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

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Lisanssız Yazılım Kullanımı ve Farkındalık
Büşra Şahın Şımşek, İnan Güler
The use of unlicensed software can be vulnerable to cyber-attacks that cause a lot of material or moral loss. This study conducted a survey of unlicensed software usage. Research aims to measure the level of pirated software usage and community awareness. The data is collected in Turkey. As a result of the information obtained, an overall assessment has been made, recommendations are given to reduce the use and adverse effects of unlicensed software.
使用未经授权的软件容易受到网络攻击,造成大量的物质或精神损失。这项研究对未授权软件的使用情况进行了调查。研究的目的是衡量盗版软件的使用水平和社区意识。数据是在土耳其收集的。根据收集到的资料,本署已作出全面评估,并提出建议,以减少使用未经授权的软件及其不良影响。
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引用次数: 0
Geometry Optimization of Wireless Capacitive Power Transfer Plates for Electrical Vehicle 电动汽车无线电容式功率传输板的几何优化
Noor Qasim Atiyah Alsaedi, Muhammet Tahir Guneser
In this study we proposed capacitive power transfer (CPT) plate coupler of four-plates using for large distance airgap. We evaluated the effect of square and circular plates. In this study we compared capacitive horizontal plates and vertical plates and find the outcome of different size to maintain the coupling of two plates side. This model coupler circuit is approaching, making an allowance for all coupling capacitors. Highly power transfer (high plate voltage) and resonating coupler have been supplied by using the Double-sided LCLC compensated topology of circuit. The coupler circuit model easy to design the compensation circuit parameters. Analysis of Finite-element is used the coupling to simulate capacitance and choose the sizes of coupler. performance of circuit is simulated in ANSYS to proposal the precise parameter values.
本文提出了一种用于大距离气隙的四极板电容式功率传输耦合器。我们评估了方形板和圆形板的效果。在本研究中,我们比较了电容性水平板和垂直板,并找出了不同尺寸的电容性水平板和垂直板维持两板侧耦合的结果。这个模型的耦合器电路正在接近,使所有的耦合电容器的余量。采用双侧LCLC补偿拓扑结构提供了高功率传输(高极板电压)和谐振耦合器。该耦合器电路模型便于设计补偿电路参数。采用有限元分析方法对耦合进行电容模拟,选择耦合的尺寸。在ANSYS中对电路的性能进行了仿真,提出了精确的参数值。
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引用次数: 0
Image-Based Tomato Maturity Classification and Detection Using Faster R-CNN Method 基于图像的快速R-CNN番茄成熟度分类与检测
S. Widiyanto, D. T. Wardani, Singgih Wisnu Pranata
Tomato is one of the cultivations that is often used for gardening. Tomato also has high demands on the market as it’s used for daily needs and occurred for many cuisines. Tomato comes in several colors such as red, orange, and green. Their color could tell their maturity levels too. Tomato grows in several quantities even only on one branch. So as the technologies grow, the computer also could be trained to understand what tomato is and how does it look like. Using computer vision, the computer could tell tomatoes according to their color. For this study, the computer will be trained using Faster R-CNN models to recognize the tomato maturity as Faster R-CNN known support for the image classification and object detection. The accuracy for classification in validation stage about 98,70% in average. For the object detection the model has confidentiality about 96,20% to detect the tomato maturity.
番茄是一种经常用于园艺的栽培作物。西红柿在市场上也有很高的需求,因为它被用于日常需求,并且出现在许多菜肴中。西红柿有几种颜色,如红色、橙色和绿色。它们的颜色也可以表明它们的成熟程度。即使在一根树枝上,番茄也能长出好几个量。因此,随着技术的发展,计算机也可以被训练来理解番茄是什么以及它的样子。利用计算机视觉,计算机可以根据西红柿的颜色来识别它们。在本研究中,计算机将使用Faster R-CNN模型进行训练,以识别西红柿成熟度,作为已知的更快R-CNN对图像分类和目标检测的支持。验证阶段的分类准确率平均约为98.70%。对于目标检测,该模型对番茄成熟度的保密性约为96.20%。
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引用次数: 2
Data Transformation from SQL to NoSQL MongoDB Based on R Programming Language 基于R编程语言的MongoDB从SQL到NoSQL的数据转换
F. Hasan, Muhamad Shahbani Abu Bakar
Owing to their high availability and scalability, NoSQL databases are becoming more popular for Big data applications in web analytics and supporting large websites. Moreover, each NoSQL system has its API which does not support industry standards like SQL and JDBC, integrating these systems with other enterprise and reporting software takes more time. The main requirements of Big data and data analytics are transforming the data from SQL databases to NoSQL data structures to represent the data. In this work, we presented a method to transform the data from different types of SQL databases to the desired NoSQL database based on the R programming language. The proposed work is based on the R environment used to handle the data from the source system to the target databases and meet the data quality requirements in data transformation. The results confirmed that the development provided a good solution for the data transformation from SQL to NoSQL by taking into account the data quality requirements.
