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Automatic Unusual Activities Recognition Using Deep Learning in Academia

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Computers, Materials & Continua 2022年第1期70卷 1829-1844页

作者： Muhammad Ramzan Adnan Abid shahid mahmood Awan School of Systems and Technology University of Management and TechnologyLahore54782Pakistan Department of Computer Science and Information Technology University of SargodhaSargodha40100Pakistan School of Electronics Computing and MathematicsUniversity of DerbyDerbyUnited Kingdom

In the current era,automatic surveillance has become an active research problem due to its vast real-world applications,particularly for maintaining law and order.A continuous manual monitoring of human activities is a tedious *** use of cameras and automatic detection of unusual surveillance activity has been growing exponentially over the last few *** computer vision techniques have been applied for observation and surveillance of real-world *** research study focuses on detecting and recognizing unusual activities in an academic situation such as examinationhalls,which may help the invigilators observe and restrict the students from cheating or using *** the best of our knowledge,this is the first research work in this area that develops a dataset for unusual activities in the examination and proposes a deep learning model to detect those unusual *** proposed model has been named Automatic Unusual Activity Recognition(AUAR),which employsmotion-based frame extraction approaches to extract key-frames and then applies advanced deep learning Convolutional Neural Network algorithm with diverse *** evaluation using standard performancemeasures confirmthat theAUARmodel outperforms the already proposed approaches for unusual activity *** from evaluating the proposed model on the examination dataset,we also apply AUAR on Violent and Movies datasets,widely used in the relevant literature to detect suspicious *** results reveal that AUAR performs well on various data sets compared to existing state-of-the-art models.

关键词： Deep learning unusual activities examination CNN surveillance human activity recognition

NEW SUBCLASS OF ANALYTIC FUNCTIONS IN CONICAL DOMAIN ASSOCIATED WITH A LINEAR OPERATOR

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Acta Mathematica Scientia 2016年第3期36卷 704-716页

作者： Muhammed ARIF shahid mahmood Janusz SOKOL Jacek DZIOK Department of Mathematics Abdulwali Khan University Mardan Department of Mathematics Rzeszów University of Technology Institute of Mathematics University of Rzeszów

The main object of the present paper is to investigate a number of useful properties such as inclusion relations, distortion bounds, coefficient estimates, subordination results, the Fekete-Szego problem and some other for a new subclass of analytic functions, which are defined here by means of linear operator. Relevant connections of the results presented here with those obtained in earlier works are also pointed out.

关键词： analytie functions subordination functions with positive real part linear operators conic domains

Computational Fluid Dynamics Based Bulbous Bow Optimization Using a Genetic Algorithm

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Journal of Marine Science and Application 2012年第3期11卷 286-294页

作者： shahid mahmood Debo Huang Multihull Ship Technology Key Laboratory of Fundamental Science for National DefenceHarbin Engineering UniversityHarbin 150001China

Computational fluid dynamics （CFD） plays a major role in predicting the flow behavior of a ship. With the development of fast computers and robust CFD software, CFD has become an important tool for designers and engineers in the ship industry. In this paper, the hull form of a ship was optimized for total resistance using CFD as a calculation tool and a genetic algorithm as an optimization tool. CFD based optimization consists of major steps involving automatic generation of geometry based on design parameters, automatic generation of mesh, automatic analysis of fluid flow to calculate the required objective/cost function, and finally an optimization tool to evaluate the cost for optimization. In this paper, integration of a genetic algorithm program, written in MATLAB, was carried out with the geometry and meshing software GAMBIT and CFD analysis software FLUENT. Different geometries of additive bulbous bow were incorporated in the original hull based on design parameters. These design variables were optimized to achieve a minimum cost function of ＂total resistance＂. Integration of a genetic algorithm with CFD tools proves to be effective for hull form ootimization.

关键词： bulbous bow genetic algorithm computational fluid dynamics (CFD) total resistance

Image Fusion Using Wavelet Transformation and XGboost Algorithm

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Computers, Materials & Continua 2024年第4期79卷 801-817页

作者： shahid Naseem Tariq mahmood Amjad Rehman Khan Umer Farooq Samra Nawazish Faten S.Alamri Tanzila Saba Department of Information Sciences Division of S&TUniversity of EducationLahore54770Pakistan Artificial Intelligence and Data Analytics(AIDA)Lab CCIS Prince Sultan UniversityRiyadh11586Saudi Arabia Faculty of Information Sciences University of EducationVehari CampusVehari61100Pakistan Department of Computer Science University of Engineering and TechnologyTaxila47050Pakistan Department of Mathematical Sciences College of SciencePrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia

