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In cloud computing, large amount of data can be effectively stored and managed. People could outsource the encrypted data using searchable encryption SE for data security and efficient retrieval. However, most existing SE schemes only support the single-user access, and multiuser searchable encryption is required in many enterprise applications. From the attribute-based encryption ABE, we found that the flexibility and usability of encryption schemes can be greatly improved by embedding attribute-based access policy in the ciphertext. In this paper, by using the idea of ABE, we propose a ciphertext-policy hidden vector encryption CPHVE scheme to support both encryption and search operations for multiple users. In the scheme, a keyword is encrypted with an attribute-based access policy, which can be searched when the users' attributes satisfy the policy. The security of CPHVE is also defined and proved in this paper. Moreover, the CPHVE scheme is based on standard complexity assumptions on bilinear groups of prime order, thus it is more efficient than the existing schemes. Copyright © 2014 John Wiley & Sons, Ltd.

In order to enhance operation safety of unit, at present, state monitoring of large-scale rotary machine has been universally applied. Failure diagnosis technology receives universal emphasis and it is continually developing from machine maintenance at fixed time to maintenance according to actual condition. With the development in communication and network technology, people are no longer satisfy with diagnosis technology of single machine, and they hope diagnosis technology can be share by all so as to solve more and more machine failure. So networking has become to be the inevitable trend for the development of diagnosis technology. Failure diagnosis and maintenance decision auxiliary system of large-scale turbine unit is one distributed network system towards the whole enterprises, it makes networking on 18 sets of large-scale tribune compressor unit of enterprises. System can not only make online monitoring and failure diagnosis on operation state of theses machines, but also it can provide the basic state and artificial monitoring information at fixed time, it combines with vibration data, process parameter and existing artificial periodic monitoring information together to realize periodic evaluation of machine at normal state and comprehensive failure diagnosis analysis at abnormal state, so it provides important base for the early failure discovery and maintenance decision of machine. It fundamentally changes the backward key unit inspection as well as maintenance management way and increases management level of equipment.

In the paper, the author mainly applies vibration signals of whirl machinery rotors to do spectral analysis and fault diagnosis, selects 8 spectral values of characteristic frequent sections as the eigenvectors of diagnosis, and applies deep neural networks to analyze eigenvectors of vibration, so as to improve precision of judging deep neutral networks and make neutral networks have rules to follow in weight and threshold selection.

Biological vision systems involve complex neural layers that can represent and process information. Moreover, they are typically far more efficient than human-made machine vision systems. To obtain a non-task-dependent image representation schema, it may be valuable to simulate the early phase of the biological neural vision mechanism. We designed a neural model to simulate the non-classical receptive field of the ganglion cell and its local feedback control circuit. We found that, beyond the pixel level, our model can represent images self-adaptively and regularly. Our experimental results revealed this method was able to represent images faithfully and with a low cost. In addition, it produced compact and abstract approximations of images, and facilitated subsequent image segmentation, figure-ground separation, feature detection, and integration. This representation schema performed well for extracting spatial relationships from different components of an image, so can be applied to formalize image semantics. This system can be applied to object recognition or image classification tasks in future.

One hundred and twenty-four cases of articulations zyqapophysiales discocation of the inferior thoracic vertebra were treated first with Tuina manipulation of rolling-kneading to relax the affected muscles, next with that of tenderness-plucking to relax the tender muscles and next with that of fixed-point oblique-pulling to restore and treat the injured soft tissues and finally with that of palm-pressing flatly to adjust the dislocation. The results showed that 94 cases were cured, 21 improved and 9 ineffective after three treatments. The total effective rate was 92.7%.