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Journal of Environmental Sciences 2012年第4期24卷 750-756页

作者： Fatemeh Ghanbary nasser Modirshahla Morteza Khosravi Mohammad Ali Behnajady Department of Applied Chemistry Faculty of ChemistryNorth Tehran BranchIslamic Azad UniversityTehran***Islamic Republic of Iran Research Laboratory Department of Applied ChemistryTabriz BranchIslamic Azad UniversityTabriz1655Islamic Republic of Iran

Titanium dioxide （TiO2） nanoparticles were prepared by sol gel route. The preparation parameters were optimized in the removal of 4-nitropbenol （4-NP）. All catalysts were analyzed by X-ray diffraction （XRD） and scanning electron microscopy （SEM）. An artificial neural network model （ANN） was developed to predict the photocatalytic removal of 4-NP in the presence of TiOz nanoparticles prepared under desired conditions. The comparison between the predicted results by designed ANN model and the experimental data proved that modeling of the removal process of 4-NP using artificial neural network was a precise method to predict the extent of 4-NP removal under different conditions.

关键词： nanoparticle TiO2 4-nitrophenol photocatalysis neural network modeling

ELASTIC MEMBRANE EQUATION WITH MEMORY TERM AND NONLINEAR BOUNDARY DAMPING:GLOBAL EXISTENCE,DECAY AND BLOWUP OF THE SOLUTION

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Acta Mathematica Scientia 2013年第1期33卷 84-106页

作者： Abderrahmane ZARA nasser-eddine TATAR Salem ABDELMALEK Depatment of Mathematics and Informatic Cheikh El Arbi Tébessi University12002 TébessaAlgeria Depatment of Mathematics and Statistics King Fahd University of Petroleum and MineralsDhahran 31261Saudi Arabia Depatment of Mathematics College of SciencesYanbuTaibah UniversitySaudi Arabia

In this paper we consider the Elastic membrane equation：with memory term and nonlinear boundary damping： Under some appropriate assumptions on the relaxation function h and with certain initial data, the global existence of solutions ：and a general decay for the energy are established using the multiplier technique. Also, ＇we show that a nonlinear source of polynomial type is able to force solutions to blow up in finite time even in presence of a nonlinear damping.

关键词： elastic membrane equation global existence boundary damping boundarysource general decay blowup

Digital signal processing system design 2nd edition 2nd ed.

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Reduction of Infectious Cryptosporidium and Microbial Indicators in Wastewater Effluents by Disinfection with UV Irradiation or Chlorine

2008年

作者： nasser Kehatarnavaz

Includes bibliographical references and index.

ISBN: (纸本)9780123744906

Includes bibliographical references and index.

关键词： Hybrid computers

来源：畅想之星图书光盘版（南... 评论

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Journal of Water Resource and Protection 2022年第6期14卷 407-418页

作者： Samah Badarne-Abbasi Robert Armon Abidelfatah nasser Faculty of Civil & Environmental Engineering Technion-Israel Institute of Technology Haifa Israel Water Quality Research Laboratory National Public Health Laboratory Ministry of Health Tel Aviv Israel

When properly treated, domestic wastewater should be considered a potential reliable water source in arid and semi-arid regions of the world for none-potable purposes. In Israel and other countries around the world, the main biological standards for water reuse are based on fecal coliform (FC) and turbidity. Furthermore, in secondary treatment, the Israeli standard for water reuse and for unrestricted irrigation comprises additional steps such as filtration and chlorination. The present study was conducted to compare the reduction efficiency of live Cryptosporidium oocysts in wastewater effluents by filtration and disinfection by either UV irradiation or chlorination. Cryptosporidium oocysts infectivity reduction was compared to those of the conventional microbial indicators (FC). The study was conducted in two full-scale wastewater treatment plants. The average concentration of FC and Cryptosporidium in secondary effluent was 2.8 × 105 cfu/100ml and 5.7 oocysts/10L, respectively. Infectious Cryptosporidium oocysts were detected in 2 out of 7 secondary effluent samples (28.5%). Infectious Cryptosporidium oocysts were not detectable in UV disinfected tertiary effluent. Conversely, 3 out of 7 (42.8%) tertiary effluent samples disinfected with chlorine were positive for infectious Cryptosporidium oocysts. The results of this study revealed that the application of a multi barrier treatment, including UV irradiation, for the reduction of Cryptosporidium oocysts and microbial indicators could improve tertiary effluent safety for unrestricted irrigation and other reuse purposes.

