@mastersthesis {3310,
	title = {Apport de l\&rsquo;automatique moderne dans les r{\'e}seaux mobiles},
	year = {In Preparation},
	type = {Doctorat en Sciences},
	author = {Belkacem Bekkar}
}
@mastersthesis {3309,
	title = {Contribution {\`a} l\&rsquo;{\'e}tude des performances des syst{\`e}mes radio mobiles},
	year = {In Preparation},
	type = {Doctorat en Sciences},
	author = {Riad Saidi}
}
@mastersthesis {3308,
	title = {Contribution {\`a} la mod{\'e}lisation et au d{\'e}veloppement de lois de commande intelligentes},
	year = {In Preparation},
	type = {Doctorat en Sciences},
	author = {Fawzi Srairi}
}
@article {6428,
	title = {Numerical Modeling and Heuristic Algorithms for Nanogenerator Behavior Analysis},
	year = {Submitted},
	author = {A Dib and Hassam, A and K Srairi and L Saidi}
}
@article {6465,
	title = {BBO-Based State Optimization for PMSM Machines},
	journal = {Vietnam Journal of Computer Science},
	year = {2021},
	pages = {1-24},
	publisher = {World Scientific},
	isbn = {2196-8888},
	author = {Lakehal, Hanane and Mouna GHANAI and Kheireddine CHAFAA}
}
@article {6459,
	title = {A Fast Firefly Algorithm for Function Optimization: Application to the Control of BLDC Motor},
	journal = {Sensors},
	volume = {21},
	number = {16},
	year = {2021},
	pages = {5267},
	publisher = {Multidisciplinary Digital Publishing Institute},
	author = {Bazi, Smail and Redha Benzid and Bazi, Yakoub and Rahhal, Mohamd Mahmoud Al}
}
@article {6460,
	title = {Generating multidirectional variable hidden attractors via newly commensurate and incommensurate non-equilibrium fractional-order chaotic systems},
	journal = {Entropy},
	volume = {23},
	number = {3},
	year = {2021},
	pages = {261},
	publisher = {MDPI},
	isbn = {1099-4300},
	author = {Debbouche, Nadjette and Momani, Shaher and Ouannas, Adel and Shatnawi, {\textquoteright}Mohd Taib{\textquoteright} and Grassi, Giuseppe and Zohir Dibi and Batiha, Iqbal M}
}
@article {6457,
	title = {Genetic robust kernel sample selection for chemometric data analysis},
	journal = {Journal of Chemometrics},
	volume = {35},
	number = {6},
	year = {2021},
	pages = {e3344},
	publisher = {Wiley Online Library},
	isbn = {0886-9383},
	author = {Fouzi Douak and Ghoggali, Noureddine and Hedjam, Rachid and Mekhalfi, Mohamed Lamine and Nabil Benoudjit and Melgani, Farid}
}
@article {6463,
	title = {Hyperchaotic fractional Grassi{\textendash}Miller map and its hardware implementation},
	journal = {Integration},
	volume = {80},
	year = {2021},
	pages = {13-19},
	publisher = {Elsevier},
	isbn = {0167-9260},
	author = {Ouannas, Adel and Khennaoui, Amina Aicha and Oussaeif, Taki-Eddine and Pham, Viet-Thanh and Grassi, Giuseppe and Zohir Dibi}
}
@article {6466,
	title = {Metaheuristic Optimization of PD and PID Controllers for Robotic Manipulators},
	journal = {Journal Europ{\'e}en des Syst{\`e}mes Automatis{\'e}s},
	volume = {54},
	number = {6},
	year = {2021},
	pages = {835-845},
	author = {Bounouara, Nadia and Mouna GHANAI and Kheireddine CHAFAA}
}
@article {6458,
	title = {A multistage algorithm design for electrocardiogram signal denoising},
	journal = {Journal of Circuits, Systems and Computers},
	volume = {30},
	number = {04},
	year = {2021},
	pages = {2150061},
	publisher = {World Scientific},
	isbn = {0218-1266},
	author = {Harkat, Amel and Redha Benzid and Athamena, Noureddine}
}
@article {6461,
	title = {Performance Assessment of a New Gaussian-doped Junctionless ISFET: A Numerical Study},
	year = {2021},
	publisher = {Sumy State University},
	author = {Khadidja, Dibi and Dibi Zohir and Ahmed, Bouridane}
}
@article {6462,
	title = {Performance Assessment of a New Gaussian-doped Junctionless ISFET: A Numerical Study},
	journal = {Journal of Nano-and Electronic Physics},
	volume = {13},
	number = {2},
	year = {2021},
	publisher = {Sumy State University, Journal of Nano-and Electronic Physics},
	isbn = {2077-6772},
	author = {Dibi, Khadidja and Zohir Dibi and Bouridane, Ahmed}
}
@article {6464,
	title = {Position and speed estimation of PMSM based on extended Kalman filter tuned by biogeography-based-optimization},
	journal = {Journal Europ{\'e}en des Syst{\`e}mes Automatis{\'e}s},
	volume = {54},
	number = {4},
	year = {2021},
	pages = {559-568},
	author = {Allaoui, Samia and Laamari, Yahia and Kheireddine CHAFAA and Saad, Salah}
}
@article {6473,
	title = {A comparative study on scaling capabilities of Si and SiGe nanoscale double gate tunneling FETs},
	journal = {Silicon},
	volume = {12},
	number = {4},
	year = {2020},
	pages = {945-953},
	publisher = {Springer},
	isbn = {1876-9918},
	author = {Toufik Bentrcia and Fay{\c c}al Djeffal and Hichem Ferhati and Zohir Dibi}
}
@article {6479,
	title = {Comparison between a Passive and Active Suspension Vehicle using PID and Fuzzy Controllers with Two Entries Applied on Quarter Vehicle Model},
	journal = {system},
	volume = {8},
	year = {2020},
	pages = {9},
	author = {Salah, SOUDANI Mohamed and Elmoundher, AOUICHE and Abdelaziz, AOUICHE and Mounia, TALEB and Chafaa Kheireddine and Zaamouche, Fares}
}
@article {6474,
	title = {On Dynamics of a Fractional-Order Discrete System with Only One Nonlinear Term and without Fixed Points},
	journal = {Electronics},
	volume = {9},
	number = {12},
	year = {2020},
	pages = {2179},
	publisher = {Multidisciplinary Digital Publishing Institute},
	author = {Khennaoui, Amina-Aicha and Ouannas, Adel and Momani, Shaher and Batiha, Iqbal M and Zohir Dibi and Grassi, Giuseppe}
}
@article {6468,
	title = {ECG signal denoising by fractional wavelet transform thresholding},
	journal = {Research on Biomedical Engineering},
	volume = {36},
	number = {3},
	year = {2020},
	pages = {349-360},
	publisher = {Springer},
	isbn = {2446-4740},
	author = {Houamed, Ibtissem and Lamir Saidi and Fawzi Srairi}
}
@article {6478,
	title = {Electrocardiogram Signal Denoising by Hilbert Transform and Synchronous Detection},
	journal = {International Journal Bioautomation},
	volume = {24},
	number = {4},
	year = {2020},
	pages = {323},
	publisher = {Bulgarska Akademiya na Naukite/Bulgarian Academy of Sciences},
	isbn = {1314-1902},
	author = {Ouali, Mohammed Assam and Tinouna, Asma and Mouna GHANAI and Kheireddine CHAFAA}
}
@article {6470,
	title = {Fractional Wavelet-based QRS Detector},
	journal = {International Journal on Electrical Engineering and Informatics},
	volume = {12},
	number = {1},
	year = {2020},
	pages = {82-93},
	publisher = {School of Electrical Engineering and Informatics, Bandung Institute of~{\textellipsis}},
	isbn = {2085-6830},
	author = {Houamed, Ibtissem and Lamir Saidi}
}
@article {6467,
	title = {Improved InxGa1_xP/GaAs/Ge tandem solar cell using light trapping engineering and multi-objective optimization approach},
	journal = {Optik},
	volume = {223},
	year = {2020},
	pages = {165346},
	publisher = {Elsevier},
	isbn = {0030-4026},
	author = {H BENCHERIF and Dehimi, L and Pezzimenti, F and Yousfi, A and Abdi, MA and L Saidi and Della Corte, FG}
}
@article {6472,
	title = {A LINEAR HYBRID MULTI-USER DETECTOR BASED ON SUCCESSIVE INTERFERENCE CANCELLATION AND DECORRELATOR DETECTOR FOR DS/CDMA SYSTEM},
	journal = {Telecommunications and Radio Engineering},
	volume = {79},
	number = {1},
	year = {2020},
	publisher = {Begel House Inc.},
	abstract = {
	A linear hybrid multi-user detector in synchronous direct sequence code division multiple access systems (DS/CDMA) is performed by using linear successive interference cancellation detector (SIC) and linear decorrelator detector in order to exploit the advantages offered by the two detectors. Its main objectives are to reduce the long detection delay times and to improve the performance compared to that of the conventional SIC. Finally, theoretical and simulation results are in perfect agreement demonstrating the effectiveness of the elaborated scheme.

