Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Making sense of sensors = end-to-end...
~
Tickoo, Omesh.
Making sense of sensors = end-to-end algorithms and infrastructure design from wearable-devices to data center /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Making sense of sensors/ by Omesh Tickoo, Ravi Iyer.
Reminder of title:
end-to-end algorithms and infrastructure design from wearable-devices to data center /
Author:
Tickoo, Omesh.
other author:
Iyer, Ravi.
Published:
Berkeley, CA :Apress : : 2017.,
Description:
xiii, 117 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Wireless sensor networks. -
Online resource:
http://dx.doi.org/10.1007/978-1-4302-6593-1
ISBN:
9781430265931
Making sense of sensors = end-to-end algorithms and infrastructure design from wearable-devices to data center /
Tickoo, Omesh.
Making sense of sensors
end-to-end algorithms and infrastructure design from wearable-devices to data center /[electronic resource] :by Omesh Tickoo, Ravi Iyer. - Berkeley, CA :Apress :2017. - xiii, 117 p. :ill., digital ;24 cm.
Chapter 1: Introducing the Pipeline -- Chapter 2: From Data to Recognition -- Chapter 3: Multimodal Recognition -- Chapter 4: Contextual Recognition -- Chapter 5: Representing Relationships -- Chapter 6: Relationships and Knowledge -- Chapter 7: Knowledge Representation.
This book outlines the common architectures used for deriving meaningful data from sensors. In today's world we are surrounded by sensors collecting various types of data about us and our environments. These sensors are the primary input devices for wearable computers, internet-of-things, and other mobile devices. This book provides the reader with the tools to understand how sensor data is converted into actionable knowledge and provides tips for in-depth work in this field. The information is presented in way that allows readers to associate the examples with their daily lives for better understanding of the concepts. Making Sense of Sensors starts with an overview of the general pipeline to extract meaningful data from sensors. It then dives deeper into some commonly used sensors and algorithms designed for knowledge extraction. Practical examples and pointers to more information are used to outline the key aspects of Multimodal recognition. The book concludes with a discussion on relationship extraction, knowledge representation, and management.
ISBN: 9781430265931
Standard No.: 10.1007/978-1-4302-6593-1doiSubjects--Topical Terms:
719714
Wireless sensor networks.
LC Class. No.: TK7872.D48
Dewey Class. No.: 006.22
Making sense of sensors = end-to-end algorithms and infrastructure design from wearable-devices to data center /
LDR
:02296nam a2200289 a 4500
001
958084
003
DE-He213
005
20170720172915.0
006
m d
007
cr nn 008maaau
008
201118s2017 cau s 0 eng d
020
$a
9781430265931
$q
(electronic bk.)
020
$a
9781430265924
$q
(paper)
024
7
$a
10.1007/978-1-4302-6593-1
$2
doi
035
$a
978-1-4302-6593-1
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TK7872.D48
082
0 4
$a
006.22
$2
23
090
$a
TK7872.D48
$b
T557 2017
100
1
$a
Tickoo, Omesh.
$3
1250062
245
1 0
$a
Making sense of sensors
$h
[electronic resource] :
$b
end-to-end algorithms and infrastructure design from wearable-devices to data center /
$c
by Omesh Tickoo, Ravi Iyer.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2017.
300
$a
xiii, 117 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
Chapter 1: Introducing the Pipeline -- Chapter 2: From Data to Recognition -- Chapter 3: Multimodal Recognition -- Chapter 4: Contextual Recognition -- Chapter 5: Representing Relationships -- Chapter 6: Relationships and Knowledge -- Chapter 7: Knowledge Representation.
520
$a
This book outlines the common architectures used for deriving meaningful data from sensors. In today's world we are surrounded by sensors collecting various types of data about us and our environments. These sensors are the primary input devices for wearable computers, internet-of-things, and other mobile devices. This book provides the reader with the tools to understand how sensor data is converted into actionable knowledge and provides tips for in-depth work in this field. The information is presented in way that allows readers to associate the examples with their daily lives for better understanding of the concepts. Making Sense of Sensors starts with an overview of the general pipeline to extract meaningful data from sensors. It then dives deeper into some commonly used sensors and algorithms designed for knowledge extraction. Practical examples and pointers to more information are used to outline the key aspects of Multimodal recognition. The book concludes with a discussion on relationship extraction, knowledge representation, and management.
650
0
$a
Wireless sensor networks.
$3
719714
650
0
$a
Data structures (Computer science)
$3
527864
650
0
$a
Data mining.
$3
528622
650
1 4
$a
Computer Science.
$3
593922
650
2 4
$a
Hardware and Maker.
$3
1114124
650
2 4
$a
Computer Science, general.
$3
669807
650
2 4
$a
Programming Techniques.
$3
669781
700
1
$a
Iyer, Ravi.
$3
1250063
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-1-4302-6593-1
950
$a
Professional and Applied Computing (Springer-12059)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login