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多模式匹配算法

多模式匹配算法

作者： ahmed ABDO farhan SAIF 吉林大学

学位级别：硕士

大多数信息安全应用程序如反病毒程序以及入侵检测系统，都会选择多模式匹配算法作为其核心组成部分。该算法能够同时搜索千上万的模式串并且判断出这些模式串的位置。本文提出了两种多模式匹配算法，分别属于标准的多模式匹配算法和... 详细信息

大多数信息安全应用程序如反病毒程序以及入侵检测系统，都会选择多模式匹配算法作为其核心组成部分。该算法能够同时搜索千上万的模式串并且判断出这些模式串的位置。本文提出了两种多模式匹配算法，分别属于标准的多模式匹配算法和带有通配符的模式匹配算法。在标准方式下，多模式匹配算法的研究是基于哈希函数的。它对Karp-Rabin算法进行了扩展，其预处理时间为O(|P|)。如果没有匹配结果并且所有模式串长度相同，则算法执行时间为O(n+nlogk)。如果匹配后得到的模式串长度为l则验证函数需要时间l来检查是否真正匹配，其算法所用时间为O(n+nlogk+ooc(l))。如果模式串的长度不同则时间为O(mn+nk+ooc(l))(最会条件)，其中occ是真假匹配的数量。算法能够计算的最大的哈希值为xm(m+1)其中σ≈x/lnx。该算法不容易被攻击并且能够较好的运行在多处理器的并行模式下。此外本文提出的包含通配符的模式匹配算法是基于欧几里得距离和哈希函数的，该算法使用FFT来计算欧几里得距离和哈希函数。如果没有匹配结果，算法执行时间为O(k n logl)。如果匹配结果带有通配符并且通配符的符号仅存在于模式串中，需要时间为O(k n logl+ox)。如果文本中也包含了通配符，那么算法的执行时间要增加到O(k n log l+2ox)。对于匹配后的任意模式串，该算法存在1/σ的错误匹配率，其中k是模式串的数量，l为块长度，o是完成匹配的模式串的数量，x是完成匹配的模式串中块的数量。

关键词：多模式匹配 FFT 哈市函数欧几里得距离

Analyzing the Impact of Scene Transitions on Indoor Camera Localization through Scene Change Detection in Real-Time

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Intelligent Automation & Soft Computing 2024年第3期39卷 417-436页

作者： Muhammad S.Alam farhan B.Mohamed Ali Selamat Faruk ahmed AKM B.Hossain Department of Emergent Computing School of ComputingUniversiti Teknologi MalaysiaJohor Bahru81310Malaysia Malaysia-Japan International Institute of Technology(MJIIT) Universiti Teknologi MalaysiaKuala Lumpur54100Malaysia Media and Game Innovation Centre of Excellence(MaGICX) Universiti Teknologi MalaysiaJohor Bahru81310Malaysia Department of Engineering Technology University of MemphisMemphisTN38152USA Department of Computer Science and Artificial Intelligence College of Computing and Information TechnologyUniversity of BishaBisha61922Saudi Arabia School of Computing Faculty of EngineeringUniversiti Teknologi MalaysiaJohor Bahru81310Malaysia Department of Information System and Cyber Security College of Computing and Information TechnologyUniversity of BishaBisha61922Saudi Arabia

Real-time indoor camera localization is a significant problem in indoor robot navigation and surveillance *** scene can change during the image sequence and plays a vital role in the localization performance of robotic applications in terms of accuracy and *** research proposed a real-time indoor camera localization system based on a recurrent neural network that detects scene change during the image *** annotated image dataset trains the proposed system and predicts the camera pose in *** system mainly improved the localization performance of indoor cameras by more accurately predicting the camera *** also recognizes the scene changes during the sequence and evaluates the effects of these *** system achieved high accuracy and real-time *** scene change detection process was performed using visual rhythm and the proposed recurrent deep architecture,which performed camera pose prediction and scene change impact ***,this study proposed a novel real-time localization system for indoor cameras that detects scene changes and shows how they affect localization performance.

