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Keyword: Robust
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Open AccessArticle
13 Pages, 1,385 KB Download PDF

Real Time Implementation of an Improved Hybrid Fuzzy Sliding Mode Observer Estimator

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 1, Page # 214–226, 2017; DOI: 10.25046/aj020126
Abstract:

This paper extends some of our research results disseminated in the most recent awarded international conference paper concerning the implementation in real time of a sliding mode observer state estimator. For the same case study developed in the conference paper, more precisely a DC servomotor angular speed control system, we extend the proposed concept of…

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(This article belongs to the SP2 (Special Issue on Computer Systems, Information Technology, Electrical and Electronics Engineering 2017) & Section Automation & Control Systems (ACS))
Open AccessArticle
8 Pages, 812 KB Download PDF

Detailed Analysis of Torque Ripple in High Frequency Signal Injection based Sensor less PMSM Drives

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 1, Page # 206–213, 2017; DOI: 10.25046/aj020125
Abstract:

High Frequency Signal Injection based techniques are robust and well proven to estimate the rotor position from stand still to low speed. However, Injected high frequency signal introduces, high frequency harmonics in the motor phase currents and results in significant Output Torque ripple. There is no detailed analysis exist in the literature, to study the…

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(This article belongs to the SP2 (Special Issue on Computer Systems, Information Technology, Electrical and Electronics Engineering 2017) & Section Electrical Engineering (ELE))
Open AccessReview
7 Pages, 729 KB Download PDF

Recent Trends in ELM and MLELM: A review

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 1, Page # 69–75, 2017; DOI: 10.25046/aj020108
Abstract:

Extreme Learning Machine (ELM) is a high effective learning algorithm for the single hidden layer feed forward neural networks. Compared with the existing neural network learning algorithm it solves the slow training speed and over-fitting problems. It has been used in different fields and applications such as biomedical engineering, computer vision, remote sensing, chemical process…

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(This article belongs to the SP2 (Special Issue on Computer Systems, Information Technology, Electrical and Electronics Engineering 2017) & Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
8 Pages, 1,522 KB Download PDF

Dynamic detection of abnormalities in video analysis of crowd behavior with DBSCAN and neural networks

Advances in Science, Technology and Engineering Systems Journal, Volume 1, Issue 5, Page # 56–63, 2016; DOI: 10.25046/aj010510
Abstract:

Visual analysis of human behavior is a broad field within computer vision.  In this field of work, we are interested in dynamic methods in the analysis of crowd behavior which consist in detecting the abnormal entities in a group in a dense scene. These scenes are characterized by the presence of a great number of…

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(This article belongs to the Special issue on Recent Advances in Electrical and Electronics Engineering 2016 & Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
8 Pages, 2,081 KB Download PDF

A Comparative Study For Color Systems Used In The DCT-DWT Watermarking Algorithm

Advances in Science, Technology and Engineering Systems Journal, Volume 1, Issue 5, Page # 42–49, 2016; DOI: 10.25046/aj010508
Abstract:

This paper presents a comparative study of using different color systems on watermarking algorithms. This comparison aim is to determining the robustness and the stability of the color systems used in the watermarking scheme. The watermarking algorithm that is used in this paper is a hybrid scheme using the Discrete Wavelet Transform (DWT) in the…

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(This article belongs to the Special issue on Recent Advances in Electrical and Electronics Engineering 2016 & Section Imaging Science & Photographic Technology (IPT))
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