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Adaptive Runtime Monitoring of Service Level Agreement Violations in Cloud Computing

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Computers, Materials & Continua 2022年第6期71卷 4199-4220页

作者： Sami Ullah Khan babar nazir muhammad Hanif Akhtar Ali Sardar Alam Usman Habib Department of Computer Science COMSATS UniversityAbbottabad CampusPakistan Faculty of Computer Science and Engineering Ghulam Ishaq Khan(GIK)Institute of Engineering Sciences and Technology TopiPakistan IFahja Pvt Limited PeshawarPakistan Department of Computer Science National University of Computer and Emerging Sciences IslamabadChiniot-Faisalabad CampusPakistan

The cloud service level agreement(SLA)manage the relationship between service providers and consumers in cloud *** is an integral and critical part of modern era IT vendors and communication *** to low cost and flexibility more and more consumers delegate their tasks to cloud providers,the SLA emerges as a key aspect between the consumers and *** monitoring of Quality of Service(QoS)attributes is required to implement SLAs because of the complex nature of cloud *** other factors,such as user reliability,satisfaction,and penalty on violations are also taken into ***,there is no such policy of cloud SLA monitoring to minimize SLA *** this work,we have proposed a cloud SLA monitoring policy by dividing a monitoring session into two parts,for critical and non-critical *** critical and non-critical parameters will be decided on the interest of the consumer during SLA *** will help to shape a new comprehensive SLA based Proactive Resource Allocation Approach(RPAA)which will monitor SLA at runtime,analyze the SLA parameters and try to find the possibility of SLA *** also have implemented an adaptive system for allocating cloud IT resources based on SLA violations and *** have defined two main components of SLA-PRAA i.e.,(a)Handler and(b)Accounting and Billing *** have also described the function of both components through *** experimental results validate the performance of our proposed method in comparison with state-of-the-art cloud SLA policies.

关键词： Energy consumption penalty calculation proactive resource allocation service level agreement(SLA)monitoring SLA violation detection

Thermal Decomposition Kinetics of Some Di- and Triorganotin（IV） Carboxylates Derived from para-Nitrophenylethanoic Acid

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Chinese Journal of Chemistry 2011年第7期29卷 1359-1365页

作者： Danish, muhammad Ahmad, nazir Ali, Saqib muhammad, Niaz Department of Chemistry University of Gujrat Hafiz Hayat Campus Gujrat-50700 Pakistan Department of Chemistry University of Sargodha Srgoadha 40100 Pakistan Department of Chemistry Quaid-i-Azam University Islamabad-45320 Pakistan

Thermogravimetric （TG） investigations of organotin（IV） carboxylates with the general formula RmSnL4-m （where R=CH3, C2H5, n-C4H9, C6H5, cyclo-C6H11, n-C8H17, m=2, 3, and L=para-nitrophenylethanoate anion） have been performed. Derivative thermogravimetry （DTG） and differential thermal analysis （DTA） techniques, Horowitz-Metzger method and the fundamental thermodynamic relations are used to evaluate the thermokinetic pa- rameters of each thermal degradation pattern. Results reveal that the thermal stability is functional to Sn--C and Sn--O bonds. In the case of R2SnL2, activation energy, reaction order and pre-exponential factor associated with the bulk degradation processes increase as the alkane chain length increases. Hence, Oct2SnL2 is thermally more stable than Bu2SnL2, which in turn is more resistant to thermal dissociation than Et2SnL2. The same phenomenon is not observed for R3SnL compounds because their degradation is highly irregular. Furthermore, R2SnL2 has larger values of kinetic parameters than those of corresponding triorganotin（IV） para-nitrophenylethanotes. Thermodynamic parameters of these compounds also reinforce the above facts.

