2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)最新文献_第4页

Efficient QoT-Aware Rerouting Algorithm for Differentiated Services in WDM Transparent Networks Provisioned with Set-Up Delay Tolerance 具有设置时延容限的WDM透明网络中差异化业务的高效qos感知重路由算法

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2017-10-01 DOI: 10.1109/AICCSA.2017.130

N. Amdouni, T. Aguili

{"title":"Efficient QoT-Aware Rerouting Algorithm for Differentiated Services in WDM Transparent Networks Provisioned with Set-Up Delay Tolerance","authors":"N. Amdouni, T. Aguili","doi":"10.1109/AICCSA.2017.130","DOIUrl":"https://doi.org/10.1109/AICCSA.2017.130","url":null,"abstract":"In this paper we investigate further improvement in performances of Wavelength-Division Multiplexing (WDM) transparent networks under two traffic classes referred to as Scheduled Lightpath Demands (SLDs) and Random Lightpath Demands (RLDs). Scheduled traffic corresponds to high priority traffic whereas random traffic corresponds to best effort traffic. Indeed, in such networks, optical signals propagate over long distances without any electrical regeneration. Thus, noise and signal distortions accumulate along the physical path. Since these impairments continue to degrade the signal quality as it progresses toward its destination, the lightpaths' Quality of Transmission (QoT) might become potentially unacceptable. This constraint along with the wavelength continuity constraint imposed by WDM transparent networks might have a severe consequence on the performance of transparent optical networks especially in terms of rejection ratio. In this paper, we propose to apply traffic rerouting concept for network with QoT constraints provisioned with set-up delay tolerance in order to investigate further improvement in network performances under differentiated services. Through simulation results, we confirm that traffic rerouting concept and set-up delay tolerance are an efficient way to improve the performances of WDM transparent networks in terms of rejection ratio and service disruption period incurred by rerouting.","PeriodicalId":197301,"journal":{"name":"2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115226362","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

Enterprise Preparation for Cloud Migration: Assessment Phase 企业准备云迁移:评估阶段

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2017-10-01 DOI: 10.1109/AICCSA.2017.23

Hela Malouche, Youssef Ben Halima, H. Ghézala

引用次数: 2

Image Retrieval Using Spatial Dominant Color Descriptor 基于空间主色描述符的图像检索

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2017-10-01 DOI: 10.1109/AICCSA.2017.127

I. Rejeb, S. Ouni, E. Zagrouba

引用次数: 5

Performance Exploration of AMBA AXI4 Bus Protocols for Wireless Sensor Networks 无线传感器网络中AMBA AXI4总线协议的性能探索

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2017-10-01 DOI: 10.1109/AICCSA.2017.26

M. Makni, M. Baklouti, S. Niar, M. Abid

引用次数: 4

Unsupervised Features Extraction Using a Multi-view Self Organizing Map for Image Classification 基于多视图自组织映射的无监督特征提取

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2017-10-01 DOI: 10.1109/AICCSA.2017.104

Fatma Ben Aissa, M. Sakkari, R. Ejbali, M. Zaied

引用次数: 8

Robust Front-End Based on MVA and HEQ Post-processing for Arabic Speech Recognition Using Hidden Markov Model Toolkit (HTK) 基于MVA和HEQ后处理的基于隐马尔可夫模型工具箱的阿拉伯语语音识别鲁棒前端

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2017-10-01 DOI: 10.1109/AICCSA.2017.180

Elhem Techini, Z. Sakka, M. Bouhlel

引用次数: 4

Distorted Replicas: Intelligent Replication Schemes to Boost I/O Throughput in Document-Stores 扭曲副本:智能复制方案，以提高文档存储中的I/O吞吐量

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2017-10-01 DOI: 10.1109/AICCSA.2017.34

Khaled Jouini

引用次数: 2

Computer Aided Diagnosis for Breast Diseases Based on Infrared Images 基于红外图像的乳腺疾病计算机辅助诊断

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2017-10-01 DOI: 10.1109/AICCSA.2017.188

A. S. Araújo, A. Conci, R. Resmini, A. Montenegro, C. Araújo, F. Lebon

{"title":"Computer Aided Diagnosis for Breast Diseases Based on Infrared Images","authors":"A. S. Araújo, A. Conci, R. Resmini, A. Montenegro, C. Araújo, F. Lebon","doi":"10.1109/AICCSA.2017.188","DOIUrl":"https://doi.org/10.1109/AICCSA.2017.188","url":null,"abstract":"In this study, we propose a system to classify thermal images of the breast considering the presence or absence of disease not only tumor and cancer, as most of previous works did. The proposal, at present stage, separates a breast among presenting benign tumor, cancer or being normal and shows how new diagnostic can be included in the data base when a number of proved case of a disease is known. The methodology begins by pre-processing images to be free of those regions that are not of interest for the work before execution of an algorithm for textural features computation, then a set of characteristics is calculated and they are ranged by machine learning classifier, that identity the clinical condition of the patient's breasts. For this classification, a Support Vector Machine (SVM) was used and trained based on already classified diagnosis from two data bases. Tests performed present accuracy above 90%, showing that the proposal is very promising. The project is in the phase of final adjustments and critical use by the medical community for the diagnostic aid. In future work integrations with other examinations is the aim.","PeriodicalId":197301,"journal":{"name":"2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129392276","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: 11

Intrusion Threats and Security Solutions for Autonomous Vehicle Networks 自动驾驶汽车网络的入侵威胁和安全解决方案

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2017-10-01 DOI: 10.1109/AICCSA.2017.42

Safa Boumiza, R. Braham

引用次数: 10

Towards a Collaborative Architecture of Honeypots 迈向蜜罐的协作架构

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2017-10-01 DOI: 10.1109/AICCSA.2017.208

A. Agnaou, A. A. E. Kalam, A. A. Ouahman

引用次数: 3