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Aug 09, 2018Open AccessArticle
Recently, it was suggested
by Cai a new semantic/syntactic/episodic model of language, encompassing the
sentential meanings to the neural linguistic components, and making it possible
to install the whole linguistic functions into robots through the three
semantic/syntactic/episodic components. In this article, it is considered some
improvements of language brought to the brain and mind of humans over animals,
and accordingly some ...
Apr 12, 2018Open AccessArticle
Based on the form of questionnaire, this paper
explores the use of foreign academic e-books by teachers and students in a
certain school from a subjective view. 367 Users’ behavior, habits and
needs were analyzed. Based on the results of the analysis, four suggestions are
put forward to improve the overall utilization: Promote the localization of
interface, pay attention to users’ advice while ...
Nov 10, 2017Open AccessArticle
The study aimed to filter and remove noise from
audio, and in this study researcher followed the descriptive
analytical method. The study sample consisted of an audio file and has been
save Audio of on a formula (WAV), and the study used matlab 7.10.0 to read
sound and design low pass filter, then insert the audio signal with the noise
signal into the filter and output a signal audio without noise. The research ...
Aug 23, 2017Open AccessArticle
Considering software for voice control robot, the main application window is shown. The examples illustrate
various robot controls. The structure of the management team is developed. The
grammar of various commands is described. A library of words is proposed, which
the operator can enter to achieve the set goals. The main elements of the
library are listed. To provide voice control, a sequence of actions is
pro ...
Aug 07, 2017Open AccessArticle
Recently, it was proposed by Cai a new semantic/ syntactic/ episodic model of language encompassing the sentential meanings, while deriving three corresponding principles from it for machine translation, respectively as first to establish the dictionary of words/phrases, second to translate the grammar, and third to determine the meanings of some words/phrases of multiple meanings by statistic ...
Nov 16, 2016Open AccessArticle
Precise detection of PD is
important in its early stages. Precise result can be achieved through data
mining, classification techniques such as Naive Bayes, support vector machine
(SVM), multilayer perceptron neural network (MLP) and decision tree. In this
paper, four types of classifiers based on Naive Bayes, SVM, MLP neural network,
and decision tree (j48) are used to classify the PD dataset and the performances of these classif ...
Jun 08, 2016Open AccessArticle
Recently, it was extended by the author the declarative/procedural model
to a new semantic/ syntactic/episodic model for language, extended to encompass
the sentential meanings to the neural linguistic processes. In this article, it
is applied this new semantic/syntactic/episodic model of brain to derive three
feasible principles to direct machine translation respectively. First, it is
necessary to establish the dictionary for tra ...
Jul 21, 2015Open AccessArticle
In the declarative/procedural model of language, it assumes the semantic
words as declarative memories while the grammatical syntax as procedural rules,
whereas it is herein suggested that different words associate with different
cortical modalities, so that it is necessary to consider the modality
coordination of words episodic in meanings in sentences. In evidence, stuttering is intact on grammar but impaired on fluency, so that the dopaminergic system,
with antagonists alleviating and genes p...
Jan 23, 2015Open AccessArticle
The mathematical model that aims at determining points in an image at
which the image brightness suddenly changes is called edge detection. This
study aims to propose a new
hybrid method for edge detection. This method is based on cellular learning
automata (CLA) and stochastic cellular automata (SCA). In the first part of the
proposed method, statistic features of the input image are hired to have
primary edge detection. In the next step CLA and SCA are employed to amplify
pixels situated on ed...
Sep 24, 2014Open AccessArticle
The Wisconsin Breast Cancer Dataset has been heavily cited as a benchmark dataset for classification. Neural Network techniques such as Neural Networks, Probabilistic Neural Networks, and Regression Neural Networks have been shown to perform very well on this dataset. However, despite its obvious practical importance and implications for cancer research, a thorough investigation of all modern classification techniques on this dataset remains to be done. In this paper we examine the efficacy of c...
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