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Sep 30, 2018Open    AccessArticle

Design and Development of High School Artificial Intelligence Textbook Based on Computational Thinking

Yanfang Yu, Yuan Chen
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
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Aug 09, 2018Open    AccessArticle

The Leap of Mind of Linguistic Humans over Animals

Zi-Jian Cai
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
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Apr 12, 2018Open    AccessArticle

Analysis and Reflection on the Utilization of Foreign Academic E-Book—An Empirical Study Based on 367 Users of a University

Jiayin Liu, Chen Chen
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
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Nov 10, 2017Open    AccessArticle

Audio Noise Reduction Using Low Pass Filters

Ali Osman Mohammed Salih
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
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Aug 23, 2017Open    AccessArticle

Software for Voice Control Robot: Example of Implementation

Svitlana Maksymova, Rami Matarneh, Vyacheslav V. Lyashenko
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
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Aug 07, 2017Open    AccessArticle

Three Types of Episodic Associations for the Semantic/Syntactic/Episodic Model of Language Prospective in Applications to the Statistical Translation

Zi-Jian Cai
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
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Nov 16, 2016Open    AccessArticle

Parkinson’s Disease Diagnosis: Detecting the Effect of Attributes Selection and Discretization of Parkinson’s Disease Dataset on the Performance of Classifier Algorithms

Gamal Saad Mohamed
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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Jun 08, 2016Open    AccessArticle

Principles Derived from Neurolinguistics of Brain for Design of Translation Machines

Zi-Jian Cai
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
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Jul 21, 2015Open    AccessArticle

Semantic Memory Association, Procedural Grammar Syntax and Episodic Modality Coordination as Three Interactive Neural Processes Organizing Language: A Model

Zi-Jian Cai
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

Gray Level Image Edge Detection Using a Hybrid Model of Cellular Learning Automata and Stochastic Cellular Automata

Nasim Vatani, Rasul Enayatifar
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...


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