In this study, we propose a novel framework for detecting abnormal events in surveillance videos, a critical yet challenging task in security applications. This research introduces a robust and efficient solution for ...
详细信息
The traditional multi-access edge computing (MEC) capacity isoverwhelmed by the increasing demand for vehicles, leading to acute degradationin task offloading performance. There is a tremendous number ofresource-rich ...
详细信息
The traditional multi-access edge computing (MEC) capacity isoverwhelmed by the increasing demand for vehicles, leading to acute degradationin task offloading performance. There is a tremendous number ofresource-rich and idle mobile connected vehicles (CVs) in the traffic network,and vehicles are created as opportunistic ad-hoc edge clouds to alleviatethe resource limitation of MEC by providing opportunistic computing *** this basis, a novel scalable system framework is proposed in thispaper for computation task offloading in opportunistic CV-assisted *** this framework, opportunistic ad-hoc edge cloud and fixed edge cloudcooperate to form a novel hybrid cloud. Meanwhile, offloading decision andresource allocation of the user CVs must be ascertained. Furthermore, thejoint offloading decision and resource allocation problem is described asa Mixed Integer Nonlinear Programming (MINLP) problem, which optimizesthe task response latency of user CVs under various constraints. Theoriginal problem is decomposed into two subproblems. First, the Lagrangedual method is used to acquire the best resource allocation with the fixedoffloading decision. Then, the satisfaction-driven method based on trial anderror (TE) learning is adopted to optimize the offloading decision. Finally, acomprehensive series of experiments are conducted to demonstrate that oursuggested scheme is more effective than other comparison schemes.
Flood disasters pose significant threats to human lives and infrastructure, necessitating advanced methods for the timely and accurate monitoring of water levels in rivers. This study introduces an innovative approach...
详细信息
The Internet of Things (IoT) extends the reach of the Internet by allowing intelligent devices to discover and connect with the actual surroundings, as well as interact with other physical entities. Software Defined N...
详细信息
A Twitter account was made with the efficient use of a conversation bot as its main goal, and it has since accumulated followers consistently and automatically. Software systems can be interfaced with using a wide var...
详细信息
In the realm of autonomous driving, traffic sign recognition (TSR) is of utmost importance since it is crucial to the ability of driverless cars to read and understand both permanent and roadside temporary signs that ...
详细信息
This research introduces a novel mobile application that employs augmented reality (AR) to enhance user engagement with weather information. By integrating Unreal Engine for advanced 3D visualization and React Native ...
详细信息
FL-LR, or Federated Learning Logistic Regression, enhances cybersecurity by using Federated Learning to detect malware in executable files. This approach allows decentralized devices to collaborate on training a Logis...
详细信息
Psychometric evaluation evaluates the information, abilities, capacity and persona trends of someone being assessed. Since many youngsters are joined in faculty earlier than they meet the specified age criteria, they ...
详细信息
Internet-of-things is one of the prominent communication technologies in the 21st century. We can connect everyday objects, like baby monitors, thermostats, e-health, etc., Connecting IoT with Software-defined network...
详细信息
暂无评论