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Performance Comparison of CNN Based Hybrid Systems Using UC Merced Land-Use Dataset 基于UC Merced土地利用数据集的CNN混合系统性能比较
Pub Date : 2023-09-27 DOI: 10.21205/deufmd.2023257516
Fatma YAŞAR ÇIKLAÇANDIR, Semih UTKU
Remote sensing is the technology of collecting and examining data about the earth with special sensors. The data obtained are used in many application areas. The classification success of remote sensing images is closely related to the accuracy and reliability of the information to be used. For this reason, especially in recent studies, it is seen that Convolutional Neural Network (CNN), which has become popular in many fields, is used and high successes have been achieved. However, it is also an important need to obtain this information quickly. Therefore, in this study, it is aimed to get results as successful as CNN and in a shorter time than CNN. Hybrid systems in which features are extracted with CNN and then classification is performed with machine learning algorithms have been tested. The successes of binary combinations of two different CNN architectures (ResNet18, GoogLeNet) and four different classifiers (Support Vector Machine, K Nearest Neighbor, Decision Tree, Discriminant Analysis) have been compared with various metrics. GoogLeNet & Support Vector Machine (93.33%) is the method with the highest accuracy rate, while ResNet18 & Decision Tree (50.95%) is the method with the lowest accuracy rate.
遥感是用特殊的传感器收集和检查地球数据的技术。所获得的数据用于许多应用领域。遥感影像分类的成功与否与所使用信息的准确性和可靠性密切相关。因此,特别是在最近的研究中,我们看到卷积神经网络(Convolutional Neural Network, CNN)在很多领域都得到了应用,并取得了很大的成功。然而,快速获取这些信息也是一个重要的需求。因此,在本研究中,我们的目标是在比CNN更短的时间内获得和CNN一样成功的结果。用CNN提取特征,然后用机器学习算法进行分类的混合系统已经进行了测试。两种不同CNN架构(ResNet18, GoogLeNet)和四种不同分类器(支持向量机,K近邻,决策树,判别分析)的二值组合的成功已经与各种指标进行了比较。GoogLeNet,支持向量机(93.33%)的准确率最高,而ResNet18 &决策树(50.95%)是准确率最低的方法。
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引用次数: 0
Akustik Işıma Kuvvetiyle Milimetre Boyutundaki Katı Parçacıkların Tuzaklanması ve Ayrıştırılması 利用声辐射力捕获和分离毫米大小的固体颗粒
Pub Date : 2023-09-27 DOI: 10.21205/deufmd.2023257510
Nurettin KÖRÖZLÜ
Akustik ışıma kuvvetlerinden faydalanarak hava ortamında mm boyutundaki parçacıkların tuzaklanması ve manipülasyonu son zamanlarda yoğun ilgi gören çalışma alanlarından biridir. İki boyutlu fononik kristallerin çizgisel kusur durumları ile akustik ışıma kuvvetinden faydalanılarak havada mm boyutunda katı parçacıkların akustik metamalzeme mercekler ile manipülasyonu ve boyutlarına göre ayrıştırılması sayısal hesaplamalar ile gösterilmiştir. Bu yapılırken, Sonlu Elemanlar Yöntemiyle simülasyon hesabı yapılarak fononik kristallerin band yapıları elde edilmiştir. Çalışmada iki boyutlu fononik kristal ile oluşturulan bir dairesel halka çınlaçta yerçekimi ve akustik ışıma kuvvetlerinin birlikte etkisi ile küresel parçacıkların dairesel yörüngede hareketi sağlanmıştır. Hesaplamalarda 0.25 mm, 0.4 mm ve 0.55 mm çaplı polistiren küreciklerin hareketi t=0, 50, 100, 150, 200 ve 400 ms deki konumları incelenmeştir. Bütün parçacıklar dairesel düğüm çizgisini izleyerek belirtilen sürelerde yörüngenin yaklaşık olarak ¼, ½, ¾ ve 1 oranındaki kısımlarını kat etmişlerdir. t=400 ms anında 0.55 mm çaplı parçacık yaklaşık olarak iki turu tamamlarken, diğer parçacıklar sürüklenme kuvvetinden dolayı çizgisel hızlarını kaybetmekte ve düğüm çizgisinin en alt noktasında ayrışarak tuzaklanmaktadır.