},
	isbn = {0040-2508},
	url = {https://www.dl.begellhouse.com/journals/0632a9d54950b268,706f31e606bab3dd,36a6efc579c49fe3.html},
	author = {Yakhelef, Mohammed and L Saidi}
}
@article {6471,
	title = {Low-complexity iterative detection based on parametric aor for uplink massive mimo systems},
	journal = {Telecommunications and Radio Engineering},
	volume = {79},
	number = {18},
	year = {2020},
	publisher = {Begel House Inc.},
	isbn = {0040-2508},
	author = {Yakhelef, Mohammed and L Saidi}
}
@article {6475,
	title = {Modeling of a smart nano force sensor using finite elements and neural networks},
	journal = {International Journal of Automation and Computing},
	volume = {17},
	number = {2},
	year = {2020},
	pages = {279-291},
	publisher = {Springer},
	isbn = {1751-8520},
	author = {Menacer, Farid and Kadr, Abdelmalek and Zohir Dibi}
}
@article {6469,
	title = {New Thresholding Technique in DCT Domain for Interference Mitigation in GNSS Receivers.},
	journal = {Traitement du Signal},
	volume = {37},
	number = {2},
	year = {2020},
	isbn = {0765-0019},
	author = {Khezzar, Zaki Aissam and Redha Benzid and Lamir Saidi}
}
@article {6481,
	title = {Stable and robust control strategy using interval-valued fuzzy systems},
	journal = {International Journal of Applied},
	volume = {9},
	number = {3},
	year = {2020},
	pages = {205-217},
	author = {Bounouara, Nadia and Mouna GHANAI and Ali MEDJGHOU and Kheireddine CHAFAA}
}
@article {6477,
	title = {TLBO Optimization Algorithm Based-Type2 Fuzzy Adaptive Filter for ECG Signals Denoising.},
	journal = {Traitement du Signal},
	volume = {37},
	number = {4},
	year = {2020},
	isbn = {0765-0019},
	author = {Ouali, Mohammed Assam and Mouna GHANAI and Kheireddine CHAFAA}
}
@article {6476,
	title = {TLBO Optimization Algorithm Based-Type2 Fuzzy Adaptive Filter for ECG Signals Denoising},
	year = {2020},
	abstract = {
	A novel type2-fuzzy adaptive filter is presented, which uses the concepts of type2-fuzzy logic, for electrocardiogram signals denoising. Type2-fuzzy adaptive filter is an information processor where both numerical and linguistic information are used as input-output pairs and fuzzy if-then rules, respectively. The proposed approach is based on an iterative procedure to achieve acceptable information extraction in the case where the statistical characteristics of the input-output signals are unknown. The proposed filter is presented as a dual-layered feedback system. Each layer has different function, the first layer being the type2-fuzzy autoregressive filter model. The second layer being responsible for training the membership function parameters. The second layer adjusts the type2-fuzzy adaptive filter parameters by using a teaching learning-based optimization algorithm (TLBO), which will allow the reaching of the required signal reconstruction by decreasing the criterion function. The proposed filter is validated and evaluated through some experimentations using the MIT-BIH ECGs databases where various artifacts were added to the ECGs signals; these included real and artificial noise. For comparison purposes, both model and non-modelbased methods recently published are used. Furthermore, the effect of the proposed filter on the malformation of diagnostic features of the ECG was studied and compared with several benchmark schemes. The results show that the proposed method performs better denoising for all noise power levels and for a different criteria viewpoint.

