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Probabilistic movement models and zones of control
2018
Machine Learning
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As a remedy, we propose to estimate individual movement models from positional data and show how to turn these estimates into accurate and realistic zones of control. ...
Coordinated movements of players are key to success in team sports. However, traditional models for player movements are based on unrealistic assumptions and their analysis is prone to errors. ...
Acknowledgements The authors would like to thank Hendrik Weber and Deutsche Fußball Liga (DFL) and Sportcast GmbH for providing positional data. ...
doi:10.1007/s10994-018-5725-1
fatcat:c3s2e6eg65h6fha4apw7q63mte
An information theoretic approach to camera control for crowded scenes
2009
The Visual Computer
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The developed framework contains a probabilistic model of the scene to build entropy and expectancy maps. ...
Navigation and monitoring of large and crowded virtual environments is a challenging task and requires intuitive camera control techniques to assist users. ...
Probabilistic model and scene analysis We begin with building a probabilistic model of the scene where both spatial and temporal dimensions of the activities are taken into consideration. ...
doi:10.1007/s00371-009-0337-1
fatcat:updgodzqufb4jde32sfdcdfsgu
Smart Fall Detection Framework Using Hybridized Video and Ultrasonic Sensors
2021
Micromachines
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We also employ the Gaussian mixture model as the DDFT kernel. Then, we utilize those features to build a probabilistic model of human falling. ...
The model visually exhibits three possible states of human motions: normal motion, transition, and falling. ...
Acknowledgments: This work was supported in part by the Higher Education Sprout Project of National Central University, and the College Student Research Scholarship funded by the Ministry of Science and ...
doi:10.3390/mi12050508
pmid:34062903
pmcid:PMC8147365
fatcat:cfnauzixu5d4tmjtrzyni4kqty
Rainfall-Induced or Lake-Water-Level-Controlled Landslide? An Example from the Steep Slopes of Lake Balaton, Hungary
2022
Water
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The slope stability was assessed using two software with different approximations and calculation methods. The results of the models using Plaxis and Rocscience Slide2 are compared. ...
The modeled slip surfaces are in good agreement with the inclinometer monitoring data of the site; meanwhile, the top of the slope failures is not influenced by water level. ...
system and for their professional support. ...
doi:10.3390/w14071169
fatcat:nkcobhdevzfq5bpvvn2iur3z5q
Traffic Network and Optimization a Future Subscriber's Mobile Telecom Operator in Train
2015
Journal of Generalized Lie Theory and Applications
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telecom, we used a deterministic and a probabilistic method. the train in our model example travels through a cellular network and passed into four zones (Z1, Z2, Z3 and Z4), each one is characterized ...
We have studied statistics in deterministic and probabilistic vision of traffic telecom; the model used is approach to vehicular traffic model. ...
, frequency of travel, fields, speed), allowing the network to control, plan and optimize a future movement of a subscriber telecom operator. ...
doi:10.4172/1736-4337.1000219
fatcat:zxygo4no6rd6hiklgtzpe334aa
Learning modular policies for robotics
2014
Frontiers in Computational Neuroscience
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Furthermore, we developed a ne representation for the individual building block that supports co-activation and principle ways for adapting the movement. ...
Finally, we summarize our experiments for learnin modular control architectures in simulation and with real robots. l g , k t a y n w d g ...
The robot gets rewards of 1, 2, and 3 for reaching zone 1, 2 or 3, respectively. After each shot, the control puck is returned to the robot. ...
doi:10.3389/fncom.2014.00062
pmid:24966830
pmcid:PMC4052508
fatcat:thnozh7pofdznlr6hxxhrypfqa
Sensor-Based Safety Performance Assessment of Individual Construction Workers
2018
Sensors
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Probabilistic evaluation showed a slight underestimation and overestimation in certain cases; however, the model represented the overall safety performance of a subject quite well. ...
The framework defines parameters for zone-based safety risks and establishes a zone-based safety risk model to quantify potential risks to workers. ...
Acknowledgments: The publication fees for this article were supported by the University of Nevada, Las Vegas (UNLV) University Libraries Open Article Fund. ...
doi:10.3390/s18113897
pmid:30424558
fatcat:ys2fp7m6sjh4xdirjij77r64ne
Probabilistic and Deterministic Seismic Hazard Assessment in Amol Center, a City in North of Iran
2012
Iranica Journal of Energy & Environment
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Afterwards, for seismic hazard analysis, the seismic parameters of study region are determined and seismic classification zone is performed. ...
