9,034 research outputs found
Deep Convolutional Neural Networks as Generic Feature Extractors
Recognizing objects in natural images is an intricate problem involving
multiple conflicting objectives. Deep convolutional neural networks, trained on
large datasets, achieve convincing results and are currently the
state-of-the-art approach for this task. However, the long time needed to train
such deep networks is a major drawback. We tackled this problem by reusing a
previously trained network. For this purpose, we first trained a deep
convolutional network on the ILSVRC2012 dataset. We then maintained the learned
convolution kernels and only retrained the classification part on different
datasets. Using this approach, we achieved an accuracy of 67.68 % on CIFAR-100,
compared to the previous state-of-the-art result of 65.43 %. Furthermore, our
findings indicate that convolutional networks are able to learn generic feature
extractors that can be used for different tasks.Comment: 4 pages, accepted version for publication in Proceedings of the IEEE
International Joint Conference on Neural Networks (IJCNN), July 2015,
Killarney, Irelan
Escaping the Vines of the Ivory Tower: Reflections of an Engaged Professor
Public administration faculty have an obligation to engage their communities to improve conditions and the efficiency and effectiveness of government and nonprofit organizations. Engagement is also important in transmitting to students the âcraftâ knowledge of the profession of public administration through applied projects, internships, case studies, and community-based projects. Furthermore, faculty develop professionally through engagement by gaining a deeper understanding of relevant theory and practice that can be shared in the classroom. Reluctance by faculty to invest time and energy in their communities because of traditional university biases toward more theoretical work can partially be addressed by wider dialogue on the benefits of engagement. This paper contributes to this needed dialogue by reflecting on how engagement has informed the teaching and understanding of public administration theory and practice as well as been a benefit to the agencies and communities served
Navier-Stokes computations for circulation control airfoils
Navier-Stokes computations of subsonic to transonic flow past airfoils with augmented lift due to rearward jet blowing over a curved trailing edge are presented. The approach uses a spiral grid topology. Solutions are obtained using a Navier-Stokes code which employs an implicit finite difference method, an algebraic turbulence model, and developments which improve stability, convergence, and accuracy. Results are compared against experiments for no jet blowing and moderate jet pressures and demonstrate the capability to compute these complicated flows
Synthesising case-study research - ready for the next step?
Within the emerging field of research on education for sustainability (EfS), case studies are an important if not the predominant research approach, although often criticised for its lack of internal and external validity and a tendency to draw conclusions with insufficient rigour. While, basic concerns have been expressed and discussed in an early issue of this journal, main assumption still hold true after more than 10 years of research in the field. Only a few approaches so far have tackled the challenge to provide cross-case comparison and the synthesis of case-study results still remains a research desideratum. In this paper, we argue that developments in the field of qualitative and quantitative meta-analysis in educational science offer a framework, which can be used to overcome that shortcoming. After describing the idea of research synthesis, different types of such a meta-analysis are identified and their potential is discussed for existing case studies in higher EfS. This paper concludes with recommendations for further case-study research in the field
Fabrication and characterization of high quality factor silicon nitride nanobeam cavities
Si3N4 is an excellent material for applications of nanophotonics at visible
wavelengths due to its wide bandgap and moderately large refractive index (n
2.0). We present the fabrication and characterization of Si3N4
photonic crystal nanobeam cavities for coupling to diamond nanocrystals and
Nitrogen-Vacancy centers in a cavity QED system. Confocal
micro-photoluminescence analysis of the nanobeam cavities demonstrates quality
factors up to Q ~ 55,000, which is limited by the resolution of our
spectrometer. We also demonstrate coarse tuning of cavity resonances across the
600-700nm range by lithographically scaling the size of fabricated devices.
This is an order of magnitude improvement over previous SiNx cavities at this
important wavelength range
Initiation of hepatitis C virus infection is dependent on cholesterol and cooperativity between CD81 and scavenger receptor B type I.
In the past several years, a number of cellular proteins have been identified as candidate entry receptors for hepatitis C virus (HCV) by using surrogate models of HCV infection. Among these, the tetraspanin CD81 and scavenger receptor B type I (SR-BI), both of which localize to specialized plasma membrane domains enriched in cholesterol, have been suggested to be key players in HCV entry. In the current study, we used a recently developed in vitro HCV infection system to demonstrate that both CD81 and SR-BI are required for authentic HCV infection in vitro, that they function cooperatively to initiate HCV infection, and that CD81-mediated HCV entry is, in part, dependent on membrane cholesterol
Small aggregates can cause nitrite accumulation in one-stage partial nitritation and anammox
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