},
	url = {https://web.s.ebscohost.com/abstract?direct=true\&profile=ehost\&scope=site\&authtype=crawler\&jrnl=07650019\&AN=146780303\&h=N2i21dFeLgCU7H9JoLRXkM1ThzAR1yCC9Ph5e3OurpPPABNHhtiagRyxpqckPTEwhfHhzJxO5\%2fmNtP520iL1jA\%3d\%3d\&crl=c\&resultNs=AdminWebAuth\&resultLocal=},
	author = {Ouali, Mohammed Assam and Mouna GHANAI and Kheireddine CHAFAA}
}
@proceedings {6447,
	title = {Characterization of Melanoma Using Convolutional Neural Networks and Dermoscopic Images},
	journal = {International Conference on Electrical Engineering and Control Applications},
	year = {2019},
	pages = {1147-1155},
	publisher = {Springer},
	author = {Abdelghani Tafsast and Mohamed Laid Hadjili and Ayache Bouakaz and Nabil Benoudjit}
}
@proceedings {6480,
	title = {Comparison between a Passive and Active Suspension Vehicle using PID and Fuzzy Controllers with Two Entries Applied on Quarter Vehicle Model},
	journal = {2019 1st International Conference on Sustainable Renewable Energy Systems and Applications (ICSRESA)},
	year = {2019},
	pages = {1-6},
	publisher = {IEEE},
	isbn = {1728153565},
	author = {Soudani, Mohamed Salah and Aouiche, Abdelaziz and Kheireddine CHAFAA and Aouiche, Elmoundher and Taleb, Mounia and Fares, Zaamouche}
}
@article {6444,
	title = {An efficient human activity recognition technique based on deep learning},
	journal = {Pattern Recognition and Image Analysis},
	volume = {29},
	number = {4},
	year = {2019},
	pages = {702-715},
	publisher = {Springer},
	isbn = {1555-6212},
	author = {Aziz Khelalef and Fakhreddine Ababsa and Nabil Benoudjit}
}
@article {6436,
	title = {Improving the efficiency of a-Si: H/c-Si thin heterojunction solar cells by using both antireflection coating engineering and diffraction grating},
	journal = {Optik},
	volume = {182},
	year = {2019},
	pages = {682-693},
	publisher = {Elsevier},
	isbn = {0030-4026},
	author = {H BENCHERIF and Dehimi, L and Pezzimenti, F and Della Corte, FG}
}
@proceedings {6439,
	title = {Position Control of an Induction Machine Using the Fuzzy Passivity Mode},
	journal = {2019 1st International Conference on Sustainable Renewable Energy Systems and Applications (ICSRESA)},
	year = {2019},
	pages = {1-5},
	publisher = {IEEE},
	isbn = {1728153565},
	author = {Aissi  Salim and Aouadj Mounir}
}
@proceedings {6445,
	title = {Automatic microemboli characterization using convolutional neural networks and radio frequency signals},
	journal = {2018 International Conference on Communications and Electrical Engineering (ICCEE)},
	year = {2018},
	pages = {1-4},
	publisher = {IEEE},
	isbn = {1728101123},
	author = {Abdelghani Tafsast and Karim Ferroudji and Mohamed Laid Hadjili and Ayache Bouakaz and Nabil Benoudjit}
}
@article {6452,
	title = {BBO optimization of an EKF for interval type-2 fuzzy sliding mode control},
	journal = {International Journal of Computational Intelligence Systems},
	volume = {11},
	number = {1},
	year = {2018},
	pages = {770},
	publisher = {Atlantis Press BV},
	isbn = {1875-6891},
	author = {Ali MEDJGHOU and Mouna GHANAI and Kheireddine CHAFAA}
}
@article {6440,
	title = {Efficient algorithm for baseline wander and powerline noise removal from ECG signals based on discrete Fourier series},
	journal = {Australasian physical \& engineering sciences in medicine},
	volume = {41},
	number = {1},
	year = {2018},
	pages = {143-160},
	publisher = {Springer},
	isbn = {1879-5447},
	author = {Mohamed Bahaz and Redha Benzid}
}
@article {6431,
	title = {An Efficient ANN Interference Cancelation for High Order Modulation over Rayleigh Fading Channel},
	journal = {Journal of Telecommunications and Information Technology},
	year = {2018},
	isbn = {1509-4553},
	author = {Fateh Bouguerra and Lamir Saidi}
}
@article {6454,
	title = {Extended Kalman filter based states estimation of unmanned quadrotors for altitude-attitude tracking control},
	journal = {Advances in Electrical and Electronic Engineering},
	volume = {16},
	number = {4},
	year = {2018},
	pages = {446-458},
	isbn = {1804-3119},
	author = {Mouna GHANAI and Ali MEDJGHOU and Kheireddine CHAFAA}
}
@article {6451,
	title = {Fuzzy sliding mode control based on backstepping synthesis for unmanned quadrotors},
	journal = {Advances in Electrical and Electronic Engineering},
	volume = {16},
	number = {2},
	year = {2018},
	pages = {135-146},
	isbn = {1804-3119},
	author = {Ali MEDJGHOU and Noureddine SLIMANE and Kheireddine CHAFAA}
}
@article {6453,
	title = {Improved feedback linearization control based on PSO optimization of an extended Kalman filter},
	journal = {Optimal Control Applications and Methods},
	volume = {39},
	number = {6},
	year = {2018},
	pages = {1871-1886},
	publisher = {Wiley Online Library},
	isbn = {0143-2087},
	author = {Ali MEDJGHOU and Mouna GHANAI and Kheireddine CHAFAA}
}
@article {6449,
	title = {A new type-2 fuzzy modelling and identification for electrophysiological signals: a comparison between PSO, BBO, FA and GA approaches},
	journal = {International Journal of Modelling, Identification and Control},
	volume = {29},
	number = {2},
	year = {2018},
	pages = {163-184},
	publisher = {Inderscience Publishers (IEL)},
	isbn = {1746-6172},
	author = {Ouali, Mohammed Assam and Mouna GHANAI and Kheireddine CHAFAA}
}
@article {6455,
	title = {Progressive image secret sharing scheme based on Boolean operations with perfect reconstruction capability},
	journal = {Information Security Journal: A Global Perspective},
	volume = {27},
	number = {1},
	year = {2018},
	pages = {14-28},
	publisher = {Taylor \& Francis},
	isbn = {1939-3555},
	author = {Merabet, Nour El Houda Asma and Redha Benzid}
}
@article {6432,
	title = {RF/analog performances enhancement of short channel GAAJ MOSFET using source/drain extensions and metaheuristic optimization-based approach},
	journal = {Journal of Telecommunication, Electronic and Computer Engineering (JTEC)},
	volume = {10},
	number = {2},
	year = {2018},
	pages = {81-90},
	isbn = {2289-8131},
	author = {Yousfi, A and Dibi, Z and S Aissi and H BENCHERIF and L Saidi}
}
@proceedings {6437,
	title = {Role of High-K and gate engineering in improving Rf/analog performances of In 0.2 Ga0. 8As/Al0. 3Ga0. 7As HEMT},
	journal = {2018 International Conference on Communications and Electrical Engineering (ICCEE)},
	year = {2018},
	pages = {1-4},
	publisher = {IEEE},
	isbn = {1728101123},
	author = {Yousfi Abderrahim and Bencherif Hichem and Saidi Lamir and Amir, Abdi Mohamed}
}
@proceedings {6435,
	title = {Simplified ANN for 256 QAM Symbol Equalization Over OFDM Rayleigh Channel},
	journal = {2018 International Conference on Smart Communications in Network Technologies (SaCoNeT)},
	year = {2018},
	pages = {19-24},
	publisher = {IEEE},
	isbn = {153869493X},
	author = {Fateh Bouguerra and Lamir Saidi}
}
@article {6450,
	title = {Upper envelope detection of ECG signals for baseline wander correction: a pilot study},
	journal = {Turkish Journal of Electrical Engineering \& Computer Sciences},
	volume = {26},
	number = {2},
	year = {2018},
	pages = {803-816},
	publisher = {The Scientific and Technological Research Council of Turkey},
	isbn = {1300-0632},
	author = {Ouali, Mohammed Assam and Mouna GHANAI and Kheireddine CHAFAA}
}
@proceedings {3268,
	title = {Automatic microemboli classification using convolutional neural networks and  RF signals},
	journal = {International Conference on Communications and Electrical and Engineering,University of , Algeria ,  December 17-18 },
	year = {2018},
	pages = {1-4},
	address = {El Oued, Alg{\'e}rie},
	author = {Abdelghani Tafsast and Karim Ferroudji and Mohamed Laid Hadjijli and Ayache Bouakaz and Nabil Benoudjit}
}
@proceedings {3172,
	title = {Simplified ANN for 256 QAM Symbol Equalization Over OFDM Rayleigh Channel},
	journal = {7th IEEE International Conference on Smart Communications in Network Technologies (SACONET{\textquoteright}18), October 27-31},
	year = {2018},
	address = { Eloued - Algeria},
	author = {Fateh Bouguerra and Lamir Saidi}
}
@article {3162,
	title = {Modeling and Simulation of Double Gate Field Plate In0.2Ga0.8 As/Al0.3 Ga0.7 as HEMT using Gaussian Process Regression for Sensor Application},
	journal = {Research Journal of Applied Sciences, Engineering and Technology, Vol. 14, no3, pp. 112-118, 2017.DOI:10.19026/rjaset.14.4153ISSN: 2040-7459e-ISSN: 2040-7467},
	volume = {14},
	number = {3},
	year = {2018},
	pages = {112-118},
	abstract = {
	We propose a new approach for modeling a High Electron Mobility Transistor (HEMT) using that of Gaussian Process Regression one (GPR), to improve the current-voltage characteristics of HEMT transistor for using in electronic and biological domain or any other domain that needs it. The study and development of a new Atlas Silvaco device are taking into account the impact of several geometric and electric parameters; we focus on the electrical performances of the double gate field plate In0.2Ga0.8As/Al0.3Ga0.7As HEMT including double heterostructure; we compare the numerical simulation using 2D Atlas Silvaco simulator with the extracted experimental results. Then we validate our model by GPR approach. The GPR approach opens promising opportunities for devices modeling without knowing too much the device physics properties. The obtained results give better performances which lead to fabricate devices with better electrical properties for promoting further investigation.

