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Journal of Pharmaceutical Analysis 2017年第4期7卷 258-264页

作者： Umar J.Pandit Gowhar A.Naikoo Mehraj Ud Din Sheikh gulzar a.khan K.K.Raj S.N.Limaye Department of Chemistry Dr. Harisingh Gour UniversitySagarM.P.India Department of Mathematics and Sciences College of Arts and Applied SciencesDofar UniversitySalalahOman

An electrochemically pretreated silver macroporous(Ag MP) multiwalled carbon nanotube modified glassy carbon electrode(PAN-Ag MP-MWCNT-GCE) was fabricated for the selective determination of an antihyperlipidimic drug, pitavastatin(PST). The fabricated electrochemical sensor was characterized by cyclic voltammetry(CV) and electrochemical impedance spectroscopy(EIS). The fabricated electrode was employed in quantifying and determining PST through differential pulse adsorptive stripping voltammetry(DPAdSV) and CV. The electrode fabrication proceeded with remarkable sensitivity to the determination of PST. The effect of various optimized parameters such as pH, scan rate(ν), accumulation time(t_(acc)), accumulation potential(U_(acc))and loading volumes of Ag MP-MWCNT suspension were investigated to evaluate the performance of synthesized electrochemical sensor and to propose a simple, accurate, rapid and economical procedure for the quantification of PST in pharmaceutical formulations and biological fluids. A linear response of PST concentration in the range 2.0×10^(-7)–1.6×10^(-6)M with low detection(LOD) and quantification(LOQ) limits of 9.66 ± 0.04 nM and 32.25 ± 0.07 nM, respectively, were obtained under these optimized conditions.

关键词： Pitavastatin Electrochemical sensor Adsorptive stripping voltammetry Biological fluids Pharmaceutical formulations

Conformal Killing Vectors in LRS Bianchi Type Ⅴ Spacetimes

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Communications in Theoretical Physics 2016年第3期65卷 315-320页

作者： Suhail khan Tahir Hussain Ashfaque H.Bokhari gulzar Ali khan Department of Mathematics University of Peshawar Department of Mathematics and Statistics King Fahd University of Petroleum and Minerals

In this note,we investigate conformal Killing vectors(CKVs)of locally rotationally symmetric(LRS)Bianchi type V *** to some integrability conditions,CKVs up to implicit functions of(t,x)are *** these integrability conditions in some particular cases,the CKVs are completely determined,obtaining a classification of LRS Bianchi type V *** inheriting conformal Killing vectors of LRS Bianchi type V spacetimes are also discussed.

关键词： conformal Killing vectors Homothetic vectors conformally flat metrics

Variation in patient dose due to differences in calibration and dosimetry protocols

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Nuclear Science and Techniques 2018年第5期29卷 44-49页

作者： Wazir Muhammad Asad Ullah gulzar khan Tahir Zeb khan Tauseef Jamaal Fawad Ullah Matiullah khan Amjad Hussain Department of Therapeutic Radiology Yale-School of MedicineYale UniversityNew HavenCT 06520-8040USA Heath Physics Division(HPD) Pakistan Institute of Nuclear Science and Technology(PINSTECH)Islamabad 45650Pakistan Department of Physics Abul Wali Khan UniversityMardan 23200Pakistan Pakistan Institute Nuclear Science&Technology(PIEAS) Islamabad 45650Pakistan Department of Physics Kohat University of Science and TechnologyKohat 26000Pakistan Department of Medical Physics CancerCare ManitobaBrandonMB R7A 2B3Canada

For precise and accurate patient dose delivery,the dosimetry system must be calibrated properly according to the recommendations of standard dosimetry protocols such as TG-51 and TRS-398. However, the dosimetry protocol followed by a calibration laboratory is usually different from the protocols that are followed by different clinics, which may result in variations in the patient *** prime objective in this study was to investigate the effect of the two protocols on dosimetry *** measurements were performed for a Co-60 teletherapy unit and a high-energy Varian linear accelerator with 6 and 15 MV photon and 6, 9, 12, and 15 MeV electron beams, following the recommendations and procedures of the AAPM TG-51 and IAEA TRS-398 dosimetry protocols. The dosimetry systems used for this study were calibrated in a Co-60 radiation beam at the Secondary Standard Dosimetry Laboratory(SSDL) PINSTECH,Pakistan, following the IAEA TRS-398 protocol. The ratio of the measured absorbed doses to water in clinical setting,D_w(TG-51/TRS-398), was 0.999 and 0.997 for 6 and15 MV photon beams,whereas these ratios were 1.013,1.009, 1.003, and 1.000 for 6, 9, 12, and 15 MeV electron beams, respectively. This difference in the absorbed dosesto-water D_w ratio may be attributed mainly due to beam quality(K_Q) and ion recombination correction factor.

