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Reading is one of the main paths to acquire knowledge, either done traditionally on paper media or practiced on electronic devices. Efficiency varies when different reading patterns are involved. It is the objective of this research to classify reading patterns from fixation data using machine learning techniques in an attempt to understand and evaluate the reading and learning process. In our experiment,...
Given a database of spatial trajectories reporting the movement of a set of objects in a time frame, the problem is to discover the groups of objects that stay in close proximity within a geographical area for a significant time. To deal with the problem, techniques for the discovery of collective patterns, e.g. the meeting pattern, have been proposed. Such techniques, however, impose stringent constraints...
Spatiotemporal event sequences (STESs) are the ordered series of event types whose evolving region-based instances frequently follow each other in time and are located closeby. Previous studies on STES mining require significance and prevalence thresholds for the discovery, which is usually unknown to domain experts. As the quality of the discovered STESs is of great importance to the domain experts...
In this paper, we propose a work flow for processing and analysing large-scale tracking data with spatio-temporal marks that uses an infrastructure for machine learning methods based on a meta-data representation of point patterns. The tracking log (IP address) of cyber security devices usually maps to geolocation and timestamp, such data is called spatiotemporal data. Existing spatio-temporal analysis...
The emerging of the intelligent transportation system especially in the research area of traffic surveillance and solving traffic congestions, become notably crucial for traffic operators in the aim of achieving efficient vehicle flow. However, behavioural manoeuvres that describe the pattern of vehicles movements and change of the vehicle flow are not sufficiently modeled based on the conventional...
A Getz-Masden dynamic system 2 (GMDS2) is investigated in this paper. For the purpose of solving time-varying complex matrix inverse, we propose a TZ-type (i.e., Taylor-Zhang type) discrete Getz-Masden dynamic system 2; i.e., the proposed TZ-type discrete Getz-Masden dynamic system 2 is discretized by Taylor-Zhang discretization formula. The results of numerical experiments not only show the efficacy...
The modified (due to ergodic hypothesis using) Poincaré transversal cutting surface method is proposed for studying control effectiveness from data of a “passive” experiment. The obtained quasi-recurrence-plots map makes it possible to identify lagging and successfully developing regions according to achieved level of the density of the population and level of human development.
Compared with Zhang dynamics (ZD) method, gradient dynamics (GD) method, which is intrinsically feasible and efficient to solve time-invariant problems, could have a simpler hardware implementation. In this paper, different from conventional type-Z0G1 controller in Zhang-gradient (ZG) framework, which uses gradient descent of input vector, a type-Z0G1 controller using gradient descent of state vector...
In order to cover unknown workspace of mobile robots, an area-coverage path planning which is controlled by a novel memristor-based double-stroll chaotic system has been proposed in this paper. The motion path of the mobile robots is unpredictability, randomly, and evenly. The characteristics of unpredictability of motion path and the fast scanning have lots of usage, such as the surveillance of terrains,...
This paper presents the application of the Anisotropic Fast Marching Method to the path planning problem of robots moving in spatial environments. The slope of a terrain should be considered in a tensorial way because at any point on a mountainside there are two main slopes: the maximum, which is the slope of the gradient, and the minimum, which is the perpendicular slope to the gradient. The resulting...
Plant health is an essential factor to reduce the number of import in a country. In this research, we use paddy as an example to understand plant health. Our research is motivated by our belief that technology might aid in reducing chances of failed paddy harvest in Indonesia. To understand the plant health of paddy, we designed unmanned aerial vehicle (UAV) integrated pocket cameras to record near...
Online multi-object tracking generally addressed in tracking-by-detection paradigm. Multi-object tracking is more complicated when a frame consists of abrupt motion and similar appearance of objects. The abrupt motion and similar appearance cause ambiguity to the cost function, which gradually reduces assignment performance of the tracker. In this paper, we exploit the object appearance and dynamics...
With the development of positioning technologies and the increasing popularity of location-aware devices, large volumes of trajectory data have been accumulated. However, efficient management and access to massive trajectory data remains a big challenge. The emerging NoSQL database has provided a promising solution for this challenge. But most of the current NoSQL databases do not support direct spatiotemporal...
In this paper, we propose an approach for a robot to adapt time scale of motions to guarantee temporal constraints of robot tasks. To this end, an selective Gaussian mixture model is first presented based on motion significance. Also, an selective Gaussian mixture regression is then presented to select time indexes for regression of robot motions from Gaussian mixtures based on motion significance...
The aim of this study is to develop a new method for hand gesture recognition using Leap Motion via deterministic learning. Efficient and accurate extraction and representation of gesture features are achieved. The recognition approach consists of two stages: a training stage and a recognition stage. In the training stage, hand gesture features representing hand motion dynamics, including spatial...
This paper presents a kinematic model based path planning algorithm for autonomous vehicle. Polynomial parameterization is used to generate the trajectory. All constraints including kinematic constraints and obstacles are represented by polynomial parameters. Using this parameterization method the velocity can be planned simultaneously. Road information is taken into account in the object function...
Requiring a dwell time before selection is a common way to solve “Midas-touch problem” in gaze-based interaction. Choosing the dwell time involves a tradeoff between unintentional selection for short dwell times and slow text entry for long dwell times. We propose a probabilistic model for gaze based selection, which adjusts the dwell time based on the probability of each letter based on the past...
In this paper we present a review of gait analysis methods used for medical applications. First of all, we introduce a system of real-time gait acquisition. Next, three ways of gait data representation: trajectories, Euler angles and medical angles are described along with the most promising methods of gait analysis based on those representations like gait indices, Dynamic Time Warping, manifold methods...
Observability in bearings-only target analysis (BOTMA) is studied when the target is in constant-velocity motion and the observer maneuvers gently (a constant turn motion or a constant acceleration motion). During our study, we proved that the rendezvous routes of the observer and the target play a key role in this analysis. We establish necessary and sufficient conditions of observability and we...
Although for the general public marine oil pollution happens when an oil tanker sinks in the ocean or an accident occurs in an oil platform, most of the oil entering the world ocean does it along less obvious paths. This research work focus on operational spills. It provides a first indication of the uncertainty associated to backtracking simulations using solutions from several operational models...
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