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.
Urban evacuation is of great significance in saving human lives when disasters strike major cities. Comparing with the large population to evacuate, the number of evacuation guiders is much smaller. Since the location of evacuation guiders can greatly influence the evacuation process, it is crucial to identify the most critical locations to assign guiders. The assignment optimization for evacuation...
Name ambiguity arises when one retrieves publications written by distinct author entities who share the same name. During the past decades, a myriad of supervised and unsupervised methods have been proposed to resolve the ambiguity of author names and boost retrieval performance for digital libraries and other similar websites such as Citeseer1 and WanFang2. However, most of them either need large...
For the single-user multi-terminal scenario, a novel user service behavior prediction and optimization algorithm is proposed in this paper, which can realize the accurate prediction of service requirements and optimal selection of service terminals, so as to improve user QoE effectively. Firstly, by using an adaptive feedback based weight correction method, a modified entropy weighted Markov model...
In this paper, we investigate the ℋ∞ filtering problem of discrete-time Takagi-Sugeno (T-S) fuzzy systems in a network environment. Different from the well used assumption that the normalized fuzzy weighting function for each subsystem is available at the filter node, we consider a practical case in which not only the measurement but also the normalized fuzzy weighting functions are transmitted via...
This paper is concerned with a tracking controller design problem for discrete-time networked predictive control systems. The control law used here is a combined state-feedback control and integral control. Since not all the states are available in practice, a local Luenberger is utilized to estimate the state vector. The measured output and the estimated state vector are packed together and transmitted...
Consider the moment consistency and strong consistency of the weighted kernel estimator of unknown function under regression model. By the moment inequality, Cr inequality, Borel-Cantelli lemma, we get new moment consistency and strong consistency theorems of weighted kernel estimators of nonparametric regression functions for ANA sequences errors under some suitable conditions. The results obtained...
This paper presents a method for SLAM in Robot and Wireless Sensor Network (WSN) System using Bayes framework. A mobile robot equipped with sensor measuring the range to WSN nodes by Received Signal Strength Indicator (RSSI) can simultaneously localize itself as well as locate the sensor nodes of WSN. We adopted an algorithm based Rao-Blackwellized Particle Filter (RBPF) to integrate measurements...
The problem of on-line parameter identification was discussed for linear multivariable discrete time stochastic systems with communication access constraints. Based on the concept of parameter estimability defined with mutual information, a condition for identifiability was proved under the assumption that the time-varying parameter can be modeled as a Gauss-Markov process, and the sensors access...
Cognitive radio is a dynamic spectrum access technology as a solution to spectrum under-utilization problem in some licensed bands. Cognitive radio should sense the spectrum usage steadily to prevent interfering licensed users and spectrum occupancy information of licensed users can be used both for learning the usage and prediction of the future occupancy. In this paper, a two-state high-order Markov...
This paper proposes an image retrieval method based on multi-feature similarity score fusion using genetic algorithm. Single feature describes image content only from one point of view, which has a certain one-sided. Fusing multi-feature similarity score is expected to improve the system's retrieval performance. In this paper, the retrieval results from color feature and texture feature are analyzed,...
In this paper, propagation process of malicious code in computer networks are analyzed by discrete-state Markov model. Computer system without defense mechanism of virus in the networks can be classified: susceptible(S), quarantine(Q), infection(I) and health(H). But the state of computer system is varying. These varieties are only relative to the state at present, and are disrelated to the past state...
This paper proposes a method to improve brain-tissue segmentation, especially in subcortical region, by fusing the information in structural magnetic resonance (MR) images and diffusion tensor (DT) images in a sound statistical framework. The proposed method incorporates the information in DT images by parameterizing the space of diffusion tensors, in a principled and efficient manner, based on a...
The behavior of network entities, such as flows, sessions, hosts, and users, can often be described by communication event sequences in the time domain. For the purpose of many network measurement and monitoring tasks, it is desirable to have an accurate yet information-compact profiling of the behavior of massive event sequences. This paper proposes a new method to achieve this goal. On a given set...
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.