PROJECT TITLE :

A Framework for Generating Geospatial Social Computing Environments

ABSTRACT:

Computational social science plays an important role in emergency management from a quantitative perspective. Reconstructing an individual-based social computing environment is crucial for both accurate computational experiments and determining optimal decisions. Here, the authors propose a formalization method to define basic componential models in the artificial society and the inner logic in these models. A detailed generation process is presented, and multisource statistical data, social interactive behavior, and multilayer social networks are integrated together. As an evaluation of the proposed framework, a virtual city of Beijing is reconstructed. Each citizen is endowed with demographic attributes, including age, gender, social role, correlated geographic locations, and multiple social relations. The generated synthetic population is statistically equivalent to the real population. Transmission experiments of influenza are performed in the reconstructed computational environment, and individual daily interacting behavior is tracked and analyzed. The results indicate that the framework can provide an effective methodology to reconstruct the computing environment in high resolution by using low-resolution statistical data, leading to better prediction and management of emergencies.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE :HDM: A Composable Framework for Big Data Processing - 2018ABSTRACT:Over the past years, frameworks like MapReduce and Spark are introduced to ease the task of developing massive knowledge programs and applications.
PROJECT TITLE :SDL Saliency-Based Dictionary Learning Framework for Image Similarity - 2018ABSTRACT:In image classification, getting adequate knowledge to learn a robust classifier has usually proven to be tough in many situations.
PROJECT TITLE :Her2Net A Deep Framework for Semantic Segmentation and Classification of Cell Membranes and Nuclei in Breast Cancer Evaluation - 2018ABSTRACT:We tend to gift an economical deep learning framework for identifying,
PROJECT TITLE :Automatic Depth Extraction from 2D Images Using a Cluster-Based Learning Framework - 2018ABSTRACT:There has been a important increase in the provision of 3D players and displays in the last years. Nonetheless,
PROJECT TITLE :A Group-Based Image Inpainting Using Patch Refinement in MRF Framework - 2018ABSTRACT:This Project presents a Markov random field (MRF)-primarily based image inpainting algorithm using patch selection from teams

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry