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2019 12th International Conference on Developments in eSystems Engineering (DeSE)最新文献

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Desert Plants Recognition by Bark Texture 利用树皮纹理识别沙漠植物
Najlaa Alsaedi, Hanan Alahmadi, Liyakathunisa Syed
Recognition of the desert plants is a challenging task for human as well as computers due to the similarities between these plants. We propose a novel method for recognizing of desert plants by the images of the bark. We extract the features of the texture of the bark using Weber Local Descriptor (WLD), we build a dataset of bark images for desert plants, this dataset consists of 1660 bark images for five species of the desert plants, these species are Palm Dates, Mimosa Scabrella, Sidr, Lemon and Pomegranate. We test three classifiers ANN, SVM and KNN on this dataset and the resulted accuracies are 99.7%, 98.8% and 98.0%, respectively. Performance of ANN is very high when compared to SVM and KNN classifiers, hence ANN can be adapted for recognition of the desert plants.
由于这些植物之间的相似性,识别沙漠植物对人类和计算机来说都是一项具有挑战性的任务。提出了一种利用树皮图像识别荒漠植物的新方法。利用Weber局部描述符(WLD)提取树皮的纹理特征,构建了沙漠植物树皮图像数据集,该数据集包含5种沙漠植物的1660张树皮图像,这5种植物分别是棕榈枣、含水草、Sidr、柠檬和石榴。我们在该数据集上测试了ANN、SVM和KNN三种分类器,结果准确率分别为99.7%、98.8%和98.0%。与支持向量机(SVM)和KNN分类器相比,人工神经网络(ANN)的分类性能非常高,因此可以用于沙漠植物的识别。
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引用次数: 0
A FPGA Implementation of a Dual-Axis Solar Tracking System 双轴太阳跟踪系统的FPGA实现
Yusha’u Shehu, Mae Irshaidat, M. Soufian
This paper aims at the efficient development and implementation of a dual-axis solar tracking system by using Field Programmable Gate Array (FPGA). Fuzzy logic has been suggested for this purpose. Here, the focused is lay down on Multi-Input, Multi-Output (MIMO) nature of tracking system and the issue of the interaction between them, which may cause instability, oscillation or lack of tracking and bias. It is shown how to develop fuzzy rules for removing or minimizing interactions. Specific requirements for the solar tracker and their implementation are also discussed. The rules and the above features were then encoded in VHSIC (Very High-Speed Integrated Circuit) High Definition Language (VHDL) for synthesizing the FPGA based controller. Results illustrate a successful implementation specially in development countries in Africa, where ample solar energy available nearly every day.
本文旨在利用现场可编程门阵列(FPGA)高效开发和实现一个双轴太阳能跟踪系统。模糊逻辑已被建议用于此目的。这里,重点放在多输入,多输出(MIMO)跟踪系统的性质和它们之间的相互作用问题,这可能会导致不稳定,振荡或缺乏跟踪和偏差。演示了如何开发用于删除或最小化交互的模糊规则。讨论了太阳能跟踪器的具体要求及其实现。然后用VHSIC (Very High- speed Integrated Circuit) High Definition Language (VHDL)编码这些规则和上述特征,以合成基于FPGA的控制器。结果说明了一项成功的实施,特别是在非洲的发展中国家,那里几乎每天都有充足的太阳能。
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引用次数: 2
Enhanced Algorithm of Superpixel Segmentation Using Simple Linear Iterative Clustering 基于简单线性迭代聚类的超像素分割改进算法
R. Al-azawi, Q. Al-Jubouri, Y. A. Mohammed
Image segmentation process represents the main stage for most computer vision systems. This paper presents an improved algorithm based on simple linear iterative clustering (SLIC) to reduce the number of used seeds for threshold estimation as well as the entire execution time of image segmentation. These is achieved by using split and merge stages for the location, number of seeds as well as other parameters of the seed points. The obtained results showed the possibility of using various threshold levels instead of a single one which represented a challenge due to the estimation complexity. The independent of the threshold-level estimation can contribute significantly in improving performance of the overall image segmentation process.)