利用声辐射力捕获和操纵空气中毫米大小的颗粒是最近引起强烈兴趣的研究领域之一。二维声子晶体的线性缺陷态以及声超材料透镜利用声辐射力在空气中操纵毫米大小的固体颗粒,并根据颗粒的大小将其分离,这些都通过数值计算得到了证明。同时,通过有限元法的模拟计算获得了声波晶体的带状结构。在这项研究中,利用二维声子晶体形成的圆形环状谐振器,在重力和声辐射力的共同作用下,使球形粒子沿圆形轨迹运动。研究分析了直径分别为 0.25 毫米、0.4 毫米和 0.55 毫米的聚苯乙烯球在 t=0、50、100、150、200 和 400 毫秒时的运动情况。在 t=400 毫秒时,直径为 0.55 毫米的粒子完成了大约两圈运动,而其他粒子则由于阻力而失去了线速度,被分离并被困在节点线的最低点。
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引用次数: 0
Elektromanyetik Alana Maruz Kalmış Kas Dokusunun Termal Analizi 对暴露于电磁场的肌肉组织进行热分析
Pub Date : 2023-09-27 DOI: 10.21205/deufmd.2023257514
Uğur SORGUCU
The interaction between electromagnetic fields and biological masses is increasing day by day. There are thousands of studies in the literature on this interaction. Until now, most of the studies on bio heat transfer have focused on damage caused by electromagnetic fields. However, the therapeutic side of electromagnetic fields has been neglected. This study aimed to bring a new perspective. Using the bio heat transfer equation, the temperature effect of different parameters due to the electromagnetic field was investigated. In the present study, the analytical solution of Pennes' bioheat transfer equation was evaluated together with real muscle tissue parameters. By trying different parameter variations, the effect of parameters such as perfusion constant and thermal conductivity coefficient on tissue warming was observed. In the light of this study, device designs for magnetic heating processes applied in physiotherapy will be possible. After entering the tissue parameters and electromagnetic field values, it was possible to find out what kind of temperature change can be observed as a result of the formulation obtained in this study. The effects of thermal conductivity coefficient, blood perfusion value and heat transfer coefficient on temperature distribution were graphically analyzed. Effect of randomly selected thermal parameters are evaluated within the study. This study has shown to what extent the increasing thermal parameters of the tissue will be affected by the electromagnetic field.
电磁场与生物之间的相互作用日益增强。关于这种相互作用的文献中有成千上万的研究。到目前为止,大多数关于生物传热的研究都集中在电磁场造成的损伤上。然而,电磁场的治疗作用却被忽视了。本研究旨在带来一个新的视角。利用生物传热方程,研究了不同参数对电磁场的温度效应。在本研究中,Pennes' s生物传热方程的解析解与实际肌肉组织参数一起进行了评估。通过尝试不同的参数变化,观察灌注常数、导热系数等参数对组织升温的影响。根据这项研究,磁加热过程应用于物理治疗的设备设计将成为可能。在输入组织参数和电磁场值后,就可以发现根据本研究得到的公式可以观察到什么样的温度变化。用图形分析了热导系数、血液灌注值和换热系数对温度分布的影响。在研究中对随机选择的热参数的影响进行了评估。本研究显示了电磁场对组织热参数的影响程度。
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引用次数: 0
Controlling the Motion of Interfaces in Capillary Channels with Non-uniform Surface Wettability 表面润湿性不均匀的毛细通道中界面运动的控制
Pub Date : 2023-09-27 DOI: 10.21205/deufmd.2023257513
Mehmet Alptug BOYLU, Umut CEYHAN
