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Analytical Model for Underwater Wireless Sensor Network Energy Consumption Reduction

Computers, Materials & Continua 2022年第7期72卷 1611-1626页

作者： Huma Hasan Rizvi Sadiq Ali Khan Rabia Noor Enam kashif Nisar muhammad Reazul Haque Computer Science Department UBIT Karachi UniversityKarachi75270Pakistan Sir Syed University of Engineering and Technology Karachi75300Pakistan Faculty of Computing and Informatics University Malaysia SabahJalan UMS88400Kota KinabaluSabahMalaysia Faculty of Computing&Informatics Multimedia UniversityPersiaran Multimedia63100CyberjayaSelangorMalaysia

In an Underwater Wireless Sensor Network(UWSN),extreme energy loss is carried out by the early expiration of sensor nodes and causes a reduction in efficiency in the submerged acoustic sensor *** based on clustering strategies,instead of each node sending information by itself,utilize cluster heads to collect information inside the clusters for forwarding collective information to *** can effectively minimize the total energy loss during *** environment of UWSN is 3D architecture-based and follows a complex hierarchical clustering strategy involving its most effecting unique parameters such as propagation delay and limited transmission *** base clustering strategy works in rounds,where each round comprises three fundamental stages:cluster head selection,grouping or node association,and data aggregation followed by forwarding data to the *** UWSN,the energy consumed during the formation of clusters has been considered casually or completely evaded in the previous *** this paper,the cluster head setup period has been considered the main contributor to extra energy utilizer.A numerical channel model is proposed to compute extra *** is performed by using a UWSN broad *** results have shown that extra maximum energy consumption is approximately 12.9 percent of the system total energy consumed in information transmissions.

关键词： Analytical model submerged acoustic sensor systems energy loss round base clustering UWSN extra energy

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Characteristics and Genesis of the Es_(1) Productive Sandstone Reservoir(Paleogene),Nanpu Sag,East China

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Acta Geologica Sinica(English Edition) 2021年第3期95卷 909-927页

作者： kashif muhammad CAO Yingchang Ahsan NAVEED Asif muhammad YUAN Guanghui XI Kelai ZHANG Shaomin XU Qisong MUsman TAHIR Isgandarov ORKHAN School of Geosciences China University of PetroleumQingdaoShandong 266580China Department of Earth Sciences University of SargodhaSargodha 40100Pakistan Institute of Geology University of the PunjabLahore 54590Pakistan School of Petroleum Engineering China University of PetroleumQingdaoShandong 266580China

The Shahejie Formation is a fundamental rock unit for hydrocarbon exploration and production in the Nanpu Sag,Bohai Bay *** including thin sectioning,core observations,fluorescence,scanning electron microscopy,cathodoluminescence,fluid inclusion,laser scanning confocal microscopy and geochemical analysis(C,O isotopes)were all utilized to investigate the reservoir characteristics and origin of the Es_(1)*** section study showed that the reservoir rock consisted of feldspathic litharenite and lithic *** reservoir pores are categorized as intergranular pores,fracture pores,dissolution pores and intergranular cement dissolution *** studied sandstone had good porosity(0.05%–35%)and permeability(0.006–7000 mD).The Es_(1) reservoir is classified as a fractured reservoir,a primary intergranular pore-associated reservoir and a dissolution ***,diagenesis and tectogenesis are the main factors that played important roles in the development of the *** is the foundation and assumption for reservoir development,but the effective reservoir is primarily controlled by primary pores,fractures,lithofacies,tectonic elements and dissolution ***,compaction,fracture filling and cementation were the primary sources of reservoir *** reservoir was progressively formed through the influence of different geological and diagenetic *** present study provides significant information and references for hydrocarbon exploration and development in the Nanpu Sag.

关键词： porosity Eocene sandstone Es1 reservoir Nanpu oil field

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Enhanced Accuracy for Motor Imagery Detection Using Deep Learning for BCI

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Computers, Materials & Continua 2021年第9期68卷 3825-3840页

作者： Ayesha Sarwar kashif Javed muhammad Jawad Khan Saddaf Rubab Oh-Young Song Usman Tariq National University of Sciences and Technology(NUST) Islamabad44000Pakistan Department of Software Sejong UniversitySeoulGwangjin-guKorea College of Computer Engineering and Sciences Prince Sattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia

Brain-Computer Interface(BCI)is a system that provides a link between the brain of humans and the hardware *** recorded brain data is converted directly to the machine that can be used to control external *** are four major components of the BCI system:acquiring signals,preprocessing of acquired signals,features extraction,and *** traditional machine learning algorithms,the accuracy is insignificant and not up to the mark for the classification of multi-class motor imagery *** major reason for this is,features are selected manually,and we are not able to get those features that give higher accuracy *** this study,motor imagery(MI)signals have been classified using different deep learning *** have explored two different methods:Artificial Neural Network(ANN)and Long Short-Term Memory(LSTM).We test the classification accuracy on two datasets:BCI competition III-dataset IIIa and BCI competition IV-dataset *** outcome proved that deep learning algorithms provide greater accuracy results than traditional machine learning *** the deep learning classifiers,LSTM outperforms the ANN and gives higher classification accuracy of 96.2%.

