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2022 4th International Conference on Advanced Science and Engineering (ICOASE)最新文献

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A Circular Dipole Nanoantenna with Improved Performance 一种性能改进的圆形偶极子纳米天线
Pub Date : 2022-09-21 DOI: 10.1109/ICOASE56293.2022.10075600
A. A. Rasheed, Khalil H. Sayidmarie
Nanoantennas have attracted much attention because of their unique ability to collect light into subwavelength dimensions while enhancing a high electric field via localized surface plasmon resonance. Engineering the shape and size of the nanoantenna mostly focuses on improving the confined field or altering the resonance wavelength. This study focuses on improving the absorption and scattering properties of a circular-dipole nanoantenna by inserting circular holes in the two arms of the dipole. The influence of the dipole parameters on its properties such as resonance wavelength, reflection, and absorption, as well as the electric field in the gap was investigated. The proposed ring geometry can significantly increase the absorption while also inhibiting scattering, thus achieving an optimal operating state. The scattered power of a solid circular dipole nanoantenna can be up to 85%, while the remaining 15% of the incident power is absorbed. It is shown that the absorbed coupled power in the hollow circular dipole can be increased to 55%. This property results in optimal plasmonic localization of the field in the gap of the dipole nanoantenna. This finding can be deployed in photovoltaics, thermoplastics, fluorescence microscopy, and biosensing applications.
纳米天线由于其独特的收集亚波长光的能力和通过局部表面等离子体共振增强高电场的能力而受到广泛关注。设计纳米天线的形状和尺寸主要集中在改善局限场或改变谐振波长。本研究的重点是通过在圆形偶极子纳米天线的两臂上插入圆孔来改善其吸收和散射性能。研究了偶极子参数对其共振波长、反射、吸收等特性以及间隙电场的影响。所提出的环形几何结构可以显著增加吸收,同时抑制散射,从而达到最佳工作状态。固体圆形偶极子纳米天线的散射功率可达85%,其余15%的入射功率被吸收。结果表明,空心圆偶极子的吸收耦合功率可提高到55%。这一特性使偶极子纳米天线间隙内的场具有最佳的等离子体定位。这一发现可用于光伏、热塑性塑料、荧光显微镜和生物传感应用。
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引用次数: 0
The Use of Toulmin's Argumentation Model in Solving The Drug Conflict Problems 图尔敏论证模型在解决毒品冲突问题中的应用
Pub Date : 2022-09-21 DOI: 10.1109/ICOASE56293.2022.10075599
Hamzah Noori Fejer, Ali Hadi Hasan
The field of argumentation in Artificial Intelligence (AI) has witnessed a great increase an important cognitive to deal with uncertain information and conflicting opinions. This has led to a number of interesting lines of research in this field and related fields, giving rise to computational models of the argument as a promising research field. The remedies conflict problem is considered one of the challenges in the field of medicine the world. This paper makes use of Toulmin's argumentation model to deal with conflicting problems within the medicine field. In addition, inference rules were used for associating a patient's symptoms and patient history(premises) with remedies use, eventually leading to medications diagnosis for patient (claims). After that, several remedy features are used to compete for the support and the attack (pros and cons) for each remedy item. A decision is made during the qualifier phase in Toulmin's model about whether or not the drug should be used based on the highest value of support or attack. The dataset consists of 200 patients as samples for two heart diseases (hypertension, angina pectoris). It is collected from the Iraqi educational hospitals, annotated by a team of experts working in the medical field. The performance achieved in the proposed model in hypertension and angina pectoris diseases were 78% and 83%, respectively, using the confusion matrix method.