The use of self-driven flows in microfluidic devices attracts many researchers as the external flow-driving mechanism is diminished or eliminated. One of the mechanisms providing such motions is generating a pressure difference across interfaces as in the case of the motion in capillary tubes. The capillarity, namely, the pressure difference across the interface due to its curvature drives the motion. This pressure depends on the interaction with the capillary walls and is controlled if one varies the surface energy of the walls. In this study, we search for the effects of surface energy on the motion of interfaces in capillary-driven flow. To this end, we model the motion of fluid particles in a capillary channel and integrate the governing equations using the binary lattice Boltzmann method for the two-phase flow. We, first, validate our solver for canonical static and dynamic problems. We, then, discuss two main contributions; we show how to deviate the interface speed from the ones moving in channels with uniform wall energies and discuss the conditions under which such an interface stagnates (like a passive valve in a channel). Tuning the wettability of the channel walls, we provide a simple condition for stopping the interface: the summation of the equilibrium contact angles interface make with the channel walls at the bottom and top wall need to satisfy $theta_{eq}^{top}+theta_{eq}^{bot} geq pi$. Configurations and wetting properties of different wettability regions play major roles together
由于外部流动驱动机制的减少或消除,自驱动流在微流控装置中的应用吸引了许多研究人员的关注。提供这种运动的机制之一是在毛细管运动的情况下,在界面上产生压力差。毛细作用,即由于其曲率导致的界面上的压力差,驱动了运动。这种压力取决于与毛细管壁的相互作用,如果改变毛细管壁的表面能,这种压力是可控的。在这项研究中,我们寻找表面能对毛细管驱动流动中界面运动的影响。为此,我们建立了流体颗粒在毛细管通道中的运动模型,并使用二元晶格玻尔兹曼方法对两相流的控制方程进行了积分。首先,我们验证了我们的求解器对于典型的静态和动态问题。然后,我们讨论两个主要贡献;我们展示了如何使界面速度偏离具有均匀壁能的通道中运动的界面速度,并讨论了这种界面停滞的条件(如通道中的被动阀)。调整通道壁的润湿性,我们提供了一个简单的停止界面的条件:界面与底部和顶部通道壁的平衡接触角之和需要满足$theta_{eq}^{top}+theta_{eq}^{bot} geq pi$。不同润湿区域的结构和润湿特性共同起着重要的作用
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引用次数: 0
Relative Localization of Wireless Sensor Nodes by Using the RSSI and ToA based distance estimations 基于RSSI和ToA距离估计的无线传感器节点相对定位
Pub Date : 2023-09-27 DOI: 10.21205/deufmd.2023257511
Özgür TAMER
Wireless sensor network is a popular area for both academic research and commercial applications. A wireless sensor network is made up of several sensor nodes connected over various wireless infrastructures such as Wi-Fi, Bluetooth, ZigBee, or WiMAX. Determining the relative or absolute position of the sensor nodes is essential information for many applications. In this work, we present a novel method for estimating the position of sensor nodes using the Received Signal Strength Indicator and Time of Arrival metrics of the preferred wireless communication infrastructure. Localization results based on both of the metrics and comparison of them with respect to distance between the nodes are presented, and a novel combined method using both the RSSI and ToA based distance estimations is presented. The proposed method estimates the position of the WSN using both methods, but the result of a single method is preferred depending on the distance between the nodes since within the first 5 m. The RSSI based method is superior to ToA and for farther distances ToA outperforms RSSI. The measurement results show that the combined method reduces the estimation error and performs better than both methods it is based on.