关键词： Brain-computer interface motor imagery artificial neural network long-short term memory classification

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Roadside dust contamination with toxic metals along industrial area in Islamabad, Pakistan

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Nuclear Science and Techniques 2014年第3期25卷 8-13页

作者： Waheed Akram Morgan Madhuku kashif Shahzad Ali Awais Ishfaq Ahmad muhammad Arif Ishaq Ahmad National Center for Physics IslamabadPakistan iThemba LABS Private Bag X11Wits 2050JohannesburgSouth Africa

An investigation has been carried out to understand the contamination characteristics of roadside dust in the industrial area of Islamabad, Pakistan. The amounts of Si, S, Cl, K, Ca, Sc, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Pb,Zn, Ga, As, Se and Cd were determined from 95 roadside dust samples collected along the Islamabad industrial area using Proton Induced X-ray Emission(PIXE). The results indicated that concentrations of all elements,except Cd, in the roadside dust were significant. The results of the enrichment factor show that the elementary composition of the roadside dust could be categorized as soil elements from the crust of the earth and elements from anthropogenic pollution. The high enrichment factors imply that elements such Cr, Cu, Pb, Zn, As, Se,Cd, Ni, Co and S came from anthropogenic activities. The source of metal contamination was identified using multivariate statistical analysis. It has been concluded that Ca, Sc, Ti, V, Mn and Fe mainly originate from crustal sources; Cr, Cu, Ni, Pb, Zn and Ga are associated with point-sources from industrial pollution/traffic;and S, Cl, K, As and Se are mainly related to oil/coal combustion.

关键词：伊斯兰堡灰尘污染巴基斯坦工业区有毒金属土壤元素多元统计分析 X射线发射

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Bug Prioritization Using Average One Dependence Estimator

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Intelligent Automation & Soft Computing 2023年第6期36卷 3517-3533页

作者： kashif Saleem Rashid Naseem Khalil Khan Siraj muhammad Ikram Syed Jaehyuk Choi Department of IT and Computer Science Institute of Applied Sciences and TechnologyPakAustriaFochhshuleHaripurPakistan Faculty of Computer Sciences and Information Technology Superior UniversityLahore54660Pakistan Department of Computer Science Shaheed Benazir Bhutto UniversitySheringalUpper DirKhyber PakhtunkhwaPakitan School of Computing Gachon University1342Seongnam-daeroSujeong-guSeongnam-si13120Korea

Automation software need to be continuously updated by addressing software bugs contained in their ***,bugs have different levels of importance;hence,it is essential to prioritize bug reports based on their sever-ity and *** managing the deluge of incoming bug reports faces time and resource constraints from the development team and delays the resolu-tion of critical ***,bug report prioritization is *** study pro-poses a new model for bug prioritization based on average one dependence estimator;it prioritizes bug reports based on severity,which is determined by the number of *** more the number of attributes,the more the *** proposed model is evaluated using precision,recall,F1-Score,accuracy,G-Measure,and Matthew’s correlation *** of the proposed model are compared with those of the support vector machine(SVM)and Naive Bayes(NB)*** and Mozilla datasetswere used as the sources of bug *** proposed model improved the bug repository management and out-performed the SVM and NB ***,the proposed model used a weaker attribute independence supposition than the former models,thereby improving prediction accuracy with minimal computational cost.

关键词： Bug report triaging prioritization support vector machine Naive Bayes

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The charge state distribution of B, C, Si, Ni, Cu and Au ions on 5 MV pelletron accelerator

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Nuclear Science and Techniques 2017年第5期28卷 43-47页

作者： Ali Awais Javaid Hussain muhammad Usman Waheed Akram kashif Shahzad Turab Ali Ishaq Ahmad Malik Maaza Experimental Physics Laboratories National Centre for Physics Islamabad 44000 Pakistan UNESCO-UNISA Africa Chair in Nanosciences/ Nanotechnology College of Graduate Studies University of South Africa Muckleneuk Ridge PO Box 392 PretoriaSouth Africa Nanosciences African Network (NANOAFNET) iThemba LABS-National Research Foundation 1 Old Faure RoadPO Box 722 Somerset West Western Cape Province 7129South Africa

