Implementation and Evaluation of Four Interoperable Open Standards for the Internet of Things
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Internet of Things: a Scientometric Review
S S symmetry Article Internet of Things: A Scientometric Review Juan Ruiz-Rosero 1,* ID , Gustavo Ramirez-Gonzalez 1 ID , Jennifer M. Williams 2 ID , Huaping Liu 2, Rahul Khanna 3 ID and Greeshma Pisharody 3 ID 1 Departamento de Telemática, Universidad del Cauca, Popayán, Cauca 190002, Colombia; [email protected] 2 School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA; [email protected] (J.M.W.); [email protected] (H.L.) 3 Intel Corporation, 2111 NE 25th Ave., Hillsboro, OR 97124, USA; [email protected] (R.K.); [email protected] (G.P.) * Correspondence: [email protected]; Tel.: +57-(2)-820-9900 Received: 31 August 2017; Accepted: 23 November 2017; Published: 6 December 2017 Abstract: Internet of Things (IoT) is connecting billions of devices to the Internet. These IoT devices chain sensing, computation, and communication techniques, which facilitates remote data collection and analysis. wireless sensor networks (WSN) connect sensing devices together on a local network, thereby eliminating wires, which generate a large number of samples, creating a big data challenge. This IoT paradigm has gained traction in recent years, yielding extensive research from an increasing variety of perspectives, including scientific reviews. These reviews cover surveys related to IoT vision, enabling technologies, applications, key features, co-word and cluster analysis, and future directions. Nevertheless, we lack an IoT scientometrics review that uses scientific databases to perform a quantitative analysis. This paper develops a scientometric review about IoT over a data set of 19,035 documents published over a period of 15 years (2002–2016) in two main scientific databases (Clarivate Web of Science and Scopus). -
Business Process Management & Enterprise Architecture Track
BIO - Bioinformatics Track Track Co-Chairs: Juan Manuel Corchado, University of Salamanca, Spain Paola Lecca, University of Trento, Italy Dan Tulpan, University of Guelph, Canada An Insight into Biological Data Mining based on Rarity and Correlation as Constraints .............................1 Souad Bouasker, University of Tunis ElManar, Tunisia Drug Target Discovery Using Knowledge Graph Embeddings .........................................................................9 Sameh K. Mohamed, Insight Centre for Data Analytics, Ireland Aayah Nounu, University of Bristol, UK Vit Novacek, INSIGHT @ NUI Galway, Ireland Ensemble Feature Selectin for Biomarker Discovery in Mass Spectrometry-based Metabolomics ............17 Aliasghar Shahrjooihaghighi, University of Louisville, USA Hichem Frigui, University of Louisville, USA Xiang Zhang, University of Louisville, USA Xiaoli Wei, University of Louisville, USA Biyun Shi, University of Louisville, USA Craig J. McClain, University of Louisville, USA Molecule Specific Normalization for Protein and Metabolite Biomarker Discovery ....................................23 Ameni Trabelsi, University of Louisville, USA Biyun Shi, University of Louisville, USA Xiaoli Wei, University of Louisville, USA HICHEM FRIGUI, University of Louisville, USA Xiang Zhang, University of Louisville, USA Aliasghar Shahrajooihaghighi, University of Louisville, USA Craig McClain, University of Louisville, USA BPMEA - Business Process Management & Enterprise Architecture Track Track Co-Chairs: Marco Brambilla, Politecnico di -
Exploring Internet of Things, Mobile Computing and Ubiquitous Computing in Computer Science Education: a Systematic Mapping Study
www.ijtes.net Exploring Internet of Things, Mobile Computing and Ubiquitous Computing in Computer Science Education: A Systematic Mapping Study Olga Fragou1, Anna Mavroudi2 1Hellenic Open University, Greece 2Νorwegian University of Science & Technology, Norway To cite this article: Fragou, O. & Mavroudi, A. (2020). Exploring internet of things, mobile computing and ubiquitous computing in computer science education: A systematic mapping study. International Journal of Technology in Education and Science (IJTES), 4(1), 72-85. The International Journal of Technology in Education and Science (IJTES) is a peer-reviewed scholarly online journal. This article may be used for research, teaching, and private study purposes. Authors alone are responsible for the contents of their articles. The journal owns the copyright of the articles. The publisher shall not be liable for any loss, actions, claims, proceedings, demand, or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of the research material. All authors are requested to disclose any actual or potential conflict of interest including any financial, personal or other relationships with other people or organizations regarding the submitted work. International Journal of Technology in Education and Science Volume 4, Issue 1, Winter 2020 ISSN: 2651-5369 Exploring Internet of Things, Mobile Computing and Ubiquitous Computing in Computer Science Education: A Systematic Mapping Study Olga Fragou, Anna Mavroudi Article Info Abstract Article History Ubiquitous computing, mobile computing and the Internet of Things (UMI) have been widely used in several application areas. To date, methods and techniques Received: for the application of these technologies in real life situations have continued to 17 June 2019 emerge; however, their use in education settings focusing on existing practices remain largely underexplored. -
