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太赫兹感知通信一体化波形设计与信号处理

通信学报 2022年第2期43卷 76-88页

作者：余显斌吕治东李涟漪 nazar muhammad idrees 张鹿浙江大学信息与电子工程学院浙江杭州310027 之江实验室浙江杭州311121

太赫兹波段感知通信一体化技术能够在提高数据传输速率和感知分辨率的同时,有效降低硬件资源和频谱资源的消耗。首先,简要介绍了感知通信一体化及太赫兹通信、感知的现状。然后,分别从感知和通信的角度讨论了一体化波形设计及优化策略,... 详细信息

太赫兹波段感知通信一体化技术能够在提高数据传输速率和感知分辨率的同时,有效降低硬件资源和频谱资源的消耗。首先,简要介绍了感知通信一体化及太赫兹通信、感知的现状。然后,分别从感知和通信的角度讨论了一体化波形设计及优化策略,同时分析了两类信号接收机的信号处理算法,并实验展示了一种97GHz基于OFDM信号的一体化系统,对系统的距离、速度和通信等性能进行了测试。最后,总结和展望了太赫兹感知通信一体化的技术难题和未来研究方向。

关键词：太赫兹感知通信一体化波形设计信号处理算法

Developing a phenomenological model to simulate single and mixed scale formation during flow in porous media:Coupling a salt precipitation model with an ion transport equation under dynamic conditions

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Petroleum Research 2024年第1期9卷 17-36页

作者： Erfan Hosseini Dana Mohammad nazar Negar Hosseini Mohammad Sarmadivaleh Exploration Directorate National Iranian Oil Company(NIOC)TehranIran Institute of Physical Chemistry and Polymer Physics Leibniz Institute of Polymer Research DresdenDresdenGermany Department of Petroleum Engineering Islamic Azad University(IAU)IlamIran WA School of Mines:Minerals Energy and Chemical EngineeringCurtin UniversityPerthWestern AustraliaAustralia

Water flooding and pressure maintenance are recommended to improve oil recovery practices after low recovery of petroleum reservoirs occurs during primary *** crystal formation is a frequent occurrence when using these *** experimental,numerical,and theoretical studies have been done on the mechanisms underlying scaling and permeability reduction in porous media;however,there has not been a satisfactory model *** study developed a phenomenological model to predict formation damage caused by salt *** with existing models,which provide a scaling tendency,the proposed model predicts the profile of scale *** salt precipitation model simulates reactive fluid flow through porous media.A thermodynamic,kinetic,and flow hydrodynamic model was developed and coupled with the ion transport equation to describe the movement of ***,a set of carefully designed dynamic experiments were conducted and the data were compared with the model *** forecasts and experimental data were observed to have an average absolute error(AAE)ranging from 0.68%to 5.94%,which indicates the model's suitability.

关键词： Improved oil recovery Water flooding Formation damage Scaling tendency Salt precipitation

Deep Transfer Learning Techniques in Intrusion Detection System-Internet of Vehicles: A State-of-the-Art Review

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Computers, Materials & Continua 2024年第8期80卷 2785-2813页

作者： Wufei Wu Javad Hassannataj Joloudari Senthil Kumar Jagatheesaperumal Kandala N.V.P.SRajesh Silvia Gaftandzhieva Sadiq Hussain Rahimullah Rabih Najibullah Haqjoo Mobeen nazar Hamed Vahdat-Nejad Rositsa Doneva School of Information Engineering Nanchang UniversityNanchang330031China Department of Computer Engineering Technical and Vocational University(TVU)Tehran***Iran Department of Computer Engineering University of BirjandBirjand***Iran Department of Computer Engineering Babol BranchIslamic Azad UniversityBabol***Iran Department of Electronics&Communication Engineering Mepco Schlenk Engineering CollegeSivakasi626005India School of Electronics Engineering VIT-AP UniversityNear Vijayawada522237India Faculty of Mathematics and Informatics University of Plovdiv Paisii HilendarskiPlovdiv4000Bulgaria Examination Branch Dibrugarh UniversityDibrugarh786004India Department of Computer Engineering Faculty of EngineeringUniversity of BirjandBirjand***Iran Faculty of Electrical and Computer Engineering University of BirjandBirjand***Iran Malaysian Institute of Information Technology Universiti Kuala LumpurKuala Lumpur50250Malaysia Faculty of Physics and Technology University of Plovdiv Paisii HilendarskiPlovdiv4000Bulgaria