人工智能(AI)中的论证领域在处理不确定信息和意见冲突的重要认知方面有了很大的发展。这导致了这个领域和相关领域的一些有趣的研究,产生了作为一个有前途的研究领域的争论的计算模型。药物冲突问题被认为是世界医学领域面临的挑战之一。本文运用图尔敏的论证模型来处理医学领域内的冲突问题。此外,推理规则用于将患者的症状和病史(前提)与药物使用联系起来,最终导致患者的药物诊断(索赔)。在此之后,将使用几个补救功能来竞争每个补救道具的支持和攻击(赞成和反对)。在Toulmin的模型中,在限定阶段根据支持或攻击的最高值决定是否使用该药物。该数据集包括200名患者作为两种心脏病(高血压、心绞痛)的样本。它是从伊拉克教育医院收集的,由一组在医疗领域工作的专家注释。采用混淆矩阵法,该模型对高血压和心绞痛疾病的诊断准确率分别为78%和83%。
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引用次数: 0
Fog Computing in 5G Mobile Networks: A Review 5G移动网络中的雾计算研究综述
Pub Date : 2022-09-21 DOI: 10.1109/ICOASE56293.2022.10075567
F. E. Samann, S. Ameen, Shavan K. Askar
The existing Internet infrastructure cannot meet the demands of the exponential growth in data users need to access. Therefore, Fog Computing (FC), Internet of Things (IoT), and 5G are upgrading conventional data transfer with innovative solutions and intelligently processing data to improve performance. Fog computing is considered a central component in the growth of the new 5G networks and the Internet of Things. These advanced technologies allow the Internet to provide enhanced services through sensors, continually monitoring a wide range of information. The paper reviews the most recent studies that implemented fog computing in a 5G environment by defining the essential services and network-oriented functionality. Moreover, the surveyed study is also discussed and assessed through sum-up tables with general remarks about the followed trends. The mentioned studies presented legitimate solutions for issues in the Vehicular Network and improved the current network architecture.
现有的互联网基础设施已无法满足用户数据访问需求的指数级增长。因此,雾计算(FC)、物联网(IoT)和5G正在以创新的解决方案升级传统的数据传输,并对数据进行智能处理,以提高性能。雾计算被认为是新5G网络和物联网发展的核心组成部分。这些先进的技术使互联网能够通过传感器提供增强的服务,持续监测范围广泛的信息。本文通过定义基本服务和面向网络的功能,回顾了在5G环境中实现雾计算的最新研究。此外,还通过总结表对调查研究进行了讨论和评估,并对后续趋势进行了一般性评论。上述研究为车联网中的问题提出了合理的解决方案,并改进了现有的网络架构。
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引用次数: 0
Automated Detection of Covid-19 from X-ray Using SVM 基于SVM的新型冠状病毒x射线自动检测
Pub Date : 2022-09-21 DOI: 10.1109/ICOASE56293.2022.10075586
D. A. Zebari, Dawlat Mustafa Sulaiman, Shereen S. Sadiq, Nechirvan Asaad Zebari, Merdin Shamal Salih
Earlier discovery of COVID-19 through precise diagnosis, particularly in instances with no evident symptoms, may reduce the mortality rate of patients. Chest X-ray images are the primary diagnostic tool for this condition. Patients exhibiting COVID-19 symptoms are causing hospitals to become overcrowded, which is becoming a big concern. The contribution that machine learning has made to big data medical research has been very helpful, opening up new ways to diagnose diseases. This study has developed a machine vision method to identify COVID-19 using X-ray images. The preprocessing stage has been applied to resize images and enhance the quality of X-ray images. The Gray-level co-occurrence matrix (GLCM) and Gray-Level Run Length Matrix (GLRLM) are then used to extract features from the X-ray images, and these features are combined to develop the performance classification via training by Support Vector Machine (SVM). The testing phase evaluated the model's performance using generalized data. This developed feature combination utilizing the GLCM and GLRLM algorithms assured a satisfactory evaluation performance based on COVID-19 detection compared to the immediate, single feature with a testing accuracy of 96.65%, a specificity of 99.54%, and a sensitivity of 97.98%.
