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A proposed Array of Quadrifilar Helix Antenna for CubeSat applications 一种用于立方体卫星的四线螺旋天线阵列
Pub Date : 2023-01-26 DOI: 10.1109/LT58159.2023.10092351
N.A.-D.M. Salem, A. Hussein, M. M. Mabrook
Recently, small satellites such as Cube Satellites (CubeSats) have played an important role in modern communication and applications like imaging, remote sensing, education, wide-area measurements, deep-space research, and deep-space observations and communications. CubeSat antenna has primary functions in telemetry and command, communication, navigation, and inter-satellite links (ISL) operations. This paper investigates the radiation characteristics of proposed arrays of quadrifilar helix antenna as an application on a CubeSat in L-band. Firstly, the problem is formulated using the moment method for a four-element array on top of a CubeSat is considered. Then, the radiation patterns, array gain, and axial ratio are depicted. Finally, the characteristics of a cavity-backed four-element quadrifilar helical antenna on top of a CubeSat are investigated. Simulation results show that the antenna gain increases using the cavity while the axial ratio slightly decreases.
近年来,立方体卫星(CubeSats)等小卫星在成像、遥感、教育、广域测量、深空研究、深空观测与通信等现代通信与应用中发挥了重要作用。CubeSat天线在遥测和指挥、通信、导航和卫星间链路(ISL)操作中具有主要功能。本文研究了在立方卫星l波段应用的四线螺旋天线阵列的辐射特性。首先,用矩量法对立方体卫星上的四元阵列进行了求解。然后,描述了辐射方向图、阵列增益和轴比。最后,研究了一种基于空腔的四元四线螺旋天线的天线特性。仿真结果表明,采用空腔后,天线增益增加,而轴向比略有降低。
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引用次数: 0
Design and Optimization of PID Controller based on Metaheuristic algorithms for Hybrid Robots 基于元启发式算法的混合机器人PID控制器设计与优化
Pub Date : 2023-01-26 DOI: 10.1109/LT58159.2023.10092348
Rabab Hamed M. Aly, Kamel Hussien Rahouma, A. Hussein
Metaheuristics optimization techniques are significant to search methods that are used to solve challenging Artificial intelligence (AI) problems. In hybrid robot control systems, Meta-heuristic optimization methods are widely applied. The major goal of this paper is to develop optimized PID control parameters to improve the performance of the hybrid robot control system. For that purpose, two optimization techniques followed by fine-tuning are proposed and simulated to get the optimized PID parameters. The first proposed optimization method applies the Satin Bowerbird (SB) optimization technique to optimize the PID parameters. The Crow Search Optimization (CSO) technique is applied to the SB results to improve the algorithm's performance and the PID parameters. The second proposed method applies the Emperor Penguin Optimization (EPO) technique for the optimization of the PID parameters. The results of both methods are fine-tuned. Moreover, a Kalman filter is used to improve the outcomes after and before tuning the PID parameters. Simulation results show that the proposed first method is more effective for the optimization methods of the PID controller, and its results outperform the results given by previously published research.
元启发式优化技术对于用于解决具有挑战性的人工智能(AI)问题的搜索方法具有重要意义。在混合机器人控制系统中,元启发式优化方法得到了广泛的应用。本文的主要目标是开发最优的PID控制参数,以提高混合机器人控制系统的性能。为此,提出了两种优化技术,并对其进行了仿真,得到了优化后的PID参数。第一种优化方法采用缎园丁鸟(SB)优化技术对PID参数进行优化。将乌鸦搜索优化(Crow Search Optimization, CSO)技术应用于SB结果中,以提高算法的性能和PID参数。第二种方法采用帝企鹅优化(EPO)技术对PID参数进行优化。两种方法的结果都是经过微调的。此外,采用卡尔曼滤波对PID参数整定前后的结果进行了改进。仿真结果表明,所提出的第一种方法对于PID控制器的优化方法更为有效,其结果优于已有的研究结果。
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引用次数: 0
Solid-State 3D Models of Lumbar Vertebral Segments 腰椎节段的固态三维模型
Pub Date : 2023-01-26 DOI: 10.1109/LT58159.2023.10092316
Volodymyr Mavrych, O. Bolgova, I. Shypilova, A. Eryomin
