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Coping with handover effects in video streaming over cellular networks

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2006年第Z1期7卷 137-144页

作者： BOUAZIZI Imed HANNUKSELA Miska M rauf Usama Nokia Research Center Tampere 33720 Finland

The 3rd generation partnership project (3GPP) has defined the protocols and codecs for implementing media streaming services over packet-switched 3G mobile networks. The specification is based on IETF RFCs on audio/video *** also adds new features to achieve better adaptation to the mobile network environment. In this paper, we propose an algorithm for handover detection and fast buffer refill that is based on the existing feedback and signaling mechanisms. The proposed algorithm refills the receiver buffer at a faster pace during a limited time frame after a hard handover is detected in order to achieve higher video quality.

关键词： Video streaming, 3GPP packet-switched streaming service, Handover detection, Hard handover, Fast buffer refill,Mobile networks

Utilization of Maxwell-Cattaneo law for MHD swirling flow through oscillatory disk subject to porous medium

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Applied Mathematics and Mechanics(English Edition) 2019年第6期40卷 837-850页

作者： A. rauf Z. ABBAS S. A. SHEHZAD Department of Mathematics The Islamia University of BahawalpurBahawalpur 63100Pakistan Department of Mathematics COMSATS University IslamabadSahiwal 57000Pakistan

The present study aims to investigate the salient features of incompressible, hydromagnetic, three-dimensional flow of viscous fluid subject to the oscillatory motion of a disk. The rotating disk is contained in a porous medium. Furthermore, a time-invariant version of the Maxwell-Cattaneo law is implemented in the energy equation. The flow problem is normalized by obtaining similarity variables. The resulting nonlinear system is solved numerically using the successive over-relaxation method. The main results are discussed through graphical representations and tables. It is perceived that the thermal relaxation time parameter decreases the temperature curves and increases the heat trans- fer rate. The oscillatory curves for the velocity field demonstrate a decreasing tendency with the increasing porosity parameter values. Two- and three-dimensional flow phenom- ena are also shown through graphical results.

关键词： time-dependent flow oscillatory disk porous medium magnetohydrody-namic (MHD) Maxwell-Cattaneo law numerical solution

A Semantic Adversarial Network for Detection and Classification of Myopic Maculopathy

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Computers, Materials & Continua 2023年第4期75卷 1483-1499页

作者： Qaisar Abbas Abdul rauf Baig Ayyaz Hussain College of Computer and Information Sciences Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia Department of Computer Science Quaid-i-Azam UniversityIslamabad44000Pakistan

The diagnosis of eye disease through deep learning (DL) technologyis the latest trend in the field of artificial intelligence (AI). Especially indiagnosing pathologic myopia (PM) lesions, the implementation of DL is adifficult task because of the classification complexity and definition system ofPM. However, it is possible to design an AI-based technique that can identifyPM automatically and help doctors make relevant decisions. To achieve thisobjective, it is important to have adequate resources such as a high-qualityPM image dataset and an expert team. The primary aim of this research isto design and train the DLs to automatically identify and classify PM intodifferent classes. In this article, we have developed a new class of DL models(SAN-FSL) for the segmentation and detection of PM through semanticadversarial networks (SAN) and few-short learning (FSL) methods, *** to DL methods, the conventional segmentation methodsuse supervised learning models, so they (a) require a lot of data for trainingand (b) fixed weights are used after the completion of the training *** solve such problems, the FSL technique was employed for model trainingwith few samples. The ability of FSL learning in UNet architectures is beingexplored, and to fine-tune the weights, a few new samples are being providedto the UNet. The outcomes show improvement in the detection area andclassification of PM stages. Betterment in the result is observed by sensitivity(SE) of 95%, specificity (SP) of 96%, and area under the receiver operatingcurve (AUC) of 98%, and the higher F1-score is achieved using 10-fold ***, the obtained results confirmed the superiority of theSAN-FSL method.

关键词： Artificial intelligence cardiovascular vision loss deep learning few-shot learning semantic segmentation myopic maculopathy

Effects of magnetic field on photon-induced quantum transport in a single dot-cavity system

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Chinese Physics B 2016年第11期25卷 270-274页

作者： Nzar rauf Abdullah Aziz H Fatah Jabar M A Fatah Physics Department College of Science University of Sulaimani Science Institute University of Iceland

In this study,we show how a static magnetic field can control photon-induced electron transport through a quantum dot system coupled to a photon *** quantum dot system is connected to two electron reservoirs and exposed to an external perpendicular static magnetic *** propagation of electrons through the system is thus influenced by the static magnetic and the dynamic photon *** is observed that the photon cavity forms photon replica states controlling electron transport in the *** the photon field has more energy than the cyclotron energy,then the photon field is dominant in the electron ***,the electron transport is enhanced due to activation of photon replica *** contrast,the electron transport is suppressed in the system when the photon energy is smaller than the cyclotron energy.