Stripper gas and terminal potential play a key role for the charge state distribution in a tandem pelletron accelerator. The knowledge of this distribution is important for experiments performed on tandem accelerators. The charge state distribution of B, C, Si, Ni, Cu and Au beams is measured by using Ar as stripper gas, and terminal potential is varied from 0.3 to 3.0 MV on 5UDH-2 tandem pelletron accelerator installed at the National Centre for Physics, Islamabad. The individual charge state is measured after the switching magnet at 15° in high-energy portion. It is observed that the higher charge states are stable in the range of lower and middle atomic masses of periodic table, whereas higher atomic mass(Au) shows beam current instability in higher charge states. For carbon,the charge distribution at 1.7 MV terminal potential by varying stripper gas pressure is also studied, which resulted in decreased overall transmission with good current value for higher charge states.

关键词： Pelletron accelerator Charge state distribution Stripper gas Terminal potential

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Antibacterial Action of Chemically Synthesized and Laser Generated Silver Nanoparticles against Human Pathogenic Bacteria

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Journal of Materials Science & Technology 2016年第8期32卷 721-728页

作者： Nosheen Zafar Shahzadi Shamaila Jawad Nazir Rehana Sharif muhammad Shahid rafique Jalees Ul-Hasan Syeda Ammara Hina Khalid Department of Physics University of Engineering and Technology Lahore 54890 Pakistan Department of Microbiology University of Veterinary and Animal Sciences Lahore Pakistan Department of Physics Forman Christian College A Charted University Lahore Pakistan

Silver nanoparticles in the range of 10-40 nm were synthesized chemically and by laser ablation, em- ployed for in vitro antibacterial action against human pathogenic bacterium. Their formation was evidenced by UV-visible spectrophotometer; particle size confirmed by atomic force microscopy, crystal structure determined by X-ray diffraction and chemical composition investigated by Fourier transform infrared spec- troscopy. The calculated MIC （minimum inhibitory concentration） of chemically synthesized nanoparticles with 30-40 nm in size are 2.8 μg/mL 4.37 μg/mL 13.5μg/mL and 2.81 p.g/mL for E. coil, S. aureus, B. subtillis and Salmonella, respectively. Whereas laser ablated nanoparticles exhibit MIC of 2.10 μg/mL 2.36 μg/ mL and 2.68 μg/mL for E. coli, S. aureus and Salmonella, respectively.

关键词： Chemically synthesized and laser ablated nanoparticles UV-visible spectrophotometer Gram negative and gram positive bacteria

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Performance Analysis of Magnetic Nanoparticles during Targeted Drug Delivery:Application of OHAM

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Computer Modeling in Engineering & Sciences 2022年第2期130卷 723-749页

作者： muhammad Zafar muhammad Saif Ullah Tareq Manzoor Muddassir Ali kashif Nazar Shaukat Iqbal HabibUllah Manzoor Rizwan Haider Woo Young Kim Institute of Energy and Environmental Engineering University of the PunjabQuaid-e-Azam CampusLahore54590Pakistan Energy Research Centre COMSATS University IslamabadLahore54000Pakistan Department of Energy Engineering Faculty of Mechanical and Aeronautical EngineeringUniversity of Engineering and TechnologyTaxila47080Pakistan Department of Mathematics COMSATS University IslamabadLahore54000Pakistan School of Systems and Technology University of Management Sciences and TechnologyLahore54770Pakistan Department of Electrical Electronics and TelecommunicationEngineeringUniversity of Engineering and TechnologyLahore(FSD Campus)Faisalabad38000Pakistan Department of Electronic Engineering Faculty of Applied Energy SystemJeju National UniversityJeju Special Self-Governing ProvinceJeju-si63243Korea

In recent years,the emergence of nanotechnology experienced incredible development in the field of medical *** the past decade,investigating the characteristics of nanoparticles during fluid flow has been one of the intriguing *** distribution and uniformity have emerged as substantial criteria in both medical and engineering *** effects of chemotherapy on healthy tissues are known to be a significant concern during cancer therapy.A novel treatment method of magnetic drug targeting(MDT)has emerged as a promising topical cancer treatment along with some attractive advantages of improving efficacy,fewer side effects,and reduce drug *** magnetic drug targeting,the appropriate movement of nanoparticles(magnetic)as carriers is essential for the therapeutic process in the blood clot removal,infection treatment,and tumor cell *** this study,we have numerically investigated the behavior of an unsteady blood flowinfused with magnetic nanoparticles during MDT under the influence of a uniform external magnetic field in a *** optimal homotopy asymptotic method(OHAM)is employed to compute the governing equation for unsteady electromagnetohydrodynamics *** influence of Hartmann number(Ha),particle mass parameter(G),particle concentration parameter(R),and electro-osmotic parameter(k)is investigated on the velocity of magnetic nanoparticles and blood *** obtained show that the electro-osmotic parameter,along with Hartmann’s number,dramatically affects the velocity of magnetic nanoparticles,blood flow velocity,and flow ***,results also reveal that at a higher Hartman number,homogeneity in nanoparticles distribution improved *** particle concentration andmass parameters effectively influence the capturing effect on nanoparticles in the blood flow using a micro-tube for magnetic drug ***,investigation also indicates that the OHAM analysis is efficient and quick to h

