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

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Social Media Apps Controls Communication Devices Based on IoT 社交媒体应用程序控制基于物联网的通信设备
Pub Date : 2022-03-16 DOI: 10.1109/MICEST54286.2022.9790160
Asaad S. Daghal, Ali. F. Athab, Ghufran M. Hatem
In this paper, a system for monitoring and controlling the operation of communication devices with low cost using a Telegram message based on the internet of things (IoT) is proposed and implemented. The ESP8266 Wi-fi module is working to connect the webserver gateway with the temperature sensor and remote-control system to turn on and off the devices. Then the temperature data is stored in the database of the server with information about the environmental conditions of the devices in the format real-time on the Android screen. The system alert will be sent to the responsible person if the temperature exceeds the permissible limit, which is the time required for transmission System alerts using the Telegram messenger, which takes about 6 to 7 seconds. The system also can self-start the cooling devices according to pre-programming or remote control using the application (Telegram or WhatsApp). The prototype is carried out using two high voltage relays, Arduino NodeMcu, and a temperature sensor. The outcomes obtained through the experiment process via the telegram messages have shown effective results.
本文提出并实现了一种基于物联网(IoT)的低成本通信设备运行监控系统。ESP8266 Wi-fi模块将网络服务器网关与温度传感器和远程控制系统连接起来,以打开和关闭设备。然后将温度数据以Android屏幕上实时的格式与设备的环境状况信息一起存储在服务器的数据库中。如果温度超过允许的限度,系统警报将发送给负责人,这是使用电报信使传输系统警报所需的时间,大约需要6到7秒。系统还可以根据预编程或使用应用程序(Telegram或WhatsApp)远程控制自动启动冷却装置。原型是使用两个高压继电器、Arduino NodeMcu和一个温度传感器来实现的。利用电文进行的实验过程显示出了有效的结果。
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引用次数: 1
Optimum Coverage Area for Indoor Environments 室内环境的最佳覆盖面积
Pub Date : 2022-03-16 DOI: 10.1109/MICEST54286.2022.9790133
Noor. N. Abed, F. Abed, M. Mosleh
Recently, all buildings need to be covered by a suitable wireless network for various applications. The main challenges are to select enough Access Points (APs) that guarantee better coverage with less interference and the acceptable received signal. Also, choosing a suitable place for such APs directly affects the coverage area. In this research, a case study building with three floors was chosen to be covered by a suitable number of APs with optimum spaces. Our experiment is applied by Wireless InSite (WI) package with three scenarios; the first one is to conduct the covering by 5TXs which are installed in a chosen place that we believe will cover the building. The coverage is measured by distributing 12 Received Points (RPs) for each floor by measuring the amount of Receive Signal Strength (RSS). The results of such a scenario show a better covering with well-received power. The second scenario tries to reduce the APs to 3TXs in order to reduce the interference and cost by installing one TX for each floor in a suitable place. The simulation results of WI show acceptable coverage is achieved by those 3TXs that reduce the cost and interference. An accurate measurement is applied using the NetSpot package by Personal Computer (PC) to validate such a model for the same second scenario. The actual results confirm the good practical coverage.
最近,所有建筑物都需要一个适合各种应用的无线网络覆盖。主要的挑战是选择足够的接入点(ap),以保证更好的覆盖范围和更少的干扰和可接受的接收信号。此外,选择合适的地点放置此类ap直接影响覆盖范围。在本研究中,我们选择了一栋三层楼的建筑作为案例,并设置了适当数量的ap和最佳空间。我们的实验应用于无线InSite (WI)包,有三种场景;第一个是用5tx进行覆盖,这些tx安装在我们认为会覆盖建筑物的选定位置。通过测量接收信号强度(RSS)的大小,为每层楼分配12个接收点(rp)来测量覆盖范围。这种情况下的结果显示了更好的覆盖和良好的接收功率。第二个场景试图将ap减少到3tx,以便通过在合适的位置为每层安装一个TX来减少干扰和成本。WI的仿真结果表明,这些3TXs在降低成本和干扰的情况下实现了可接受的覆盖。个人计算机(PC)使用NetSpot软件包进行了精确的测量,以验证该模型适用于相同的第二种情况。实际结果证实了该方法具有良好的实用覆盖率。
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引用次数: 0
Analysis of CT images of the COVID-19 patients 新冠肺炎患者CT图像分析
Pub Date : 2022-03-16 DOI: 10.1109/MICEST54286.2022.9790201
S. I. Jabbar, H. S. Majdi, Safa Isam Hakeem, Anas Abduladheem Altaee, Mohammmed Hashim Mohammmed, A. Aladi
In light of the COVID 19 sweeping the world, there is an urgent need for the speed and accuracy of diagnosing infected cases. The CT scan is imaging method for assessing the extent of virus penetration into the patient's lungs. Therefore, in this paper, we present a new method for enhancement CT images of COVID 19 patients. We propose and applied a new modified unsharp masking method for enhancing CT images of the COVID-19 patients. The main objective of using this technique is to add edge information back to the original image as well as to emphasize edges and discontinuities to obtain higher contrast in the enhanced images. We recruited 30 samples of CT scan image from (male and female). A new scale of contrast enhancement has been supported quantitative improvement using two assessment metrics EME (Measure of Enhancement) and AME (Absolute Measure of Enhancement). These scales control and help to get closer to a better appearance of the resulting image compared to the original image. The quality of output images of proposed technique outperforms traditional unsharp masking technique with 6.725% and 23.73% based on EME and AME evaluations.
