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Approximation Properties of Julia Polynomials

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Acta Mathematica Sinica,English Series 2007年第7期23卷 1303-1310页

作者： daniyal M.ISRAFILOV Burcin OKTAY Department of Mathematics Faculty of Art and SciencesBalikesir University

Let G be a finite simply connected domain in the complex plane C, bounded by a rectifiable Jordan curve L, and let w = φ0 （z） be the Riemann conformal mapping of G onto D （0, r0）：= {E-mail：：｜｜〈 r0}, normalized by the conditions φ0 （z0） = 0, φ＇0 （z0） = 1.In this work, the rate of approximation of φ0 by the polynomials, defined with the help of the solutions of some extremal problem, in a closed domain G is studied. This rate depends on the geometric properties of the boundary L.

关键词： conformal mapping extremal polynomials bounded boundary rotation Dini-smooth boundary

Optimal site selection for an optical-astronomical observatory in Pakistan using Multicriteria Decision Analysis

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Research in Astronomy and Astrophysics 2019年第9期19卷 71-78页

作者： daniyal Syed Jamil Hassan Kazmi Institute of Space&Planetary Astrophysics University of Karachi75270KarachiPakistan Department of Geography University of KarachiKarachi75270Pakistan

An astronomical observatory is the core component of any astronomical research facility that connects astronomers with their lab: the Cosmos. The research quality of an astronomical facility is rooted in the precision of data, collected by its observatory. For optimal performance, an observatory is sited while considering certain astronomical, environmental, geological and social parameters. This study aims to identify the potential sites in Pakistan for locating an optical-astronomical observatory using the Multicriteria Decision Analysis(MCDA) technique. The study uses the Analytic Hierarchy Process(AHP) for deriving the influence weights of nine evaluation criteria: Photometric Night Fraction;Night-time Sky Brightness;Sky Transparency;Aerosol Concentration;Altitude;Terrain Slope;Accessibility;Seismic Vulnerability;and Landuse/Land Cover. On the basis of experts’ opinions and previous studies, the evaluation criteria have been ordered in two possible preference sequences for identifying their influence weights with respect to each other for taking part in MCDA. Consequently, the process of MCDA identified certain areas with respect to each preference sequence, whereas some areas were found to be suitable according to both preference sequences. The study synchronizes the required eclectic data into an evaluation matrix that augments the process of astronomical site selection. In the future, this study will be useful for astronomical societies and for furthering astronomical research in the country.

关键词： astronomical instrumentation methods and techniques:data analysis methods and techniques:site testing general:miscellaneous

A Lightweight Deep Autoencoder Scheme for Cyberattack Detection in the Internet of Things

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Computer Systems Science & Engineering 2023年第7期46卷 57-72页

作者： Maha Sabir Jawad Ahmad daniyal Alghazzawi Information Systems Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah80200Saudi Arabia School of Computing Edinburgh Napier UniversityEdinburgh EH105DYUK

The Internet of things(IoT)is an emerging paradigm that integrates devices and services to collect real-time data from surroundings and process the information at a very high speed to make a *** several advantages,the resource-constrained and heterogeneous nature of IoT networks makes them a favorite target for cybercriminals.A single successful attempt of network intrusion can compromise the complete IoT network which can lead to unauthorized access to the valuable information of consumers and *** overcome the security challenges of IoT networks,this article proposes a lightweight deep autoencoder(DAE)based cyberattack detection *** proposed approach learns the normal and anomalous data patterns to identify the various types of network *** most significant feature of the proposed technique is its lower complexity which is attained by reducing the number of *** optimally train the proposed DAE,a range of hyperparameters was determined through extensive experiments that ensure higher attack detection *** efficacy of the suggested framework is evaluated via two standard and open-source *** proposed DAE achieved the accuracies of 98.86%,and 98.26%for NSL-KDD,99.32%,and 98.79%for the UNSW-NB15 dataset in binary class and multi-class *** performance of the suggested attack detection framework is also compared with several state-of-the-art intrusion detection *** outcomes proved the promising performance of the proposed scheme for cyberattack detection in IoT networks.

