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Items from 1 to 20 out of 9,437,523 results

article

Iris sensor identification in multi-camera environment

Akshay Agarwal, Rohit Keshari, Manya Wadhwa, Mansi Vijh, more

Information Fusion > 2019 > 45 > C > 333-345

Large-scale identity projects such as the Unique Identification Authority of India (UIDAI) comprise of multiple individual organizations, which may use different sensors for enrolling the individuals while the data obtained at the time of verification can be collected from a different sensor. In such multi-camera scenario, it is imperative to perform image-based iris sensor identification. In this...

article

Combining univariate approaches for ensemble change detection in multivariate data

William J. Faithfull, Juan J. Rodríguez, Ludmila I. Kuncheva

Information Fusion > 2019 > 45 > C > 202-214

Detecting change in multivariate data is a challenging problem, especially when class labels are not available. There is a large body of research on univariate change detection, notably in control charts developed originally for engineering applications. We evaluate univariate change detection approaches —including those in the MOA framework — built into ensembles where each member observes a feature...

article

Semi-supervised multi-view maximum entropy discrimination with expectation Laplacian regularization

Guoqing Chao, Shiliang Sun

Information Fusion > 2019 > 45 > C > 296-306

Semi-supervised multi-view learning has attracted considerable attention and achieved great success in the machine learning field. This paper proposes a semi-supervised multi-view maximum entropy discrimination approach (SMVMED) with expectation Laplacian regularization for data classification. It takes advantage of the geometric information of the marginal distribution embedded in unlabeled data...

article

A novel stability criterion of the time-lag fractional-order gene regulatory network system for stability analysis

Zhe Zhang, Jing Zhang, Zhaoyang Ai

Communications in Nonlinear Science and Numerical Simulation > 2019 > 66 > C > 96-108

This paper presents a novel stability criterion of the time-lag fractional-order gene regulation network system(FGRNs) for stability analysis by means of Jensen inequality, Wirtinger inequality, fractional-order Lyapunov method and integral mean value theorem. The two inequalities are often seen, applied to the stability analysis of integer-order gene regulation network system, but rarely to that...

article

Real-time path planning to dispatch a mobile sensor into an operational area

Youngjoo Kim, Wooyoung Jung, Hyochoong Bang

Information Fusion > 2019 > 45 > C > 27-37

This paper addresses problems of large planning time and cost uncertainty for informative path planning of a mobile sensor where the location of sensor deployment is different of that of an operational area. The first problem is that the cost has no term dependent on sensor state before arriving at the operational area and it causes large planning time. The information of the state of interest dissipates...

article

Editorial Board

Information Fusion > 2019 > 45 > C > ii

article

Localized modes in the Gross-Pitaevskii equation with a parabolic trapping potential and a nonlinear lattice pseudopotential

G.L. Alfimov, L.A. Gegel, M.E. Lebedev, B.A. Malomed, more

Communications in Nonlinear Science and Numerical Simulation > 2019 > 66 > C > 194-207

We study localized modes (LMs) of the one-dimensional Gross-Pitaevskii/nonlinear Schrödinger equation with a harmonic-oscillator (parabolic) confining potential, and a periodically modulated coefficient in front of the cubic term (nonlinear lattice pseudopotential). The equation applies to a cigar-shaped Bose-Einstein condensate loaded in the combination of a magnetic trap and an optical lattice which...

article

Distributed decision fusion under nonideal communication channels with adaptive topology

Junhai Luo, Jing Ni, Zuoting Liu

Information Fusion > 2019 > 45 > C > 190-201

Multi-sensor decision fusion has attracted some attention in information fusion field, meanwhile, the distributed target detection has been a well-studied topic in the multi-sensor detection theory. This paper investigates the increase in detection reliability that an adaptive network (with adaptive topologies and nonideal channels and decision fusion rules) can provide, compared with a fixed topology...

article

Use of degeneration to stabilize near grazing periodic motion in impact oscillators

Shan Yin, Jinchen Ji, Guilin Wen, Xin Wu

Communications in Nonlinear Science and Numerical Simulation > 2019 > 66 > C > 20-30

In controlling the discontinuous grazing bifurcations in impact oscillators, a discrete-in-time linear feedback control strategy in the existing literature was used to change the conditions at the grazing point based on the grazing stability criterion. Though this strategy is effective for its linear inequality constraint of the control parameter domain, a smooth and predictable bifurcating response...

article

Fusion estimation for multi-sensor networked systems with packet loss compensation

Jian Ding, Shuli Sun, Jing Ma, Na Li

Information Fusion > 2019 > 45 > C > 138-149

This paper is concerned with information fusion estimation problems for multi-sensor networked systems with random packet losses. Based on a recent developed compensation strategy of packet losses that the predictor of lost observation is used as the observation when a packet is lost, centralized fusion estimators (CFEs), including the filter, predictor and smoother, in the linear unbiased minimum...

article

Robust weighted state fusion Kalman estimators for networked systems with mixed uncertainties

Chunshan Yang, Zhibo Yang, Zili Deng

Information Fusion > 2019 > 45 > C > 246-265

This paper is concerned with robust weighted state fusion estimation problem for a class of time-varying multisensor networked systems with mixed uncertainties including uncertain-variance multiplicative and linearly correlated additive white noises, and packet dropouts. By augmented state method and fictitious noise technique, the original system is converted into one with only uncertain noise variances...

article

Analysis of mathematical model of prostate cancer with androgen deprivation therapy

Assia Zazoua, Wendi Wang

Communications in Nonlinear Science and Numerical Simulation > 2019 > 66 > C > 41-60