关键词： photon connected reservoirs zigzag suppressed perpendicular exposed spacing Hamiltonian confinement

Transfer Learning-based Computer-aided Diagnosis System for Predicting Grades of Diabetic Retinopathy

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Computers, Materials & Continua 2022年第6期71卷 4573-4590页

作者： Qaisar Abbas Mostafa E.A.Ibrahim Abdul rauf Baig College of Computer and Information Sciences Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia Department of Electrical Engineering Benha Faculty of EngineeringBenha UniversityQalubiaBenha13518Egypt

Diabetic retinopathy(DR)diagnosis through digital fundus images requires clinical experts to recognize the presence and importance of many intricate *** task is very difficult for ophthalmologists and ***,many computer-aided diagnosis(CAD)systems were developed to automate this screening process *** this paper,aCAD-DR system is proposed based on preprocessing and a pre-train transfer learningbased convolutional neural network(PCNN)to recognize the five stages of DR through retinal fundus *** develop this CAD-DR system,a preprocessing step is performed in a perceptual-oriented color space to enhance the DR-related lesions and then a standard pre-train PCNN model is improved to get high classification *** architecture of the PCNN model is based on three main ***,the training process of the proposed PCNN is accomplished by using the expected gradient length(EGL)to decrease the image labeling efforts during the training of the CNN ***,themost informative patches and images were automatically selected using a few pieces of training labeled ***,the PCNN method generated useful masks for prognostication and identified regions of ***,the DR-related lesions involved in the classification task such as micro-aneurysms,hemorrhages,and exudates were detected and then used for recognition of *** PCNN model is pre-trained using a high-end graphical processor unit(GPU)on the publicly available Kaggle *** obtained results demonstrate that the CAD-DR system outperforms compared to other state-of-the-art in terms of sensitivity(SE),specificity(SP),and accuracy(ACC).On the test set of 30,000 images,the CAD-DR system achieved an average SE of 93.20%,SP of 96.10%,and ACC of 98%.This result indicates that the proposed CAD-DR system is appropriate for the screening of the severity-level of DR.

关键词： Diabetic Retinopathy retinal fundus images computer-aided diagnosis system deep learning transfer learning convolutional neural network

Structural and Spectral Studies of Some Geometric Isomers of N-Pivaloyl-Nˊ-dichlorophenyl Thiourea

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Chinese Journal of Structural Chemistry 2013年第3期32卷 349-356页

作者： Muhammad Khawar rauf Masahiro Ebihara Sarwat Sultana Amin Badshah Department of Chemistry Quaid-I-Azam University Department of Chemistry Faculty of EngineeringGifu University Yanagido

N-pivaloyl-Nˊ-（3,4-dichlorophenyl）thiourea （1）： monoclinic, P21/a, a=11.57（1）, b=9.278（8）, c=13.51（1）, β=103.85（1）°, V=1408（2）3 , Z=4, μ=0.598 mm-1 ; N-pivaloyl-N＇-（3,5- dichlorophenyl）thiourea （2）： monoclinic, P21/a, a=7.176（2）, b=16.441（4）, c=11.923（2）, β=92.48（1）°, V=1405.3（6）3 , Z=4, μ=0.600 mm-1 ; N-pivaloyl-Nˊ-（2,6-dichlorophenyl）thiourea （3）： orthorhombic, Pnma, a=26.79（1）, b=8.780（4）, c=5.955（3）, V=1400.7（11）3 , Z=4, μ=0.601 mm-1 . All three complexes have an intramolecular hydrogen bond between NˊH and the carbonyl oxygen. Solution 1H NMR studies （CDCl3） show the NH resonance considerable downfield for each thiourea and their positions, as well as that of NH, is affected by substituents on the phenyl ring.

