Application of Tencel on Raschel Blanket

For excellent properties,Tencel is more and more popular in textile industry.Four kinds of raschel knitted blanket test samples were woven with the base-weave polyester yarns and velvet yarns,respectively including pure Tencel,Tencel/polyacrylonitrile,pure polyester,and pure polyacrylonitrile.The style of samples was evaluated with the ranking evaluation method,and its warmth retention,compressibility,antistatic properties and so on were tested.Fuzzy comprehensive was applied to the evaluation of comprehensiveness.The result shows that Tencel fiber can improve the appearance style of raschel blanket,and alter the thermal-wet comfort properties and antistatic properties.And the blanket fabric contained Tencel is durable and not dilapidated easily.But the raschel blanket used pure Tencel velvet yarn has poor properties.Compared with traditional raschel blanket,the blanket blended with Tencel/polyacrylonitrile improves a certain degree on comprehensive properties.So Tencel has certain value in acrylic knitted blanket.

A personalized trustworthy service selection method

A personalized trustworthy service selection method is proposed to fully express the features of trust, emphasize the importance of user preference and improve the trustworthiness of service selection. The trustworthiness of web service is defined as customized multi-dimensional trust metrics and the user preference is embodied in the weight of each trust metric. A service selection method combining AHP （analytic hierarchy process） and PROMETHEE （preference ranking organization method for enrichment evaluations） is proposed. AHP is used to determine the weights of trust metrics according to users＇ preferences. Hierarchy and pairwise comparison matrices are constructed. The weights of trust metrics are derived from the highest eigenvalue and eigenvector of the matrix. to obtain the final rank of candidate services. The preference functions are defined according to the inherent characteristics of the trust metrics and net outranking flows are calculated. Experimental results show that the proposed method can effectively express users＇ personalized preferences for trust metrics, and the trustworthiness of service ranking and selection is efficiently improved.

Privacy-Aware Examination Results Ranking for the Balance Between Teachers and Mothers

As the main parent and guardian, mothers are often concerned with the study performance of their children.More specifically, most mothers are eager to know the concrete examination scores of their children. However,with the continuous progress of modern education systems, most schools or teachers have now been forbidden to release sensitive student examination scores to the public due to privacy concerns, which has made it infeasible for mothers to know the real study level or examination performance of their children. Therefore, a conflict has come to exist between teachers and mothers, which harms the general growing up of students in their study. In view of this challenge, we propose a Privacy-aware Examination Results Ranking(PERR) method to attempt at balancing teachers’ privacy disclosure concerns and the mothers’ concerns over their children’s examination performance.By drawing on a relevant case study, we prove the effectiveness of the proposed PERR method in evaluating and ranking students according to their examination scores while at the same time securing sensitive student information.