Search

Purpose – Fabric defects detection is vital in the automation of textile industry. The purpose of this paper is to develop and implement a new fabric defects detection method based on adaptive wavelet. Design/methodology/approach – Fabric defects can be regarded as the abrupt features of textile images with uniform background textures. Wavelets have compact support and can represent these textures. When there is an abrupt feature existed, the response is totally different with the response of the background textures, so wavelets can detect these abrupt features. This method designs the appropriate wavelet bases for different fabric images adaptively. The defects can be detected accurately. Findings – The proposed method achieves accurate detection of fabric defects. The experimental results suggest that the approach is effective. Originality/value – This paper develops an appropriate method to design wavelet filter coefficients for detecting fabric defects, which is called adaptive wavelet. And it is helpful to realize the automation of textile industry.

Along with the development of computer and network, various universities basically have established the international trade course of the foreign trade practice simulation laboratory, this paper explains the SimTrade trade simulation software architecture model and content structure, analyzes its teaching practice in a realistic simulation environment, economic and trade professional training applied on the edge, and analyzed its disadvantages and application in the design of software of the problem.

Comparative genomic hybridization (CGH) allows rapid screening for DNA copy number gains and losses across the entire genome. CGH analyses have revealed a number of common aberrations and characteristics associated with specific tumor cells or pathogeneses. Recurrent aberrations suggest that tumor-related gene(s) may be located in such regions. Furthermore, some specific aberrations may serve as novel diagnostic features. Quantitative chromosomal analyses based on CGH have also provided stimulating information associated with chromosomal instability, genetic pathways, telomerase activity status, and DNA ploidy and have yielded valuable insights into tumor pathology. This review focuses on scientific advances facilitated by this technique.

A simulation experiment system is required presently, for the space flight experiment of X-ray pulsar based navigation is very costly. To solve the crucial issues of the timing stability and the profile precision in existing simulation techniques of pulsar signal, a new simulation technique which utilizes visible light is proposed. The simulation experiment system is set up based on the proposed technique. And some experiments are carried out to test the proposed technique. The results demonstrate that the proposed technique can be used to simulate any of known pulsars. The timing stability of simulated X-ray pulsars is raised from 10-4 to 10-9. And the accuracy of pulsar profile simulation is noticeably improved. Within the X-ray band 1-10 keV, when the observation time reaches 1200 s, and the area of the X-ray detector is 1 m2, the Pearson correlation coefficient of pulsar's observation profile with the standard template profile arrives at 0.993. And the simulation experiment system can be realized with high flexibility and low cost. On the basis of the simulation experiment system, the signal characteristic of X-ray pulsar can be investigated. On the other hand, the performances of X-ray pulsar signal processing algorithms and navigation algorithms can be surveyed in detail.