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2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)最新文献

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Electronic Textiles: A Review 电子纺织品:综述
S. Eyupoglu
In recent years, electronic textiles are growing, and light textile materials have started to replace heavy weight metallic materials. The conversion from traditional electronics into wearable electronics has acquired a significant interest owing to the improvement in material science. Furthermore, electronic textiles have attracted attention because of various applications in electromagnetic shielding effect, biomedical devices, energy conversion and storage. Electronic textiles can be defined as textile material having electrical properties. Electrical properties can be gained to textile materials with a variety of techniques such as chemical metallization, utilization of electrical conductive substrates in the polymer before fiber extrusion, weaving metallic wires into fabric, impregnation of conductive polymers to textile materials, and coating of conductive polymers to textile materials. In this study, wearable electronic textiles and production methods were investigated.
近年来,电子纺织品不断发展,轻纺织材料开始取代重金属材料。由于材料科学的进步,从传统电子产品到可穿戴电子产品的转换获得了极大的兴趣。此外,电子纺织品在电磁屏蔽效应、生物医学器件、能量转换和存储等方面的各种应用也引起了人们的关注。电子纺织品可以定义为具有电气性能的纺织材料。通过化学金属化、在纤维挤压前在聚合物中利用导电基材、将金属丝编织到织物中、将导电聚合物浸渍到纺织材料中以及将导电聚合物涂覆在纺织材料上等多种技术可以使纺织材料获得电性能。本研究对可穿戴电子纺织品及其生产方法进行了研究。
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引用次数: 1
Optimal Tuning of PID Parameters for Magnetic Ball Levitation System Using Multi-objective Evolutionary Algorithms 基于多目标进化算法的磁悬浮系统PID参数优化整定
Görkem Melih Kıranel, B. Ataşlar-Ayyıldız
In this work, a PID controller tuned with the multi-objective optimization is used to realize high precision tracking control of a magnetic levitation system. For the multi-objective optimization, a cost function based on the system dynamic response criteria is proposed. The weights of the multi-objective cost function are calculated by three different optimization algorithms: PSO, ABC, and GWO. Time domain performance of the system response obtained by the simulations for these three controller are compared. In addition, the performance of the obtained controllers is examined for a different reference signal and even under the disturbance.
本文采用多目标优化调谐PID控制器实现磁悬浮系统的高精度跟踪控制。针对多目标优化问题,提出了基于系统动态响应准则的代价函数。采用PSO、ABC和GWO三种不同的优化算法计算多目标代价函数的权重。对这三种控制器的时域响应性能进行了仿真比较。此外,还对所得到的控制器在不同参考信号和干扰下的性能进行了测试。
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引用次数: 0
Control of Battery System and Permanent Magnet Synchronous Motor Supplied by Photovoltaic Panel 光伏板供电的电池系统及永磁同步电机控制
Ufuk Badak, A. Yildiz
This study is related to Lead Acid battery charging and the speed of Permanent Magnet Synchronous Motor control connected to solar energy system. In this paper, Battery charging and Permanent Magnet Synchronous Motor control were carried out by keeping the photovoltaic panel at the maximum power point with the Perturb and Observe algorithm. Battery was controlled by applying PI control and Permanent Magnet Synchronous Motor was controlled by applying Field Oriented Control. Simulations of the study were made at different radiation and torque values. Thus, the originality of the study was highlighted.
本文研究了与太阳能系统连接的铅酸蓄电池充电和永磁同步电机转速控制。本文采用Perturb和Observe算法将光伏板保持在最大功率点,实现电池充电和永磁同步电机控制。电池控制采用PI控制,永磁同步电机控制采用磁场定向控制。在不同的辐射和转矩值下进行了仿真研究。因此,这项研究的独创性得到了突出。
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引用次数: 0
Implementation of a Single-Phase Half-Bridge Grid-Connected PV Inverter 单相半桥并网光伏逆变器的实现
Eralp Sener, G. Ertasgin, I. Yazar
Single-phase grid-connected photovoltaic inverters are commonly used to feed power back to the utility. This study aims to investigate an alternative photovoltaic inverter topology approach with a battery at the DC link for grid-connected photovoltaic applications. The output of the PV modules is connected to the DC/DC synchronous boost converter to increase the system voltage and obtain the maximum available power from the PV arrays. A PWM modulated single-phase half-bridge inverter is used to create a sinusoidal output for grid connection after a low-pass LC filter. Principles of operation, performance and design limitations are discussed. The simulation results show the suitability of the proposed solution for a grid-connected photovoltaic system.
