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.
Document image distortion often appears when captured by the camera; this may induce recognition mistakes by OCR. In this paper, a robust and fast dewarping method of document images is proposed. Compared with traditional method, the computation of the correction baseline and the distance for vertical displace in this method is independent of the document's content, so it can guarantee the precision...
Most video processing applications require object tracking as it is the base operation for real-time implementations such as surveillance, monitoring and video compression. Therefore, accurate tracking of an object under varying scene conditions is crucial for robustness. It is well known that illumination variations on the observed scene and target are an obstacle against robust object tracking causing...
This paper proposes a method for the design of adaptive scalar quantizer based on the source statistics. Adaptivity is useful in applications where the statistics of the source are either not known a priori or will change over time. The proposed method first determines two quantizer cells and the corresponding output levels such that the distortion is minimized over all possible two-level quantizers...
In this paper, we propose a novel localization algorithm in Wireless Sensor Network. The proposed method is a kind of range-free localization algorithm which only uses the proximity information between sensor nodes. In the proposed method, a robust weighted algorithm is presented to calculate the average hop distances between sensor nodes and anchor nodes. The proposed method is applied to an isotropic...
This paper deals with a sliding mode impedance control (SMIC) of end-effector of robot manipulator using a tracking control scheme and a real-time artificial intelligence algorithm based on a radial basis function neural networks(RBFNNs). To real-time estimate the design parameters of desired impedance model such as desired inertia, damping, and stiffness desired impedance, SMIC(sliding mode impedance...
Simultaneous operation of multiple UAVs enables to enhance the mission accomplishment efficiency. In order to achieve this, easily scalable control algorithms are required, and swarm intelligence having such characteristics as flexibility, robustness, decentralized control, and self-organization based on behavioral model comes into the spotlight as a practical alternative. Recently, evolutionary robotics...
We propose a fragment based algorithm for efficient target tracking under significant scale variation and partial occlusion. In contrast, none of the previous multiple part or fragment based algorithms are both scale adaptive and robust to partial occlusion. In our algorithm, the target is divided into a number of overlapping image fragments. Their color histograms are compared with those of candidate...
This paper proposes Taguchi's method for design of experiments to test market splitting algorithm of an electric power exchange. Such a mechanism is required because price-volume pairs of a trader are usually bound by confidentiality requirement and hence not available as test data. We also propose a novel and simple market splitting heuristic considering congestion management problem in a meshed...
It is now well understood that l1 minimization algorithm is able to recover sparse signals from incomplete measurements and sharp recoverable sparsity thresholds have also been obtained for the l1 minimization algorithm. In this paper, we investigate a new iterative reweighted l1 minimization algorithm and showed that the new algorithm can increase the sparsity recovery threshold of l1 minimization...
Recently, Blind Source Separate (BSS) technique has been extended to digital watermarking field. Slowly Feature Analysis (SFA)-a kind of BSS technique-is a new unsupervised learning algorithm to learn nonlinear functions that extract slowly varying signals out of the input data. It expediently can be used to extract image feature and separate the mixed signals. Making use of the advantages of SFA,...
The single current regulator algorithm has been proven robust for flux weakening control of surface-mount PM (SPM) machines with active control of d-axis current and a fixed value of q-axis voltage applied. This paper proposes a new method to optimize the q-axis voltage adaptive to variable speeds and torque based on the single current regulator algorithm for the deep flux weakening control of a 50...
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.