通过准确诊断及早发现COVID-19,特别是在没有明显症状的情况下,可降低患者死亡率。胸部x线图像是该病的主要诊断工具。出现新冠肺炎症状的患者导致医院人满为患,这已成为一个大问题。机器学习对大数据医学研究的贡献非常有帮助,开辟了诊断疾病的新方法。本研究开发了一种利用x射线图像识别COVID-19的机器视觉方法。预处理阶段已应用于调整图像大小和提高x射线图像的质量。然后使用灰度共生矩阵(GLCM)和灰度运行长度矩阵(GLRLM)从x射线图像中提取特征,并将这些特征结合起来,通过支持向量机(SVM)的训练进行性能分类。测试阶段使用广义数据评估模型的性能。与直接的单一特征相比,利用GLCM和GLRLM算法开发的特征组合确保了基于COVID-19检测的令人满意的评估性能,测试准确率为96.65%,特异性为99.54%,灵敏度为97.98%。
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引用次数: 2
Blockchain for Big Data Security, Issues, Challenges and Future Directions 大数据安全,问题,挑战和未来方向
Pub Date : 2022-09-21 DOI: 10.1109/ICOASE56293.2022.10075570
Shimal Sh. Taher, S. Ameen, J. A. Ahmed
Over the last decade, worldwide data traffic has risen at an unprecedented rate, prompting a surge in interest in big data. manufacturing, entertainment, and media. With this interest, Blockchain Technology, appeared as a promising technology that enables the transaction record to be continuously stored, protected with the digital signature, and validated by consensus. It operates under the concept of a digital ledger that is distributed. In this article, recent growth in blockchain interest as an alternative to traditional centralized systems has been presented and considered the emerging implementations thereof. In particular, the key approaches needed for the introduction of the blockchain and security issues. This includes the general issue behind the blockchain, description of the component, and the blockchain importance and connection with the big data. Thus, the paper focuses on reviewing the research in blockchain applications in securing big data. The paper compares big data security techniques and mechanisms provided by the blockchain approach considering security attacks that might shed light on Blockchain enthusiasts and researchers. Finally, the paper evaluates the various challenges of blockchain and put some recommendations for future research.
在过去十年中,全球数据流量以前所未有的速度增长,促使人们对大数据的兴趣激增。制造业、娱乐和媒体。有了这种兴趣,区块链技术作为一种很有前途的技术出现了,它使交易记录能够连续存储,使用数字签名进行保护,并通过共识进行验证。它在分布式数字账本的概念下运作。在本文中,介绍了区块链作为传统集中式系统的替代方案的最新增长,并考虑了其新兴的实现。特别是引入区块链所需的关键方法和安全性问题。这包括区块链背后的一般问题,组件的描述,区块链的重要性以及与大数据的联系。因此,本文重点综述了区块链在大数据安全中的应用研究。本文比较了区块链方法提供的大数据安全技术和机制,考虑了可能对区块链爱好者和研究人员有所启发的安全攻击。最后,本文对区块链面临的各种挑战进行了评价,并对未来的研究提出了建议。
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引用次数: 0
Building a Real-Time System to Monitor Students Electronically Based on Digital Images of Face Movement 基于人脸运动数字图像的学生电子实时监控系统的构建
Pub Date : 2022-09-21 DOI: 10.1109/ICOASE56293.2022.10075587
Nagham Saeed, H. M. Ahmed
The spread of the Corona Virus pandemic on a global scale had a great impact on the trend towards e-learning. In the virtual exams the student can take his exams online without any papers, in addition to the correction and electronic monitoring of the exams. Tests are supervised and controlled by a camera and proven cheat-checking tools. This technology has opened the doors of academic institutions for distance learning to be wide spread without any problems at all. In this paper, a proposed model was built by linking a computer network using a server/client model because it is a system that distributes tasks between the two. The main computer that acts as a server (exam observer) is connected to a group of sub-computers (students) who are being tested and these devices are considered the set of clients. The proposed student face recognition system is run on each computer (client) in order to identify and verify the identity of the student. When another face is detected, the program sends a warning signal to the server. Thus, the concerned student is alerted. This mechanism helps examinees reduce cheating cases in early time. The results obtained from the face recognition showed high accuracy despite the large number of students' faces. The performance speed was in line with the test performance requirements, handling 1,081 real photos and adding 960 photos.
