In order to restrain the uncertainty of system parameters and the influence of external disturbances on the speed of DC motor, this paper adopts the H+ mixed-sensitivity algorithm to design a speed controller based on...
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Intelligent devices often produce time series data that suffer from significant data quality issues. While the utilization of data dependency in error detection and data repair has been somewhat beneficial, it remains...
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Petri nets have been closely related to multiagent systems (MAS) and used as a tool for modeling agents and their behavior for specification, verification, and validation purposes. Various models of agent activities, ...
Coal mine belt conveyors are commonly used equipment in coal mining enterprises which transport coal from the coal faces using belts. Currently, video image monitoring serves as the predominant approach to identify fo...
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Pressure-induced structural transformation of known compounds has become an effective routine to obtain new materials. The sulfur motifs that are present in compounds have a considerable effect on their crystal struct...
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Pressure-induced structural transformation of known compounds has become an effective routine to obtain new materials. The sulfur motifs that are present in compounds have a considerable effect on their crystal structures and electronic properties. Here, we focus on exploring the evolution of S motifs in the BaS3 compound under high pressure. A novel P3121−BaS3, consisting of an equivalent V-shape S3 unit and quasi-hexagon Ba ring, is identified through the combination of first-principles swarm-intelligence search and phonon softening calculations. The bond angle in the S3 unit decreases, accompanied by pressure-induced structural phase transition. P3121−BaS3 shows a semiconducting character, mainly originating from the contribution of S 3p−electron states. Along with the newly proposed BaS3 structure, the temperature effect on stability is estimated using the temperature-dependent effective potential method. For another S-rich BaS2, the disappearance of the S2 unit induced by pressure (>150GPa) is mainly responsible for structural instability.
It is quite common that a nonlinear partial differential equation (PDE) admits multiple distinct solutions and each solution may carry a unique physical meaning. One typical approach for finding multiple solutions is ...
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This paper reviews the adaptive sparse grid discontinuous Galerkin(aSG-DG)method for computing high dimensional partial differential equations(PDEs)and its software *** C++software package called AdaM-DG,implementing ...
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This paper reviews the adaptive sparse grid discontinuous Galerkin(aSG-DG)method for computing high dimensional partial differential equations(PDEs)and its software *** C++software package called AdaM-DG,implementing the aSG-DG method,is available on GitHub at https://***/JuntaoHuang/*** package is capable of treating a large class of high dimensional linear and nonlinear *** review the essential components of the algorithm and the functionality of the software,including the multiwavelets used,assembling of bilinear operators,fast matrix-vector product for data with hierarchical *** further demonstrate the performance of the package by reporting the numerical error and the CPU cost for several benchmark tests,including linear transport equations,wave equations,and Hamilton-Jacobi(HJ)equations.
The increasing popularity of crowdsourcing has resulted in the emergence of multiple crowdsourcing service providers (CSPs), such as Mechnical Turk and Crowdflower, which compete to attract crowd workers (CWs). CWs ca...
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The unbalanced distribution of category labels and the correlation between these labels tend to cause over-learning issues in deep learning models. In fine-grained sentiment analysis datasets, the correlation between ...
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To better understand the nature of the software developer community in Germany, an open data set of 2,837 responses collected through the Stack Overflow Developer Survey was analyzed. Cluster analysis identified four ...
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ISBN:
(纸本)9783031601248;9783031601255
To better understand the nature of the software developer community in Germany, an open data set of 2,837 responses collected through the Stack Overflow Developer Survey was analyzed. Cluster analysis identified four sub-groups that were characterized by significant differences in sociodemographic variables, programming experience and software development specialization: the web developer (25%), the junior developer (26%), the senior developer (39%), and the research developer (10%). Cluster characteristics were associated with differences in experienced community membership, frequency of Stack Overflow visits and participation in Q&A. Senior developers with the highest level of coding experience reported the overall strongest community engagement, while research developers visited Stack Overflow least often. A positive moderate relationship between community membership and community visits and community participation provided additional evidence for the importance of the sense of (virtual) community as a psychological driving factor of community engagement. Together, these findings can contribute to developing more targeted training and community-building measures.
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