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2022 Muthanna International Conference on Engineering Science and Technology (MICEST)最新文献

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Influence of Adding Nano Particles on Dissipation Factor and Volume Resistivity of Polymer 纳米粒子加入对聚合物耗散系数和体积电阻率的影响
Pub Date : 2022-03-16 DOI: 10.1109/micest54286.2022.9790233
Nabil Rubaian, A. Al-Arainy
Nowadays the polymeric insulators with Nano fillers have a lot of attention of researchers and developers. Inorganic Nano-fillers are added to the polymer to improve some insulation properties. In the present work, the dissipation factor and volume resistivity of liner low-density polyethylene (LLDPE 324CN)-based SiO2 and Al2O3 Nano fillers were investigated. The two nanomaterials (SiO2, Al2O3) were separately added to the polymer with different concentrations (0.5%, 1.5%, 3%, 6%). Also the mixture of the two nanomaterials was also added together to the polymer. Based on the experimental measurements, it is found that the addition of inorganic Nano fillers on the polymer can improve the dissipation factor and volume resistivity. At 6% of SiO2, the volume resistivity can exceed three times that of unfilled polymer while. 6% of AL2O3 increases by more than 34% compared with unfiled polymer.
纳米填料聚合物绝缘体是目前研究和开发的热点。在聚合物中加入无机纳米填料以改善某些绝缘性能。本文研究了内衬低密度聚乙烯(LLDPE 324CN)基SiO2和Al2O3纳米填料的耗散系数和体积电阻率。将两种纳米材料(SiO2、Al2O3)分别以不同的浓度(0.5%、1.5%、3%、6%)添加到聚合物中。两种纳米材料的混合物也被加入到聚合物中。实验结果表明,无机纳米填料的加入可以提高聚合物的耗散系数和体积电阻率。当SiO2含量为6%时,聚合物的体积电阻率可超过未填充聚合物的3倍;6%的AL2O3与未加工的聚合物相比提高了34%以上。
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引用次数: 1
A hybrid feature selection technique using chi-square with genetic algorithm 基于卡方和遗传算法的混合特征选择技术
Pub Date : 2022-03-16 DOI: 10.1109/MICEST54286.2022.9790277
Ammar Ismael Kadhim, Ahmed Ayad Abdalhameed
A huge amount of information is available in different fields like information technology and computer science. A new hybrid feature selection technique via using chi-square with genetic algorithm (GA). An automatic text categorization mechanism was required to identify whether the text is going to a specific category or not. Thus, this technique is used to select the importance and unimportance features via developing the training model. For the existing GA-based, terms and documents are used together as features in the training model and obtain the perfect weights for the features. To evaluate the efficiency of document categorization techniques on the suggested approach, experiments results are conducted utilizing the Naïve Bayes (NB) and C4.5 decision tree classifiers based on two different datasets (BBC sport and BBC news datasets) collection for text categorization. From the empirical findings, it can observed that the hybrid technique can allow to obtain high categorization efficiency depend on the performance evaluation metrics accuracy, precision, recall and F1-score.
在信息技术和计算机科学等不同领域,可以获得大量的信息。一种基于卡方和遗传算法的混合特征选择方法。需要一个自动文本分类机制来识别文本是否要进入特定的类别。因此,该技术通过开发训练模型来选择重要和不重要的特征。对于现有的基于ga的训练模型,将术语和文档作为训练模型的特征,并获得特征的完美权值。为了评估文档分类技术在该方法上的效率,利用Naïve贝叶斯(NB)和C4.5决策树分类器基于两个不同的数据集(BBC体育和BBC新闻数据集)进行文本分类的实验结果。从实证结果可以看出,混合技术可以获得较高的分类效率,这取决于性能评估指标准确率、精密度、召回率和f1分数。
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引用次数: 1
Enhanced Semantic Segmentation of Aerial images with Spatial Smoothness Using CRF Model 基于CRF模型的空域平滑航空图像语义分割
Pub Date : 2022-03-16 DOI: 10.1109/MICEST54286.2022.9790187
S. Hussein, Khawla H. Ali
This paper addresses a deep learning method for high-resolution semantic segmentation in aerial images. U-net architecture promises end-to-end learning from basic ideas, making hand feature design deserted. However, the problem is gradually collecting information over larger image regions, making separating donations from different pixels. To solve this problem, the proposed training strategy is based on U-net, which contains two parts: contraction and expansion to segment foreground and background pixels. In addition, the significance of conditional random field (CRF) is applied to improve the accuracy of semantic segmentation. The proposed algorithm was evaluated on the Semantic segmentation of aerial imagery (Satellite images of Dubai) dataset, containing six common resources Land, Building, Road, Vegetation, Water, Unlabeled. The experimental findings reveal that the suggested approach outperforms other algorithms by achieving 0.99 accuracies and loss function 0.58.