},
	author = {Abderrahim Yousfi and Zohir Dibi and Mawloud Guermoui and Salim Aissi}
}
@article {3161,
	title = {A.Yousfi, Z.Dibi, S.Aissi, H.Bencherif and L.SaidiRF/Analog Performances Enhancement of Short Channel GAAJ MOSFET using Source/Drain Extensions and Metaheuristic Optimization-based Approach},
	journal = {Journal of Telecommunication, Electronic and Computer Engineering, Vol. 10 No. 2, pp. 81-90.ISSN: 2180 {\textendash} 1843 e-ISSN: 2289-8131},
	volume = {10},
	number = {2},
	year = {2018},
	pages = {81-90},
	abstract = {
	This paper presents a hybrid strategy combining compact analytical models of short channel Gate-All-Around Junctionless (GAAJ) MOSFET and metaheuristic-based approach for parameters optimization. The proposed GAAJ MOSFET design includes highly extension regions doping. The aim is to investigate the impact of this design on the RF and analog performances systematically and to show the immunity behavior against the short channel effects (SCEs) degradation. In this context, an analytical model via the meticulous solution of 2D Poisson equation, incorporating source/drain (S/D) extensions effect, has been developed and verified by comparing it with TCAD simulation results. A comparative evaluation between the proposed GAAJ MOSFET structure and the classical device in terms of RF/Analog performances is also investigated. The proposed design provides RF/Analog performances improvement. Furthermore, based on the presented analytical models, Genetic Algorithms (GA) optimization approach is used to optimize the design of S/D parameters. The optimized structure exhibits better performances, i.e., cut-off frequency and drive current are improved. Besides, it shows superior immunity behavior against the RF/Analog degradation due to the unwanted SCEs. The insights offered by the proposed paradigm will help to enlighten designer in future challenges facing the GAAJ MOSFET technology for high RF/analog applications.

},
	author = {Yousfi Abderrahim and Salim Aissi and Hichem Bencherif and Lamir Saidi}
}
@article {3158,
	title = {Progressive image secret sharing scheme based on Boolean operations with perfect reconstruction capability},
	journal = {Information Security Journal: A Global Perspective },
	volume = {27},
	number = {1},
	year = {2018},
	pages = { 14-28},
	abstract = {
	Unlike traditional visual cryptography based on a threshold mechanism in which the secret image can be revealed by stacking\&nbsp;k,(2<=k<=n)\&nbsp;shadows or more. In our suggested (kk,nn) progressive secret sharing scheme with unexpanded pixel, we could obtain until\&nbsp;n-1n-1\&nbsp;revealed secret images with progressive enhanced contrast in an increasing way from the lowest quality, in the case of stacking two shares, to a highest quality in the case of stacking all the\&nbsp;nn\&nbsp;shares. Our scheme not only has the advantage of the unexpanded shares, but also the use of very simple Boolean XOR and OR operations to recover the secret image perfectly. Moreover, the proposed scheme does not need any codebooks to construct shares. The experimental results indicate the privilege of our method compared with the other related work.

},
	author = {Nour-El-Houda-Asma Merabet and Redha Benzid}
}
@article {3157,
	title = {Efficient algorithm for baseline wander and powerline noise removal from ECG signals based on discrete Fourier series},
	journal = {Australasian Physical \& Engineering Sciences in Medicine},
	volume = {41},
	number = {1},
	year = {2018},
	pages = {143{\textendash}160},
	abstract = {Electrocardiogram (ECG) signals are often contaminated with artefacts and noises which can lead to incorrect diagnosis when they are visually inspected by cardiologists. In this paper, the well-known discrete Fourier series (DFS) is re-explored and an efficient DFS-based method is proposed to reduce contribution of both baseline wander (BW) and powerline interference (PLI) noises in ECG records. In the first step, the determination of the exact number of low frequency harmonics contributing in BW is achieved. Next, the baseline drift is estimated by the sum of all associated Fourier sinusoids components. Then, the baseline shift is discarded efficiently by a subtraction of its approximated version from the original biased ECG signal. Concerning the PLI, the subtraction of the contributing harmonics calculated in the same manner reduces efficiently such type of noise. In addition of visual quality results, the proposed algorithm shows superior performance in terms of higher signal-to-noise ratio and smaller mean square error when faced to the DCT-based algorithm.},
	author = {Mohamed Bahaz and Redha Benzid}
}
@article {3156,
	title = {Extended Kalman filter based states estimation of unmanned quadrotors for altitude-attitude tracking control},
	journal = {Advances in Electrical and Electronic Engineering },
	volume = {16},
	number = {4},
	year = {2018},
	pages = {446-458},
	abstract = {
	In this paper, state variables estimation and Fuzzy Sliding Mode Control (FSMC) are presented in order to estimate the state variables and altitude-attitude tracking control in presence of internal and external disturbances for unmanned quadrotor. The main idea of the proposed control strategy is the development of an Extended Kalman Filter (EKF) for the observation of the states. Fuzzy logic systems are used to adapt the unknown switching-gains to eliminate the chattering phenomenon induced by Sliding Mode Control (SMC). The stability of the system is guaranteed in the sense of Lyapunov. The effectiveness and robustness of the proposed controller-observer scheme that takes into account internal and external disturbances are demonstrated on computer simulation using Matlab environment.

},
	author = {Mouna GHANAI and Ali MEDJGHOU and Kheireddine CHAFAA}
}
@article {3154,
	title = {Improved feedback linearization control based on PSO optimization of an extended Kalman filter},
	journal = {Journal of Optimal Control Applications \& Methods},
	volume = {39},
	number = {6},
	year = {2018},
	pages = {1871-1886},
	abstract = {
	A robust nonlinear controller based on an improved feedback linearization technique with state observer in presence of uncertainties and external disturbances is developed for a class of nonlinear systems. First, by combining classical feedback linearization approach with a robust control term and a fuzzy logic system, we design and study an efficient controller for such systems. Second, we propose an optimized extended Kalman filter for the observation of the states. The parameters to be optimized are the covariance matrices\&nbsp;Q\&nbsp;and\&nbsp;G, which play an important role in the extended Kalman filter performances. This optimization is insured by the particle swarm optimization algorithm. The Lyapunov synthesis approach is used to prove the stability of the whole control loop. The proposed approach is simulated on a nonlinear inverted-pendulum system. Simulation results demonstrate the robustness and effectiveness of the proposed scheme and exhibit a more superior performance than its conventional counterpart.

},
	author = {Ali MEDJGHOU and Mouna GHANAI and Kheireddine CHAFAA}
}
@article {3153,
	title = {BBO optimization of an EKF for interval type-2 fuzzy sliding mode control},
	journal = {International Journal of Computational Intelligence Systems},
	volume = {11},
	number = {1},
	year = {2018},
	pages = {770{\textendash}789},
	abstract = {
	In this study, an optimized extended Kalman filter (EKF), and an interval type-2 fuzzy sliding mode control (IT2FSMC) in presence of uncertainties and disturbances are presented for robotic manipulators. The main contribution is the proposal of a novel application of Biogeography-Based Optimization (BBO) to optimize the EKF in order to achieve high performance estimation of states. The parameters to be optimized are the covariance matrices\&nbsp;Q\&nbsp;and\&nbsp;R, which play an important role in the performances of EKF. The interval type-2 fuzzy logic system is used to avoid chattering phenomenon in the sliding mode control (SMC). Lyapunov theorem is used to prove the stability of control system. The suggested control approach is demonstrated using a computer simulation of two-link manipulator. Finally, simulations results show the robustness and effectiveness of the proposed scheme, and exhibit a more superior performance than its conventional counterpart.