在新型冠状病毒感染症(COVID - 19)席卷全球的情况下,迫切需要诊断感染病例的速度和准确性。CT扫描是评估病毒侵入患者肺部程度的成像方法。因此,本文提出了一种新的增强COVID - 19患者CT图像的方法。我们提出并应用了一种新的改进的非锐化掩蔽方法来增强COVID-19患者的CT图像。使用该技术的主要目的是将边缘信息添加回原始图像,并强调边缘和不连续点,以在增强图像中获得更高的对比度。我们招募了30个CT扫描图像样本(男性和女性)。使用两个评估指标EME(增强测量)和AME(绝对增强测量)支持了一种新的对比度增强量表的定量改进。与原始图像相比,这些比例控制并帮助获得更接近于最终图像的更好外观。基于EME和AME评价,该技术的输出图像质量分别比传统的非锐化掩蔽技术高6.725%和23.73%。
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引用次数: 0
Martensite Fraction Effect on Fatigue Resistance for Double-Phase Steel Shafts 马氏体分数对双相钢轴抗疲劳性能的影响
Pub Date : 2022-03-16 DOI: 10.1109/MICEST54286.2022.9790301
Mohammad Hamid J. Mahboba, M. Waheed
In this research, the effect of the volumetric fraction of martensitic on the resistance of fatigue of the double-phase steel shafts was studied. A carbon steel 0.108 %C test and other specimen of carbon steel was heated at different temperatures 750,775, 800 and 825°C for a holding time 15 min and then was quenching in water to produce double-phase steel. The different volumetric fractions martensitic that obtanded (8.1, 11.3, 14.6 and 19.4) % Ms (Martensite). Experimental results showed that the fatigue resistance of the double-phase steel shaft was greater than that of the carbon steel metal received. In addition, the best correlation between resistance fatigue and number of failure cycles was in the martensite ratio equal to 11.3% when fatigue resistance was equal to 208 N/mm2 with the number cycles of 400420. The amount of fatigue increased when the volume fraction of martensitis increased and the concomitant decreased in the number of failure cycles. The largest amount of resistance fatigue for double-phase steel 265 N/mm2 was recording at the number cycles of 150320.
本文研究了马氏体体积分数对双相钢轴抗疲劳性能的影响。将碳钢和其他碳钢试样分别在750,775,800和825℃的不同温度下加热15 min,然后在水中淬火,得到双相钢。马氏体的不同体积分数分别为(8.1、11.3、14.6和19.4)% Ms(马氏体)。试验结果表明,双相钢轴的抗疲劳性能优于碳钢。当疲劳抗力为208 N/mm2,循环次数为400420时,马氏体比为11.3%时,疲劳抗力与失效循环次数的相关性最好。随着马氏体体积分数的增加,疲劳量增加,失效循环次数减少。265 N/mm2双相钢在150320次循环次数时出现最大的电阻疲劳量。
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引用次数: 0
Hybrid Spectrum Sensing: Status, Open Problem And Future Trends 混合频谱传感:现状、有待解决的问题和未来趋势
Pub Date : 2022-03-16 DOI: 10.1109/MICEST54286.2022.9790207
Rajaa Mahmood Kareem, S. Sadkhan
Data transfer rates must be faster and more efficient as internet applications and wireless communications grow exponentially. As a result, a correct and effective spectrum is a must. As the demand for spectrum grows, the number of bands accessible to send and receive data decreases. One of the time-consuming duties is maximizing the utilization of these bands. Various spectrum sensing approaches come up with a literature review and elements of hybrid spectrum sensing techniques as well as several cognitive radio optimizations, are discussed in this article. The search will stop at several points, including challenges, status and Future Trend.
