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Classification of Resampled Pediatric Epilepsy EEG Data Using Artificial Neural Networks with Discrete Fourier Transforms 利用离散傅立叶变换的人工神经网络对重新采样的小儿癫痫脑电图数据进行分类
IF 1.3 4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-12-13 DOI: 10.5755/j02.eie.34433
Temel Sonmezocak, Gizem Guler, Merih Yildiz
Epilepsy is a neurological disorder commonly observed in children. Currently, electroencephalography (EEG) is widely used as the most important diagnostic method for epilepsy in medical practice. The diagnosis of epilepsy in pediatric patients is challenging due to their high level of activity and incomplete brain development. In this study, data sampled at 256 Hz were obtained from patients between the ages of 7–12, collected by Boston Children’s Hospital. First, the image intervals that contain seizure waves were identified in the datasets, and the discrete-time Fourier transform (DFT) was applied. The amplitude-frequency features of the frequency spectrum in seizure and nonseizure states were obtained, and patients were classified for seizure detection using a multilayer perceptron (MLP) based on an artificial neural network (ANN) architecture. In the next step, the EEG signals were resampled at low frequencies, and the same analyses were repeated to minimise the disadvantages of limiting factors such as storage space and processing power, resulting in reduced storage space usage and more efficient performance.
癫痫是一种常见于儿童的神经系统疾病。目前,脑电图(EEG)作为最重要的癫痫诊断方法在医疗实践中得到广泛应用。由于小儿活动量大,大脑发育不完全,因此诊断小儿癫痫具有挑战性。在这项研究中,波士顿儿童医院从 7-12 岁的患者身上获取了采样率为 256 Hz 的数据。首先,在数据集中识别出包含癫痫发作波的图像区间,然后应用离散时间傅里叶变换(DFT)。然后,利用基于人工神经网络(ANN)架构的多层感知器(MLP)对患者进行分类,以检测癫痫发作。下一步,对脑电图信号进行低频重采样,并重复相同的分析,以尽量减少存储空间和处理能力等限制因素的不利影响,从而减少存储空间的使用,提高性能效率。
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引用次数: 0
Design of a High-Performance Control Scheme for a Grid-Connected DFIG‐Based Wind Energy Conversion System Using Model Predictive Control and Hysteresis Model 利用模型预测控制和滞后模型为基于并网双馈变流器的风能转换系统设计高性能控制方案
IF 1.3 4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-12-13 DOI: 10.5755/j02.eie.34722
Hamed Kamel Eddine Zine, Abed Khoudir
In this paper, we present a novel design and development of wind energy conversion systems (WECS) for a doubly-fed induction generator (DFIG). A hysteresis current control is used to improve the DC bus for rectifier and smart current control by model predictive of three-level-NPC (3L-NPC) inverter. The advantages of this intelligent method are such as fast dynamic answers and the easy implementation of nonlinearities, and that it requires fewer calculations to choose the best switching state. In addition, an innovative algorithm is proposed to adjust the current ripples and output voltage harmonics of the wind energy conversion system. The performance of the system was analysed by simulation using MATLAB/Simulink.
本文针对双馈感应发电机(DFIG)提出了一种新型风能转换系统(WECS)的设计和开发方法。采用磁滞电流控制来改善整流器的直流母线,并通过三电平-NPC(3L-NPC)逆变器的模型预测来实现智能电流控制。这种智能方法的优点是动态响应速度快,易于实现非线性特性,而且选择最佳开关状态所需的计算量较少。此外,还提出了一种创新算法来调节风能转换系统的电流纹波和输出电压谐波。使用 MATLAB/Simulink 对系统性能进行了仿真分析。
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引用次数: 0
Simulation of Autonomous Driving for a Line-Following Robotic Vehicle: Determining the Optimal Manoeuvring Mode 线路跟踪机器人车辆的自主驾驶模拟:确定最佳操纵模式
IF 1.3 4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-12-13 DOI: 10.5755/j02.eie.32364
Murat Bakirci
Mobile robotic systems offer valuable test platforms due to their shared features with autonomous vehicles, including features such as sensor technologies, navigation algorithms, and control systems. However, constraints in laboratory environments or technical resources, along with the need for extensive testing, often necessitate the use of virtual test laboratories. While line-following is a widely preferred application in mobile robotics, research on this topic within virtual laboratories is limited. This study pioneers the use of a car-like robotic vehicle in conducting line-following tests within a virtual laboratory environment. To facilitate these tests, a virtual simulator was developed to meet the requirements of realistic simulations. This simulator includes simulated elements, such as roads and environmental features, along with virtual sensors designed to collect and process dynamic motion data. An exceptional aspect of this study is its ability to collect consistent dynamic travel data by sampling realistic sensor information within a virtual environment. The developed line-following algorithm employs a controller to minimise lateral deviation while the robotic vehicle follows a road line during its movement. The study conducted virtual driving tests using two different manoeuvre modes on four distinct road segments, exploring how the manoeuvring style influences the driving quality. It was demonstrated that in the low manoeuvre mode, the ride is more comfortable, but exhibits a greater route deviation due to reduced oscillation, while the high manoeuvre mode exhibits the opposite behaviour.
