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The true-fake detection of Chinese liquors can be considered as a one-class classification problem. Using only positive sample in training process brings about difficulties in determining the optimal parameters of one-class SVM and its kernel. And one-class SVM optimized with conventional grid search method has a low recognition rate of positive test samples. Hence, we proposed a new idea for recognition,...
We proposed a novel bio-inspired olfactory neural network to perform data processing in our designed electronic nose (e-nose). This olfactory neural network mimics the main structures of the mammal animals' olfactory system. It contains olfactory sensing neurons, mitral cells and granule cells. The proposed method can directly use the raw data collected from sensors in the e-nose without any data...
High echo energy is important in sonar systems to increase measurement range. A sufficient condition is derived and obtained to achieve high echo energy for pulse position modulation excitation sequences. This paper addresses echo energy analysis under the premise that crosstalk between different sonar transducers can be avoided. Experiments validate the derived sufficient condition.
Ultrasonic crosstalk is one of the main causes of false distance measurements that reduce the work efficiency of sonar sensors in mobile robots. To enhance the real-time performance of sonar systems, chaotic pulse position-width modulation (CPPWM) sequences are proposed to construct short digital transmission sequences to trigger ultrasonic transducers. Thanks to their properties of sharp autocorrelation...
This paper addresses the problem of estimating the odor path which is most likely taken by the odor patch detected by the concentration sensor on a mobile robot moving in an indoor dynamic airflow environment. The odor path estimation is useful for plume tracing and odor source declaration. A novel algorithm for odor path likelihood mapping in the dynamic airflow environment is proposed. The algorithm...
An improved single odor/gas source searching approach using a mobile robot by combining image recognition in complex environments is presented. First, color image segmentation of prospective visual candidates is achieved using support vector machines (SVM). Second, the features of those candidates, such as color, shape and orientation (the posture of the object) are extracted. Third, the robot finds...
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