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Enhancing Security and Privacy in Distributed Face Recognition Systems through Blockchain and GAN Technologies

Computers, Materials & Continua 2024年第5期79卷 2609-2623页

作者： muhammad Ahmad Nawaz Ul ghani Kun She muhammad Arslan Rauf Shumaila Khan Javed Ali Khan Eman Abdullah Aldakheel Doaa Sami Khafaga School of Information and Software Engineering University of Electronic Science and Technology of ChinaChengdu611731China Department of Computer Science University of Science&TechnologyBannu28100Pakistan Department of Computer Science University of HertfordshireHatfieldAL109ABUK Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia

The use of privacy-enhanced facial recognition has increased in response to growing concerns about data securityand privacy in the digital age. This trend is spurred by rising demand for face recognition technology in a varietyof industries, including access control, law enforcement, surveillance, and internet communication. However,the growing usage of face recognition technology has created serious concerns about data monitoring and userprivacy preferences, especially in context-aware systems. In response to these problems, this study provides a novelframework that integrates sophisticated approaches such as Generative Adversarial Networks (GANs), Blockchain,and distributed computing to solve privacy concerns while maintaining exact face recognition. The framework’spainstaking design and execution strive to strike a compromise between precise face recognition and protectingpersonal data integrity in an increasingly interconnected environment. Using cutting-edge tools like Dlib for faceanalysis,Ray Cluster for distributed computing, and Blockchain for decentralized identity verification, the proposedsystem provides scalable and secure facial analysis while protecting user privacy. The study’s contributions includethe creation of a sustainable and scalable solution for privacy-aware face recognition, the implementation of flexibleprivacy computing approaches based on Blockchain networks, and the demonstration of higher performanceover previous methods. Specifically, the proposed StyleGAN model has an outstanding accuracy rate of 93.84%while processing high-resolution images from the CelebA-HQ dataset, beating other evaluated models such asProgressive GAN 90.27%, CycleGAN 89.80%, and MGAN 80.80%. With improvements in accuracy, speed, andprivacy protection, the framework has great promise for practical use in a variety of fields that need face recognitiontechnology. This study paves the way for future research in privacy-enhanced face recognition systems, emphasizingthe significance of using cutting-edge technology

关键词： Facial recognition privacy protection blockchain GAN distributed systems

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Identification of the HAK gene family reveals their critical response to potassium regulation during adventitious root formation in apple rootstock

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Horticultural Plant Journal 2023年第1期9卷 45-59页

作者： muhammad Mobeen Tahir Lu Tong Lingling Xie Tong Wu muhammad imran ghani Xiaoyun Zhang Shaohuan Li Xiuhua Gao Leeza Tariq Dong Zhang Yun Shao Yangling Sub-Center of National Center for Apple Improvement College of HorticultureNorthwest Agriculture&Forestry UniversityYanglingShaan 712100China The Key Laboratory of Special Fruits and Vegetables Cultivation Physiology and Germplasm Resources Utilization in Xinjiang Production and Construction Group College of AgricultureShihezi UniversityShiheziXinjiang 832003China Centre of Excellence in Molecular Biology University of the PunjabLahore 53700Pakistan

Adventitious root formation is a bottleneck during vegetative proliferation.Potassium(K^(+))is an essential macronutrient for plants.K^(+)accumulation from the soil and its distribution to the different plant organs is mediated by K^(+)transporters named K^(+)transporter(KT),K^(+)uptake(KUP),or high-affinity K^(+)(HAK).This study aimed to identify members of the HAK gene family in apples and to characterize the effects of K^(+)supply on adventitious root formation and on the expression of HAK genes and the genes that putatively control auxin transport,signaling,and cell fate during adventitious root formation.In this study,34 HAK genes(MdHAKs)were identified in the apple(Malus×domestica‘Golden Delicious’)genome.A phylogenetic analysis divided MdHAKs into four clusters(Ⅰ,Ⅱ,Ⅲ,andⅣ),comprising 16,1,4,and 13 genes,respectively.The syntenic relationships revealed that 62.5%of the total MdHAK genes arise from genomic duplication events.Chromosome location,domain structure,motif analysis,and physico-chemical characteristics were subsequently investigated.Furthermore,the application of K^(+)indicated the emergence of adventitious roots at 8 d and produced more adventitious roots at 16 d than the K^(+)-free control(CK)treatment.In addition,various MdHAKs showed root-specific expression in B9 apple rootstock stem cuttings and enhanced expression during the initiation and emergence stages of adventitious root formation in response to K^(+)treatment.Additionally,K^(+)treatment enhanced the expression levels of MdPIN1,MdPIN2,and MdAUX1.Further data indicated that a higher expression of MdWOX11,MdLBD16,and MdLBD29 and of cell cycle-related genes contributed to the auxin-stimulated adventitious root formation in response to K^(+).