关键词： Radiation dosimetry Dosimetry systems calibrations Patient dose Absorbed dose-to-water ratio AAPM TG-51 IAEA TRS-398

Autonomous Parking-Lots Detection with Multi-Sensor Data Fusion Using Machine Deep Learning Techniques

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Computers, Materials & Continua 2021年第2期66卷 1595-1612页

作者： Kashif Iqbal Sagheer Abbas Muhammad Adnan khan Atifa Ather Muhammad Saleem khan Areej Fatima gulzar Ahmad School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Department of Computer Sciences GC UniversityLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Computer Science Comsats University IslamabadLahore CampusLahore54000Pakistan

The rapid development and progress in deep machine-learning techniques have become a key factor in solving the future challenges of ***-based target detection and object classification have been improved due to the development of deep learning *** fusion in autonomous driving is a fact and a prerequisite task of data preprocessing from multi-sensors that provide a precise,well-engineered,and complete detection of objects,scene or *** target of the current study is to develop an in-vehicle information system to prevent or at least mitigate traffic issues related to parking detection and traffic congestion *** this study we examined to solve these problems described by(1)extracting region-of-interest in the images(2)vehicle detection based on instance segmentation,and(3)building deep learning model based on the key features obtained from input parking *** build a deep machine learning algorithm that enables collecting real video-camera feeds from vision sensors and predicting free parking *** augmentation techniques were performed using edge detection,cropping,refined by rotating,thresholding,resizing,or color augment to predict the region of bounding boxes.A deep convolutional neural network F-MTCNN model is proposed that simultaneously capable for compiling,training,validating and testing on parking video frames through *** results of proposed model employing on publicly available PK-Lot parking dataset and the optimized model achieved a relatively higher accuracy 97.6%than previous reported ***,this article presents mathematical and simulation results using state-of-the-art deep learning technologies for smart parking space *** results are verified using Python,TensorFlow,OpenCV computer simulation frameworks.

关键词： Smart parking-lot detection deep convolutional neural network data augmentation region-of-interest object detection

An Energy-Efficient Mobile Agent-Based Data Aggregation Scheme for Wireless Body Area Networks

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Computers, Materials & Continua 2022年第3期70卷 5929-5948页

作者： gulzar Mehmood Muhammad Zahid khan Muhammad Fayaz Mohammad Faisal Haseeb Ur Rahman Jeonghwan Gwak Department of Computer Science&Information Technology University of MalakandChakdara Dir Lower23021Pakistan Department of Computer Science University of Central AsiaNarynKyrgyzstan Department of Software Korea National University of TransportationChungju27469Korea Department of Biomedical Engineering Korea National University of TransportationChungju27469Korea Department of AI Robotics Engineering Korea National University of TransportationChungju27469Korea Department of IT and Energy Convergence(BK21 FOUR) Korea National University of TransportationChungju27469Korea

Due to the advancement in wireless technology and miniaturization,Wireless Body Area Networks(WBANs)have gained enormous popularity,having various applications,especially in the healthcare *** are intrinsically resource-constrained;therefore,they have specific design and development *** such highly desirable requirement is an energy-efficient and reliable Data Aggregation(DA)mechanism for *** efficient and reliableDAmay ultimately push the network to operate without much human intervention and further extend the network *** conventional client-serverDAparadigm becomes unsuitable and inefficient for WBANs when a large amount of data is generated in the ***,in most of the healthcare applications(patient’s critical conditions),it is highly important and required to send data as soon as possible;therefore,reliable data aggregation in WBANs is of great *** tackle the shortcomings of the client-serverDAparadigm,theMobile Agent-Basedmechanismproved to be a more workable *** aMobile Agent-Based mechanism,a taskspecific mobile agent(code)traverses to the intended sources to gather *** agents travel on a predefined path called itinerary;however,planning a suitable and reliable itinerary for a mobile agent is also a challenging issue *** paper presents a new Mobile Agent-Based DA scheme for WBANs,which is energy-efficient and ***,in the proposed scheme,the network is divided into clusters,and cluster-heads are ***,a mobile agent is generated from the base station to collect the required data from cluster *** the case,if any fault occurs in the existing itinerary,an alternate itinerary is planned in real-time without compromising the network *** our simulation-based validation,we have found that the proposed system delivers significantly improved fault-tolerance and reliability with energy-efficiency and extended network lifetime in WBANs.