随着互联网应用和无线通信呈指数级增长,数据传输速率必须更快、更高效。因此,正确有效的频谱是必须的。随着对频谱需求的增长,可用于发送和接收数据的频带数量减少。其中一个耗时的任务是最大限度地利用这些波段。本文对各种频谱感知方法进行了综述,讨论了混合频谱感知技术的基本原理以及几种认知无线电优化方法。搜索将停留在几个点,包括挑战、现状和未来趋势。
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引用次数: 0
Learning Rate Estimation Model in Restricted Boltizmann Machine Neural Network for Building Recommender Systems 建筑推荐系统的受限Boltizmann机器神经网络学习率估计模型
Pub Date : 2022-03-16 DOI: 10.1109/MICEST54286.2022.9790240
Isma Jabbar, Mohammed Najm Abdullh, R. S. Alhamdani
This paper finds the mechanism to obtain learning rate value for training restricted Boltzmann artificial neural network that used for build recommender systems. One of the important problem in training the artificial neural network model is finding the appropriate learning rate values for making designed model reach the optimal result for learning process. The proposed model analyzes the behavior of the recommender system in context of mean squared error (MSE), mean absolute error (MAE), precision and recall as well as the free energy function. Proposed model
本文找到了用于构建推荐系统的训练受限玻尔兹曼人工神经网络的学习率值获取机制。训练人工神经网络模型的一个重要问题是找到合适的学习率值,使所设计的模型在学习过程中达到最优的结果。该模型分析了推荐系统在均方误差(MSE)、平均绝对误差(MAE)、精度和召回率以及自由能函数的背景下的行为。提出的模型
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引用次数: 0
Software-Defined Network Security - Status, Challenges, and Future trends 软件定义网络安全——现状、挑战和未来趋势
Pub Date : 2022-03-16 DOI: 10.1109/MICEST54286.2022.9790219
S. Sadkhan, Mustafa Abbas, Suadad S. Mahdi, Shahad A. Hussein
Software Defined Networking (SDN) refers to the separation of the control plane from the data plane and provision of the centralized control to manage the whole network. As a result, networks become more dynamic, scalable, programmable, and manageable. Although network programming provides new possibilities for security solutions, the security of the network itself remains a challenge and the Controller-Switch channel is considered the major challenge, as the network can be attacked via a Controller-Switch channel and exploit communications with the controller although the The Controller-Switch channel was secured via Transport Layer Security protocol (TLS) to achieve authenticated and secure communication via the channel. On the other hand, there are problems related to the protection of user data especially after the emergence of quantum computers.
SDN (Software Defined Networking)是指将控制平面与数据平面分离,提供集中控制来管理整个网络。因此,网络变得更加动态、可伸缩、可编程和可管理。尽管网络编程为安全解决方案提供了新的可能性,但网络本身的安全性仍然是一个挑战,控制器-交换通道被认为是主要的挑战,因为网络可以通过控制器-交换通道受到攻击,并利用与控制器的通信,尽管控制器-交换通道通过传输层安全协议(TLS)得到保护,以实现通过通道的身份验证和安全通信。另一方面,在量子计算机出现之后,用户数据的保护也出现了一些问题。
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引用次数: 3
Security of Nanoscale Communication networks - Status, Challenges and Future Trends 纳米级通信网络的安全性——现状、挑战和未来趋势
Pub Date : 2022-03-16 DOI: 10.1109/micest54286.2022.9790283
Karrar Falih Hassan, S. Sadkhan
A nano-network is a communication network that connects nano-devices. Nano-devices have severe functional challenges due to limitations in processing capability and power management. As a result, these devices are expected to do simple tasks that necessitate novel approaches. To take use of different Nano-machine capabilities, we need to manage and run a set of Nano-devices in a whole Nano-network using an appropriate architecture. Unrivalled biomedical, environmental, and industrial uses will be possible at this time. The IoT has transformed the way people use the Internet, allowing various types of things, sensors, and gadgets to interact with each other, and enabling our future networks to connect almost everything from conventional network devices to people. As a result, in such market, security and robustness are crucial. Internet of Nano-Things (IoNT), molecular communication, nano-network, nano-machines, security is some of the terms used. This paper will introduce a survey about the security aspect of the (Nanoscale Communication Networks), concentrating on the literature survey, and the main challenges, and the future trends of such important research field.