Recently,there have been several uses for digital image *** fusion has become a prominent application in the domain of imaging *** create one final image that provesmore informative and helpful compared to the original input images,image fusion merges two or more initial images of the same *** fusion aims to produce,enhance,and transform significant elements of the source images into combined images for the sake of human visual *** fusion is commonly employed for feature extraction in smart robots,clinical imaging,audiovisual camera integration,manufacturing process monitoring,electronic circuit design,advanced device diagnostics,and intelligent assembly line robots,with image quality varying depending on *** research paper presents various methods for merging images in spatial and frequency domains,including a blend of stable and curvelet transformations,everageMax-Min,weighted principal component analysis(PCA),HIS(Hue,Intensity,Saturation),wavelet transform,discrete cosine transform(DCT),dual-tree Complex Wavelet Transform(CWT),and multiple wavelet *** fusion methods integrate data from several source images of an identical target,thereby enhancing information in an extremely efficient *** precisely,in imaging techniques,the depth of field constraint precludes images from focusing on every object,leading to the exclusion of certain *** tackle thess challanges,a very efficient multi-focus wavelet decomposition and recompositionmethod is *** use of these wavelet decomposition and recomposition techniques enables this method to make use of existing optimized wavelet code and filter *** simulated outcomes provide evidence that the suggested approach initially extracts particular characteristics from images in order to accurately reflect the level of clarity portrayed in the original *** study enhances the performance of the eXtreme Gradient Boosting(XGBoos

关键词： Image fusion max-min average CWT XGBoost DCT inclusive innovations spatial and frequency domain

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基于核稀疏表示的先验信息辅助分类

基于核稀疏表示的先验信息辅助分类

作者：马赫（shahid mahmood）北京邮电大学

学位级别：硕士

稀疏表示在计算机视觉、信号处理、模式识别、图像处理等领域,特别是在人脸识别领域,引起了广泛的关注。稀疏表示的基本原理是用尽可能少的原子在超完备字典中描述一个信号,它具有区分性,在理论和实际应用中都有较好的声誉。随着人工智... 详细信息

稀疏表示在计算机视觉、信号处理、模式识别、图像处理等领域,特别是在人脸识别领域,引起了广泛的关注。稀疏表示的基本原理是用尽可能少的原子在超完备字典中描述一个信号,它具有区分性,在理论和实际应用中都有较好的声誉。随着人工智能在现实生活中的应用越来越广泛,对快速、可靠的机器学习算法,特别是分类和目标识别算法的需求也越来越大。为此,稀疏表示分类（SRC）是最近提出的一种基于稀疏表示理论的分类方法。由于稀疏表示的区别性,SRC相对于其他著名的分类方法表现出了令人印象深刻的分类性能。在SRC算法中,由于其简单性和低时间复杂度,通常采用贪婪的方法,如正交匹配追踪（OMP）来获得稀疏解。为了获得更精确的稀疏表示,我们利用数据中代表有利模式的先验信息。此先验信息基于支持概率。这样的先验信息表示元素在稀疏向量的某一特定位置的概率为非零。然而,有时先验信息可能不准确,这可能会影响性能。通过解决先验信息不准确的问题,可以进一步提高分类精度。为了获得更精确的稀疏表示,我们利用数据中代表有利模式的先验信息。此先验信息基于支持概率。这样的先验信息表示元素在稀疏向量的某一特定位置的概率为非零。然而,有时先验信息可能不准确,这可能会影响性能。通过解决先验信息不准确的问题,可以进一步提高分类精度。本文提出了基于联合判断的logit加权核正交匹配追踪（LWKOMP-J）算法,它是对已有的基于联合判断的logit加权核正交匹配追踪（LWOMP-J）算法的扩展。LWKOMP-J算法的目标是处理高维空间中不正确的先验信息,而LWOMP-J算法的目标是处理低维空间中不正确的先验信息。该算法首先利用RBF核函数将数据从低维空间映射到高维空间,使分类更加容易。然后在高维空间中,在计算字典原子与电流残差的相关性时,将先验信息作为加法项相加。然而,有时我们先前使用的信息也可能不准确。在LWKOMP-J算法中,为了减少不准确先验信息的负面影响,采用特定的判断机制来实现支持集相关性与先验信息的一致性。实验结果表明,与现有的LWOMP-J算法相比,该算法具有更好的分类性能。此外,为了进一步提高识别率,我们将第一种方案扩展为两阶段方案,并证明了该算法的有效性。基于稀疏表示的两阶段分类（TPSRC）主要由两个识别阶段组成,其中正则化权值在第一阶段开始,在下一阶段更新,以提高识别率。这种提高识别率的原因是TPSRC方案不仅强调最小化测试样本和投影向量之间的l2-norm,而且还强调最小化从该投影向量到训练样本之间的l2-norm。实验结果还表明,本文提出的TPSRC算法性能优于单阶段算法。