本文研究了一种用于航空图像高分辨率语义分割的深度学习方法。U-net架构承诺从基本思想中进行端到端学习,使手工特征设计被抛弃。然而,问题是在更大的图像区域逐渐收集信息,从不同的像素中分离捐赠。为了解决这一问题,提出了一种基于U-net的训练策略,该策略包括两个部分:收缩和扩展,以分割前景和背景像素。此外,还利用条件随机场(CRF)的显著性来提高语义分割的准确性。在包含土地、建筑、道路、植被、水、未标记六种常见资源的航拍图像(迪拜卫星图像)数据集上对所提出的算法进行了语义分割评估。实验结果表明,该方法的准确率为0.99,损失函数为0.58,优于其他算法。
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引用次数: 1
Multi-Security System Based on Fingerprint Biometric Sensor and Wi-Fi Camera 基于指纹生物传感器和Wi-Fi摄像头的多重安全系统
Pub Date : 2022-03-16 DOI: 10.1109/micest54286.2022.9790226
Mohammed Alaa Yousif Ali, E. A. Hussein, D. M. Abdulsahib
Due to the importance of security systems in our practice and daily lives for protecting companies, homes and other public and private facilities. In the last few years, these systems have received great attention from developers and researchers with the advancement of modern technology and the development of smart processing units and microelectronic units. Where an Internet of Things subscription constitutes a breakthrough in the world of communications and modern technology. Due to the correct use of mobile Internet networks like 4G or 5G, or fixed networks with a limited signal like LAN or Wi-Fi. While implementations of a unified security system adequately represent a waste of the resource's memory, network bandwidth, it is characterized by as well as real-time data processing and, to avoid software that takes time and cost to the processing. This specific proposal will adequately provide a multi-protection security system improperly using a fingerprint sensor, a Wi-Fi camera, Arduino micro controller board R3, in addition to the effective use of electric locks to properly enter used people from the principal doors through a unified security system via the Internet of Things. Finally, the proposed system properly administers and detects unauthorized persons and preventing them from authorized entry and detecting them when repeated attempts to enter.
由于安防系统在我们的实践和日常生活中对于保护公司、家庭和其他公共和私人设施的重要性。在过去的几年里,随着现代技术的进步和智能处理单元和微电子单元的发展,这些系统受到了开发人员和研究人员的极大关注。物联网订阅构成了通信和现代技术领域的突破。由于正确使用4G或5G等移动互联网,或LAN或Wi-Fi等信号有限的固定网络。虽然统一安全系统的实现充分代表了资源内存和网络带宽的浪费,但它的特点是以及实时数据处理和避免软件花费时间和成本来处理。这个具体的提案将充分提供一个多重保护的安全系统,不正确地使用指纹传感器,Wi-Fi摄像头,Arduino微控制器板R3,除了有效地使用电锁,通过物联网通过统一的安全系统从主门正确进入使用的人。最后,该系统对未经授权的人员进行了适当的管理和检测,并阻止了他们的授权进入,并在多次尝试进入时进行了检测。
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引用次数: 2
Communication Networks 通信网络
Pub Date : 2022-03-16 DOI: 10.1109/micest54286.2022.9790165
S. Ameen
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引用次数: 0
Brain Tumor Segmentation Utilizing Thresholding and K-Means Clustering 基于阈值分割和k均值聚类的脑肿瘤分割
Pub Date : 2022-03-16 DOI: 10.1109/MICEST54286.2022.9790103
Rasha Khilkhal, Mustafa R. Ismael
The segmentation of brain tumors utilizing magnetic resonance imaging (MRI) is a critical step in medical image processing. This results from the valuable information obtained from MRI images that help the radiologist in brain diagnosis. Consequently, many researchers have suggested different methods to address the problem of tumor segmentation in brain MRI images. This paper proposes a brain tumor segmentation algorithm based on k-means clustering, thresholding, and morphological operations. First, K-means clusters the MRI slice into three segments, then a thresholding step converts the segmented image to black and white to separate the tumor from the non-tumor regions. K-means is utilized here as an intermediate step before thresholding to enhance the performance of the segmentation process. On the other hand, non-brain tissue is removed utilizing morphological operations. Four morphological operations have demonstrated significant improvements in the process suggested in this method, erosion, dilation, closing, and opening. The experiments were implemented on BRATS datasets utilizing high-grade (HGG) and low-grade (LGG) images. The results obtained from the simulated experiments demonstrated the powerful achievements of the suggested algorithm in terms of Dice, Jaccard, and F1 score. Furthermore, the suggested method outperforms a few other techniques when applied to the same images.
