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Micro Gas Turbine Range Extender Performance Analysis Using Varying Intake Temperature

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Automotive Innovation 2020年第4期3卷 356-365页

作者： Raja Mazuir Raja ahsan Shah Mansour Al Qubeissi Andrew McGordon Mark Amor‑Segan Paul Jennings Faculty of Engineering Environment and ComputingCoventry UniversityCoventry CV12JHUK Warwick Manufacturing Group University of WarwickCoventry CV47ALUK

A micro gas turbine(MGT)can potentially be an alternative power source to the conventional internal combustion engine as a range extender in hybrid electric *** integration of the MGT into a hybrid vehicle needs a new approach for technical validation requirements compared to the testing of an internal combustion *** attributes of the MGT are predicted to cause concerns for vehicle sub-system requirements such as high ambient temperature and start-stop *** paper describes the results from specially developed experimental techniques for testing the MGT in a typical automo-tive environment.A black box MGT was used in this study for performance investigation during hot and cold *** MGT was instrumented and fitted with automotive standard components to replicate typical vehicle operational *** intake air temperature was varied between 10 and 24°C.A significant reduction in the power output of the MGT was observed as the intake temperature was *** proposed case scenario caused a reduction in nitrogen oxide emis-sions in the range of 0.02−0.04 g/km because of the lower combustion temperature at high intake ***,hydrocarbon and carbon monoxide emissions have not shown a noticeable reduction during the power output *** experimental results have highlighted the potential issues of using the MGT at higher intake temperatures and suggest design change to take the effect of higher engine bay temperature into account.

关键词： Micro gas turbine Hybrid vehicle Range extender Test characterization

An Efficient Impersonation Attack Detection Method in Fog Computing

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Computers, Materials & Continua 2021年第7期68卷 267-281页

作者： Jialin Wan Muhammad Waqas Shanshan Tu Syed Mudassir Hussain ahsan Shah Sadaqat Ur Rehman Muhammad Hanif Engineering Research Center of Intelligent Perception and Autonomous Control Faculty of Information TechnologyBeijing University of TechnologyBeijing100124China Faculty of Computer Science and Engineering Ghulam Ishaq Khan Institute of Engineering Sciences and TechnologyTopi23460Pakistan Department of Electronics Engineering FICTBalochistan University of Information TechnologyEngineering and Management SciencesQuetta87300Pakistan Department of Computer Science Namal InstituteMianwali42200Pakistan

Fog computing paradigm extends computing,communication,storage,and network resources to the network’s *** the fog layer is located between cloud and end-users,it can provide more convenience and timely services to ***,in fog computing(FC),attackers can behave as real fog nodes or end-users to provide malicious services in the *** attacker acts as an impersonator to impersonate other legitimate ***,in this work,we present a detection technique to secure the FC ***,we model a physical layer key generation based on wireless channel *** generate the secret keys between the legitimate users and avoid impersonators,we then consider a Double Sarsa technique to identify the impersonators at the receiver *** compare our proposed Double Sarsa technique with the other two methods to validate our work,i.e.,Sarsa and *** simulation results demonstrate that the method based on Double Sarsa outperforms Sarsa and Q-learning approaches in terms of false alarm rate(FAR),miss detection rate(MDR),and average error rate(AER).

关键词： Fog computing double Sarsa attack detection physical layer key security

Outsmarting Android Malware with Cutting-Edge Feature Engineering and Machine Learning Techniques

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Computers, Materials & Continua 2024年第4期79卷 651-673页

作者： ahsan Wajahat Jingsha He Nafei Zhu Tariq Mahmood Tanzila Saba Amjad Rehman Khan Faten S.A.lamri Faculty of Information Technology Beijing University of TechnologyBeijing100124China Artificial Intelligence and Data Analytics(AIDA)Lab CCIS Prince Sultan UniversityRiyadh11586Saudi Arabia Faculty of Information Sciences University of EducationVehari CampusVehari61100Pakistan Department of Mathematical Sciences College of SciencePrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia

