2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)最新文献_第4页

Performance Evaluation of MIMO FSO Communication with Gamma-Gamma Turbulence Channel using Diversity Techniques 基于分集技术的伽马湍流信道MIMO FSO通信性能评估

2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE) Pub Date : 2018-08-01 DOI: 10.1109/ICCCEEE.2018.8515825

R. Saeed, Esra B. Abbas

引用次数: 8

Detection of Man-in-the-Middle Attacks by Using the TCP Retransmission Timeout : Key Compromise Impersonation Attack as Study Case 利用TCP重传超时检测中间人攻击——以密钥泄露冒充攻击为例

2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE) Pub Date : 2018-08-01 DOI: 10.1109/ICCCEEE.2018.8515845

Ayman Mohammed Muzzamail Albashear, H. Ali, Abeer M. Ali

引用次数: 2

Mathematical Model Implementation of Vertical Handover Network Decision Algorithms in Heterogeneous Network Based On QoS Parameters 基于QoS参数的异构网络垂直切换网络决策算法的数学模型实现

2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE) Pub Date : 2018-08-01 DOI: 10.1109/ICCCEEE.2018.8515776

Aridegbe. A. A. Ipaye, Ali. M. A. Ibrahim, I. Ahmed, Sami A. Nagar, Dimitrios. N. G. Mitropoulos

引用次数: 4

Brain Tumor Detection by using Artificial Neural Network 基于人工神经网络的脑肿瘤检测

2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE) Pub Date : 2018-08-01 DOI: 10.1109/ICCCEEE.2018.8515763

Hussna Elnoor Mohammed Abdalla, M. Esmail

{"title":"Brain Tumor Detection by using Artificial Neural Network","authors":"Hussna Elnoor Mohammed Abdalla, M. Esmail","doi":"10.1109/ICCCEEE.2018.8515763","DOIUrl":"https://doi.org/10.1109/ICCCEEE.2018.8515763","url":null,"abstract":"Brain tumor is one of the most dangerous diseases which require early and accurately detection methods, now most detection and diagnosis methods depend on decision of neurospecialists, and radiologist for image evaluation which possible to human errors and time consuming. This study reviews and describe the processes and techniques used in detection brain tumor based on magnetic resonance imaging (MRI) and artificial neural networks (ANN) techniques, Which executed in the different steps of Computer Aided Detection System (CAD) after collected the image data (MRI); first stage is pre-processing and post-processing of MRI images to enhancement it and make it more suitable to analysis then used threshold to segment the MRI images by applied mean gray level method. In the second stage was used the statistical feature analysis to extract features from images; the features computed from equations of Haralick’s features based on the spatial gray level dependency matrix (SGLD) of images. Then selected the suitable and best features to detect the tumor localization. In the third stage the artificial neural networks were designed; the feedforward back propagation neural network with supervised learning were apply as automatic method to classify the images under investigation into tumor or none tumor. the network performances was evaluated successfully tested and achieved the best results with accuracy of 99%, and sensitivity 97.9%.","PeriodicalId":6567,"journal":{"name":"2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"34 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78762521","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: 43

Geothermal Mainstream Adoption through Risk Mitigation in Sudan 在苏丹通过减轻风险采用地热主流

2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE) Pub Date : 2018-08-01 DOI: 10.1109/ICCCEEE.2018.8515898

Ashraf M. A Khadam, K. Ramadan, E. Hamouda

引用次数: 1

Optimizing Convolutional Neural Networks for Brain Tumor Segmentation in MRI Images 优化卷积神经网络对MRI图像中脑肿瘤的分割

2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE) Pub Date : 2018-08-01 DOI: 10.1109/ICCCEEE.2018.8515826