关键词： pivaloyl thioureas single-crystal XRD-studies hydrogen bonds spectral studies mirror plane

Hypo-Driver: A Multiview Driver Fatigue and Distraction Level Detection System

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Computers, Materials & Continua 2022年第4期71卷 1999-2017页

作者： Qaisar Abbas Mostafa EAIbrahim Shakir Khan Abdul rauf Baig College of Computer and Information Sciences Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia Department of Electrical Engineering Benha Faculty of EngineeringBenha UniversityQalubiaBenha13518Egypt

Traffic accidents are caused by driver fatigue or distraction in many *** prevent accidents,several low-cost hypovigilance(hypo-V)systems were developed in the past based on a multimodal-hybrid(physiological and behavioral)feature *** in this paper,real-time driver inattention and fatigue(Hypo-Driver)detection system is proposed through multi-view cameras and biosignal sensors to extract hybrid *** considered features are derived from non-intrusive sensors that are related to the changes in driving behavior and visual facial *** get enhanced visual facial features in uncontrolled environment,three cameras are deployed on multiview points(0◦,45◦,and 90◦)of the *** develop a Hypo-Driver system,the physiological signals(electroencephalography(EEG),electrocardiography(ECG),electro-myography(sEMG),and electrooculography(EOG))and behavioral information(PERCLOS70-80-90%,mouth aspect ratio(MAR),eye aspect ratio(EAR),blinking frequency(BF),head-titled ratio(HT-R))are collected and pre-processed,then followed by feature selection and fusion *** driver behaviors are classified into five stages such as normal,fatigue,visual inattention,cognitive inattention,and *** improved hypo-Driver system utilized trained behavioral features by a convolutional neural network(CNNs),recurrent neural network and long short-term memory(RNN-LSTM)model is used to extract physiological *** fusion of these features,the Hypo-Driver system is classified hypo-V into five stages based on trained layers and dropout-layer in the deep-residual neural network(DRNN)*** test the performance of a hypo-Driver system,data from 20 drivers are *** results of Hypo-Driver compared to state-of-theart methods are *** to the state-of-the-art Hypo-V system,on average,the Hypo-Driver system achieved a detection accuracy(AC)of 96.5%.The obtained results indicate that the Hypo-Driver system based on multimodal and multivie

关键词： Internet of things(IoT) intelligent transportation sensors multiview points transfer learning convolutional neural network recurrent neural network residual neural network multimodal features

Effect of temperature on milk fats of cow,buffalo,and goat used for frying local food products

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Food Quality and Safety 2018年第1期2卷 51-57页

作者： Mohd Umar Khan Mohammad Fahimul Hassan Abdul rauf Department of Chemistry Aligarh Muslim UniversityAligarhUttar PradeshIndia

Objectives:Thermal processes,such as refining and frying,result in the formation of trans fatty acids(TFAs)in edible oils or *** the detrimental effect of TFAs on human health,milk fat samples of cow,buffalo,and goat are collected in order to elucidate TFAs accumulation during thermal ***:The increased amount of TFAs due to heating is analyzed by attenuated total reflection-Fourier transform infrared(ATR-FTIR)spectroscopy in conjunction with second-derivative treatment and gas chromatographic(GC)***:The total amount of TFAs has been increased from 7.71 to 8.25 per cent for cow milk fat,7.12 to 7.82 per cent for buffalo milk fat,and from 6.82 to 7.61 per cent for goat milk fat on heating the samples to 125°C-175°C as predicted by ***:Local food products fried in these milk fats are hence very harmful to human *** results demonstrate that thermally induced TFAs in milk fats are closely related to the process temperature and time,which should be considered to reduce the formation of TFAs during thermal treatment.

关键词： Milk fat Trans fatty acid Local food products Heating phenomenon FTIR spectroscopy

Wind Algorithm Optimization a New Novel Technique for Global Optimization Problems

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Wind Algorithm Optimization a New Novel Technique for Global...

作者： Muhammad rauf 东北师范大学

学位级别：硕士

In the past few decades a lot of work has been done in the field of Optimization. Different kinds of algorithm have been proposed. Many of these methods are inspired by the natural phenomenon. In the dissertation, a new algorithm inspired by the environmental phenomena is introduced, which is called wind algorithm for optimization (WAO). This algorithm is based on the natural wind flow phenomenon from high to low pressure area, different gas molecules and lots of dust particle travel with in it. The proposed method involves simple techniques and equations to guide the particle to find the optimal solution. A set of benchmark functions is used to demonstrate the performance of the propose method and compare with well-known methods. The experiments show that WAO have tremendous capability to explore the search space to find the global optimization. The results obtained demonstrate the high performance of WAO in solving different kind of functions.

关键词： Global Optimization Evolutionary algorithm Swarm Intelligence Pressure Gradient Force Coriolis Effect