Background: 3D modeling of human organs and structures could aid the development of new therapies and materials to personalize each patient’s needs. This study aimed to create solid-state 3D models of the vertebral segments and test their deformations and stress state under different circumstances.Methods: 3D finite element computer model of lumbar segments was created and tested for the range of motion and stress patterns generated at the lumbar spine using SOLIDWORKS® Simulation software (https://www.solidworks.com/). The finite-element mesh was developed for this model. It consisted of 52662 elements and 90426 nodes, with 271278 degrees of freedom. Parabolic triangular and tetrad elements with a size of 4.15 mm and a tolerance of 0.2075 mm were utilized. After validation, the model was analyzed under static compression 300N to mimic the vertical position of the body.Results: The following average stress levels were determined in the different components of the model during the test: on the upper vertebra - 9.34±0.11 MPa, on the middle - 10.66±0.10 MPa, and the lower - 8.99±0.09 MPa; on the upper intervertebral disc 0.58±0.01 MPa, and the lower - 0.69±0.01 MPa; on the anterior longitudinal ligament - 0.02±0.001 MPa; on the posterior longitudinal ligament - 0.05±0.001 MPa; on the upper transverse ligaments - 0.01±0.001 MPa, and the lower - 0.04±0.001 MPa; on the interspinous ligaments - 0.02±0.001 MPa, and the supraspinatus - 0.03±0.001 MPa.Conclusions: Modeling static compression showed that the maximum stresses were primarily distributed over the vertebral bodies’ cortical bone and extinguished by the trabecular structure and intervertebral discs. Maximal displacements were found in the annulus fibrosus. Solid-state models with a finite-element mesh can be used for biomechanical investigations in vertebral segments. However, more extensive sample studies with different models may be required to compare movement and loading patterns at different lumbar spine structures.
背景:人体器官和结构的3D建模可以帮助开发新的治疗方法和材料,以个性化每个患者的需求。本研究旨在建立椎节的固态三维模型,并测试其在不同情况下的变形和应力状态。方法:建立腰椎节段三维有限元计算机模型,使用SOLIDWORKS®Simulation软件(https://www.solidworks.com/)对腰椎产生的运动范围和应力模式进行测试。建立了该模型的有限元网格。它由52662个元素和90426个节点组成,自由度为271278。采用尺寸为4.15 mm、公差为0.2075 mm的抛物面三角形和四分体单元。验证后,在静态压缩300N的情况下对模型进行分析,模拟人体的垂直位置。结果:试验过程中模型各部位的平均应力水平为:上肢- 9.34±0.11 MPa,中肢- 10.66±0.10 MPa,下肢- 8.99±0.09 MPa;上椎间盘为0.58±0.01 MPa,下椎间盘为- 0.69±0.01 MPa;前纵韧带- 0.02±0.001 MPa;后纵韧带- 0.05±0.001 MPa;上横韧带- 0.01±0.001 MPa,下横韧带- 0.04±0.001 MPa;棘间韧带- 0.02±0.001 MPa,冈上肌- 0.03±0.001 MPa。结论:模拟静态压缩显示,最大应力主要分布在椎体皮质骨上,并被小梁结构和椎间盘所消除。最大的移位见于纤维环。具有有限元网格的固态模型可用于椎节段的生物力学研究。然而,可能需要更广泛的样本研究和不同的模型来比较不同腰椎结构的运动和负荷模式。
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引用次数: 0
The Future Metavertainment Application development 未来的元娱乐应用开发
Pub Date : 2023-01-26 DOI: 10.1109/LT58159.2023.10092341
Layal Ghryani, Aichetou Mohamed Sidiya, Razan Almahdi, Hanin Alzaher
The metaverse is a virtual environment where users can communicate with each other and a computer-generated environment. Nowadays, discussions about metaverse technology are prevalent in both online and print media. The concept of the metaverse is still not fully developed. Most people see it as a glimpse into how people will interact with their environment and how the internet will change over the years. According to a Technavio report, the metaverse in the entertainment sector is anticipated to grow to $28.92 billion in 2026. Over time, market growth will be accelerated by changing entertainment preferences and increased use of cutting-edge gaming technology.This paper aims to explore the trends of metaverse entertainment applications and how they will shape our future. The methods used in this research are based on narrative reviews of recent literature on Metaverse applications and the future of metaverse entertainment and a survey conducted on 100 participants. Results show that the future of metaverse entertainment is very promising but is also very dangerous and its security should be considered carefully.The study concluded that the metaverse has a future of benefits in different fields, not only in entertainment but also in education, business, and even the arts.