纳米网络是一种连接纳米设备的通信网络。由于处理能力和电源管理的限制,纳米器件在功能上面临着严峻的挑战。因此,这些设备有望完成一些简单的任务,而这些任务需要新的方法。为了利用不同的纳米机器功能,我们需要使用适当的架构在整个纳米网络中管理和运行一组纳米设备。无与伦比的生物医学、环境和工业用途将在此时成为可能。物联网改变了人们使用互联网的方式,允许各种类型的事物、传感器和小工具相互交互,并使我们的未来网络能够连接从传统网络设备到人的几乎所有东西。因此,在这样的市场中,安全性和稳健性至关重要。纳米物联网(IoNT),分子通信,纳米网络,纳米机器,安全是使用的一些术语。本文将介绍纳米通信网络安全方面的研究概况,重点介绍这一重要研究领域的文献综述、主要挑战和未来趋势。
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引用次数: 0
Dual-Fed C-DRA Loaded by Modified Circular Patch Antenna 改进圆形贴片天线负载的双馈C-DRA
Pub Date : 2022-03-16 DOI: 10.1109/MICEST54286.2022.9790294
Amjad Abdulsatar Al-Rahma, H. Al-Saedi, F. Ali
This paper presents a cylindrical-dielectric resonator antenna (C-DRA) loaded by a circular patch for emerging wide-band wireless communications. To generate a polarization diversity pattern, the proposed antenna is fed by two orthogonal aperture-coupled feeding slots. The slots' shape and position were chosen to achieve the best operating bandwidth and isolation between the two feeds. A circular patch with crossed dumbbell-shaped slots was etched to achieve high polarization purity. Ansys EDT full wave simulator was used to design and optimize the proposed antenna. Simulation results demonstrate that the proposed antenna achieves a 2 GHz impedance bandwidth (26.64 GHz – 28.69 GHz) centered at 27.6 GHz, with isolation between the two feeding ports better than 25 dB over the operational bandwidth, implying that the antenna can achieve pure diverse polarization (Axial Ratio (AR) less than 0.1 dB) with total gain more than 6 dB over the operating frequency bandwidth. The proposed antenna is a good building component for the next 5G wireless communications technology as well as Ka-band satellite communications.
本文提出了一种用于新兴宽带无线通信的圆形贴片加载的圆柱-介电谐振器天线。为了产生极化分集图,该天线由两个正交的孔耦合馈电槽馈电。选择槽的形状和位置以实现最佳的工作带宽和两个馈电之间的隔离。刻蚀出具有交叉哑铃形槽的圆形贴片,以获得较高的极化纯度。利用Ansys EDT全波模拟器对天线进行了设计和优化。仿真结果表明,该天线实现了以27.6 GHz为中心的2 GHz阻抗带宽(26.64 GHz ~ 28.69 GHz),两个馈电口之间的隔离度在工作带宽上优于25 dB,表明该天线可以实现纯分异极化(轴向比小于0.1 dB),在工作带宽上总增益大于6 dB。该天线是下一代5G无线通信技术以及ka波段卫星通信的良好构建组件。
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引用次数: 0
Facemask Wearing Detection Based on Deep CNN to Control COVID-19 Transmission 基于深度CNN的口罩佩戴检测控制COVID-19传播
Pub Date : 2022-03-16 DOI: 10.1109/MICEST54286.2022.9790197
Jumana Waleed, Thekra Abbas, T. Hasan
Since the expansion of the COVID-19, almost all countries have advocated their residents to put on facemasks and adopt social distance and hand cleanliness. Due to the complicated attitudes in the settings of real life, besides several socio-behavioral and cultural factors, it is not easy to give a convincing situation for the general public that wearing facemasks is useful and effective. Therefore, facemasks wearing has not been widely embraced by many residents. However, the usage of facemasks has offered the considerable potential to filter or block the transmission of respiratory viruses including COVID-19. In this paper, a model of deep convolutional neural network (CNN) for facemask wearing detection is proposed to control covid-19 transmission. This proposed deep learning model includes two main processes; feature extraction and classification. The CNN classifier provides 99.57% of accuracy for the utilized Real-World Masked Face Dataset (RMFD).
自疫情扩大以来,几乎所有国家都倡导居民佩戴口罩,保持社交距离,保持手部清洁。由于现实生活环境中的复杂态度,加上一些社会行为和文化因素,要让公众信服戴口罩是有用和有效的并不容易。因此,佩戴口罩并没有被很多居民广泛接受。然而,口罩的使用为过滤或阻止包括COVID-19在内的呼吸道病毒的传播提供了相当大的潜力。本文提出了一种基于深度卷积神经网络(CNN)的口罩检测模型,以控制covid-19的传播。提出的深度学习模型包括两个主要过程;特征提取与分类。CNN分类器为使用的真实世界蒙面数据集(RMFD)提供了99.57%的准确率。
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引用次数: 3
期刊
2022 Muthanna International Conference on Engineering Science and Technology (MICEST)
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