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Automatically assigning functions for unknown proteins is a key task in computational biology. Proteins in nature have multiple classes according to the functions they perform. Many efforts have been made to cast the protein function prediction into a multi-label learning problem. This paper proposes a novel Cluster Tree based Multi-label Learning algorithm (CTML) for protein function prediction....
The output waveform distorts seriously at low modulation ratio, and there are not a paper analyze it overall yet. This paper gives a research on the problem from some facts, the narrow pulse, the commutation delay and tube voltage drop. The time of commutation delay varies as the direction of output current changes, equivalent to the addition or reduction of the vectors' operation time, influencing...
Symmetrical components method was adopted to study the oscillation of induction motor driven by thyristors. This was the simplest discontinuous supply mode and excluded the influence of inductance and capacitance on the inverter side. The transient process and variation of speed during phase-exchange period were analyzed when the motor was supplied by two and three phase voltage, and the space vector...
The high differential voltage in commutation under transitional space vector modulation strategy is the cause which results in large switching loss of matrix converter. This paper presents a novel method which rearranges the switching sequence according to the magnitude of input voltages, based on the analysis and calculation of switching loss. Combined with voltage commutation strategy, the new modulation...
We present a new surface simplification algorithm. The algorithm is based on iterative edge contracting, and exploits a new method to measure the cost of collapse which takes the length of contracting edge and the rotation of the normal vector to the related triangle into account. In addition, the proposed algorithm adopts the multiple-choice approach to find the simplification sequence, which leads...
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