关键词： Camera pose estimation indoor camera localization real-time localization scene change detection simultaneous localization and mapping(SLAM)

Big Model Strategy for Bridge Structural Health Monitoring Based on Data-Driven, Adaptive Method and Convolutional Neural Network (CNN) Group

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Structural Durability & Health Monitoring 2024年第6期18卷 763-783页

作者： Yadong Xu Weixing Hong Mohammad Noori Wael A.Altabey ahmed Silik Nabeel S.D.farhan Nanjing Highway Development Center Changzhou211106China Nanjing Zhixing Information Technology Co. Ltd.Nanjing210000China Department of Mechanical Engineering California Polytechnic State UniversitySan Luis ObispoCA 93405USA Department of Mechanical Engineering Faculty of EngineeringAlexandria UniversityAlexandria21544Egypt Department of Civil Engineering Nyala UniversityP.O.Box 155NyalaSudan School of Civil Engineering University of LeedsLeedsLS29JTUK

This study introduces an innovative“Big Model”strategy to enhance Bridge Structural Health Monitoring(SHM)using a Convolutional Neural Network(CNN),time-frequency analysis,and fine element *** ensemble methods,collaborative learning,and distributed computing,the approach effectively manages the complexity and scale of large-scale bridge *** CNN employs transfer learning,fine-tuning,and continuous monitoring to optimize models for adaptive and accurate structural health assessments,focusing on extracting meaningful features through time-frequency *** integrating Finite Element Analysis,time-frequency analysis,and CNNs,the strategy provides a comprehensive understanding of bridge *** diverse sensor data,sophisticated feature extraction,and advanced CNN architecture,the model is optimized through rigorous preprocessing and hyperparameter *** approach significantly enhances the ability to make accurate predictions,monitor structural health,and support proactive maintenance practices,thereby ensuring the safety and longevity of critical infrastructure.

关键词： Structural Health Monitoring(SHM) bridges big model Convolutional Neural Network(CNN) Finite Element Method(FEM)

Overall Assessment of Heat Transfer for a Rarefied Flow in a Microchannel with Obstacles Using Lattice Boltzmann Method

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工程与科学中的计算机建模(英文) 2024年第1期138卷 273-299页

作者： Siham Hammid Khatir Naima Omolayo M.Ikumapayi Cheikh Kezrane Abdelkrim Liazid Jihad Asad Mokdad Hayawi Rahman farhan Lafta Rashid Naseer Ali Hussien Younes Menni Laboratory of Development in Mechanics and Materials(LDMM) Zian Achour UniversityDjelfaPB 3117Algeria Department of Technology University Center Salhi Ahmed Naama(Ctr.Univ.Naama)P.O.Box 66Naama45000Algeria Department of Mechanical and Mechatronics Engineering Afe Babalola University Ado Ekiti360101Nigeria Departement of Physics Faculty of ScienceAbou Bekr Belkaid UniversityTlemcen13000Algeria Department of Physics Faculty of Applied SciencesPalestine Technical University-KadoorieTulkarmPalestine Aeronautical Technical Engineering Al-Farahidi UniversityBaghdad10011Iraq Mechanical Engineering Department University of KerbalaKarbala56001Iraq Information and Communication Technology Research Group Scientific Research CenterAl-Ayen UniversityThi-QarIraq National University of Science and Technology Dhi QarIraq

The objective of this investigation is to assess the effect of obstacles on numerical heat transfer and fluid flow momentum in a rectangular microchannel(MC).Two distinct configurations were studied:one without obstacles and the other with alternating obstacles placed on the upper and lower *** research utilized the thermal lattice Boltzmann method(LBM),which solves the energy and momentum equations of fluids with the BGK approximation,implemented in a Python coding *** jump and slip velocity conditions were utilized in the simulation for the MC and extended to all obstacle *** study aims to analyze the rarefaction effect,with Knudsen numbers(Kn)of 0.012,0.02,and *** outcomes indicate that rarefaction has a significant impact on the velocity and temperature *** presence of nine obstacles led to slower fluid movement inside the microchannel MC,resulting in faster cooling at the *** MCs with obstacles,the rarefaction effect plays a crucial role in decreasing the Nusselt number(Nu)and skin friction coefficient(Cf).Furthermore,the study demonstrated that the obstacles played a crucial role in boosting fluid flow and heat transfer in the *** findings suggest that the examined configurations could have potential applications as cooling technologies in micro-electro-mechanical systems and microdevice applications.