关键词： WBANs mobile-agent data aggregation reliability

Intelligent Ammunition Detection and Classification System Using Convolutional Neural Network

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Computers, Materials & Continua 2021年第5期67卷 2585-2600页

作者： gulzar Ahmad Saad Alanazi Madallah Alruwaili Fahad Ahmad Muhammad Adnan khan Sagheer Abbas Nadia Tabassum School of Computer Science NCBA&ELahore54000Pakistan College of Computer and Information Sciences Jouf UniversitySakakaAljouf72341Saudi Arabia Department of Basic Sciences Jouf UniversitySakakaAljouf72341Saudi Arabia Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Department of Computer Science Virtual University of PakistanLahore54000Pakistan Department of Computer Sciences Kinnaird College for WomenLahore54000Pakistan

Security is a significant issue for everyone due to new and creative ways to commit *** Closed-Circuit Television(CCTV)systems are being installed in offices,houses,shopping malls,and on streets to protect *** monitor CCTV;however,it is difficult for a single person to monitor the actions of multiple people at one ***,there is a dire need for an automated monitoring system that detects a person with ammunition or any other harmful material Based on our research and findings of this study,we have designed a new Intelligent Ammunition Detection and Classification(IADC)system using Convolutional Neural Network(CNN).The proposed system is designed to identify persons carrying weapons and ammunition using CCTV *** weapons are identified,the cameras sound an *** the proposed IADC system,CNN was used to detect firearms and *** CNN model which is a Deep Learning technique consists of neural networks,most commonly applied to analyzing visual imagery has gained popularity for unstructured(images,videos)data ***,this system generates an early warning through detection of ammunition before conditions become *** the faster and earlier the prediction,the lower the response time,loses and potential *** proposed IADC system provides better results than earlier published models like VGGNet,OverFeat-1,OverFeat-2,and OverFeat-3.

关键词： CCTV CNN IADC deep learning intelligent ammunition detection DnCNN

A User-friendly Model for Ransomware Analysis Using Sandboxing

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Computers, Materials & Continua 2021年第6期67卷 3833-3846页

作者： Akhtar Kamal Morched Derbali Sadeeq Jan Javed Iqbal Bangash Fazal Qudus khan Houssem Jerbi Rabeh Abbassi gulzar Ahmad Department of Computer Science&Information Technology National Center for Cyber SecurityUniversity of Engineering&TechnologyPeshawar25120Pakistan Department of Information Technology Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Institute of Computer Sciences and Information Technology(ICS/IT) University of AgriculturePeshawar25130Pakistan Department of Industrial/Electrical Engineering College of EngineeringUniversity of Ha’ilHail1234Saudi Arabia Department of Electrical Engineering University of Engineering&TechnologyPeshawar25120Pakistan

Ransomware is a type of malicious software that blocks access to a computer by encrypting user’s files until a ransom is paid to the *** have been several reported high-profile ransomware attacks including WannaCry,Petya,and Bad Rabbit resulting in losses of over a billion dollars to various individuals and businesses in the *** analysis of ransomware is often carried out via sandbox environments;however,the initial setup and configuration of such environments is a challenging ***,it is difficult for an ordinary computer user to correctly interpret the complex results presented in the reports generated by such environments and analysis *** this research work,we aim to develop a user-friendly model to understand the taxonomy and analysis of ransomware ***,we aim to present the results of analysis in the form of summarized reports that can easily be understood by an ordinary computer *** model is built on top of the well-known Cuckoo sandbox environment for identification of the ransomware as well as generation of the summarized *** addition,for evaluating the usability and accessibility of our proposed model,we conduct a comprehensive user survey consisting of participants from various fields,e.g.,professional developers from software houses,people from academia(professors,students).Our evaluation results demonstrate a positive feedback of approximately 92%on the usability of our proposed model.

