{"title":"Improving Clinical Data Warehouse Performance via a Windowing Data Structure Architecture","authors":"J. Nealon, W. Rahayu, E. Pardede","doi":"10.1109/ICCSA.2009.23","DOIUrl":"https://doi.org/10.1109/ICCSA.2009.23","url":null,"abstract":"Data warehousing and on-line analytical processing (OLAP) are essential elements of decision support and commonly require large periods of time to process query results. Given that, it is crucial to tailor individual performance solutions based on the structure and merits of the data within the data warehouse to obtain the most optimal configuration. Therefore, this paper presents an analysis of the defining features of a clinical data warehouse, where the focus of the analysis is centered on the opportunities and threats for optimization purposes, based on the types of queries that are likely to arise. From the findings, the paper introduces a Windowing Data Structure Architecture(WDSA) to increase the performance of OLAP queries on a clinical data warehouse, which manages a collection of popular windows. The cost of processing a query using a simple instance of the WDSA was compared against existing query processing techniques such as nested join and hash join, to which the technique greatly outperformed both in almost all cases.","PeriodicalId":387286,"journal":{"name":"2009 International Conference on Computational Science and Its Applications","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132911172","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":"Performance Analysis for FMIPv6 Considering Probability of Predictive Mode Failure","authors":"Seonggeun Ryu, Youngsong Mun","doi":"10.1109/ICCSA.2009.22","DOIUrl":"https://doi.org/10.1109/ICCSA.2009.22","url":null,"abstract":"Mobile IPv6 (MIPv6) is a protocol to support mobility for IPv6. Fast Handovers for MIPv6 (FMIPv6) have been studied, since in MIPv6 handover latency is long, and all packets are lost during handover. FMIPv6 provides seamless handover by minimizing handover latency, and prevents packet loss through buffering and tunneling. FMIPv6 uses anticipation based on layer 2 trigger information, and consists of two modes such as predictive mode and reactive mode. Several works have been done to evaluate the performance of FMIPv6 in different network environments. However, the previous works did not consider probability of predictive mode failure that classifies the two modes. Also, in the most previous works the two modes of FMIPv6 are evaluated separately. In this paper, FMIPv6 combining the two modes is analyzed through probability of predictive mode failure, since FMIPv6 is just a protocol. We investigate probability of predictive mode failure to find important elements in network environment. Then, FMIPv6 is analyzed by these elements for performance evaluation with respect to various metrics like signaling cost, delivery cost, and buffering cost. Numerical results show a trade-off between performance and system parameters. Then, we shows methods to optimize FMIPv6 using probability of predictive mode failure and layer 2 trigger time.","PeriodicalId":387286,"journal":{"name":"2009 International Conference on Computational Science and Its Applications","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114250816","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":"Proposal of Service System for Ubiquitous Learning System on Adaptive Instructional System","authors":"Duckki Kim, Young-Mi Mun","doi":"10.1109/ICCSA.2009.29","DOIUrl":"https://doi.org/10.1109/ICCSA.2009.29","url":null,"abstract":"The purpose of this study addresses service model for enhancement u-learning system’s utilization on adaptive instruction system. Proposed service model include two systems. The one is the U-book system and the other is the preWBI system. Proposed service model should be able to retrieve information without ubiquitous computing technology and to access on line contents unless location of them. Under more individualized instruction environment, proposed service model support maximum utilization of u-learning system for adaptive instruction system.","PeriodicalId":387286,"journal":{"name":"2009 International Conference on Computational Science and Its Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122059432","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":"Triangulation of Molecular Surfaces Using an Isosurface Continuation Algorithm","authors":"Adriano N. Raposo, J. Queiroz, A. Gomes","doi":"10.1109/ICCSA.2009.16","DOIUrl":"https://doi.org/10.1109/ICCSA.2009.16","url":null,"abstract":"There are several computational models and algorithms for the visualization of biomolecules (e.g. proteins and DNA), usually as three-dimensional surfaces called molecular surfaces. Based on the Van-der-Waals model, which represents a molecule as a set of spheres (i.e. atoms), a major approach in modeling and visualization of molecular surfaces, called blobby molecules, represents an implicitly-defined molecular surface as the result of the sum of implicit functions, where each function describes a Van-der-Walls sphere (i.e. the geometry of an atom). In general, these surfaces are polygonized using the well known marching cubes algorithm or similar space-partitioning method. In contrast, this paper presents a very accurate continuation algorithm to polygonize blobby molecules with a very high mesh quality, smoothness and scalability.","PeriodicalId":387286,"journal":{"name":"2009 International Conference on Computational Science and Its Applications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128047427","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}
S. M. Mannan, Husna Mutahira, Abdul Majid, T. Choi
{"title":"Recovering 3D Shape of Weak Textured Surfaces","authors":"S. M. Mannan, Husna Mutahira, Abdul Majid, T. Choi","doi":"10.1109/ICCSA.2009.25","DOIUrl":"https://doi.org/10.1109/ICCSA.2009.25","url":null,"abstract":"3D shape recovery of the object from its 2D images based on Image Focus has been an important field of research. Shape from Focus (SFF) is one of the passive methods to recover the shape of the object. Mostly,existing approaches work well with dense textured objects; however, they cannot compute depth of weak textured scenes with great precision. In this paper, we propose a new SFF algorithm which improves there covered shape of weak textured objects. The proposed method is experimented and its performance is tested using different image sequences of synthetic and real objects with varying texture. The proposed approach provides better results as compared to previous approaches.","PeriodicalId":387286,"journal":{"name":"2009 International Conference on Computational Science and Its Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128362833","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}