2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)最新文献_第5页

Application-centric Cloud management 以应用程序为中心的云管理

2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2011-12-27 DOI: 10.1109/AICCSA.2011.6126627

Sunirmal Khatua, Anirban Ghosh, N. Mukherjee

引用次数: 12

Performance analysis of streamed video over mobile IP based networks 基于移动IP网络的流媒体视频性能分析

2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2011-12-27 DOI: 10.1109/AICCSA.2011.6126620

Heba Nashaat, R. Rizk, Hani M. K. Mahdi

引用次数: 2

On the influence of selection function on the performance of fat-trees under hot-spot traffic 热点流量下选择函数对肥壮树性能的影响

2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2011-12-27 DOI: 10.1109/AICCSA.2011.6126622

A. Farouk, H. M. El-Boghdadi

引用次数: 9

Verification of decimal floating-point fused-multiply-add operation 验证十进制浮点融合乘加运算

2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2011-12-27 DOI: 10.1109/AICCSA.2011.6126614

Amr A. R. Sayed-Ahmed, H. Fahmy, R. Samy

引用次数: 4

Reliable distributed data fusion scheme in unsafe sensor networks 不安全传感器网络中的可靠分布式数据融合方案

2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2011-12-27 DOI: 10.1109/AICCSA.2011.6126603

J. Bahi, M. Hakem, A. Makhoul

引用次数: 0

Averaging measurement strategies for identifying single nucleotide polymorphisms from redundant data sets 从冗余数据集中识别单核苷酸多态性的平均测量策略

2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2011-12-27 DOI: 10.1109/AICCSA.2011.6126593

Tai-Chun Wang, J. Taheri, Albert Y. Zomaya

{"title":"Averaging measurement strategies for identifying single nucleotide polymorphisms from redundant data sets","authors":"Tai-Chun Wang, J. Taheri, Albert Y. Zomaya","doi":"10.1109/AICCSA.2011.6126593","DOIUrl":"https://doi.org/10.1109/AICCSA.2011.6126593","url":null,"abstract":"Single nucleotide polymorphisms (SNPs) studies have been an active topic of research in the life sciences in recent years. Because SNPs are abundant, stable and sometimes can be related to specific diseases, they have been widely selected as biomarkers for multi-purpose research. As traditional methods for identifying SNPs are time-consuming and expensive, discovering SNPs from expressed sequence tags (ESTs) has became an alternative efficient way. As most EST databases do not store quality/trace files together with EST reads, several methods, like Phard, which requires corresponding sequences quality files, will not be suitable for further research purpose. Thus, computational methods that are able to obtain reliable SNPs without the need for trace/quality information are still essential. We have developed a pipeline framework, called PFSNP, to reveal reliable SNPs from EST data sets without the association of trace/quality files. PFSNP deploys several strategies, like modified neighborhood quality standard measurement and fuzzy logic, in this framework. Also, it automatically adjusts the slide window to efficiently fit different conditions of data sets. PFSNP is demonstrated by identifying SNPs from two subgroups of Oryza sativa with two different strategies as well as zebrafish. Based on our experimental results, PFSNP can obtain higher reliable results when compared to existing methods.","PeriodicalId":375277,"journal":{"name":"2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121091327","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

Satellite image classification using a classifier integration model 基于分类器集成模型的卫星图像分类

2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2011-12-27 DOI: 10.1109/AICCSA.2011.6126608

Dong-Chul Park, T. Jeong, Yunsik Lee, Soo-Young Min

引用次数: 8

Modeling gene regulatory networks: A survey 基因调控网络建模:综述

2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2011-12-27 DOI: 10.1109/AICCSA.2011.6126584

W. Gomaa

{"title":"Modeling gene regulatory networks: A survey","authors":"W. Gomaa","doi":"10.1109/AICCSA.2011.6126584","DOIUrl":"https://doi.org/10.1109/AICCSA.2011.6126584","url":null,"abstract":"One of the major missions of the health care enterprise in Egypt is the proper control of local endemic diseases, such as liver and breast cancers, through the development and maintenance of integrated quality programs in patient care, research, education, and prevention. This was particularly manifested by the establishment of the National Cancer Institute NCI in the 1950's [1]. NCI is the largest comprehensive cancer center in Egypt, and is committed to the multidisciplinary approach to cancer management in which different treatment modalities cooperate rather than compete. Given a particular kind of disease one of the major problems to its management and treatment can be summarized by the following: (1) to isolate the genes that are involved in that cancer, (2) to model the interactions among these genes to derive what is called Gene Regulatory Network GRN, and (3) to detect the topological changes among the GRN of the normal state, the GRN of the cancer state, and the GRN that results as a pharmacologic response to a therapeutic intervention; these changes are called biomarkers. Modeling of GRNs is a multidisciplinary task that poses many scientific challenges. The subject has gained much interest in the past few years. In this article we give a quick survey of the current modeling techniques of gene regulatory networks.","PeriodicalId":375277,"journal":{"name":"2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116773168","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

Measuring “Sybil attacks” in Kademlia-based networks 在基于卡德米亚的网络中测量“西比尔攻击”

2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2011-12-01 DOI: 10.1109/AICCSA.2011.6126586

Xiangtao Liu, Kai Cai, Yang Li

引用次数: 5