The continuing explosive growth in mobile communication is demanding more spectrally
efficient radio access technologies than the prevalent second generation (2G) systems such as
GSM to handle just the voice traffic. We are already witnessing high levels of mobile
penetration exceeding 70% in some countries. It is anticipated that by 2010 more than half of
all communications will be carried out by mobile cellular networks. On the other hand, the
information revolution and changing life habits are bringing the requirement of commu-
nicating on a multimedia level to the mobile environment. But the data handling capabilities
and flexibility of the 2G cellular systems are limited.
The use of optical free-space emissions to provide indoor wireless commu-
nications has been studied extensively since the pioneering work of Gfeller
and Bapst in 1979 [1]. These studies have been invariably interdisciplinary in-
volving such far flung areas such as optics design? indoor propagation studies?
electronics design? communications systems design among others. The focus
of this text is on the design of communications systems for indoor wireless
optical channels. Signalling techniques developed for wired fibre optic net-
works are seldom efficient since they do not consider the bandwidth restricted
nature of the wireless optical channel.
In this research, we have designed, developed implemented a wireless sensor
networks based smart home for safe, sound and secured living environment for
any inhabitant especially elderly living alone. We have explored a methodology
for the development of efficient electronic real time data processing system to
recognize the behaviour of an elderly person. The ability to determine the
wellness of an elderly person living alone in their own home using a robust,
flexible and data driven artificially intelligent system has been investigated. A
framework integrating temporal and spatial contextual information for
determining the wellness of an elderly person has been modelled. A novel
behaviour detection process based on the observed sensor data in performing
essential daily activities has been designed and developed.
In order to enhance the efficiency and reliability of the power grid, diversify energy
resources, improve power security, and reduce greenhouse gas emission, many
countries have been putting great efforts in designing and constructing their smart
grid(SG) infrastructures.Smart gridcommunicationsnetwork(SGCN) is oneof the
key enabling technologies of the SG. However, a successful implementation of an
efficient and cost-effective SGCN is a challenging task
The basic topic of this book is solving problems from system and control theory using
convex optimization. We show that a wide variety of problems arising in system
and control theory can be reduced to a handful of standard convex and quasiconvex
optimization problems that involve matrix inequalities. For a few special cases there
are “analytic solutions” to these problems, but our main point is that they can be
solved numerically in all cases. These standard problems can be solved in polynomial-
time (by, e.g., the ellipsoid algorithm of Shor, Nemirovskii, and Yudin), and so are
tractable, at least in a theoretical sense. Recently developed interior-point methods
for these standard problems have been found to be extremely efficient in practice.
Therefore, we consider the original problems from system and control theory as solved.
Recent work has shown that convolutional networks can
be substantially deeper, more accurate, and efficient to train
if they contain shorter connections between layers close to
the input and those close to the output. In this paper, we
embrace this observation and introduce the Dense Convo-
lutional Network (DenseNet), which connects each layer
to every other layer in a feed-forward fashion.
The PW5300 is a current mode boost DC-DC converter. Its PWM circuitry with built-in 0.2? powerMOSFET make this regulator highly power efficient. The internal compensation network alsominimizes as much as 6 external component counts. The non-inverting input of error amplifierconnects to a 0.6V precision reference voltage and internal soft-start function can reduce the inrushcurrent. The PW5300 is available in the SOT23-6L package and provides space-saving PCB for theapplication fields
The PW5200A/ PW5200C is high efficiency synchronous, PWM step-up DC/DC converters optimizedto provide a high efficient solution to medium power systems. The devices work with a 1.4MHz fixedfrequency switching. These features minimize overall solution footprint by allowing the use of tiny,low profile inductors and ceramic capacitors. Automatic PWM/PFM mode switching at light loadsaves power and improves efficiency
The PW2301A uses advanced trench It utilizes the latest processing techniques to achieve the highcell density and reduces the on-resistance with high repetitive avalanche rating. These featurescombine to make this design an extremely efficient and reliable device for use in power switchingapplication and a wide variety of other applications
近距電能傳輸——高效安全近距電能傳輸一般基于電磁感應原理進行。在此技術基礎上，當接收器鄰近發射器時才會進行電能傳輸。電磁感應技術的歷史長達百年，多年米一直應用于各類電子產品中—如此普及全因其簡單、高效以及安全技術概覽以下將為你簡要介紹無線電能傳輸技術。System Overview(Communication)Receiver sends messagesTo provide control information to the transmitterBy load modulation on the power signaTransmitter receives messagesTo receive control information frorn the recelverBy de-modulation of the reflected loadPower Pick Up( Receiver)Secondary coil (L Serial resonance capacitor (C) for efficient power transfer Parallel resonance capacitor(C, )for detection purposes Rectifier: full bridge(diode, or switched)+ capacitor Output switch for(dis)connecting the loadReceiver modulates load by Switching modulation resistor(R,n),or Switching modulation capacitor(Ca)Transmitter de-modulates reflected load by Sensing pnmary coil curent (p)and/o Sensing primary coil voltage (V,