由于其高可用性和可扩展性,NoSQL数据库在web分析和支持大型网站的大数据应用中越来越受欢迎。此外,每个NoSQL系统都有自己的API,这些API不支持SQL和JDBC等行业标准,将这些系统与其他企业和报表软件集成需要更多的时间。大数据和数据分析的主要要求是将数据从SQL数据库转换为NoSQL数据结构来表示数据。在这项工作中,我们提出了一种基于R编程语言将不同类型的SQL数据库中的数据转换为所需的NoSQL数据库的方法。建议的工作基于R环境,用于处理从源系统到目标数据库的数据,并满足数据转换中的数据质量要求。结果表明,该开发兼顾了数据质量要求,为从SQL到NoSQL的数据转换提供了较好的解决方案。
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引用次数: 4
Systems Analysis and Design of Gear Drives through Innovative Software Approach 基于创新软件方法的齿轮传动系统分析与设计
S. Stoyanov, A. Dobreva
An analysis of the necessity to increase the energy efficiency of gear drive components is carried out. Theoretical models of drive systems have been studied. The necessity of improving the tribology parameters has been determined. The research has been implemented based upon improved methodology, which envisages the definition of criteria for analysis and optimization of components of gear drives with a relative equal degree of significance. The methodology applied is enriched with an additional stage of the design process, included at a very early stage of the conceptual layout procedure. Besides, the methodology includes the application of an innovative method which is a part of the procedure of optimization of tribology and kinematic parameters. This approach is related to the study of worm gear parameters with specialized software by applying the interpolation method. The systems analysis performed imposes the conclusion that the results and contributions achieved through the research can be used by the industry and by the scientific community.
分析了提高齿轮传动元件能效的必要性。研究了驱动系统的理论模型。确定了改进摩擦学参数的必要性。该研究已实施基于改进的方法,它设想的标准的定义,为分析和优化的齿轮传动元件具有相对同等程度的意义。所应用的方法在设计过程的一个附加阶段得到了丰富,包括在概念布局过程的非常早期阶段。此外,该方法还包括一种创新方法的应用,该方法是摩擦学和运动参数优化过程的一部分。该方法是应用插补方法,利用专门的软件对蜗轮蜗杆参数进行研究。所进行的系统分析得出的结论是,通过研究获得的结果和贡献可以为工业界和科学界所用。
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引用次数: 1
Simple Synthetic ECG Generation via PWM Output of Microcontroller 通过单片机PWM输出产生简单的合成心电
Beyza Nur Usta, Berranur Tepeyurt, E. Karakulak
Bio-potential signal generators are widely used for education, testing of devices and scientific purposes. Due to their high prices, these generators cannot be supplied in sufficient numbers. In this study, an ECG generator that generates a simple synthetic ECG and is inexpensive is proposed. The generator obtains the ECG signal with a simple ECG model and the internal Pulse Width Modulation (PWM) port of the microcontroller is used to obtain the analog signal. In this way, an ECG signal generator can be obtained with less electronic material. The circuit is built and the experimental results of the circuit are given.
生物电位信号发生器广泛用于教育、设备测试和科学目的。由于价格高昂,这些发电机无法供应足够的数量。在本研究中,提出了一种产生简单的合成心电且价格低廉的心电发生器。该发生器采用简单的心电模型获取心电信号,并利用单片机内部的脉宽调制(PWM)端口获取模拟信号。通过这种方法,可以用较少的电子材料获得心电信号发生器。搭建了该电路,并给出了实验结果。
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引用次数: 3
Data Mining Techniques for the Classification of Medical Cases: A Survey 医学案例分类的数据挖掘技术综述
Oluwaseun Priscilla Olawale, Fezile Ozdamli, Kamil Dimililer
One of the rich data fields is the biomedical realm. There are detailed biomedical records, ranging from clinical conditions to different types of biochemical data and imaging equipment outputs. However, the manual extraction and transformation of biomedical patterns into mechanically comprehensible information is a cumbersome challenge since the biomedical field includes broad, dynamic, and complex knowledge. The main focus of this study is to analyze some of the available data mining patterns for the classification of medical cases with the systematic literature review method. Its emphasis is on studying techniques that are commonly used for the prognosis, classification, prediction, and treatment-related to recurrent and significant diseases like cancer, hepatitis, and cardiac diseases. Data mining can enhance healthcare choices and patient survival time. The researchers of this study hope that this research provides information on the data mining classification algorithms used to study medical cases that are not even mentioned in this study.