关键词： Apple rootstock Adventitious root Formation Potassium(K+) HAK transporter

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Mn-based MXene with high lithium-ion storage capacity

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Nano Research 2024年第5期17卷 4181-4191页

作者： Yanyan Wu Dongqing Liu Xiaonan Wang Usman ghani muhammad Asim Mushtaq Jinfeng Yang Huarui Sun Panagiotis Tsiakaras Xingke Cai School of Science and Ministry of Industry and Information Technology Key Laboratory of Micro-Nano Optoelectronic Information System Harbin Institute of Technology ShenzhenShenzhen 5180552 China Collaborative Innovation Center of Extreme Optics Shanxi UniversityTaiyuan 030006China Institute for Advanced Study Shenzhen UniversityShenzhen 518060China College of Mechatronics and Control Engineering Shenzhen UniversityShenzhen 518060China Laboratory of Alternative Energy Conversion Systems Department of Mechanical EngineeringSchool of EngineeringUniversity of ThessalyPedion Areos 38834Greece

3d-transition metal(Fe,Co,Ni,and Mn)-based MXene materials have been predicted to demonstrate exceptional electrochemical performance because of their good electrical conductivity and the presence of metallic atoms with multiple charge states.However,until now,there have been no reports on MXenes based on Fe,Co,Ni,and Mn,due to the lack of 3d-metal-layered precursors.Herein,we successfully synthesized the first 3d-transition metal-based MXenes,Mn_(2)CT_(x) by exfoliating a layered precursor derived from the anti-perovskite bulk Mn3GaC.The as-prepared Mn_(2)CT_(x) MXene nanosheets were employed as anode materials in lithium-ion batteries,which exhibited stable storage capacity of 764.7 mAh·g^(-1) at 0.5 C,placing its storage capacities at an upper-middle level compared with other reported MXene materials as well as other Mn-based anode materials.Overall,this study opens a new avenue for MXene research by synthesizing 3d-transition metal-based MXenes for electrochemical applications.

关键词： Mn_(3)GaC Mn_(2)CT_(x) MXenes lithium-ion battery anode materials negative fading capacity

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Variations of soil organic carbon fractions in response to conservative vegetation successions on the Loess Plateau of China

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International Soil and Water Conservation Research 2023年第3期11卷 561-571页

作者： muhammad imran ghani Jing Wang Peng Li Shamina imran Pathan Tanveer Ali Sial Rahul Datta Ali Mokhtar Esmat F.Ali Jörg Rinklebe Sabry MShaheen Mengyun Liu Hamada Abdelrahman College of Natural Resources and Environment Northwest A&F UniversityYangling Shaanxi712100China Scientific Laboratory of Heyang Agricultural Environment and Farmland Cultivation Ministry of Agriculture and Rural AffairsNorthwest A&F UniversityHeyang Shaanxi714000China Dipartimento di Scienze e Tecnologie Agrarie AlimentariAmbientali e ForestaliUniversita degli Studi di FirenzePiazzale delle Cascine 2850144FlorenceItaly Department of Soil Science Sindh Agriculture University TandojamSindh70060Pakistan Department of Geology and Pedology Faculty of Forestry and Wood TechnologyMendel University in BrnoZemedelska 361300BrnoCzech Republic Cairo University Faculty of AgricultureDepartment of Agricultural EngineeringGizaEgypt Department of Biology College of ScienceTaif UniversityP.O.Box 11099Taif21944Saudi Arabia University of Wuppertal School of Architecture and Civil EngineeringInstitute of Foundation EngineeringWater-and Waste-ManagementLaboratory of Soil-and Groundwater-ManagementPauluskirchstraβe 742285WuppertalGermany International Research Centre of Nanotechnology for Himalayan Sustainability(IRCNHS) Shoolini UniversitySolan173212 Himachal PradeshIndia King Abdulaziz University Faculty of MeteorologyEnvironmentand Arid Land AgricultureDepartment of Arid Land Agriculture21589JeddahSaudi Arabia University of Kafrelsheikh Faculty of AgricultureDepartment of Soil and Water Sciences33516Kafr El-SheikhEgypt Cairo University Faculty of AgricultureSoil Science DepartmentGiza12613Egypt