冠状病毒大流行在全球范围内的蔓延对电子学习的趋势产生了重大影响。在虚拟考试中,学生可以在没有任何试卷的情况下在线参加考试,除了考试的批改和电子监控。测试由摄像机和经过验证的作弊检查工具进行监督和控制。这项技术为远程教育的广泛传播打开了学术机构的大门,没有任何问题。在本文中,由于它是一个在两者之间分配任务的系统,因此通过使用服务器/客户端模型连接计算机网络建立了一个拟议的模型。作为服务器(考试观察员)的主计算机连接到一组被测试的子计算机(学生),这些设备被认为是一组客户端。所提出的学生人脸识别系统在每台计算机(客户端)上运行,以识别和验证学生的身份。当检测到另一张脸时,程序会向服务器发送警告信号。因此,有关的学生得到了警告。这一机制有助于考生尽早减少作弊事件。人脸识别结果显示,尽管学生的人脸数量较多,但准确率较高。性能速度符合测试性能要求,处理1081张真实照片,添加960张照片。
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引用次数: 1
Peak to Average Power Ratio Reduction for OFDM with IM System 具有IM系统的OFDM的峰值平均功率比降低
Pub Date : 2022-09-21 DOI: 10.1109/ICOASE56293.2022.10075595
Bana Shekh Faraj, A. Siddiq
This paper is interested in studying the Peak to Average Power Ratio (PAPR) reduction in Orthogonal Frequency Division Multiplexing with Index Modulation (OFDM-IM) system transmitter. PAPR is a common issue in multicarrier transmission techniques which is the result of adding independent multicarrier signals of different peak values on the same phases. The reduction schemes have been diversly examined for classical OFDM and the majority of them can be directly extended to OFDM-IM while some require slight changes to suit the OFDM-IM characteristics. Selective Mapping (SLM), Partial Transmit Sequence (PTS), Tone Reservation (TR), and Peak Insertion (PI) are some examples on the reduction schemes that will be investigated throughout this paper. As for PI, to the best knowledge of the authors is for the first time implemented in OFDM-IM. The system parameters effects, number of total subcarriers(N), number of subblocks (n), the active subcarriers (k), and the activation ratio (r) are studied to gain the lowest PAPR amount possible that reached (1.2 dB) at specified system parameters.
本文主要研究正交频分复用与指数调制(OFDM-IM)系统发射机的峰均功率比(PAPR)降低问题。PAPR是多载波传输技术中的一个常见问题,它是在同一相位上加入不同峰值的独立多载波信号的结果。对经典OFDM的降噪方案进行了不同的研究,其中大多数可以直接扩展到OFDM- im,而有些则需要稍微改变以适应OFDM- im的特性。选择性映射(SLM),部分传输序列(PTS),音调保留(TR)和峰值插入(PI)是本文将研究的一些减少方案的示例。至于PI,据作者所知是首次在OFDM-IM中实现的。研究了系统参数的影响、总子载波数(N)、子块数(N)、有效子载波数(k)和激活比(r),以获得在指定系统参数下可能达到(1.2 dB)的最低PAPR。
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引用次数: 1
Angle Diversity Receiver for Indoor Optical Wireless Communication Systems 用于室内无线光通信系统的角度分集接收机
Pub Date : 2022-09-21 DOI: 10.1109/ICOASE56293.2022.10075573
Roua Muwafaq Younus, Mahmod Ahmed Al Zubaidy, Safwan Hafeedh Younus
Many factors, such as direct spotlights and multipath propagation, contribute to the deterioration of the optical wireless communication (OWC) system's performance in the interior environment. In this study, we look at angle diversity receiver (ADR) that can assist to mitigate these issues by rejecting direct pathways from the spotlights and allowing only reflected rays to reach the receiver. ADR also shortens the distance between the sender and the recipient, resulting in less path loss and delay spread. ADR consists of five photodetectors and each photodetector is directed in a precise direction to improve the system's performance by providing a specified field of view (FOV). Elevation angles are optimized to enhance the signal-to-noise ratio (SNR) by changing the angle in steps. Select the Best (SB) scheme is used to choose the detector with the greatest SNR. The computations are done with the help of the MATLAB program. The ADR's results are compared to the conventional diffuse system's (CDS) results, where the bit error rate (BER), and the delay spread are lowered greatly, and the 3-dB bandwidth of the channel is extended, according to the findings.
