Nanoscale porous silicon waveguides, both on silicon substrates and free-standing membranes, are explored for biosensing applications. Measured detection limits in the nanomolar range are reported for DNA sensing. ...
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This article shows that the effect of holiday on Thursday affects significantly the load behavior on the next Friday due to the Brazilian culture of joining the holiday with the weekend. A statistic test shows that th...
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ISBN:
(纸本)9780769532578
This article shows that the effect of holiday on Thursday affects significantly the load behavior on the next Friday due to the Brazilian culture of joining the holiday with the weekend. A statistic test shows that there are differences between the Friday following the holidays and other Fridays. Also, using a legacy forecast system with usual MAPE (mean absolute percentage error) rates at 2.5%, forecasting tests for these special Fridays that follows the holiday reach about 10% MAPE. This error rate shows that this fact should be considered while performing load forecasting. Preliminary forecasting tests using an artificial neural network to adjust the legacy forecast result output for these special Fridays reduce the 10% MAPE to the same 2.5% MAPE level obtained by the legacy system on common days. It demonstrates that this is a possible solution that can be also applied to this specific forecast problem or to similarones.
This paper discusses phase noise characteristics of an Fr oscillator focusing on a signal output position. Oscillation circuits can be divided into an amplifier and a feedback circuit. We compared that phase noise cha...
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The rapid growth of the biomedical literature and genomic information presents a major challenge for determining the functional relationships among genes. In this study, we develop a Web-based bioinformatics software ...
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The rapid growth of the biomedical literature and genomic information presents a major challenge for determining the functional relationships among genes. In this study, we develop a Web-based bioinformatics software environment called FAUN or feature annotation using nonnegative matrix factorization (NMF) to facilitate both the discovery and classification of functional relationships among genes. Both the computational complexity and parameterization of NMF for processing gene sets are discussed. We tested FAUN on three manually constructed gene document collections, and then used it to analyze several microarray-derived gene sets obtained from studies of the developing cerebellum in normal and mutant mice. FAUN provides utilities for collaborative knowledge discovery and identification of new gene relationships from text streams and repositories (e.g., MEDLINE). It is particularly useful for the validation and analysis of gene associations suggested by microarray experimentation.
Emerging 64 bitOSpsilas supply a huge amount of memory address space that is essential for new applications using very large data. It is expected that the memory in connected nodes can be used to store swapped pages e...
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Emerging 64 bitOSpsilas supply a huge amount of memory address space that is essential for new applications using very large data. It is expected that the memory in connected nodes can be used to store swapped pages efficiently, especially in a dedicated cluster which has a high-speed network such as 10 GbE and Infiniband. In this paper, we propose the distributed large memory system (DLM), which provides very large virtual memory by using remote memory distributed over the nodes in a cluster. The performance of DLM programs using remote memory is compared to ordinary programs using local memory. The results of STREAM, NPB and Himeno benchmarks show that the DLM achieves better performance than other remote paging schemes using a block swap device to access remote memory. In addition to performance, DLM offers the advantages of easy availability and high portability, because it is a user-level software without the need for special hardware. To obtain high performance, the DLM can tune its parameters independently from kernel swap parameters. We also found that DLMpsilas independence of kernel swapping provides more stable behavior.
Nanoscale porous silicon waveguides, both on silicon substrates and free-standing membranes, are explored for biosensing applications. Measured detection limits in the nanomolar range are reported for DNA sensing.
Nanoscale porous silicon waveguides, both on silicon substrates and free-standing membranes, are explored for biosensing applications. Measured detection limits in the nanomolar range are reported for DNA sensing.
In this paper, we present a parallelization of a filtering algorithm related to non-linear anisotropic diffusion, used to enhance the performance of an application in a parallel distributed system. The anisotropic dif...
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ISBN:
(纸本)9780769532578
In this paper, we present a parallelization of a filtering algorithm related to non-linear anisotropic diffusion, used to enhance the performance of an application in a parallel distributed system. The anisotropic diffusion is a well-established technique for image enhancement by means of diffusivity functions, which act as border attenuators. However, it requires a high computational cost when a large amount of data is used. The proposed implementation was parallelized considering both point-to-point and collective communications, adopting the MPI paradigm. Results from both approaches indicate that the proposed algorithm has reached interesting levels of performance (81% and 93% of efficiency, respectively) when compared to the execution of one process in a single computer node. In addition, our results indicate an enhancement of around 21% utilizing the collective communication strategy when compared to point-to-point communication.
Intrusion detection systems continuously watch the activity on a network or computer, looking for attack and intrusion evidences. However, host-based intrusion detectors are particularly vulnerable, as they can be dis...
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Intrusion detection systems continuously watch the activity on a network or computer, looking for attack and intrusion evidences. However, host-based intrusion detectors are particularly vulnerable, as they can be disabled or tampered by successful intruders. This work proposes and implements an architecture model aimed to protect host-based intrusion detectors, through the application of the virtual machine concept. Virtual machine environments are becoming an interesting alternative for several computing systems due to their advantages in terms of cost and portability. The architecture proposed here makes use of the execution spaces separation provided by a virtual machine monitor, in order to separate the intrusion detection system from the system under monitoring. As a consequence, the intrusion detector becomes invisible and inaccessible to intruders. The prototype implementation and the tests performed show the viability of this solution. (c) 2006 Elsevier B.V. All rights reserved.
This paper presents an implementation of a P2P Web Browser, called We2Peer(1), for publishing web pages on internet through peer-to-peer networks. The present proposal overcomes the problems involving entities depende...
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ISBN:
(纸本)9780769528465
This paper presents an implementation of a P2P Web Browser, called We2Peer(1), for publishing web pages on internet through peer-to-peer networks. The present proposal overcomes the problems involving entities dependency and content availability, by the user side, changing the conventional way used to publish web pages on Internet The proposed solution allows anyone who has a computer connected to the Internet, even through domestic ADSL connection, to publish web pages on their own machines. By using a peer-to-peer web browser another mechanism for searching web pages is offered based on DHT (Distributed Hash Tables). The user interface, provided by Web2Peer, carries all functions needed for creating, editing, publishing, searching, downloading and replicating the web pages on the peer-to-peer network.
A fuzzy version of an Evolutionary Algorithm for Clustering (EAC) proposed in, previous work is introduced. This algorithm uses a fuzzy cluster validity criterion and a fuzzy local search algorithm instead of their ha...
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ISBN:
(纸本)9781424412099
A fuzzy version of an Evolutionary Algorithm for Clustering (EAC) proposed in, previous work is introduced. This algorithm uses a fuzzy cluster validity criterion and a fuzzy local search algorithm instead of their hard counterparts employed by EAC. It is shown by means of theoretical complexity analyses that this algorithm can be more efficient than systematic (i.e. repetitive) approaches when the number of clusters is unknown. An illustrative example with computational experiments and statistical analyses is also presented.
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