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This white paper discusses how market trends, the need for increased productivity, and new legislation have
accelerated the use of safety systems in industrial machinery. This TÜV-qualified FPGA design methodology is
changing the paradigms of safety designs and will greatly reduce development effort, system complexity, and time to
market. This allows FPGA users to design their own customized safety controllers and provides a significant
competitive advantage over traditional microcontroller or ASIC-based designs.
Introduction
The basic motivation of deploying functional safety systems is to ensure safe operation as well as safe behavior in
cases of failure. Examples of functional safety systems include train brakes, proximity sensors for hazardous areas
around machines such as fast-moving robots, and distributed control systems in process automation equipment such
as those used in petrochemical plants.
The International Electrotechnical Commission’s standard, IEC 61508: “Functional safety of
electrical/electronic/programmable electronic safety-related systems,” is understood as the standard for designing
safety systems for electrical, electronic, and programmable electronic (E/E/PE) equipment. This standard was
developed in the mid-1980s and has been revised several times to cover the technical Advances in various industries.
In addition, derivative standards have been developed for specific markets and applications that prescribe the
particular requirements on functional safety systems in these industry applications. Example applications include
process automation (IEC 61511), machine automation (IEC 62061), transportation (railway EN 50128), medical (IEC
62304), automotive (ISO 26262), power generation, distribution, and transportation.
圖Figure 1. Local Safety System
標簽：
FPGA
安全系統
上傳時間：
2013-11-14
上傳用戶：zoudejile
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The exacting technological demands created byincreasing bandwidth requirements have given riseto significant Advances in FPGA technology thatenable engineers to successfully incorporate highspeedI/O interfaces in their designs. One aspect ofdesign that plays an increasingly important role isthat of the FPGA package. As the interfaces get fasterand wider, choosing the right package has becomeone of the key considerations for the systemdesigner.
標簽：
Virtex
247
WP
高級封裝
上傳時間：
2013-11-07
上傳用戶：wanghui2438
-
最新的支持向量機工具箱，有了它會很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999.
標簽：
支持向量機
工具箱
上傳時間：
2013-12-16
上傳用戶：亞亞娟娟123
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In 1960, R.E. Kalman published his famous paper describing a recursive solution
to the discrete-data linear filtering problem. Since that time, due in large part to Advances
in digital computing, the Kalman filter has been the subject of extensive research
and application, particularly in the area of autonomous or assisted
navigation.
標簽：
R.E.
discrete-dat
describing
published
上傳時間：
2015-10-22
上傳用戶：2404
-
In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata
linear filtering problem [Kalman60]. Since that time, due in large part to Advances in digital
computing, the
Kalman filter
has been the subject of extensive research and application,
particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the
general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete
introductory discussion can be found in [Sorenson70], which also contains some interesting
historical narrative.
標簽：
R.E.
discretedata
describing
published
上傳時間：
2015-10-22
上傳用戶：a673761058
-
ieee投稿須知，The IEEE Transactions on Information Technology in Biomedicine publishes high
quality applications & infrastructure papers that reflect global information technology
Advances in medicine and biology and will further address the implementation and management of the broad spectrum of health care innovations arising from these developments world-wide
標簽：
ieee
上傳時間：
2016-08-29
上傳用戶：zhouli
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Real-Time Design Patterns: Robust Scalable Architecture for Real-Time Systems. In this book, Bruce Douglass illustrates for the first time how two important contemporary software
engineering Advances鈥攑atterns and the UML鈥攃an be applied advantageously to the concepts and
techniques traditionally used in mainstream real-time software.
標簽：
Real-Time
Architecture
Patterns
Scalable
上傳時間：
2013-12-13
上傳用戶：6546544
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A major societal challenge for the decades to come will be the delivery of effective
medical services while at the same time curbing the growing cost of healthcare.
It is expected that new concepts-particularly electronically assisted healthcare will
provide an answer. This will include new devices, new medical services as well
as networking. On the device side, impressive innovation has been made possible
by micro- and nanoelectronics or CMOS Integrated Circuits. Even higher accuracy
and smaller form factor combined with reduced cost and increased convenience
of use are enabled by incorporation of CMOS IC design in the realization of biomedical
systems. The compact hearing aid devices and current pacemakers are
good examples of how CMOS ICs bring about these new functionalities and services
in the medical field. Apart from these existing applications, many researchers
are trying to develop new bio-medical solutions such as Artificial Retina, Deep
Brain Stimulation, and Wearable Healthcare Systems. These are possible by combining
the recent Advances of bio-medical technology with low power CMOS IC
technology.
標簽：
Medical
CMOS
Bio
IC
上傳時間：
2017-02-06
上傳用戶：linyj
-
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.
標簽：
Embedded
Internet
Wireless
6LoWPAN
The
上傳時間：
2020-05-26
上傳用戶：shancjb
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Use of multiple antennas at both ends of wireless links is the result of the
natural progression of more than four decades of evolution of adaptive
antenna technology. Recent Advances have demonstrated that multiple-
input-multiple-output (MIMO) wireless systems can achieve impressive
increases in overall system performance.
標簽：
Technology
System
MIMO
上傳時間：
2020-05-28
上傳用戶：shancjb
