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Electronic and thermoelectric properties of YbMg_(2)X_(2)(X=P,As,Sb,Bi)zintl compounds by first-principles method

Journal of Rare Earths 2024年第1期42卷 147-154,I0006页

作者： Sajid Khan Dil Faraz Khan R.Neffati Tariq Usman muhammad waqar ahsraf Shamim Khan Saeed Ullah Jan G.Murtaza Department of Physics University of Science&Technology BannuBannu28100Pakistan Department of Physics Faculty of ScienceKing Khalid UniversityP.O.Box 9004AbhaSaudi Arabia Laboratoire de Physique de La Matiere Condensee Departement de PhysiqueFaculte des Sciences de TunisUniversite Tunis El ManarCampus Universitaire1060TunisTunisia Department of Physics Shaoxing UniversityShaoxing312000China Department of Mathematics&Natural Sciences Prince Mohammad Bin Fahd UniversityAlkhobar31952Saudi Arabia Materials Modeling Lab Department of PhysicsIslamia College Peshawar25120KhyberPakhtunkhwaPakistan

In this work the structural,electronic and thermoelectric properties of YbMg_(2)X_(2)(X=P,As,Sb,Bi)zintl compounds were investigated comprehensively using first principles *** electronic properties were studied using PBE GGA,TB-mBJ and hybrid(YS-PBE0)*** the structural parameters of optimized structures are in harmonious agreement to the available *** band structure study illustrates that the titled materials manifest metallic and semi metallic nature using PBE and TB-mBJ potentials while they show wide band gap semiconducting behavior by following hybrid(YS-PBE0)*** density of states(TDOS)and partial density of states(PDOS)were also calculated to glimpse the contribution of orbitals of atoms in the formation of *** properties were studied by using BoltzTraP2 code employed to *** get enormous values of Seebeck coefficient(S),power factor(PF)and thermoelectric figure of merit(ZT)for all the samples YbMg_(2)X_(2)(X=P,As,Sb,Bi),Moreover,the overwhelming transport properties for the titled compounds indicate the optimum level of carriers’concentration which pinpoints these materials to be better thermoelectrics in the 1-2-2 zintl family.

关键词： Zintl compounds Hybrid functional Band structure Thermoelectrics Rare earths

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Experimental Study on Heat Storage Properties Comparison of Paraffin/Metal Foams Phase Change Material Composites

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Journal of Thermal Science 2024年第2期33卷 469-478页

作者： waqar AHMED Abid HUSSAIN Hanzla SHAHID Imran ALI Hafiz muhammad ALI Department of Mechanical Engineering University of Engineering and TechnologyTaxila47080Pakistan Department of Mechanical Engineering Institute of Space TechnologyIslamabadPakistan Department of Mechanical Mechatronics and Manufacturing EngineeringUniversity of Engineering and Technology LahoreFaisalabad CampusPunjabPakistan Mechanical Engineering Department King Fahd University of Petroleum and MineralsDhahran31261Saudi Arabia Interdisciplinary Research Center for Renewable Energy and Power Systems(IRC-REPS) King Fahd University of Petroleum and MineralsDhahran31261Saudi Arabia

Heat storage properties of phase change materials(PCMs) are essential characteristics that perform a key role in thermal heat energy storage *** thermal properties of PCMs can be improved by developing metal foam/PCM *** addition of metal foam in PCMs has a significant effect on the thermal characteristics of *** this paper,the heat storage properties of two different metal foam/PCM composites were experimentally *** behavior of paraffin in metal foam(copper and iron-nickel)/paraffin composites concerning pure paraffin at a constant heat flux of 1000 W/m^(2) in three directions simultaneously(x,y,and z) was *** was infiltrated into copper and iron-nickel foams to develop composite materials which resulted in enhancing the thermal conductivity of the paraffin.A comparative analysis is made on the heat storage properties of paraffin in copper and iron-nickel foams/paraffin *** temperature distribution during the phase transition process is experimentally *** comparison indicates that temperature uniformity in copper foam/paraffin composite is better than in iron-nickel foam/paraffin composite and pure paraffin at the same heat *** results show that at heat flux of 1000 W/m^(2),the heat storage time for copper foam/paraffin composite is 20.63% of that of iron-nickel foam/paraffin composite.

