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KFO（Kingdee Foundation Objects）接口是金蝶軟件采用三層結(jié)構(gòu)模式開發(fā)中經(jīng)常使用的工具包，是金蝶的資深程序員獨(dú)立開發(fā)的K/3系統(tǒng)較為核心的技術(shù)模塊。
標(biāo)簽：
KFO
金蝶
參考手冊
上傳時間：
2016-08-03
上傳用戶：pjj811981
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Accurate pose estimation plays an important role in solution of simultaneous localization and mapping (SLAM) problem, required for many robotic applications. This paper presents a new approach called R-SLAM, primarily to overcome systematic and non-systematic odometry errors which are generally caused by uneven floors, unexpected Objects on the floor or wheel-slippage due to skidding or fast turns.The hybrid approach presented here combines the strengths of feature based and grid based methods to produce globally consistent high resolution maps within various types of environments.
標(biāo)簽：
localization
environments
challenging
Resilient
mapping
R-SLAM
and
in
上傳時間：
2019-09-15
上傳用戶：zhudx2007
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Smart City Networks: Through the Internet of Things is composed of research
results, analyses, and ideas, which focus on a diversity of interconnected factors
relating with urbanization, its “smartness,” and overarching “internet of things
(IoT).” The latter refers to interconnected Objects and devices – through compu-
tational operations – which can receive signals and actuate systems.
標(biāo)簽：
Networks
Internet
Through
Things
Smart
City
上傳時間：
2020-05-26
上傳用戶：shancjb
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The Internet of Things is considered to be the next big opportunity, and challenge, for the
Internet engineering community, users of technology, companies and society as a whole. It
involves connecting embedded devices such as sensors, home appliances, weather stations
and even toys to Internet Protocol (IP) based networks. The number of IP-enabled embedded
devices is increasing rapidly, and although hard to estimate, will surely outnumber the
number of personal computers (PCs) and servers in the future. With the advances made over
the past decade in microcontroller,low-power radio, battery and microelectronic technology,
the trend in the industry is for smart embedded devices (called smart Objects) to become
IP-enabled, and an integral part of the latest services on the Internet. These services are no
longer cyber, just including data created by humans, but are to become very connected to the
physical world around us by including sensor data, the monitoring and control of machines,
and other kinds of physical context. We call this latest frontier of the Internet, consisting of
wireless low-power embedded devices, the Wireless Embedded Internet. Applications that
this new frontier of the Internet enable are critical to the sustainability, efficiency and safety
of society and include home and building automation, healthcare, energy efficiency, smart
grids and environmental monitoring to name just a few.
標(biāo)簽：
Embedded
Internet
Wireless
6LoWPAN
The
上傳時間：
2020-05-26
上傳用戶：shancjb
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This chapter introduces concepts on cooperating Objects and wireless sensor net-
works that will be used in the following chapters. It also introduces the Embedded
WiSeNts Coordination Action. Finally, it presents an overview of the book and the
relations between the following chapters.
標(biāo)簽：
Cooperating
Embedded
Systems
上傳時間：
2020-05-27
上傳用戶：shancjb
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Many wireless communications channels consist of multiple signal paths from the
transmitter to receiver. This multiplicity of paths leads to a phenomenon known
as multipath fading. The multiple paths are caused by the presence of Objects in the
physical environment that, through the mechanisms of propagation, alter the path of
radiated energy. These Objects are referred to as scatterers. In the past, researchers
often looked at ways to mitigate multipath scattering, such as in diversity systems.
Multiple-input, multiple-output (MIMO) systems, on the other hand, use multipath
diversity to their advantage; a MIMO system has the ability to translate increased
spatial diversity into increased channel capacity.
標(biāo)簽：
Multiple-Output
Multiple-Input
Channel
Models
上傳時間：
2020-05-31
上傳用戶：shancjb
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It was only a few years ago that “ubiquitous connectivity” was recognized as the future of
wireless communication systems. In the era of ubiquitous connectivity, it was expected that
the broadband mobile Internet experience would be pervasive, and seamless connectivity on
a global scale would be no surprise at all. The quality of service would be guaranteed no
matter when/where/what the users wanted with the connectivity. Connectivity would even be
extended to object-to-object communication, where no human intervention was required. All
Objects would become capable of autonomous communication.
標(biāo)簽：
Protocols
Radio
LTE-A
LTE
for
and
上傳時間：
2020-06-01
上傳用戶：shancjb
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Part I provides a compact survey on classical stochastic geometry models. The basic models defined
in this part will be used and extended throughout the whole monograph, and in particular to SINR based
models. Note however that these classical stochastic models can be used in a variety of contexts which
go far beyond the modeling of wireless networks. Chapter 1 reviews the definition and basic properties of
Poisson point processes in Euclidean space. We review key operations on Poisson point processes (thinning,
superposition, displacement) as well as key formulas like Campbell’s formula. Chapter 2 is focused on
properties of the spatial shot-noise process: its continuity properties, its Laplace transform, its moments
etc. Both additive and max shot-noise processes are studied. Chapter 3 bears on coverage processes,
and in particular on the Boolean model. Its basic coverage characteristics are reviewed. We also give a
brief account of its percolation properties. Chapter 4 studies random tessellations; the main focus is on
Poisson–Voronoi tessellations and cells. We also discuss various random Objects associated with bivariate
point processes such as the set of points of the first point process that fall in a Voronoi cell w.r.t. the second
point process.
標(biāo)簽：
Stochastic
Geometry
Networks
Wireless
Volume
and
上傳時間：
2020-06-01
上傳用戶：shancjb
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In modern societies, the production and trade of goods all around the world is
constantly increasing. The latest technological achievements allow the
mass-production of millions of items of every kind, which are being exchanged all
around the globe with unprecedented rapidity. At the same time, the problem of
identifying, classifying and tracking such a growing multitude of Objects is con-
sequently arising.
標(biāo)簽：
soltions
Antenna
design
RFID
tags
for
上傳時間：
2020-06-08
上傳用戶：shancjb
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Introduction to Radio Frequency Identification (RFID): RFID is a
wireless modulation and demodulation technique for automatic
identification of Objects, tracking goods, smart logistics, and access con-
trol. RFID is a contactless, usually short‐distance transmission and
reception technique for unique ID data transfer from a tagged object to
an interrogator (reader). The generic configuration of an RFID system
comprises (i) an ID data‐carrying tag, (ii) a reader, (iii) a middleware,
and (iv) an enterprise application.
標(biāo)簽：
Chipless_Radio_Frequency_Identifi
cation
上傳時間：
2020-06-08
上傳用戶：shancjb
