نتایج جستجو برای: sequential power loss index

تعداد نتایج: 1349441  

Journal: :iranian journal of science and technology (sciences) 2011
y. rahimsouri

the concentrations of potentially toxic elements (as, sb, and hg) and some trace elements in 36 topsoil samples and 18 agricultural soil samples were measured at the aq-darreh river watershed, nw iran. based on the results of the chemical analysis and comparing them with different standards, it seems that the soils of the aq-darreh river watershed are polluted with as and sb. this pollution res...

Journal: :جنگل و فرآورده های چوب 0
کژال مرادیان کارشناس ارشد صنایع خمیر و کاغذ، دانشکدة منابع طبیعی، دانشگاه تهران، کرج، ایران محمد آزادفلاح استادیار، گروه علوم و صنایع چوب و کاغذ، دانشکدة منابع طبیعی، دانشگاه تهران، کرج، ایران امیر عباس شایگانی اکمل استادیار، گروه مهندسی برق، دانشکدة مهندسی برق و کامپیوتر، دانشگاه تهران، تهران، ایران علی عبدالخانی دانشیار، گروه علوم و صنایع چوب و کاغذ، دانشکدة منابع طبیعی، دانشگاه تهران، کرج، ایران

the oil-paper insulation is a type of an inexpensive combination insulation system in oil-filled power transformers. in this study the dielectric and strength properties of canola oil and mineral oil impregnated hand-sheet papers were investigated. all hand sheets were made of unbleached bagasse soda pulp with two different freeness levels of 200 ± 25 ml, csf and 400± 25 ml,csf. after drying th...

2015
Y. X. He J. Wang Xin Zhuang Bei Nong Lu

In recent years, coal price has risen rapidly, which has also brought a sharp increase in the expenditures of thermal power plants in China. Meantime, the power production price and power retail price have not been adjusted accordingly and a large number of thermal power plants have incurred losses. The power industry is a key industry in the national economy. As such, a thorough analysis and e...

Journal: :journal of medical signals and sensors 0
sepideh hatamikia keivan maghooli ali motie nasrabadi

electroencephalogram (eeg) is one of the useful biological signals to distinguish different brain diseases and mental states. in recent years, detecting different emotional states from biological signals has been merged more attention by researchers and several feature extraction methods and classifiers are suggested to recognize emotions from eeg signals. in this research, we introduce an emot...

Journal: :IEEE Transactions on Very Large Scale Integration (VLSI) Systems 2001

1996
Diana Marculescu Radu Marculescu Massoud Pedram

In power estimation, one is faced with two problems: 1) generating input vector sequences that satisfy a given statistical behavior (in terms of signal probabilities and correlations among bits); 2) making these sequences as short as possible so as to improve the efficiency of power simulators. Stochastic sequential machines (SSMs) can be used to solve both problems. In particular, this paper p...

2008
Junjik Bae Eyal Beigman Randall Berry Michael L. Honig Rakesh Vohra

We study a sequential auction for sharing a wireless resource (bandwidth or power) among competing transmitters. The resource is assumed to be managed by a spectrum broker (auctioneer), who collects bids and allocates discrete units of the resource via a sequential second-price auction. It is well known that a second price auction for a single indivisible good has an efficient dominant strategy...

1996
Diana Marculescu Radu Marculescu Massoud Pedram

In power estimation, one is faced with two problems: 1) generating input vector sequences that satisfy a given statistical behavior (in terms of signal probabilities and correlations among bits); 2) making these sequences as short as possible so as to improve the efficiency of power simulators. Stochastic sequential machines (SSMs) can be used to solve both problems. In particular, this paper p...

1997
Radu Marculescu Diana Marculescu Massoud Pedram

This paper presents an effective and robust technique for compacting a large sequence of input vectors into a much smaller input sequence so as to reduce the circuit/gate level simulation time by orders of magnitude and maintain the accuracy of the power estimates. In particular, this paper introduces and characterizes a family of dynamic Markov trees that can model complex spatiotemporal corre...

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