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Describing the relevant detection and estimation theory, this detailed guide provides
the background knowledge needed to tackle the design of practical WLAN positioning
systems. It sets out key system-level Challenges and design considerations in increasing
positioningaccuracyandreducingcomputationalcomplexity,examinesdesigntradeoffs,
and presents experimental results.
標(biāo)簽：
Positioning
Systems
WLAN
上傳時(shí)間：
2020-06-01
上傳用戶：shancjb
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The Challenges associated with the design and implementation of Electro-
static Discharge (ESD) protection circuits become increasingly complex as
technology is scaled well into nano-metric regime. One must understand the
behavior of semiconductor devices under very high current densities, high
temperature transients in order to surmount the nano-meter ESD challenge.
As a consequence, the quest for suitable ESD solution in a given technology
must start from the device level. Traditional approaches of ESD design may
not be adequate as the ESD damages occur at successively lower voltages in
nano-metric dimensions.
標(biāo)簽：
Protection
Circuit
Device
Design
ESD
and
上傳時(shí)間：
2020-06-05
上傳用戶：shancjb
-
This paper reviews key factors to practical ESD
protection design for RF and analog/mixed-signal (AMS) ICs,
including general Challenges emerging, ESD-RFIC interactions,
RF ESD design optimization and prediction, RF ESD design
characterization, ESD-RFIC co-design technique, etc. Practical
design examples are discussed. It means to provide a systematic
and practical design flow for whole-chip ESD protection design
optimization and prediction for RF/AMS ICs to ensure 1 st Si
design success.
標(biāo)簽：
ESD_protection_for_RF_and_AMS_ICs
上傳時(shí)間：
2020-06-05
上傳用戶：shancjb
-
Resource allocation is an important issue in wireless communication networks. In
recent decades, cognitive radio technology and cognitive radio-based networks have
obtained more and more attention and have been well studied to improve spectrum
utilization and to overcomethe problem of spectrum scarcity in future wireless com-
munication systems. Many new Challenges on resource allocation appear in cogni-
tive radio-based networks. In this book, we focus on effective solutions to resource
allocation in several important cognitive radio-based networks, including a cogni-
tive radio-basedopportunisticspectrum access network, a cognitiveradio-basedcen-
tralized network, a cognitive radio-based cellular network, a cognitive radio-based
high-speed vehicle network, and a cognitive radio-based smart grid.
標(biāo)簽：
Cognitive
Networks
Radio
上傳時(shí)間：
2020-06-07
上傳用戶：shancjb
-
Battery systems for energy storage are among the most relevant technologies of the
21 st century. They – in particular modern lithium-ion batteries (LIB) – are enablers
for the market success of electric vehicles (EV) as well as for stationary energy
storage solutions for balancing fluctuations in electricity grids resulting from the
integrationofrenewableenergysourceswithvolatilesupply 1 .BothEVandstationary
storage solutions are important because they foster the transition from the usage
of fossil energy carriers towards cleaner renewable energy sources. Furthermore,
EV cause less local air pollution and noise emissions compared to conventional
combustion engine vehicles resulting in better air quality especially in urban areas.
Unfortunately, to this day, various technological and economic Challenges impede a
broad application of batteries for EV as well as for large scale energy storage and
load leveling in electricity grids.
標(biāo)簽：
Multiscale
Simulation
Approach
上傳時(shí)間：
2020-06-07
上傳用戶：shancjb
-
This book provides a comprehensive overview of the technology behind the pico-solar revolution
and offers guidance on how to test and choose quality products. The book also discusses how
pioneering companies and initiatives are overcoming Challenges to reach scale in the market-
place, from innovative distribution strategies to reach customers in rural India and Tanzania,
to product development in Cambodia, product assembly in Mozambique and the introduction
of ‘pay as you go’ technology in Kenya.
標(biāo)簽：
Pico-solar
Electric
Systems
上傳時(shí)間：
2020-06-07
上傳用戶：shancjb
-
n present power system, the engineers face variety of Challenges in
planning, construction and operation. In some of the problems, the engineers need
to use managerial talents. In system design or upgrading the entire system into
automatic control instead of slow response of human operator, the engineers need
to exercise more technical knowledge and experience. It is principally the engi-
neer’s ability to achieve the success in all respect and provide the reliable and
uninterrupted service to the customers. This chapter covers some important areas
of the traditional power system that helps engineers to overcome the Challenges. It
emphasizes the characteristics of the various components of a power system such
as generation, transmission, distribution, protection and SCADA system. During
normal operating conditions and disturbances, the acquired knowledge will pro-
vide the engineers the ability to analyse the performance of the complex system
and execute future improvement
標(biāo)簽：
Smart
Grids
上傳時(shí)間：
2020-06-07
上傳用戶：shancjb
-
stract
With global drivers such as better energy
consumption, energy efficiency and reduction of
greenhouse gases, CO 2 emission reduction has become
key in every layer of the value chain. Power Electronics
has definitely a role to play in these thrilling Challenges.
From converters down to compound semiconductors,
innovation is leading to breakthrough technologies. Wide
BandGap, Power Module Packaging, growth of Electric
Vehicle market will game change the overall power
electronic industry and supply chain. In this presentation
we will review power electronics trends, from
technologies to markets.
標(biāo)簽：
Electronics
Materials
Power
WBG
for
上傳時(shí)間：
2020-06-07
上傳用戶：shancjb
-
RFID is at a critical price point that could enable its large-scale adoption.
What strengths are pushing it forward? What technical Challenges and
privacy concerns must we still address?
標(biāo)簽：
an-introduction-to-rfid-technolog
上傳時(shí)間：
2020-06-08
上傳用戶：shancjb
-
The past decade has seen an explosion of machine learning research and appli-
cations; especially, deep learning methods have enabled key advances in many
applicationdomains,suchas computervision,speechprocessing,andgameplaying.
However, the performance of many machine learning methods is very sensitive
to a plethora of design decisions, which constitutes a considerable barrier for
new users. This is particularly true in the booming field of deep learning, where
human engineers need to select the right neural architectures, training procedures,
regularization methods, and hyperparameters of all of these components in order to
make their networks do what they are supposed to do with sufficient performance.
This process has to be repeated for every application. Even experts are often left
with tedious episodes of trial and error until they identify a good set of choices for
a particular dataset.
標(biāo)簽：
Auto-Machine-Learning-Methods-Sys
tems-Challenges
上傳時(shí)間：
2020-06-10
上傳用戶：shancjb
