東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Making sense of sensors = end-to-end...

Tickoo, Omesh.

FindBook

Google Book

Amazon

博客來

Making sense of sensors = end-to-end algorithms and infrastructure design from wearable-devices to data center /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Making sense of sensors/ by Omesh Tickoo, Ravi Iyer.
其他題名:	end-to-end algorithms and infrastructure design from wearable-devices to data center /
作者:	Tickoo, Omesh.
其他作者:	Iyer, Ravi.
出版者:	Berkeley, CA :Apress : : 2017.,
面頁冊數:	xiii, 117 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Wireless sensor networks. -
電子資源:	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 sensorsend-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:

1086182
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:02296nmm a2200289 a 4500 001 2089393
003 DE-He213
005 20170720172915.0
006 m d
007 cr nn 008maaau
008 171013s2017 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 3219968
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 1086182
650 0 $a Data structures (Computer science) $3 527210
650 0 $a Data mining. $3 562972
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Hardware and Maker. $3 3134857
650 2 4 $a Computer Science, general. $3 892601
650 2 4 $a Programming Techniques. $3 892496
700 1 $a Iyer, Ravi. $3 1681737
710 2 $a SpringerLink (Online service) $3 836513
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)