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The goal of NASA's land long term data record (LTDR) project is to produce a consistent long term data set from the AVHRR and MODIS instruments for land climate studies. The project will create daily surface reflectance and normalized difference vegetation index (NDVI) products at a resolution of 0.05deg, which is identical to the climate modeling grid (CMG) used for MODIS products from EOS Terra...
The LHC magnet tests operation team developed various innovative techniques, particularly since early 2004, to complete the superconductor magnet tests by Feb. 2007. Overall and cryogenic priority handling, rapid on-bench thermal cycling, rule-based goodness evaluation on round-the-clock basis, multiple, mashed web systems are some of these techniques applied with rigour for successful tests completion...
The breakdown of HfO2, HfZrO2 and HfSiON gate stacks with TiN metal gate under substrate injection regime is investigated and confronted with the Multi-Vibrational Hydrogen Release model. It turns out that for HfO2 and HfZrO2 because no Si-H bonds are present at the TiN interface, MVHR from Si-H bonds can not take place. Moreover, even adapting the model by supposing hydrogen release from another...
Self-heating (SH) effects, observed during the development of SOI technology for high performance circuits, raise questions concerning the validity of the extrapolation method used for hot carrier injection (HCI). The integration of buried oxide, with low thermal conductivity, enhances self-heating (SH) in MOS transistor devices submitted to DC HCI stress, and leads to potential erroneous HCI lifetime...
Constant downscaling of transistors leads to increase the relative difference between Lmask and Leff. Effective length (Leff) extractions are now crucial to avoid calculations errors on parameters such as the mobility, which can exceed 100% for shorter devices. We propose an industrially-adapted method to extract Leff by using an enhanced "split C-V" method. Accurate and consistent values...
E-mail plays an important role as a medium for the spread of information, ideas, and influence among its users. We present a framework to learn topic-based interactions between pairs of E-mail users, i.e., the extent to which the E-mail topic dynamics of one user are likely to be affected by the others. The proposed framework is built on the influence model and the probabilistic latent semantic analysis...
In this work we have characterized the self-heating in NMOS transistors using gate resistance methodology. The resulting self-heating model was used to estimate the channel temperature during DC HCI stress. Furthermore, the same model (Arrhenius) was used to extrapolate HCI lifetime corresponding to analog and digital applications. And this is demonstrated for NMOS transistor and for PMOS transistor...
In this paper, stress induced leakage current under positive gate voltage is investigated. It turns out that it is caused by bulk defects that are also responsible for breakdown. Moreover, it appears that depending on the gate voltage, erroneous estimation could be made and could affect the conclusions on the reliability
Our long-term objective is to develop robots that engage in natural language-mediated cooperative tasks with humans. To support this goal, we are developing an amodal representation and associated processes which is called a grounded situation model (GSM). We are also developing a modular architecture in which the GSM resides in a centrally located module, around which there are language, perception,...
Nowadays the SiO2 layer thickness (tox) is 1.2 nm or less, and the reliability of such ultra-thin oxide layers has become a major concern for continued scaling. Experimental observation of the empirical power law voltage-dependence was reported on ultra-thin oxides as presented in Wu et al. (2002). We have shown that this unexpected dependence could originate from the multi-vibrational excitation...
We have proposed a new methodology to study both DC and AC NBTI effects taking into account both the recoverable property of the degradation and the electrical parameter legitimacy in each electrical configuration. In this new framework, characterization phases induce no effect (neither recovery nor extra-damage) on the degradation. For DC NBTI with a partial/uniform recovery, a generalized universal...
Cellular automaton (CA) has been shown to be capable of generating complex and random patterns out of simple rules. There has been constant efforts of applying CA to develop ciphers, but the attempts have not been successful. This paper describes how repeated application of simple CA transforms may be used to achieve confusion and diffusion, needed in block ciphers. The components have been evaluated...
A template-based technique for automatic recognition of birdsong syllables is presented. This technique combines time delay neural networks (TDNNs) with an autoregressive (AR) version of the backpropagation algorithm in order to improve the accuracy of bird species identification. The proposed neural network structure (AR-TDNN) has the advantage of dealing with a pattern classification of syllable...
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