|
|
|
|
|
Chang-Bae Gil and Jee-Hyong Lee
Manufacturing sites encounter various scheduling problems, which must be dealt with to efficiently manufacture products and reduce costs. With the development of smart factory technology, many elements at manufacturing sites have become unmanned and more...
ver más
|
|
|
|
|
|
|
|
|
Bhupesh Kumar Mishra, Keshav Dahal and Zeeshan Pervez
In smart cities, relief items distribution is a complex task due to the factors such as incomplete information, unpredictable exact demand, lack of resources, and causality levels, to name a few. With the development of Internet of Things (IoT) technolog...
ver más
|
|
|
|
|
|
|
|
|
Subhasis Panda, Sarthak Mohanty, Pravat Kumar Rout, Binod Kumar Sahu, Shubhranshu Mohan Parida, Hossam Kotb, Aymen Flah, Marcos Tostado-Véliz, Bdereddin Abdul Samad and Mokhtar Shouran
Demand-side management (DSM) is a significant component of the smart grid. DSM without sufficient generation capabilities cannot be realized; taking that concern into account, the integration of distributed energy resources (solar, wind, waste-to-energy,...
ver más
|
|
|
|
|
|
|
|
|
Chen Liang, Bo Yu, Wei Xie, Baosheng Wang and Wei Peng
A large number of IoT devices access the Internet. While enriching our lives, IoT devices bring potential security risks. Device identification is one effective way to mitigate security risks and manage IoT assets. Typical identification algorithms gener...
ver más
|
|
|
|
|
|
|
|
|
Jin Cao, Bo Li, Mengni Fan and Huiyu Liu
Deep neural network-based computer vision applications have exploded and are widely used in intelligent services for IoT devices. Due to the computationally intensive nature of DNNs, the deployment and execution of intelligent applications in smart scena...
ver más
|
|
|
|