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.
Monte Carlo integration is a numerical integration method using random numbers. The speed of convergence of the Monte Carlo integration can be faster by using appropriate chaotic random numbers generated by one-dimensional chaotic maps. This paper discusses the efficiency of Monte Carlo integration using chaotic random numbers generated by tent maps with a uniform distribution.
Human mobility pattern analysis are interesting and important topic which has become feasible nowadays by the flashing development of data collection and analysis platform technology. This paper leverages Call Detail Records(CDRs) data to analyze the mobility patterns of samples from Beijing residents. First, collective mobility and commuting patterns shows that Beijing residents are much busier than...
This paper proposes a novel cluster-based geometrical dynamic stochastic model for multi-input and multi-output (MIMO) communication environments. It is assumed that the base station (BS) has an adaptive learning ability and the BS preprocesses the received data in advance. In the proposed channel model, scatterers can be clustered into different clusters based on a machine learning cluster algorithm...
In this paper, we investigate the information-theoretic secrecy of a system with multiple legitimate receivers and multiple eavesdroppers. This system is subject to the Nakagami-m fading. Unlike some existing works, we do not assume that the fading parameters are identical or integers. Although the complexity is significantly increased, we are able to derive a set of closed-form formulas for the outage...
The method of analytic combinatorics (AC) is a unified approach to multiple object tracking that encodes joint probability distributions into probability generating functionals (PGFLs). PGFLs characterize distributions exactly. A high level view of the tracking applications of PGFLs is outlined in this paper. Assignment models in well-known filters are modeled as products of PGFLs. MHT and multiBernoulli...
In this paper, a new nonlinear loop transfer recovery control method is proposed for nonlinear systems with non-Gaussian noise. For the proposed control scheme, a dynamical feedback and an optimized cubature Kalamn filter is combined. With such method, it is shown that the deviation of the set point and the system's output could be amended by the dynamical feedback gain matrix properly, the accuracy...
Modern advanced driver assistance systems (ADAS) and automated driving functions for automobiles rely on an accurate model of the environment. To this end, the exploitation of complementary advantages of the measurement principles used by radar, lidar and camera sensors is an important prerequisite. We develop a framework for sensor data fusion that incorporates heterogeneous sensor data from multiple...
In this paper, the principle of density evolution (DE) combined with the normalized minimum-sum (NMS) decoding process is explored. It is demonstrated that with one properly chosen parameters for NMS algorithm, then almost the same behaviour of sum-product (SP) algorithm is achieved. As well, the complexity reduction is realized by calculating a linear function instead of nonlinear function. Simulation...
The paper presents a probabilistic approach (PA) to quantify the impacts of increased PV connections in bidirectional feeders within a distribution network. The aim is to establish a tool that can serve distribution network operators (DNOs) in seizing the maximum allowable photovoltaic (PV) connections, and ultimately with their responsibility on providing a reliable and secure power. An uncertainty...
This paper studies the linear quadratic Gaussian (LQG) control problem for wireless networked control systems in which control inputs are randomly dropped without the packet acknowledgment The packet acknowledgment is based on a signal scheme between the actuator and the estimator, which make the estimator know whether control packets are dropped or not. For such systems, the calculation of the optimal...
Pattern classification in electroencephalography (EEG) signals is an important problem in biomedical engineering since it enables the detection of brain activity, in particular the early detection of epileptic seizures. In this paper we propose a k-nearest neighbors classification for epileptic EEG signals based on an t-location-scale statistical representation to detect spike-and-waves. The proposed...
This paper proposes a general analytical approach to derive the outage probability of hybrid automatic repeat request with incremental redundancy (HARQ-IR) over correlated fading channels in closed-form. Unlike prior analyses, the consideration of channel correlation is one of the key reasons making the outage analysis involved. Using conditional Mellin transform, the outage probability of HARQ-IR...
This paper focuses on addressing the decentralized data fusion (DDF) problem in dynamic sensor networks based on Chernoff rule. Generally, the Chernoff rule is challenging to implement since the fused probability density functions (pdfs) that cannot be obtained in closed form. Besides, the existing works for implementing Chernoff rule are mostly confined to iterative fusion of two sensors. To address...
The Cardinalized probability hypothesis density(CPHD) filter based on box-particle(BP) technology can effectively enhance the tracking accuracy of numbers of the multi-target tracking. And it also solved the tracking problem with unknown number of targets and missing targets. Point the problems of lack of tracking accuracy and missing tracking targets in the BP-CPHD algorithm, this paper presents...
In order to improve the posture estimation accuracy of small ship, a regularized particle filter based on multidimensional autoregressive model (MARM) is proposed in this paper. The small ship has the characteristics of nonlinear stochastic dynamical systems. Particle filter algorithm has been proposed to deal with nonlinear problems for many years. Although it is effective, two problems often arise:...
In this paper, we present a collaborative fault tolerant control methodology for an irreversible interconnected output stochastic distribution control system with unknown couplings. The neural networks are adopted to approximate the upper bound of the unknown couplings and the fault functions. The stability of the whole interconnected systems is established by a rigorous Lyapunov analysis. Simulations...
The basic energy detector still plays an important role in the extended target detection, with the advantage that it does not depend on any prior knowledge of the observed target. However, for the complex extended target model, the detector's performance has not been adequately studied. This paper will focus on the theoretical detection performance of energy detector for the fluctuating extended target...
In this paper we present a method to calculate estimated values for diagnostic coverage and false alarm rates of two channel redundant sensor systems. Avoiding time-consuming methodologies going into detail of system-sub-block failure rates and detailed fault cases we show a worst-case approach based on statistical methods. Diagnostic coverage and false alarm rates are important to develop a safety...
We describe a stochastic method using Dirichlet processes to derive mixture models that allow the numerical description of outbreaks of diseases with multiple sources. We show that existing disease models may be extended using this method and how this may be used in a practical context to support the simulated response to a mass casualty public health emergency.
In this paper we study the initialization step of decoding algorithms for efficient error-control coding techniques, and its dependence of the channel characteristics over which transmission is performed. LDPC and Polar codes are selected as efficient error-control codes operating over different channels. Channels under study are the classic Additive White Gaussian noise channel, the Rayleigh fading...
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.