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This paper considers the problem of providing advice to an autonomous agent when neither the behavioural policy nor the goals of that agent are known to the advisor. We present an approach based on building a model of “common sense” behaviour in the domain, from an aggregation of different users performing various tasks, modelled as MDPs, in the same domain. From this model, we estimate the normalcy...
In this paper, we address the control problem of multiple Unmanned Aerial Vehicles (UAVs) flocking by using a behavior-based strategy. We conceive a behavior intending to address the control design towards a successful achievement of the flocking task without fragmentation. Moreover, through its implemention in UAVs, no rendezvous point is needed to perform flocking. We design a control law, which...
This paper studies the synchronization problem of multi-agent systems with nonlinear dynamics in mean square. It is supposed that the measurement of relative-state is disturbed. For the nonlinear multi-agent systems, we show that the conventional consensus protocols are robust against the measurement noises which are dependent to the relative-state. Simulations are provided to demonstrate the theoretical...
This paper considers the generalized projective synchronization problem for an array of non-identical coupled chaotic systems with ring connections. By using the direct design method, the control laws, which transform the error system into a nonlinear system with special antisymmetric structure, are designed to realize the generalized projective synchronization. Some simple stability criteria are...
The Boolean network is a powerful tool in describing, analyzing, and simulating the cellular networks. In this paper, we investigate stability of given subsets (or set stability) for Boolean networks which includes synchronization problem as a special case. First of all, based on the semi-tensor product of matrices and the algebraic expression of Boolean networks, we derive some necessary and sufficient...
Due to the competition for limited resources by many concurrent processes in large scale automated manufacturing systems (AMS), one has to resolve a deadlock issue in order to reach their production goal without disruption and downtime. Monolithic resolution is a conventional approach for optimal or acceptable solutions, but suffers from computational difficulty. On the other hand, some decentralized...
In the spinning process, the tool trajectories is equidistant line of mold profile curve. For specific CNC spinning process, the machining toolpaths are calculatedby the principle of equidistance line. This paper presents an efficient algorithm for the calculation of two-dimensional composite curve equidistant lines. The algorithm calculates the trajectory of processing tool based on limited data...
This paper presents a simple 4-D piecewise linear systems with beautiful butterfly chaotic attractor. The system is formulated by introducing an additional state variable into the 3D jerk system. Computer simulation is given to visualize the attractor, and a simple circuitry is designed for the system implementation. The experimental results are quite coincident with computer simulations. This system...
Daily, vehicles in transit in a city and during their trajectories encounter other vehicles. The regularity of these encounters is influenced by several elements, such as: vehicle's speed, destinations, traffic conditions, and the period of the day. It is possible to justify these elements by road conditions and the driver's behavior. People have routines and similar behaviors, which strongly impact...
In this demonstration, we show a radio map construction system that utilizes opportunistically sensed data contributed by users. Our free-of-infrastructure system releases users from tedious site survey and does not require prior knowledge as floor plan. By merging trajectories collected by different users, the system can automatically generate an indoor floor plan and respective radio map.
While location is one of the most important context information in mobile and ubiquitous computing, large-scale deployment of indoor localization system remains elusive. In this work, we propose PiLoc, an indoor localization system that utilizes opportunistically sensed data contributed by users. Our system does not require manual calibration, prior knowledge and infrastructure support. The key novelty...
Understanding timing accuracy in humans is critical as it presents an important constraint on skilled motor performance. The limits intrinsic to the central nervous system, however, remain highly disputed and reported values range from 1ms to 9ms. Using a virtual throwing task that allowed precise control and measurement of task performance, this study explored the bounds of human timing accuracy...
Information about error via visual feedback presents important information to promote motor learning. Amplifying error information has shown to be beneficial but the mechanism(s) behind such benefits have not been elucidated. We used a virtual throwing task and model-based system identification to test the hypothesis that performance improvement could not only be attained by an increase in feedback...
Classical geomagnetic navigation mainly adopts geomagnetic matching technology with a priori magnetic map. In this paper, we research the navigation problem of an autonomous underwater vehicle (AUV) without a priori magnetic map. Our inspiration is derived from animal moving behaviors to navigate without having any a priori knowledge. The problem is illustrated as the search problem of multi-parameter...
While rhythmically bouncing a ball with a racket appears to be a simple task, it requires precise perceptually-guided coordination between racket and ball to be successful. In this task, subjects manipulate a real table tennis racket to rhythmically bounce a virtual ball to a target height in a 2D virtual environment. Stability analyses of the mathematical model of a bouncing ball showed that dynamic...
Reinforcement learning is explored as a candidate machine learning technique to enhance existing analytical solutions for optimal trade execution with elements from the market microstructure. Given a volume-to-trade, fixed time horizon and discrete trading periods, the aim is to adapt a given volume trajectory such that it is dynamic with respect to favourable/unfavourable conditions during realtime...
A computer-aided diagnosis [CAD] system are proposed to segmenting and tracking of fluorescent cells in time-lapse series. We proposed tracking scheme involves two steps. First, coherence-enhancing diffusion filtering is applied on each frame to reduce the amount of noise. Second, the cell boundaries are detected by minimizing the Otsu model in the fast level setlike frameworks, while obtaining smooth...
Building upon state-of-the-art algorithms for pedestrian detection and multi-object, and inspired by sociological models of human collective behavior, we automatically detect small roups of individuals who are traveling together. These groups are discovered by bottom-up hierarchical clustering using a generalized, symmetric Hausdorff distance defined with respect to pairwise proximity and velocity...
In this presentation, we describe how field-field correlation functions may be efficiently propagated using ideas based on ray propagation. The key point is to make a connection between the field-field correlation function and the corresponding Wigner function, which is obtained from it by Fourier transformation.
Flickr represents a massive opportunity to mine valuable human movement data from geo-tagged photos. However, existing Flickr trajectory data mining research has not considered mining frequent trajectory patterns whilst also considering the temporal domain. Therefore, a significant opportunity exists to demonstrate the application of a pattern mining algorithm to a large geo-tagged photo dataset....
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