2019 12th International Conference on Developments in eSystems Engineering (DeSE)最新文献_第10页

Desert Plants Recognition by Bark Texture 利用树皮纹理识别沙漠植物

2019 12th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2019-10-01 DOI: 10.1109/DeSE.2019.00032

Najlaa Alsaedi, Hanan Alahmadi, Liyakathunisa Syed

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

2019 12th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2019-10-01 DOI: 10.1109/DeSE.2019.00180

Yusha’u Shehu, Mae Irshaidat, M. Soufian

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

2019 12th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2019-10-01 DOI: 10.1109/DeSE.2019.00038

R. Al-azawi, Q. Al-Jubouri, Y. A. Mohammed

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

2019 12th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2019-10-01 DOI: 10.1109/DeSE.2019.00023

G. Degtyarev, V. I. Garkushenko, R. N. Fayzutdinov, Sh. I. Gubaydullin, I. O. Spiridonov

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

2019 12th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2019-10-01 DOI: 10.1109/DeSE.2019.00043

T. Galeev, V. Bochkarev, E. Martynova

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

2019 12th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2019-10-01 DOI: 10.1109/DeSE.2019.00153

A. Makki, Trung-Thanh Nguyen, Jie Jessie Ren

{"title":"Utilizing Automatic Traffic Counters to Predict Traffic Flow Speed","authors":"A. Makki, Trung-Thanh Nguyen, Jie Jessie Ren","doi":"10.1109/DeSE.2019.00153","DOIUrl":"https://doi.org/10.1109/DeSE.2019.00153","url":null,"abstract":"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.","PeriodicalId":6632,"journal":{"name":"2019 12th International Conference on Developments in eSystems Engineering (DeSE)","volume":"33 1","pages":"823-830"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75479730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

2019 12th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2019-10-01 DOI: 10.1109/DeSE.2019.00100

S. S. Abdullah, Jenan H. Taha

{"title":"Effect of Annealing on the Transformation Behavior of NiTi Shape Memory Alloy","authors":"S. S. Abdullah, Jenan H. Taha","doi":"10.1109/DeSE.2019.00100","DOIUrl":"https://doi.org/10.1109/DeSE.2019.00100","url":null,"abstract":"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.","PeriodicalId":6632,"journal":{"name":"2019 12th International Conference on Developments in eSystems Engineering (DeSE)","volume":"17 1","pages":"518-521"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73582524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

2019 12th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2019-10-01 DOI: 10.1109/DeSE.2019.00057

Laith Alzubaidi, Reem Ibrahim Hasan, F. H. Awad, M. Fadhel, O. Al-Shamma, Jinglan Zhang

{"title":"Multi-class Breast Cancer Classification by a Novel Two-Branch Deep Convolutional Neural Network Architecture","authors":"Laith Alzubaidi, Reem Ibrahim Hasan, F. H. Awad, M. Fadhel, O. Al-Shamma, Jinglan Zhang","doi":"10.1109/DeSE.2019.00057","DOIUrl":"https://doi.org/10.1109/DeSE.2019.00057","url":null,"abstract":"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.","PeriodicalId":6632,"journal":{"name":"2019 12th International Conference on Developments in eSystems Engineering (DeSE)","volume":"35 1","pages":"268-273"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73997775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

2019 12th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2019-10-01 DOI: 10.1109/DeSE.2019.00115

Chung-Wen Hung, Wen-Ting Hsu, K. Hsia

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

2019 12th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2019-10-01 DOI: 10.1109/DeSE.2019.00042

I. Ishmuradova, A. Karamyshev, D. Lysanov, A. Isavnin, I. Eremina

引用次数: 1