关键词： Cryptosporidium Infectivity Wastewater Effluents Disinfection Indicators

Developing a Super-lift Luo-converter with Integration of Buck Converters for Electric Vehicle Applications

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CSEE Journal of Power and Energy Systems 2021年第4期7卷 811-820页

作者： Behdad Faridpak Meisam Farrokhifar Mojtaba Nasiri Arman Alahyari nasser Sadoogi Faculty of Electrical and Computer Engineering University of TabrizTabriz ***Iran Center for Energy Science and Technology Skolkovo Institute of Science and TechnologyMoscow 121205Russia Solar Energy Applications Group School of EngineeringTrinity College DublinD02 PN40 DublinIreland Research and Development Department of Jam Hoor Tabriz Company Tabriz ***Iran

In this paper,a DC-DC multi-port converter is introduced by integrating a super-lift and a buck converter(SLBC).The proposed single-input dual-output(SIDO)converter has conventional positive output voltage super-lift advantages while simultaneously generating a step・up voltage by Luo・converter and a step-down voltage by the buck *** this structure,without utilizing electromagnetic components to generate a dual output,the ripple in output voltages is kept ***,the introduced SLBC has a simple structure and an appropriate control method providing a wide range of output ***,to illustrate the advantages of the proposed SIDO converter,a comparison with other similar configurations is carried ***,simulation and experiment results indicate a considerable reduction in conduction losses compared to other SIDO converters in the same *** operation accuracy of SLBC is validated by performing several simulations in PSCAD/EMTDC software and testing a 150W prototype in the laboratory.

关键词： DC-DC converter Luo-converter single-input dual-output(SIDO) super-lift(SL) high voltage gain

Computational Linguistics with Optimal Deep Belief Network Based Irony Detection in Social Media

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Computers, Materials & Continua 2023年第5期75卷 4137-4154页

作者： Manar Ahmed Hamza Hala J.Alshahrani Abdulkhaleq Q.A.Hassan Abdulbaset Gaddah nasser Allheeib Suleiman Ali Alsaif Badriyya B.Al-onazi Heba Mohsen Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Applied Linguistics College of LanguagesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of English College of Science and Arts at MahayilKing Khalid UniversityAbha62217Saudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversityMakkah24211Saudi Arabia Department of Information Systems College of Computer and Information SciencesKing Saud UniversityRiyadhSaudi Arabia Department of Computer Deanship of Preparatory Year and Supporting StudiesImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Language Preparation Arabic Language Teaching InstitutePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt

Computational linguistics refers to an interdisciplinary field associated with the computational modelling of natural language and studying appropriate computational methods for linguistic *** number of social media users has been increasing over the last few years,which have allured researchers’interest in scrutinizing the new kind of creative language utilized on the Internet to explore communication and human opinions in a *** and sarcasm detection is a complex task inNatural Language Processing(NLP).Irony detection has inferences in advertising,sentiment analysis(SA),and opinion *** the last few years,irony-aware SA has gained significant computational treatment owing to the prevalence of irony in web ***,this study develops Computational Linguistics with Optimal Deep Belief Network based Irony Detection and Classification(CLODBN-IRC)model on social *** presented CLODBN-IRC model mainly focuses on the identification and classification of irony that exists in social *** attain this,the presented CLODBN-IRC model performs different stages of pre-processing and TF-IDF feature *** irony detection and classification,the DBN model is exploited in this *** last,the hyperparameters of the DBN model are optimally modified by improved artificial bee colony optimization(IABC)*** experimental validation of the presentedCLODBN-IRCmethod can be tested by making use of benchmark *** simulation outcomes highlight the superior outcomes of the presented CLODBN-IRC model over other approaches.

关键词： Computational linguistics natural language processing deep learning irony detection social media

Calculation of Hildebrand Solubility Parameters of Some Polymers Using QSPR Methods Based on LS-SVM Technique and Theoretical Molecular Descriptors

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Chinese Journal of Polymer Science 2014年第5期32卷 587-594页

作者： nasser Goudarzi M.Arab Chamjangali A.H.Amin Faculty of Chemistry Shahrood University of Technology

In this work, some chemometrics methods are applied for the modeling and prediction of the Hildebrand solubility parameter of some polymers. A genetic algorithm （GA） method is designed for the selection of variables to construct two models using the multiple linear regression （MLR） and least square-support vector machine （LS-SVM） methods in order to predict the Hildebrand solubility parameter. The MLR method is used to build a linear relationship between the molecular descriptors and the Hildebrand solubility parameter for these compounds. Then the LS-SVM method is utilized to construct the non-linear quantitative structure-activity relationship （QSAR） models. The results obtained using the LS-SVM method are then compared with those obtained for the MLR method; it was revealed that the LS-SVM model was much better than the MLR one. The root-mean-square errors of the training set and the test set for the LS-SVM model were 0.2912 and 0.2427, and the correlation coefficients were 0.9662 and 0.9518, respectively. This paper provides a new and effective method for predicting the Hildebrand solubility parameter for some polymers, and also reveals that the LS-SVM method can be used as a powerful chemometrics tool for the quantitative structure-property relationship （QSPR） studies.

关键词： Hildebrand solubility parameter Least square-support vector machine (LS-SVM) Quantitative structure- property relationship (QSPR) Multiple linear regression (MLR) Genetic algorithm (GA).

