Circuit ◽  
Architecture Evaluation

Analysis of the 9th November 1990 flare

2000 ◽  
Vol 179 ◽  
pp. 229-232
Author(s):  
Anita Joshi ◽  
Wahab Uddin
Keyword(s):  
Image Processing ◽  
Two Dimensional ◽  
Temporal Behaviour ◽  
Contour Maps ◽  
Dimensional Measurements ◽  
Processing Software ◽  
Image Processing Software

AbstractIn this paper we present complete two-dimensional measurements of the observed brightness of the 9th November 1990Hαflare, using a PDS microdensitometer scanner and image processing software MIDAS. The resulting isophotal contour maps, were used to describe morphological-cum-temporal behaviour of the flare and also the kernels of the flare. Correlation of theHαflare with SXR and MW radiations were also studied.

TEMPORAL BEHAVIOUR OF THE OPTOGALVANIC SIGNAL IN A HOLLOW CATHODE LAMP

1983 ◽  
Vol 44 (C7) ◽  
pp. C7-479-C7-487 ◽  
Author(s):  
M. Broglia ◽  
F. Catoni ◽  
P. Zampetti
Keyword(s):  
Hollow Cathode ◽  
Temporal Behaviour ◽  
Hollow Cathode Lamp

A Stochastic Model for the Inheritance of the Cancer Proneness Phenotype

1987 ◽  
Vol 26 (03) ◽  
pp. 117-123
Author(s):  
P. Tautu ◽  
G. Wagner
Keyword(s):  
Stochastic Model ◽  
Gaussian Process ◽  
Covariance Function ◽  
Neoplastic Disease ◽  
Disease Phenotype ◽  
Probabilistic Representation ◽  
Temporal Behaviour ◽  
Continuous Trait ◽  
Continuous Parameter ◽  
Level Zero

SummaryA continuous parameter, stationary Gaussian process is introduced as a first approach to the probabilistic representation of the phenotype inheritance process. With some specific assumptions about the components of the covariance function, it may describe the temporal behaviour of the “cancer-proneness phenotype” (CPF) as a quantitative continuous trait. Upcrossing a fixed level (“threshold”) u and reaching level zero are the extremes of the Gaussian process considered; it is assumed that they might be interpreted as the transformation of CPF into a “neoplastic disease phenotype” or as the non-proneness to cancer, respectively.

Challenges of the Crisis: How to Measure Sustainable Development?

2015 ◽  
pp. 147-160 ◽  
Author(s):  
S. Bobylev ◽  
N. Zubarevich ◽  
S. Solovyeva
Keyword(s):  
Sustainable Development ◽  
World Bank ◽  
Environmental Indicators ◽  
Calculation Methods ◽  
Basic Principles ◽  
The Sustainable Development ◽  
Development Index ◽  
Development Indicators ◽  
Sustainable Development Indicators ◽  
Adjusted Net Savings

The article emphasizes the fact that traditional socio-economic indicators do not reflect the challenges of sustainable development adequately, and this is particularly true for the widely-used GDP indicator. In this connection the elaboration of sustainable development indicators is needed, taking into account economic, social and environmental factors. For Russia, adaptation and use of concepts and basic principles of calculation methods for adjusted net savings index (World Bank) and human development index (UNDP) as integral indicators can be promising. The authors have developed the sustainable development index for Russia, which aggregates and allows taking into account balanced economic, social and environmental indicators.

COMPARATIVE ANALYSIS OF EQUILIBRIUM BEACH PROFILE CALCULATION METHODS

2015 ◽  
pp. 39
Author(s):  
A. L. Khomchanovsky ◽  
E. A. Fedorova ◽  
An. A. Lygin ◽  
A. Sh. Khabidov
Keyword(s):  
Comparative Analysis ◽  
Calculation Methods ◽  
Beach Profile ◽  
Equilibrium Beach Profile
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