In this paper we present the drawbacks of conventional approaches to the estimation of ngram in Chinese natural language processing, that is, the optimization of n-gram parameters is independent of its discriminative capability. To fight with this problem, we bring up with discriminative estimation criterion, on which the parameters of n-grams can be optimized. We implement this approach on the...

This paper presents a method allowing a complete characterization of wave signals received on a vector-sensor array. The proposed technique is based on wavefields separation processing and on estimation of fundamental waves attributes as the state of polarization state and the direction of arrival. Estimation of these attributes is an important step in data processing for a wide range of applic...

Optimum processing conditions on palm oil-based formulations are required to produce the desired quality margarine. As oils and fats contribute to the overall property of the margarine, this paper will review the importance of beta' tending oils and fats in margarine formulation, effects of the processing parameters -- emulsion temperature, flow-rate, product temperature and pin-worker speed --...

lineaments are the most important phenomena of geological exploration of hydrocarbon reservoirs . concepts in order to map the contours of land need so much time and money. one of the most famous methods in lineaments extraction is satellite image processing. in this paper, an overview of lineament extraction methods and a new method based on canny edge detection algorithm is raised. the result...

fuel cells, secondary batteries and capacitors are among many promising energy storage devices. in particular, supercapacitors have attracted much attention because of their long life cycle and high power density. graphene/nickel ferrite(g-nf) based supercapacitors were successfully fabricated through a one-step facile solvothermal route. effects of synthesis conditions i.e. solvothermal time a...

prediction, diagnosis, recovery and recurrence of the breast cancer among the patients are always one of the most important challenges for explorers and scientists. nowadays by using of the bioinformatics sciences, these challenges can be eliminated by using of the previous information of patients records. in this paper has been used adaptive nero fuzzy inference system and data mining techniqu...

introduction: nowadays, with the development of imaging systems and image processing algorithms, a new branch of agriculture and food industry quality control has emerged. meat and related products have high commercial value and they are one of the most important items of household food basket (jackman et al., 2011). the apparent color of the meat is one of the most important ranking factors wh...

Though the use of the Fast Fourier Transform (FFT) for signal processing in music applications has been widespread, applications in real-time systems for dynamic spectral transformation has been quite limited. The limitations have been largely due to amount of computation required for the operations. With faster machines, and with suitable implementations for frequency-domain processing, real-t...

Bond pad cleaning, prior to wire bonding, through the employment of radio-frequency-driven, lowpressure plasmas has been demonstrated to improve the wire bond pull strength.1 The successful application of plasma technology relies on an optimization of process parameters including process pressure, plasma power, time, and process gas type. These key plasma process parameters and their impact on ...

space-time adaptive processing is used for clutter mitigation in airborne radars. in this paper, deterministic clutter subspace and direct data domain methods are introduced due to the fact that space-time adaptive processing algorithm requires estimating covariance matrix, limited training data and high complexity in processing. in first proposed method, filter coefficients are calculated by e...