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Article
Application of neural network in the study of combustion rate of natural gas/diesel dual fuel engine
In order to predict and improve the performance of natural gas/diesel dual fuel engine (DFE), a combustion rate model based on forward neural network was built to study the combustion process of the DFE. The e...
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Article
Multi-robot behavior adaptation to local and global communication atmosphere in humans-robots interaction
Multi-robot behavior adaptation mechanism based on cooperative–neutral–competitive fuzzy-Q learning is proposed for coordinating local communication atmospheres in humans-robots interaction, in which the commu...
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Article
Emotion-Age-Gender-Nationality Based Intention Understanding in Human–Robot Interaction Using Two-Layer Fuzzy Support Vector Regression
An intention understanding model based on two-layer fuzzy support vector regression is proposed in human–robot interaction, where fuzzy c-means clustering is used to classify the input data, and intention unde...
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Chapter and Conference Paper
Speaker-Independent Speech Emotion Recognition Based on CNN-BLSTM and Multiple SVMs
Speaker-independent speech emotion recognition (SER) is a complex task because of the variations among different speakers, such as gender, age and other emotional irrelevant factors, which may lead to a tremen...
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Chapter and Conference Paper
Real-Time Motion Control of a Spark Robot Using the Robot Operating System and MATLAB
With the rapid development of science and technology, robots begin to penetrate into people’s daily life from the industrial field or other special fields, and the development of robotics technology is becomin...
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Article
Synthesis and characterization of one impurity in esomeprazole, an antiulcerative drug
During drug synthesis, control of impurities is very important to get high-qualified drugs. A number of studies have devoted to synthesize the impurities and study the structures to support the method of purif...
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Chapter and Conference Paper
Syllable Level Speech Emotion Recognition Based on Formant Attention
The performance of speech emotion recognition (SER) systems can be significantly compromised by the sentence structure of words being spoken. Since the relation between affective content and the lexical conten...
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Article
Identification of Moment of Inertia for PMSM Using Improved Modelreference Adaptive System
The moment of inertia (MOI) is one of the most important parameters of a permanent magnet synchronous motor. High-precision identification of the MOI is essential to ensure system performance. This paper expla...
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Chapter and Conference Paper
An Attention Detection System Based on Gaze Estimation Using Self-supervised Learning
With the rapid development of online education around world, it becomes difficult for teachers to evaluate the effect of learning during the online class. To solve this problem, an attention detection system b...
