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Crowd control has been one of the important responsibilitiesfor law enforcement officers. Whether a crowdis formed for political reasons or sporting events, they canturn to be violent, disrupting public peace/order and damagingproperties in a public place. Effective and efficient crowd controltactics can keep the safety of both the innocent public and thecrowd who are involved with (violent) collective...
Residential burglary has been one of the most active research topics in the study of crime. It is also one of the most common crime types and sometimes has a long-lasting impact on victims not only financially but also psychologically. In order to understand residential burglary, many methods have been used such as analyses of crime data and national crime survey data, interviews with incarcerated...
In simulating large parallel systems, bottom-up approaches exercise detailed hardware models with effects from simplified software models or traces, whereas top-down approaches evaluate the timing and functionality of detailed software models over coarse hardware models. Here, we focus on the top-down approach and significantly advance the scale of the simulated parallel programs. Via the direct execution...
Microplasmas generated within cavities having the form of a truncated paraboloid, introduced by Kim et al. [Appl. Phys. Lett. 94, 011503 (2009)], have been simulated numerically with a two-dimensional, fluid computational model. Microcavities with parabolic sidewalls, fabricated in nanoporous alumina (Al2O3) and having upper (primary emitter) and lower apertures of 150 µm and 70 µm in diameter, respectively,...
Parallel discrete event simulation (PDES) represents a class of codes that are challenging to scale to large number of processors due to tight global timestamp-ordering and fine-grained event execution. One of the critical factors in scaling PDES is the efficiency of the underlying global virtual time (GVT) algorithm needed for correctness of parallel execution and speed of progress. Although many...
MUPI is a parallel discrete event simulator designed for enabling software-based experimentation via simulated execution across a range of synthetic to unmodified parallel programs using the Message Passing Interface (MPI) with millions of tasks. Here, we report work in progress in improving the efficiency of Ê . Among the issues uncovered are the scaling problems with implementing barriers and intertask...
This paper presents a new analytical performance analysis for null message-based parallel discrete event simulation(PDES). Our analysis builds upon the key operation of selecting simulation events for processing in the null message algorithms. The results not only explain the well-known facts of how the look ahead capability of individual simulation processes (called logical processes, or LPs) affect...
Stream computing is an emerging computational model for performing complex operations on and across multi-source, high volume data ?ows. Given that the deployment of the model has only started, the pool of mature applications employing this model is fairly small, and therefore the availability of workloads for various types of applications is scarce. Thus, there is a need for synthetic generation...
This paper applies a simple multiple regression based model to analyze financial data. The model uses a dummy variable as the dependent variable which could be interpreted as a predictor. The independent variables of the model are quantitative as well as qualitative. The results of the analysis support the predictive capability of the model.
Stream processing is an important emerging computational model for performing complex operations on and across multi-source, high volume, unpredictable dataflows. We present Flow, a platform for parallel and distributed stream processing system simulation that provides a flexible modeling environment for analyzing stream processing applications. The Flow stream processing system simulator is a high...
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