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Mar 25, 2020Open AccessArticle
The computer security has become a major challenge. Tools and mechanisms have been developed to ensure a level of compliance. These include the Intrusion De-tection Systems (IDS). The principle of conventional IDS is to detect attempts to attack a network and to identify abnormal activities and behaviors. The reasons, including the uncertainty in searching for types of attacks and the increasing com-plexity of advanced cyber-attacks, IDS calls for the need for integration of meth-ods such as Dee...
Mar 13, 2020Open AccessArticle
In this article, we applied Deep Learning on LTE-A uplink channel estimation system. The work involved creating of two SC-FDMA databases for training and for test, based on three types of channel propagation models. The first section of this work consists of applying an Artificial Neural Network to estimate the channel of SC-FDMA link. Neural Network training is an iterative process which consists on adapting the values of its parameters: weights and bias. After training, the Neural Network was ...
Nov 23, 2018Open AccessArticle
Introduction: Bow Legs and Knock Knees are quite common in
growing children, which usually affect the lower portions of the body,
however such disorders usually do not have any pathological significance. In
this paper, we investigate a method using deep learning to correctly
draw a boundary between a physiologically normal knee and a genu valgum. Objective ...
Sep 30, 2018Open AccessArticle
Big data and deep learning
technology have once again set off a boom in artificial intelligence.
Artificial intelligence has been a major development strategy in many
countries. The Chinese government has also written this into the “13th Five-Year
Plan”, and the Ministry of Education has also launched with the reform measures
for artificial intelligence education, the deep integration of “artificial
intelligence education” has b ...
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 ...
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