Mohamed Ali, R. Hamad, Mohanned Ahmed

{"title":"Optimizing Convolutional Neural Networks for Brain Tumor Segmentation in MRI Images","authors":"Mohamed Ali, R. Hamad, Mohanned Ahmed","doi":"10.1109/ICCCEEE.2018.8515826","DOIUrl":"https://doi.org/10.1109/ICCCEEE.2018.8515826","url":null,"abstract":"Gliomas comprise about 80% of all malignant brain tumors and have the lowest survival rate of all brain tumors. Segmentation of tumors is an important step in evaluating the tumor, preparing the treatment plan and estimating the patient survival period. Tumor tissues have a distinguishable appearance in MRI images so they are widely used for brain tumor segmentation. Many solutions were proposed to automate brain tumor segmentation but convolutional neural networks (CNNs) have the most promising results. Tens of neural networks were proposed for tumor segmentation but they still did not achieve good enough accuracies to be deployed in real-world applications. In this paper, we focused on optimizing patch-wise classifier CNN and the results obtained are discussed to show the effect of some design decision taken. We evaluated the segmentation results using the Dice Similarity Coefficient (DSC). The results of this paper can be used to improve existing models or as a guideline for developing new CNN models. Finally, we point out possible future directions for research.","PeriodicalId":6567,"journal":{"name":"2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"12 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76675046","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: 3

Late Acceptance Selection Hyper-heuristic for Wind Farm Layout Optimisation Problem 风电场布局优化问题的后期验收选择超启发式算法

2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE) Pub Date : 2018-08-01 DOI: 10.1109/ICCCEEE.2018.8515808

Hiba Abdulaziz, A. Elnahas, Alaa Daffalla, Yossra Noureldien, A. Kheiri, E. Özcan

引用次数: 1

An Energy Efficient Mobility Management Mechanism in Software Defined Networking (SDN) 软件定义网络(SDN)中节能的移动性管理机制

2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE) Pub Date : 2018-08-01 DOI: 10.1109/ICCCEEE.2018.8515818

N. S. Shahrun, A. F. Y. Mohammed, Rudy Ramlie, S. Newaz, A. T. Wan

{"title":"An Energy Efficient Mobility Management Mechanism in Software Defined Networking (SDN)","authors":"N. S. Shahrun, A. F. Y. Mohammed, Rudy Ramlie, S. Newaz, A. T. Wan","doi":"10.1109/ICCCEEE.2018.8515818","DOIUrl":"https://doi.org/10.1109/ICCCEEE.2018.8515818","url":null,"abstract":"Software Delined Networking (SDN) has paved the way for cost effective, energy efficient, and flexible and dynamic network structure. In SDN, a controller sets routing path for the data plane consisting of several switches. If an incoming packet is not known to a switch, the switch needs to invoke the controller, in turn the controller facilitates forwarding path for that packet. In case when a station is mobile (e.g., mobile phone or laptop), the controller needs to update the SDN forwarding path whenever the Mobile Terminal (MT) gets attached with a new switch. This will result in increasing location update overhead at not only the controller but also all the intermediate switches between the main controller and Leaf Switch (LS). Some of the existing research efforts consider both SDN forwarding path update and Layer 3 location update whenever a MT attaches with a new LS. In our study, we have realized that if mobile IP over SDN is managed, a network operator will end up imposing additional location update cost. In this paper, a novel overlay SDN topology is proposed in order to manage location update of MTs. In this contribution, a MT maintains its location update with a Root Switch (RS), which is in charge of tracking location of MTs within a cluster of cells, as long as the MT stays within the cluster (regional area). However, if the MT moves out of the regional area, in our proposal, there will be a location update at the main controller. Results obtained through numerical analysis reveal that proposed overlay topology based location update mechanism in SDN can lead to reduced location update cost noticeably.","PeriodicalId":6567,"journal":{"name":"2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"80 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85835740","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: 0

Design of Efficient Cyclic Redundancy Check-32 using FPGA 基于FPGA的高效循环冗余校验32设计

2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE) Pub Date : 2018-08-01 DOI: 10.1109/ICCCEEE.2018.8515877

Mohamed Abdulnabi, Hisham Ahmed

引用次数: 3

Design of Vehicle Tracking System 车辆跟踪系统的设计

2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE) Pub Date : 2018-08-01 DOI: 10.1109/ICCCEEE.2018.8515767

E. O. Elamin, Wadah.M. Alawad, Elwasila Yahya, Abdallah Abdeen, Y. M. Alkasim

引用次数: 1