Exact(1)
A number of studies have shown that the internal forces can be utilized to change the stiffness [79], improve the motion accuracy [32], increase the load-carrying capacity [19], and eliminate the backlash [34] of active overconstrained PMs, so the second method is that the driving forces/torques are distributed by utilizing the advantages of internal forces [19, 32, 34].
Similar(59)
Networks of classifiers can offer improved accuracy and scalability over single classifiers by utilizing distributed processing resources and analytics.
Recently, a new approach called Average TimeSynch (ATS) [13] is proposed to estimate the clock offset and skew by utilizing distributed low-pass filter.
Then, our distributed architecture is obtained by utilizing (6) to decompose the computation of (4) to each sensor, which is summarized in Fig. 1.
The dev platform lets developers design and build massively detailed environments — to offer what it bills as a new form of simulation on a massive scale — doing this by utilizing distributed cloud computing infrastructure and machine learning technology to run a swarm of hundreds of game engines so it can support a more expansive virtual world vs software running off of a single engine or server.
Genomic DNA was sequenced using the Illumina/Solexa GAIIx sequencing technology (as distributed by Montreal Biotech Inc., Quebec, Canada) utilizing two lanes per strain (one lane of single read and one lane of paired-end reads).
Our efforts to further develop zero emission distributed combustion are explored here by utilizing swirl to the flow.
The project also provides a more flexible integration and communication architecture by utilizing a distributed computing model along with ontology services.
To quantitatively interpret oxygen measurements with FluBO, we utilized an EYFP variant distributed by Clontech-Takara (details are described within the Methods section and the corresponding EYFP sequence is shown in Additional file 1).
Without loss of generality, the resource in our model refers to the amount of the transmission medium that can be distributed and utilized by different nodes.
The time varying nonlinearities of each node are modelled to be randomly switched between two different nonlinear functions by utilizing a Bernoulli distributed variable sequence specified by a randomly varying conditional probability distribution.
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