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Robotic Surveillance Based on the Meeting Time of Random Walks [article]

Xiaoming Duan, Mishel George, Rushabh Patel, Francesco Bullo
2019 arXiv   pre-print
The existing bounds on the meeting time usually work only for certain classes of walks and cannot be used to formulate optimization problems and design robotic strategies.  ...  the transition matrices of the moving agents.  ...  . , n} be the locations of the two agents at time t ∈ {0, 1, 2, . . . }, respectively.  ... 
arXiv:1912.02693v1 fatcat:fssldkrtwjfdzeh4prjiy64wpi

A dynamic approach for evacuees' distribution and optimal routing in hazardous environments

Pawel Boguslawski, Lamine Mahdjoubi, Vadim Zverovich, Fodil Fadli
2018 Automation in Construction  
In this paper, we propose a state-of-the-art dynamic approach, which deals not only with a 3D environment, shape of spaces and hazard location, but also with the dynamic distribution of occupants during  ...  Three simulation scenarios are compared in this study-namely, static with constant density values determined for subsequent stages of evacuation, semi-dynamic with densities representing an actual people  ...  The statements made herein are solely the responsibility of the author(s).  ... 
doi:10.1016/j.autcon.2018.05.032 fatcat:b2hf2wauxzak5lmtrmez3nb3mi

Counterflow in Evacuations [chapter]

Tobias Kretz
2013 Traffic and Granular Flow '11  
It is shown in this work that the average individual egress time and other performance indicators for egress of people from a building can be improved under certain circumstances if counterflow occurs.  ...  The circumstances include widely varying walking speeds and two differently far located exits with different capacity.  ...  This is surely true for a situation as shown in figure 1 . However, what if the exits have different capacities and are located at different walking distances from the two groups?  ... 
doi:10.1007/978-3-642-39669-4_13 fatcat:gilkj6jwjjbvhb4qkkskdybgqq

Markov Chain-Based Stochastic Strategies for Robotic Surveillance [article]

Xiaoming Duan, Francesco Bullo
2020 arXiv   pre-print
Then two main criteria regarding the speed and unpredictability of surveillance strategies are discussed.  ...  This article surveys recent advancements of strategy designs for persistent robotic surveillance tasks with the focus on stochastic approaches.  ...  Meeting Times of Two Markovian Agents In this subsection, we study the meeting times of two Markovian agents.  ... 
arXiv:2008.09050v1 fatcat:6nopdww7lrel3aqm35av743az4

The OptAIDS project: towards global halting of HIV/AIDS

Robert J Smith, Richard Gordon
2009 BMC Public Health  
The workshop: Real Life and Second Life The OptAIDS workshop was the first of its kind: a scientific meeting held simultaneously in both a real world location and also Second Life ® http://secondlife.com  ...  A second virtual screen showed a live camera view of the audience in Toronto (Figure 3) . The all-day meeting had only a few short interruptions for technical reasons.  ...  RG set the theme in the first draft and wrote the start of the introduction and the section on the workshop. Both authors proofread and approved the final manuscript.  ... 
doi:10.1186/1471-2458-9-s1-s1 pmid:19922679 pmcid:PMC2779497 fatcat:gx4gvwzfprhnbpp7v776hobqxy

Time geography for ad-hoc shared-ride trip planning in mobile geosensor networks

Martin Raubal, Stephan Winter, Sven Teβmann, Christian Gaisbauer
2007 ISPRS journal of photogrammetry and remote sensing (Print)  
Multi-agent geosimulation in a real street network is used to demonstrate the applicability of the approach and quantitatively confirm the theoretically foreseen reduction in communication costs.  ...  We will integrate network-based algorithms and different wayfinding strategies to assist both shared-ride clients and hosts in finding optimal travel assignments.  ...  For example, if two persons want to meet at a Cafe, then they have to be there at the same time.  ... 
doi:10.1016/j.isprsjprs.2007.03.005 fatcat:sscfgrbd6rh2favz246ak4a2a4

Markov Chain–Based Stochastic Strategies for Robotic Surveillance

Xiaoming Duan, Francesco Bullo
2020 Annual Review of Control Robotics and Autonomous Systems  
We then discuss the two main criteria regarding the speed and unpredictability of surveillance strategies.  ...  This article surveys recent advancements in strategy designs for persistent robotic surveillance tasks, with a focus on stochastic approaches.  ...  . , n} be the locations of the two agents at time t ∈ {0, 1, 2, . . . }, respectively.  ... 
doi:10.1146/annurev-control-071520-120123 fatcat:kkn5mnjsyva6npgmuvt65ecppy

Using coevolution to understand and validate game balance in continuous games

Ryan Leigh, Justin Schonfeld, Sushil J. Louis
2008 Proceedings of the 10th annual conference on Genetic and evolutionary computation - GECCO '08  
We attack the problem of game balancing by using a coevolutionary algorithm to explore the space of possible game strategies and counter strategies.  ...  We define balanced games as games which have no single dominating strategy. Balanced games are more fun and provide a more interesting strategy space for players to explore.  ...  Additionally, an adaptive agent can meet the needs of players of different skill levels by choosing strategies the player will do better against [3, 4] .  ... 
doi:10.1145/1389095.1389394 dblp:conf/gecco/LeighSL08 fatcat:4fxj2iyp35abnc35dxc4it3jvq

