Direct bonding of GaAs films on silicon circuits by epitaxial liftoff

Epitaxial liftoff has emerged as a viable technique to integrate GaAs with silicon. The technique relies on the separation of a thin epi-GaAs film from its substrate followed by direct bonding of the thin film to a silicon substrate. The silicon substrate has to meet certain planarity and smoothness conditions in order to obtain high quality bonding. Unfortunately, processed silicon IC chips do not satisfy these conditions. In this paper, we report on the results of two different planarization techniques, plasma etch back and chemical-mechanical polishing, to integrate GaAs LEDs with silicon circuits using epitaxial liftoff. 4 by 8 arrays of GaAs LEDs have been integrated with silicon driver circuits using plasma etch back. We also have lifted off areas as large as 500 mm² and bonded them on 5″ device wafers by chemical-mechanical polishing. This can be essential for mass production of optoelectronic devices based on epitaxial liftoff.     

Automatic environmental noise source classification model using fuzzy logic

Noise classification is very important nowadays. Fuzzy logic has been applied to many interesting problems in different areas including noise identification/recognition. With this study, we propose an automatic environmental noise source classifier based on fuzzy logic. The proposed classifier uses the feature parameters that are extracted using short-time auto-correlation function. Six commonly encountered non-stationary noise sources are chosen to recognize. These are subway, airport, inside car, inside train, restaurant, and rain. Classification accuracy of the proposed classifier ranged from 62% to 90% rates.     

Digital Low-Pass Differentiation for Biological Signal Processing

Digital low-pass differentiation is often required in processing various biological or biomechanical data. However, both the nature of biological signals and the use of micro-or minicomputers in such applications imply the need for simple, low-order, and fast differentiation methods, rather than sophisticated high-order algorithms. Responding to this need, we investigate here the low-pass first- and second-order digital differentiation from both theoretical and practical points of view, in order to achieve good and simple algorithms. In contrast with most of the research works previously done in this field, whose main aim was to achieve better accuracy even in the cost of using quite high-order algorithms, we restrict ourselves in this study only to low orders, being interested not only in the accuracy achieved, but also in the simplicity of the algorithm. After discussing the theoretical considerations concerning our optimum low-pass differentiation filters, we present our simple low-order filters and show them to be not only very convenient for use, but also almost optimum.     

Surface-sediment dynamics in a dust source from spaceborne multispectral thermal infrared data

This study utilized spaceborne multispectral thermal infrared (TIR) data to document spatial relationships of surface sediments over time in a modern depositional environment associated with dust emissions, Soda Lake playa, Mojave Desert, United States. The approach employed here involved time-series TIR data acquired from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and a linear spectral mixture analysis. An automated algorithm was applied to derive emissivity image endmembers. Evaluation of the chosen endmembers revealed that they can be categorized into five major spectra classes based on diagnostic absorption features. Each spectrum has been identified in relation to mineral abundance and soil arrangement that are common in playa settings: A, “clayey silt-rich crust”; B, “intermediate-salt crust”; C, “quartz-rich deposit”; D, “salt-rich rough crust”; E, “sulfate-rich crust”. Spectral classes A-B-C-D yielded the lowest RMS errors (0-0.025) over time in the iterative deconvolution algorithm between the measured and modeled spectra. The produced fractional abundance images show high areal concentrations for clayey silt-rich crust, salt-rich rough crust, and quartz-rich deposit, as the first surficial mapping of Soda Lake. Significant changes in the spatial relationships of the major surface sediments in Soda Lake were observed after a flooding event (2005) and a relatively dry period (2006). The approach utilized in this study can be advantageous for continuous monitoring of environments characterized by a small area and a complex surface, which may enable a better understanding of their responses to climate changes and potential for dust emissions.     

The stress corrosion cracking of welded austenitic stainless steels in MgCl2 solutions in the presence of NaI additions

The influence of Nal additions on the stress corrosion cracking (SCC) of Type 304L and 316L welded stainless steels in 42 wt% aqueous MgCl₂ solution at 154°C has been investigated. The results indicate clearly that addition of 1 N NaI to the boiling MgCl₂ solution prevents SCC of the welded steels. The I⁻ can act as an effective cathodic inhibitor. The correlation between mechanical properties, fracture morphology and the mechanism of the inhibition behaviour of I⁻ on SCC is discussed.     

The effects of physical fitness and feeling vigorous on self-rated health.

Objective: We prospectively studied the hypothesized beneficial effects of feeling vigorous and of objective physical fitness (gauged based on functional capacity) on subsequently assessed self-rated health (SRH), controlling for possible confounders known to be precursors of SRH and of our predictors. We also investigated the reverse-causation hypothesis that SRH predicts subsequent vigor and functional capacity. Design: Participants were apparently healthy employees (N = 779) who underwent a routine health check at two points of time, Time 1 (T1) and Time 2 (T2), about 18 months apart. We used regression analysis, predicting T2 SRH by T1 SRH, the control variables, and T1vigor and functional capacity. Main Outcome Measures: Vigor was assessed using the Shirom-Melamed Vigor Measure; objective physical fitness was indicated by functional capacity following a treadmill exercise, and self-rated health was measured by a single item. Results: As hypothesized, we found that the change in T2 SRH was positively predicted by T1 vigor, functional capacity, and their interactive term. Testing the reverse causation paths, we found that T1 SRH did not predict subsequent functional capacity and was a relatively weak predictor of subsequent vigor. Conclusion: The affective state of vigor and objectively assessed functional capacity interact to predict subsequent changes in self-rated health. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

VX fate on common matrices: evaporation versus degradation

A study of the volatilization rate of the nerve agent VX (O-ethyl S-2-(N,N-diisopropylamino)ethyl methylphosphonothiolate) from various urban matrices in a specially designed climatic chamber (model system) is described. The performance of the model system combined with the analytical procedure produced profiles of vapor concentration obtained from samples of VX dispersed as small droplets on the surfaces of the matrices. The results indicated that the bitumen-containing surfaces such as asphalt blocks and bitumen sheets conserve VX and slow-release part of it over a long period of time. No complete mass balance could be obtained for these surfaces. Influence of environmental and experimental parameters as well as the efficacy of decontamination procedure were also measured. From smooth surface tiles a fast release of VX was measured and almost a complete mass balance was obtained, which characterizes the behavior of inert surfaces. Experiments carried out on concrete blocks showed fast decay of the concentration profile along with a very poor reconstruction of the initial quantity of VX, implying that this matrix degraded VX actively due to its multiple basic catalytic sites. To complement this study, solid-state NMR measurements were compared to add data concerning agent-fate within the matrices.     

New transformed features generated by deep bottleneck extractor and a GMM–UBM classifier for speaker age and gender classification

Neural Computing and Applications - Speaker age and gender classification is one of the most challenging problems in speech signal processing. Recently with developing technologies, identifying...