关键词： Microfluid rarefied flow LBM microchannel Knudsen number numerical simulation

A Hybrid Duo-Deep Learning and Best Features Based Framework for Action Recognition

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Computers, Materials & Continua 2022年第11期73卷 2555-2576页

作者： Muhammad Naeem Akbar farhan Riaz ahmed Bilal Awan Muhammad Attique Khan Usman Tariq Saad Rehman National University of Sciences and Technology(NUST) Islamabad46000Pakistan Department of Computer Science HITEC UniversityTaxilaPakistan College of Computer Engineering and Science Prince Sattam Bin Abdulaziz UniversityAl-Kharaj 11942Saudi Arabia

Human Action Recognition(HAR)is a current research topic in the field of computer vision that is based on an important application known as video *** in computer vision have introduced various intelligent methods based on deep learning and machine learning,but they still face many challenges such as similarity in various actions and redundant *** proposed a framework for accurate human action recognition(HAR)based on deep learning and an improved features optimization algorithm in this *** deep learning feature extraction to feature classification,the proposed framework includes several critical *** training fine-tuned deep learning models–MobileNet-V2 and Darknet53–the original video frames are *** feature extraction,pre-trained deep models are used,which are fused using the canonical correlation *** that,an improved particle swarm optimization(IPSO)-based algorithm is used to select the best *** that,the selected features were used to classify actions using various *** experimental process was performed on six publicly available datasets such as KTH,UT-Interaction,UCF Sports,Hollywood,IXMAS,and UCF YouTube,which attained an accuracy of 98.3%,98.9%,99.8%,99.6%,98.6%,and 100%,*** comparison with existing techniques,it is observed that the proposed framework achieved improved accuracy.

关键词： Action recognition deep learning features fusion features selection recognition

Numerical Investigations of Flow Pattern and Anti-Vortex Measures of the Pumping Station Forebay

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Numerical Investigations of Flow Pattern and Anti-Vortex Mea...

作者： ahmed Nasr Elsayed Ali Nasr farhan 扬州大学

学位级别：硕士

泵站前池是外河和进水池（进水流道）的连接段,其作用是为了保证水流在从外河流向进水池（进水流道）的过程中能够平顺地扩散,为进水池（进水流道）提供良好的流态。依据水流方向,前池可分为正向进水前池和侧向进水前池两种基本类型,侧... 详细信息

