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This data set is a selected list of publications on data visualization on large high-resolution display. We conducted a systematic search in six major scientific databases in computer science (Springer, Wiley Online Library, ScienceDirect, ACM digital library, IEEE Xplore, EBSCO host between November 23 and December 1, 2019) using 23 search queries capturing the different terms used to describe a wall-sized display (e.g. “visualization wall”, “tiled display”, etc.).
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This work presents a comprehensive study of the performance of Sezawa surface acoustic wave (SAW) devices in SweGaN QuanFINE® ultrathin GaN/SiC platform, reaching frequencies above 14 GHz for the first time. Sezawa mode frequency scaling is achieved due to the elimination of the thick buffer layer typically present in epitaxial GaN technology. Finite element analysis (FEA) is first performed to find the range of frequencies over which the Sezawa mode is supported in the grown structure.
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This dataset is used to design patent and many machines can be designed using this dataset.
This is a very important dataset to do breakthrough. One of the secrets behind invention is revealed in these datasets.
Part of this design, with manually done tabulated calculations were submitted as the proposal design (for innovation challenge) proposed by the author, in the small concept paper to Ministry of Railways, Govt. of India in the year 2017.
As the Excel files(using LibreOffice) are given, so no paper is written is for it.
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1900 Views
the data of Gaussian Process Regression Based Traffic Prediction and Rate Coordination for Service Chain Congestion Optimization
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Cycling data of shared bike users
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<p>cnki dataset</p>
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117 Views
Data of the paper "Goal Orientation in Music Composition and Other Social Behaviors Leading to the Common Quantitative Law".
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94 Views
Microrobot swarms have powerful functions and reconfigurable collective behaviors, which enable them as a possible way to completely solve the low execution efficiency and poor practicability of a single microrobot. However, some general deficiencies hinder the advancement of research in the application of microrobot swarms. For example, the limited number of individuals and the tiny spatial size make the current microrobot swarms too insignificant to meet practical needs. To
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