Internet of Things (IoT) [26] is a new networking paradigm for cyber-physical
systems that allow physical objects to collect and exchange data. In the IoT, physical
objects and cyber-agents can be sensed and controlled remotely across existing
network infrastructure, which enables the integration between the physical world
and computer-based systems and therefore extends the Internet into the real world.
IoT can find numerous applications in smart housing, environmental monitoring,
medical and health care systems, agriculture, transportation, etc. Because of its
significant application potential, IoT has attracted a lot of attention from both
academic research and industrial development.
標(biāo)簽：
Technologies
Internet
Things
RFID
for
of
上傳時(shí)間：
2020-06-08
上傳用戶：shancjb
Although state of the art in many typical machine learning tasks, deep learning
algorithmsareverycostly interms ofenergyconsumption,duetotheirlargeamount
of required computations and huge model sizes. Because of this, deep learning
applications on battery-constrained wearables have only been possible through
wireless connections with a resourceful cloud. This setup has several drawbacks.
First, there are privacy concerns. Cloud computing requires users to share their raw
data—images, video, locations, speech—with a remote system. Most users are not
willing to do this. Second, the cloud-setup requires users to be connected all the
time, which is unfeasible given current cellular coverage. Furthermore, real-time
applications require low latency connections, which cannot be guaranteed using
the current communication infrastructure. Finally, wireless connections are very
inefficient—requiringtoo much energyper transferredbit for real-time data transfer
on energy-constrained platforms.
標(biāo)簽：
Embedded_Deep_Learning
Algorithms
上傳時(shí)間：
2020-06-10
上傳用戶：shancjb