关键词： heat storage capacity paraffin/metal foam composite temperature uniformity heat storage rate phase transition process

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Soil erosion susceptibility mapping of Hangu Region,Kohat Plateau of Pakistan using GIS and RS-based models

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Journal of Mountain Science 2024年第8期21卷 2547-2561页

作者： Fakhrul ISLAM Liaqat Ali WASEEM Tehmina BIBI waqar AHMAD muhammad SADIQ Matee ULLAH Walid SOUFAN Aqil TARIQ Department of Geology Khushal Khan Khattak UniversityKarak 27200Pakistan Department of Geography Government College University FaisalabadPunjab 38000Pakistan Institute of Geology The University of Azad Jammu&KashmirMuzaffarabad 13100Pakistan Department of Earth Sciences Changan UniversityXi’an 710003China NCEG University of PeshawarPeshawar 25120Pakistan Faculty of Earth Sciences Geography and AstronomyUniversity of ViennaVienna 1090Austria Plant Production Department College of Food and Agriculture SciencesKing Saud UniversityRiyadh 11451Saudi Arabia Department of Wildlife Fisheries and AquacultureCollege of Forest ResourcesMississippi State UniversityMS 39762USA

Soil erosion is a crucial geo-environmental hazard worldwide that affects water quality and agriculture,decreases reservoir storage capacity due to sedimentation,and increases the danger of flooding and ***,this study uses geospatial modeling to produce soil erosion susceptibility maps(SESM)for the Hangu region,Khyber Pakhtunkhwa(KPK),*** Hangu region,located in the Kohat Plateau of KPK,Pakistan,is particularly susceptible to soil erosion due to its unique geomorphological and climatic ***,the Hangu region is characterized by a combination of steep slopes,variable rainfall patterns,diverse land use,and distinct soil types,all of which contribute to the complexity and severity of soil erosion *** factors necessitate a detailed and region-specific study to develop effective soil conservation *** this research,we detected and mapped 1013 soil erosion points and prepared 12 predisposing factors(elevation,aspect,slope,Normalized Differentiate Vegetation Index(NDVI),drainage network,curvature,Land Use Land Cover(LULC),rainfall,lithology,contour,soil texture,and road network)of soil erosion using GIS ***,GIS-based statistical models like the weight of evidence(WOE)and frequency ratio(FR)were applied to produce the SESM for the study *** SESM was reclassified into four classes,i.e.,low,medium,high,and very high *** results of WOE for SESM show that 16.39%,33.02%,29.27%,and 21.30%of areas are covered by low,medium,high,and very high zones,*** contrast,the FR results revealed that 16.50%,24.33%,35.55%,and 23.59%of the areas are occupied by low,medium,high,and very high ***,the reliability of applied models was evaluated using the Area Under Curve(AUC)*** validation results utilizing the area under curve showed that the success rate curve(SRC)and predicted rate curve(PRC)for WOE are 82%and 86%,respectively,while SRC and PRC for FR are 85%and 96%,res

关键词： Soil erosion Geospatial technology Statistical models Hangu Pakistan

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A Double-Branch Xception Architecture for Acute Hemorrhage Detection and Subtype Classification

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Computers, Materials & Continua 2023年第9期76卷 3727-3744页

作者： muhammad Naeem Akram muhammad Usman Yaseen muhammad waqar muhammad Imran Aftab Hussain Department of Computer Science COMSATS University IslamabadIslamabad45550Pakistan Department of Software Engineering Capital University of Science&TechnologyIslamabad44000Pakistan

This study presents a deep learning model for efficient intracranial hemorrhage(ICH)detection and subtype classification on non-contrast head computed tomography(CT)*** refers to bleeding in the skull,leading to the most critical life-threatening health condition requiring rapid and accurate *** is classified as intra-axial hemorrhage(intraventricular,intraparenchymal)and extra-axial hemorrhage(subdural,epidural,subarachnoid)based on the bleeding location inside the *** computer-aided diagnoses(CAD)-based schemes have been proposed for ICH detection and classification at both slice and scan ***,these approaches performonly binary classification and suffer from a large number of parameters,which increase storage ***,the accuracy of brain hemorrhage detection in existing models is significantly low for medically critical *** overcome these problems,a fast and efficient system for the automatic detection of ICH is *** designed a double-branch model based on xception architecture that extracts spatial and instant features,concatenates them,and creates the 3D spatial context(common feature vectors)fed to a decision tree classifier for final *** data employed for the experimentation was gathered during the 2019 Radiologist Society of North America(RSNA)brain hemorrhage detection *** model outperformed benchmark models and achieved better accuracy in intraventricular(99.49%),subarachnoid(99.49%),intraparenchymal(99.10%),and subdural(98.09%)categories,thereby justifying the performance of the proposed double-branch xception architecture for ICH detection and classification.