移动机器人系统具有与自动驾驶汽车相同的特点,包括传感器技术、导航算法和控制系统等,因此可提供宝贵的测试平台。然而,由于实验室环境或技术资源的限制,加上需要进行大量测试,因此往往需要使用虚拟测试实验室。虽然直线跟踪是移动机器人技术中广受青睐的应用,但在虚拟实验室中对这一主题的研究却十分有限。本研究开创性地在虚拟实验室环境中使用类似汽车的机器人车辆进行线路跟踪测试。为了方便这些测试,我们开发了一个虚拟模拟器,以满足真实模拟的要求。该模拟器包括道路和环境特征等模拟元素,以及用于收集和处理动态运动数据的虚拟传感器。这项研究的一个特别之处在于,它能够通过在虚拟环境中采样真实的传感器信息来收集一致的动态行驶数据。所开发的线路跟踪算法采用了一种控制器,在机器人车辆移动过程中跟踪道路线路时,将横向偏差降到最低。研究使用两种不同的操纵模式在四个不同的路段进行了虚拟驾驶测试,探索操纵方式如何影响驾驶质量。结果表明,在低机动模式下,驾驶更加舒适,但由于振荡减小,路线偏离较大,而高机动模式则表现相反。
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引用次数: 0
Deep Learning Method for Power Side-Channel Analysis on Chip Leakages 针对芯片泄漏的电源侧通道分析的深度学习方法
IF 1.3 4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-12-13 DOI: 10.5755/j02.eie.34650
Amjed Abbas Ahmed, Rana Ali Salim, Mohammad Kamrul Hasan
Power side channel analysis signal analysis is automated using deep learning. Signal processing and cryptanalytic techniques are necessary components of power side channel analysis. Chip leakages can be found using a classification approach called deep learning. In addition to this, we do this so that the deep learning network can automatically tackle signal processing difficulties such as re-alignment and noise reduction. We were able to break minimally protected Advanced Encryption Standard (AES), as well as masking-countermeasure AES and protected elliptic-curve cryptography (ECC). These results demonstrate that the attacker knowledge required for side channel analysis, which had previously placed a significant emphasis on human abilities, is decreasing. This research will appeal to individuals with a technical background who have an interest in deep learning, side channel analysis, and security.
电力侧信道分析信号分析利用深度学习实现自动化。信号处理和密码分析技术是电源侧信道分析的必要组成部分。芯片泄漏可以通过一种名为深度学习的分类方法找到。除此之外,我们这样做是为了让深度学习网络能够自动解决信号处理难题,如重新对齐和降噪。我们能够破解受最小保护的高级加密标准(AES),以及掩码对策 AES 和受保护的椭圆曲线加密(ECC)。这些结果表明,侧信道分析所需的攻击者知识正在减少,而以前的侧信道分析非常强调人的能力。这项研究将吸引对深度学习、侧信道分析和安全感兴趣的有技术背景的人。
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引用次数: 0
Time-Based High-Pass, Low-Pass, Shelf, and Notch Filters 时基高通、低通、搁栅和陷波滤波器
IF 1.3 4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-12-13 DOI: 10.5755/j02.eie.35277
Nicolai J. Dahl, P. L. Muntal, Michael A. E. Andersen
This paper presents formulations for time-based first-order and second-order high-pass, shelf, and notch filters. These formulations are an extension to the existing literature where low-pass filters are already developed using a multiphase controlled oscillator in conjunction with a phase detector and charge pump. The presented high-pass filter expands the circuit by introducing a current-controlled delay line (CCDL) that provides a direct path from input to output. By combining the high-pass filter with the low-pass filter, we show that shelf and notch filters can be obtained without an increase in circuit complexity compared to the high-pass filter. The results show good matching between the ideal small signal and the simulated time-based large signal frequency response. The simulated of total harmonic distortion for the filters shows an increase in distortion due to the nonlinearities introduced by the CCDL for the high-pass, notch, and shelf filter compared to the existing low-pass filter. The derivation of the new filter types allows the creation of complex high-order time-based filters by combining multiple first- or second-order filters.