图像分割过程是大多数计算机视觉系统的主要阶段。本文提出了一种基于简单线性迭代聚类(SLIC)的改进算法,以减少阈值估计使用的种子数量和图像分割的整个执行时间。这是通过对位置、种子数量以及种子点的其他参数使用分裂和合并阶段来实现的。得到的结果表明,可以使用多种阈值水平,而不是单一的阈值水平,这是由于估计复杂性而带来的挑战。阈值水平估计的独立性可以显著提高整个图像分割过程的性能。
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引用次数: 2
Robust Mixed H2/H_infinity Control Synthesis for ElectroOptical Device Line-of-Sight Stabilization System 电光器件视距稳定系统的鲁棒混合H2/ h_∞控制综合
G. Degtyarev, V. I. Garkushenko, R. N. Fayzutdinov, Sh. I. Gubaydullin, I. O. Spiridonov
A technique of multiobjective robust control synthesis considering regional pole placement for electro-optical device line-of-sight stabilization system is developed on the basis of polytopic linear parameter-varying systems theory. From the computational point of view, the synthesis procedure is reduced to convex optimization under constraints expressed in the form of linear matrix inequalities. The multiobjective synthesis of the robust control law for the stabilization system being considered is performed.
基于多面体线性变参数系统理论,提出了考虑区域极点配置的光电器件视距稳定系统多目标鲁棒控制综合技术。从计算的角度来看,综合过程简化为在线性矩阵不等式形式约束下的凸优化。对所考虑的镇定系统的鲁棒控制律进行了多目标综合。
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引用次数: 1
Language of Power: Frequency Dynamics and Semantic Transformations of the Title "Emperor" in Russian 权力语言:俄语“皇帝”称谓的频率动态与语义转换
T. Galeev, V. Bochkarev, E. Martynova
In this paper we study the relationship between the frequency of the title Emperor usage and the development of its semantics against the background of sociocultural changes in society using the material of Russian. The research includes the semantic and axiological evaluation of the Google Books Ngram corpus digrams. The diachronic quantitative study of the linguistic-cultural concept was carried out according to the method developed by the authors of the article also in comparative purposes in English, Chinese, German, French and Spanish.
本文以俄语为材料,在社会文化变迁的背景下,研究了“皇帝”称谓的使用频率与其语义发展的关系。研究内容包括对谷歌图书Ngram语料图的语义评价和价值论评价。语言文化概念的历时定量研究是根据本文作者开发的方法进行的,并以英语、汉语、德语、法语和西班牙语为比较目的。
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引用次数: 0
Utilizing Automatic Traffic Counters to Predict Traffic Flow Speed 利用自动交通计数器预测交通流速度
A. Makki, Trung-Thanh Nguyen, Jie Jessie Ren
In the era of the Fourth Industrial Revolution, one of the key drivers of change is a sharing economy or so called “uberization”. Uberization is especially rapidly developing in the service sector, in particular – when organizing individual passenger transportation by taxi services. Such taxi services as Uber and Gett, that use technological Internet platforms, allow faster and cheaper than traditional taxi companies to order the taxi. From the other point of view, they have the same disadvantage as the usage of individual transport is often associated with. It is the incomplete load of vehicles, which causes an additional negative impact on the environment as well as on the road network. This article presents a decision support system for taxi dispatch services based on the model of optimal route choice. Optimization is carried out with the help of multifactor analysis of transportation requirements and selection of the optimal route in accordance with given priorities. Such a system will reduce the cost of transportation and negative impact on the environment through the selection of fellow travelers by using a mobile application.
