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Chapter and Conference Paper
NOx Emission Characteristics in a DesiNOx Gned Premixed Burner
Nitrogen oxides (NOx) formed in gas instantaneous water heater combustion systems is a significant pollutant source in the domestic environment. Advances in the science of reactions, mathematical modeling, and...
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Article
Open AccessStructure Evolution Based Optimization Algorithm for Low Pass IIR Digital Filter Design
Digital filters are generally designed by identifying the transfer functions. Most researches are focused on the goal of approaching the desired frequency response, and take less additional consideration of st...
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Article
A novel evolutionary method of structure-diversified digital filter design and its experimental study
Digital filters are now key components in many modern digital systems. This paper proposed a novel evolutionary method to design structure-diversified digital filters. On the investigation of the existing evol...
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Article
Structure evolution-based design for low-pass IIR digital filters with the sharp transition band and the linear phase passband
Digital filters are generally designed by identifying the transfer functions. Most researches are focused on the goal of approaching the desired frequency response and take less additional consideration of str...
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Article
A structure evolution-based design for stable IIR digital filters using AMECoDEs algorithm
This paper proposes a subsystem-based structure evolution algorithm for stable IIR digital filter design. The method designs the IIR digital filter through optimizing the filter structure. A filter structure i...
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Article
Motion planning for redundant robotic manipulators using a novel multi-group particle swarm optimization
Metaheuristic optimization algorithms are widely used in motion planning of redundant robotic manipulators. Existing methods may converge to a local minimum. In this paper, a new multi-group particle swarm opt...
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Article
A motion recognition model for upper-limb rehabilitation exercises
In recent years, autonomous rehabilitation training systems with no or reduced supervision have attracted much research attentions. It is essential to automatically record and recognize motions so as to realiz...