Squeeze-film gas bearing technology

Squeeze-film bearing is studied to develop a low-friction suspension for the output-axis gimbal of a single-degree-of-freedom gyroscope. Included are a review of pertinent literature, the theory of squeeze-film lubrication, and design elements

On asymptotic analysis of gaseous squeeze-film bearings

Asymptotic analysis for obtaining steady state solution of time dependent gas lubrication equation, of diffusion type, for gaseous squeeze film bearing

On Error Torques of Squeeze-film Cylindrical Journal Bearings

Error torques of squeeze film cylindrical journal bearing

Competitive pressures on income distribution in China

competition;income distribution

Competitive Pressure on China: Factor Rewards Migration

Our objective is to assess personal income under perfect competition, when factors are rewarded according to their productivities, and to contrast the ensuing distribution with the status quo.Competition will yield winners and losers, both in terms of factor claims and in terms of regions or provinces. Income differences will press people to migrate.To analyze this, we divide China into 30 input-output sectors and 27 provinces; we maximize domestic final demand, while preserving its proportions in each province, subject to material balances and factor constraints.The shadow prices to the constraints represent competitive commodity prices and factor rewards.Unskilled labor would stand to lose and, therefore, inequality would mount.The pressure on interprovincial migration would be enormous with 10 to 20% of the people on the road.The flipside is the great potential for improvement of the average standard of living.competition;income distribution;migration

State-of-the-art and gaps for deep learning on limited training data in remote sensing

Deep learning usually requires big data, with respect to both volume and variety. However, most remote sensing applications only have limited training data, of which a small subset is labeled. Herein, we review three state-of-the-art approaches in deep learning to combat this challenge. The first topic is transfer learning, in which some aspects of one domain, e.g., features, are transferred to another domain. The next is unsupervised learning, e.g., autoencoders, which operate on unlabeled data. The last is generative adversarial networks, which can generate realistic looking data that can fool the likes of both a deep learning network and human. The aim of this article is to raise awareness of this dilemma, to direct the reader to existing work and to highlight current gaps that need solving.Comment: arXiv admin note: text overlap with arXiv:1709.0030

Spherical squeeze-film hybrid bearing with small steady-state radial displacement

Spherical squeeze-film hybrid bearing with small steady-state radial displacement analysi

Reactively sputtered RuO2 diffusion barriers

The thermal stability of reactively sputtered RuO2 films is investigated from the point of view of their application as diffusion barriers in silicon contact metallizations with an Al overlayer. Backscattering spectra of Si/RuO2/Al samples and electrical measurements on shallow junction diodes with Si/TiSi2.3/RuO2/Al contacts both show that RuO2 films are effective diffusion barriers between Al and Si for 30-min annealing at temperatures as high as 600°C

The solution of special squeeze film gas bearing problems by an improved numerical technique

Computer program for solving squeeze film gas bearing problem