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In many Intelligent Transportation System (ITS) applications that crowd-source data from probe vehicles, a crucial step is to accurately map the GPS trajectories to the road network in real time. This process, known as map-matching, often needs to account for noise and sparseness of the data because (1) highly precise GPS traces are rarely available, and (2) dense trajectories are costly for live...
Predicting arrival times of buses is a key challenge in the context of building intelligent public transportation systems. In this paper, we describe an efficient non-parametric algorithm which provides highly accurate predictions based on real-time GPS measurements. The key idea is to use a Kernel Regression model to represent the dependencies between position updates and the arrival times at bus...
A new approach of indoor positioning has recently been proposed: the repealite system. It aims at providing a continuity of the positioning service through the use of GNSS (Global Navigation Satellite Systems) signals, thus leading to a single technological mean, the GNSS receiver, for both outdoors and indoors. A few error sources have to be dealt with in order to reach sub-meter accuracy, among...
Uncertainty in wireless networks, such as time-varying delays and packet loss, often leads to instability and degraded performance in Networked Control Systems (NCS). Further, limited network resources impose constraints on communication between plants and controllers. In this paper, we use passivity combined with adaptive sampling to design a control architecture for trajectory tracking. The proposed...
Worst case backlog evaluation is a key issue to avoid under or over sizing of output port buffers for store-and-forward switches. Typically, the dimensioning of switches in the context of avionics is at least as important as the upper bounding of the end-to-end delays. This paper presents a new method based on the Trajectory approach for backlog evaluation of output ports of AFDX switches. On an industrial...
The notion of integral input-to-state stability (integral-ISS) is now recognized as a central concept in nonlinear systems analysis. In this work, we explore the Razumikhin approach to the integral-ISS property for systems with delays. The main idea is to treat the delayed state variable as a disturbance input. The results in this work extend the previous results on the Razumikhin method in the contexts...
This paper gives new contributions to the area of non-Lyapunov (finite time stability, technical stability, practical stability, final stability) for the particular class of linear discrete time delay systems. The idea of attractive practical stability is introduced for the first time. Moreover, based on the matrix inequalities and Lyapunov-like functions, some new sufficient conditions under which...
This paper investigates the robust stability for time-delay Hamiltonian systems with polytypic uncertainties. Both delay-independent and delay-dependent criteria are established based on the dissipative structural properties of the Hamiltonian systems and the Lyapunov-Krasovskii (L-K) functional approach. All the proposed stability conditions are expressed in terms of Linear Matrix Inequality (LMI)...
A heterogeneous network, where a switched Ethernet backbone interconnects several existing CAN buses via bridges, is a promising candidate to build a large scale network. For real-time applications, deterministic communication is a key issue. A worst-case delay analysis on such a network has to deal with heterogeneity properties, such as different bandwidths, scheduling policies and bridging strategies...
Location privacy is one critical factor concerned by mobile users of Location Based Service (LBS). Location privacy of mobile users includes two parts: current position information and trajectory information. The problem of position anonymity in Ad Hoc & sensor networks has been widely studied during past years. Nevertheless, most of existing privacy preserving solutions either need a third part...
For smaller scale wireless sensor networks (WSN) it has been clearly shown that a single mobile sink can be very beneficial with respect to the network lifetime. Yet, how to plan the trajectories of many mobile sinks in very large WSNs in order to simultaneously achieve lifetime and delay goals has not been treated so far. In this paper, we delve into this difficult problem and propose a heuristic...
Some chaotic sequences have poor autocorrelation performance or modulated autocorrelation performance, but previously we didn't know the rule and couldn't improve their performances effectively. Using recently presented Autocorrelation and modulated Autocorrelation theorems based on a Phase Space method, we can find and mend the structure defects of chaotic sequences and improve their autocorrelation...
A population growth model that represents the growth trajectories of individual subjects is critical to study and understand neurodevelopment. This paper presents a framework for jointly estimating and modeling individual and population growth trajectories, and determining significant regional differences in growth pattern characteristics applied to longitudinal neuroimaging data. We use non-linear...
In this paper we investigate the network lifetime maximization problem in a delay-tolerant wireless sensor network with a mobile sink by exploiting a nontrivial tradeoff between the network lifetime and the data delivery delay. We formulate the problem as a joint optimization problem that consists of finding a trajectory for the mobile sink and designing an energy-efficient routing protocol to route...
As a challenged network, the delay-tolerant network (DTN) generally has unpredictable delay for the packet delivery due to the insufficiency of the network connectivity. Thus, it is inadequate to support some time-sensitive applications. In this paper we aim to mitigate this unpredictability of the delay in DTN to broaden its applications by proposing a new routing strategy to make use of the node...
Trajectory Based Operations (TBO) will rely on “negotiated flight paths” to satisfy objectives of both individual users (expressed through their user preferred trajectories) and the whole system in an equitable and efficient manner to the fullest extent possible.
The concept of Trajectory-Based Operations (TBO) is a cornerstone of the FAA NextGen CONOPS and the mid-term concepts of Trajectory Operations (TOps) will provide the path to TBO's far-term capabilities. These concepts of operation and use require a unified approach to bring both CNS and ATM capabilities together into effective methods and approaches for managing National Airspace System (NAS) throughput...
Deploying roadside access points (APs) or an infrastructure can improve data delivery. Our empirical results from real trace driven simulations show that deploying APs produces up to 5× performance gain in delivery ratio and reduces delivery delay by as much as 35% with simple routing. However, we also find that buffer resources at the APs become a critical factor and poor buffer allocation leads...
In Delay Tolerant Networks (DTNs), end-to-end connectivity between nodes does not always occur due to limited radio coverage, node mobility and other factors. Remote communication may assist in guaranteeing delivery. However, it has a considerable cost, and consequently, minimizing it is an important task. For multicast routing, the problem is NP-hard, and naive approaches are infeasible on large...
In this paper, we develop a Direct Model Reference Adaptive Tracking Controller for mildly non-linear systems with unknown input/output delays. This controller can also reject bounded disturbances of known wave form but unknown amplitude, e.g. steps or sinusoids. This adaptive controller is then applied to the control of spacecraft attitude for a PNP satellite. The PNP satellite problem is a candidate...
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