The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Traditional data processing methods for electronic noses (e-noses) need to use the whole response curves (including rise, steady and recovery phases) of sensor array, which leads to a long sampling time. The traditional methods also perform many steps such as signal pre-processing, feature generation/reduction, and classification, which increase the difficulty of selecting a suitable method for each...
We designed an electronic nose to classify different Chinese liquors. Kernel entropy component analysis (KECA) was applied to reduce the dimensionality of data sets. In order to avoid the blindness of parameter setting, particle swarm optimization (PSO) algorithm was employed to optimize parameters in KECA. At last, we adopted extreme learning machine (ELM) as a classifier to classify eight kinds...
The rehabilitation of stroke patients has been paid much attention in the world, and it will significantly improve the efficiency by introducing the robot technology into the rehabilitation training. According to the mechanical structure of the robot, the functional requirements and safety requirements of the rehabilitation training are proposed in this paper. So this paper presents a new control...
System identification combined with free-running model tests or full-scale trials is a kind of effective methods to determine the hydrodynamic derivatives in the mathematical models of ship manoeuvring motion. On-line support vector machines is proposed to identify ship manoeuvring motion model and ship motion first-order response model based on free-running model tests and full-scale trials, respectively...
A problem which must be considered is the number of eigenvalues reserved, when PCA (principal component analysis) is used to deal with dimension reduction. In this paper, two eigenvalue extraction methods based on PCA algorithm for face recognition are proposed by using Kaiser criterion and eigenvalue curve. The Kaiser criterion method is to discard eigenvalues which are less than one. The eigenvalue...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.