In this paper we decide to study a some of Non Uniform Sampling (NUS) schemes particulary its random processes schemes;jittered random sampling(JS) and the additive random sampling (ARS) and and its application for a ...
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ISBN:
(纸本)9780769536545
In this paper we decide to study a some of Non Uniform Sampling (NUS) schemes particulary its random processes schemes;jittered random sampling(JS) and the additive random sampling (ARS) and and its application for a RF bandpass sampling receiver. These techniques sampling has desirable alias suppression properties. First, effects of jittered and additive random sampling to suppress aliasing artifacts are detailed. Then, we propose a Robust RF bandpass sampling receiver using NUS schemes. Finally, performance of JS and ARS schemes on reconsntruction SNR for bandpass signals are compared. Simulation results give that JS with uniform distribution is the robusted technique on the terme of SNR.
The present research examined the role of national differences in positivity as an explanation of cross-national variation in job satisfaction (JS) ratings. National positivity values were derived from a sample of cur...
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The present research examined the role of national differences in positivity as an explanation of cross-national variation in job satisfaction (JS) ratings. National positivity values were derived from a sample of current employees by calculating the mean residual in a regression of global JS on mean facet satisfaction ratings. As predicted, the positivity values derived in the present research showed convergent validity with other indices of nation-level positivity, and national differences in extraversion. National differences in positivity showed significant incremental associations with national differences in JS ratings after controlling for the effects of acquiescence, perceived differences in working conditions, and national development. Theoretical and practical implications of the results are discussed.
MapReduce is a distributed processing algorithm which breaks up large problem sets into small pieces, such that a large cluster of computers can work on those small pieces in an efficient, timely manner. MapReduce was...
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ISBN:
(纸本)9783642102646
MapReduce is a distributed processing algorithm which breaks up large problem sets into small pieces, such that a large cluster of computers can work on those small pieces in an efficient, timely manner. MapReduce was created and popularized by Google, and is widely used as a means of processing large amounts of textual data for the purpose of indexing it for search later on. This paper examines the feasibility of using smart mobile devices in a MapReduce system by exploring several areas, including quantifying the contribution they make to computation throughput, end-user participation, power consumption, and security. The proposed MapReduce System over Heterogeneous Mobile Devices consists of three key components: a server component that coordinates and aggregates results, a mobile device client for iPhone, and a traditional client for reference and to obtain baseline data. A prototypical research implementation demonstrates that it is indeed feasible to leverage smart mobile devices in heterogeneous MapReduce systems, provided certain conditions are understood and accepted. MapReduce systems could see sizable gains of processing throughput by incorporating as many mobile devices as possible in such a heterogeneous environment. Considering the massive number of such devices available and in active use today, this is a reasonably attainable goal and represents an exciting area of study. This paper introduces relevant background material, discusses related work, describes the proposed system, explains obtained results, and finally, discusses topics for further research in this area.
Joubert syndrome (JS) is a developmental brain disorder characterized by cerebellar vermis hypoplasia, abnormal eye movement, ataxia and mental retardation. Mutations in CEP290 mutations are responsible for the cerebe...
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Joubert syndrome (JS) is a developmental brain disorder characterized by cerebellar vermis hypoplasia, abnormal eye movement, ataxia and mental retardation. Mutations in CEP290 mutations are responsible for the cerebello-oculo-renal subtype of JS that includes kidney cysts and retinal degeneration, two phenotypes commonly linked to ciliopathies. CEP290 mutations are also associated with Meckel-Gruber syndrome and Bardet-Biedl syndrome (BBS). Here we demonstrate that CEP290 interacts with a centriolar satellite protein PCM-1, which is implicated in BBS4 function. CEP290 binds to PCM-1 and localizes to centriolar satellites in a PCM-1- and microtubule-dependent manner. The depletion of CEP290 disrupts subcellular distribution and protein complex formation of PCM-1. In accord with PCM-1's role in microtubule organization, CEP290 knockdown causes the disorganization of the cytoplasmic microtubule network. Moreover, we show that both CEP290 and PCM-1 are required for ciliogenesis and are involved in the ciliary targeting of Rab8, a small GTPase shown to collaborate with BBS protein complex to promote ciliogenesis. Our results suggest that PCM-1 is a potential mediator that may link CEP290 with BBS proteins in common molecular pathways.
Sharp, Teichroeb and Forrest [J.S. Sharp, J.H. Teichroeb, J.A. Forrest, Eur. Phys. J. E 15, 473 (2004)] recently published a viscoelastic contact mechanics analysis of the embedment of gold nanospheres into a polystyr...
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Sharp, Teichroeb and Forrest [J.S. Sharp, J.H. Teichroeb, J.A. Forrest, Eur. Phys. J. E 15, 473 (2004)] recently published a viscoelastic contact mechanics analysis of the embedment of gold nanospheres into a polystyrene (PS) surface. In the present comment, we investigate the viscoelastic response of the surface and conclude that the embedment experiments do not support the hypothesis of a liquid surface layer of sufficiently reduced "rheological temperature" to explain reports of very large reductions in the glass temperature of freely standing ultrathin polystyrene films. We also report some errors and discrepancies in the paper under comment that resulted in an inability to reproduce the reported calculations. We present our findings of error in a spirit of clarifying the problem of embedment of spheres into surfaces and in order that others can understand why they may not reproduce the results reported by Sharp, Teichroeb and Forrest. In the comment, we also examine the effects of the magnitude of the forces that result from the polymer surface-nanosphere particle interactions on the viscoelastic properties deduced from the embedment data and we provide a comparison of apparent surface or "rheological" temperature vs. experimental temperature that indicates further work needs to be performed to fully understand the surface embedment experiments. Finally, we comment that the nanosphere embedment measurements have potential as a powerful tool to determine surface viscoelastic properties.
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