The growing usage of Android smartphones has led to a significant rise in incidents of Android malware andprivacy *** escalating security concern necessitates the development of advanced technologies capableof automatically detecting andmitigatingmalicious activities in Android applications(apps).Such technologies arecrucial for safeguarding user data and maintaining the integrity of mobile devices in an increasingly digital *** methods employed to detect sensitive data leaks in Android apps are hampered by two major limitationsthey require substantial computational resources and are prone to a high frequency of false *** meansthat while attempting to identify security breaches,these methods often consume considerable processing powerand mistakenly flag benign activities as malicious,leading to inefficiencies and reduced reliability in *** proposed approach includes a data preprocessing step that removes duplicate samples,managesunbalanced datasets,corrects inconsistencies,and imputes missing values to ensure data *** Minimaxmethod is then used to normalize numerical data,followed by feature vector extraction using the Gain ratio andChi-squared test to identify and extract the most significant characteristics using an appropriate prediction *** study focuses on extracting a subset of attributes best suited for the task and recommending a predictivemodel based on domain expert *** proposed method is evaluated using Drebin and TUANDROMDdatasets containing 15,036 and 4,464 benign and malicious samples,*** empirical result shows thatthe RandomForest(RF)and Support VectorMachine(SVC)classifiers achieved impressive accuracy rates of 98.9%and 98.8%,respectively,in detecting unknown Androidmalware.A sensitivity analysis experiment was also carriedout on all three ML-based classifiers based on MAE,MSE,R2,and sensitivity parameters,resulting in a flawlessperformance for both *** app

关键词： Android malware detection machine learning SVC K-Nearest Neighbors(KNN) RF

Comparative assessment of total polyphenols, antioxidant and antimicrobial activity of different tea varieties of Bangladesh

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Asian Pacific Journal of Tropical Biomedicine 2017年第4期7卷 352-357页

作者： Yead Morshed Nibir Ahmed Faisal Sumit Anwarul Azim Akhand Nazmul ahsan Mohammad Shahnoor Hossain Department of Genetic Engineering and Biotechnology University of DhakaDhaka 1000Bangladesh

Objective: To determine the total polyphenol content, antioxidant activity and antibacterial properties of the extracts of different Bangladeshi tea varieties such as flowery broken orange pekoe, broken orange pekoe, red dust and green ***: Total phenolic and flavonoid contents were determined by Folin–Ciocalteu and aluminum chloride colorimetric assay, *** antioxidant capacity was determined by ferric ion reducing antioxidant power and phosphomolybdenum *** activity was evaluated by disc diffusion method in agar plate and subsequently, the minimum inhibitory concentration was determined by broth dilution ***: Total phenolic and flavonoid contents were significantly higher(P < 0.05) in green tea compared to other three black tea *** green tea also showed a higher free radical scavenging and antioxidant activities than all the other tea varieties tested(P < 0.05).In addition, the extracts of all four tea varieties showed inhibitory activity against several pathogenic bacteria and also the same trend of higher antimicrobial activity of green tea than other tea varieties was ***: Taken together, the results of this study demonstrated that Bangladeshi tea,especially the green tea, may act as a substitute for natural antioxidants and as a promising antibacterial agent for beneficial influence in human health.

关键词： Tea extracts Antioxidant activity Antibacterial activity Total phenolic content

Enhanced stability and electrochemical properties of lanthanum and cerium co-modified LiVOPO_(4) cathode materials for Li-ion batteries

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Journal of Rare Earths 2023年第10期41卷 1590-1596,I0005页

作者： Zishan ahsan Zhenfei Cai Shuai Wang Haichuan Wang Yangzhou Ma Guangsheng Song Shihong Zhang Weidong Yang Muhammad Imran Cuie Wen Key Laboratory of Green Fabrication and Surface Technology of Advanced Metal Materials Ministry of EducationSchool of Materials Science and EngineeringAnhui University of TechnologyMaanshan243000China School of Metallurgical Engineering Anhui University of TechnologyMaanshan243002China Future Manufacturing Flagship Commonwealth Scientific and Industry Research OrganizationMelbourneVictoria3168Australia Department of Chemistry Faculty of ScienceKing Khalid UniversityAbha61413Saudi Arabia School of Engineering RMIT UniversityBundooraVictoria3083Australia

