نتایج جستجو برای: parameter estimation rough rice

تعداد نتایج: 545217  

Journal: :Journal of food science 2008
J Patindol J Newton Y-J Wang

Rough rice (RR) is the conventional feedstock for parboiling. The use of brown rice (BR) instead of RR is gaining interest because it results in shorter processing time and lower energy requirement. This study compared the functional properties of milled parboiled rice under different parboiling conditions from RR and BR. Presoaked RR and BR from cultivars Bolivar, Cheniere, Dixiebelle, and Wel...

2011
Weihua Xu Xiantao Zhang Qiaorong Wang

A generalized multi-granulation rough set is proposed in this paper. In the new model, supporting characteristic function is defined and a parameter called information level is introduced to investigate that an object supports a concept precisely under majority granulations. Moreover, some important properties are discussed on the new multigranulation rough set. And it can be found that the pro...

Abstract. This paper deals with the classical and Bayesian estimation for two parameter exponential distribution having scale and location parameters with randomly censored data. The censoring time is also assumed to follow a two parameter exponential distribution with different scale but same location parameter. The main stress is on the location parameter in this paper. This parameter has not...

2010
I. W. Nuarsa F. Nishio C. Hongo

Information about an area and its distribution of planted and harvested paddy rice field is essential for food security management, water resource management, and for the estimation of gas emissions. Rice field has specific coverage characteristics throughout its life time. Its coverage is mixed proportionally in accordance with its age, between water, soil, and rice vegetation. Landsat ETM+ ha...

Journal: :Japanese journal of applied entomology and zoology 1978

Journal: :CoRR 2016
Claire Boyer Yohann de Castro Joseph Salmon

In this paper, we study sparse spike deconvolution over the space of complex-valued mea-sures when the input measure is a finite sum of Dirac masses. We introduce a modified versionof the Beurling Lasso (BLasso), a semi-definite program that we refer to as the ConcomitantBeurling Lasso (CBLasso). This new procedure estimates the target measure and the un-known noise level si...

2014
Liu Wenjun Li Qingguo

Combining rough sets and fuzzy soft sets, we propose an algorithm to obtain the optimal decision program. In this algorithm, firstly, according to fuzzy soft sets, we build up information systems; secondly, we compute the significance of each parameter according to rough set theory; thirdly, combining subjective bias, we give an algorithm to obtain the comprehensive weight of each parameter; at...

A. Farahnaky M. Majzoobi

Using a wide range of techniques, including differential scanning calorimetry, X-ray diffraction, Rapid Visco Analyser and Fourier Transform Infera Red Spectroscopy, some physicochemical properties of the starch fraction of six Iranian rice cultivars (Tarom, Tarome Hashemi, Neda, Ramezani, Fajr and Kamfirouzi) [1]were studied and compared. DSC data showed that starch granules of different rice ...

2013
JEAN-MARC AZAÏS FABRICE GAMBOA

This article investigates the super-resolution phenomenon using the celebrated statistical estimator LASSO in the complex valued measure framework. More precisely, we study the recovery of a discrete measure (spike train) from few noisy observations (Fourier samples, moments, Stieltjes transformation...). In particular, we provide an explicit quantitative localization of the spikes. Moreover, o...

2000
Antoine Soubret Claude Bourrely

The small perturbations method has been extensively used for waves scattering by rough surfaces. The standard method developped by Rice is difficult to apply when we consider second and third order of scattered fields as a function of the surface height. Calculations can be greatly simplified with the use of reduced Rayleigh equations, because one of the unknown fields can be eliminated. We der...

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