Stochastic noises are introduced to a model of androgen deprivation therapy of prostate cancer to study the effects of noises on tumors dynamics under treatment. Besides global analysis of the deterministic model, threshold conditions between extinction and persistence in mean for the stochastic system are obtained where noises play an important role in persistence and extinction of tumor cells. Sufficient...

article

An iterative boosting-based ensemble for streaming data classification

João Roberto Bertini Junior, Maria do Carmo Nicoletti

Information Fusion > 2019 > 45 > C > 66-78

Among the many issues related to data stream applications, those involved in predictive tasks such as classification and regression, play a significant role in Machine Learning (ML). The so-called ensemble-based approaches have characteristics that can be appealing to data stream applications, such as easy updating and high flexibility. In spite of that, some of the current approaches consider unsuitable...

article

Analytical description of the structure of special discontinuities described by a generalized KdV–Burgers equation

A.P. Chugainova, V.A. Shargatov

Communications in Nonlinear Science and Numerical Simulation > 2019 > 66 > C > 129-146

Traveling wave solutions of a generalized KdV–Burgers equation are studied. The nonlinearity is specified as a piecewise linear flux function consisting of four parts. A boundary value shock-structure problem is solved. An analytical solution describing the structures of special discontinuities (undercompressive shocks) is obtained, and the behavior of these solutions is examined for various parameters...

article

Recovering an unknown signal completely submerged in strong noise by a new stochastic resonance method

Dawen Huang, Jianhua Yang, Dengji Zhou, Miguel A.F. Sanjuán, more

Communications in Nonlinear Science and Numerical Simulation > 2019 > 66 > C > 156-166

Unknown signal recovery plays always a crucial role in the discipline of signal processing. Especially, a signal completely submerged by a strong noise is more difficult to be restored and identified in the engineering fields. Here, we provide an effective method to recognize the types and related parameters of an unknown signal in a strong noise background. Firstly, the nonlinear vibration approach...

article

Fusing information from tickets and alerts to improve the incident resolution process

Saeed Salah, Gabriel Maciá-Fernández, Jesús E. Díaz-Verdejo

Information Fusion > 2019 > 45 > C > 38-52

In the context of network incident monitoring, alerts are useful notifications that provide IT management staff with information about incidents. They are usually triggered in an automatic manner by network equipment and monitoring systems, thus containing only technical information available to the systems that are generating them. On the other hand, ticketing systems play a different role in this...

article

A general packet dropout compensation framework for optimal prior filter of networked multi-sensor systems

Jing Ma, Shuli Sun

Information Fusion > 2019 > 45 > C > 128-137

This paper proposes a new packet dropout compensation framework for networked multi-sensor systems. It is more general, which includes the existing popular mechanisms such as the zero-input and hold-input mechanisms as the special cases. Based on the proposed compensation framework, the centralized fusion linear optimal full-order prior filters with compensators of different weighting factors are...

article

Infrared and visible image fusion methods and applications: A survey

Jiayi Ma, Yong Ma, Chang Li

Information Fusion > 2019 > 45 > C > 153-178

Infrared images can distinguish targets from their backgrounds based on the radiation difference, which works well in all-weather and all-day/night conditions. By contrast, visible images can provide texture details with high spatial resolution and definition in a manner consistent with the human visual system. Therefore, it is desirable to fuse these two types of images, which can combine the advantages...

article

Multimodal data fusion for sensitive scene localization

Daniel Moreira, Sandra Avila, Mauricio Perez, Daniel Moraes, more

Information Fusion > 2019 > 45 > C > 307-323

The very idea of hiring humans to avoid the indiscriminate spread of inappropriate sensitive content online (e.g., child pornography and violence) is daunting. The inherent data deluge and the tediousness of the task call for more adequate approaches, and set the stage for computer-aided methods. If running in the background, such methods could readily cut the stream flow at the very moment of inadequate...

article

Simultaneous calibration and navigation (SCAN) of multiple ultrasonic local positioning systems

David Gualda, Jesús Ureña, Juan C. García, Enrique García, more

Information Fusion > 2019 > 45 > C > 53-65

This paper proposes a Simultaneous Calibration and Navigation (SCAN) algorithm of a multiple Ultrasonic Local Positioning Systems (ULPSs) that cover an extensive indoor area. The idea is the development of the same concept than SLAM (Simultaneous Localization and Mapping), in which a Mobile Robot (MR) estimates the map while it is navigating. In our approach, the MR calibrates the beacons of several...

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INFONA - science communication portal

Search results

Iris sensor identification in multi-camera environment

Combining univariate approaches for ensemble change detection in multivariate data

Semi-supervised multi-view maximum entropy discrimination with expectation Laplacian regularization

A novel stability criterion of the time-lag fractional-order gene regulatory network system for stability analysis

Real-time path planning to dispatch a mobile sensor into an operational area

Editorial Board

Localized modes in the Gross-Pitaevskii equation with a parabolic trapping potential and a nonlinear lattice pseudopotential

Distributed decision fusion under nonideal communication channels with adaptive topology

Use of degeneration to stabilize near grazing periodic motion in impact oscillators

Fusion estimation for multi-sensor networked systems with packet loss compensation

Robust weighted state fusion Kalman estimators for networked systems with mixed uncertainties

Analysis of mathematical model of prostate cancer with androgen deprivation therapy

An iterative boosting-based ensemble for streaming data classification

Analytical description of the structure of special discontinuities described by a generalized KdV–Burgers equation

Recovering an unknown signal completely submerged in strong noise by a new stochastic resonance method

Fusing information from tickets and alerts to improve the incident resolution process

A general packet dropout compensation framework for optimal prior filter of networked multi-sensor systems

Infrared and visible image fusion methods and applications: A survey

Multimodal data fusion for sensitive scene localization

Simultaneous calibration and navigation (SCAN) of multiple ultrasonic local positioning systems

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