Titlebook: Collaborative Computing: Networking, Applications and Worksharing; 14th EAI Internation Honghao Gao,Xinheng Wang,Muddesar Iqbal Conference

LINES

Sexual Difference in European Cinema payload and fast convergence in various network environments. Numerical results reveal our novel strategy performs well across different network scenarios in terms of convergence and payload cost, showing its robustness, adaptive capability and potential applications in UAV swarms.

爆米花

驚惶

CLAM

Detonate

Collaborative Workflow Scheduling over MANET, a User Position Prediction-Based Approachrresponding shared resources and consequently impact the success rate of workflows. In this paper, we propose a reliability-aware mobile workflow scheduling approach based on prediction of mobile users’ positions. We model the scheduling problem as a multi-objective optimization problem and develop

nonplus

Worker Recommendation with High Acceptance Rates in Collaborative Crowdsourcing Systems requesters and workers. And also, to accurately measure the matching degree between tasks and workers, a comprehensive and practical task matching mechanism has been presented by incorporating time matching, skill matching, payment matching, and location matching. Finally, extensive simulations and

Anthem

Exploring Influence Maximization in Location-Based Social Networkslem in LBSNs and present an algorithm obtaining an approximation factor of .) in near-linear expected time. The experimental results show that the algorithm is efficient meanwhile offering strong theoretical guarantees.

Myocarditis

Recommending More Suitable Music Based on Users’ Real Contextd is applied to discover the optimal features for the following recommendation. Second, we construct different feature groups according to the feature weights and introduce Naive Bayes model and Adaboost algorithm to train these feature groups, which will output a base classifier for each feature gr

ALE

A Location Spoofing Detection Method for Social Networks (Short Paper)isiting probability is combined to quantize the probability of location spoofing. Experiments on a large scale and real-world LBSN dataset collected from Weibo show that the proposed approach can effectively detect certain types of location spoofing.

不能平靜

The Parallel and Precision Adaptive Method of Marine Lane Extraction Based on QuadTreend obtaining a new grid result with different size. The sliding local window filtering algorithm based on the QuadTree is proposed to obtain the marine lane grid set data. Applying the Delaunay triangulation method on the grid data, the multi-precision marine lane results are effectively extracted.