The high performance of IoT technology in transportation networks has led to the increasing adoption of Internet of Vehicles(IoV)*** functional advantages of IoV include online communication services,accident prevention,cost reduction,and enhanced traffic *** these benefits,IoV technology is susceptible to cyber-attacks,which can exploit vulnerabilities in the vehicle network,leading to perturbations,disturbances,non-recognition of traffic signs,accidents,and vehicle *** paper reviews the state-of-the-art achievements and developments in applying Deep Transfer Learning(DTL)models for Intrusion Detection Systems in the Internet of Vehicles(IDS-IoV)based on anomaly ***-IoV leverages anomaly detection through machine learning and DTL techniques to mitigate the risks posed by *** systems can autonomously create specific models based on network data to differentiate between regular traffic and *** these techniques,transfer learning models are particularly promising due to their efficacy with tagged data,reduced training time,lower memory usage,and decreased computational *** evaluate DTL models against criteria including the ability to transfer knowledge,detection rate,accurate analysis of complex data,and *** review highlights the significant progress made in the field,showcasing how DTL models enhance the performance and reliability of IDS-IoV *** examining recent advancements,we provide insights into how DTL can effectively address cyber-attack challenges in IoV environments,ensuring safer and more efficient transportation networks.

关键词： Cyber-attacks internet of things internet of vehicles intrusion detection system

Study on the Characteristics and Restoration of Agricultural Land Contaminated by Brine

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Study on the Characteristics and Restoration of Agricultural...

作者： nazar muhammad 西南科技大学

学位级别：硕士

本文研究了中国南充市盐污染土壤的处理可能性,而且对污染土壤进行了实验室规模试验,并提出了适宜的处理方法。本文探究了不同的时间段土壤去除钠和氯的能力。通过对污染土壤进行EC和SAR测试,本文对实验土壤的盐度和碱度进行了评价,并... 详细信息

本文研究了中国南充市盐污染土壤的处理可能性,而且对污染土壤进行了实验室规模试验,并提出了适宜的处理方法。本文探究了不同的时间段土壤去除钠和氯的能力。通过对污染土壤进行EC和SAR测试,本文对实验土壤的盐度和碱度进行了评价,并根据管理机构的分类以及实验土壤EC和SAR值,将盐碱地土壤进行划分。通过调查过去该地与盐业相关的活动,发现大量的钠和氯化物被引入土壤。对南充市污染场地的试验结果表明,在浸出过程中,土壤在不添加任何化学物质的情况下会膨胀、分散。物理修饰或浸出不能去除污染场地中的盐离子。受污染土壤的渗透性与石膏的施用有关。随着石膏的加入,土壤EC和SAR的下降幅度大于加砂柱和对照柱,说明随着石膏的加入,土壤中有大量的钠离子和氯离子被去除。就EC和SAR而言,盐渍土壤在施用石膏后只需要较短的时间就能达到合适的修复目标,结果表明,石膏的加入更适合于盐渍土的修复。

关键词：土壤盐度修复浸出 XRD XRF FTIR等

Enhanced urease inhibition activity of Ag nanomaterials capped with N-substituted methyl 5-acetamido-β-resorcylate

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Progress in Natural Science:Materials International 2019年第2期29卷 129-137页

