نتایج جستجو برای: layered approach
تعداد نتایج: 1319072 فیلتر نتایج به سال:
In comparison to other communication networks, Vehicular Ad-hoc Networks (VANETs) have unique requirements with respect to applications, types of communication, self-organization and other issues. In order to meet these requirements, the structuring of functionalities into protocols and their interaction must be re-thought. The traditional approach of decomposition of functionality into protoco...
Two-dimensional (2D) nanomaterials, especially 2D organic nanomaterials with unprecedentedly diverse and controlled structure, have attracted decent scientific interest. Among the preparation strategies, the top-down approach is one of the considered low-cost and scalable strategies to obtain 2D organic nanomaterials. However, some factors of their layered counterparts limited the development a...
This course serves as a guide on the considerable potential of layered surface models. The key advantage of using such layered BRDFs over traditional, more general shading language constructs is that the end result is automatically highly physically plausible. In particular, we demonstrate on a simple layered surface model that combines several traditional BRDF components how a surprisingly lar...
Layered decoding is well appreciated in Low-Density Parity-Check (LDPC) decoder implementation since it can achieve effectively high decoding throughput with low computation complexity. This work, for the first time, addresses low complexity column-layered decoding schemes and VLSI architectures for multi-Gb/s applications. At first, the Min-Sum algorithm is incorporated into the column-layered...
Reconsidering Subjective Norm - A Multilayer-Framework for Modeling Normative Beliefs in IT Adoption
In the history of adoption research, subjective norm mostly remains as the unloved child, being significant in this analysis and not significant in that analysis. Already Davis et al. had to exclude subjective norm of the Technology Acceptance Model due to theoretical and measurement problems. Overall the results of subjective norm as an antecedent for behavioral intention in IS research are qu...
A simple model of the dynamics of flaws within a software security system is presented. We demonstrate how this model can be fully captured by a Galton-Watson branching process and thus can be effectively calculated upon. Using the limit behaviour of a Galton-Watson branching process, we can demonstrate how a multi-layered security system can become secure even with ’poor’ flaw correction. Fina...
Cross-plane thermal conductivity kth measurements of vertical stacks of FePt/C were used to estimate the in-plane thermal conductivity of Heat Assisted Magnetic Recording (HAMR) media that consist of columnar FePt grains segregated by thin C grain boundaries. FePt/C multilayers with varied repeat units and FePt layer thicknesses (chosen to represent HAMR media grain sizes) were measured using F...
We propose a method for visualizing a set of related metabolic pathways across organisms using 2 1/2 dimensional graph visualization. Interdependent, twodimensional layouts of each pathway are stacked on top of each other so that biologists get a full picture of subtle and significant differences among the pathways. The (dis)similarities between pathways are expressed by the Hamming distances o...
introduction lead-based shields are the most widely used attenuators in x-ray and gamma ray fields. the heavy weight, toxicity and corrosion of lead have led researchers towards the development of non-lead shields. materials and methods the purpose of this study was to design multi-layered shields for protection against x-rays and gamma rays in diagnostic radiology and nuclear medicine. in this...
production of highly viscous tar sand bitumen using steam assisted gravity drainage (sagd) with a pair of horizontal wells has advantages over conventional steam flooding. this paper explores the use of artificial neural networks (anns) as an alternative to the traditional sagd simulation approach. feed forward, multi-layered neural network meta-models are trained through the back-error-propaga...
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