关键词： Computed tomography convolutional neural networks intracranial hemorrhage xception architecture

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Increasing Crop Quality and Yield with a Machine Learning-Based Crop Monitoring System

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Computers, Materials & Continua 2023年第8期76卷 2401-2426页

作者： Anas Bilal Xiaowen Liu Haixia Long muhammad Shafiq muhammad waqar College of Information Science Technology Hainan Normal UniversityHaikou571158China School of Information Engineering Qujing Normal UniversityQujing655011China Department of Computer Science COMSATS UniversityIslamabad45550Pakistan

Farming is cultivating the soil,producing crops,and keeping *** agricultural sector plays a crucial role in a country’s economic *** research proposes a two-stage machine learning framework for agriculture to improve efficiency and increase crop *** the first stage,machine learning algorithms generate data for extensive and far-flung agricultural areas and forecast *** recommended crops are based on various factors such as weather conditions,soil analysis,and the amount of fertilizers and pesticides *** the second stage,a transfer learningbased model for plant seedlings,pests,and plant leaf disease datasets is used to detect weeds,pesticides,and diseases in the *** proposed model achieved an average accuracy of 95%,97%,and 98% in plant seedlings,pests,and plant leaf disease detection,*** system can help farmers pinpoint the precise measures required at the right time to increase yields.

关键词： Machine learning computer vision trends in smart farming precision agriculture Agriculture 4.0

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Malware Detection in Android IoT Systems Using Deep Learning

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Computers, Materials & Continua 2023年第2期74卷 4399-4415页

作者： muhammad waqar Sabeeh Fareed Ajung Kim Saif Ur Rehman Malik muhammad Imran muhammad Usman Yaseen Department of Computer Science COMSATS UniversityIslamabad45550Pakistan Department of Optical Engineering Sejong UniversitySeoul143747Korea Cybernetica AS Tallinn12618Estonia

The Android Operating System(AOS)has been evolving since its inception and it has become one of the most widely used operating system for the Internet of Things(IoT).Due to the high popularity and reliability ofAOS for IoT,it is a target of many cyber-attacks which can cause compromise of privacy,financial loss,data integrity,unauthorized access,denial of services and so *** Android-based IoT(AIoT)devices are extremely vulnerable to various malwares due to the open nature and high acceptance of Android in the ***,several detection preventive malwares are developed to conceal their malicious activities from analysis ***,conventional malware detection techniques could not be applied and innovative countermeasures against such anti-detection malwares are indispensable to secure the *** this paper,we proposed the novel deep learning-based real-time multiclass malware detection techniques for the AIoT using dynamic *** results show that the proposed technique outperforms existing malware detection techniques and achieves detection accuracy up to 99.87%.

关键词： Android cyber security deep learning internet of things malware detection

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Hyperchaos and MD5 Based Efficient Color Image Cipher

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Computers, Materials & Continua 2022年第7期72卷 1645-1670页

作者： muhammad Samiullah waqar Aslam Saima Sadiq Arif Mehmood Gyu Sang Choi Department of Computer Science&IT The Islamia University of BahawalpurBahawalpur63100Pakistan Department of Computer Science Khwaja Fareed University of Engineering and Information TechnologyRahim Yar Khan64200Pakistan Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

While designing and developing encryption algorithms for text and images,the main focus has remained on *** has led to insufficient attention on the improvement of encryption efficiency,enhancement of hyperchaotic sequence randomness,and dynamic DNA-based *** this regard,a new symmetric block cipher scheme has been *** uses dynamic DNA-based S-box connected with MD5 and a hyperchaotic system to produce confusion and diffusion for encrypting color *** proposed scheme supports various size color *** generates three DNA based Sboxes for substitution namely DNA_1_s-box,DNA_2_s-box and DNA_3_sbox,each of size 16×***,the 4D hyperchaotic system followed by MD5 is employed in a novel way to enhance *** three DNAbased S-boxes are generated from real DNA sequences taken from National Center for Biotechnology Information(NCBI)databases and are dependent on the mean intensity value of an input image,thus effectively introducing content-based ***,Conservative Site-Specific Recombination(CSSR)is applied on the output DNA received from DNA based *** experimental results indicate that the proposed encryption scheme is more secure,robust,and computationally efficient than some of the recently published similar *** computational efficient,our proposed scheme is feasible on many emergent resource-constrained platforms.