作者： Syeda Sohaila Naz muhammad Raza Shah nazar Ul Islam Syed Sartaj Alam Nanosciences and Technology Department National Centre for Physics Quaid-i-Azam University Campus ICCBS H.E.J.Research Institute of Chemistry University of Karachi Institute of Chemical Sciences University of Peshawar Sarhad University of Science and Information Technology Department of Plant Pathology The University of AgriculturePeshawar Pakistan

Medically, bacterial ureases are important virulent factors and are used for treatment of peptic ulcers and urinary tones. Reported urease inhibitors are associated with various side effects including antibiotic resistance as a major one. Still there is an urgent need to synthesize new urease inhibitors. In this context we have synthesized new urease inhibitor i.e. AgL that is composed of Ag nanomaterials capped with N-substituted methyl 5-acetamido-β-resorcylate(L). The conjugation of L to silver was confirmed through FTIR, UV–vis and TEM *** silver nanomaterials(Ag) were also prepared. The stability of AgL nanostructures was determined against various parameters(temperature, high salt concentration, pH) and found to be stable. The in vitro antimicrobial(antibacterial, antifungal), enzyme inhibition(xanthine oxidase, urease, carbonic anhydrase, α-chymotrypsin,cholinesterase) and antioxidant activities of AgL were investigated and compared with Ag, L and standard *** comparison to other bioactivities, AgL shows statistically enhanced selective enzyme inhibition activity against urease enzyme. Urease inhibition activity of AgL was significantly greater than standard drug(thiourea),L and Ag. On a per weight basis, AgL required about 11–18 times less amount of L for inhibition of urease enzyme.

关键词： β-Resorcylic acid N-Substituted methyl 5-acetamido-β-resorcylate Silver nanomaterials Enhanced urease inhibition activity

Properties of Certain Subclasses of Analytic Functions Involving q-Poisson Distribution

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Computer Modeling in Engineering & Sciences 2022年第6期131卷 1465-1477页

作者： Bilal Khan Zhi-Guo Liu nazar Khan Aftab Hussain Nasir Khan muhammad Tahir School of Mathematical Sciences and Shanghai Key Laboratory of PMMP East China Normal UniversityShanghai200241China Department of Mathematics Abbottabad University of Science and TechnologyAbbottabad22010Pakistan Department of Mathematics King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Mathematics FATA UniversityAkhorwal(Darra Adam Khel)FR Kohat26000Pakistan

By using the basic(or q)-Calculus many subclasses of analytic and univalent functions have been generalized and studied from different viewpoints and *** this paper,we aim to define certain new subclasses of an analytic *** then give necessary and sufficient conditions for each of the defined function *** also study necessary and sufficient conditions for a function whose coefficients are probabilities of q-Poisson *** validate our results,some known consequences are also given in the form of Remarks and Corollaries.

关键词： Analytic function q-difference operator sufficient condition q-Poisson distribution

An Integrated Deep Learning Framework for Fruits Diseases Classification

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Computers, Materials & Continua 2022年第4期71卷 1387-1402页

作者： Abdul Majid muhammad Attique Khan Majed Alhaisoni muhammad Asfand Eyar Usman Tariq nazar Hussain Yunyoung Nam Seifedine Kadry Department of Computer Science HITEC University TaxilaTaxilaPakistan College of Computer Science and Engineering University of Ha’ilHa’ilSaudi Arabia Department of Computer Science Bahria UniversityIslamabad College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz UniversityAl-KhrajSaudi Arabia Department of Computer Science and Engineering Soonchunhyang UniversityAsanKorea Faculty of Applied Computing and Technology Noroff University CollegeKristiansandNorway

:Agriculture has been an important research area in the field of image processing for the last five *** affect the quality and quantity of fruits,thereby disrupting the economy of a *** computerized techniques have been introduced for detecting and recognizing fruit ***,some issues remain to be addressed,such as irrelevant features and the dimensionality of feature vectors,which increase the computational time of the ***,we propose an integrated deep learning framework for classifying fruit *** consider seven types of fruits,i.e.,apple,cherry,blueberry,grapes,peach,citrus,and *** proposed method comprises several important ***,data increase is applied,and then two different types of features are *** the first feature type,texture and color features,i.e.,classical features,are *** the second type,deep learning characteristics are extracted using a pretrained *** pretrained model is reused through transfer ***,both types of features are merged using the maximum mean value of the serial ***,the resulting fused vector is optimized using a harmonic threshold-based genetic ***,the selected features are classified using multiple *** evaluation is performed on the PlantVillage dataset,and an accuracy of 99%is achieved.A comparison with recent techniques indicate the superiority of the proposed method.