无线传感器网络是一个学术研究和商业应用的热门领域。无线传感器网络由多个传感器节点组成,这些节点通过各种无线基础设施(如Wi-Fi、蓝牙、ZigBee或WiMAX)连接。确定传感器节点的相对或绝对位置对于许多应用来说是必不可少的信息。在这项工作中,我们提出了一种利用首选无线通信基础设施的接收信号强度指标和到达时间指标估计传感器节点位置的新方法。给出了基于这两种度量的定位结果,并将它们与节点之间的距离进行了比较,并提出了一种基于RSSI和ToA的距离估计相结合的新方法。提出的方法使用两种方法来估计WSN的位置,但根据节点之间的距离在前5米内,单一方法的结果是首选的。基于RSSI的方法优于ToA,并且在更远的距离上,ToA优于RSSI。测量结果表明,该组合方法减小了估计误差,性能优于其所基于的两种方法。
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引用次数: 0
Endüstriyel Nesnelerin İnterneti Uygulamaları için FPGA Destekli ve Bağlam Tabanlı Erişim Kontrol Güvenlik Sistemi 面向工业物联网应用的 FPGA 支持和基于上下文的访问控制安全系统
Pub Date : 2023-09-27 DOI: 10.21205/deufmd.2023257503
Didem GENÇ, Emrah TOMUR, Tuncay ERCAN
Endüstri 4.0 ile birlikte üretimin her alanında gittikçe artan bilgisayar destekli sistemlerin yarattığı farklı ve karmaşık ağ topolojileri, artan veri miktarı, firmaların güvenlik ihtiyaçlarını artırmaktadır. Bundan dolayı farklı endüstriyel sektörlerde kullanılan farklı cihaz ve veri kullanımı şirketler, kendi kritik akıllı üretim sistemlerine yönelik güvenilir bir risk yönetim sistemine ihtiyaç duymaktadır. İşletmeler bu yüzden sahip oldukları Endüstriyel Kontrol ve Bilişim Sistemlerini korumayı amaçlarlar. Bu çalışmada üretim alanında kullanılabilecek, endüstriyel cihazlar ve/veya bunlara bağlı sensörlerin erişim kontrolü bağlamında güvenlik ihtiyaçlarını karşılayacak ve kenar bilişim kapsamında çalışacak FPGA (Alanda Programlanabilir Kapı Dizileri) destekli bir güvenlik platformu tasarlanmış ve çalışma yöntemi açıklanmıştır. Akıllı üretim cihazlarının bulunduğu bir imalathane ortamında çalışan cihaz, sensor, akıllı kontrol kutusu ve ağ geçidi gibi bileşenler üzerinde bağlam-tabanlı bir erişim denetim sistemi kullanımı gösterilmiş ve örnek bir çoklu kimlik doğrulama yöntemi tasarlanmıştır.
随着工业 4.0 的发展,各个生产领域的计算机辅助系统不断增加,所形成的不同而复杂的网络拓扑结构以及不断增加的数据量,都增加了企业的安全需求。因此,在不同工业领域使用不同设备和数据的企业需要为其关键的智能生产系统建立可靠的风险管理系统。因此,企业的目标是保护其工业控制和信息系统。本研究设计了一个可用于生产领域的、支持 FPGA(现场可编程门阵列)的安全平台,该平台可满足工业设备和/或与其连接的传感器访问控制背景下的安全需求,并可在边缘计算范围内工作。演示了基于情境的门禁系统在设备、传感器、智能控制盒和网关等组件上的应用,这些组件在车间环境中与智能生产设备一起运行,并设计了一个多重认证方法示例。
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引用次数: 0
Sintigrafik Görüntülerden Tiroid Nodülleri için Bilgisayar Destekli Tanı Sistemi 从闪烁扫描图像诊断甲状腺结节的计算机辅助诊断系统
Pub Date : 2023-09-27 DOI: 10.21205/deufmd.2023257504
Aysun SEZER, Emre ALPTEKİN
In modern medicine, image recognition via segmentation of anatomical regions and automatic classification of diseases using medical images has a growing potential role in diagnosis of various diseases. Scintigraphy of thyroid is one of the established imaging modalities for diagnosis of thyroid gland disorders. In our study, the speckle noise was reduced in the scintigraphy images with the optimized Bayesian nonlocal mean filter. The thyroid gland was automatically segmented by local based active contour method and the thyroid gland pathologies were classified with convolutional neural networks (CNN). The proposed computer aided diagnosis (CAD) system was compared with Pyramid of Histograms of Orientation Gradients (PHOG), Gray Level Co occurrence Matrix (GLCM), Local Configuration Pattern (LCP) and Bag of Feature (BoF) methods. The common pathological patterns of scintigraphic images of the thyroid gland were successfully classified by CNN with an overall success rate of 91.19%. The comparative methods were PHOG, GLCM, LCP and BoF methods which provided overall success rates of 7.61%, 86.04%, 88.91% and 85.72% respectively. The proposed CNN based automatic diagnosis system provided promising results compared to handcrafted methods.
