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multi-Resolution Fourier Analysis Part II: missing Signal Recovery and Observation Results

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International Journal of Communications, Network and System Sciences 2012年第1期5卷 28-36页

作者： nourédine Yahya Bey 不详

In this paper, we report application procedures and observed results of multi-resolution Fourier analysis proposed in the first part of this series. missing signal recovery derived from multi-resolution theory is developed. It is shown that multi-resolution Fourier analysis enhances dramatically performances of Fourier spectra suffering limitations traced to implicit time windowing. Observed frequency resolutions, improvement of frequency estimations, contraction of spectral leakage and recovery of missing parts of finite duration signals are in accordance with theoretical predictions.

关键词： Fourier multi-Resolution Spectral Analysis Frequency Estimation Frequency Resolution Spectral Leakage missing Parts Signal Recovery

Water Wave Optimization with Deep Learning Driven Smart Grid Stability Prediction

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Computers, materials & Continua 2022年第12期73卷 6019-6035页

作者： Anwer mustafa Hilal Aisha Hassan Abdalla Hashim Heba G.mohamed mohammad Alamgeer mohamed K.nour Anas Abdelrahman Abdelwahed motwakel Department of Electrical and Computer Engineering International Islamic University MalaysiaKuala Lumpur53100Malaysia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam Bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Electrical Engineering College of EngineeringPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Computer Science and Bioinformatics Singhania UniversityPacheri BariJhnujhunuRajasthanIndia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of mechanical Engineering Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11835Egypt

Smart Grid(SG)technologies enable the acquisition of huge volumes of high dimension and multi-class data related to electric power grid operations through the integration of advanced metering infrastructures,control systems,and communication *** SGs,user demand data is gathered and examined over the present supply criteria whereas the expenses are then informed to the clients so that they can decide about electricity *** the entire procedure is valued on the basis of time,it is essential to perform adaptive estimation of the SG’s *** advancements inmachine Learning(mL)andDeep Learning(DL)models enable the designing of effective stability prediction models in *** this background,the current study introduces a novel Water Wave Optimization with Optimal Deep Learning Driven Smart Grid Stability Prediction(WWOODL-SGSP)*** aim of the presented WWOODL-SGSP model is to predict the stability level of SGs in a proficient *** attain this,the proposed WWOODL-SGSP model initially applies normalization process to scale the data to a uniform ***,WWO algorithm is applied to choose an optimal subset of features from the pre-processed ***,Deep Belief Network(DBN)model is followed to predict the stability level of ***,Slime mold Algorithm(SmA)is exploited to fine tune the hyperparameters involved in DBN *** order to validate the enhanced performance of the proposedWWOODL-SGSP model,a wide range of experimental analyses was *** simulation results confirmthe enhanced predictive results of WWOODL-SGSP model over other recent approaches.

关键词： Smart grid stability prediction deep learning energy systems machine learning metaheursitics

Book Review of Green materials for Sustainable Water Remediation and Treatment

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Green and Sustainable Chemistry 2014年第3期4卷 175-176页

作者： nour-Eddine Es-Safi mohammed V Agdal University Rabat Morocco

Water is one of the most important substances on earth. Safe drinking water is essential to humans and other life forms. All plants and animals must have water to survive. If there was no water, there would be no life on earth. Apart from drinking it to survive, people have many other uses for water. This natural resource is becoming scarcer and its demand exceeds supply in some region rendering its availability a major social and economic concern. Apart of this scarcity is water pollution which is increasing day by day in many parts of the world. Sources of fresh water on land are getting more and more polluted than ever before. As a result, contaminated water became unsuitable for use. Poor water quality is deadly since contaminated water causes hazards to public health through poisoning or the spread of disease. In order to address these issues, the practice of water remediation has been developed.