单相并网光伏逆变器通常用于将电力反馈给公用事业。本研究旨在探讨一种可替代的光伏逆变器拓扑方法,该方法在光伏并网应用的直流链路上使用电池。光伏组件的输出连接到DC/DC同步升压变换器,以提高系统电压,并从光伏阵列获得最大可用功率。采用PWM调制的单相半桥逆变器,在低通LC滤波器后产生正弦输出并网。讨论了其工作原理、性能和设计限制。仿真结果表明了该方法对光伏并网系统的适用性。
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引用次数: 1
Mimicking an Information Reservoir by Superconducting Quantum Circuits 用超导量子电路模拟信息库
Ufuk Korkmaz, Cem Sanga, Deniz Türkpençe
The dissipative model of quantum computation is proven to be equivalent to its circuit model. Particularly, multi-qubit gates require time-dependent control with optimized parameters for some specific problems. One such problem is the simulation of a quantum version of a perceptron that classifies quantum information as binary using the framework of open quantum systems. In this scheme, a probe qubit is in contact with multiple, distinct quantum information-bearing environments and returns a binary decision depending on its amplitude parameter in its steady state. We refer to these environments as quantum information reservoirs. We choose a standard quantum collisional model in which the reservoir parameters can be defined in detail. In this study, we present the analytical results of the proposed classifier with an application to the superconductor quantum circuits for a single information reservoir. We exploit the additivity of quantum dynamic maps for dissipative processes in the weak coupling regime where optimized time-dependent control is not required to achieve the classification result. We show that the current state-of-the-art for superconducting circuits allows for the physical implementation of dissipative quantum information processing in the presence of information reservoirs with realistic parameters.
证明了量子计算的耗散模型与其电路模型是等价的。特别是,对于某些特定问题,多量子位门需要具有优化参数的时变控制。其中一个问题是模拟量子版本的感知器,该感知器使用开放量子系统的框架将量子信息分类为二进制。在该方案中,探测量子位与多个不同的量子信息承载环境接触,并根据其稳定状态下的振幅参数返回二进制决策。我们把这些环境称为量子信息库。我们选择了一个可以详细定义储层参数的标准量子碰撞模型。在这项研究中,我们给出了该分类器的分析结果,并将其应用于单一信息库的超导体量子电路。我们利用弱耦合状态下耗散过程的量子动态映射的可加性,在弱耦合状态下,不需要优化的时变控制来获得分类结果。我们表明,目前超导电路的最新技术允许在具有现实参数的信息库存在的情况下物理实现耗散量子信息处理。
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引用次数: 3
Orbital Characterization Study for the Hydrodynamic Micro Tweezers: Simulated Performance with a Passive Particle 流体动力微镊子的轨道特性研究:被动粒子的模拟性能
Jiyan Sürer, Senanur Düzenli, A. Tabak
Trapping and selecting a particle intelligently is aspired for the robotic systems in bioengineering. The key element of the process is not to damage the sample when working at a micro-scale. With physical damage, not only the sample would be lost but also the experimental measurements would be useless. The tweezer aims to capture, trapping and manipulating the micro-scale particles. Many types of research presented that there exist diverse types of tweezers which can manipulate particles to a degree. With the help of the hydrodynamic micro tweezer, the particle can be easily captured, manipulated. Furthermore, the stable trajectory of the particle can be determined thanks to the mathematical model presented here. In this paper, we investigated orbital stability and conducted characterization simulations for a hydrodynamic micro tweezers system capturing a rigid spherical particle.
智能捕获和选择粒子是生物工程机器人系统所追求的目标。该工艺的关键要素是在微尺度下工作时不损坏样品。由于物理损伤,不仅样品会丢失,而且实验测量也会失效。镊子的目的是捕获、捕获和操纵微观尺度的粒子。许多类型的研究表明,存在不同类型的镊子,可以在一定程度上操纵粒子。借助流体动力微镊子,可以很容易地捕获、操纵颗粒。此外,利用本文提出的数学模型,可以确定粒子的稳定轨迹。在本文中,我们研究了捕获刚性球形粒子的流体动力微镊子系统的轨道稳定性并进行了表征模拟。
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引用次数: 0
A Novel Approach on Unsupervised Dynamic Background Extraction Using Autoencoders 一种基于自编码器的无监督动态背景提取方法
Ali Nuri Şeker, Hüseyin Doğan, Muhammet Üsame Öziç
In this Study a novel method has been used for extracting the background from given images. Different from the existing approaches, a Convolutional Neural Network (CNN) Autoencoder (AE) has been trained with frames produced from the same stationary camera source, paired with random frames from the same pool for each sample as a label. A little over 4000 RGB images with the dimensions of 640x480 has been used for training and around 450 of them was used for testing. The mentioned model has 4 convolutional layers each in encoder and decoder sections. The training was conducted for 500 epochs and the value of epoch loss went down to 2.13x10-3 and 2.38x10-3 for training and validation respectively. After the training of the model, generated background samples were subtracted from the input images and was turned into a binary image using two different segmentation methods: HSV Thresholding and OTSU. To use as the ground truth, test images were hand labeled. Mentioned approach had an F1-score of 62.36% for HSV Thresholding and 69.63% for OTSU methods.
