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Data repairing aims at discovering and correcting erroneous data in databases. In this paper, we develop Web-ADARE, an end-to-end web-aided data repairing system, to provide a feasible way to involve the vast data sources on the Web in data repairing. Our main attention in developing Web-ADARE is paid on the interaction problem between web-aided repairing and rule-based repairing, in order to minimize the Web consultation cost while reaching predefined quality requirements. The same interaction problem also exists in crowd-based methods but this is not yet formally defined and addressed. We first prove in theory that the optimal interaction scheme is not feasible to be achieved, and then propose an algorithm to identify a scheme for efficient interaction by investigating the inconsistencies and the dependencies between values in the repairing process. Extensive experiments on three data collections demonstrate the high repairing precision and recall of Web-ADARE, and the efficiency of the generated interaction scheme over several baseline ones. [ABSTRACT FROM AUTHOR]

Online Social Networks (OSNs) have been used as the means for a variety of applications. For example, social networking platform has been used in employment system, e-Commerce and CRM system to improve the quality of recommendations with the assistance of social networks. In these applications, social influence acts as a significant role, affecting people's decision-making. However, the existing social influence evaluation methods do not fully consider the social contexts, i.e., the social relationships and the social trust between participants, and the preferences of participants, which have significant impact on social influence evaluation in OSNs. Thus, these existing methods cannot deliver accurate social influence evaluation results. In our paper, we propose a Trust-Oriented Social Influence evaluation method, called TOSI , with taking the social contexts into account. We conduct experiments onto two real social network datasets, i.e., Epinions and DBLP . The experimental results illustrate that our TOSI method greatly outperforms the state-of-the-art method SoCap in terms of effectiveness, efficiency and robustness. [ABSTRACT FROM AUTHOR]

The TiAlN-based composite coating was coated on TiCN-based cermets with different binder phase by arc ion plating. The effects of binder phase within cermets substrates on the microstructure, mechanical properties and wear behavior of the composite coating were investigated. The results show that the growth of the composite coating is affected by binder phase in the cermets substrates. With a higher content of Co binder in the cermets, the composite coating grows faster. Ni as a binder phase in the cermets is more favorable for the growth rate of the surface coating. The grain size of the coating on 10%Co-TiCN-based cermets is the finest and the hardness is the highest. The variation of binder phase in the cermets substrates leads to different adhesion strength of the composite coating. The adhesion strength of the composite coating on the 10%Co-TiCN-based cermets is the highest, which is because of the smallest differences in hardness and thermal expansion coefficient for this coating/substrate couple. The wear behavior of composite coating on 10%Co-TiCN-based substrate is dominated by abrasive wear while that on the other cermets with Ni binder or higher content of Co binder is a mixture form of diffusion wear, oxidation wear and abrasive wear. • Growth rate of surface coating is affected by the binder phase in cermets substrates. • More binder phase in cermets substrates can refine grains of the surface coating. • More binder phase in cermets substrates deteriorates the adhesion of surface coating. • Wear behavior of surface coating is affected by binder phase in cermets substrates. [ABSTRACT FROM AUTHOR]

Substrate materials have a significant influence on the coating properties, especially on the adhesion of coating to substrate. Therefore, the understanding of the substrate materials effect on deposited coatings will lead to a better performance of the coated cutting tools. In this investigation, the TiAlN-(TiAlN/CrAlSiN)-TiAlN multiple coatings have been prepared by arc ion plating technology on cermet, cemented carbide and high-speed steel substrates, respectively. The effects of substrate materials on microstructure, hardness, adhesion strength as well as tribological properties of the as-deposited coatings were investigated. The results show that the TiAlN-(TiAlN/CrAlSiN)-TiAlN multiple coatings on all substrates exhibit a single (200) preferred fcc-CrN structure with columnar grain morphology. With the finest grains of 16.2 nm and the strong solid solution strengthening effect, the coating deposited on the cermet substrate possesses the highest hardness. However, the TiAlN-(TiAlN/CrAlSiN)-TiAlN multiple coating obtained on the cemented carbide substrate has the highest adhesion of 95 N due to the slightly lower thermal expansion coefficient of the cemented carbide substrate than the inner TiAlN layer as well as the small hardness difference between the cemented carbide substrate and the coating. Owing to the low friction coefficient and high hardness, the TiAlN-(TiAlN/CrAlSiN)-TiAlN multiple coating prepared on the cemented carbide substrate exhibits the best wear resistance. Besides, the wear mechanism of the TiAlN-(TiAlN/CrAlSiN)-TiAlN multiple coatings is the combination of abrasive, oxidative and adhesive wear, which is little affected by the substrate materials. • TiAlN-(TiAlN/CrAlSiN)-TiAlN multiple coatings were first synthesized. • The hardness of the coating on cermet is higher than that on other substrates. • The adhesion of the coatings on different substrates is significantly different. • Substrate materials have little effect on the wear mechanism of the surface coatings. [ABSTRACT FROM AUTHOR]