In this paper, the peak ground acceleration (PGA) over the bedrock is calculated by a probabilistic and deterministic seismic hazard assessment. An active fault map of the region is prepared. ...
source model of the region and appropriate attenuation relationships. ...
doi:10.5829/idosi.ijee.2012.03.03.3004
fatcat:7mpynbnypnef7iayen7dhg2nwe
Design of Threat Response Modeling Language for Attacker Profile Based on Probability Distribution
2022
Wireless Communications and Mobile Computing
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Threat modeling and simulation (TMS) was aimed at dynamically capturing the features of attacks, which is a challenging job in complex Industrial Internet of Things (IIoT) control systems due to the complicated ...
Furthermore, it merges attacker features and probabilistic attack graphs in the simulation to improve TMS performance. ...
Acknowledgments This work was supported by the Key Program Research Fund of Higher Education of Henan, China (18B520044 and 19A520048), and the Science and Technique Foundation of Henan, China (182102210526 ...
doi:10.1155/2022/2323228
fatcat:cc4onzjbujbftkw2llazebgqka
SYNTHESIS OF AIR TRAFFIC CONTROLLING ON THE BASE OF ARTIFICIAL GRAVITATIONAL FIELDS METHOD USING
2014
Vìsnik Nacìonalʹnogo Avìacìjnogo Unìversitetu
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For investigation of artificial gravitational fields method was modeled the movement of two conflicting aircraft with the different angles of , was presented the area of the control states with the degrees ...
of development. ...
Probabilistic method is the most general: nominal and worst-case probabilistic model subsets of trajectories. ...
doi:10.18372/2306-1472.58.6666
fatcat:yenp3vnyrzdurdesomccsi622u
Risk-Sensitivity in Bayesian Sensorimotor Integration
2012
PLoS Computational Biology
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In particular, they allow deviations from their probabilistic model in cases where this model makes imprecise predictions. ...
In contrast, risk-sensitive decision-makers are sensitive to model uncertainty and bias their decision-making processes when they do inference over unobserved variables. ...
Model uncertainty allows a decision-maker who has a probabilistic model of the environment to deviate from this model if he trusts this model only to a limited extent. ...
doi:10.1371/journal.pcbi.1002698
pmid:23028294
pmcid:PMC3459842
fatcat:yjndsqwj5fhy5aeoibiu3h23ym
When CVaR Meets with Bluetooth PAN: A Physical Distancing System for COVID-19 Proactive Safety
2021
IEEE Sensors Journal
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Notably, in the first stage, we determine a PAN creator's safe movement distance by proposing a probabilistic linear model. ...
To solve the formulated risk-aware physical distancing problem, we propose two stages solution approach by imposing control flow, linear model, and curve-fitting schemes. ...
First, we estimate current distance from PAN creator to other users and assigned each user j ∈ J into one of the zone among three (i.e., high risk, moderate risk, and safe zone) using a control flow scheme ...
doi:10.1109/jsen.2021.3068782
pmid:35790090
pmcid:PMC8768991
fatcat:ges6z3anhvcktgh3cyezsvr2ne
Probabilistic seismic hazard analysis of interconnected infrastructure: a case of Iranian high-pressure gas supply system
2014
Natural Hazards
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earthquakes data, geology, tectonics, fault activity and seismic zone models in Iran. ...
The development of the new seismic hazard map of Iran with regard to the specification of Iranian high pressure gas network is based on probabilistic seismic hazard analysis using the historical and new ...
for PGV and PGD has not followed the development of the PGA and spectral models. ...
doi:10.1007/s11069-014-1087-6
fatcat:3ctxyk3q75avxi5di7bgev2my4
Deterministic Seismic Hazard Analysis of the Region
2016
International Journal of Engineering Research and
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India is considered one of the most seismically active countries. According to severity of earthquake, Indian zones are divided in to five earthquake zones. ...
Peak ground acceleration (PGA) model has been presented for the basic design parameters of that region. ...
. Identification and characterization of all sources Selection of source-site distance parameter Selection of "controlling earthquake" Definition of hazard using controlling earthquake Seismic ...
doi:10.17577/ijertv5is020638
fatcat:5nbfgqqjwrh67jfoaumvmj7m3i
A real-time spiking cerebellum model for learning robot control
2008
Biosystems (Amsterdam. Print)
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We describe a neural network model of the cerebellum based on integrate-and-fire spiking neurons with conductance-based synapses. ...
The neuron characteristics are derived from our earlier detailed models of the different cerebellar neurons. We tested the cerebellum model in a real-time control application with a robotic platform. ...
Acknowledgements This work was supported by the EU project SENSOPAC (IST-028056) and the National Spanish Grant DEPROVI (DPI 2004-07032). ...
doi:10.1016/j.biosystems.2008.05.008
pmid:18616974
fatcat:kjw5zkdywjax3az45dn7upmpam
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