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2019 International Conference on Applied and Engineering Mathematics (ICAEM)最新文献

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Analysis on the Propulsion of Ionic Wind During Corona Discharge in Various Electrode Configuration with High Voltage Sources 高压源不同电极结构电晕放电时离子风推进特性分析
Pub Date : 2019-08-01 DOI: 10.1109/ICAEM.2019.8853661
Aqib Mehmood, Hassan Jamal
Corona Discharge (CD) in high tension wires is often considered as loss in the form of power loss, insulation failure and audible noise. The present study aims at showing the ability of CD to be used as Ionic Thruster (IT) in an electrode combination. Individual experiments were conducted on each set of electrodes (plate to plate, sphere to sphere, wire to plate & sphere to plate) with three distinct High Voltage (HV) sources (Neon Sign Transformer (NST), Cockcroft Walton Multiplier (CWM) and fly back transformer) to analyze and compare their effect on the ionic wind propulsion. After comparing the developed mathematical models for electric field and mechanical characteristics of 12 combinations of electrodes with HV sources, it highlight that the best geometrical configuration is the wire to plate Dielectric Barrier Discharge (DBD). It allows to induce ionic wind jet with max velocity of 3.75 m/s with potential radius of 176 mm. This article had also fruitful results for future research and development in the field of ionic propulsion, medical treatment of asthma patients and cooling methods for electronic devices.
高压电线中的电晕放电通常被认为是一种损耗,主要表现为功率损耗、绝缘失效和可听噪声。本研究旨在展示CD在电极组合中用作离子推力器(IT)的能力。在每组电极(板对板,球对球,线对板和球对板)上进行单独实验,并使用三种不同的高压(HV)源(霓虹灯变压器(NST), Cockcroft Walton倍增器(CWM)和飞回变压器)来分析和比较它们对离子风推进的影响。通过对已建立的12种高压源电极组合的电场和力学特性数学模型的比较,强调了最佳的几何构型是线-板介质阻挡放电(DBD)。它允许诱导最大速度为3.75 m/s,势半径为176 mm的离子风射流。本文对离子推进、哮喘患者的医疗、电子器件的冷却方法等领域的未来研究和发展也有丰硕的成果。
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引用次数: 5
A Robust Method to Locate License Plates under Diverse Conditions 一种鲁棒的车牌定位方法
Pub Date : 2019-08-01 DOI: 10.1109/ICAEM.2019.8853773
Sheryar Mehmood Awan, S. Khattak, Gul Zameen Khan, Z. Mahmood
Automatic License Plate Detection (ALPD) is a crucial step, which significantly affects the recognition rate and speed of the Intelligent Transport System (ITS). This paper presents a robust license plate detection method using an intelligent combination of Faster R-CNN and image processing operations. In the proposed method, initially, a vehicle is detected in the input colored RGB images using the Faster R-CNN. Next, the image with detected vehicle is fed to our developed License Plate Localization Module (LPLM) to search the possible existence of the license plate. The LPLM converts the detected vehicle image from RGB to the HSV domain and applies color segmentation along with morphological operations, and finally uses the dimensions analysis to locate the license plate. Simulations on the challenging PKU dataset reveal that the proposed technique outperforms recent state-of-the-art methods in terms of detection accuracy, precision, recall, and execution time.
车牌自动检测(ALPD)是影响智能交通系统识别率和速度的关键环节。本文提出了一种基于更快R-CNN和图像处理操作的鲁棒车牌检测方法。在提出的方法中,首先,使用Faster R-CNN在输入的彩色RGB图像中检测车辆。然后,将检测到的车辆图像输入到我们开发的车牌定位模块(LPLM)中,以搜索可能存在的车牌。LPLM将检测到的车辆图像从RGB域转换到HSV域,并结合形态学操作进行颜色分割,最后利用尺寸分析进行车牌定位。在具有挑战性的PKU数据集上的模拟表明,所提出的技术在检测精度、精密度、召回率和执行时间方面优于当前最先进的方法。
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引用次数: 1
Performance of Internal Heat generation on Viscoelastic Nanofluidic Flow past a Heated Variable Riga-Plate 粘弹性纳米流体通过加热的可变Riga-Plate时的内热生成性能
Pub Date : 2019-08-01 DOI: 10.1109/ICAEM.2019.8853745
B. Ahmad, Z. Iqbal, K. M. Abbasi
This flow configuration spotlights to study viscoelastic nanofluidic flow over a vertical Riga plate influenced by mass flux condition. Constitutive laws of motion and energy is employed to formulate the problem. The physical model governs the nonlinear PDE's with suitable boundary conditions. In order to aid computation process, the nonlinear partial differential equations are converted into the system of ordinary differential equations with the help of appropriate group of scaling transformation. Shooting technique is used to get the numerical solution of the dimensionless problem. Velocity, temperature and concentration distribution is explored for various parametric situations. The influences of main parameters are emphasized via graphically.
该流态聚焦于研究受质量通量条件影响的垂直Riga板上的粘弹性纳米流体流动。用运动和能量的本构定律来表述这个问题。物理模型在适当的边界条件下控制非线性偏微分方程。为了方便计算,利用适当的尺度变换组将非线性偏微分方程转化为常微分方程组。采用射击技术对无量纲问题进行数值求解。探讨了不同参数情况下的速度、温度和浓度分布。通过图形强调了主要参数的影响。
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引用次数: 0
Salient Segmentation based Object Detection and Recognition using Hybrid Genetic Transform 基于显著分割的混合遗传变换目标检测与识别
Pub Date : 2019-08-01 DOI: 10.1109/ICAEM.2019.8853834
Abrar Ahmed, A. Jalal, A. Rafique
Object detection and recognition is an effective and fundamental technique used to track the objects accurately in complex scenes. Over the last decade, object analysis has caught the attention of researchers to explore and cover the aspects of object detection and recognition related problems in the technologies such as robotics, surveillance, agriculture, medical and marketing. In this paper, we present a unique method for accurate object recognition. Firstly, the clustering of similar colors and regions is achieved by applying K-mean clustering algorithm. Secondly, segmentation is performed by merging the previously achieved clusters, which are similar and connected. Thirdly, Generalized Hough transform is used for the detection of salient objects. Finally, Genetic algorithm is applied as recognizer engine to recognize the salient objects under different environmental settings. The accuracy of our experimental work has been evaluated on the benchmark dataset MSRC.
目标检测与识别是在复杂场景中准确跟踪目标的一项有效而基础的技术。在过去的十年中,目标分析已经引起了研究人员的关注,它探索和涵盖了机器人、监控、农业、医疗和营销等技术中目标检测和识别相关问题的各个方面。在本文中,我们提出了一种独特的精确目标识别方法。首先,采用k均值聚类算法实现相似颜色和相似区域的聚类;其次,通过合并先前实现的相似且相互连接的聚类来进行分割。第三,采用广义霍夫变换对显著目标进行检测。最后,采用遗传算法作为识别引擎,对不同环境下的显著目标进行识别。我们的实验工作的准确性已经在基准数据集MSRC上进行了评估。
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引用次数: 37
Projection-Based Model Order Reduction for Biochemical Systems 基于投影的生化系统模型降阶
Pub Date : 2019-08-01 DOI: 10.1109/ICAEM.2019.8853743
A. Javed, M. I. Ahmad
Biochemical systems represent a process that involves different biological species linked by a network of chemical reactions. This particular paper focuses on modeling and analysis (computer simulation) of biochemical systems. The problem with mathematical models is, their complexity. Numerical simulation of such complex models is computationally expensive. Model order reduction can be utilized to tackle this issue of complexity by eliminating those parts of a reaction network that do not contribute up to the mark in our parameters of interest. In this paper, we are using an important projection based model reduction technique, called IRKA, for model reduction of biochemical systems. The results of IRKA are compared with lumping, which is a common reduction technique for chemical reactions. It is observed that the approximation error through IRKA is much less as compared to the lumping technique.