Land use changes profoundly affect the equilibrium of soil organic carbon(soC)sequestration and greenhouse gas emissions.With the current global climatic changes,it is vital to understand the influence of ecological restoration and conservation management on the dynamics of soC under different land uses,especially in erosion-endangered Loess soils.Therefore,we investigated changes in soc through a suit of labile fractions,namely:light fraction organic C(LFOC),heavy fraction organic C(HFOC),coarse particulate organic C(CPOC),fine particulate organic C(FPOC),and dissolved organic C(DOC),from two forests i.e.,Robinia pseudoacacia(RP)and Platycladus orientalis(PO),with different ages,in comparison with farmland(FL).The SOC and STN contents significantly increased over 42 years in the RP forest where the contents of CPOC and FPOC were significantly higher than in the FL.Moreover,total SOC and its labile fractions,in the studied land use types,significantly correlated with soil CacO3,pH,and STN contents,indicating their key roles in SoC sequestration.The results reported here from different vegetation with different ages provide a better understanding of sOC and STN alterations at different stages of vegetation restoration.Our findings suggest that long-term natural vegetation restoration could be an effective approach for SoC sequestration and soil conservation on the Loess soil.

关键词： Vegetation restoration Organic carboncontent Labile organic carbon Carbonate Soil conservation

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Foliar spraying of aqueous garlic bulb extract stimulates growth and antioxidant enzyme activity in eggplant(Solanum melongena L.)

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Journal of Integrative Agriculture 2019年第5期18卷 1001-1013页

作者： muhammad Ali CHENG Zhi-hui Sikandar Hayat Husain Ahmad muhammad imran ghani LIU Tao Department of Vegetable Sciences College of HorticultureNorthwest A&F University

Recently,botanical extracts are gaining popularity as biostimulants in vegetable production.In present study,the effect of aqueous garlic bulb extract(AGE)was studied on the growth and physiology of eggplant grown in plastic tunnel.AGE was foliage sprayed with various frequencies,i.e.,0,S1(once),S2(twice)and S3(three times)at two independent growth stages,pre-and post-transplant.The results showed that the treated plants exhibited stimulatory responses in growth and physiology in accord with the repetition of AGE spray and growth stages of the plants,respectively.A single foliage sprayed pre-transplant resulted in improved growth,i.e.,plant morphology and biomass,and enhanced antioxidants enzymes(superoxide dismutase,SOD;peroxidase,POD),photosynthesis and chlorophyll abundance observed at vegetative,first flowering and fruit setting stages,respectively.However,thrice application inhibited the plant growth and development and resulted in lipid peroxidation,i.e.,increased malondialdehyde(MDA)content.In addition,the post-transplant application also showed growth stimulation and interestingly,an overall positive influence was observed with respect to the AGE application and no significant increase in the MDA content indicated the post-transplant seedlings responded well.Our findings demonstrate that AGE can act as a biostimulant to enhance the eggplant growth in plastic tunnel production.

关键词： aqueous garlic bulb extract biostimulants plant growth malondialdehyde Solanum melongena L.

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Partial Fusion (F) Gene Analysis of Newcastle Disease Virus Detected in Pakistan during 2021-2022

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Journal of Biosciences and Medicines 2024年第5期12卷 256-275页

作者： muhammad Danish Mehmood Huma Anwar Ul-Haq Rauf Khalid Yasir Amin muhammad Usman ghani muhammad Ismail Rabia Habib Fareeha Arshed Abdul Rasheed Shaukat Institute of Molecular Biology & Biotechnology University of Lahore Lahore Pakistan Research & Development Division Ottoman Pharma Lahore Pakistan Quality Assurance Department Ottoman Pharma Lahore Pakistan Veterinary Research and Disease Investigation Center Abbottabad Pakistan Quality Control Department Ottoman Pharma Immuno Lahore Pakistan Production Department Ottoman Pharma Lahore Pakistan Poultry Production Department Sabir&#8217s Poultry Pvt. Ltd. Sabroso Pakistan

Newcastle disease (ND) virus is a leading threat to commercial and domestic poultry in Pakistan. The virus infects and constitutes irreversible impairment to the nervous system, damages the respiratory system, and marks severe gastrointestinal lesions leading to heavy mortality in short-living birds and substantial losses in layers and breeders. The continuous emergence and evolution of the virus made it inclined to evade the humoral response and indirectly the circumvention of artificial active immunization. Newcastle disease is caused by the orthoavula genus of the paramyxoviridae family and has shown high genetic diversity even in their genotypes while information regarding enzootic trends of the virus is scanty in Pakistan. A total of 40 tracheal samples of NDV were collected from different commercial broiler farms and 11 isolates of NDV were identified. In the current study, we determined the genetic diversity of the Newcastle disease virus based on the partial sequencing of the fusion protein gene available in the NCBI database. Genetic analysis showed that seven isolates belonged to class I genotype VII and four belonged to class II genotype II. Interestingly, two isolates had epidemiological connections with vaccine-like class II genotype II. Our findings, concerning the recent outbreaks of class I genotype VII and class II genotype II of NDV in vaccinated commercial flocks, suggest possible potential partial mutations in the fusion protein gene. Genetic diversity and formation of the new cleavage site in an important neutralizing protein of wild strain are linked with the potency of artificial active immunization and a major cause of vaccine failure.

关键词： Newcastle Disease Virus Haemagglutination Inhibition Polymerase Chain Reaction Phylogenetic Tree Mutation Analysis

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不同孔径碳纤维三向织物复合材料增强混凝土轴压研究

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复合材料科学与工程 2024年

作者：孙婷婷张洪华 muhammad Usman ghani 李炜东华大学纺织学院东华大学民用航空复合材料协同创新中心产业用纺织品教育部工程研究中心

选用3种规格的T300碳纤维制备3种不同孔径大小的三向织物（Triaxial woven fabric，TWF）树脂基复合材料对混凝土进行加固。使用3D-DIC技术获取三维位移场和应变场，直观反映试样表面织物的膨胀脱落和不同纱线应变扩展的演化过程。结果... 详细信息

选用3种规格的T300碳纤维制备3种不同孔径大小的三向织物（Triaxial woven fabric，TWF）树脂基复合材料对混凝土进行加固。使用3D-DIC技术获取三维位移场和应变场，直观反映试样表面织物的膨胀脱落和不同纱线应变扩展的演化过程。结果表明：碳纤维三向织物复合材料在压缩时，三向织物的孔径越小，约束效果越显著。与未约束的混凝土相比，TWF-24k的峰值载荷提升了38.7%TWF-12k提高了41.2%，TWF-6k提高了49.9%。在孔隙率一定时，小孔径TWF更大程度地提升了混凝土的抗压强度和延性；TWF-6k试样的应变-时间曲线变化趋势更加一致，试样内部的应力分布更均匀。结合3D-DIC技术获取从加载到破坏整个时间序列的位移场和应变场演化规律，结果表明：TWF-6k相比于TWF-12k和TWF-24k经纬纱均提供了约束作用，均匀分担轴向压缩力和径向拉伸力，具有最好的约束效果。

关键词：碳纤维三向织物混凝土加固 3D-DIC 位移场三维应变场

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Ensemble Learning Models for Classification and Selection of Web Services: A Review

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Computer Systems Science & Engineering 2022年第1期40卷 327-339页

作者： muhammad Hasnain imran ghani Seung Ryul Jeong Aitizaz Ali Monash University Petaling Jaya46150Malaysia Indiana University of Pennsylvania IndianaPA 15705USA Kookmin University Seoul02707Korea