},
	author = {Ali MEDJGHOU and Mouna GHANAI and Kheireddine CHAFAA}
}
@article {3152,
	title = {Fuzzy Sliding Mode Control Based on Backstepping Synthesis for Unmanned Quadrotors},
	journal = {Power Engineering and Electrical Engineering Journal, Volume: 16, number: 2, 2018.DOI: 10.15598/aeee.v16i2.2231ISSN 1336-1376 (Print) ISSN 1804-3119 (Online)},
	volume = {16},
	number = {2},
	year = {2018},
	pages = {135-146},
	abstract = {
	The main purpose of this paper is to integrate fuzzy logic technique and backstepping synthesis to sliding mode control to develop a Fuzzy Backstepping-Sliding Mode Controller (FBSMC) to resolve the problem of altitude and attitude tracking control of unmanned quadrotor systems under large external disturbances. First, a backstepping-sliding mode control for quadrotor is introduced. Moreover, a fuzzy logic system is employed to adapt the unknown switching gains to eliminate the chattering phenomenon induced by switching control on the conventional Backstepping-Sliding Mode Controller (BSMC). The dynamical motion equations are obtained by EulerNewton formalism. The stability of the system is guaranteed in the sense of the Lyapunov stability theorem. Simulation results are carried out using Matlab/Simulink environment to illustrate the effectiveness and robustness of the proposed controller.

},
	author = {Ali MEDJGHOU and Noureddine SLIMANE and Kheireddine CHAFAA}
}
@article {3151,
	title = {Upper envelope detection of ECG signals for baseline wander correction: a pilot study},
	journal = {Turkish Journal of Electrical Engineering \& Computer Sciences, Vol. 26, pp. 803-816, 2018.http://journals.tubitak.gov.tr/elektrik/index.htmhttps://doi:10.3906/elk-1705-165E-ISSN: 1303-6203 ISSN: 1300-0632},
	volume = {26},
	year = {2018},
	abstract = {
	Baseline wander (BW) is a common low frequency artifact in electrocardiogram (ECG) signals. The prime cause from which BW arises is the patient{\textquoteright}s breathing and movement. To facilitate reliable visual interpretation of the ECG and to discern particular patterns in the ECG signal, BW needs to be removed. In this paper, a novel BW removal method is presented. The hypothesis is based on the observation that ECG signal variation covaries with its BW. As such, the P, Q, R, S, and T peaks will follow the baseline drift. On this basis, the following proposition is true: a reliable approximation of the baseline drift can be obtained from the shape derived from the interpolation of one form of the ECG signal peak (peak envelope). The simulation was performed by adding artificial BW to ECG signal recordings. The signal-to-noise ratio, mean squared error, and improvement factor criteria were used to numerically evaluate the performance of the proposed approach. The technique was compared to that of the Hilbert vibration decomposition method, an empirical-mode decomposition technique and mathematical morphology. The results of the simulation indicate that the proposed technique is most effective in situations where there is a considerable distortion in the baseline wandering.

},
	author = {Mohammed-Assam OUALI and Mouna GHANAI and Kheireddine CHAFAAA}
}
@article {3150,
	title = {new type-2 fuzzy modelling and identification for electrophysiological signals: a comparison between PSO, BBO, FA and GA approaches},
	journal = {Int. J. Modelling, Identification and Control},
	volume = {29},
	number = {2},
	year = {2018},
	pages = {163-184},
	abstract = {
	In this investigation a novel type-2 fuzzy model for electrophysiological signals is presented. It is based on interval type-2 fuzzy systems. This method can deal with the curve fitting and computational time problems of type-2 fuzzy systems. This approach will significantly reduce the number of type-2 fuzzy rules and simultaneously preserve the fitting quality. The proposed model comprises a parallel interconnection of two type-2 sub-fuzzy models. The first is the primary model, which represents an ordinary model with a low resolution for the electrophysiological signal under consideration, the second is a fuzzy sub-model called the error model, which represents uncertainty in the primary model. Identification is achieved by innovative metaheuristic optimisation algorithms. The method{\textquoteright}s effectiveness is evaluated through testing on synthetic and real ECG signals. In addition, a detailed comparative study with several benchmark methods will be given. Intensive computer experimentations confirm that the proposed method can significantly improve convergence and resolution.

},
	author = {Mohammed-Assam OUALI and Mouna GHANAI and Kheireddine CHAFAAA}
}
@article {3118,
	title = {Optimal Distributed Power control in wireless cellular network based on Mixed Kalman/H\&infin; Filtering},
	journal = {International Journal of Electronics and Communications},
	volume = {90},
	year = {2018},
	pages = {103-109},
	abstract = {
	In any wireless\&nbsp;cellular network, power control is one of the most important dynamic\&nbsp;radio resource management\&nbsp;(RRM) schemes which increases the capacity and performance of the system. In this paper, we present a modified scheme to Distributed Power control that optimize the\&nbsp;transmission power\&nbsp;of mobile{\textquoteright}s and\&nbsp;signal-to-interference-plus-noise ratio\&nbsp;(SINR) error. This method, based on minimization of\&nbsp;performance criterion, achieves the minimum SINR error and\&nbsp;power consumption\&nbsp;at the next time instant. The Mixed Kalman/H$\infty$\&nbsp;Filter with\&nbsp;covariance\&nbsp;intersection has been applied in the proposed scheme to estimate and predict the\&nbsp;channel variation\&nbsp;and still ensure a good robustness. Finally, the mixed Kalman/H$\infty$\&nbsp;filter based power control method is compared with\&nbsp;Kalman filter\&nbsp;and\&nbsp;H$\infty$\&nbsp;filter based power control results show that our method\&nbsp;provides robustness\&nbsp;against practical impairments, such as\&nbsp;measurement uncertainties\&nbsp;and fast channel variations.

},
	author = {Belgacem Bekkar and Lamir Saidi}
}
@article {3117,
	title = {An Efficient ANN Interference Cancellation for High Order Modulation over Rayleigh Fading Channel},
	journal = {Journal of Telecommunications and Information Technology (JTIT)},
	volume = {8},
	number = {4},
	year = {2018},
	pages = {75-80},
	abstract = {
	High order modulation (HOM) presents a key challenge in increasing spectrum efficiency in 4G and upcoming 5G communication systems. In this paper, two non-linear adaptive equalizer techniques based on multilayer perceptron (MLP) and radial basis function (RBF) are designed and applied on HOM to optimize its performance despite its high sensitivity to noise and channel distortions. The artificial neural network{\textquoteright}s (ANN) adaptive equalizer architectures and learning methods are simplified to avoid more complexity and to ensure greater speed in symbol decision making. They will be compared with the following popular adaptive filters: least mean square (LMS) and recursive least squares (RLS), in terms of bit error rate (BER) and minimum square error (MSE) with 16, 64, 128, 256, 512 and 1024 quadrature amplitude modulation (QAM). By that, this work will show the advantage that the MLP equalizer has, in most cases, over RBF and traditional linear equalizers. {\textcopyright} 2018 National Institute of Telecommunications. All rights reserved.

