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.
The problem of the wind turbine gearbox fault diagnosis was investigated by employing the support vector machine (SVM), which is optimized by the improved fruit fly intelligent algorithm with decreasing steps. First of all, the fault characteristic value extracted by Hilbert transform envelope is presented. Secondly, the general SVM solution to the wind turbine gearbox fault diagnosis problem is presented,...
Precise fault diagnosis of the pitch system in wind turbines is essential and is of practical significance for evaluating it by the usage of the SCADA (Supervisory Control And Data Acquisition) system. Firstly, the fault mechanism of the pitch system is investigated, including the source classification of the faults, and their direct connections with the SCADA data. Secondly, state feature extraction...
Face alignment is one of the most popular research areas in computer vision. It can be used in many fields, such as foundation of 3D-model of a face, face swap, face recognition. But most methods proposed were based on single images. In this paper, several strategies are proposed to enhance the performance of face alignment in videos. Through these strategies, three improvements have been achieved,...
Nowadays, the methods and tools of the 3D technology and human body modeling are developed rapidly, learning and analyzing 3D body scans will accelerate the development of 3D modeling. In this research, a novel algorithm using intersection views is proposed for retrieving 3D body scans. An Asian Female Body Scan (AFBS) database is established by analyzing various 3D body scan data at first, and then,...
Key frame selection is important to dense 3D reconstruction, especially for unordered image sets. A novel method for key frame selection from unordered image sets is proposed based Distance Depedent Chinese Restaurant Process (DDCRP). First, a bag-of-features word package is constructed to describe each image in a document-like manner, which can be dealt with by the DDCRP model. Second, the overlapping...
Nowadays, 3D scanning, 3D modeling and 3D printing technologies are more and more popular, the number and size of 3D model dataset is growing dramatically. Since shape distribution based methods are easy to compute and invariant to geometric transformation, finding more useful features to refine the retrieval accuracy of shape distribution based methods is a meaningful work. In this paper, a novel...
Assessing mental workload (MWL) in real time is crucial for preventing the accidents caused by cognitive overload or inattention of human operators in safety-critical human-machine (HM) systems. Since continuous-time psychophysiological signals reflect the mental stress of humans, classifiers designed by using those signals can be utilized to assess MWL effectively. However, the noise contained in...
Detection of wideband communication signals is critical for cognitive radio (CR) as it enables secondary users to dynamically access the unoccupied bands. However, accurate and fast spectrum sensing is still a challenge in low signal to noise ratio (SNR) environment. To encounter this problem, a feature detector based on compressed sensing (CS) and wavelet transform (WT) (CS-WT feature detector) is...
Category hierarchies are commonly used to compactly represent large numbers of categories and reduce the complexity of the classification problem. In this paper we introduce a novel and extended application of category hierarchies which is a powerful novel framework developed to construct dynamic category hierarchies and automatically discover novel visual categories. The dynamic is a characteristic...
Virtualization has been widely adopted by lots of business companies. It is now becoming an effective way to manage massive hardware resources in flexible scales. While power and hardware cost can be significantly saved through virtualization, the fault detection of system becomes more difficult due to the increasing scalability and complexity in a virtualized environment. In this paper, a fault detection...
To detect and localize objects is an indispensable step for many computer vision tasks. Most of the state-of-the-art methods of object detection and localization are category-dependent. These methods can achieve a significant performance. However, they are useless for detecting and localizing objects belonging to an unknown category when applying them to an unknown environment. In this paper, a method...
An improved pictorial structure method (PS) is presented in this paper for structure detecting and matching in microscopic images of the micro structure fabricated using micro-fabrication technology. The obtained structure information of the micro objects is important for the following 3D visual calculation process. Although PS method can extract and match features successfully by evaluating the appearance...
In this paper, a novel local invariant model based on scale invariant feature transform (SIFT) features is presented to accurately obtain and locate the local features of an image. After the local features of each image in the training set are extracted by the SIFT, we eliminate the unsteady factors in term of statistical results of all the SIFT features to establish the local invariant model. The...
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.