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Semisupervised classification method can improve classification accuracy using information of large non-labelled samples, whereas it bears a high cost to obtain labelled samples in hyperspectral image classification. Usual semisupervised classification methods need directly to estimate the classification of every sample in test group. A semisupervised classification method based on label mean is proposed...
Electrocardiogram (ECG) is a fundamental and important noninvasive cardiac signal. In current decade, it has been popular to acquire and analyze ECG by wearable devices with main purposes of long-term monitoring and potential cardiac event prediction. In this study, we aimed at developing a real time and accurate R peak detection method which may be useful for ECG analysis in the wearable devices...
Due to increasing global demand for natural rubber products, rubber (Hevea brasiliensis) plantation expansion has occurred in many regions where it was originally considered unsuitable. However, accurate maps of rubber plantations are not available, which substantially constrain our understanding of the environmental and socio-economic impacts of rubber plantation expansion. In this study, the rubber...
As a powerful tool in machine learning, Support Vector Machine(SVM) also suffers from expensive computational cost in the training phase due to the large number of original training samples. To overcome this problem, this paper presents a new method based on a two steps of sample reduction to reduce training samples. This algorithm includes cluster detection by Fuzzy C-Means Clustering (FCM) Cluster...
This paper presents a novel experimental design for greatly improving the calibration accuracy of the acceleration-insensitive and the acceleration-sensitive biases of the dynamically tuned gyroscopes. A novel calibration procedure based on D-optimality criteria and real code genetic algorithm (RCGA) is established. In order to reduce experiment cost, the D-optimality criteria is constructed with...
In order to meet the requirements of next generation chip manufacturing equipments, a high acceleration and high precision air bearing stage is designed and manufactured in this paper. In the stage, friction is very low, which eliminates the effects of nonlinear friction on the stage's positioning and acceleration performance. At the same time, a controller consisting of current loop, velocity loop...
This paper presents a fuzzy PI+D controller design for a direct drive motion control system actuated by permanent magnet linear synchronous motor (PMLSM). The employed Fuzzy PI+D is derived from the conventional continuous-time linear PI+D controller. The resulting controller is a discrete-time fuzzy version of the conventional PI+D controller. The proportional, integral and derivative gains are nonlinear...
The problem of multi-robot cooperative localization based on relative bearings is researched in this paper. Relative bearings of different robots are fused with motions to improve the localization accuracy of robots. We analyse the situations about relative positions of the robots and their motion trajectories. Some relative positions and motion trajectories of the robots easily lead to not-converged...
This paper studies hybrid dynamical evolutionary algorithm in the context of classification rule discovery. Nature inspired search algorithms such as genetic algorithms, Ant colonies and particle swarm optimization have been previously studied on data mining tasks, in particular, classification rule discovery. We extended this work by applying a hybrid algorithm which combines dynamical evolutionary...
In wireless sensor network, the sensors collect data about natural phenomenon and transmit them to a server in real-time. Many researches mainly focus on processing continuous queries as approximate forms. However, these approaches are difficult to apply to such environmental applications which require storing the correct data. In this paper, we introduce two insertion methods, called TSI (time-segment...
As an experimental tool for analyzing movement of chaos, we intend to introduce the correlation dimension for analyzing vibration signals of rotor system in this paper. For noise corruption existing in field-measured vibration signal, morphological filter is also introduced for de-noising the vibration signal. The analysis and comparison between the correlation dimensions of the noised and de-noised...
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