sparse 发表于 2025-3-25 04:45:56
Temporal Centrality Prediction in Opportunistic Mobile Social Networks mobility traces in Opportunistic Mobile Social Networks (OMSNs). Through real trace-driven simulations, we find that nodes’ importance is highly predictable due to natural social behaviour of human. Then, based on the observations in the simulation, we design several reasonable prediction methods t芳香一点 发表于 2025-3-25 10:12:44
A Novel Data Sharing Mechanism via Cloud-Based Dynamic Audit for Social Internet of Vehicles different interest groups to form a social network where they can facilitate to modify or share data in the cloud. A basic service for such application is ensuring data integrity and reliability in the presence of hardware/software failures or malicious activities. However, due to the highly dynamiathlete’s-foot 发表于 2025-3-25 15:36:01
http://reply.papertrans.cn/48/4726/472545/472545_23.pngoverrule 发表于 2025-3-25 15:56:36
Target Localization and Navigation with Directed Radio Sensing in Wireless Sensor Networkstigate the feasibility of a novel RF sensing based method to address the target and robot localization for situations when conventional localization means fail to deliver. Our method allows the robot to discover the location of a target sensor and execute a navigate plan using the networked RF beaco侵略主义 发表于 2025-3-25 22:52:46
http://reply.papertrans.cn/48/4726/472545/472545_25.png异常 发表于 2025-3-26 03:36:42
SANA: Safety-Aware Navigation Application for Pedestrian Protection in Vehicular Networkse smartphone usage in a street or crossroad usually causes road accidents and casualties, it is necessary to design an energy-efficient safety service for a smartphone to warn a pedestrian of possible danger. SANA provides smartphone users with such a safety service. This service calculates the coll水土 发表于 2025-3-26 04:55:26
http://reply.papertrans.cn/48/4726/472545/472545_27.pngAlveoli 发表于 2025-3-26 08:59:07
http://reply.papertrans.cn/48/4726/472545/472545_28.png多产子 发表于 2025-3-26 14:09:23
Nighttime Vehicle Detection for Heavy Trucksicles at nighttime based on symmetry of taillights, or by training a classifier. The headlights of heavy trucks are very bright which causes that taillights of a vehicle in front appear as being asymmetrical. The bright headlight also defines disturbing information that affects the training of a claEeg332 发表于 2025-3-26 17:03:35
http://reply.papertrans.cn/48/4726/472545/472545_30.png