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The underlying premise for Industry 4.0 is a systems approach. This
book introduces the concept of Systems 4.0 as a foundational
requirement for the success of Industry 4.0 in the same way that
Quality 4.0 has emerged to advance Industry 4.0. Systems 4.0:
Systems Foundations for Industry 4.0 discusses the role of the
professional engineer in advancing commerce and industry. It offers
an introduction to Industry 4.0 and how to leverage the digital era
to improve industrial operations. The book presents and describes
the first industrial revolution on through to the fourth revolution
and provides general systems engineering principles that can be
used with Industry 4.0. This is a practical guide for professional
engineers and consultants involved in Industrial Engineering,
Mechanical Engineering, Operations Management and can also be used
as a reference for students.
The first handbook to focus exclusively on industrial engineering
calculations with a correlation to applications, Handbook of
Industrial Engineering Equations, Formulas, and Calculations
contains a general collection of the mathematical equations often
used in the practice of industrial engineering. Many books cover
individual areas of engineering and some cover all areas, but none
covers industrial engineering specifically, nor do they highlight
topics such as project management, materials, and systems
engineering from an integrated viewpoint. Written by acclaimed
researchers and authors, this concise reference marries theory and
practice, making it a versatile and flexible resource. Succinctly
formatted for functionality, the book presents: Basic Math
Calculations Engineering Math Calculations Production Engineering
Calculations Engineering Economics Calculations Ergonomics
Calculations Facility Layout Calculations Production Sequencing and
Scheduling Calculations Systems Engineering Calculations Data
Engineering Calculations Project Engineering Calculations
Simulation and Statistical Equations It has been said that
engineers make things while industrial engineers make things
better. To make something better requires an understanding of its
basic characteristics and the underlying equations and calculations
that facilitate that understanding. To do this, however, you don't
have to be computational experts; you just have to know where to
get the computational resources that are needed. This book
elucidates the underlying equations that facilitate the
understanding required to improve design processes, continuously
improving the answer to the age-old question: What is the best way
to do a job?
The first handbook to focus exclusively on industrial engineering
calculations with a correlation to applications, Handbook of
Industrial Engineering Equations, Formulas, and Calculations
contains a general collection of the mathematical equations often
used in the practice of industrial engineering. Many books cover
individual areas of engineering and some cover all areas, but none
covers industrial engineering specifically, nor do they highlight
topics such as project management, materials, and systems
engineering from an integrated viewpoint. Written by acclaimed
researchers and authors, this concise reference marries theory and
practice, making it a versatile and flexible resource. Succinctly
formatted for functionality, the book presents: Basic Math
Calculations Engineering Math Calculations Production Engineering
Calculations Engineering Economics Calculations Ergonomics
Calculations Facility Layout Calculations Production Sequencing and
Scheduling Calculations Systems Engineering Calculations Data
Engineering Calculations Project Engineering Calculations
Simulation and Statistical Equations It has been said that
engineers make things while industrial engineers make things
better. To make something better requires an understanding of its
basic characteristics and the underlying equations and calculations
that facilitate that understanding. To do this, however, you don't
have to be computational experts; you just have to know where to
get the computational resources that are needed. This book
elucidates the underlying equations that facilitate the
understanding required to improve design processes, continuously
improving the answer to the age-old question: What is the best way
to do a job?
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Knowledge Discovery from Sensor Data - Second International Workshop, Sensor-KDD 2008, Las Vegas, NV, USA, August 24-27, 2008, Revised Selected Papers (Paperback, Edition.)
Mohamed Medhat Gaber, Ranga Raju Vatsavai, Olufemi A. Omitaomu, Joao Gama, Nitesh V. Chawla, …
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R1,557
Discovery Miles 15 570
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Ships in 10 - 15 working days
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This volume contains extended papers from Sensor-KDD 2008, the
Second - ternational Workshop on Knowledge Discovery from Sensor
Data. The second
Sensor-KDDworkshopwasheldinLasVegasonAugust24,2008, inconjunction
with the 14th ACM SIGKDD InternationalConference on
KnowledgeDiscovery and Data Mining. Wide-area sensor
infrastructures, remote sensors, and wireless sensor n- works,
RFIDs, yield massive volumes of disparate, dynamic, and
geographically distributeddata.Assuchsensorsarebecomingubiquitous,
asetofbroadrequi- ments is beginning to emerge across high-priority
applications including dis- ter preparedness and management,
adaptability to climate change, national or homelandsecurity,
andthe managementofcriticalinfrastructures.Therawdata from sensors
need to be e?ciently managed and transformed to usable infor- tion
through data fusion, which in turn must be converted to predictive
insights via knowledge discovery, ultimately facilitating automated
or human-induced tactical decisions or strategic policy based on
decision sciences and decision s- port systems. The expected
ubiquity of sensors in the near future, combined with the cr- ical
roles they are expected to play in high-priority application
solutions, points to an era of unprecedented growth and
opportunities. The main motivation for the Sensor-KDD series of
workshops stems from the increasing need for a forum to exchange
ideas and recent research results, and to facilitate coll- oration
and dialog between academia, government, and industrial stakeho-
ers. This is clearly re?ected in the successful organization of the
?rst workshop (http:
//www.ornl.gov/sci/knowledgediscovery/SensorKDD-2007/)alongwiththe
ACMKDD-2007conference, whichwasattendedbymorethanseventyregistered
participants, and resulted in an edited book (CRC Press,
ISBN-9781420082326, 2008), and a special issue in the Intelligent
Data Analysis journal (Volume 13, Number 3, 2
As sensors become ubiquitous, a set of broad requirements is
beginning to emerge across high-priority applications including
disaster preparedness and management, adaptability to climate
change, national or homeland security, and the management of
critical infrastructures. This book presents innovative solutions
in offline data mining and real-time analysis of sensor or
geographically distributed data. It discusses the challenges and
requirements for sensor data based knowledge discovery solutions in
high-priority application illustrated with case studies. It
explores the fusion between heterogeneous data streams from
multiple sensor types and applications in science, engineering, and
security.
The availability of advanced information technologies such as the
various types of automatic data acquisitions and sensor systems has
created a tremendous capability to collect valuable process data.
The effective and timely processing of this data is the backbone of
intelligent process monitoring and control. The need for more
practical process monitoring models continues to grow as these
technologies become more sophisticated. This book presents
effective methods for processing sensor data in order to achieve
intelligent process monitoring and control strategies. In
developing these methods, the following issues were considered: (a)
how to represent secondary data in such a way that the features
conserve the condition information essential for real-time
decisions; (b) how to obtain a set of parsimonious features that
are able to capture new information and also preserve the condition
information in the original data; and (c) how to reduce the
uncertainty in selecting subset features for prediction purposes.
The book is an indispensable resource for researchers,
professionals, and graduate students in industrial engineering,
manufacturing, and related fields of study.
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