The Internet of Things (IoT)–enabled healthcare environment irregularly requires the resources from the Cloud to handle massive amounts of data, which impacts the response times of the Cloud. A typical healthcare app...
详细信息
Over the last few years, computer models have become valuable tools for the understanding of complex biological phenomena, such as the electric propagation on cardiac tissue. We have developed a Heart Simulator that m...
详细信息
In this paper, we demonstrate a new dataflow platform of DFC, which can handle the successive dataflow computing passes with tagged data. By implementing the matrix multiplication in DFC, we show that DFC can exploit ...
详细信息
An estimate of a generalization error bound of the improved support vector regression(SVR)is provided based on our previous *** boundedness of the error of the improved SVR is proved when the algorithm is applied to t...
详细信息
An estimate of a generalization error bound of the improved support vector regression(SVR)is provided based on our previous *** boundedness of the error of the improved SVR is proved when the algorithm is applied to the function approximation.
In numerical simulations of fluid-dynamics problems, solution-adaptive methods have proven to be very powerful. The implementation of the modified Shepard’s interpolation to the structured grids used in CFD is sugges...
high-entropy alloys, a new class of metallic materials, exhibit excellent mechanical properties at high temperatures. In spite of the worldwide interest, the underlying mechanisms for temperature dependence of mechani...
详细信息
high-entropy alloys, a new class of metallic materials, exhibit excellent mechanical properties at high temperatures. In spite of the worldwide interest, the underlying mechanisms for temperature dependence of mechanical properties of these alloys remain poorly understood. Here, we systemically investigate the mechanical behaviors and properties of Al_(1.2)CrFeCoNi(comprising a body-centered cubic phase) and Al_(0.3)CrFeCoNi(comprising a face-centered cubic phase) single-crystal micropillars with three orientations([100], [110], and [111]) at temperatures varying from 300 to 675 K by using in situ compression of micropillars inside a scanning electron microscope. The results show that the yield stresses of Al_(1.2)CrFeCoNi micropillars are insensitive to temperature changes, and their flow stresses and work hardening rates increase slightly with increasing temperature from 300 to550 K, which differs from the typical temperature dependence of yield/flow stresses in metals and alloys. In contrast,Al_(0.3)CrFeCoNi micropillars exhibit typical thermal softening. Furthermore, it is found that the Al_(1.2)CrFeCoNi micropillars exhibit a transition from homogenous deformation to localized deformation at a critical temperature, while the Al_(0.3)CrFeCoNi micropillars always maintain a well-distributed and fine slip deformation. Detailed transmission electron microscopy analyses reveal that dynamic recrystallization(involving dislocation tangles, and formation of dislocation cell structures and sub-grains)plays a key role in the observed temperature insensitivity of the yield stress and increasing flow stress(and work hardening rate)with increasing temperature in the Al_(1.2)CrFeCoNi micropillars, and that thermally activated dislocation slip leads to thermal softening of the Al_(0.3)CrFeCoNi micropillars. The differences in deformation modes and temperature dependence of the mechanical properties between Al_(1.2)CrFeCoNi and Al_(0.3)CrFeCoNi essentially originate from the d
The planted motif search problem is a classical problem in bioinformatics that seeks to identify meaningful patterns in biological sequences. As an NP-complete problem, current algorithms focus on improving the averag...
详细信息
The number of granted patents is rapidly growing because of strong business competition. For decision-makers in enterprises, it is necessary to understand the patent evolutions as soon as possible. Thus, how to discov...
详细信息
ISBN:
(纸本)9781943436040
The number of granted patents is rapidly growing because of strong business competition. For decision-makers in enterprises, it is necessary to understand the patent evolutions as soon as possible. Thus, how to discover the patent evolutions from patent databases and generate a vivid presentation on them are becoming important. In this study, a patent relationship discovery method was employed to organize the topics of patents in temporal order. A new multi-document summarization method based on graph algorithm was proposed to conduct a summarization analysis for automatically extracting key-phrases from several granted patent documents. The proposed methodology was evaluated using the dataset Wireless Communication Network (encoded with H04W) from granted patents under section G (physics) of United States Patent and Trademark Office (USPTO). The experimental results show that the proposed methodology can obtain more effective results than other methods for extracting keywords and helping users discovering critical techniques. Copyright ISCA, CAINE 2016.
暂无评论