虚拟世界是一个用户可以相互通信的虚拟环境,也是一个计算机生成的环境。如今,关于虚拟世界技术的讨论在网络和印刷媒体上都很流行。元宇宙的概念还没有完全发展起来。大多数人把它看作是对人们将如何与环境互动以及互联网将如何在未来发生变化的一瞥。根据Technavio的一份报告,到2026年,娱乐业的虚拟世界预计将增长到289.2亿美元。随着时间的推移,娱乐偏好的改变和尖端游戏技术的使用将加速市场增长。本文旨在探讨虚拟世界娱乐应用的趋势以及它们将如何塑造我们的未来。本研究中使用的方法是基于对最近关于虚拟现实应用和虚拟现实娱乐未来的文献的叙述性回顾,以及对100名参与者的调查。结果表明,虚拟世界娱乐的未来是非常有前途的,但也非常危险,应慎重考虑其安全性。该研究的结论是,虚拟世界未来在不同领域都有好处,不仅在娱乐领域,而且在教育、商业甚至艺术领域。
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引用次数: 0
Data Mining and Visualization of Space Technology Research Trends in the Arab World 阿拉伯世界空间技术研究趋势的数据挖掘和可视化
Pub Date : 2023-01-26 DOI: 10.1109/LT58159.2023.10092340
T. Brahimi
Space exploration has become a crucial field in recent years, with many countries investing heavily in research and development to enhance their capabilities. Nevertheless, there has been a lack of research on the trends and advancements in aerospace research in the Arab world. This study aims to address this gap by conducting a bibliometric analysis of scientific publications using the Scopus database. The analyzed data covers the period from 1980 to 2022 and focuses on identifying the historical foundations, evolution, and emergence of space programs through citation, occurrence, collaboration, and clustering. The United Arab Emirates is found to be the most active country in terms of publications, followed by Saudi Arabia and Egypt. The results indicate that the majority of the publications are centered on remote sensing and the use of optical systems in space exploration. This study provides valuable insights into technological innovation in the aerospace sector in the Arab world and highlights potential research directions for future studies.
近年来,太空探索已成为一个至关重要的领域,许多国家在研究和开发方面投入了大量资金,以提高其能力。然而,对阿拉伯世界航空航天研究的趋势和进展缺乏研究。本研究旨在通过使用Scopus数据库对科学出版物进行文献计量分析来解决这一差距。所分析的数据涵盖1980年至2022年期间,重点是通过引用、发生、协作和聚类来确定空间计划的历史基础、演变和出现。就出版物而言,阿拉伯联合酋长国是最活跃的国家,其次是沙特阿拉伯和埃及。结果表明,大多数出版物集中在遥感和光学系统在空间探索中的应用。本研究为阿拉伯世界航空航天领域的技术创新提供了有价值的见解,并突出了未来研究的潜在研究方向。
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引用次数: 0
A Survey on BERT and Its Applications BERT及其应用综述
Pub Date : 2023-01-26 DOI: 10.1109/LT58159.2023.10092289
Sulaiman Aftan, Habib Shah
A recently developed language representation model named Bidirectional Encoder Representation from Transformers (BERT) is based on an advanced trained deep learning approach that has achieved excellent results in many complex tasks, the same as classification, Natural Language Processing (NLP), prediction, etc. This survey paper mainly adopts the summary of BERT, its multiple types, and its latest developments and applications in various computer science and engineering fields. Furthermore, it puts forward BERT's problems and attractive future research trends in a different area with multiple datasets. From the findings, overall, the BERT and their recent types have achieved more accurate, fast, and optimal results in solving most complex problems than typical Machine and Deep Learning methods.