关键词： Fruit diseases data augmentation deep learning classical features features fusion features selection

Detailed investigation of optimized alkali catalyzed transesterification of Jatropha oil for biodiesel production

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Journal of Energy Chemistry 2015年第3期24卷 331-336页

作者： Waqas Ahmed muhammad Faizan nazar Syed Danish Ali Usman Ali Rana Salah Ud-Din Khan National Centre for Physics Quaid-i-Azam University Campus Office of Research Innovation and CommercializationUniversity of Gujrat Department of Chemistry University of Gujrat Sustainable Energy Technologies (SET) Center College of EngineeringPO-Box 800King Saud University

The non-edible oils are believed to be one of the major feedstock for the production of biodiesel in *** the present study,we investigated the production of Jatropha oil methyl esters（JOMEs） via alkali-catalyzed transesterification *** biophysical characteristics of Jatropha oil were found within the optimal range in accordance with ASTM standards as a substitute diesel *** chemical composition and production yield of as-synthesized biodiesel were confirmed by various analytical techniques such as FT-IR,1H NMR,13 C NMR and gas chromatography coupled with mass spectrometry.A high percentage conversion,～96.09%,of fatty acids into esters was achieved under optimized transesterification conditions with 6 ：1 oil to methanol ratio and 0.9 wt% Na OH for 50 min at ～60°***,twelve fatty acids methyl esters（FAME） were quantified in the GC/MS analysis and it was interesting to note that the mass fragmentation pattern of saturated,monounsaturated and diunsaturated FAME was comparable with the literature reported values.

关键词： Jatropha oil methyl esters transesterification biodiesel fuel gas chromatography mass spectrometry

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基于文献计量学解析国际绵羊研究态势

畜牧兽医杂志 2024年第1期43卷 38-42页

作者： nazar Akhmet 王乾赵子仪 Zhanerke Akhatayeva Rizabek Kadyken 潘传英蓝贤勇西北农林科技大学动物科技学院陕西杨凌712100 绵羊育种科学研究所分部、哈萨克畜牧业与饲料生产科学研究所哈萨克斯坦明巴耶夫阿拉木图040622 哈萨克国立农业研究大学动物工程与食品生产技术系哈萨克斯坦阿拉木图阿拉木图050012

为了解近30年左右国际绵羊领域的研究现状及发展趋势,本文借助Web of Science核心合集数据库和CNKI数据库,以“TI=(sheep OR ovine)”为检索式进行高级检索,利用Excel和Citespace等分析工具,对1992.1-2023.6期间发表的国际“绵羊”研究... 详细信息

为了解近30年左右国际绵羊领域的研究现状及发展趋势,本文借助Web of Science核心合集数据库和CNKI数据库,以“TI=(sheep OR ovine)”为检索式进行高级检索,利用Excel和Citespace等分析工具,对1992.1-2023.6期间发表的国际“绵羊”研究文献的国家/地区、作者、机构、期刊、研究方向和关键词等进行计量学分析。分析发现:绵羊研究领域发文量总体呈逐年上升趋势;国际绵羊研究主要集中在农业、兽医学及繁殖方向。本研究解析了国际绵羊领域研究态势,为了解研究热点及在国际期刊发表相关论文提供参考,为进一步丰富绵羊领域研究提供思路,为我国绵羊种业发展提供科学资料。

关键词：绵羊数据库文献计量学