关键词： organotin(IV) caroxylate thermogravimetry decomposition kinetics activation energy thermodynamics

Accelerated ultraviolet weathering investigation on micro-/nano-SiO_(2)filled silicone rubber composites

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High Voltage 2018年第4期3卷 295-302页

作者： muhammad Tariq nazir Bao Toan Phung School of Electrical Engineering and Telecommunications University of New South Wales SydneyNSW 2052Australia

This study attempts to elucidate whether the addition of micro and/or nano-silica(SiO_(2))particles can enhance the resistance of pure polydimethylsiloxane against synergistic effects of UV,temperature and high-voltage *** types of composites(U-SR,M-SR,MN-SR and N-SR)are fabricated by adding micro and/or nano-silica particles and then subjected to multi-stress degradation in a test *** show that there is an apparent surface discoloration in the form of yellowish pale tint and a significant resistance to hydrophobicity reduction is offered by N-SR and MN-SR followed by M-SR and *** electron microscopy and surface roughness findings proclaimed that N-SR and MN-SR offer excellent resistance against filler exposure and an increase in surface *** is a minor reduction in absorbance level of Si(CH_(3))_(2) and Si-O-Si functional groups of composites but interestingly,hydrophilic hydroxyl group absorbance level is found higher in the U-SR ***,dielectric response measurements indicate considerable sensitivity to weathering with N-SR and MN-SR giving the lowest dielectric *** indicate that the addition of nano-silica to pure and micro-silica filled SR can enhance its UV weathering resistance considerably by building an effective UV shielding layer.

关键词： composites filled resistance

Structure of [Co(im)6]SiF6：Short Hydrogen Bonds Involving SiF62- Ions

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Chinese Journal of Structural Chemistry 2017年第6期36卷 965-970页

作者： nazir Sadia ARIF muhammad RASHID muhammad Abid WHITWOOD Adrian Charles Department of Chemistry Govt. College Women University Faisalabad 3800 Pakistan Institute of Chemical Sciences Bahhauddin Zakariya University Multan 60800 Pakistan Department of Chemistry University of Agriculture Faisalabad 38040 Pakistan Department of Chemistry University of York Heslington York YO10 5DD UK

A new complex C（18）H（24）CoF6N（12）Si has been synthesized by the reaction of cobalt（II） fluoride tetrahydrate with imidazole in a glass vessel. SiF62-was generated by in situ reaction of fluoride on silica. This complex has been characterized by different techniques such as elemental analysis, IR studies, magnetic measurements, electronic absorption measurements and single-crystal X-ray structure determination. The crystals are hexagonal in the R-3 space group, with a = 13.225（6）, b = 13.225（6）, c = 12.517（11） A, and g = 120°. In complex [Co（im）6]SiF6, the cobalt atom is six-coordinated to adopt a regular octahedral geometry and the SiF62-ion acts as the counter anion. The crystal displays a network structure and SiF62- bridging hexagram formation by N-（39）···F-Si interactions between imdazole and SiF62-. SiF62-plays an important role in assembling the supramolecular aggregates.

关键词： anion binding imidazole SiF62- hydrogen bonds transitionmetal fluoride complexes

Impact of Accelerated Ultraviolet Weathering on Polymeric Composite Insulators Under High Voltage DC Stress

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CSEE Journal of Power and Energy Systems 2022年第3期8卷 922-932页

作者： Israr Ullah muhammad Amin Haider Hussain M.Tariq nazir Faculty of Electrical Engineering Ghulam Ishaq Khan Institute of Engineering Sciences and TechnologyTopiSwabiKPK23460Pakistan School of Mechanical and Manufacturing Engineering University of New South Wales SydneyNSW 2052Australia School of Electrical Engineering and Telecommunications University of New South Wales SydneyNSW 2052Australia

This study investigates the weatherability of room temperature vulcanized(RTV)silicone rubber(SiR)and epoxybased material specimens with a composition of different nano and micro fillers against the collegial effects of high voltage DC,UV and temperature *** power transmission over long distances via HVDC is considered an economic option these days,so to ensure the system reliability,it is also critical to investigate these insulators under DC stress along with other environmental stresses(especially UV and temperature).For experimentation,composite samples *** epoxy(NE),epoxy with 15%micro SiO_(2)(EMS),epoxy with 5%nano SiO_(2)(ENS),neat SiR(NS),SiR with 15%micro SiO_(2)(SMS)and SiR with 5%nano SiO_(2)(SNS)are fabricated and subjected to accelerated aging in a weather chamber for 3,360 *** reveal that SMS and SNS offer better hydrophobic behavior followed by *** noticeable surface discoloration in the form of whitish shade with minor blackish spots is found in the case of SMS,while remaining samples also showed considerable color *** electron microscopy(SEM)and Fourier Transform Infrared Spectroscopy(FTIR)results showed that SNS and SMS presented quite excellent resistance to the exposure of *** and weight of all specimens are evaluated throughout the experiment and particularly for the water immersion ***,leakage current analysis indicated that SNS and SMS revealed high leakage current suppression compare to other *** indicate that SNS and SMS showed enhanced resistance against UV weathering under high voltage direct current stress.