A facile and efficient ball-milling assisted sol-gel synthesis route was developed to prepare triclinic e-LiVOPO_(4)(LVOP)material with lanthanum(La)and cerium(Ce)modification individually as well as *** LVOP/LaPO_(4)/CePO_(4)composite cathode material was successfully synthesized and results show that La and Ce co-modification noticeably improves the electrochemical performance by enhancing the high voltage capacity upon cycling,which indicates contributions from the good ionic conductors LaPO_(4)and CePO_(4).The simultaneous La and Ce modification improves the high voltage performance significantly with an increase of 50%in high voltage capacity after 20 cycles compared to pure *** also shows stabilized cycling perfo rmance with 91%capacity rete ntion after 50 cycles at 0.1 C rate,along with high-rate capability with a capacity of 83.1 mAh/g compared to the pristine sample showing the capacity of 51.6 mAh/g at a high rate of *** can be attributed to the good conductivity of LaPO_(4)and CePO_(4).In addition,the LVOP/LaPO_(4)/CePO_(4)composite and the pristine LVOP give a charge transfer resistance of-105 and-212Ω,respectively,showing much lower impedance due to a combination of La and Ce addition.

关键词： Li-ion bateries ε-LiVOP04 Cathode materials La Ce co-modification Enhanced stability Rare earths

橡胶木屑基活性炭—聚氨酯复合材料的制备及其微波吸收性能（英文）

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新型炭材料 2015年第2期30卷 167-175页

作者： Azizah Shaaban Sian-Meng Se Imran Mohd Ibrahim Qumrul ahsan Department of Engineering Materials Faculty of Manufacturing EngineeringUniversiti Teknikal Malaysia Melaka (UTeM) Hang Tuah Jaya 76100 Durian Tunggal Melaka Malaysia Department of Telecommunication Faculty of Electronics and Computer EngineeringUniversiti Teknikal Malaysia Melaka (UTeM) Hang Tuah Jaya 76100 Durian Tunggal Melaka Malaysia

采用ZnCl2对橡胶木屑进行化学活化制备出活性炭。ZnCl2与橡胶木屑的浸渍质量比为1.0-2.0,活化温度为500℃,时间为60min。通过扫描电镜、X射线衍射和BET比表面分析仪探讨浸渍比例对活性炭孔结构的影响。结果表明,当浸渍比为1.5∶1时,样... 详细信息

采用ZnCl2对橡胶木屑进行化学活化制备出活性炭。ZnCl2与橡胶木屑的浸渍质量比为1.0-2.0,活化温度为500℃,时间为60min。通过扫描电镜、X射线衍射和BET比表面分析仪探讨浸渍比例对活性炭孔结构的影响。结果表明,当浸渍比为1.5∶1时,样品的比表面积和孔径分别为1301m2/g和0.37cm3/g。通过化学发泡工艺将不同质量分数(1%,2%,3%,5%,8%)的活性炭填充至聚氨酯中制备出聚氨酯复合材料。在1-5GHz频率范围内,复合材料吸收微波。随着活性炭含量增加,在1-3GHz范围内,介电常数(ε’)和回波损耗增加。活性炭含量为8%时复合材料的介电常数达到最大值3.0。在1.8GHz时,复合材料的回波损耗为10dB。在-2.5GHz,电磁屏蔽效率大于3dB。与传统聚合物材料如填加金属的聚氨酯和聚酯相比,所制复合材料呈微波段吸收,可作为电磁屏蔽材料。

关键词：橡胶木屑化学活化活性炭微波吸收材料介电常数回波损耗

Origins and history of autoimmunity—A brief review

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Rheumatology & Autoimmunity 2023年第1期3卷 9-14页

作者： Haseeb ahsan Department of Biochemistry Faculty of DentistryJamia Millia IslamiaJamia NagarNew DelhiIndia

It was not widely recognized,until the 1950s,that an immune response could be developed not only against“foreign”but also“self”antigens from the studies of chronic thyroiditis leading to the acceptance of autoimmune *** Ehrlich coined the term“horror autotoxicus”to emphasize the pathogenesis of autoimmunity and how the immune system distinguishes“foreign”from“self”.The process led to the concept of immune *** discoveries of allergy and anaphylaxis were the first signs that the immune system was capable of *** first autoantibodies were discovered in the 1940s,when antinuclear antibodies and rheumatoid factors were described as serum factors that could bind nuclear antigens and immunoglobulins,*** has now becoming increasingly understandable that autoantibodies play a pivotal role in the pathogenesis of several diseases and mediate systemic inflammation and tissue *** purpose of this review article is to elucidate,explain,and emphasize the origins and history of autoimmunity.

