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.
An algorithm based on extended Kalman filter applied to the sensorless PMSM drives to estimate rotor position and speed are described in this paper. The EKF is an optimal recursive estimation algorithm for estimating the states of dynamic nonlinear systems. The system simulation model is established in MATLAB/Simulink. And the sensorless PMSM drive system is implemented on the DSP employed field oriented...
A large body of work has been devoted to address corporate-scale privacy concerns related to social networks. The main focus was on how to share social networks owned by organizations without revealing the identities or sensitive relationships of the users involved. Not much attention has been given to the privacy risk of users posed by their information sharing activities. In this paper, we approach...
In this paper, we describe PEGASUS, an open source peta graph mining library which performs typical graph mining tasks such as computing the diameter of the graph, computing the radius of each node and finding the connected components. as the size of graphs reaches several giga-, tera- or peta-bytes, the necessity for such a library grows too. To the best of our knowledge, PEGASUS is the first such...
Double-difference carrier-phase relative positioning can realize GPS high-precision positioning. In the designing and implementation of post-processing technique, the key is resolving integer ambiguities. Applying with VC++ combining with MATCOM, the transformation from two dimension array to matrix has been realized, and matrix calculation is implemented in MATCOM, in which the LAMBDA algorithm has...
With trust degree set to be the foundation of component service selection in composite service, the execution and selection of composite services could be carried out more effectively based on the trust degree of service; It is favorable for those component services with higher trust degree to join into the process of service composition, thus, enhances the trustiness of composite service. Through...
Wireless Sensor Networks (WSNs) have been of high interest during the past couple of years. One of the most important aspects of WSN research is location estimation. As a good solution of fine grained localization Reichenbach et al. introduced the Distributed Least Squares (DLS) algorithm, which splits the costly localization process in a complex precalculation and a simple postcalculation which is...
An explosion of new research is vastly changing the medical sciences understanding of the cancer biology and giving new clues about how to attack it. This research tries to use a new impact analysis approach to investigating how the age, year and sex affect the probability of getting breast cancer. The impact analysis is an approach that is used to investigate the association of the impact factor...
We characterize the stability and achievable performance of networked estimation under correlated packet losses described by the Gilbert-Elliot model. For scalar continuous-time linear systems, we derive closed-form expressions for the mean-square distortion of the optimal estimator. The conditions for stable mean square estimation error are equivalent to those obtained previously for stability of...
In this paper, a new distributed Kalman filter is proposed for state estimation of systems with acyclic digraph, namely acyclic systems. This method can be applied to a number of large-scale systems including sensor networks and formation flying missions. An acyclic system can be represented by an overlapping block-diagonal state space (OBDSS) model, which requires an extensive communication overhead...
Wireless sensor networks (WSNs) have been of high interest during the past couple of years. One of the most important aspects of WSN research is location estimation. As a good solution of fine grained localization Reichenbach et al. introduced the distributed least squares (DLS) algorithm, which splits the costly localization process in a complex precalculation and a simple postcalculation which is...
In order to reduce the computational load of the recursive least squares (RLS) algorithm, a decomposition based least squares algorithm is developed for non-uniformly sampled multirate systems. The main ideal is to decompose the identification model of the non-uniformly sampled systems into several submodels with smaller dimensions and fewer parameters based on the hierarchical identification principle...
This paper studies the velocity-consensus problem of multi-agent systems with second-order agent dynamics and proposes an asynchronous distributed consensus protocol allowing for switching interaction topology, time-varying delays and intermittent information transmission. Unlike the existing works, the agreement of position-like states is not required in this paper. Velocity consensus is a prerequisite...
The Two-Stage Algorithm (TSA) has been extensively used and adapted for the identification of block-oriented nonlinear systems including Hammerstein systems. This paper revisits an optimality result established by Bai in 1998 showing that the TSA provides the optimal estimation of a bilinearly parameterized Hammerstein system in the sense of a weighted nonlinear least-squares (LS) criterion formulated...
In this article, we consider the estimation for the vector of parameters in a linear regression model by unifying the sample and the prior information. A new Liu-type biased estimator called weighted stochastic restricted Liu estimator is proposed. Furthermore, necessary and sufficient conditions for the superiority of the weighted stochastic restricted Liu estimator over the Liu estimator, the weighted...
EDA-RL, estimation of distribution algorithms for reinforcement learning problems, have been proposed by us recently. The EDA-RL can improve policies by EDA scheme: First, select better episodes. Secondly, estimate probabilistic models, i.e., policies, and finally, interact with the environment for generating new episodes. In this paper, the EDA-RL is extended for multi-objective reinforcement learning...
Referring to the possible problem of gyro random drift effect on the Line of Sight (LOS) stabilization accuracy, a method for the LOS stabilization based on visual attitude estimation is proposed. A monocular vision system is established by four coplanar reference points on the ground and a double-focus CCD camera in the carrier. The quaternion is used to represent the transform relation between geodetic...
Data association is one of the crucial parts in the reliable objects' tracking system. In this paper, a methodology for data association using an Oriented Bounding Box based object representation is presented. A laser scanner sensor is used for objects perception. A data association algorithm for coalescing objects is described. The algorithm is based on the Nearest Neighbours principle enriched by...
With the merits as far responding distance, hiding receiving and easy-deploying, the single observation passive location has a broad application in military domain and plays an important part in passive radar, navigation and aerospace, etc. With the information of phase-difference, phase-difference rate of change and Doppler frequency rate of change, a new algorithm called PFRC, based on EKF, is proposed...
Predicting latency between nodes on the Internet can have a significant impact on the performance of many services that use latency distances among nodes as a decision making input. Coordinate-based approaches are among the family of latency prediction techniques where latency between each pair of nodes is modeled as the virtual distance among those nodes over a virtual system. This article proposes...
In this paper, we propose an analytical eye-diagram estimation method for a channel of a pair of differential microstrip traces on PCBs with arbitrary source and load terminations. The closed-form equation of the voltage transfer function for the given channel structure is derived and the method to deduce the worst case data patterns by considering the asymmetric and finite slew rates of the input...
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.