泵站前池是外河和进水池（进水流道）的连接段,其作用是为了保证水流在从外河流向进水池（进水流道）的过程中能够平顺地扩散,为进水池（进水流道）提供良好的流态。依据水流方向,前池可分为正向进水前池和侧向进水前池两种基本类型,侧向进水前池拥有占的地方少、投资省等各种特点,在中国的农业灌溉、火电厂循环供水及城战给水排水泵站中较为常见,若泵站兴建所处地形条件狭窄、正向进水不容易布置的情况下常采用侧向进水前池,此时侧向进水前池的水流与进水池（进水流道）水流方向正交或斜交,因流向的改变,前池内易形成回流或旋涡,流速分布变得不均匀,流态紊乱,造成进水池（进水流道）入口处流速分布不均匀,将会导致泵装置水力效率从而降低,影响泵装置中安全稳定的运行,并缩短水泵的使用寿命。本论文以江苏省徐州市翟山大沟泵站为本次的研究对象,该泵站的前池为典型的侧向进水结构且前池具有较大纵向底坡,为明确该泵站侧向进水前池的流场分布特征并且能够确保机组安全稳定的运行,本文将使用数值模拟技术的方法对该泵站的侧向进水前池内流场进行数值模拟,通过定性和定量相结合的分析方法揭示前池的流场特征并对前池流态调控措施的流场调控效果进行对比和分析,优选整流措施,为实际工程提供技术支撑,也为同类型泵站的前池流态调控提供参考。目前,国内外一些学者针对泵站前池的流场及流态调控措施的研究展开了不少的研究工作,研究方法主要集中于数值模拟和物理模型试验。随着实际泵站工程规模越来越大且复杂,物理模型试验的研究方式越来越不经济,且具有耗时长、人力受限和所需场地大等诸多困难而在前池流场及流态调控研究中应用的较少,随着CFD（Computational Fluid Dynamic）技术的不断发展和成熟。通过中国知网以及其他等数据库的文献查询,采用数值模拟技术研究前池流场的论文占比89.33%,CFD数值模拟技术具有省时、省工及研究成本低的优点在前池流场及流态调控中的应用也变得越来越多,很多学者采用CFD数值模拟技术模拟实际泵站工程的运行以得出问题并分析解决,通过数值模拟结果提出了流态调控措施解决实际泵站前池中的流态问题,对实际工程的前池流场做出改善,同时和物理模型试验相比,CFD数值模拟技术可模拟更大范围的泵站建筑物并更快捷、更经济地获得结论,本文对泵站前池流场及流态调控措施的研究采用数值模拟技术。翟山大沟泵站主要承担暴雨季排除多余的降水,在旱季为了能够保证农作物的正常需水,属于农业灌排泵站。泵站有四个进水池,每个进水池都装有潜水轴流泵装置单机设计流量为4.25 m3/s,泵站总设计流量为17 m3/s,每台泵之间的间距为4.4 m,进水池的长度为9.8m。引河的研究尺寸为:长83.3m,宽11.2m。该泵站受限于实际地形条件布置,前池通过两个斜坡与进水池相连接,第一级斜坡高差为1.1 m,第二级斜坡高差为4.9 m。（一）研究内容及技术路线（1）采用数值模拟技术分析翟山大沟泵站的侧向进水前池的流场分布特征;（2）针对该侧向进水前池的流态特征,提出不同的整流措施并开展数值计算;（3）采用定量和定性相结合的方法对比分析各整流措施方案与初设方案的前池流场的差异性,选优合适的整流方案。本文采用Solidworks三维建模软件对翟山大沟泵站引河、前池、进水池和潜水泵进行流体域的整体三维建模,通过网格数量无关性和网格收敛性确定数值计算网格数量从而确保数值计算的有效性,在分析初设方案前池流场特征的基础上提出若干侧向进水前池的整流措施,并通过定量和定性相结合的方法对比分析各整流措施方案,最终优选合适的整流措施,本文所研究的技术路线如图1所示:图1技术路线图（二）数值计算方法基于对三维不可压缩流体的雷诺时均N-S方程和RNG k-ε湍流模型,RNG k-ε湍流模型计算式如式（1）所示,壁面函数采用可伸缩壁面函数处理近壁区流动,采用ANSYSCFX软件对翟山大沟泵站的引河、前池、进水池和潜水泵的流场进行整体数值求解。非结构化网格拥有着很强的自适应几何形体的优点,则引河、前池、进水池和潜水泵均使用非结构化网格剖分,针对流场分析的重点关注区域进行了局部网格加密处理。计算模型的进口边界条件设置为流量,出口边界条件设置为压力,固体壁面采用无滑移壁面处理,引河的平均粗糙度设置为2.5 mm,前池和进水池的壁面粗糙度设置为2 mm。引河、前池和进水池的表面为自由液面,忽略空气对水面产生的切应力和热交换采用对称平面条件,各相连过流建筑物的交界面均采用静静交界面。泵站前池数值计算各物理量的残差收敛精度设置为1×10-6。RANS可以如下进行:（1）k方程可以表示为:（2）ε方程可以定义为:（3）ε方程可以从RANS方程得到。涡流粘度为:μt=ρCμk2/ε（4）常数σκ,σε,C1,C2,＆Cμ是根据软件ANSYS-CFX中基于实验数据在5%

关键词：泵站前池流态数值模拟整流侧向进水

Multipartite symbioses in fungus-growing termites (Blattodea: Termitidae, Macrotermitinae) for the degradation of lignocellulose

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Insect Science 2021年第6期28卷 1512-1529页

作者： farhan Ahmad Gui-Ying Yang Shi-You Liang Qi-Huan Zhou Hassan ahmed Gaal Jian-Chu Mo Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insect Pests Institute of Insect SciencesCollege of Agricultural and BiotechnologyZhejiang UniversityHangzhouChina Entomology Section Central Cotton Research InstituteSakrandShaheed BenazirabadSindhPakistan Department of Entomology Faculty of Veterinary and Animal HusbandrySomali National UniversityMogadishuSomalia