最近开发的一种名为双向编码器表示的语言表示模型(BERT)是基于一种先进的训练有素的深度学习方法,该方法在许多复杂的任务中取得了优异的结果,如分类、自然语言处理(NLP)、预测等。本文主要对BERT、BERT的多种类型以及BERT在计算机科学和工程各个领域的最新发展和应用进行了综述。并在多数据集的不同领域提出了BERT存在的问题和有吸引力的未来研究趋势。从研究结果来看,总体而言,BERT及其最近的类型在解决大多数复杂问题方面取得了比典型的机器和深度学习方法更准确、更快速和更优的结果。
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引用次数: 1
Optimizing Energy Efficiencies of IoT-based Wireless Sensor Network Components for Metaverse Sustainable Development using Carry Resist Adder based Booth Recoder (CRABRA) 基于携带抗加法的Booth Recoder (CRABRA)优化基于物联网的无线传感器网络组件的能源效率,以实现元宇宙可持续发展
Pub Date : 2023-01-26 DOI: 10.1109/LT58159.2023.10092334
C. Kumar. J, M. Majid
Wireless sensing is now the spine of diverse Internet of Things (IoT) applications. In the Metaverse, the Internet of Things (IoT) can offer wireless and seamlessly integrated immersive digital experiences. Because the Metaverse's enabling technologies are considered to be energy-hungry, questions have been raised concerning the sustainability of its widespread adoption and development. IoT-based wireless sensor networks (WSN) readings are contaminated and distorted by noise. The noise in the signal causes the sensor node's (SN) computations and power consumption to rise, shortening the sensor node's longevity. To reduce noise, an efficient technique is therefore crucial. Finite-impulse response (FIR) filter is commonly employed in IoT-based WSN as a signal pre-processing stage in eliminating noise from the sensor measurements. The multiplication operation's number of adders (logic operators) and the adder steps (logic depths) determine the hardware complexities of FIR filters. The speed of the related application is determined by the multiplier's speed. By reducing the partial product (PP) row, the Booth method speeds up multiplication. The coefficients used by R8BR are ±0,±1 ,±2,±3,and ±4. As a result of the formation of odd multiples ±3, there will be a delay. The adder is required to add ±1 and ±2 for its calculations. This slowdown the multiplication procedures and reduces the recoding performance. To reduce the delay brought on by the creation of odd multiples, a carry resists adder (CRA) is used. CRA was explicitly built to achieve adding of ±2 and ±1 without carry propagation. Theoretically, it is observed that the CRA minimizes delay to 86.26% compared to carry propagation adder (CPA) approaches. Additionally, compared to a typical R8BR multiplier, the experimental findings indicated delay, area, and power reductions of 48.98%, 56.66%, and 31.2%, respectively. Without carry propagating, the CRA does addition faster, with less energy, and occupies less area.
无线传感现在是各种物联网(IoT)应用的支柱。在虚拟世界中,物联网(IoT)可以提供无线和无缝集成的沉浸式数字体验。由于Metaverse的支持技术被认为是耗能巨大的,人们对其广泛采用和发展的可持续性提出了质疑。基于物联网的无线传感器网络(WSN)的读数受到噪声的污染和扭曲。信号中的噪声会增加传感器节点的SN计算量和功耗,缩短传感器节点的使用寿命。因此,为了降低噪声,一种有效的技术是至关重要的。有限脉冲响应(FIR)滤波器通常用于基于物联网的WSN,作为消除传感器测量噪声的信号预处理阶段。乘法运算的加法器数量(逻辑运算符)和加法器步骤(逻辑深度)决定了FIR滤波器的硬件复杂性。相关应用程序的速度由乘法器的速度决定。通过减少偏积(PP)行,布斯法加快了乘法。R8BR使用的系数为±0、±1、±2、±3、±4。由于形成奇数倍±3,会有延迟。加法器需要加±1和±2进行计算。这减慢了乘法过程并降低了重编码性能。为了减少奇倍数产生带来的延迟,使用了抗进位加法器(CRA)。明确地建立了CRA,以实现±2和±1的相加而不进行进位传播。理论上,观察到与携带传播加法器(CPA)方法相比,CRA将延迟最小化至86.26%。此外,与典型的R8BR乘法器相比,实验结果表明,延迟、面积和功耗分别降低了48.98%、56.66%和31.2%。没有进位传播,CRA的加法速度更快,能量更少,占用面积更小。
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引用次数: 1
Design of a DC/DC Converter with a PID Controller and Backpropagation Neural Network for Electric Vehicles 基于PID控制器和反向传播神经网络的电动汽车DC/DC变换器设计
Pub Date : 2023-01-26 DOI: 10.1109/LT58159.2023.10092291
A. Hussein, Basmah Shigdar, Lina Almatrafi, Batool Alaidroos, F. Alsharif, Rabab Hamed M. Aly
Currently, global warming has become a major problem. The pollution caused because of conventional internal combustion engines are increasing dramatically. Electric Vehicles are good alternatives to conventional IC engine vehicles in promoting a green environment. Controllers, converters, and modulation schemes are needed to provide a safe and reliable power transmission from energy storage systems to the electric motor in electric cars. In this paper, a design of DC/DC boost converter based on a PID controller is proposed. Moreover, a Back Propagation Neural Network (BPNN) technique is applied to generate the optimal PID parameters before using the PID. The proposed DC/DC boost converter is simulated using MATLAB software. The simulation results proved that the proposed DC/DC converter with PID-BPNN achieved higher performance and a stable output voltage.
