Many large-scale scientific experiments and simulations generate very large amounts of data (on the order of terabytes to petabytes), spanning thousands of files and data sets. We have developed a software system, cal...
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Today’s scientific simulations often generate huge amounts of data for data archival, data analysis, and visualization. These data are stored in high-performance distributed storages that consist of a network-oriente...
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in this paper we consider polynomial kernel representations for behaviors. For behaviors over fields it is well-known that minimal representations, i.e. representations with minimal row degrees, are exactly those repr...
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The intricacy of real-time data service management increases mainly due to the emergence of applications operating in open and unpredictable environments, increases in software complexity, and need for performance gua...
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Concurrent accesses to a file frequently occur in a distributed computing environment where a few number of network-attached servers are designated as a data storage pool and the clients are physically connected to th...
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The GENERTIA red team uses a genetic algorithm to perform vulnerability analysis in an effort to discover holes in an intrusion detection system. This paper demonstrates how a GENERTIA blue team generates detectors to...
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ISBN:
(纸本)9781581139648
The GENERTIA red team uses a genetic algorithm to perform vulnerability analysis in an effort to discover holes in an intrusion detection system. This paper demonstrates how a GENERTIA blue team generates detectors to patch those holes discovered by the GRT, The GBT uses a novel approach to generate detectors that have different coverage in order to reduce the amount of overlap of detectors created by random generation and negative selection. Copyright 2005 ACM.
This article introduces XChange, a rule-based reactive language for the (Semantic) Web. Stressing application scenarios, it first argues that high-level reactive languages are needed for both Web and Semantic Web appl...
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In this paper, we describe a novel class AB opamp based on dynamic threshold voltage transistors (DTMOS) for low voltage (1-V), low power and low noise applications. The opamp is used to build the front-end receiver p...
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over the last few years, Grid technologies have progressed towards a service-oriented paradigm that enables a new way of service provisioning based on utility computing models. Users consume these services based on th...
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We have developed a novel analog front-end part of a wireless brain oxymeter receiver instrument based on nearinfrared spectroreflectometry (NIRS). The NIRS receiver makes use of dynamic threshold transistors (DTMOS) ...
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ISBN:
(纸本)9806560582
We have developed a novel analog front-end part of a wireless brain oxymeter receiver instrument based on nearinfrared spectroreflectometry (NIRS). The NIRS receiver makes use of dynamic threshold transistors (DTMOS) for low voltage (1-V), low power and low noise enhancement. The design is composed of a transimpedance amplifier (TIA) and an operational transconductance amplifier (OTA). The OTA differential input pairs are in a class AB configuration, and uses DTMOS devices for input common-mode range enhancement. Post-layout simulations under a 5 pF load, using 0.18 μm CMOS technology results are, for the OTA, an input referred noise of 134 nV/√Hz at 1 kHz, and a power consumption of 16.7 μW without any extra noise reduction technique. Also, the TIA gives 208 pA/√Hz at 1 kHz, while having a power consumption of only 10.9 μW. The proposed analog front-end circuits have been used to implement a NIRS receiver instrument with improved ultra low-light level measurements, high resolution and good temperature stability.
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