在现代医学中,利用医学图像进行解剖区域分割和疾病自动分类的图像识别在各种疾病的诊断中具有越来越大的潜在作用。甲状腺闪烁显像是诊断甲状腺疾病的常用影像学方法之一。在我们的研究中,使用优化的贝叶斯非局部平均滤波器来降低闪烁图像中的散斑噪声。采用基于局部的活动轮廓法对甲状腺进行自动分割,采用卷积神经网络(CNN)对甲状腺病理进行分类。将所提出的计算机辅助诊断(CAD)系统与方向梯度直方图金字塔法(PHOG)、灰度共生矩阵法(GLCM)、局部组态模式法(LCP)和特征包法(BoF)进行了比较。CNN对甲状腺显像常见病理模式进行了成功分类,总成功率为91.19%。PHOG法、GLCM法、LCP法和BoF法的总成功率分别为7.61%、86.04%、88.91%和85.72%。与手工制作的方法相比,提出的基于CNN的自动诊断系统提供了令人满意的结果。
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引用次数: 0
Kullanımda Olan 2,5 MW Kapasiteli Bir Rüzgâr Türbininden Veri Toplanması, Sistem Tanımlama ve Model Güncelleme 使用中的 2.5 兆瓦风力涡轮机数据收集、系统识别和模型更新
Pub Date : 2023-09-27 DOI: 10.21205/deufmd.2023257508
Onur ÖZTÜRKOĞLU, Yaşar TANER, Veysel YURTSEVEN, Özgür ÖZÇELİK, Serkan GÜNEL
Rüzgâr enerjisi, dünya genelinde hızla artan enerji ihtiyacı ve bu ihtiyacın çevreci çözümlerle giderilmesi gerekliliğiyle önemini her geçen gün arttırmaktadır. Kısa zamanda daha çok enerji üretebilen görece büyük rüzgâr türbinleri, rüzgâr enerji potansiyelinin fazla olması nedeniyle deprem bölgelerinde de inşa edilmektedir. Rüzgâr türbinlerinin ekonomik ömrü boyunca operasyonel kalabilmesi için yapısal bütünlüğünün izlenmesi ve dinamik özelliklerinin değişken operasyonel ve çevresel faktörler altında belirlenmesi büyük önem taşımaktadır. Bu çalışmada, kullanımda olan 2,5 MW üretim kapasiteli bir rüzgâr türbini için özgün veri toplama sistemi tasarlanmıştır. Sistemin kendi sensörlerinin topladığı ivme, sıcaklık ve nem verilerine ek olarak türbin SCADA sisteminden alınan rüzgâr hızı, rüzgâr yönü, rotor hızı, nasel yönü, pitch açısı ve anlık enerji üretim değeri verileri senkronize olarak kaydedilmiştir. Farklı çevresel ve operasyonel koşullar altında toplanan ivme verileri ile operasyonel modal analizler yapılmış ve türbinin dinamik özellikleri belirlenmiştir. Son olarak mod frekanslarının çevresel ve operasyonel faktörler ile ilişkisi de göz önünde bulundurularak, türbinin sayısal modeli güncellenmiştir.