生物化学系统是指通过化学反应网络将不同的生物物种联系在一起的过程。这篇特别的论文侧重于生化系统的建模和分析(计算机模拟)。数学模型的问题在于它们的复杂性。这种复杂模型的数值模拟计算成本很高。通过消除反应网络中不符合我们感兴趣的参数的部分,可以利用模型阶数减少来解决这个复杂性问题。在本文中,我们使用一种重要的基于投影的模型约简技术,称为IRKA,用于生化系统的模型约简。将IRKA的结果与集总法进行了比较,集总法是化学反应中常用的还原技术。结果表明,与集总方法相比,IRKA方法的近似误差要小得多。
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引用次数: 1
Design and Testing of Cooling Jacket using Peltier Plate 珀尔帖板冷却夹套的设计与试验
Pub Date : 2019-08-01 DOI: 10.1109/ICAEM.2019.8853654
Muhammad Jahangir, M. Rehman, A. B. Awan, Raja Hamza Ali
With the increasing rate of air pollution in whole world, the duration of summer season is increasing day by day and with the passage of time the daytime temperature is also increasing. Now it is becoming very difficult to work under the sunlight in hot summer days therefore, we proposed an idea of a cooling jacket which consists of peltier plate along with heat sinks and small DC fans, whenever current passes through the Peltier plate it produces cooling and fan circulates the cold air inside the jacket. Solar strip is attached on the upper layer of jacket to power up the system and the peltier current control circuitry is controlled using lilypad arduino. The goal is achieved successfully, maintaining the inside temperature of jacket within the range of 25–30°C with outside temperature around 35–45°C.
随着全球空气污染的加剧,夏季的持续时间日益增加,随着时间的推移,白天的温度也在升高。现在,在炎热的夏天,在阳光下工作变得非常困难,因此,我们提出了一个由珀尔帖板、散热器和小型直流风扇组成的冷却夹克的想法,每当电流通过珀尔帖板时,它就会产生冷却,风扇使夹克内的冷空气循环。在外套的上层附加太阳能条为系统供电,并使用lilypad arduino控制peltier电流控制电路。目标成功实现,将夹套内部温度保持在25-30°C范围内,外部温度保持在35-45°C左右。
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引用次数: 4
Unsupervised Machine Learning for Malicious Network Activities 恶意网络活动的无监督机器学习
Pub Date : 2019-08-01 DOI: 10.1109/ICAEM.2019.8853788
A. Hassan, Shahzaib Tahir, Ahmed Iftikhar Baig
Increase in cybercrimes in the last few years has dramatically increased the need for the network intrusion detection and subsequently its mitigation. Several classified intrusion detection systems (IDS) are currently in use but increase in dynamics of the cyber invasion hunts for more adaptive and intelligent model. This research covers the critical analysis and comparison of the Machine Learning (ML) network intrusion detection techniques, their use cases and proposes an unsupervised and fast ML implementation model for intrusion detection. The proposed model works on anomaly-based detection. ELK stack (Elasticsearch, Logstash and Kibana) has been used for unsupervised implementation model for exodus DNS requests in a wired network
在过去几年中,网络犯罪的增加大大增加了对网络入侵检测和随后的缓解的需求。目前已有几种分类入侵检测系统(IDS)在使用,但越来越多的动态网络入侵搜索需要更具适应性和智能的模型。本研究涵盖了机器学习(ML)网络入侵检测技术及其用例的关键分析和比较,并提出了一种用于入侵检测的无监督和快速ML实现模型。该模型适用于基于异常的检测。ELK堆栈(Elasticsearch, Logstash和Kibana)已被用于有线网络中exodus DNS请求的无监督实现模型
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引用次数: 2
Optical and Thermal Analysis of a Flat Plate Solar Collector Using Water and Alumina Nano Fluids 利用水和氧化铝纳米流体的平板太阳能集热器的光学和热分析
Pub Date : 2019-08-01 DOI: 10.1109/ICAEM.2019.8853749
Muhammad Yasir Hussain, H. Ali, M. Aneeq, K. A. Sheikh, S. Rehman
Increasing energy demands along with the exhaustion of conventional fuel resources, pollution and global warming governed the use of renewable energy resources. Solar energy is very commonly used because of the ease of availability, sustainable properties and having very less impact on the environment. To convert solar energy into thermal energy, FPCs are extensively used due to compatibility with small and medium size applications but they are found to be less efficient. To increase solar collector's performance Nano fluids can be used. So, in this work, optical and thermal analysis of a FPC was done numerically, by using water and alumina nano fluids for the weather conditions of Taxila, Pakistan. It is observed that the use of Nano fluids in FPC improves the useful heat gain and efficiency as compared to water.