关键词： Aging composites DC stress epoxy insulator UV SiR

Improving the polarisation and depolarisation current measuring method to avoid ground wire interference

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High Voltage 2022年第5期7卷 847-855页

作者： Fan Yang Kai Zhou Shakeel Akram muhammad Tariq nazir School of Electrical Engineering and Electronic Information Xihua UniversityChengduChina College of Electrical Engineering Sichuan UniversityChengduSichuanChina School of Electrical Engineering and Telecommunications University of New South WalesSydneyNew South WalesAustralia

The ground wire is significantly interfered by the current above 1μA in the industrial field during the traditional polarisation and depolarisation current(PDC)*** paper explains a method to test PDC from high-voltage wire using a principle of equipotential picoammeter,which is completely isolated from the ground wire and connected in series with the high voltage *** this method,a device is designed with a multi-range automatic switching *** device can automatically switch the test range current from 1 pA to 10 mA with a resolution of 1 *** demonstrate the device and effectiveness of this new method,the traditional and the proposed new device are used to test the PDC of cable samples in the laboratory as well as in an industrial *** is worth noting that there is almost no interference on the Earth wire in the laboratory environment but massive interference in the industrial environment using a traditional method of PDC measurement from ground or Earth *** new method of high-voltage testing can efficiently eliminate the interference and accurately measure PDC in a strong industrial interference ***,the wiring of this new method and device is relatively simple,which is convenient for industrial applications.

关键词： ground polar method

Changes in Nutrient-Homeostasis and Reserves Metabolism During Rice Seed Priming:Consequences for Seedling Emergence and Growth

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Agricultural Sciences in China 2010年第2期9卷 191-198页

作者： muhammad Farooq Shahzad M A Basra Abdul Wahid nazir Ahmad Department of Agronomy University of AgricultureFaisalabad Department of Crop Physiology University of AgricultureFaisalabad Department of Botany University of AgricultureFaisalabad

In this study influence of different seed priming treatments on the nutrient-homeostasis and reserve metabolism during seedling emergence and growth of rice were determined. Seed priming treatments included pre-germination, hydropriming for 48 h, osmohardening with KCl and CaCl2, ascorbate priming and hardening. All treatments shortened the emergence time and enhanced the energy and index of seedling emergence. Seedlings from primed seeds had greater length, number of roots and fresh and dry mass than control. Among the treatments, CaCl2, ascorbate and KCl proved better in enhancing emergence and seedling growth. Seed priming changed the pattern of N and Ca^2＋ homeostasis both of the seeds and seedlings, which were associated to enhancing s-amylase activity and reducing sugars content. Positive correlations of seedling attributes with nutrient content suggested that as a result of seed priming, most of N and Ca^2＋ were partitioned to embryo, which enhanced seedling emergence and subsequent growth of rice seedlings.