关键词： Water Water Remediation Pollution

The role of e-readiness assessment criteria in accepting e-commerce for small and medium size enterprisesmDevelopment of technology acceptance model

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Chinese Business Review 2010年第2期9卷 21-26页

作者： nour-mohammad Yaghoubi Roya Shakeri Department of management School of Management and Accounting University of Sistan and Baluchestan Zahedan *** Iran

This paper develops Davis technology acceptance model by adding two criteria of e-readiness assessment. For small and medium size enterprises, the paper evaluates the credit of developed model in studying the efficient factors in internet technology acceptance, which is one of the most applicable communication tools in e-commerce. The added factors, taken from models and means of e-readiness assessment, are ＂existing information technology infrastructures＂ as well as ＂organization＇s training＂. The authors study 45 small and medium size enterprises in the city of Tehran, which are active in information technology products and services. Using Lisrel structural equation modelling, it is shown that there is a meaningful relationship between the added factors and the variables indicating internet network usage. Therefore, the better factors of e-readiness assessment lead to the higher acceptance level of electronic communication tools in e-commerce.

关键词： information technology e-readiness e-commerce technology acceptance small and medium size enterprises

Trans-silencing effect of the 3′RR immunoglobulin heavy chain enhancer on Igκtranscription at the pro-B cell stage

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Cellular & molecular Immunology 2019年第7期16卷 668-670页

作者： nour Ghazzaui Hussein Issaoui Ophélie Alyssa martin Alexis Saintamand Jeanne Cook-moreau Yves Denizot François Boyer CNRS UmR 7276 Inserm U1262Universitéde LimogesLimogesFrance Present address:Inserm U1236 UniversitéRennes 1RennesFrance

Due to their impact on nuclear organization,enhancers are master regulators of cell fate.1,2 The immunoglobulin heavy chain(IgH)locus undergoes numerous changes(such as transcription,accessibility,DNA breaks,and mutations)throughout B-cell *** of these events are controlled by the IgH 3′regulatory region(3′RR).The 3′RR is the master control element of mature B-cell IgH transcription,3 somatic hypermutation(SHm),4,5 conventional class switch recombination(CSR),4,6–10 and locus suicide recombination(LSR).11 In contrast,the 3′RR is expected to be dispensable for V(D)J recombination.12,13 During Bcell development,the heavy and light chain loci are poised for their VDJ and VJ rearrangements,*** IgH locus rearranges first,with D-J joining at the pro-B-cell stages,followed by V-DJ joining at the pre-B-cell *** Igk locus is poised for VJ rearrangements at the pre-B cell stage.

关键词： effect joining recombination

Affecting Factors on Entrepreneurial Oriemation in the Industry

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Chinese Business Review 2011年第10期10卷 889-894页

作者： nour-mohammad Yaghoubi maryam Naroei University of Sistan and Baluchestan Zahedan lran

In the present age, entrepreneurship at the organizational level and entrepreneurial orientation at the individual level can be considered as competitive advantage in a new age. This study examines the affecting factors on entrepreneurial orientation in a sample of 248 employees in the industry. This article considered employees＇ entrepreneurial orientation as an dependent variable and emotional and organizational intelligences, as independent variables, which may be effected on entrepreneurial orientation. The results of data analysis by LISREL show that employees＇ willingness to act entrepreneurially increases when they have high emotional and organizational intelligences.

关键词： entrepreneurial orientation emotional intelligence organizational intelligence

Automated Autism Spectral Disorder Classification Using Optimal machine Learning model

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Computers, materials & Continua 2023年第3期74卷 5251-5265页

作者： Hanan Abdullah mengash Hamed Alqahtani mohammed maray mohamed K.nour Radwa marzouk mohammed Abdullah Al-Hagery Heba mohsen mesfer Al Duhayyim Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems College of Computer ScienceCenter of Artificial Intelligence and Unit of CybersecurityKing Khalid UniversityAbhaSaudi Arabia Department of Information Systems College of Computer ScienceKing Khalid UniversityAbhaSaudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer Science College of ComputerQassim UniversitySaudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia

Autism Spectrum Disorder (ASD) refers to a neuro-disorder wherean individual has long-lasting effects on communication and interaction *** information technologywhich employs artificial intelligence(AI) model has assisted in early identify ASD by using pattern *** advances of AI models assist in the automated identification andclassification of ASD, which helps to reduce the severity of the *** study introduces an automated ASD classification using owl searchalgorithm with machine learning (ASDC-OSAmL) model. The proposedASDC-OSAmL model majorly focuses on the identification and classificationof ASD. To attain this, the presentedASDC-OSAmL model follows minmaxnormalization approach as a pre-processing stage. Next, the owl searchalgorithm (OSA)-based feature selection (OSA-FS) model is used to derivefeature subsets. Then, beetle swarm antenna search (BSAS) algorithm withIterative Dichotomiser 3 (ID3) classification method was implied for ASDdetection and classification. The design of BSAS algorithm helps to determinethe parameter values of the ID3 classifier. The performance analysis of theASDC-OSAmL model is performed using benchmark dataset. An extensivecomparison study highlighted the supremacy of the ASDC-OSAmL modelover recent state of art approaches.

关键词： Autism spectral disorder machine learning owl search algorithm feature selection id3 classifier

Hand Gesture Recognition Approach for ASL Language Using Hand Extraction Algorithm

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Journal of Software Engineering and Applications 2015年第8期8卷 419-430页

作者： Alhussain Akoum nour Al mawla Department GRIT Lebanese University Beirut Lebanon

In a general overview, signed language is a technique used for communicational purposes by deaf people. It is a three-dimensional language that relies on visual gestures and moving hand signs that classify letters and words. Gesture recognition has been always a relatively fearful subject that is adherent to the individual on both academic and demonstrative levels. The core objective of this system is to produce a method which can identify detailed humanoid nods and use them to either deliver ones thoughts and feelings, or for device control. This system will stand as an effective replacement for speech, enhancing the individual’s ability to express and intermingle in society. In this paper, we will discuss the different steps used to input, recognize and analyze the hand gestures, transforming them to both written words and audible speech. Each step is an independent algorithm that has its unique variables and conditions.

关键词： Hand Gesture American Sign Language Gesture Analysis Edge Detection Correlation Background modeling

Optimal Fuzzy Logic Enabled Intrusion Detection for Secure IoT-Cloud Environment

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Computers, materials & Continua 2023年第3期74卷 6737-6753页

作者： Fatma S.Alrayes Nuha Alshuqayran mohamed K nour mesfer Al Duhayyim Abdullah mohamed Amgad Atta Abdelmageed mohammed Gouse Pasha mohammed Ishfaq Yaseen Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems College of Computer and Information SciencesImam Mohammad Ibn Saud Islamic UniversitySaudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Research Centre Future University in EgyptNew Cairo11845Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Recently,Internet of Things(IoT)devices have developed at a faster rate and utilization of devices gets considerably increased in day to day *** the benefits of IoT devices,security issues remain challenging owing to the fact that most devices do not include memory and computing resources essential for satisfactory security ***,IoT devices are vulnerable to different kinds of attacks.A single attack on networking system/device could result in considerable data to data security and *** the emergence of artificial intelligence(AI)techniques can be exploited for attack detection and classification in the IoT *** this view,this paper presents novel metaheuristics feature selection with fuzzy logic enabled intrusion detection system(mFSFL-IDS)in the IoT *** presented mFSFL-IDS approach purposes for recognizing the existence of intrusions and accomplish security in the IoT *** achieve this,the mFSFL-IDS model employs data pre-processing to transform the data into useful ***,henry gas solubility optimization(HGSO)algorithm is applied as a feature selection approach to derive useful feature ***,adaptive neuro fuzzy inference system(ANFIS)technique was utilized for the recognition and classification of intrusions in the ***,binary bat algorithm(BBA)is exploited for adjusting parameters involved in the ANFIS model.A comprehensive experimental validation of the mFSFL-IDS model is carried out using benchmark dataset and the outcomes are assessed under distinct *** experimentation outcomes highlighted the superior performance of the mFSFL-IDS model over recentapproaches with maximum accuracy of 99.80%.

关键词： Cloud computing security fuzzy logic intrusion detection internet of things metaheuristics