关键词： Autoencoder cybersecurity deep learning intrusion detection IoT

On the construction of balanced repeated measurements designs with good circular properties

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Statistical Theory and Related Fields 2023年第2期7卷 121-129页

作者： Muhammad daniyal Jigneshkumar Gondaliya Rashid Ahmed Department of Statistics The Islamia University of BahawalpurBahawalpurPakistan Gujarat Commerce College Gujarat UniversityAhmedabadIndia

Several fields,such as biological,medical,public health,agricultural sciences,etc.,require circular balanced repeated measurement designs with fewer unequal number of repeated measure-ments than the number of ***,the availability and high cost of experimental subjects in these fields prefer the design in fewer experimental ***,balancing the carryover effects of the treatments in minimal experimental subjects is one of the problems in this *** this paper,several new series of minimal circular nearly strongly balanced RMDs in periods of two and three different sizes are *** proposed construction of designs has high efficiency and,therefore,can save the cost of experimentations due to a fewer exper-imental *** of the designs are very useful because of the unavailability of strongly balanced RMDs for these combinations of parameters.A list of sets of shifts for the construction of minimal circular nearly SBRMDs has also been mentioned in the Appendix.

关键词： Carryover effects repeated measurement designs balanced repeated measurement designs strongly balanced repeated measurement designs circular nearly strongly balanced repeated measurement designs

Optimized Generative Adversarial Networks for Adversarial Sample Generation

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Computers, Materials & Continua 2022年第8期72卷 3877-3897页

作者： daniyal M.Alghazzawi Syed Hamid Hasan Surbhi Bhatia Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Systems College of Computer Sciences and Information TechnologyKing Faisal UniversitySaudi Arabia

Detecting the anomalous entity in real-time network traffic is a popular area of research in recent *** few researches have focused on creating malware that fools the intrusion detection system and this paper focuses on this *** are using Deep Convolutional Generative Adversarial Networks(DCGAN)to trick the malware classifier to believe it is a normal *** this work,a new dataset is created to fool the Artificial Intelligence(AI)based malware detectors,and it consists of different types of attacks such as Denial of Service(DoS),scan 11,scan 44,botnet,spam,User Datagram Portal(UDP)scan,and ssh *** discriminator used in the DCGAN discriminates two different attack classes(anomaly and synthetic)and one normal *** model collapse,instability,and vanishing gradient issues associated with the DCGAN are overcome using the proposed hybrid Aquila optimizer-based Mine blast harmony search algorithm(AO-MBHS).This algorithm helps the generator to create realistic malware samples to be undetected by the *** performance of the proposed methodology is evaluated using different performance metrics such as training time,detection rate,F-Score,loss function,Accuracy,False alarm rate,*** superiority of the hybrid AO-MBHS based DCGAN model is noticed when the detection rate is changed to 0 after the retraining method to make the defensive technique hard to be noticed by the malware detection *** support vector machines(SVM)is used as the malicious traffic detection application and its True positive rate(TPR)goes from 80%to 0%after retraining the proposed model which shows the efficiency of the proposed model in hiding the samples.

关键词： Aquila optimizer convolutional generative adversarial networks mine blast harmony search algorithm network traffic dataset adversarial artificial intelligence techniques

Blockchain-as-a-Utility for Next-Generation Healthcare Internet of Things

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Computers, Materials & Continua 2021年第7期68卷 359-376页

作者： Alaa Omran Almagrabi Rashid Ali daniyal Alghazzawi Abdullah AlBarakati Tahir Khurshaid Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia School of Intelligent Mechatronics Engineering Sejong UniversitySeoul05006Korea Department of Electrical Engineering Yeungnam UniversityGyeongsan38541Korea

The scope of the Internet of Things(IoT)applications varies from strategic applications,such as smart grids,smart transportation,smart security,and smart healthcare,to industrial applications such as smart manufacturing,smart logistics,smart banking,and smart *** the advancement of the IoT,connected devices become smart and intelligent with the help of sensors and ***,issues and challenges need to be addressed regarding the data reliability and protection for signicant nextgeneration IoT applications like smart *** these next-generation applications,there is a requirement for far-reaching privacy and security in the ***,blockchain systems have emerged as a key technology that changes the way we exchange *** emerging technology has revealed encouraging implementation scenarios,such as secured digital *** a technical advancement,the blockchain network has the high possibility of transforming various industries,and the next-generation healthcare IoT(HIoT)can be one of those *** have been several studies on the integration of blockchain networks and ***,blockchain-as-autility(BaaU)for privacy and security in HIoT systems requires a systematic *** paper reviews blockchain networks and proposes BaaU as one of the *** proposed BaaU-based framework for trustworthiness in the next-generation HIoT systems is divided into two *** rst scenario suggests that a healthcare service provider integrates IoT sensors such as body sensors to receive and transmit information to a blockchain network on the IoT *** second proposed scenario recommends implementing smart contracts,such as Ethereum,to automate and control the trusted devices’subscription in the HIoT services.