},
	author = {Fateh Bouguerra and Lamir Saidi}
}
@proceedings {6438,
	title = {Analysis of wireless data transmission for the site survey of telemetry systems projects},
	journal = {Abu Dhabi International Petroleum Exhibition \& Conference},
	year = {2017},
	publisher = {OnePetro},
	author = {Aouadj, M and Sellami, D and F Naceri and S Aissi}
}
@article {6443,
	title = {An automated microemboli detection and classification system using backscatter RF signals and differential evolution},
	journal = {Australasian physical \& engineering sciences in medicine},
	volume = {40},
	number = {1},
	year = {2017},
	pages = {85-99},
	publisher = {Springer},
	isbn = {1879-5447},
	author = {Karim Ferroudji and Nabil Benoudjit and Ayache Bouakaz}
}
@article {6430,
	title = {Contribution to the performance of mobile radio systems by optimizing the Okumura Hata model by linear regression: Application to the city of Annaba in Algeria},
	journal = {International Journal on Electrical Engineering and Informatics},
	volume = {9},
	number = {4},
	year = {2017},
	pages = {677-689},
	publisher = {School of Electrical Engineering and Informatics, Bandung Institute of~{\textellipsis}},
	isbn = {2085-6830},
	author = {Riad Saidi and Lamir Saidi and el abidine Regai, Zine}
}
@proceedings {6434,
	title = {MLP and RBF symbol tracking with 16 QAM modulation over multipath distorted channel},
	journal = {2017 International Conference on Advanced Systems and Electric Technologies (IC_ASET)},
	year = {2017},
	pages = {182-187},
	publisher = {IEEE},
	isbn = {1509066349},
	author = {Fateh Bouguerra and Benacer, Imad and Lamir Saidi}
}
@article {6433,
	title = {Modeling and Simulation of Double Gate Field Plate In_ (0.2) Ga_ (0.8) As/Al_ (0.3) Ga_ (0.7) as HEMT using Gaussian Process Regression for Sensor Application},
	journal = {Research Journal of Applied Sciences, Engineering and Technology},
	volume = {14},
	number = {3},
	year = {2017},
	pages = {112-118},
	publisher = {Maxwell Science Publishing},
	isbn = {2040-7467},
	author = {Yousfi Abderrahim and Dibi Zohir and Mawloud, Guermoui and Aissi  Salim}
}
@article {6456,
	title = {Multilevel inverter with optimal THD through the firefly algorithm},
	journal = {Archives of Electrical Engineering},
	volume = {66},
	number = {1},
	year = {2017},
	isbn = {1427-4221},
	author = {El Mehdi Belkacem, RIADH and Redha Benzid and Noureddine Bouguechal}
}
@article {6441,
	title = {Particle Swarm Optimization of Non Uniform Rational B-Splines for Robot Manipulators Path Planning},
	journal = {Periodica Polytechnica Electrical Engineering and Computer Science},
	volume = {61},
	number = {4},
	year = {2017},
	pages = {337-349},
	isbn = {2064-5279},
	author = {Nadjib Zerrouki and Noureddine Gol{\'e}a and Nabil Benoudjit}
}
@article {6448,
	title = {A Robust Feedback Linearization Control Framework Using an Optimized Extended Kalman Filter.},
	journal = {Journal of Engineering Science \& Technology Review},
	volume = {10},
	number = {5},
	year = {2017},
	isbn = {1791-2377},
	author = {Ali MEDJGHOU and Mouna GHANAI and Kheireddine CHAFAA}
}
@article {6442,
	title = {Unsupervised cluster-based method for segmenting biological tumour volume of laryngeal tumours in 18 F-FDG-PET images},
	journal = {IET Image Processing},
	volume = {11},
	number = {6},
	year = {2017},
	pages = {389-396},
	publisher = {IET},
	isbn = {1751-9659},
	author = {Abdelghani Tafsast and Mohamed Laid Hadjili and Ayache Bouakaz and Nabil Benoudjit}
}
@mastersthesis {3312,
	title = {Analyse d\&$\#$39;image m{\'e}dicale par des m{\'e}thodes de regroupements : Application en canc{\'e}rologie},
	year = {2017},
	type = {Doctorat 3{\`e}me cycle LMD},
	author = {Abdelghani Tafsast}
}
@mastersthesis {3311,
	title = {Particle characterization by ultrasound using artificial intelligence methods},
	year = {2017},
	type = {Doctorat},
	author = {Karim Ferroudji}
}
@proceedings {3171,
	title = {MLP and RBF Symbol Tracking with 16 QAM Modulation Over Multipath Distorted Channel},
	journal = {International Conference on Advanced Systems and Electric Technologies (IC_ASET), January 14-17},
	year = {2017},
	pages = {182-187},
	address = {Hammamet - Tunisia},
	author = {Fateh Bouguerra and I Benacer and Lamir Saidi}
}
@proceedings {3168,
	title = {MLP and RBF Symbol Tracking with 16 QAM Modulation Over Multipath Distorted Channel},
	journal = {International Conference on Advanced Systems and Electrical Technologies, (IC-ASET{\textquoteright}2017) 14-17 January },
	year = {2017},
	address = { Hammamet, Tunisia},
	author = {Fateh Bouguerra and I Benacer and Lamir Saidi}
}
@article {3159,
	title = {Multilevel inverter with optimal THD through the firefly algorithm},
	journal = { Archives of Electrical Engineering},
	volume = {66},
	number = {1},
	year = {2017},
	pages = {141{\textendash}154},
	abstract = {
	Reduction of the Total Harmonic Distortion (THD) in multilevel inverters requires resolution of complex nonlinear transcendental equations; in this paper we propose a combination of one of the best existing optimized hardware structures with the recent firefly algorithm, which was used to optimize the THD, through finding the best switching angles and guaranteeing the minimization of harmonics within a user defined bandwidth. The obtained THD through the simulation of the thirteen-level symmetric inverter has been reduced down to 5\% (FFT of 60 harmonics). In order to validate the simulation results, a thirteen-level symmetric inverter prototype has been made, and practically experimented and tested with different loads. Consequently, the measured THD with resistive load was 4.7\% on a bandwidth of 3 kHz. The main advantage of the achieved work is the reduction of the THD.

},
	author = {Riadh-El-Mehdi Belkacem and Redha Benzid and Noureddine Bouguechal}
}
@article {3148,
	title = {Robust Feedback Linearization Control Framework Using an Optimized Extended Kalman Filter},
	journal = {Journal of Engineering Science and Technology Review},
	volume = {10},
	number = {5},
	year = {2017},
	pages = {1-16},
	abstract = {
	A robust nonlinear controller based on an improved feedback linearization technique with state observer is developed for a class of nonlinear systems with uncertainties and external disturbances. First, by combining classical feedback linearization approach with a discontinuous control and a fuzzy logic system, we design and study a robust controller for uncertain nonlinear systems. Second, we propose an optimized extended Kalman filter (EKF) for the observation of the states. The parameters to be optimized are the covariance matrices Q and R, which play an important role in the EKF performances. The particle swarm optimization algorithm insures this optimization. Lyapunov synthesis approach is used to prove the stability of the whole control loop. The proposed approach is applied on a two-link robot system under Matlab environment. Simulation results have confirmed the effectiveness of the proposed approach against uncertainties and external disturbances; and exhibited a more superior performance than the non-improved control actions.

},
	author = {Ali MEDJGHOU and Mouna GHANAI and Kheireddine CHAFAAA}
}
@article {3147,
	title = {An Automated Microemboli Detection and Classification System using Backscatter RF Signals and Differential Evolution},
	journal = {Australasian Physical \& Engineering Sciences in Medicine},
	volume = {40},
	number = {1},
	year = {2017},
	pages = {85-99},
	author = {Karim Ferroudji and Nabil Benoudjit and Ayache Bouakaz}
}
@article {3140,
	title = {Particle Swarm Optimization of Non Uniform Rational B-Splines for Robot Manipulators Path Planning},
	journal = {Periodica Polytechnica Electrical Engineering and Computer Science },
	volume = {61},
	number = {4},
	year = {2017},
	pages = {337-349},
	abstract = {
	The path-planning problem is commonly formulated to handle the obstacle avoidance constraints. This problem becomes more complicated when further restrictions are added. It often requires efficient algorithms to be solved. In this paper, a new approach is proposed where the path is described by means of Non Uniform Rational B-Splines (NURBS for short) with more additional constraints. An evolutionary technique called Particle Swarm Optimization (PSO) with three options of particles velocity updating offering three alternatives namely the PSO with inertia weight (PSO-W), the constriction factor PSO (PSO-C) and the combination of the two(PSO-WC); are used to optimize the weights of the control points that serve as parameters of the algorithm describing the path. Simulation results show how the mixture of the first two options produces a powerful algorithm, specifically (PSO-WC), in producing a compromise between fast convergence and large number of potential solution. In addition, the whole approach seems to be flexible, powerful and useful for the generation of successful smooth trajectories for robot manipulator which are independent from environment conditions.

