Your Cisco Networking Academy Course Booklet is designed as a study resource you can easily read, high-
light, and review on the go, wherever the Internet is not available or practical:
■ The text is extracted directly, word-for-word, from the online course so you can highlight important
points and take notes in the “Your Chapter Notes” section.
■ Headings with the exact page correlations provide a quick reference to the online course for your class-
room discussions and exam preparation.
■ An icon system directs you to the online curriculum to take full advantage of the imAGEs, labs, Packet
Tracer activities, and dynamic Flash-based activities embedded within the Networking Academy online
course interface.
標簽：
Switching
Wireless
LAN
and
上傳時間：
2020-05-27
上傳用戶：shancjb
Wireless networking is undergoing a transformation from what has
been primarily a medium for supporting voice traffic between telephones,
into what is increasingly becoming a medium for supporting traffic among
a variety of digital devices transmitting media of many types (voice,
data, imAGEs, video. etc.) Wireline networking underwent a similar
transformation in the 1990s, which led to an enormous build-up in the
capacity of such networks, primarily through the addition of new optical
fiber, switches and other infrastructure.
標簽：
Multiusers
Detection
Wireless
Networks
上傳時間：
2020-06-01
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.
標簽：
Embedded_Deep_Learning
Algorithms
上傳時間：
2020-06-10
上傳用戶：shancjb