利用磁共振成像(MRI)对脑肿瘤进行分割是医学图像处理的关键步骤。这源于从MRI图像中获得的有价值的信息,这些信息有助于放射科医生进行脑部诊断。因此,许多研究者提出了不同的方法来解决脑MRI图像中的肿瘤分割问题。提出了一种基于k均值聚类、阈值分割和形态学操作的脑肿瘤分割算法。首先,K-means将MRI切片聚类为三段,然后阈值步骤将分割后的图像转换为黑白图像,将肿瘤区域与非肿瘤区域分开。这里使用K-means作为阈值分割之前的中间步骤,以提高分割过程的性能。另一方面,利用形态学手术去除非脑组织。在此方法中,侵蚀、扩张、闭合和打开四种形态学操作均有显著改善。实验在BRATS数据集上进行,使用高等级(HGG)和低等级(LGG)图像。模拟实验结果表明,本文提出的算法在骰子、Jaccard和F1得分方面取得了强大的成就。此外,当应用于相同的图像时,建议的方法优于其他一些技术。
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引用次数: 2
Study about the Ability to Secure Websites using Blockchain 研究使用区块链保护网站的能力
Pub Date : 2022-03-16 DOI: 10.1109/MICEST54286.2022.9790130
Mustafa Hussein, Mohannad M. Al-Yasiry
Over the years, the web has evolved from simple text content from one server to a complex ecosystem with different types of content from servers spread across several administrative domains. There is anecdotal evidence of users being frustrated with attempts to hack websites and steal accounts, money, ideas, or data from photos or documents. wherefore, websites need new techniques to increase security, reduce fraud, and reduce the risk of single point of failure. All these features can be found in Blockchain. Therefore, there is a need to propose a (refined) method as a countermeasure that keeps track of existing attacks. A framework is proposed for using blockchain as a technology to secure websites based on blockchain platform using steps: preparation, extraction, blockchain building, blockchain integration, and framework validation the results came in the form of a comparison table that helped us identify the main problem and the research path and we can get results by avoiding more than 80% of these attacks on websites.
多年来,web已经从一台服务器上的简单文本内容演变为一个复杂的生态系统,其中来自多个管理域的服务器上的不同类型的内容。有轶事证据表明,用户在试图入侵网站、窃取账户、金钱、想法或照片或文件中的数据时感到沮丧。因此,网站需要新的技术来提高安全性,减少欺诈,降低单点故障的风险。所有这些特性都可以在区块链中找到。因此,有必要提出一种(改进的)方法,作为跟踪现有攻击的对策。本文提出了一个框架,利用区块链作为一种基于区块链平台的技术,通过准备、提取、区块链构建、区块链集成和框架验证的步骤来实现网站安全,结果以比较表的形式出现,帮助我们确定了主要问题和研究路径,我们可以通过避免80%以上的网站攻击来获得结果。
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引用次数: 0
The Effect Of Atrium Retrofit Design On Natural Ventilation For Hot Arid Climate 炎热干旱气候下中庭改造设计对自然通风的影响
Pub Date : 2022-03-16 DOI: 10.1109/MICEST54286.2022.9790263
Mohammed Hazim ALShaker, S. A. Hassan
Past decades had witnessed many attempts to improve natural ventilation in buildings to reduce the energy consumption for cooling purpose, and enhance air quality for promote public health, thus by studying the environmental characteristics as well as the passive design strategies of buildings, the atrium is one of the design elements that can be environmentally improved to enhance natural ventilation in buildings, as shown by previous studies, it has different effects on the formation of air flow inside the building, there is a research gap in the study of the characteristics of the atrium retrofit design and its importance in promoting natural ventilation inside public buildings in hot arid climate, which represented the research problem. The atrium in the Ishtar Sheraton Hotel in Baghdad was studied; with propose different design solutions to the retrofit atrium ceiling and comparing their different effects on the natural ventilation. The results showed that the change in the shape and height of the ceiling of the central space increased the speed of air flow inside the space.
