The supramolecular polypseudorotaxane (3) with π-conjugated polyazomethine is directly
synthesized by the polycondensation of two simple inclusion complexes of β-cyclodextrin/o-tolidine (1)
and β-cyclodextrin/p-phthaldehyde (2) and is comprehensively characterized by NMR, FTIR, circular
dichroism spectra, powder X-ray diffraction, thermogravimetric (TG) and differential thermal analysis
(DTA), scanning electron microscopy (SEM), and scanning tunneling microscopy (STM) both in solution
and in the solid state. The results obtained have revealed linear microstructure of polypseudorotaxane
3 and different photophysical behavior as compared with the π-conjugated polyazomethine backbone (4).
The present investigations prove a simple method for preparing supramolecular polypseudorotaxane by
different complexes, which possess the potential to serve as molecular devices/machines and optical
materials.
As information and processes are migrating to the cloud, Cloud Computing is drastically changing IT professionals’ working environment. Cloud Computing solves many problems of conventional computing. However, the new technology has also created new challenges such as data security, data ownership and trans-code data storage. We discussed about Cloud computing security issues, mechanism, challenges that Cloud service providers and consumers face during Cloud engineering. Based on concerning of security issues and challenges, we proposed several encryption algorithms to make cloud data secure and invulnerable. We made comparisons among DES, AES, RSA and ECC algorithms to find combinatorial optimization solutions, which fit Cloud environment well for making cloud data secure and not to be hacked by attackers.
A nonlinear correlative time series prediction method is presented in this paper.It is based on the mutual information of time series and orthogonal polynomial basis neural network. Inputs of network are selected by mutual information, and orthogonal polynomial basis is used as active function.The network is trained by an error iterative learning algorithm.This proposed method for nonlinear time series is tested using two well known time series prediction problems:Gas furnace data time series and Mackey-Glass time series.
This paper presents a novel measurement system for the on-machine estimation of the profiles of a linear slide in the presence of three motion errors, i.e. straightness, yawing and rolling. The system consists of eight displacement sensors, a mounting stage and a data acquisition system. The Fourier Eight Sensor (F8S) method is employed for the error separation with software programs written in MATLAB codes. A prototype is designed, built and fitted to an axis of the precision slide. Experiments are performed to test the repeatability of the profile results under three different slide speeds. Results confirm that the proposed measurement system is capable of determining the profiles with good repeatability in the presence of straightness, yaw and roll errors of the slide.
In this paper, the properties of urban river water quality model’s solutions have been discussed by comparison system, and the result is that the model has nonnegative solutions when all the parameters of model are positive.
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