2015 Tenth International Conference on Computer Engineering & Systems (ICCES)最新文献_第6页

Multiple queries optimization for data streams on cloud computing 云计算数据流的多查询优化

2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393012

Fatma M. Najib, R. Ismail, N. Badr, M. Tolba

引用次数: 3

Identification of systems with fast and slow dynamics using non-uniform sampling 非均匀采样法辨识快慢动态系统

2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393021

S. M. El-Feky, A. M. Zaki, Ayman M. Bahaa-Eldin, M. H. El-Shafey

引用次数: 2

SystemC based simulation of AUTOSAR software components 基于SystemC的AUTOSAR软件组件仿真

2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393028

Tariq S. Shatat, Bassem A. Abdullah, A. Salem

引用次数: 0

Blind image deblurring using sparse dictionary and orthogonal projections of filtered patches 利用稀疏字典和滤波后的正交投影实现图像去模糊

2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393059

I. El-Henawy, A. Ali, K. Ahmed, Hadeer Adel

{"title":"Blind image deblurring using sparse dictionary and orthogonal projections of filtered patches","authors":"I. El-Henawy, A. Ali, K. Ahmed, Hadeer Adel","doi":"10.1109/ICCES.2015.7393059","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393059","url":null,"abstract":"In this paper, we present a new blind image deblurring technique based on sparse representation and orthogonal projections of filtered patches. First, we use predefined sparse dictionaries to estimate an initial version of the latent image. To estimate the PSF, four stages are performed. First, a set of directional low-pass filters are applied to the input image. These filters greatly reduces the noise while preserving the blur info in the orthogonal direction. Second, an initial kernel estimation is performed for each filtered image using the initial latent image that was produced by sparse representation. Third, discrete radon transform is applied to each estimated kernel on the orthogonal direction to the low-pass filter and the set of projections at different angles are stored. Fourth, an inverse discrete radon transform is applied to the stored projections and the estimated final kernel is produced. Finally, iterative deconvolution approach is performed to estimate the final latent sharp image. Experimental results showed that the best obtained PSNR is 28.654 at 0.054 noise ratio, whereas the best obtained SSIM is 0.9265 at also 0.054 noise ratio.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134285451","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

A classification framework for diagnosis of focal liver diseases 局灶性肝病诊断的分类框架

2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393083

Tarek M. Hassan, Mohammed M Elmogy, E. Sallam

{"title":"A classification framework for diagnosis of focal liver diseases","authors":"Tarek M. Hassan, Mohammed M Elmogy, E. Sallam","doi":"10.1109/ICCES.2015.7393083","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393083","url":null,"abstract":"Computer-aided detection/diagnosis (CAD) systems are critical for doctors to understand the medical images and to improve the accuracy of detection/diagnosis of various diseases. The goal of this paper is to propose a classification framework for diagnosing different focal liver diseases based on ultrasound (US) images. Ultrasound medical imaging is one of the most common modality, which is used in diagnostic systems because of its safety and cost effectiveness. In this paper, we introduced a framework for a CAD system to diagnosing three classes of focal liver diseases, which are Cyst, Hemangioma (HEM), and Hepatocellular Carcinoma (HCC). The proposed system begins with a preprocessing step to make enhancement and noise removal of US images using a median filter. The segmentation of the liver lesions regions is done using level set method followed by the fuzzy c-mean clustering algorithm. Finally, we have used a multi-support vector machine (multi-SVM) classifier to diagnosis the classes of the focal liver diseases. By using 10-fold cross validation method, we have got an overall classification accuracy of 96.5%. Our proposed system is compared with some state of the art techniques. The experimental results show that the proposed system gives better overall accuracy than the other tested techniques.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"233 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116239525","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: 5

Adaptive chaotic frequency hopping 自适应混沌跳频

2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393068

Ahmed E. Mansour, Walid Saad, S. E. El Ramly

引用次数: 6

Energy aware Secure Clustering in Mobile Ad hoc Networks 移动自组织网络中的能量感知安全聚类

2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393053

Khaled Soliman, M. Sobh, Ayman M. Bahaa-Eldin, E. Hegazi

{"title":"Energy aware Secure Clustering in Mobile Ad hoc Networks","authors":"Khaled Soliman, M. Sobh, Ayman M. Bahaa-Eldin, E. Hegazi","doi":"10.1109/ICCES.2015.7393053","DOIUrl":"https://doi.org/10.1109/ICCES.2015.7393053","url":null,"abstract":"Mobile Ad hoc Networks (MANETs) suffer from security attacks and privacy issues, which dramatically impede their applications. In addition, the security measures applied in MANETs (like encryption and key distribution) have a number of negative effects on the network's performance. Cryptographic operations introduce a lot of both CPU and communication overhead. Therefore, routing protocols improvement is a challenge for researchers to overcome the negative effects of security measures. Clustering the MANET is a known technique to lower the routing over-head. It can also be utilized to distribute encryption keys and the authentication process. In this paper, a new protocol called Secure Clustering and Energy Saver Protocol “SCESP” is proposed. SCESP secures the Mobile Ad hoc Networks and increase its network lifetime. This system introduces a novel self-node clustering technique based on Ad-hoc On-demand Distance Vector “AODV” routing protocol. In addition, it eliminates the key distribution overhead using smart token or similar hardware which is used for authentication. The SCESP system succeeded to enhance the security level of MANETs and decrease the battery consumption of mobile nodes due to the transmitted and received route requests messages propagated to discover new routes in AODV routing protocol.","PeriodicalId":227813,"journal":{"name":"2015 Tenth International Conference on Computer Engineering & Systems (ICCES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131753902","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

Detecting selfish nodes and motivating cooperation in Mobile Ad-hoc Networks 移动自组网中自利节点检测与合作激励

2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393064

D. AbdelMohsen, T. Abdelkader

引用次数: 6

Design of an algorithmic Wallace multiplier using high speed counters 基于高速计数器的华莱士乘法器算法设计

2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393033

Shahzad Asif, Yinan Kong

引用次数: 38

A proposed shadowed intuitionistic fuzzy numbers 提出了阴影直觉模糊数

2015 Tenth International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2015-12-01 DOI: 10.1109/ICCES.2015.7393037

Mohamed A. H. El-Hawy, K. Wassif, H. Hefny, Hesham A. Hassan

引用次数: 6