关键词： autoimmunity history immunity

Optimal Deep Reinforcement Learning for Intrusion Detection in UAVs

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Computers, Materials & Continua 2022年第2期70卷 2639-2653页

作者： V.Praveena A.Vijayaraj P.Chinnasamy Ihsan Ali Roobaea Alroobaea Saleh Yahya Alyahyan Muhammad ahsan Raza Department of Computer Science and Engineering Dr.N.G.P Institute of TechnologyCoimbatore641048India Department of Information Technology Vignan’s Foundation for ScienceTechnology&ResearchGuntur522213India Department of Information Technology Sri Shakthi Institute of Engineering and TechnologyCoimbatore641062India Department of Computer System and Technology Faculty of Computer Science and Information TechnologyUniversity of MalayaKuala Lumpur50603Malaysia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science Community College in DwadmiShaqra University11961Saudi Arabia Department of Information Technology Bahauddin Zakariya UniversityMultan60000Pakistan

In recent years,progressive developments have been observed in recent technologies and the production cost has been continuously *** such scenario,Internet of Things(IoT)network which is comprised of a set of Unmanned Aerial Vehicles(UAV),has received more attention from civilian tomilitary *** network security poses a serious challenge to UAV networks whereas the intrusion detection system(IDS)is found to be an effective process to secure the UAV *** IDSs are not adequate to handle the latest computer networks that possess maximumbandwidth and data *** order to improve the detection performance and reduce the false alarms generated by IDS,several researchers have employed Machine Learning(ML)and Deep Learning(DL)algorithms to address the intrusion detection *** this view,the current research article presents a deep reinforcement learning technique,optimized by BlackWidow Optimization(DRL-BWO)algorithm,for UAV *** addition,DRL involves an improved reinforcement learning-based Deep Belief Network(DBN)for intrusion *** parameter optimization of DRL technique,BWO algorithm is *** helps in improving the intrusion detection performance of UAV *** extensive set of experimental analysis was performed to highlight the supremacy of the proposed *** the simulation values,it is evident that the proposed method is appropriate as it attained high precision,recall,F-measure,and accuracy values such as 0.985,0.993,0.988,and 0.989 respectively.

关键词： Intrusion detection UAV networks reinforcement learning deep learning parameter optimization

Physical, Thermal and Mechanical Properties of Areca Fibre Reinforced Polymer Composites – An Overview

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Journal of Bionic Engineering 2020年第1期17卷 185-205页

作者： Tamil Moli Loganathan Mohamed Thariq Hameed Sultan Mohammad Jawaid Ain Umaira Md Shah Qumrul ahsan Manohar Mariapan Mohd Shukry bin Abdul Majid Department of Aerospace Engineering Faculty of EngineeringUniversiti Putra Malaysia43400 UPM SerdangSelangor Darul EhsanMalaysia Laboratory of Biocomposite Technology Institute of Tropical Forestry and Forest Products(INTROP)Universiti Putra Malaysia43400 UPM SerdangSelangor Darul EhsanMalaysia Aerospace Malaysia Innovation Centre(944751-A) Prime Minister's DepartmentMIGHT Partnership HubJalan Impact63000 CyberjayaSelangor Darul EhsanMalaysia Faculty of Manufacturing Engineering Universiti Teknikal Malaysia MelakaHang Tuah Jaya76100 Durian TunggalMelakaMalaysia Department of Science Park and Recreation Faculty of ForestryUniversiti Putra Malaysia43400 UPM SerdangSelangor Darul EhsanMalaysia School of Mechatronic Engineering Universiti Malaysia PerlisPauh Putra Campus02600 ArauPerlisMalaysia

Areca catechu,is a species of palm belonging to the family of Arecaceae/Palmae,grows vertically,to the height of 10 m to 20 m,the stem is straight,solitary and slender,10 cm to 15 cm in diameter,with marks of annulated scars of fallen leaf *** fibres are predominantly extracted not only from the fruit as areca husk,but also from leaf stalks and *** this review paper,areca fibre is compared with those of other representative species of the Arecaceae/Palmae family,such as the coconut tree and the palm tree,in terms of physical and mechanical *** review article also discusses the physical,mechanical and thermal properties of areca fibre and its *** review of known published data reveals that,while areca fibre has the potential to be used as an alternative reinforcement in polymer ***,it has been also noticed that some other species from the family of Arecaceae/Palmae have not been explored as natural fibre reinforcement in polymer composites either,thus revealing further options of natural alternative reinforcement to be investigated with regard to their potential to be used in fibre based composites for the automotive,aerospace,and construction industries.

关键词： natural fibres areca mechanical properties surface treatment hybrid composites