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.
This paper proposes several enhancements to the softPOSIT algorithm with applications to spacecraft pose estimation using a monocular camera. First, the proposed enhancements include a technique for reducing false matches as result of local minimum trapping. Second, this paper provides two strategies for iteration control parameter initialization by using the trace of the correspondence distance,...
One of decisive feature in computer system design is the assessment of instruction pipeline. To design it carefully with minimum complexity to achieve enhanced performance and optimum result could be a powerful method. In order to achieve pipeline throughput close to ideal, the penalties of different hazards must be reduced. Branches are also one of those decisive substances that degrade the efficiency...
The modeling of electromagnetic pulse coupling to a shielding device, which is connected with a shielded cable, is studied. The exciting fields of the shielded cable are solved by a full-wave commercial software. Thereafter, the current response of the device is simulated by the Agrawal's model and the BLT (Baum, Liu, Tesche) equation. It is shown that the simulated result is agreed well with that...
This paper discusses the use of Bag-of-Features and a local part model approach for bare hand dynamic hand gesture recognition from video. We used dense sampling to extract local 3D multiscale whole-part features. We adopted three dimensional histograms of a gradient orientation (3D HOG) descriptor to represent features. K-means++ method has applied to cluster the visual words. Dynamic hand gesture...
In this paper, we present a part model for human action recognition from video. We use 3D HOG descriptor and bag-of-feature to represent video. To overcome the unordered events of bag-of-feature approach, we propose a novel multiscale local part model to preserve temporal context. Our method builds upon several recent ideas including dense sampling, local spatial-temporal (ST) features, 3D HOG descriptor,...
In order to reduce danger and cost in physical chemical process training and testing, this paper proposed a chemical process simulation system based on distributed virtual reality technology. According to characters of an existing chemical engineering system and functions for simulation system to be designed, a framework for data-driven simulation was proposed, and some related key technologies, such...
This paper presents a two-level place names identification method based on N-shortest path and conditional random fields (CRFs) aiming at solving the low recall rate problem in Chinese place names identification. First, the rough segmentation method based on N-shortest path is used to improve the recall rate of Chinese place names identification at low level; Second, the result of rough segmentation...
Parallel programming based on multi-core processor is a new challenge to programmers. The execution of the same program may perform much different based on various architectures. Even the same architecture combined with different mapping strategies are still with distinct performance. The reason of this problem is that programmers feel hard to know the architectural details and utilize it in their...
A neural network-based Bayesian dynamic forecasting model is provided in this paper. Compared with the traditional Bayesian forecasting model, the given model can also has the virtues such as it does not need the placidity suppose which is necessary in the traditional time series forecast method and it can obtain more accurate estimate even with few datum depended on the subjective priori information...
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.