},
	author = {Nadjib Zerrouki and Noureddine Gol{\'e}a and Nabil Benoudjit}
}
@article {3116,
	title = {Contribution to the performance of mobile radio systems by optimizing the Okumura Hata model by linear regression: Application to the city of Annaba in Algeria},
	journal = { International Journal on Electrical Engineering and Informatics},
	volume = {9},
	number = {4},
	year = {2017},
	pages = {677-689},
	abstract = {
	The study of propagation characteristics is a fundamental step in mobile radio engineering; which is intended to achieve maximum performance for a mobile radio system. To do this, the propagation models are essential tools for this study such as the evaluation of the signal strength received by a mobile terminal, the evaluation of coverage radii and deduce the number of cells needed to cover a given area, such as radio planning, which in turn is the step that aims to estimate the necessary equipment and configurations of the radio interface. In this work we adopt the standard K factor model and OKUMURA HATA model to demonstrate a propagation model adapted to the physical environment of the city of Annaba in Algeria using a linear regression algorithm based on the ordinary least squares method. Radio measurements were carried out on the CDMA network of operator Mobilis. The calculation of the square root of the mean square error between the actual data and the radio measurements and the prediction data derived from the model implemented allowing the validation of the results obtained. A comparative study between the value of the RMSE obtained by the new model and those obtained by the models K standard factors and the model of OKUMURA HATA allows us to conclude that the new model is better adapted to our local environment than that of OKUMURA HATA. The new model obtained can help increase the performance of mobile radio systems deployed in our territory. {\textcopyright} 2017, School of Electrical Engineering and Informatics. All rights reserved.

},
	author = {Riad Saidi and Lamir Saidi and Zine-el-abidine Regai}
}
@article {3113,
	title = {F. SRAIRI, L. SAIDI, A. HASSAMModeling Control and Optimization of a New Swimming Microrobot Using Flatness-Fuzzy-Based Approach for Medical Applications},
	journal = {Arabian Journal for Science and Engineering},
	volume = {9},
	number = {99},
	year = {2017},
	pages = {3249{\textendash}3258},
	abstract = {
	Recently, researches in the interventional microrobots have taken the lion{\textquoteright}s share in the field of biomedical devices. The aim of biomedical microrobots is to reach inaccessible areas of the human body and deliver drugs in high position. This work presents a new approach to elaborate a new physics-based model for novel self-propelled swimming microrobots. The robot is composed of an ellipsoidal head and hybrid tail that are propelled by a joint polymer metal composite actuator. Green{\textquoteright}s function is used to solve the coupled elastic/fluid problems caused by the vibrating hybrid tail in a fluid. This method allowed producing the velocity of microrobot. For the control of the swimming microrobot in hazardous environment, the flatness-fuzzy-based control strategy is developed to eliminate the effect of nonlinear model and to generate the optimal trajectory of flat outputs. The fuzzy technique is aimed to adjust the law control gains in real time for improving the precision of the proposed microrobot in tracking the desired trajectory in fluid. The multi-objectives genetic algorithm is employed to optimize both the reference trajectory and the design parameters in order to enhance the time response and to minimize the dynamic tracking error of the trajectory. To achieve this, a numerical model based on accurate solutions of Navier{\textendash}Stokes equations is developed. The results of the simulation show that the proposed design with ellipsoidal head gives better performance in comparison with that achieved by the conventional structure.

},
	author = {Fawzi Srairi and Lamir Saidi and Abdelouahab Hassam}
}
@article {6429,
	title = {Modeling, Control and Optimization of a New Swimming Microrobot Design.},
	journal = {Engineering Letters},
	volume = {24},
	number = {1},
	year = {2016},
	isbn = {1816-093X},
	author = {Srairi, F and L Saidi and Djeffal, F and Meguellati, M}
}
@proceedings {6446,
	title = {A wavelet optimization approach for microemboli classification using RF signals},
	journal = {2016 IEEE International Ultrasonics Symposium (IUS)},
	year = {2016},
	pages = {1-4},
	publisher = {IEEE},
	isbn = {1467398977},
	author = {Fouzi Douak and Abdelghani Tafsast and Damien Fouan and Karim Ferroudji and Ayache Bouakaz and Nabil Benoudjit}
}
@proceedings {3273,
	title = {Artificial Neural Network Applied on Channel Equalization},
	journal = {1st National Seminar on Numeric Simulation in Applied Sciences (SNSA I-2016), December 15},
	year = {2016},
	address = {Guelma - Algeria},
	author = {Fateh Bouguerra and Lamir Saidi}
}
@proceedings {3272,
	title = {RBF Applied on Interference Cancellation on Distorted Channel},
	journal = {1st National Seminar of mathematics (SNM{\textquoteright}01),December 13},
	year = {2016},
	address = {Constantine - Algeria},
	author = {Fateh Bouguerra and Lamir Saidi}
}
@proceedings {3271,
	title = {Particle swarm optimization of a PD controller for robotic manipulators},
	journal = {The 9th International conference on Electrical Engineering and First Workshop on Robotics and Controls, , 02-04~ Oct},
	year = {2016},
	address = {Batna, Algeria},
	author = {N BOUNOUARA and Kheireddine CHAFAA}
}
@conference {3270,
	title = {A wavelet optimization approach for microemboli classification using RF signals},
	booktitle = {IEEE International Ultrasonics Symposium (IUS).  September 18-21},
	year = {2016},
	pages = {1-4},
	publisher = { IEEE},
	organization = { IEEE},
	address = {Tours, France},
	abstract = {
	Wavelets are known particularly to be an effective tool for extracting discriminative features in the scattered RF signals of both solid and gaseous emboli. However, the selection of an appropriate mother wavelet for the signal being analyzed is an important criterion. This offers the possibility to perform an optimization procedure to obtain the best wavelet. The purpose of the study is to propose a new approach to classify microembolic echoes using a discrete wavelet transform (DWT) based on genetic algorithm optimization and support vector machine (SVM) classifier. The experimental setup consists of a flow phantom (ATSLaB) containing a tube of 6 mm in diameter. In order to mimic the ultrasonic behavior of gaseous emboli, contrast agents consisting of microbubbles are used in our experimental setup. However, to mimic the behavior of the solid emboli we have used the Doppler fluid which contains particles with scatter characteristics comparable to red blood cells. The acquisitions are carried out at 2 MHz and 3.5 MHz transmit frequency. Ultrasound waves are transmitted at different intensities corresponding to mechanical indices (MI) of 0.21 and 0.42 for the transmit frequency of 2 MHz, and 0.31 and 0.62 for the transmit frequency of 3.5 MHz. Two concentrations of the contrast agent (100 μl and 200 μl) are diluted into a 100 ml volume of water. The polyphase representation of the discrete wavelet transform (DWT) is exploited in this study. Such representation allows generating a wavelet filter bank from a set of angular parameters, in order to minimize the fitness function based on genetic algorithm optimization and the SVM classifier. The best accuracy classifications of microemboli obtained in this study are equal to 99.90\% for 2MHz and to 99.60\% for 3.5MHz. These results illustrate that wavelet optimization approach works well for microemboli classification using RF signals.