Fungus-growing termites are among the most successful herbivorous animals and improve crop productivity and soil fertility.A range of symbiotic organisms can be found inside their ***,interactions of termites with these symbionts are poorly *** review provides detailed information on the role of multipartite symbioses(between termitophiles,termites,fungi,and bacteria)in fungus-growing termites for lignocellulose *** specific functions of each component in the symbiotic system are also *** on previous studies,we argue that the enzymatic contribution from the host,fungus,and bacteria greatly facilitates the decomposition of complex polysaccharide plant *** host-termitophile interaction protects the termite nest from natural enemies and maintains the stability of the microenvironment inside the colony.

关键词： bacteria enzyme activity lignocellulose degradation Macrotermitinae symbiosis Termitomyces

Levels of antioxidant enzymes and alkaline protease from pulp and peel of sunflower

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Asian Pacific Journal of Tropical Biomedicine 2017年第6期7卷 533-537页

作者： Wesen Adel Mehdi Faridah Yusof Layla O.farhan Atheer Awad Mehde Raha ahmed Raus Department of Chemistry College of Sciences for WomenUniversity of Baghdad Department of Biotechnology Engineering College of EngineeringInternational Islamic University Malaysia Department of Technical Medical Analysis College of Health and Medical TechnologyMiddle Technical University

Objective:The activity of enzymes participating in the systems of antioxidant protection was assayed in the peel and pulp of *** essential roles of proteases in food stimulate research to find other sources of the enzyme especially from non-conventional *** the present work,we study several biochemical parameters in the pulp and peel of ***:Pulp and peel of sunflower was extracted,antioxidant enzymes and nonenzymatic antioxidant were *** protease was measured and purified from pulp in ***:High carbohydrate concentration,beta-carotene,catalase and ascorbate peroxidase activities,free radical scavenging capacity and free flavonoid content were observed in the peel of ***,MDA and ceruloplasmin activities were high in the pulp of ***:The present study concluded that peel in sunflower are strong radical scavengers and can be considered as good sources of natural antioxidants for medicinal and commercial *** analysis showed that protease activity was a significantly high in the pulp compared to the peel.

关键词： Pulp sunflower Antioxidant enzymes Free radical scavenging capacity Free flavonoid content Alkaline protease

Image Encryption Algorithm Based on New Fractional Beta Chaotic Maps

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Computer Modeling in Engineering & Sciences 2022年第7期132卷 119-131页

作者： Rabha W.Ibrahim Hayder Natiq ahmed Alkhayyat Alaa Kadhim farhan Nadia M.G.Al-Saidi Dumitru Baleanu Institute of Electrical and Electronics Engineers Kuala Lumpur59200Malaysia Information Technology College Imam Ja’afar Al-Sadiq UniversityBaghdad10001Iraq Department of Computer Technical Engineering College of Technical EngineeringIslamic UniversityNajaf192122Iraq Department of Computer Sciences University of TechnologyBaghdad10066Iraq Department of Applied Sciences University of TechnologyBaghdad10066Iraq Department of Mathematics Cankaya UniversityBalgatAnkara06530Turkey Institute of Space Sciences Magurele-BucharestR76900Romania Department of Medical Research China Medical UniversityTaichung40402Taiwan

In this study,a new algorithm of fractional beta chaotic maps is proposed to generate chaotic sequences for image *** proposed technique generates multi random sequences by shuffling the image pixel *** technique is used to blur the pixels connecting the input and encrypted images and to increase the attack *** proposed algorithm makes the encryption process sophisticated by using fractional chaotic maps,which hold the properties of *** fractional beta sequences are utilized to alter the image pixels to decryption *** experimental results proved that the proposed image encryption algorithm successfully encrypted and decrypted the images with the same *** output findings indicate that our proposed algorithm has good entropy and low correlation *** translates to enhanced security against different attacks.A MATLAB programming tool was used to implement and assess the image quality measures.A comparison with other image encryption techniques regarding the visual inspection and signal-to-noise ratio is provided.

关键词： Fractional calculus fractional beta function chaotic function image encryption