关键词： Hartmann number magnetic nanoparticles nonlinear analysis targeted drug delivery optimal homotopy asymptotic method(OHAM)

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Lightweight Key Management Scheme Using Fuzzy Extractor for Wireless Mobile Sensor Network

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Computers, Materials & Continua 2022年第4期71卷 1695-1712页

作者： Eid Rehman Ibrahima Kalil Toure kashif Sultan muhammad Asif muhammad Habib Najam Ul Hasan Oh-Young Song Aaqif Afzaal Abbasi Department of Software Engineering Foundation UniversityIslamabad44000Pakistan Centre Informatique Universite Gamal Abdel Nasser deConakryGuinea Department of Software Engineering Bahria University Islamabad CampusIslamabadPakistan GDC Ahmad Karak Higher Education DepartmentKhyber PakhtunkhwaPakistan Department of Electrical and Computer Engineering Dhofar UniversitySalalahOman Department of Software Sejong UniversitySeoul05006Korea

The mature design of wireless mobile sensor network makes it to be used in vast verities of applications including from home used to the security *** such types of applications based on wireless mobile sensor network are generally using real time data,most of them are interested in real time communication directly from cluster head of cluster instead of a base station in cluster *** would be possible if an external user allows to directly access real time data from the cluster head in cluster wireless mobile sensor network instead of accessing data from base *** this leads to a serious security breach and degrades the performance of any security protocol available in this *** existing schemes for authentication and cluster key management for external users,exchange a number of messages between cluster head and base station to allow external to access real time data from the base station instead of cluster *** increase communication cost and delay in such real time access *** handle this critical issue in cluster wireless mobile sensor network,we propose a lightweight authentication and key management scheme using a fuzzy *** this scheme,any external user can access data directly from the cluster head of any cluster without the involvement of the base *** proposed scheme only uses the one-way hash functions and bitwise XOR operations,apart from the fuzzy extractor method for the user biometric verification at the login *** presented scheme supports scalability for an increasing number of nodes using *** proposed scheme increases the life-time of the network by decreasing the key pool size.

关键词： Fuzzy extractor user authentication key management cluster session key wireless mobile sensor network

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Classification of Electrocardiogram Signals for Arrhythmia Detection Using Convolutional Neural Network

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Computers, Materials & Continua 2023年第12期77卷 3817-3834页

作者： muhammad Aleem Raza muhammad Anwar kashif Nisar Ag.Asri Ag.Ibrahim Usman Ahmed Raza Sadiq Ali Khan Fahad Ahmad Department of Computer Science and IT Lahore Lead UniversityLahore54000Pakistan Department of Information Sciences Division of Science and TechnologyUniversity of EducationLahore54000Pakistan Faculty of Computing and Informatics University Malaysia SabahJalan UMSKota KinabaluSabah88400Malaysia Computer Science Department UBIT Karachi UniversityKarachi75270Pakistan Department of Basic Sciences Deanship of Common First YearJouf UniversitySakakaAljouf72341Saudi Arabia

With the help of computer-aided diagnostic systems,cardiovascular diseases can be identified timely manner to minimize the mortality rate of patients suffering from cardiac ***,the early diagnosis of cardiac arrhythmia is one of the most challenging *** manual analysis of electrocardiogram(ECG)data with the help of the Holter monitor is ***,the Convolutional Neural Network(CNN)is receiving considerable attention from researchers for automatically identifying ECG *** paper proposes a 9-layer-based CNN model to classify the ECG signals into five primary categories according to the American National Standards Institute(ANSI)standards and the Association for the Advancement of Medical Instruments(AAMI).The Massachusetts Institute of Technology-Beth Israel Hospital(MIT-BIH)arrhythmia dataset is used for the *** proposed model outperformed the previous model in terms of accuracy and achieved a sensitivity of 99.0%and a positivity predictively 99.2%in the detection of a Ventricular Ectopic Beat(VEB).Moreover,it also gained a sensitivity of 99.0%and positivity predictively of 99.2%for the detection of a supraventricular ectopic beat(SVEB).The overall accuracy of the proposed model is 99.68%.

关键词： Arrhythmia ECG signal deep learning convolutional neural network physioNet MIT-BIH arrhythmia database

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