本文介绍了基于时间的一阶和二阶高通、搁架和陷波滤波器的公式。这些公式是对现有文献的扩展,在现有文献中,低通滤波器已利用多相控制振荡器与相位检测器和电荷泵共同开发。所介绍的高通滤波器通过引入电流控制延迟线 (CCDL),提供了一条从输入到输出的直接路径,从而扩展了电路。通过将高通滤波器与低通滤波器相结合,我们发现与高通滤波器相比,可以在不增加电路复杂性的情况下获得搁架滤波器和陷波滤波器。结果表明,理想的小信号与模拟的基于时间的大信号频率响应之间匹配良好。滤波器的总谐波失真模拟结果表明,与现有的低通滤波器相比,CCDL 为高通、陷波和搁架滤波器引入的非线性导致失真增加。新滤波器类型的推导允许通过组合多个一阶或二阶滤波器来创建复杂的高阶时基滤波器。
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引用次数: 0
Optimum Design of an 18-Pulse Phase Shifting Autotransformer Rectifier to Improve the Power Quality of Cascaded H-Bridge Motor Driver 优化设计 18 脉冲移相自耦变压器整流器以改善级联 H 桥电机驱动器的电能质量
IF 1.3 4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-12-13 DOI: 10.5755/j02.eie.35126
Adil Alahmad, F. Kaçar, Cengiz Polat Uzunogl
Due to its simplicity, efficiency, and dependability, the multipulse rectifier is widely used in electrical systems. In the presented work, an optimum design of an 18-pulse rectifier is achieved by comparing the most used configurations on the market. The 18-phase shifting autotransformer (18-PSAT) rectifier is a cheaper alternative to conventional rectifiers to reduce system harmonics. After a thorough study of the market needs and available use, this paper discusses four different structures that provide harmonic levels according to IEEE 519 limitations. An innovative 18-PSAT is shown, studied, simulated, produced, and tested with low power loss rates. The Delta differential configuration primarily emphasises lowering the loss power rating for improved power quality. With its simple structure, easy assembly, and direct connection to diodes, the proposed Delta differential configuration provides higher power quality and can cancel harmonics. To determine which 18-PSAT rectifier unit has the best weight, size, and power quality, a comparison of the selected topologies is made. A comprehensive comparison of each topology has simulation results showing current, voltage, and total harmonic distortion (THD) using MATLAB Simulink. The simulation results show that the total harmonic distortion is under 2.9 % when adopting the suggested Delta differential configuration topology. Compared to other designs, the suggested 18-pulse layout reduces overall cost and footprint by a large margin. It is also demonstrated that the DC load power is about 85 % of the recommended rectifier rating.
由于其简单、高效和可靠,多脉冲整流器在电气系统中得到了广泛应用。在本文中,通过比较市场上最常用的配置,实现了 18 脉冲整流器的优化设计。18 相移位自耦变压器(18-PSAT)整流器是传统整流器的廉价替代品,可减少系统谐波。在对市场需求和现有用途进行深入研究后,本文讨论了四种不同的结构,这些结构可提供符合 IEEE 519 限制的谐波水平。本文展示、研究、模拟、生产和测试了一种具有低功率损耗率的创新型 18-PSAT。三角差分结构主要强调降低额定损耗功率,以提高电能质量。由于其结构简单、易于组装、可直接连接二极管,拟议的三角差分配置可提供更高的电能质量,并能消除谐波。为了确定哪种 18-PSAT 整流器装置的重量、尺寸和电能质量最佳,我们对所选拓扑结构进行了比较。使用 MATLAB Simulink 对每种拓扑结构进行了综合比较,模拟结果显示了电流、电压和总谐波失真(THD)。仿真结果表明,采用建议的三角洲差分配置拓扑时,总谐波失真低于 2.9%。与其他设计相比,建议的 18 脉冲布局大大降低了总体成本和占地面积。仿真结果还表明,直流负载功率约为建议整流器额定功率的 85%。
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引用次数: 0
A Parallel Connected Hybrid Microstrip-Substrate Integrated Waveguide Bandstop Filter 并联混合微带-基底集成波导带阻滤波器
IF 1.3 4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-12-13 DOI: 10.5755/j02.eie.31628
Kemal Guvenli, S. Yenikaya, Mustafa Secmen
This study presents an original parallel connected hybrid microstrip-substrate integrated waveguide (PCHM-SIW) bandstop filter. A low-pass filter implemented on a microstrip structure and a SIW-based high-pass filter are connected in parallel to each other. In this way, the aim is to obtain a bandstop filter in the novel hybrid design. The parallel connected hybrid microstrip-substrate integrated waveguide (PCHM-SIW) bandstop filter is synthesised, simulated, and produced. The effects of connecting filters in parallel are discussed. It is seen from the results of CST Studio Suite simulation that PCHM-SIW bandstop filter has a bandwidth of 2.85 GHz and a center frequency of 4.26 GHz. The frequency change rate of the center frequency between simulation and measurement is 7.02 % where it is just 3.76 % for the deviation in bandwidth. The results of the simulation and those of the measurement are close to each other. These results converge to ideal analytical results.