其中一个丰富的数据领域是生物医学领域。有详细的生物医学记录,从临床情况到不同类型的生化数据和成像设备输出。然而,由于生物医学领域包含广泛、动态和复杂的知识,人工提取生物医学模式并将其转换为机械可理解的信息是一项繁琐的挑战。本研究的主要重点是运用系统文献综述的方法,分析一些可用的医学病例分类数据挖掘模式。它的重点是研究通常用于预后、分类、预测和治疗与复发和重大疾病相关的技术,如癌症、肝炎和心脏病。数据挖掘可以提高医疗保健选择和患者生存时间。本研究的研究人员希望本研究能够提供本研究中甚至没有提到的用于研究医学案例的数据挖掘分类算法的信息。
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引用次数: 1
Testing of a Deep Learning Model Providing Monocular Depth Estimation on Mobile Devices via Web Service 基于Web服务的移动设备单目深度估计深度学习模型的测试
Alper Tunga Akın, Ç. Cömert
Augmented reality applications running on smartphones or tablets are becoming increasingly common. It is crucial to extract the physical structure of the scene perceived by the device camera in these applications. In such applications, employed in education, navigation and obstacle notification, the distance information between the device camera and the object must be derived and processed with sufficient accuracy and speed. In this study, the deep learning model, named "From Big To Small (BTS)", with superior performance metrics in depth extraction according to the literature reviews, was transformed into a web service and tested on an Android phone. Thus, a deep learning model with a high computational cost will be available on an Android device with average processing power. Test results were examined, and improvements were discussed.
在智能手机或平板电脑上运行的增强现实应用程序正变得越来越普遍。在这些应用中,提取设备摄像机感知到的场景的物理结构是至关重要的。在这些应用中,用于教育、导航和障碍物通知,设备相机与物体之间的距离信息必须以足够的精度和速度导出和处理。在本研究中,根据文献综述,我们将深度提取的性能指标从大到小(From Big To Small,简称BTS)深度学习模型转化为web服务,并在Android手机上进行测试。因此,一个计算成本高的深度学习模型将在处理能力一般的Android设备上可用。对试验结果进行了检验,并讨论了改进措施。
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引用次数: 1
Nonlinear Modeling and Robust Control of a Quadrotor UAV under Uncertain Parameters and White Gaussian Noise 不确定参数和高斯白噪声下四旋翼无人机的非线性建模与鲁棒控制
Mehmet Karahan, A. Akay, C. Kasnakoğlu
Latest progresses in sensors and information systems have accelerated the progress of unmanned aerial vehicles. Quadrotor unmanned aerial vehicles (UAVs) have the ability to take off and land vertically. Thanks to this feature, unlike conventional unmanned aerial vehicles, it does not need a long runway to take off. Its four propellers and vertical takeoff and landing feature give it the ability to hover and maneuver like helicopters. In this study, nonlinear modeling and robust controller design of a quadrotor UAV under parameter uncertainty and white Gaussian noise disturbance are explained. Nonlinear modeling of the Quadrotor UAV was done using MATLAB/Simulink. Altitude reference and attitude angles following capabilities of the quadrotor UAV have been tested with various simulations under ideal conditions, under uncertain parameters and under white Gaussian noise. The obtained results show that the robust controller can successfully track given references under normal conditions, under uncertain parameters and under noisy conditions.
传感器和信息系统的最新进展加速了无人机的发展。四旋翼无人机(uav)具有垂直起降能力。由于这一特点,与传统的无人机不同,它不需要很长的跑道起飞。它的四个螺旋桨和垂直起降功能使它能够像直升机一样悬停和机动。研究了参数不确定性和高斯白噪声干扰下四旋翼无人机的非线性建模和鲁棒控制器设计。利用MATLAB/Simulink对四旋翼无人机进行了非线性建模。在理想条件下、参数不确定条件下和高斯白噪声条件下,对四旋翼无人机的高度参考和姿态角跟踪能力进行了仿真测试。结果表明,该鲁棒控制器在正常情况下、参数不确定情况下和噪声条件下都能成功地跟踪给定参考点。
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引用次数: 5
Cognex 2D Camera Calibration as 6-axis Robot Tool Automation 康耐视二维相机标定作为六轴机器人工具自动化
B. Kostov, V. Hristov
In the present work, an algorithm for calibrating a 2D camera as a tool for a 6-axis robot is presented. The aim of the present development is to introduce a new, faster, precise, and more reliable way to calibrate a camera as a robot tool. From the proposed algorithm optimization of the time, it takes to calibrate the camera and start programming is achieved. The time is decreased by 80% and the accuracy and reliability of the system are increased.
在本工作中,提出了一种用于标定二维相机作为六轴机器人工具的算法。目前发展的目的是引入一种新的、更快、更精确、更可靠的方法来校准作为机器人工具的相机。从所提出的算法优化时间出发,实现了摄像机标定和开始编程。缩短了80%的时间,提高了系统的精度和可靠性。
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引用次数: 4
期刊
2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
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