风能的重要性与日俱增,这是因为全世界的能源需求急剧增加,而且有必要采用环保的解决方案来满足这一需求。相对较大的风力涡轮机可以在短时间内产生更多的能量,由于风能潜力大,因此也被建在地震带上。为了使风力涡轮机在其整个经济寿命期间保持运行,监测其结构完整性并确定其在不同运行和环境因素下的动态特性至关重要。在这项研究中,为一台正在使用的 2.5 兆瓦风力涡轮机设计了一套独特的数据采集系统。除了系统自带传感器采集的加速度、温度和湿度数据外,还同步记录了风速、风向、转子速度、机舱方向、变桨角度以及风机 SCADA 系统提供的瞬时能量产值数据。利用收集到的不同环境和运行条件下的加速度数据,进行运行模态分析,确定涡轮机的动态特性。最后,通过考虑模态频率与环境和运行因素之间的关系,更新了涡轮机的数值模型。
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引用次数: 0
Eklemeli imal edilmiş gözenekli topolojilerin ısıl performansı üzerine deneysel incelemeler 关于添加制造多孔拓扑热性能的实验研究
Pub Date : 2023-09-27 DOI: 10.21205/deufmd.2023257519
Şahin GÜNGÖR
Additive manufacturing enables researchers to form unique and unconventional topologies satisfying design compactness, improved efficiency, and lower cost. Design freedom introduced by the additive manufacturing reveals the idea of implementing the topology optimization approach into thermal systems. In this study, changes in thermal performance of three types of topologies: gyroid, hexagon (honeycomb), and rectilinear are experimentally investigated. In addition, porosity level of each topology is varied in between 25%, 50% and 75% to improve the impact of the study. The experimental results indicate that gyroid structures are thermally more efficient (up to 15.6%) than the remaining topologies. Furthermore, thermal diffusivities of the rectilinear and gyroid topologies with 25% porosity level are measured as the extremes, and it is detected that these structures propagate heat 1.1 times greater than the hexagon structure.
增材制造使研究人员能够形成独特和非常规的拓扑结构,满足设计紧凑性,提高效率和降低成本。由增材制造引入的设计自由度揭示了在热系统中实施拓扑优化方法的思想。在本研究中,实验研究了三种类型拓扑结构的热性能变化:陀螺、六边形(蜂窝)和直线。此外,每种拓扑结构的孔隙度水平在25%、50%和75%之间变化,以提高研究的影响。实验结果表明,与其他拓扑结构相比,陀螺结构的热效率更高(高达15.6%)。此外,测量了孔隙率为25%的直线和旋转拓扑结构的极端热扩散系数,发现这些结构的热传播比六边形结构大1.1倍。
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引用次数: 0
Farklı İğne Tasarımlarının Diş Kanalı İrrigasyonu Üzerindeki Etkilerinin Hesaplamalı Akışkanlar Dinamiği ile İncelenmesi 通过计算流体力学研究不同针头设计对牙科灌洗的影响
Pub Date : 2023-09-27 DOI: 10.21205/deufmd.2023257520
Selin BULGU, Alperen YILDIZELİ, Sertaç ÇADIRCI, Sema YILDIRIM
This study aims to investigate the effects of irrigation needles geometries on the flow inside the root canal and compare their irrigation performances based on Computational Fluid Dynamics (CFD) analyzes. CFD simulations of three commonly used close-ended irrigation needles were performed for various inlet Reynolds numbers and working lengths. Their irrigation performances were evaluated based on apical pressure and wall shear stress. The flow was assumed to be incompressible, turbulent and steady at all inlet Reynolds numbers. The closed-ended needles showed similar limited irrigant penetration toward the apex. Among all configurations, the Model C outperforms others as it provides the highest wall shear stress around the needle tip and the lowest apical pressures in the apical foramen, which reduces the risk of apical extrusion. The needle tip designs influence important parameters for the effectiveness and safety of the irrigation process.
本研究基于计算流体动力学(CFD)分析,探讨不同灌针形状对根管内流动的影响,并比较不同灌针形状对根管内流动的影响。对三种常用的闭式灌水针进行了不同进口雷诺数和工作长度的CFD模拟。根据顶压和壁剪应力对其灌溉性能进行了评价。假定气流在所有入口雷诺数下都是不可压缩的、湍流的和稳定的。封闭的针叶也表现出类似的向顶端渗透的有限灌水。在所有配置中,C型优于其他配置,因为它在针尖周围提供了最高的壁剪切应力,在针尖孔中提供了最低的针尖压力,从而降低了针尖挤压的风险。针尖的设计影响着灌溉过程的有效性和安全性。
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引用次数: 0
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El-Cezeri Fen ve Mühendislik Dergisi
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