},
	author = {Fouzi Douak and Abdelghani Tafsast and Damien Fouan and Karim Ferroudji and Ayache Bouakaz and Nabil Benoudjit}
}
@conference {3269,
	title = {A Sample Human Activity Recognition Technique Using DCT},
	booktitle = {International Conference on Advanced Concepts for Intelligent Vision Systems. ACIVS 2016},
	year = {2016},
	publisher = {Springer},
	organization = {Springer},
	abstract = {
	In this paper, we present a simple new human activity recognition method using discrete cosine transform (DCT). The scheme uses the DCT coefficients extracted from silhouettes as descriptors (features) and performs frame-by-frame recognition, which make it simple and suitable for real time applications. We carried out several tests using radial basis neural network (RBF) for classification, a comparative study against stat-of-the-art methods shows that our technique is faster, simple and gives higher accuracy performance comparing to discrete transform based techniques and other methods proposed in literature.

},
	author = {Aziz Khelalef and Fakhreddine Ababsa and Nabil Benoudjit}
}
@proceedings {3170,
	title = {ANN Symbol Decision Making in Multipath Distorted Channel with QPSK Modulation},
	journal = {2nd International Conference on Pattern Analysis and Intelligent Systems (PAIS{\textquoteright}16),November 16-17},
	year = {2016},
	address = {Khenchela - Algeria},
	author = {Fateh Bouguerra and Lamir Saidi}
}
@proceedings {3169,
	title = {High Order Modulation BP-ANN Symbol Decision Making Over OFDM AWGN Channel},
	journal = {3rd International Conference on Embedded Systems in Telecommunications and Instrumentation (ICESTI{\textquoteright}16), October 24-26},
	year = {2016},
	address = {Annaba - Algeria},
	author = {Fateh Bouguerra and Lamir Saidi}
}
@proceedings {3167,
	title = {RBF Applied on Interference Cancellation on Distorted Channel},
	journal = {First National Seminar of MathematicsSeminars of laboratory MAM, Mentouri University Of Constantine ,- Tuesday 13 December },
	year = {2016},
	address = {Constantine, Algeria},
	author = {Fateh Bouguerra}
}
@proceedings {3166,
	title = {Numerical Modeling and Heuristic Algorithms for Nanogenerator Behavior Analysis},
	journal = {The Fourth International Conference on Advances in Information Processing and Communication Technology - IPCT2016},
	year = {2016},
	pages = {86 {\textendash} 90},
	address = {Rome, Italy},
	author = {A Dib and Abdelouahab Hassam and Kamel Srairi and Lamir Saidi}
}
@article {3160,
	title = {Age Invariant Face Recognition Based on DCT Feature Extraction and Kernel Fisher Analysis},
	journal = {Journal of Information Processing Systems},
	volume = {12},
	number = {3},
	year = {2016},
	pages = {392-409},
	abstract = {
	The aim of this paper is to examine the effectiveness of combining three popular tools used in pattern recognition, which are the Active Appearance Model (AAM), the two-dimensional discrete cosine transform (2D-DCT), and Kernel Fisher Analysis (KFA), for face recognition across age variations. For this purpose, we first used AAM to generate an AAM-based face representation; then, we applied 2D-DCT to get the descriptor of the image; and finally, we used a multiclass KFA for dimension reduction. Classification was made through a K-nearest neighbor classifier, based on Euclidean distance. Our experimental results on face images, which were obtained from the publicly available FG-NET face database, showed that the proposed descriptor worked satisfactorily for both face identification and verification across age progression.

},
	author = {Leila Boussaad and Mohamed Benmohammed and Redha Benzid}
}
@article {3145,
	title = {Unsupervised cluster-based method for segmenting biological tumor volume of laryngeal tumors in 18F-FDG-PET images},
	journal = {IET Image Processing},
	volume = {11},
	number = {6},
	year = {2016},
	pages = {389-396},
	abstract = {
	In radiotherapy using 18-fluorodeoxyglucose positron emission tomography (18F-FDG-PET), the accurate delineation of the biological tumour volume (BTV) is a crucial step. In this study, the authors suggest a new approach to segment the BTV in\&nbsp;18F-FDG-PET images. The technique is based on the k-means clustering algorithm incorporating automatic optimal cluster number estimation, using intrinsic positron emission tomography image information. Clinical dataset of seven patients have a laryngeal tumour with the actual BTV defined by histology serves as a reference, were included in this study for the evaluation of results. Promising results obtained by the proposed approach with a mean error equal to (0.7\%) compared with other existing methods in clinical routine, including fuzzy c-means with (35.58\%), gradient-based method with (19.14\%) and threshold-based methods.

},
	author = {Abdelghani Tafsat and Mohamed Laid Hadjili and Ayache Bouakaz and Nabil Benoudjit}
}
@article {3115,
	title = {Numerical Modeling and Heuristic Algorithms for Nanogenerator Behavior Analysis},
	journal = {International Journal of Advancements in Electronics and Electrical Engineering},
	volume = {5},
	number = {2},
	year = {2016},
	abstract = {
	Recently, the desire for a self-powered micro and nanodevices has attracted a great interest of using sustainable energy sources. Further, the ultimate goal of nanogenerator is to harvest energy from the ambient environment in which a self powered device based on these generators is needed. With the development of nanogenerator-based circuits design and optimization, the building of new device simulator is necessary for the study and the synthesis of electromecanical parameters of this type of models. In the present article, both numerical modeling and optimization of piezoelectric nanogenerator based on zinc oxide have been carried out. They aim to improve the electromecanical performances, robustness, and synthesis process for nanogenerator. The proposed model has been developed for a systematic study of the nanowire morphology parameters in stretching mode. In addition, heuristic optimization technique, namely, particle swarm optimization has been implemented for an analytic modeling and an optimization of nanogenerator-based process in stretching mode. Moreover, the obtained results have been tested and compared with conventional model where a good agreement has been obtained for excitation mode. The developed nanogenerator model can be generalized, extended and integrated into simulators devices to study nanogenerator-based circuits.

},
	author = {A Dib and Abdelouahab Hassam and Kamel Srairi and Lamir Saidi}
}
@article {3114,
	title = {Control of a New Swimming Microrobot Design Using Flatness-ANFIS-Based Approach},
	journal = {Engineering Letters (IAENG)},
	volume = {24},
	year = {2016},
	pages = {106-112},
	abstract = {
	This article deals with the study of a new swimming microrobot behavior using an analytical investigation. The analyzed microrobot is associated by a spherical head and hybrid tail. The principle of modeling is based on solving of the coupled elastic/fluidic problems between the hybrid tail{\textquoteright}s deflections and the running environment. In spite of the resulting nonlinear model can be exploited to enhance both the sailing ability and also can be controlled in viscous environment using nonlinear control investigations. The applications of the micro-robot have required the precision of control for targeting the running area in terms of response time and tracking error. Due to these limitations, the Flatness-ANFIS based control is used to ensure a good control behavior in hazardous environment. Our control investigation is coupled the differential flatness and adaptive neuro-fuzzy inference techniques, in which the flatness is used to planning the optimal trajectory and eliminate the nonlinearity effects of the resulting model. In other hand, the neuro-fuzzy inference technique is used to build the law of control technique and minimize the dynamic error of tracking trajectory. In particular, we deduct from a non linear model to an optimal model of the design parameter{\textquoteright}s using Multi-Objective genetic algorithms (MOGAs). In addition, Computational fluid dynamics modeling of the microrobot is also carried out to study the produced thrust and velocity of the microrobot displacement taking into account the fluid parameters. Our analytical results have been validated by the recorded good agreement between the numerical and analytical results.

},
	author = {Fawzi Srairi and Lamir Saidi and Faycal Djeffal and Mohamed Meguellati}
}