关键词： blockchain next-generation IoT privacy and security healthcare IoT complex healthcare applications

Nanotechnological strategies for prostate cancer imaging and diagnosis

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Science China Chemistry 2022年第8期65卷 1498-1514页

作者： Thecla Trinity Wheeler Pei Cao Muhammad daniyal Ghouri Tianjiao Ji Guangjun Nie Yuliang Zhao CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety CAS Center for Excellence in NanoscienceNational Center for Nanoscience and TechnologyBeijing 100190China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences Beijing 100049China

The high incidence rates and complicated subtypes of prostate cancer(PCa)call for the demand of the precise diagnostic and therapeutic *** clinical imaging techniques,such as MRI,CT,and ultrasonography are difficult to accurately detect the early-stage tumor lesions,and biochemical assays or biopsies are invasive and cannot provide sufficient information for the PCa staging and *** has the potential to improve the accuracy of current diagnosis strategies by targeting specific PCa biomarkers and/or integrating multiple imaging *** this review,we briefly introduce current clinical PCa imaging strategies and their major limitations,and highlight representative works on nanoparticle-mediated multimode imaging *** also discuss the challenges of nanotechnology-based PCa diagnosis,and come up with suggestions and perspectives.

关键词： prostate cancer diagnosis nanotechnology targeting multi-mode imaging

An Improved Optimized Model for Invisible Backdoor Attack Creation Using Steganography

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Computers, Materials & Continua 2022年第7期72卷 1173-1193页

作者： daniyal M.Alghazzawi Osama Bassam J.Rabie Surbhi Bhatia Syed Hamid Hasan Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Systems College of Computer Sciences and Information TechnologyKing Faisal UniversitySaudi Arabia

The Deep Neural Networks(DNN)training process is widely affected by backdoor *** backdoor attack is excellent at concealing its identity in the DNN by performing well on regular samples and displaying malicious behavior with data poisoning *** state-of-art backdoor attacks mainly follow a certain assumption that the trigger is sample-agnostic and different poisoned samples use the same *** overcome this problem,in this work we are creating a backdoor attack to check their strength to withstand complex defense strategies,and in order to achieve this objective,we are developing an improved Convolutional Neural Network(ICNN)model optimized using a Gradient-based Optimization(GBO)(ICNN-GBO)*** the ICNN-GBO model,we are injecting the triggers via a steganography and regularization *** are generating triggers using a single-pixel,irregular shape,and different *** performance of the proposed methodology is evaluated using different performance metrics such as Attack success rate,stealthiness,pollution index,anomaly index,entropy index,and *** the CNN-GBO model is trained with the poisoned dataset,it will map the malicious code to the target *** proposed scheme’s effectiveness is verified by the experiments conducted on both the benchmark datasets namely CIDAR-10 andMSCELEB 1M *** results demonstrate that the proposed methodology offers significant defense against the conventional backdoor attack detection frameworks such as STRIP and Neutral cleanse.

关键词： Convolutional neural network gradient-based optimization steganography backdoor attack and regularization attack

PEGylated mBPEI-rGO nanocomposites facilitate hepotocarcinoma treatment combining photothermal therapy and chemotherapy

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Science Bulletin 2018年第14期63卷 935-946页

作者： Chunyi Tong Xizhi Zhang Jialong Fan Bin Li Bin Liu Muhammad daniyal Wei Wang College of Biology Hunan Province Key Laboratory of Plant Functional Genomics and Developmental RegulationHunan University TCM and Ethnomedicine Innovation&Development Laboratory School of PharmacyHunan University of Chinese Medicine

Despite chemotherapy has been widely used for tumor therapy, the serious side effect is still a major challenge. Recently, two dimensional nanomaterial-based drug delivery systems have attracted wide concern due to their high drug loading and low side effect. In addition, some kinds of nanomaterials can directly act as a photosensitizer to induce cancer destruction. In this study, we developed a drug delivery system of mixture of high/low molecular weight branched polyethylenimine-polyethylene glycol-reduced graphene oxide(mBPEI-PEG-rGO) using reduced graphene oxide as matrix. A model drug of doxorubicin(DOX) was loaded on the nanocomposites with the efficiency of 81% and the release rate of more than 50% at acidic environment. In vitro experiments indicated that mBPEI-PEG-rGO-DOX with enhanced stability and biocompatibility efficiently delivered and released DOX into cells mainly through micropinocytosis and killed SMMC-7721 cells by inducing reactive oxygen species(ROS) and cell apoptosis. Furthermore, in vivo experiments indicated that the combination of intratumoral injection of mBPEI-PEG-rGO-DOX and local laser irradiation nearly ablated hepatocarcinoma. In conclusion, this new drug delivery system provided an alternative for combinational photothermal and chemotherapy against hepatocarcinoma.

关键词： Reduced graphene oxide Branched polyethylenimine Doxorubicin Drug delivery Phototherapy