在第四次工业革命时代,变革的关键驱动力之一是共享经济,即所谓的“优步化”。优步化在服务领域发展尤为迅速,特别是在通过出租车服务组织个人客运方面。像优步和Gett这样的出租车服务,使用技术互联网平台,可以比传统的出租车公司更快、更便宜地订购出租车。从另一个角度来看,它们与使用个人交通工具有同样的缺点。这是车辆的不完全负荷,对环境和道路网络造成了额外的负面影响。提出了一种基于最优路线选择模型的出租车调度决策支持系统。通过对运输需求进行多因素分析,并根据给定的优先级选择最优路线进行优化。这样的系统将通过使用移动应用程序选择同行者,从而降低运输成本和对环境的负面影响。
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引用次数: 2
Effect of Annealing on the Transformation Behavior of NiTi Shape Memory Alloy 退火对NiTi形状记忆合金相变行为的影响
S. S. Abdullah, Jenan H. Taha
Shape memory alloys (SMAs) have enormous potential for a wide variety of applications. Therefore there has been a wide concern for studying the properties of those alloys. In this study polycrystalline alloys from shape memory alloy have been prepared successfully by thermal plasma spray in a wire form of 3 mm diameter in a graphite cast with three different ratios Ni50Ti50, Ni50.5Ti49.5 and Ni51Ti49. Its structure has been tested by means of X-ray diffraction technique. It has been noticed that annealing at 500° C helps to transform part of the material from an austenite phase into a martensite phase .It has also been noticed that increasing Ni proportion more than 50% to Ti in the alloy increases the martensite phase. The temperature of phase transformation as a function to the temperature of NiTi was calculated by using Differential Scanning Calorimeter (DSC) at a temperature between 100°C and -80.0°C in a scan rate of 10°C/min. The charts show that transformation from an austenite phase into martensite phase is done through an intermediate phase called (R-phase) which means there is no direct transformation, while transformation from martensite into austenite in heating cycle is direct. An exception to that is annealing Ni50Ti50 at a temperature of 400°Cwhere the transformation cycle is in two stages.
形状记忆合金(sma)具有广泛应用的巨大潜力。因此,研究这些合金的性能受到了广泛关注。在本研究中,以形状记忆合金为材料,采用热等离子体喷涂技术,在三种不同配比Ni50Ti50、Ni50.5Ti49.5和Ni51Ti49的石墨铸件上成功制备了直径为3mm的多晶合金。用x射线衍射技术对其结构进行了测试。在500℃下退火有助于将部分材料从奥氏体相转变为马氏体相,并注意到合金中Ni与Ti的比例增加到50%以上会使马氏体相增加。采用差示扫描量热仪(DSC),在100℃~ -80.0℃范围内,扫描速率为10℃/min,计算了相变温度与NiTi温度的关系。由图可知,从奥氏体相到马氏体相的转变是通过中间相(r相)完成的,这意味着没有直接转变,而在加热循环中从马氏体到奥氏体的转变是直接的。一个例外是在400℃的温度下退火Ni50Ti50,其中转变周期分为两个阶段。
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引用次数: 1
Multi-class Breast Cancer Classification by a Novel Two-Branch Deep Convolutional Neural Network Architecture 基于新型双分支深度卷积神经网络的乳腺癌多类分类
Laith Alzubaidi, Reem Ibrahim Hasan, F. H. Awad, M. Fadhel, O. Al-Shamma, Jinglan Zhang
One of the main reasons for death among women is breast cancer. The traditional diagnosis process of breast cancer is time-consuming and expensive. Also, an early cancer diagnosis may reduce the breast cancer death rate. With the help of computer-aided diagnosis system, the efficiency increased and the cost is reduced of the cancer diagnosis. Traditional classification methodologies are based on feature extraction techniques. Currently, deep learning techniques have become the alternative solution for diagnosis and overcame the problems of the handcrafted features methods. Increasing the depth in a deep convolutional neural network makes the network suffer from gradient vanishing problems, which are not caused by overfitting but instead by an increase in depth. Therefore, our proposed network is designed based on the idea of increasing the width of the network. A novel two-branch deep convolutional neural network is proposed for the classification of histopathological breast images. The proposed network is trained on the dataset of ICIAR-2018 to classify images into four classes; invasive carcinoma, in situ carcinoma, benign lesion, and normal tissue image. The proposed network is beneficial for gradient propagation as the error can be back-propagated through multiple paths. It also helps to combine different levels of features at each step of the network since it is a two-branch network. The proposed network is superior to the existing methods by achieving a patch-wise classification accuracy of 83.6% and image-wise classification accuracy of 91.3% on the divided part from the training set. Moreover, we have achieved an image-wise classification accuracy of 89.4% on the unseen test images of ICIAR-2018.
