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In this paper we present a novel temporal super-resolution method for increasing the frame-rate of single videos. The proposed algorithm is based on motion-compensated 3-D patches, i.e., a sequence of 2-D blocks following a given motion trajectory. The trajectories are computed through a coarse-to-fine motion estimation strategy embedding a regularized block-wise distance metric that takes into account...
We propose a novel sequence score to determine to what extent neural activity is consistent with trajectories through latent ensemble states — virtual place fields — in an associated environment. In particular, we show how hidden Markov models (HMMs) can be used to model and analyze sequences of neural activity, and how the resulting joint probability of an observation sequence and an underlying sequence...
Privacy protection is critical for location-based services (LBS). A frequently proposed solution to protect location privacy suggests that the LBS users need to exchange their pseudonyms over time in protected regions called mix-zones. However, how to deploy mix-zones remains an open question and has not been well addressed in previous works. Inspired by the notion that "where you drive more...
Knowledge management becomes increasingly more important for individuals since it would make the best use of knowledge through helping learners to better understand, administer and transfer the knowledge. Externalize what the learners already know is one of the most important aspects of knowledge management. Although mind tools, ontology and knowledge graph are the most popular methodologies to interpret...
Non-intrusive load monitoring (NILM) aims to estimate the power or energy consumption for a collection of different appliances connected to a single power inlet, with only aggregated power profile being known. Such estimation is highly valuable for many potential applications in future smart grid. This paper proposes a bootstrap filtering based solver to work with smart meter data to solve the NILM...
Output regulation and the identification of plant parameters are generally conflicting objectives. However, over-actuated systems provide an opportunity to achieve identification and control objectives simultaneously, with minimal compromise. This paper presents an optimization-based simultaneous identification and control (SIC) methodology for permanent magnet synchronous machines (PMSMs) which exploits...
The fundamental idea of this work is to synthesize reactive controllers such that closed-loop execution trajectories of the system satisfies desired specifications that ensure correct system behaviors, while optimizing a desired performance criteria. We define the correctness of a system's behavior according to the system's relation to the environment, for example, the output trajectories of the system...
In this note, we study the second order sufficient conditions for local optimal controls of a general control system, which is evolved on a Riemannian manifold and provided with a general metric space as the control set. We do spike variations of control functions, introduce suitable first and second order dual equations, which include the sectional curvature, and obtain the second order sufficient...
The problem of approximate bisimulations for incrementally stable discrete-time switched systems is investigated. First, a theory of approximation for transition systems with nondeterministic evolution is developed. Then observation metrics are adopted to describe the bounded distance between system observations. Furthermore, a class of Lyapunov-like functions, called bisimulation functions, are utilized...
An optimal design method for generating a flight path passing through specified waypoints while satisfying the task points sent by the ground operators is proposed in this paper. Each specified waypoint is reached exactly at the specified location and time while intermediate waypoints are generated in such a way that they satisfy the task points, with highest benefit measure, i.e., satisfying tasks...
The paper deals with the issues that have to be faced when researching a Road User Charging (RUC) in Norway based upon GNSS and with an innovative methodology especially developed to address these issues proposed by CEN-CENELEC TC5/WG1 and supported by the SaPPART COST Action. The paper presents a case study applying the methodology to a specific RUC algorithm developed by the Norwegian company Q-Free...
Camouflaging user's actual location with fakes is a prevalent obfuscation technique for protecting location privacy. We show that the protection mechanisms based on the existing (ad hoc) techniques for generating fake locations are easily broken by inference attacks. They are also detrimental to many utility functions, as they fail to credibly imitate the mobility of living people. This paper introduces...
Ride-sharing practice represents one of the possible answers to the traffic congestion problem in today's cities. In this scenario, recommenders aim to determine similarity among different paths with the aim of suggesting possible ride shares. In this paper, we propose a novel dissimilarity function between pairs of paths based on the construction of a shared path, which visits all points of the two...
Vehicular network applications are emerging to bring many benefits to the users during their journey. However, the design and deployment of such applications require studies that provide insightful information about the network formed by vehicles. To this end, in the last years researchers have been characterizing real mobility traces collected from taxis equipped with GPS devices. However, these...
We propose a traffic safety metric called the safety marginal value (SMV) to be applied to discrete-time and continuous-space vehicular traffic networks. Every vehicle uses a set of vehicle states containing the position, velocity, and lane index of all vehicles on a roadway to determine the SMV, while also controlling its velocity for the next time step. The anterior SMV is defined as the minimum...
Ocean Environmental data is a key component utilized by the United States Coast Guard (USCG) when developing and executing a search and rescue mission. The Search and Rescue Optimal Planning System (SAROPS) became operational with the USCG in 2007 and is the main tool for developing search and rescue mission plans. This tool utilizes environmental data (wind, ocean currents, etc.) to estimate the...
A lateral offset from a jet airway, enabled by performance-based navigation (PBN), permits a faster aircraft to fly at its preferred speed instead of matching the speed of a slower aircraft in front. This paper presents the results of an analysis of pairs of aircraft with mismatched speeds obtained from the Traffic Flow Management System in 2014. Flights that could reduce their time to destination...
In this work we propose Delta-r, a new greedy heuristic for solving the allocation of roadside units in order to meet a Δρ1ρ2-Deployment. The Δρ1ρ2-Deployment is a metric for specifying minimal levels of performance from the infrastructure supporting vehicular networks. As far as we are concerned, this is the first QoS-bounded deployment strategy considering both the contact probability, and the contact...
This paper presents recent measurements addressing the Doppler spectrum spread issue for land mobile satellite applications. Those measurements are a preliminary step aiming at building a comprehensive database from various scenarios (type of environments, elevation, speed, frequency band, antenna type …) towards a Doppler modelling activity. Preliminary results and first conclusions on Doppler spectrum...
Control of balance is an inherent objective in human whole-body movements. It is essential for movement researchers as well as clinicians to quantitatively know how good the balance is at a body posture or at every moment during a task. In this research we suggest a method to quantitatively assess one's upright stability at a given body state, which assigns a value to a pair of person-state, based...
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