Remote Sensing Image Encryption Using Optimal Key Generation-Based Chaotic Encryption

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Computer Systems Science & Engineering 2023年第9期46卷 3209-3223页

作者： Mesfer Al Duhayyim Fatma S.Alrayes Saud S.Alotaibi Sana Alazwari nasser Allheeib Ayman Yafoz Raed Alsini Amira Sayed A.Aziz Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif P.O.Box 11099Taif21944Saudi Arabia Department of Information Systems-College of Computer and Information Sciences King Saud UniversityRiyadhSaudi Arabia Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Digital Media Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt

The Internet of Things(IoT)offers a new era of connectivity,which goes beyond laptops and smart connected devices for connected vehicles,smart homes,smart cities,and connected *** massive quantity of data gathered from numerous IoT devices poses security and privacy concerns for *** the increasing use of multimedia in communications,the content security of remote-sensing images attracted much attention in academia and *** encryption is important for securing remote sensing images in the IoT ***,researchers have introduced plenty of algorithms for encrypting *** study introduces an Improved Sine Cosine Algorithm with Chaotic Encryption based Remote Sensing Image Encryption(ISCACE-RSI)technique in IoT *** proposed model follows a three-stage process,namely pre-processing,encryption,and optimal key *** remote sensing images were preprocessed at the initial stage to enhance the image ***,the ISCACERSI technique exploits the double-layer remote sensing image encryption(DLRSIE)algorithm for encrypting the *** DLRSIE methodology incorporates the design of Chaotic Maps and deoxyribonucleic acid(DNA)Strand Displacement(DNASD)*** chaotic map is employed for generating pseudorandom sequences and implementing routine scrambling and diffusion processes on the plaintext ***,the study presents three DNASD-related encryption rules based on the variety of DNASD,and those rules are applied for encrypting the images at the DNA sequence *** an optimal key generation of the DLRSIE technique,the ISCA is applied with an objective function of the maximization of peak signal to noise ratio(PSNR).To examine the performance of the ISCACE-RSI model,a detailed set of simulations were *** comparative study reported the better performance of the ISCACE-RSI model over other existing approaches.

关键词： Remote sensing internet of things image encryption security optimal key generation

Holographic memory-based Bayesian optimization algorithm (HM-BOA) in dynamic environments

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Science China(Information Sciences) 2013年第9期56卷 110-126页

作者： KAEDI Marjan GHASEM-AGHAEE nasser AHN Chang Wook Department of Information technology Engineering University of Isfahan Department of Computer Engineering University of Isfahan Department of Computer Engineering Sungkyunkwan University

This paper presents a new evolutionary dynamic optimization algorithm, holographic memory-based Bayesian optimization algorithm (HM-BOA), whose objective is to address the weaknesses of sequential memory-based dynamic optimization approaches. To this end, holographic associative neural memory is applied to one of the recent successful memory-based evolutionary methods, DBN-MBOA (memory-based BOA with dynamic Bayesian networks). Holographic memory is appropriate for encoding environmental changes since its stimulus and response data are represented by a vector of complex numbers such that the phase and the magnitude denote the information and its confidence level, respectively. In the learning process in HM-BOA, holographic memory is trained by probabilistic models at every environmental change. Its weight matrix contains abstract information obtained from previous changes and is used for constructing a new probabilistic model when the environment changes. The unique features of HM-BOA are: 1) the stored information can be generalized, and 2) a small amount of memory is required for storing the probabilistic models. Experimental results adduce grounds for its effectiveness especially in random environments.

关键词： dynamic optimization Bayesian optimization algorithm holographic memory dynamic Bayesian networks.

Effect of Notch Location on Fatigue Life Prediction of Strength Mismatched HSLA Steel Weldments

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Journal of Materials Science & Technology 2004年第2期20卷 129-135页

作者： S.Ravi V.Balasubramanian S.Nemat nasser Department of Manufacturing Engineering Annamalai University Annamalainagar-608 002. Tamil Nadu IndiaDepartment of Manufacturing Engineering Annamalai University Annamalainagar-608 002. Tamil Nadu IndiaCentre of Excellence for Advanced Materials University of California at San Diego La Jolla CA 92093-0416 USA

Welding of high strength low alloy steels (HSLA) involves usage of low, even and high strength filler materials (electrodes) than the parent material depending on the application of the welded structures and the availability of the filler material. In the present investigation, the fatigue crack growth behaviour of weld metal (WM) and heat affected zone (HAZ) regions of under matched (UM), equal matched (EM) and over matched (OM) joints has been studied. The base material used in this investigation is HSLA-80 steel of weldable grade. Shielded metal arc welding (SMAW) process has been used to fabricate the butt joints. Centre cracked tension (CCT) specimen has been used to evaluate the fatigue crack growth behaviour of the welded joints. Fatigue crack growth experiments have been conducted using servo hydraulic controlled fatigue testing machine at constant amplitude loading (R=0).A method has been proposed to predict the fatigue life of HSLA steel welds using fracture mechanics approach by incorporating influences of mismatch ratio (MMR) and notch location.

关键词： Shielded metal arc welding High strength low alloy steel Mismatch ratio Notch location Fatigue crack growth Fatigue life