妇女死亡的主要原因之一是乳腺癌。传统的乳腺癌诊断过程既耗时又昂贵。此外,早期癌症诊断可能会降低乳腺癌的死亡率。在计算机辅助诊断系统的帮助下,提高了肿瘤诊断的效率,降低了成本。传统的分类方法是基于特征提取技术。目前,深度学习技术已经成为诊断的替代解决方案,克服了手工特征方法的问题。在深度卷积神经网络中增加深度会使网络遭受梯度消失问题,这不是由过拟合引起的,而是由深度增加引起的。因此,我们提出的网络是基于增加网络宽度的思想来设计的。提出了一种新的双分支深度卷积神经网络用于乳腺组织病理图像的分类。该网络在ICIAR-2018数据集上进行训练,将图像分为四类;浸润性癌、原位癌、良性病变和正常组织图像。由于误差可以通过多个路径反向传播,因此该网络有利于梯度传播。它还有助于在网络的每个步骤中组合不同级别的特征,因为它是一个双分支网络。本文提出的网络在训练集分割部分上实现了83.6%的补丁分类准确率和91.3%的图像分类准确率,优于现有的方法。此外,我们在ICIAR-2018的未见测试图像上实现了89.4%的图像分类准确率。
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引用次数: 8
Using Adaptive Data Rate with DSSS Optimization and Transmission Power Control for Ultra-Low Power WSN 基于自适应数据速率、DSSS优化和传输功率控制的超低功耗WSN
Chung-Wen Hung, Wen-Ting Hsu, K. Hsia
Because the power line of IoT devices is difficult to be arranged in many applications, devices are usually powered by batteries. The low-power wireless communication becomes a significant technology in IoT. The mixed control algorithm including TPC (Transmit Power Control) and ADR (Adaptive Data Rate) with DSSS (Direct-Sequence Spread Spectrum) is proposed in this paper and is implemented on Texas Instruments CC1310 platform. The experimental results show that the power consumption of nodes can be greatly reduced in this paper.
由于物联网设备的电源线在许多应用中难以布置,因此设备通常由电池供电。低功耗无线通信成为物联网的一项重要技术。本文提出了一种包含TPC(发射功率控制)和ADR(自适应数据速率)和DSSS(直接序列扩频)的混合控制算法,并在德州仪器CC1310平台上实现。实验结果表明,该方法可以大大降低节点功耗。
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引用次数: 5
Features of Software Development of Module Tasks View of the Existing Software Packages and Their Updates in the Corporate Information Systems of the Production Organization 模块任务软件开发的特点——生产组织企业信息系统中现有软件包及其更新情况的分析
I. Ishmuradova, A. Karamyshev, D. Lysanov, A. Isavnin, I. Eremina
The article shows the stages of designing the structure and development software module of the task "Accounting for existing packages of applications and their updates", creation of workable and effective application for accounting of basic information of computer technology in the corporate information system of the production organization. On the basis of analysis of the subject area of research is presented – the task "Accounting for existing packages of applications and their updates" and its brief characteristic is given; the analysis of input and output data is carried out, the conceptual data scheme is constructed; the choice and architecture of software and development tools is proved; the database for software application, graphical interface and model is developed.
本文介绍了“现有应用程序包的核算及其更新”任务的结构设计和软件模块开发阶段,以及在生产组织的企业信息系统中创建可操作、有效的计算机技术基础信息核算应用程序。在分析课题研究领域的基础上,提出了课题“现有应用程序包及其更新的核算”,并给出了其简要特点;对输入输出数据进行了分析,构建了概念数据方案;论证了软件和开发工具的选择和体系结构;开发了软件应用数据库、图形界面数据库和模型数据库。
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引用次数: 1
期刊
2019 12th International Conference on Developments in eSystems Engineering (DeSE)
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