Papers

@conference{Krontiris:2016aa,
title = {Acumen: Activity-Centric Crowd Authoring Using Influence Maps},
author = {A Krontiris and K Bekris and M Kapadia},
url = {https://www.cs.rutgers.edu/~kb572/pubs/acumen_casa_2016.pdf},
year = {2016},
date = {2016-05-01},
booktitle = {29th International Conference on Computer Animation and Social Agents (CASA)},
address = {Geneva, Switzerland},
abstract = {Heterogeneity in virtual crowds is crucial for many applications, including visual effects, games, and security simulations. Nevertheless, tweaking the behavior parameters of a character to achieve crowd heterogeneity is frequently hard. In particular, it is typically unclear how tuning some non-intuitive parameters at the agent level will eventually affect both the microscopic or macroscopic scale of the crowd. This paper proposes an activity-centric framework for authoring functional, heterogeneous virtual crowds in semantically meaningful environments. The specification of locations as environmental attractors and agent desires are used to compute "influence maps", which allow the emergence of heterogeneous behaviors in a large virtual crowd in a complex scene. The same framework can also facilitate the authoring of complex group behaviors, such as following behaviors or families, by treating moving agents as attractors. Accompanying results demonstrate the framework's potential by authoring crowds in different environments. The experiments highlight the ability to easily orchestrate purposeful, heterogeneous crowd activities both at a macroscopic and microscopic level with minimal parameter tuning.},
keywords = {Other},
pubstate = {published},
tppubtype = {conference}
}

@conference{Yuksel:2010fk,
title = {Open Cyber-Architecture for Electrical Energy Markets},
author = {M Yuksel and K Bekris and C Evrenosoglu and M Gunes and S Fadali and M Etezadi-Amoli and F Harris},
url = {http://www.cs.rutgers.edu/~kb572/pubs/open_grid_architecture_0.pdf},
year = {2010},
date = {2010-10-01},
booktitle = {1st IEEE LCN Workshop on Smart Grid Networking Infrastructure},
address = {Denver, Colorado, USA},
abstract = {Automated control and management of large-scale physical systems is a challenging problem in a wide variety of applications including: power grids, transportation networks, and telecommunication networks. Such systems require (i) data collection, (ii) secure data transfer to processing centers, (iii) data processing, and (iv) timely decision making and control actions. These tasks are complicated by the vast amount of data, the distributed sources of data, and the need for efficient data communication. In addition, large physical systems are often subdivided into separately owned subsystems. This multi- owner structure imposes physical, economic, market, and political constraints on the data transfer. These divisions make systems vulnerable to potential coordinated attacks. Defending against such attacks requires the infrastructures to be more automated and self-healing. Motivated by the challenge of a more efficient, secure and robust power grid, which is less vulnerable to blackouts due to cascaded events, this paper discusses some of the fundamental problems in designing future cyber-physical systems.},
keywords = {Other},
pubstate = {published},
tppubtype = {conference}
}