随着传统燃料资源的枯竭,能源需求的增加,污染和全球变暖制约着可再生能源的使用。由于易于获得、可持续发展和对环境影响很小,太阳能被广泛使用。为了将太阳能转化为热能,fpc由于兼容中小型应用而被广泛使用,但它们的效率较低。为了提高太阳能集热器的性能,可以使用纳米流体。因此,在这项工作中,通过使用水和氧化铝纳米流体对巴基斯坦塔克西拉的天气条件进行了FPC的光学和热数值分析。与水相比,纳米流体在FPC中的使用提高了有效热增益和效率。
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引用次数: 2
Hydromagnetic steady flow of a micro polar nano fluid impinging obliquely over a stretching surface with Newtonian heating 微极性纳米流体在牛顿加热下斜撞击拉伸表面的磁稳流
Pub Date : 2019-08-01 DOI: 10.1109/ICAEM.2019.8853716
S. Rana, R. Mehmood
Main objective of this study is to numerically discuss influence of magnetic field on an obliquely conspicuous micropolar fluid in the presence of nano particles and Newtonian heating. Thermophoretic and Brownian motion of nano particles are considered. The governing equations of the problem are converted to a system of coupled nonlinear ODEs by using appropriate similarity conversions, which are then solved computationally. The effects of flow governing parameters on velocity, temperature and concentration profiles are presented graphically. The numerical values of local skin friction co-efficient, heat and mass transfer rates are also discussed graphically.
本研究的主要目的是数值讨论在纳米粒子和牛顿加热存在的情况下,磁场对斜显微极流体的影响。考虑了纳米粒子的热泳动和布朗运动。通过适当的相似性转换,将问题的控制方程转化为耦合非线性微分方程系统,然后进行计算求解。给出了流动控制参数对速度、温度和浓度分布的影响。文中还讨论了局部表面摩擦系数、传热传质率的数值。
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引用次数: 1
Indoor Positioning and Tracking using Sensors of a Smart Device 基于智能设备传感器的室内定位与跟踪
Pub Date : 2019-08-01 DOI: 10.1109/ICAEM.2019.8853812
A. Farooq, S. Kamal
Global positioning system (GPS) tracks a desired location and display it on map. However, GPS may not work properly for indoor positioning, when we are concerned with an accurate location of a person inside a building. Therefore, to determine an accurate indoor positioning based on smart devices a scheme is proposed and called iLocation. iLocation measures the location by obtaining and computing values from an accelerometer and a barometer of a smart device. iLocation uses MySQL to maintain records of the computed indoor positions. Such positions are displayed on Google Maps with its images for the verification. iLocation is tested on various real time scenarios and experimental results shows the accuracy, which is better than other existing approaches.
全球定位系统(GPS)跟踪一个想要的位置并显示在地图上。然而,当我们关心建筑物内人员的准确位置时,GPS可能不适用于室内定位。因此,为了确定基于智能设备的准确室内定位,提出了一种方案,称为iLocation。iLocation通过获取和计算智能设备的加速度计和气压计的值来测量位置。iLocation使用MySQL来维护计算出的室内位置的记录。这些位置显示在谷歌Maps及其图像上以供验证。在各种实时场景下进行了定位测试,实验结果表明该方法的准确性优于现有的方法。
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引用次数: 4
期刊
2019 International Conference on Applied and Engineering Mathematics (ICAEM)
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