目前,全球变暖已成为一个重大问题。传统内燃机造成的污染正在急剧增加。在促进绿色环境方面,电动汽车是传统内燃机汽车的良好替代品。需要控制器、转换器和调制方案来提供从储能系统到电动汽车电动机的安全可靠的电力传输。本文提出了一种基于PID控制器的DC/DC升压变换器的设计方法。此外,在使用PID之前,应用反向传播神经网络(BPNN)技术生成最优PID参数。利用MATLAB软件对所设计的DC/DC升压变换器进行了仿真。仿真结果表明,基于pid - bp神经网络的DC/DC变换器具有较高的性能和稳定的输出电压。
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引用次数: 0
The usefulness of Teaching Technology Toolkit (3T) in selecting appropriate learning tools for an engaging online learning solution 教学技术工具包(3T)在选择合适的学习工具,以吸引在线学习解决方案的有用性
Pub Date : 2023-01-26 DOI: 10.1109/lt58159.2023.10092358
Fareeza Marican Abu Backer Maricar, Mohd Fadzil Zaiiial Anuar, Marhana Omar Bakhi, H. Z. Baloch
The advancement of educational technology and its utilisation in higher educational institutions has become increasingly important in today's world, especially with the shift towards online and hybrid learning. It is crucial that educators have the knowledge and skills to use appropriate tools to create engaging and effective online learning experiences, activities and assessments. The "Teaching Technology Toolkit" (3T) is a learner-centric method that helps educators find and select the best tools to use with their teaching method. This toolkit promotes the use of appropriate online tools, thus increasing the engagement of learners and their understanding of the subject matter. The implementation of 3T provides a unique opportunity to enhance and improve learning and teaching experiences. The toolkit incorporates multimedia elements, making it more interactive and engaging for learners. 3T is a continuously evolving tool that is updated with new scenarios for decision-making based on feedback received and advancements in educational technology.
教育技术的进步及其在高等教育机构中的应用在当今世界变得越来越重要,特别是随着在线和混合学习的转变。至关重要的是,教育工作者必须具备知识和技能,使用适当的工具来创建引人入胜和有效的在线学习体验、活动和评估。“教学技术工具包”(3T)是一种以学习者为中心的方法,可以帮助教育工作者找到并选择与他们的教学方法相结合的最佳工具。该工具包促进使用适当的在线工具,从而提高学习者的参与度和对主题的理解。3T的实施提供了一个独特的机会来加强和改善学习和教学经验。该工具包结合了多媒体元素,使其更具互动性,对学习者更具吸引力。3T是一个不断发展的工具,根据收到的反馈和教育技术的进步,它会随着决策的新场景而更新。
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引用次数: 0
An Approach for Detecting Missed Tissue Proteins in Autoimmune Diseases 一种检测自身免疫性疾病组织蛋白缺失的方法
Pub Date : 2023-01-26 DOI: 10.1109/LT58159.2023.10092296
Rasha Elnemr, M. Rafea, Passent El-Kafrawy
Autoimmune disease is a pathologic condition resulting from an induced error in the immune system leading to an autoimmune response with organ dysfunction or tissue damage. The discovery of autoantibodies in the blood is essential in the diagnosis of these diseases. Notice that the antibodies may not be the essential reason for the disease. It should be remarked that auto-antibodies are commonly found in all immunologically competent people and can increase during disease, infection, or injury. In some cases, autoantibodies can be the result, not the reason, of the disorder process. The existence of autoantibody responses has major significance in the diagnosis and prognosis of several autoimmune disorders.The goal of this work is to detect the set of missed tissue proteins that can be used in the diagnosis and treatment of a specific autoimmune disease. A hypothetical EDAS is generated. Ten thousand records are randomly created based on the mathematical model. The developed algorithm for missed tissue protein discovery is described. The presented tool can be used to diagnose autoimmune diseases in clinical laboratories.
自身免疫性疾病是一种由免疫系统诱导错误导致自身免疫反应与器官功能障碍或组织损伤引起的病理状态。在血液中发现自身抗体对诊断这些疾病至关重要。注意,抗体可能不是疾病的根本原因。值得注意的是,自身抗体常见于所有免疫功能正常的人,并且在疾病、感染或损伤期间会增加。在某些情况下,自身抗体可能是疾病过程的结果,而不是原因。自身抗体反应的存在对多种自身免疫性疾病的诊断和预后具有重要意义。这项工作的目的是检测一组缺失的组织蛋白,这些蛋白可用于诊断和治疗特定的自身免疫性疾病。生成一个假设的EDAS。10000条记录是根据数学模型随机创建的。描述了开发的缺失组织蛋白发现算法。提出的工具可用于诊断自身免疫性疾病在临床实验室。
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引用次数: 0
期刊
2023 20th Learning and Technology Conference (L&T)
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