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Probabilistic movement models and zones of control

Ulf Brefeld, Jan Lasek, Sebastian Mair
2018 Machine Learning  
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

Cagatay Turkay, Emre Koc, Selim Balcisoy
2009 The Visual Computer  
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

Feng-Shuo Hsu, Tang-Chen Chang, Zi-Jun Su, Shin-Jhe Huang, Chien-Chang Chen
2021 Micromachines  
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

Fruzsina Kápolnainé Nagy-Göde, Ákos Török
2022 Water  
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

Allami J Ez Zahraouy H
2015 Journal of Generalized Lie Theory and Applications  
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

Gerhard Neumann, Christian Daniel, Alexandros Paraschos, Andras Kupcsik, Jan Peters
2014 Frontiers in Computational Neuroscience  
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

JeeWoong Park, Yong K Cho, Ali Khodabandelu
2018 Sensors  
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

H.R. Tavakoli
2012 Iranica Journal of Energy & Environment  
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

Shuqin Zhang, Shijie Wang, Guangyao Bai, Minzhi Zhang, Peng Chen, Chunxia Zhao, Shuhan Li, Jiehan Zhou, Zhiguo Qu
2022 Wireless Communications and Mobile Computing  
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


Valeriy Chepizhenko, Nataliia Solomina
2014 Vìsnik Nacìonalʹnogo Avìacìjnogo Unìversitetu  
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

Jordi Grau-Moya, Pedro A. Ortega, Daniel A. Braun, Reza Shadmehr
2012 PLoS Computational Biology  
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

Md. Shirajum Munir, Do Hyeon Kim, Anupam Kumar Bairagi, Choong Seon Hong
2021 IEEE Sensors Journal  
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

A. Golara
2014 Natural Hazards  
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

Sagar Tripathi, Sana Zafar
2016 International Journal of Engineering Research and  
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

Richard R. Carrillo, Eduardo Ros, Christian Boucheny, Olivier J.-M.D. Coenen
2008 Biosystems (Amsterdam. Print)  
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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