关键词： rice α-amylase activity nutrient homeostasis seedling emergence seedling vigor

Brain Tumor Segmentation in Multimodal MRI Using U-Net Layered Structure

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Computers, Materials & Continua 2023年第3期74卷 5267-5281页

作者： muhammad Javaid Iqbal muhammad Waseem Iqbal muhammad Anwar muhammad Murad Khan Abd Jabar Nazimi Mohammad nazir Ahmad Department of Information Technology The Superior UniversityLahorePakistan Department of Software Engineering The Superior UniversityLahorePakistan Department of Information Sciences Division of Science and TechnologyUniversity of EducationLahorePakistan Department of Computer Science Government College UniversityFaisalabadPakistan Deptment of Oral and Maxillofacial Surgery Faculty of DentistryUniversiti Kebangsaan MalaysiaKuala LumpurMalaysia Institute of IR4.0 Universiti Kebangsaan MalaysiaBangiSelangorMalaysia

The brain tumour is the mass where some tissues become old or damaged,but they do not die or not leave their *** brain tumour masses occur due to malignant *** tissues must die so that new tissues are allowed to be born and take their *** segmentation is a complex and time-taking problem due to the tumour’s size,shape,and appearance *** finding such masses in the brain by analyzing Magnetic Resonance Images(MRI)is a crucial task for experts and *** could not work for large volume images simultaneously,and many errors occurred due to overwhelming image *** main objective of this research study is the segmentation of tumors in brain MRI images with the help of digital image processing and deep learning *** research study proposed an automatic model for tumor segmentation in MRI *** proposed model has a few significant steps,which first apply the pre-processing method for the whole dataset to convert Neuroimaging Informatics Technology Initiative(NIFTI)volumes into the 3D NumPy *** the second step,the proposed model adopts U-Net deep learning segmentation algorithm with an improved layered structure and sets the updated *** the third step,the proposed model uses state-of-the-art Medical Image Computing and Computer-Assisted Intervention(MICCAI)BRATS 2018 dataset withMRI modalities such as T1,T1Gd,T2,and Fluidattenuated inversion recovery(FLAIR).Tumour types in MRI images are classified according to the tumour *** of these masses carried by state-of-the-art approaches such that the first is enhancing tumour(label 4),edema(label 2),necrotic and non-enhancing tumour core(label 1),and the remaining region is label 0 such that edema(whole tumour),necrosis and *** proposed model is evaluated and gets the Dice Coefficient(DSC)value for High-grade glioma(HGG)volumes for their test set-a,test set-b,and test set-c 0.9795, 0.9855 and 0.9793, respectively.

关键词： Brain tumour segmentation magnetic resonance images modalities dice coefficient low-grade glioma U-Net

Gastrointestinal Diseases Classification Using Deep Transfer Learning and Features Optimization

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Computers, Materials & Continua 2023年第4期75卷 2227-2245页

作者： Mousa Alhajlah muhammad Nouman Noor muhammad nazir Awais Mahmood Imran Ashraf Tehmina Karamat College of Applied Computer Science King Saud University(Almuzahmiyah Campus)Riyadh11543Saudi Arabia Department of Computer Science HITEC UniversityTaxila47080Pakistan Department of Computer Engineering HITEC UniversityTaxila47080Pakistan Department of Software Engineering Foundation University IslamabadIslamabad44000Pakistan

Gastrointestinal diseases like ulcers, polyps’, and bleeding areincreasing rapidly in the world over the last decade. On average 0.7 millioncases are reported worldwide every year. The main cause of gastrointestinaldiseases is a Helicobacter Pylori (H. Pylori) bacterium that presents in morethan 50% of people around the globe. Many researchers have proposeddifferent methods for gastrointestinal disease using computer vision *** of them focused on the detection process and the rest of themperformed classification. The major challenges that they faced are the similarityof infected and healthy regions that misleads the correct classificationaccuracy. In this work, we proposed a technique based on Mask Recurrent-Convolutional Neural Network (R-CNN) and fine-tuned pre-trainedResNet-50 and ResNet-152 networks for feature extraction. Initially, the region ofinterest is detected using Mask R-CNN which is later utilized for the trainingof fine-tuned models through transfer learning. Features are extracted fromfine-tuned models that are later fused using a serial approach. Moreover, anImproved Ant Colony Optimization (ACO) algorithm has also opted for thebest feature selection from the fused feature vector. The best-selected featuresare finally classified using machine learning techniques. The experimentalprocess was conducted on the publicly available dataset and obtained animproved accuracy of 96.43%. In comparison with state-of-the-art techniques,it is observed that the proposed accuracy is improved.

关键词： Diseases deep learning endoscopy gastrointestinal tract transfer learning