Evaluation of Airport Capacity through Agent Based Simulation

Yang Peng, Gao Wei, Sun Junqing, Sun Bin
2014 International Journal of Grid and Distributed Computing  
The proposed agent based architecture is a microscopic model of aircrafts' movement; each aircraft is represented as an agent capable of getting its routing results from instructing agent, and makes its  ...  An example of airport capacity evaluation is given, and the result is verified through comparison with SIMMOD. Finally, further research is applied to analysis the reason for delay.  ...  Acknowledgements This work is financially supported by National Nature Science Foundation of China under the Grants 61039001, and National Science technology Support Plan Projects under the Grants 2011BAH24B10  ... 
doi:10.14257/ijgdc.2014.7.6.13 fatcat:mmwrtb3tvrfvjejtg7cc4pacmu

Data Collection Strategy in Low Duty Cycle Wireless Sensor Networks with Mobile Sink

Xiaofeng Tang, Li Xie
2017 International Journal of Communications, Network and System Sciences  
The result of simulation by OPNET shows that this protocol can reduce transmission data in the network and prolong the network lifetime.  ...  When certain sensors detect an emergency, the sink catches the message quickly and moves to the hotspot to decrease message relay in the network.  ...  For 10 seconds collection, sink moves along two circles. And for 20 seconds collection, sink can access each sensor directly.  ... 
doi:10.4236/ijcns.2017.105b023 fatcat:n4dvwazu4fhqbhy2fpihcunb4u

Partitioning Vertical Evacuation Areas in Umeda Underground Mall to Minimize the Evacuation Completion Time

Ryo Yamamoto, Atsushi Takizawa
2019 The Review of Socionetwork Strategies  
The problem's performance is compared with that of the conventional problem that minimizes the total evacuation distance, and its accuracy is confirmed in a multi-agent simulation.  ...  The problem is applied to the real spatial data and evacuation setting of Umeda underground mall in Osaka, Japan.  ...  Acknowledgements This study is partially supported by Grant-in-Aid for Scientific Research (A) and JST CREST innovative algorithm foundation for big data.  ... 
doi:10.1007/s12626-019-00037-1 fatcat:vqnspqb3wvgrvcogipod4gl5le

Evaluation of Waste Anesthetic Gas in the Postanesthesia Care Unit within the Patient Breathing Zone

Kenneth N. Hiller, Alfonso V. Altamirano, Chunyan Cai, Stephanie F. Tran, George W. Williams
2015 Anesthesiology Research and Practice  
Maximum sevoflurane WAG levels in the patient breathing zone exceeded National Institute for Occupational Safety and Health (NIOSH) RELs for every 5-minute time interval measured during PACU Phase I.  ...  The aim of this pilot study was to assess sevoflurane WAG levels while accounting for factors that affect inhalational anesthetic elimination.  ...  Hagberg in the Department of Anesthesiology for their extensive support in making it possible.  ... 
doi:10.1155/2015/354184 pmid:26693222 pmcid:PMC4674584 fatcat:45rk2wtd5fa4npn5ihnalvbfam

Managing Autonomous Mobility on Demand Systems for Better Passenger Experience [chapter]

Wen Shen, Cristina Lopes
2015 Lecture Notes in Computer Science  
We introduce the Expand and Target algorithm which can be easily integrated with three different scheduling strategies for dispatching autonomous vehicles.  ...  systems for better passenger experience.  ...  The authors would like to thank Michal Jakob, Michal Certicky and Martin Schaefer for sharing the source code of the MobilityTestbed and the Agent-Polis platform, and providing other technical support  ... 
doi:10.1007/978-3-319-25524-8_2 fatcat:gwbc5j75c5ehjpqw2qb7ugqiz4

Letters to the Editor

Paul C. Reynolds, Kenneth T. Furukawa, Stephen G. Waller, Bruce K. Bohnker, Scott Thornton, Narayan Deshmukh, Elias E. Mazokopakis, Emmanuel S. Ganotakis, Christos D. Lionis
2003 Military medicine  
In austere locations, versatility of manpower and equipment are a must.  ...  The Ohmeda PAC augments the versatility of the FST's, allowing the practitioner to deliver a variety of agents: halothane, isoflurane, enflurane or diethyl ether.  ...  On the first day in each location, the FST would set up its operating room with one or two operating tables and select patients for operations on the last two days.  ... 
doi:10.1093/milmed/168.5.ii pmid:12775161 fatcat:6e2hktbltjakflckcikbfeihs4

General Deep Reinforcement Learning in NES Games

David Gregory LeBlanc, Greg Lee
2021 Proceedings of the Canadian Conference on Artificial Intelligence  
The techniques involved in general game playing with Artificial Intelligence (AI) have advanced to meet the challenges of the most popular video game and board game domains.  ...  This work explores a more complex domain (the Nintendo Entertainment System, or NES) and the associated difficulties in developing deep reinforcement learning agents for it.  ...  We observed a practised human time of 27 seconds for the first level, while our agent managed to complete the same level in 30 seconds.  ... 
doi:10.21428/594757db.8472938b fatcat:vjagixgfbncn3go47d5diyh5hy
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