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GoAhead WebServer 2.1.8 Release Notes
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Delphi三層數(shù)據(jù)庫(kù)連接池 (1)
Connection Pool for Delphi release notes
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This document contains:
- Short description of the product
- Other text files
- TRIAL version limitations
- Delphi - versions supported
- Installation of Connection Pool for Delphi
- Installation of Connection Pool for Delphi help file
- Ordering information
- Support and Web resources
- Thanks To
The recent developments in full duplex (FD) commu-
nication promise doubling the capacity of cellular networks using
self interference cancellation (SIC) techniques. FD small cells
with device-to-device (D2D) communication links could achieve
the expected capacity of the future cellular networks (5G). In
this work, we consider joint scheduling and dynamic power
algorithm (DPA) for a single cell FD small cell network with
D2D links (D2DLs). We formulate the optimal user selection and
power control as a non-linear programming (NLP) optimization
problem to get the optimal user scheduling and transmission
power in a given TTI. Our numerical results show that using
DPA gives better overall throughput performance than full power
transmission algorithm (FPA). Also, simultaneous transmissions
(combination of uplink (UL), downlink (DL), and D2D occur
80% of the time thereby increasing the spectral efficiency and
network capacity
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.
Artificial Intelligence (AI) has undoubtedly been one of the most important buz-
zwords over the past years. The goal in AI is to design algorithms that transform com-
puters into “intelligent” agents. By intelligence here we do not necessarily mean an
extraordinary level of smartness shown by superhuman; it rather often involves very
basic problems that humans solve very frequently in their day-to-day life. This can
be as simple as recognizing faces in an image, driving a car, playing a board game, or
reading (and understanding) an article in a newspaper. The intelligent behaviour ex-
hibited by humans when “reading” is one of the main goals for a subfield of AI called
Natural Language Processing (NLP). Natural language 1 is one of the most complex
tools used by humans for a wide range of reasons, for instance to communicate with
others, to express thoughts, feelings and ideas, to ask questions, or to give instruc-
tions. Therefore, it is crucial for computers to possess the ability to use the same tool
in order to effectively interact with humans.
說(shuō)明： 完整的電動(dòng)車防盜報(bào)警器源碼，單片機(jī)：EMC78P153S，源碼注釋清晰(Complete electric vehicle anti-theft alarm source, Microcontroller: EMC78P153S, Notes of a clear source)