光无线通信(OWC)系统在室内环境下的性能下降主要是由于射灯直射、多径传播等因素造成的。在本研究中,我们研究了角度分集接收器(ADR),它可以通过拒绝来自聚光灯的直接路径,只允许反射光线到达接收器来帮助缓解这些问题。ADR还缩短了发送方和接收方之间的距离,从而减少了路径损耗和延迟传播。ADR由五个光电探测器组成,每个光电探测器都指向一个精确的方向,通过提供指定的视场(FOV)来提高系统的性能。优化仰角,通过逐步改变仰角来提高信噪比(SNR)。选择最佳(SB)方案用于选择信噪比最大的检测器。在MATLAB程序的帮助下进行计算。根据研究结果,ADR的结果与传统漫射系统(CDS)的结果进行了比较,后者的误码率(BER)和延迟扩展大大降低,并且通道的3db带宽得到了扩展。
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引用次数: 0
Future Security Issues in Internet of Energy 未来能源互联网的安全问题
Pub Date : 2022-09-21 DOI: 10.1109/ICOASE56293.2022.10075597
Chahrazed Benrebbouh, Sarra Cherbal, Houssem Mansouri, A. Pathan
One of the most popular new technologies today is the Internet of Energy (IoE), which utilizes the Internet for collecting, organizing, optimizing and managing network energy information from various edge devices. In this way, a distributed smart energy infrastructure is developed. As IoE is essentially linked with the Internet, the cyber security concerns for this environment are also significant. Like any other technology connected with the Internet, IoE also is vulnerable to various kinds of attacks and threats. In this paper, we investigate the security issues in Internet of Energy. We study various security techniques proposed or developed for this environment during the recent years and discuss what to expect in the future.
当今最流行的新技术之一是能源互联网(IoE),它利用互联网收集、组织、优化和管理来自各种边缘设备的网络能源信息。通过这种方式,开发了分布式智能能源基础设施。由于物联网本质上与互联网相连,因此该环境的网络安全问题也很重要。与任何其他与互联网相连的技术一样,物联网也容易受到各种攻击和威胁。本文对能源互联网中的安全问题进行了研究。我们研究了近年来针对该环境提出或开发的各种安全技术,并讨论了未来的预期。
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引用次数: 1
PV System Based Speed Control of Induction Motor by Space Vector Pulse Width Modulation 基于空间矢量脉宽调制的光伏系统异步电机速度控制
Pub Date : 2022-09-21 DOI: 10.1109/ICOASE56293.2022.10075608
L. Mohammed, Salsabeel H. Taha
This work uses green energy to solve the problem of lacking electrical energy in agricultural areas. Thus, it suggests using photovoltaic systems to supply the engines used in irrigation in these areas where the load is variable. In addition, this work uses a three-phase inverter to achieve the lowest possible total harmonic distortion. Furthermore, the motor's torque is fixed at all speeds, while the volt-to-hertz ratio speed control of the induction motor is discussed in this paper. By varying the modulation index of the space-vector-pulse-width, the stator voltage of the induction motor can differ correspondingly. The time duration of gate pulses is changed to maintain the constant voltage-to-hertz ratio. Space-vector-pulse-width-modulation technique delivers the simulation and theoretical analysis. Moreover, PV cells drive the induction motors with a wide speed range. Simulation results were validated with practical outcomes.
这项工作利用绿色能源来解决农业地区缺乏电力的问题。因此,它建议在这些地区使用光伏系统来提供用于灌溉的发动机,这些地区的负荷是可变的。此外,这项工作使用三相逆变器来实现尽可能低的总谐波失真。此外,在所有转速下,电机的转矩是固定的,同时本文还讨论了感应电机的电压-赫兹比速度控制。通过改变空间矢量脉宽的调制指数,感应电动机的定子电压也会发生相应的变化。改变门脉冲的持续时间以保持恒定的电压-赫兹比。空间矢量脉宽调制技术进行了仿真和理论分析。此外,光伏电池驱动感应电机具有宽的速度范围。仿真结果与实际结果相吻合。
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引用次数: 0
期刊
2022 4th International Conference on Advanced Science and Engineering (ICOASE)
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