关键词：稀疏表示先验信息核函数基于稀疏表示的分类

Web GIS-Based Temporal Analysis of Climatic Factors Impacting Heat Stroke in Karachi

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Journal of Geographic Information System 2024年第1期16卷 61-69页

作者： Ali Atif Mahnoor Rehman Muhammad Butt Syed mahmood shahid Ghazi Rashid Mehmood Department of Management Victoria University Sydney Australia Department of Geography Government College University Lahore Pakistan Department of Space Science University of the Punjab Lahore Pakistan Centre of Geographic Information System University of The Punjab Lahore Pakistan

This study focuses on the impact of climate change, specifically the increasing threat of heatwaves, in Pakistan, with a particular emphasis on the city of Karachi. The Pakistan Meteorological Department (PMD) analysed a century of climatic data to reveal warming trends, attributing them to human-induced factors. The vulnerability of Pakistan to climate change is highlighted, given its warm climate and location in a region where temperature increases are expected to surpass global averages. The study examines the past three decades, noting a significant rise in the frequency of hot days, especially in Karachi, where heatwaves have become more prevalent. The aims and objectives of the study involve identifying temporal changes in temperature, rainfall, humidity, and wind speed from 1984 to 2014 in Karachi. The literature review emphasizes the health implications of heatwaves, citing increased mortality during such events globally. The study incorporates a comprehensive temporal analysis, addressing gaps in previous research by considering multiple climate indicators responsible for heatwaves. The methodology involves statistical analyses, including linear regression and Pearson correlation, applied to temperature data and urbanization parameters. Results indicate an increasing trend in heat index temperature, with heatwave vulnerability peaking in the last three decades. Heat Index Temperature Anomalies show a clear surge, emphasizing the need for new indices to control critical heat stress conditions. The study concludes that tropical climate variability, particularly heat index, is linked to extreme hot days, urging measures to reduce population vulnerability. The findings underscore the importance of policy strategies, such as integrated coastal zone management, to mitigate the adverse health effects of heatwaves in Karachi’s vulnerable population.

关键词： IPCC Heat Wave Heat Index PMD

Numerical investigation of supercontinuum generation and optical frequency combs in Si N-based PCF with high nonlinear coefficient

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Optoelectronics Letters 2024年第3期20卷 163-170页

作者： Mohammad Reza Alizadeh mahmood Seifouri Saeed Olyaee Faculty of Electrical Engineering Shahid Rajaee Teacher Training UniversityTehranIran Nano-photonics and Optoelectronics Research Laboratory(NORLab) Shahid Rajaee Teacher Training UniversityTehranIran

In this paper, a photonic crystal fiber(PCF) with a dispersion-engineered and high nonlinear coefficient has been designed for supercontinuum generation(SCG) and frequency comb generation(FCG). The proposed PCF has a Si_(3)N_(4) rod in the core. This rod provides more optical confinement in the core by increasing the refractive index of the core. This high confinement reduces the effective mode area of PCF and thus increases the nonlinear coefficient.

关键词： optical fiber nonlinear

空腹式T形钢骨混凝土异形柱双向小偏心受压有限元分析

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空腹式T形钢骨混凝土异形柱双向小偏心受压有限元分析

爆炸作用下L形蜂窝钢骨混凝土异形柱抗爆性能研究

第十七届沈阳科学学术年会

作者：许文垚周航 mahmood shahid 徐亚丰沈阳建筑大学土木工程学院

为研究空腹式T型钢骨混凝土在双向偏心荷载作用下极限承载力以及受力性能,本文使用大型有限元软件ABAQUS,通过改变含骨率以及偏心距对实验模型进行研究。通过模拟实验,明确了试件、混凝土、钢骨、钢筋在破坏时的特征,并分析提取了试件... 详细信息

为研究空腹式T型钢骨混凝土在双向偏心荷载作用下极限承载力以及受力性能,本文使用大型有限元软件ABAQUS,通过改变含骨率以及偏心距对实验模型进行研究。通过模拟实验,明确了试件、混凝土、钢骨、钢筋在破坏时的特征,并分析提取了试件的荷载-纵向位移曲线以及荷载-挠度曲线。结果显示,偏心距越大,试件的承载力有所下降,挠曲变形有所增加。含骨率越高,试件的承载力有所提升,挠曲变形增加。

关键词：空腹式 T型钢骨混凝土双向偏心受压有限元分析

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爆炸作用下L形蜂窝钢骨混凝土异形柱抗爆性能研究