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Radio frequency identification (RFID) is a type of automatic identification systems
which has gained popularity in Recent years for being fast and reliable in keeping
track of the individual objects. In RFID systems, contactless object identification
is achieved using radio signals without the need for physical contact as the case
with other existing identification technologies such as barcodes. Therefore, a huge
number of items can be identified in a short amount of time with high reliability
and low cost which makes the RFID technology very attractive for a wide range of
applications such as supply chain management, e-health, monitoring humans, pets,
animals, and many other objects, toll control, and electrical tagging. Furthermore,
RFID technology eliminates the human error and reduces the total cost of the
products.
標簽：
Security
RFID
上傳時間：
2020-06-08
上傳用戶：shancjb
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With more than two billion terminals in commercial operation world-wide, wire-
less and mobile technologies have enabled a first wave of pervasive communication
systems and applications. Still, this is only the beginning as wireless technologies
such as RFID are currently contemplated with a deployment potential of tens of
billions of tags and a virtually unlimited application potential. A Recent ITU report
depicts a scenario of “Internet of things” — a world in which billions of objects will
report their location, identity, and history over wireless connections.
標簽：
Internet
Things
From
The
RFI
of
上傳時間：
2020-06-08
上傳用戶：shancjb
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Control systems are becoming more important every day. At the beginning, the in-
dustry used sequential controls for solving a lot of industrial applications in control
systems, and then the linear systems gave us a huge increase in applying automatic
linear control on industrial application. One of the most Recent methods for control-
ling industrial applications is intelligent control, which is based on human behavior
or concerning natural process.
標簽：
Intelligent
Control
Systems
LabVIEW
with
上傳時間：
2020-06-10
上傳用戶：shancjb
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Recent years have seen a rapid development of neural network control tech-
niques and their successful applications. Numerous simulation studies and
actual industrial implementations show that artificial neural network is a good
candidate for function approximation and control system design in solving the
control problems of complex nonlinear systems in the presence of different kinds
of uncertainties. Many control approaches/methods, reporting inventions and
control applications within the fields of adaptive control, neural control and
fuzzy systems, have been published in various books, journals and conference
proceedings.
標簽：
Stable_adaptive_neural_network_co
ntrol
上傳時間：
2020-06-10
上傳用戶：shancjb
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n Recent years, there have been many books published on power system optimization.
Most of these books do not cover applications of artifi cial intelligence based methods.
Moreover, with the Recent increase of artifi cial intelligence applications in various fi elds,
it is becoming a new trend in solving optimization problems in engineering in general
due to its advantages of being simple and effi cient in tackling complex problems. For this
reason, the application of artifi cial intelligence in power systems has attracted the interest
of many researchers around the world during the last two decades. This book is a result
of our effort to provide information on the latest applications of artifi cial intelligence
to optimization problems in power systems before and after deregulation.
標簽：
Intelligence
Artificial
System
Power
in
上傳時間：
2020-06-10
上傳用戶：shancjb
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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.
標簽：
Convolutional
Connected
Networks
Densely
上傳時間：
2020-06-10
上傳用戶：shancjb
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It all started rather innocuously. I walked into Dr GT Murthy’s office one fine day, andchanged my life. “Doc” was then the General Manager, Central R&D, of a very largeelectrical company headquartered in Bombay. In his new state-of-the-art electronics center,he had hand-picked some of India’s best engineers (over a hundred already) ever assembledunder one roof. Luckily, he too was originally a Physicist, and that certainly helped me gainsome empathy. Nowadays he is in retirement, but I will always remember him as athoroughly fair, honest and facts-oriented person, who led by example. There were severalthings I absorbed from him that are very much part of my basic engineering persona today.You can certainly look upon this book as an extension of what Doc started many years agoin India … because that’s what it really is! I certainly wouldn’t be here today if I hadn’t metDoc. And in fact, several of the brash, high-flying managers I’ve met in Recent years,desperately need some sort of crash course in technology and human values from Doc!
標簽：
開關電源
上傳時間：
2021-11-23
上傳用戶：
-
近年來反季節種植已成火熱趨勢,溫室大棚的普及十分迅速,而溫室大棚對自動化、智能化的要求也越來越迫切,本系統將溫室大棚的溫濕度、二氧化碳濃度各個方面的檢測,通風、澆灌、溫度、噴灑農藥等各個方面的控制進行綜合系統研究,實現溫室大棚對自動化、智能化的要求。這一系統是基于單片機控制的智能檢測,控制系統包含單片機主控模塊、感應檢測模塊、傳感模塊,顯示、控制模塊等[1]。從而提高溫室大棚的種植效率,減少勞動力,提高利潤等。In Recent years,counter-season planting has become a hot trend featuring the rapid popularization of greenhouse and urgent requirement for the automation and intellectualization of greenhouse.This paper offers a comprehensive and systematic study of the monitoring of temperature,humidity and carbon dioxide concentration in the greenhouse and the control of ventilation,irrigation,temperature and pesticide spraying in order to achieve automation and intellectualization in greenhouse.This system is based on the intelligent detection controlled by single chip computer with the control system including the main control module,induction detection module,sensing module,display and control module of single chip computer,which is effective in improving planting efficiency of greenhouse,reducing labor force and increasing profits.
標簽：
智能溫室大棚
控制系統
上傳時間：
2022-03-27
上傳用戶：