在过去的几十年里,人们尝试改善建筑物的自然通风,以减少冷却的能源消耗,改善空气质量,促进公众健康,因此,通过研究建筑物的环境特征和被动式设计策略,中庭是可以通过环境改善来增强建筑物自然通风的设计元素之一,如以往的研究所示。它对建筑内部气流的形成有不同的影响,在炎热干旱气候下,中庭改造设计的特点及其对促进公共建筑内部自然通风的重要性的研究存在研究空白,这代表了研究问题。我们研究了巴格达Ishtar Sheraton酒店的中庭;对中庭吊顶的改造提出了不同的设计方案,并比较了它们对自然通风的不同影响。结果表明,中央空间吊顶的形状和高度的变化增加了空间内的气流速度。
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引用次数: 0
Design a Photonic Crystal iber for Zinc-Cadmium Detecting Using Comsol Multiphysics 利用Comsol多物理场设计用于锌镉检测的光子晶体光纤
Pub Date : 2022-03-16 DOI: 10.1109/micest54286.2022.9790223
Omer S. Hassan, B. Mahdi, R. Al-azawi, S. R. Tahhan
In this study, a sensor application based on the Mach-Zehnder modal interferometer MZI were employed to detect changes in the concentration values of heavy metals (zinc, cadmium). The Mach-Zehnder modal interferometer was used in all three applications. The basic structure of the sensor was implemented by the use of fusion splice PCF with a 2 cm length between two (SMF-25). At the fusion splice location, the air holes were completely compressed, allowing the core and cladding modes to be coupled and recombined with one another. The sensor immersed in a solution at different concentration levels of ranges (1-3,5,7-9) %. The Comsol Multiphysics (5.4v) program, was used to design the Photonic crystal fiber and test it with different concentrations of a mixture of zinc and cadmium. The sensitivity obtained was (78.02%).
本研究采用基于Mach-Zehnder模态干涉仪MZI的传感器应用,检测重金属(锌、镉)的浓度值变化。在这三种应用中都使用了马赫-曾德尔模态干涉仪。传感器的基本结构是采用长度为2 cm的融合拼接PCF (SMF-25)实现的。在熔接位置,空气孔被完全压缩,允许芯和包层模式相互耦合和重新组合。将传感器浸入不同浓度(1-3,5,7-9)%的溶液中。使用Comsol Multiphysics (5.4v)程序设计光子晶体光纤,并在不同浓度的锌和镉混合物中对其进行测试。灵敏度为78.02%。
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引用次数: 0
Simulations and Flight Test of AR. Drone Quadrotor using Lab VIEW 基于Lab VIEW的AR无人机四旋翼仿真与飞行试验
Pub Date : 2022-03-16 DOI: 10.1109/MICEST54286.2022.9790231
F. Raheemah, M. Hussein
Quadrotors are unmanned aerial vehicles capable of vertical takeoff, hovering, and landing. The quadrotor is distinguished by its small size, flexibility, and maneuverability. The small sensors and actuators used in these systems are effective enough in comparison with the larger systems. Quadrotor dynamic modeling was derived using the Newton-Euler formalization including aerodynamic effects. Also, a dynamic model has been identified that accurately describes the behavior of the quadrotor and can be applied to comparable configurations of multiengine aerial vehicles. The dynamic model and controllers (where used PID controller) established on the quadrotor. That are considered to be a trustworthy foundation for further complex applications. as well, this article outlines the technique of identifying and controlling a Parrot AR. Drone in a closed loop. The goal of the research is to establish position control movement of quadrotor (AR. Drone) by using the program LabVIEW. Here, the quadrotor will be controlled in two ways by using the joystick and the use of the keyboard. AR. Drone has been shaped in the hover path. The simulation results showed the correct path tracking and the success of the proposed controller unit by using MATLAB/SIMULINK. While the laboratory results showed the efficiency of using the LabView program in controlling this type of quadrotor.
四旋翼飞行器是一种能够垂直起飞、悬停和着陆的无人驾驶飞行器。四旋翼飞行器的特点是体积小、灵活、机动性强。与大型系统相比,这些系统中使用的小型传感器和执行器足够有效。采用牛顿-欧拉形式化方法建立了包含气动效应的四旋翼动力学模型。此外,已经确定了一个动态模型,准确地描述了四旋翼飞行器的行为,可以应用于多引擎飞行器的可比配置。在四旋翼飞行器上建立了动力学模型和控制器(其中采用PID控制器)。它们被认为是进一步复杂应用程序的可靠基础。此外,本文还概述了在闭环中识别和控制鹦鹉AR无人机的技术。研究的目的是利用LabVIEW程序建立四旋翼无人机的位置控制运动。在这里,四旋翼将通过使用操纵杆和键盘的使用两种方式进行控制。增强现实:无人机在悬停路径上被塑造。利用MATLAB/SIMULINK进行了仿真,结果表明所设计的控制单元路径跟踪正确,控制效果良好。而实验结果表明,使用LabView程序控制这种类型的四旋翼飞行器的效率。
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引用次数: 0
期刊
2022 Muthanna International Conference on Engineering Science and Technology (MICEST)
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