scholarly journals Fast identification of the pull-in voltage of a nano/micro-electromechanical system

Author(s):  
Ji-Huan He ◽  
Na Qie ◽  
Chun-Hui He ◽  
Khaled Gepreel

The pull-in voltage is crucial in designing an optimal nano/micro-electromechanical system (N/MEMS). It is vital to have a simple formulation to calculate the pull-in voltage with relatively high accuracy. Two simple and effective methods are suggested for this purpose; one is an ancient Chinese algorithm and the other is an extension of He’s frequency formulation.

Author(s):  
Dan Tian ◽  
Chun-Hui He

Pull-in instability occurs in a micro-electromechanical system, and it greatly hinders its normal operation. A fractal modification is suggested to make the system stable in all operation period. A fractal model is established using a fractal derivative, and the results show that by suitable fabrication of the micro-electromechanical system device, the pull-in instability can be converted into a novel state of pull-in stability.


2018 ◽  
Vol 45 (5) ◽  
pp. 1054-1072 ◽  
Author(s):  
Jessica F. SCHWAB ◽  
Casey LEW-WILLIAMS ◽  
Adele E. GOLDBERG

AbstractChildren tend to regularize their productions when exposed to artificial languages, an advantageous response to unpredictable variation. But generalizations in natural languages are typically conditioned by factors that children ultimately learn. In two experiments, adult and six-year-old learners witnessed two novel classifiers, probabilistically conditioned by semantics. Whereas adults displayed high accuracy in their productions – applying the semantic criteria to familiar and novel items – children were oblivious to the semantic conditioning. Instead, children regularized their productions, over-relying on only one classifier. However, in a two-alternative forced-choice task, children's performance revealed greater respect for the system's complexity: they selected both classifiers equally, without bias toward one or the other, and displayed better accuracy on familiar items. Given that natural languages are conditioned by multiple factors that children successfully learn, we suggest that their tendency to simplify in production stems from retrieval difficulty when a complex system has not yet been fully learned.


2020 ◽  
Vol 12 (12) ◽  
pp. 14095-14104 ◽  
Author(s):  
Kaiping Yuan ◽  
Cheng-Yu Wang ◽  
Li-Yuan Zhu ◽  
Qi Cao ◽  
Jia-He Yang ◽  
...  

2019 ◽  
Vol 29 (11) ◽  
pp. 115007
Author(s):  
Jinlong Song ◽  
Renxin Wang ◽  
Guojun Zhang ◽  
Zhenzhen Shang ◽  
Lansheng Zhang ◽  
...  

2012 ◽  
Vol 457-458 ◽  
pp. 635-640
Author(s):  
Fan Chen ◽  
Zhi Yong Feng ◽  
Geng Zhao

It is urgent that detect the duplication in large scale text in the Web. An arithmetic based on language rhythm for text duplication detection is proposed here. Get the nature rhythm marked by punctuations in text and build the rhythm compare matrix to complete the publication detection for each paragraph. This arithmetic is different with the other one which is based on words analysis. And it has a high accuracy and a low complicacy.


2010 ◽  
Vol 447-448 ◽  
pp. 826-830 ◽  
Author(s):  
Tomohisa Tanaka ◽  
Masahiro Komori ◽  
Jiang Zhu ◽  
Yoshio Saito

Parallel mechanism has many advantages, such as high stiffness, high accuracy, high degree of freedom (DOF), etc. These fine features are suitable for work table of machine tools for production of recent complicated designs. In this study, six axes linear-actuated parallel mechanism was chosen as the basic design for work table. First, geometrical parameters of the table were designed to satisfy the required movable range with minimum cutting load. Then, the work table was actually constructed and its performance was evaluated. From positioning accuracy measurement, it was found that the table is suitable to be used for machining of complicated products. On the other hand, from actual cutting tests of primitive shapes using chemical wood and measurement of the machined shapes, potential of the table for real cutting application was confirmed.


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