A. L. Amousail, Ho, L. Nvoberghs, Scihool, Mechanial Eig
{"title":"3D Visualisation of Cerebrospinal Fluid Flow Within the Human Central Nervous System","authors":"A. L. Amousail, Ho, L. Nvoberghs, Scihool, Mechanial Eig","doi":"10.1109/DFMA.2006.296914","DOIUrl":"https://doi.org/10.1109/DFMA.2006.296914","url":null,"abstract":"The cerebrospinal fluid (CSF) is a biomedical fluid contained within the central nervous system (CNS). It is produced in the ventricular system within the brain and is contained between the meninges, which are membranes lining the brain and the inside of the spine and cranium. It has a major role as a damper that protects the head from injuries and transports biochemical elements and proteins inside the brain. In this paper a three dimensional (3D) model of the human ventricular system (HVS) is used to investigate the flow of CSF within the human brain, using computational fluid dynamics (CFD). CSF can be modelled as a Newtonian fluid and its flow through the HVS can be visualized using CFD. In this investigation a 3D geometric model of the HVS is constructed from MRI data. It is the only model of its type to date. The flow of CSF within the HVS is a complicated phenomenon due to the complex HVS geometry. Understanding the nature of CSF flow allows engineers and physicians to design medical techniques and drugs to treat various HVS complications, such as hydrocephalus as a result of a tumour","PeriodicalId":333315,"journal":{"name":"The 2nd International Conference on Distributed Frameworks for Multimedia Applications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115335152","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}
{"title":"L2/OPN design and dynamic TCP manage for Grid High Performance network","authors":"Minkee Noh, K. Yoo, Kwangjong Cho","doi":"10.1109/DFMA.2006.296893","DOIUrl":"https://doi.org/10.1109/DFMA.2006.296893","url":null,"abstract":"As the Internet is widely used, high performance networks and systems prompts appearance of various applications and the appearance requests higher capacity resources. Recently, studies on grid are actively conducted to reorganize each computing resource, which used to be scattered for each application requesting these high capacity calculation resources, into a virtual high capacity resource by connecting to networks. The network needed in this grid environment has been progressed along with the WDM-base Lambda network that can build a high-bandwidth network for relatively low cost. This article presents two ways that improve network performance on grid environment. First way is approach to reorganize the existing network into L2/OPN (optical private network) by using Lambda networking to avoid traffic congestion. And second way is manage TCP windows buffer size to present a suitable TCP size for the grid environment","PeriodicalId":333315,"journal":{"name":"The 2nd International Conference on Distributed Frameworks for Multimedia Applications","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130540182","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}
{"title":"Duplicate Detection for Protein Data Using Simple Close Algorithm","authors":"Z. Zainol, Normaslina Taib","doi":"10.1109/DFMA.2006.296908","DOIUrl":"https://doi.org/10.1109/DFMA.2006.296908","url":null,"abstract":"Due to the exploratory nature of biological database commercial and publicly, they are invited some drawback such as inaccurate, incomplete, duplicate and outdated of the genome data. Some work must be done to maintain quality data in genome data. Our objective in this paper is to provide a duplicate detection framework which focus on duplicate records in a real world Mice data protein database using simple close algorithm (SCA). SCA is an enhancement of work where they used a priori algorithm to generate the rule. In our approach we used matrix structure to represent data in a database. We implement SCA using Java programming language on 1.4 GHz Pentium 4 PC machine. As a result we show SCA can produces less duplicate rule (non-redundant) than a priori without loss of information and also improves the execution time","PeriodicalId":333315,"journal":{"name":"The 2nd International Conference on Distributed Frameworks for Multimedia Applications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115308254","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}