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Browsing by Author "Zúñiga Cañón, Claudia L."

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    DaDDy: A data driven dynamic course table planner
    (Institute of Electrical and Electronics Engineers Inc., 2017-06-05) Cando Narváez, Efren; Luo, Xun; Zhang, Zilong; Chavez Garcia, Geovanny Dalino; Zúñiga Cañón, Claudia L.
    Crowd simulation technologies and systems can show and tell a lot of insights on massive crowds' movement behavior. Benefiting from such characteristics, they have found themselves useful in many application fields. On the other hand, a typical educational institution, such as university, has a large body of student population, whose course schedules dominate their daily movement patterns. How to arrange courses according to the school resource of building vacancy and road availability is thus an important problem to be solved by administrators. Traditional ways of arranging course tables are solely based on the consideration of faculty and students schedule availability, often causing road congestions on campus. Furthermore, such arrangements may not be optimized for emergency situations, under which student crowds need to be evacuated. Enlightened by these observations, we designed and implemented a system dubbed as DaDDy Planner (Data Driven Dynamic Planner) which allows school administrators to compare multiple planning solutions of course table visually. Our system makes use of crow simulation and shows advantage in usability as well as efficiency.
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    From great wall to the andes: Sino-Latin America collaborations on urban computing, virtual reality, and visualization research
    (Institute of Electrical and Electronics Engineers Inc., 2016-06-05) Xun Luo, Xun; Wu, Wei; Zúñiga Cañón, Claudia L.; Lozano Garzón, Carlos
    During the past couple years, several Chinese and Latin American research communities have established and strengthened notable collaborative ties, in the fields of urban computing, virtual reality and visualization. These endeavors culminate in 2016 as the Sino-Latin America Birds of a Feather (SLA-BOF) event at the International Conference on Virtual Reality and Visualization (ICVRV). In this event chairs' report, we present overview of the history, status quo and ongoing initiatives about such collaborations. We encourage more institutions to join this international joint effort.
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    How parallelization helps crowd simulation: Study of an OpenMP-Based system
    (Institute of Electrical and Electronics Engineers Inc., 2017-06-05) Lobo Hernández, Edwin; Luo, Xun; Alomía Peñafiel, Gustavo; Liu, Nan; Zúñiga Cañón, Claudia L.
    This paper analyzes the parallelization efficiency of Menge [1], an open source virtual crowd simulation system widely used for algorithm benchmarking, with focuses on three aspects: performance of the existing parallel processing scheme, bottleneck of parallel processing, and improvement opportunities for parallel efficiency of the system. First, we calculate the speedup ratio of each Menge module by analyzing the data collected under with and without OpenMP scenarios. We then identify the bottleneck of the parallel computing from the empirical study. Secondly, the possibility of improving the performance through hardware configuration is analyzed by testing the performance of the system on different computers which have the similar clock frequencies but different number of cores. The experimental results show that there is still plenty of room for improvement in the parallelization performance of the system.

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