本文提出了一种从给定图像中提取背景的新方法。与现有方法不同的是,卷积神经网络(CNN)自动编码器(AE)使用来自相同固定摄像机源的帧进行训练,并将来自同一样本池的随机帧配对作为标签。4000多张尺寸为640x480的RGB图像用于训练,其中约450张用于测试。上述模型在编码器和解码器部分各有4个卷积层。经过500次epoch的训练,训练和验证的epoch损失值分别降至2.13x10-3和2.38x10-3。模型训练完成后,从输入图像中减去生成的背景样本,使用HSV阈值分割和OTSU两种不同的分割方法将其分割为二值图像。为了作为基础事实,测试图像被手工标记。HSV阈值法的f1得分为62.36%,OTSU法的f1得分为69.63%。
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引用次数: 0
Real-Time Implementation of an Interval Type-2 Fuzzy Logic Controller for the Trajectory Tracking of an UAV 区间2型模糊逻辑控制器在无人机轨迹跟踪中的实时实现
K. O. Canbek, Y. Oniz
In this study, a Type-2 Fuzzy Logic Controller that directly generates the necessary control signals is used to achieve the trajectory tracking control of an unmanned aerial vehicle (UAV). The proposed control scheme takes the quadcopter’s divergence from the given trajectory and its derivative as inputs. A type-1 fuzzy logic controller is also designed and implemented on the quadcopter to assess the performance of the type-2 controller. Real-time flight experiments are conducted for a skewed circular trajectory. The results of these experiments show that the type-2 fuzzy controller provides better transient and steady-state response compared to a conventional fuzzy controller.
在本研究中,使用直接产生必要控制信号的2型模糊逻辑控制器来实现无人机的轨迹跟踪控制。所提出的控制方案以四轴飞行器与给定轨迹的散度及其导数为输入。在四轴飞行器上设计并实现了1型模糊控制器,以评估2型控制器的性能。对斜圆弹道进行了实时飞行实验。实验结果表明,与传统模糊控制器相比,2型模糊控制器具有更好的暂态和稳态响应。
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引用次数: 2
Research Problems and Methods in Big Data Analytics for Knowledge Discovery from Customer Feedback 客户反馈知识发现的大数据分析问题与方法研究
T. Georgieva-Trifonova, Miroslav Galabov, Martin Djonov
In the present paper, the recent research on the usage of big data analytics methods in knowledge discovery from the customer feedback is examined. The aim is to distinguish and summarize the main cases of application; to indicate the necessary data types and the corresponding appropriate methods. In addition, big data analytics methodologies are studied and a framework is proposed for adaption of the big data analytics process to support extracting useful information from customer feedback.
本文对大数据分析方法在客户反馈知识发现中的应用研究进行了综述。目的是区分和总结主要的应用案例;指示必要的数据类型和相应的适当方法。此外,还研究了大数据分析方法,并提出了一个框架,用于适应大数据分析过程,以支持从客户反馈中提取有用的信息。
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引用次数: 0
Covid-19 X-ray image classification using SVM based on Local Binary Pattern 基于局部二值模式的SVM新冠肺炎x射线图像分类
Saif Al-jumaili, Athar Al-azzawi, A. Duru, A. Ibrahim
Coronavirus usually transmits from the animal to the human, but now, the virus transmission is between persons. Therefore, scientists and researchers are trying to develop several types of machine learning methods to defend against COVID-19. Medical images play a significant role in this time due to they can be used to recognize COVID-19 accurately. However, in this paper, we used X-Ray images, the images undergone to sharpening techniques to increase the results further. The texture techniques named local binary pattern (LBP) have been used in order to extract features. The features obtained were applied to the support vector machine (SVM). The results we achieved were 100% for all performance measurements. Our results were conspicuously superior compared to the state-of-the-art papers published.
冠状病毒通常由动物传播给人类,但现在,病毒在人与人之间传播。因此,科学家和研究人员正在努力开发几种类型的机器学习方法来防御COVID-19。医学图像在这一时期发挥着重要作用,因为它们可以用来准确识别COVID-19。然而,在本文中,我们使用x射线图像,图像经过锐化技术,以进一步增加结果。采用局部二值模式(LBP)纹理技术提取特征。将得到的特征应用于支持向量机(SVM)。在所有性能测量中,我们达到了100%的结果。我们的研究结果明显优于已发表的最先进的论文。
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引用次数: 6
期刊
2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
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