NDLI: Modeling Quantified Things Using a Multi-Agent System

Content Provider	IEEE Xplore Digital Library
Author	Nascimento, Nathalia Moraes do Lucena, Carlos Jose Pereira de Fuks, Hugo
Copyright Year	2015
Abstract	The Internet of Things (IoT) aims at empowering anything to connect to the Internet and to collect data about itself and the environment in which it is situated. Therefore, the IoT has been producing a wide range of data. Our aim is to deliver a way of incorporating the small data generated by each thing into larger datasets to get more meaning out of these data. A thing, equipped with sensors, can be monitored and can record specific features regarding its behavior. Then it can insert data into a cloud database in order to provide individual-and collective-level analyses. We call this process "Quantified Things," and we present it as a new area for the application of "Quantified-Self" and "Quantified-Community" that are approaches of the IoT. In this paper, we provide an overview of the Quantified Things (QT) concept and the key requirements for the creation of QT applications. In addition, we present an agent-based model as a solution to meet such requirements. To illustrate the use of this model, we derived an example from one of the Quantified Things applications: "Quantified Fruit." Using the "Quantified Fruit" concept, some fruit storage use sensors to monitor environmental conditions, such as temperature, relative humidity, lighting and some gases that may affect fruit ripening. In turn, they insert these collected data into a cloud database and consequently enable knowledge sharing. Through these collective experiences, fruit storage may provide an advanced informative perspective on fruit shelf life based on local environmental conditions.
Starting Page	26
Ending Page	32
File Size	421278
Page Count	7
File Format	PDF
e-ISBN	9781467396189
DOI	10.1109/WI-IAT.2015.139
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-06
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temperature sensors quantified self Adaptation models Databases internet of things quantified things Neural networks multi-agent system Internet Monitoring
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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