关键词： Ransomware sandbox user-friendly model survey

Thirty years of chronic current account deficit 1972—2001: The case of Pakistan

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Journal of Harbin Institute of Technology(New Series) 2006年第5期13卷 559-563页

作者： Saqib gulzar 惠晓峰 School of Management Harbin Institute of Technology Harbin 150001 China

Pakistan has been suffering from a chronic deficit in the current account for many decades. Current account deficit strengthens the foreign currency against the home currency which makes imports of good and services more expensive as compared to exports and causes devaluation of home currency. The main objective of this paper is to find out how the current account deficit is influenced by different economic factors. Our regression model’s estimated results indicate that the percentage change in the volume of imports, foreign direct investments and total consumption are positively correlated and, on the other hand, exports, workers remittance, growth in agriculture and manufacturing are negatively correlated with the current account balance of Pakistan during the observed period 1972-2001.

关键词： current account deficit devaluation foreign direct investment total consumption

Pollination adaptations of group-by-group stamen movement in a meadow plant with temporal floral closure

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Plant Diversity 2021年第4期43卷 308-316页

作者： Aysajan Abdusalam Reyilamu Maimaitituerxun Halibinuer Hashan gulzar Abdukirim College of Life and Geographic Sciences Kashi UniversityKashiXinjiang844000China Key Laboratory of Biological Resources and Ecology of Pamirs Plateau in Xinjiang Uygur Autonomous Region Kashi UniversityKashiXinjiang844000China

Floral sexual organ(stamen and pistil)movements are selective adaptations that have different functions in male-female reproduction and the evolution of flowering ***,the significance of stamen movements in the spatialetemporal function and separation of male and female organs has not been experimentally determined in species exhibiting floral temporal *** current study investigated the role of slow stamen(group-by-group)movement in male-female sexual function,and the effect of stamen movement on pollen removal,male-male and male-female interference,and mating patterns of Geranium pratense,a plant with temporal floral *** species uses stamen group-by-group movement and therefore anther-stigma spatialetemporal *** separation(two whorls of stamen and pistil length)was shown to be stronger than temporal *** found that stamen movements to the center of the flower increase pollen removal,and the most common pollinators visited more frequently and for longer durations during the male floral stage than during the female floral *** movements increased both self-pollen deposition rate and sexual interference in *** fruit and seed set of naturally and outcrossed pollinated flowers were more prolific than those of selfpollinated ***-by-group stamen movement,dehiscence of stamens,pistil movement,and male-female spatialetemporal functional separation of *** before floral temporal closure may prevent male-female and stamen-stamen interference and pollen discounting,and may increase pollen removal and cross-pollination.

关键词： Floral structure Male-female interference Pollen removal Self-pollen deposition

Implied volatility estimation of bitcoin options and the stylized facts of option pricing

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Financial Innovation 2021年第1期7卷 1508-1537页

作者： Noshaba Zulfiqar Saqib gulzar COMSATS University Islamabad-Wah Campus Wah CanttPakistan

The recently developed Bitcoin futures and options contracts in cryptocurrency derivatives exchanges mark the beginning of a new era in Bitcoin price risk *** need for these tools dates back to the market crash of 1987,when investors needed better ways to protect their portfolios through option *** tools provide greater flexibility to trade and hedge volatile swings in Bitcoin prices *** violation of constant volatility and the log-normality assumption of the Black–Scholes option pricing model led to the discovery of the volatility smile,smirk,or skew in options *** stylized facts;that is,the volatility smile and implied volatilities implied by the option prices,are well documented in the option literature for almost all financial *** are expected to be true for Bitcoin options as *** data sets for the study are based on short-dated Bitcoin options(14-day maturity)of two time periods traded on Deribit Bitcoin Futures and Options Exchange,a Netherlandsbased cryptocurrency derivative *** estimated results are compared with benchmark Black–Scholes implied volatility values for accuracy and efficiency *** study has two aims:(1)to provide insights into the volatility smile in Bitcoin options and(2)to estimate the implied volatility of Bitcoin options through numerical approximation techniques,specifically the Newton Raphson and Bisection *** experimental results show that Bitcoin options belong to the commodity class of assets based on the presence of a volatility forward skew in Bitcoin option ***,the Newton Raphson and Bisection methods are effective in estimating the implied volatility of Bitcoin ***,the Newton Raphson forecasting technique converges faster than does the Bisection method.

关键词： Bitcoin options Deribit Bitcoin smile Implied volatility estimation Numerical estimation