关键词： Block cipher substitution permutation diffusion confusion

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Chaos-Based Cryptographic Mechanism for Smart Healthcare IoT Systems

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Computers, Materials & Continua 2022年第4期71卷 753-769页

作者： muhammad Samiullah waqar Aslam Arif Mehmood muhammad Saeed Ahmad Shafiq Ahmad Adel M.Al-Shayea muhammad Shafiq Department of Computer Science&IT The Islamia University of BahawalpurBahawalpur63100Pakistan Department of Computer Science&IT Government Sadiq College Women UniversityBahawalpurPakistan Industrial Engineering Department College of EngineeringKing Saud UniversityP.O.Box 800Riyadh11421Saudi Arabia Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

Smart and interconnected devices can generate meaningful patient data and exchange it automatically without any human intervention in order to realize the Internet of Things(IoT)in healthcare(HIoT).Due to more and more online security and data hijacking attacks,the confidentiality,integrity and availability of data are considered serious issues in HIoT *** this regard,lightweight block ciphers(LBCs)are promising in resourceconstrained environment where security is the primary *** prevalent challenge while designing an LBC for the HIoT environment is how to ascertain platform performance,cost,and *** of the existing LBCs primarily focus on text data or grayscale *** main focus of this paper is about securing color images in a cost-effective *** emphasis high confidentiality of color images captured by cameras in resource-constrained smartphones,and high confidentiality of sensitive images transmitted by low-power sensors in IoT *** order to reduce computational complexity and simulation time,the proposed Lightweight Symmetric Block Cipher(LSBC)exploits chaos-based confusion-diffusion operations at the inter-block level using a single *** strength of LSBC is assessed by cryptanalysis,while it is ranked by comparing it to other privacy-preserving *** results show that the proposed cipher produces promising results in terms of key sensitivity and differential attacks,which proves that our LSBC is a good candidate for image security in HIoT.

关键词： IoT healthcare lightweight block cipher symmetric block cipher

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Fault Tolerant Optical Mark Recognition

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Computers, Materials & Continua 2023年第2期74卷 3829-3847页

作者： Qamar Hafeez waqar Aslam M.Ikramullah Lali Shafiq Ahmad Mejdal Alqahtani muhammad Shafiq Department of Computer Science&IT The Islamia University of Bahawalpur63100Pakistan Department of Information Sciences The University of EducationLahore54770Pakistan Industrial Engineering Department College of EngineeringKing Saud UniversityP.O.Box 800Riyadh11421Saudi Arabia Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

OpticalMark Recognition(OMR)systems have been studied since *** is widely accepted as a data entry *** technology is used for surveys and multiple-choice *** to its ease of use,OMR technology has grown in popularity over the past two decades and is widely used in universities and colleges to automatically grade and grade student responses to *** accuracy of OMR systems is very important due to the environment inwhich they are *** relies on pixel projection or Hough transform to determine the exact answer in the *** techniques rely on majority voting to approximate a predetermined *** performance of these systems depends on precise input from dedicated *** and scanning OMR tables introduces artifacts that make table processing *** observation is a fundamental limitation of traditional pixel projection and Hough transform *** on the type of artifact introduced,accuracy is affected *** classified the types of errors and their frequency according to the artifacts in the OMR *** a major contribution,we propose an improved algorithm that fixes errors due to *** proposal is based on the Hough transform for improving the accuracy of bias correction mechanisms in OMR *** a minor contribution,our proposal also improves the accuracy of detecting markers in OMR *** results show an improvement in accuracy over existing algorithms in each of the identified *** improvement increases confidence in OMR document processing and increases efficiency when using automated OMR document processing.

关键词： Optical mark recognition fault recognition marking system

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Adaptive Multi-Cost Routing Protocol to Enhance Lifetime for Wireless Body Area Network

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Computers, Materials & Continua 2022年第7期72卷 1089-1103页

作者： muhammad Mateen Yaqoob waqar Khurshid Leo Liu Syed Zulqarnain Arif Imran Ali Khan Osman Khalid Raheel Nawaz Department of Computer Science COMSATS University IslamabadAbbottabad Campus22060Pakistan Department of OTEHM Manchester Metropolitan UniversityManchesterUK

Wireless Body Area Network(WBAN)technologies are emerging with extensive applications in several *** is a fascinating domain of WBAN for smart monitoring of a patient’s *** important factor to consider in WBAN is a node’s *** the lifetime of nodes is critical to address many issues,such as utility and *** routing protocols have addressed the energy conservation problem but considered only a few parameters,thus affecting their ***,most of the existing schemes did not consider traffic prioritization which is critical in *** this paper,an adaptive multi-cost routing protocol is proposed with a multi-objective cost function considering minimum distance from sink,temperature of sensor nodes,priority of sensed data,and maximum residual energy on sensor *** performance of the proposed protocol is compared with the existing schemes for the parameters:network lifetime,stability period,throughput,energy consumption,and path *** is evident from the obtained results that the proposed protocol improves network lifetime and stability period by 30%and 15%,respectively,as well as outperforms the existing protocols in terms of throughput,energy consumption,and path loss.

关键词： Multi-cost routing protocol network lifetime wireless body area network adaptive routing residual energy clustering poisson distribution

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