This paper presents a review of the ensemble learning models proposed for web services classification,selection,and composition.Web service is an evo-lutionary research area,and ensemble learning has become a hot spot to assess web services’earlier mentioned aspects.The proposed research aims to review the state of art approaches performed on the interesting web services area.The literature on the research topic is examined using the preferred reporting items for systematic reviews and meta-analyses(PRISMA)as a research method.The study reveals an increasing trend of using ensemble learning in the chosen papers within the last ten years.Naïve Bayes(NB),Support Vector Machine’(SVM),and other classifiers were identified as widely explored in selected studies.Core analysis of web services classification suggests that web services’performance aspects can be investigated in future works.This paper also identified performance measuring metrics,including accuracy,precision,recall,and f-measure,widely used in the literature.

关键词： Web services composition quality improvement class imbalance machine learning

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Empirical Analysis of Software Success Rate Forecasting During Requirement Engineering Processes

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Computers, Materials & Continua 2023年第1期74卷 783-799页

作者： muhammad Hasnain imran ghani Seung Ryul Jeong muhammad Fermi Pasha Sardar Usman Anjum Abbas Lahore Leads University Lahore42000Pakistan Computer and Information Sciences Virginia Military InstituteLexingtonVA24450USA Graduate School of Business IT Kookmin UniversitySeoul136Korea School of Information Technology Monash UniversityBandar Sunway47500Malaysia Department of Computer Science and Software Engineering Grand Asian University Sialkot51040Pakistan Government Sarwar Shaheed Associate College Gujjar KhanRawalpindi46000Pakistan

Forecasting on success or failure of software has become an interesting and,in fact,an essential task in the software development industry.In order to explore the latest data on successes and failures,this research focused on certain questions such as is early phase of the software development life cycle better than later phases in predicting software success and avoiding high rework?What human factors contribute to success or failure of a software?What software practices are used by the industry practitioners to achieve high quality of software in their day-to-day work?In order to conduct this empirical analysis a total of 104 practitioners were recruited to determine how human factors,misinterpretation,and miscommunication of requirements and decision-making processes play their roles in software success forecasting.We discussed a potential relationship between forecasting of software success or failure and the development processes.We noticed that experienced participants had more confidence in their practices and responded to the questionnaire in this empirical study,and they were more likely to rate software success forecasting linking to the development processes.Our analysis also shows that cognitive bias is the central human factor that negatively affects forecasting of software success rate.The results of this empirical study also validated that requirements’misinterpretation and miscommunication were themain causes behind software systems’failure.It has been seen that reliable,relevant,and trustworthy sources of information help in decision-making to predict software systems’success in the software industry.This empirical study highlights a need for other software practitioners to avoid such bias while working on software projects.Future investigation can be performed to identify the other human factors that may impact software systems’success.

关键词： Cognitive bias misinterpretation of requirements miscommunication software success and failure prediction decision making

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Prediction of Extremist Behaviour and Suicide Bombing from Terrorism Contents Using Supervised Learning

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Computers, Materials & Continua 2022年第3期70卷 4411-4428页

作者： Nasir Mahmood muhammad Usman ghani Khan Department of Computer Science University of Engineering and Technology54890Lahore

This study proposes an architecture for the prediction of extremist human behaviour from projected suicide bombings.By linking‘dots’of police data comprising scattered information of people,groups,logistics,locations,communication,and spatiotemporal characters on different social media groups,the proposed architecture will spawn beneficial information.This useful information will,in turn,help the police both in predicting potential terrorist events and in investigating previous events.Furthermore,this architecture will aid in the identification of criminals and their associates and handlers.Terrorism is psychological warfare,which,in the broadest sense,can be defined as the utilisation of deliberate violence for economic,political or religious purposes.In this study,a supervised learning-based approach was adopted to develop the proposed architecture.The dataset was prepared from the suicide bomb blast data of Pakistan obtained from the South Asia Terrorism Portal(SATP).As the proposed architecture was simulated,the supervised learning-based classifiers na飗e Bayes and Hoeffding Tree reached 72.17%accuracy.One of the additional benefits this study offers is the ability to predict the target audience of potential suicide bomb blasts,which may be used to eliminate future threats or,at least,minimise the number of casualties and other property losses.

关键词： Extremism terrorism suicide bombing crime prediction pattern recognition machine learning supervised learning

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