Browsing by Author "Luo, Xun"
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Item 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.Item 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.Item Procedural modeling applied to the 3D city model of bogota: a case study(2021) Alomía, Gustavo; Loaiza, Diego; Zúñiga, Claudia; Luo, Xun; Asorey Cacheda, RafaelBackground Computer Generated Animations (CGA), when applied to three-dimensional (3D) city models (3DCM), can be used as powerful tools to support urban decision-making. This leads to a new paradigm, based on procedural modeling, that allows the integration of known urban structures. This paper introduces a new workflow for the development of high-quality approximations of urban models in a short time and enables facilities to be imported from other cities into a given city model, following specific generation rules. Thus, this workflow provides a very simple approach to observe, study, and simulate the implementation of models already developed in other cities, in a city where they are not yet adopted. Examples of these models include all types of mobility systems and urban infrastructure. This allows us to perceive the environmental impact of certain decisions in the real world, as well as to carry out simple simulations to determine the changes that can occur in the flows of people, traffic, and other city activities.Item VISNET: A study case for visualize sensor ad-hoc networks behavior(Institute of Electrical and Electronics Engineers Inc., 2019-05-23) Gonzalez, Jorge; Luo, Xun; Alomia, Gustavo; Zuñiga Cañon, Claudia L.Ad-hoc sensor networks are difficult to maintain and follow, due to the facts that networks are autonomous, and nodes are usually located in a remote place. The need to monitor and keep records of the operation of these networks motivates us to develop and implement a tool that allows not only monitoring the network but also using the data circulating in it to provide useful information to a community, either about the conditions of the environment, climate or other type of information that can be captured through sensors. This paper proposes a way to implement a visualization tool and shows the experiments performed over a wireless Ad-hoc network using temperature and humidity sensors.