نتایج جستجو برای: LWL

تعداد نتایج: 77  

Journal: :Journal of animal science 1994
N N Aziz D M Murray R O Ball

Chemical composition of the noncarcass organs, combined noncarcass organs, and fleece-free empty body (FFEB) was measured during live weight gain (LWG) and live weight loss (LWL) to determine the effect of different periods of normal and retarded growth on chemical composition of noncarcass organs and FFEB. Thirty-five Merino wethers had ad libitum access to the experimental diet (17.23% CP and...

2009
Geonwook Yoo Jerzy Kanicki Jochen Herrmann Tae Kyung Won

We report on a fabrication method of the hydrogenated amorphous silicon (a-Si:H) thin-film transistors (TFTs) using a maskless laser-write lithography (LWL). Level-to-level alignment with a high accuracy is demonstrated using LWL method. The obtained results show that it is possible to fabricate a-Si:H TFTs using a well-established a-Si:H TFT technology in combination with the maskless lithogra...

Journal: :Environmental Modelling and Software 2021

Accurate prediction of stable alluvial hydraulic geometry, in which erosion and sedimentation are equilibrium, is one the most difficult but critical topics field river engineering. Data mining algorithms have been gaining more attention this due to their high performance flexibility. However, an understanding potential for these provide fast, cheap, accurate predictions geometry lacking. This ...

2008
Takashi Hamazaki

We present the LWL formula which represents the long wavelengh limit of the solutions of evolution equations of cosmological perturbations in terms of the exactly homogeneous solutions in the most general case where multiple scalar fields and multiple perfect fluids coexist. We find the conserved quantity which has origin in the adiabatic decaying mode, and by regarding this quantity as the sou...

2012
Christopher Lehnert

This paper proposes an efficient and online learning control system that uses the successful Model Predictive Control (MPC) method in a model based locally weighted learning framework. The new approach named Locally Weighted Learning Model Predictive Control (LWL-MPC) has been proposed as a solution to learn to control complex and nonlinear Elastic Joint Robots (EJR). Elastic Joint Robots are g...

Journal: :The Journal of pediatrics 2017
Elizabeth C Loi Virginia A Marchman Anne Fernald Heidi M Feldman

OBJECTIVE To assess language skills in children born preterm and full term by the use of a standardized language test and eye-tracking methods. STUDY DESIGN Children born ≤32 weeks' gestation (n = 44) were matched on sex and socioeconomic status to children born full term (n = 44) and studied longitudinally. The Bayley Scales of Infant and Toddler Development, Third Edition (BSID-III) were ad...

Journal: :Perform. Eval. 2013
Esa Hyytiä

Applying the first policy iteration (FPI) to any static dispatching (task assignment) policy yields a new improved dynamic policy that takes into account the particular cost structure and the expected future arrivals. However, it is generally hard to go beyond that due to the complex state space and the resulting difficulty in computing the value function for a dynamic policy. For example, appl...

2007
Reinhard Prix John T Whelan

The F-statistic is an optimal detection statistic for continuous gravitational waves, i.e. long-duration (quasi-)monochromatic signals with slowlyvarying intrinsic frequency. This method was originally developed in the context of ground-based detectors, but it is equally applicable to LISA where many signals fall into this class of signals. We report on the application of a LIGO/GEO Fstatistic ...

2009
Geonwook Yoo Hojin Lee Daniela Radtke Marko Stumpf Uwe Zeitner Jerzy Kanicki

We report on the design and fabrication methods for a hydrogenated amorphous silicon (a-Si:H) thin-film transistors (TFTs) on a non-planar substrate using laser-write lithography (LWL). Level-to-level alignment with a high accuracy is demonstrated using LWL method. The fabricated a-Si:H TFT exhibits a field-effect mobility of 0.27 cm/V s, threshold voltage of 4.9 V and on/off current ratio of 6...

2012
Peter Englert

Locally Weighted Learning is a class of function approximation techniques, where a prediction is done by using an approximated local model around the current point of interest. This paper gives an general overview on the topic and shows two different solution algorithms. Finally some successful applications of LWL in the field of Robot Learning are presented.

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