本研究提出了一种独创的并联混合微带-基底集成波导(PCHM-SIW)带阻滤波器。在微带结构上实现的低通滤波器和基于 SIW 的高通滤波器相互并联。这样,新型混合设计就能获得带阻滤波器。我们合成、模拟并制作了并联混合微带-基底集成波导(PCHM-SIW)带阻滤波器。讨论了并联滤波器的效果。从 CST Studio Suite 仿真结果可以看出,PCHM-SIW 阻带滤波器的带宽为 2.85 GHz,中心频率为 4.26 GHz。模拟与测量之间的中心频率变化率为 7.02%,而带宽偏差仅为 3.76%。模拟结果和测量结果非常接近。这些结果趋近于理想的分析结果。
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引用次数: 0
Identifying the Causes of Ship Collisions Accident Using Text Mining and Bayesian Networks 利用文本挖掘和贝叶斯网络识别船舶碰撞事故的原因
IF 1.3 4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-12-13 DOI: 10.5755/j02.eie.35630
Jianguo Yu, Zhihua Wu, Wei Liu, Wenji Zhao
Under the backdrop of the robust growth of the global economy, the water transport industry is experiencing rapid development, resulting in an increase in ship collisions and a critical water traffic safety situation. This study uses text mining techniques to gather a corpus of data. The corpus includes human factors, ship factors, natural environmental factors, and management factors, which are used as target data to obtain a high-dimensional sparse original feature vector space set comprising eigenvalues and eigenvalue weight attributes. Chi-square statistics are utilised to reduce dimensionality, resulting in a final set of 33-dimensional text feature items that determine the causal factors of ship collision risk. Taking the four steps involved in the collision process as the primary focus, a Bayesian network structure for ship collision risk is constructed based on the “human-ship-environment-management” system. By incorporating existing ship collision accident/danger reports, conditional probability tables are computed for each node in the Bayesian network structure, enabling the modelling of ship collision risk. The model is validated through an example, revealing that, under relevant conditions, the probability of collision exceeds 90 %. This finding demonstrates the validity of the model and allows one to deduce the primary cause of ship collision accidents.
在全球经济强劲增长的背景下,水上运输业正在经历快速发展,导致船舶碰撞事故增加,水上交通安全形势十分严峻。本研究利用文本挖掘技术收集数据语料。该语料库包括人为因素、船舶因素、自然环境因素和管理因素,以这些因素为目标数据,获得由特征值和特征值权重属性组成的高维稀疏原始特征向量空间集。利用卡方统计来降低维度,最终得到一组 33 维的文本特征项,用于确定船舶碰撞风险的因果因素。以船舶碰撞过程中的四个步骤为主线,构建了基于 "人-船-环境-管理 "系统的贝叶斯网络结构。结合现有的船舶碰撞事故/危险报告,计算出贝叶斯网络结构中每个节点的条件概率表,从而建立船舶碰撞风险模型。通过一个实例对模型进行了验证,结果表明,在相关条件下,碰撞概率超过 90%。这一发现证明了模型的有效性,并使人们能够推断出船舶碰撞事故的主要原因。
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引用次数: 0
BIOFOTONIKA KLASYCZNA I KWANTOWA Część 7 – TECHNIKI LABORATORYJNE, OBRAZOWANIE TERMOAKUSTYCZNE, FOTOAKUSTYCZNE, FOTOTERMALNE 经典和定量生物光子学 第 7 部分 - 实验室技术、热成像仪、光成 像仪、光成像仪
4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-10-30 DOI: 10.15199/13.2023.10.3
Ryszard Romaniuk
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引用次数: 0
SYSTEM ZARZĄDZANIA I AKWIZYCJI DANYCH DLA DRUKU 3D OKREŚLAJĄCY ILOŚĆ FILAMENTÓW I CZASU PRACY 用于 3d 打印的管理和数据采集系统,可指定长丝数量和运行时间
4区 工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2023-10-30 DOI: 10.15199/13.2023.10.5
Makowski Tomasz
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引用次数: 0
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Elektronika Ir Elektrotechnika
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