Internet of Nano-Things, Things and Everything: Future Growth Trends
future internet Review Internet of Nano-Things, Things and Everything: Future Growth Trends Mahdi H. Miraz 1 ID , Maaruf Ali 2, Peter S. Excell 3,* and Richard Picking 3 1 Centre for Financial Regulation and Economic Development (CFRED), The Chinese University of Hong Kong, Sha Tin, Hong Kong, China; [email protected] 2 International Association of Educators and Researchers (IAER), Kemp House, 160 City Road, London EC1V 2NX, UK; [email protected] 3 Faculty of Art, Science and Technology, Wrexham Glyndwrˆ University, Wrexham LL11 2AW, UK; [email protected] * Correspondence: [email protected]; Tel.: +44-797-480-6644 Received: 22 June 2018; Accepted: 25 July 2018; Published: 28 July 2018 Abstract: The current statuses and future promises of the Internet of Things (IoT), Internet of Everything (IoE) and Internet of Nano-Things (IoNT) are extensively reviewed and a summarized survey is presented. The analysis clearly distinguishes between IoT and IoE, which are wrongly considered to be the same by many commentators. After evaluating the current trends of advancement in the fields of IoT, IoE and IoNT, this paper identifies the 21 most significant current and future challenges as well as scenarios for the possible future expansion of their applications. Despite possible negative aspects of these developments, there are grounds for general optimism about the coming technologies. Certainly, many tedious tasks can be taken over by IoT devices. However, the dangers of criminal and other nefarious activities, plus those of hardware and software errors, pose major challenges that are a priority for further research. Major specific priority issues for research are identified. -
OGC Sensorthings API FROST Server
OGC SensorThings API and FROST Server® Michael Jacoby Open Geospatial Consortium http://www.opengeospatial.org ▪ International consortium ▪ over 522 companies, government agencies and universities ▪ “Geo-enable” mainstream IT ▪ Develop publicly available standards ▪ Web Map Service ▪ CityGML ▪ WaterML ▪ Earth Observations 2019-10-29 2 / 38 © Fraunhofer IOSB OGC & IoT? ▪ IoT deals with Sensors and Actuators ▪ Sensors and Actuators have Location ▪ OGC Sensor Web Enablement (SWE) ▪ Enable developers to make all types of sensors and sensor data repositories discoverable, accessible and useable via the Web ▪ Since 1990 by NASA ▪ Since 2001 in OGC ▪ SensorML Sensor Observation Service (SOS) Sensor Planning Service (SPS) Observations & Measurements (O&M) ▪ Sensor Data & Metadata ©OGC: http://www.opengeospatial.org/ogc/markets-technologies/swe 2019-10-29 3 / 38 © Fraunhofer IOSB From SWE to SensorThings ▪ “Old” SWE Standards ▪ XML Encoded ▪ SOAP bindings ▪ Complex in use ▪ No easy browsing ▪ No pagination ▪ No pub/sub Time for an update → SensorThings API 2019-10-29 4 / 38 © Fraunhofer IOSB OGC SensorThings API https://www.opengeospatial.org/standards/sensorthings https://github.com/opengeospatial/sensorthings ▪ A standard for exchanging sensor data and metadata ▪ Historic data & current data ▪ JSON Encoded ▪ RESTful ▪ Adapting OASIS OData URL patterns and query options ▪ Supporting MQTT pub/sub ▪ Easy to use & understand ▪ Discoverable with only a web browser 2019-10-29 5 / 38 © Fraunhofer IOSB OGC SensorThings API ▪ Divided into multiple Parts -
Advancing the Industrial Internet of Things
Advancing the Industrial Internet of Things An Industrial Internet Consortium and oneM2M™ Joint Whitepaper Authors Amar Deol (Huawei), Ken Figueredo (InterDigital Inc.), Shi-Wan Lin (Yo-i), Brett Murphy (RTI), Dale Seed (Convida Wireless), Jason Yin (Huawei) Editors Shi-Wan Lin (Yo-i) and Ken Figueredo (InterDigital Inc.) Contributors1 Josef Blanz (Qualcomm), Omar Elloumi (Nokia), Rajive Joshi (RTI), Peter Klement (XMPro), Sam Bhattarai (Toshiba), Atte Lansisalmi (Nokia) and Chuck Byers (IIC) 2019-12-12 1 Individuals who have provided valuable comments and inputs that have substantially improved the quality of this whitepaper. - i - 1 Context for Collaboration .................................................................................................. 1 2 Organizational Overviews ................................................................................................. 2 2.1 Overview of the IIC .............................................................................................................. 2 2.2 Overview of oneM2MTM....................................................................................................... 3 3 Alignment Between IIRA and oneM2M Architecture Frameworks ...................................... 6 3.1 IIC’s IIRA .............................................................................................................................. 7 3.2 oneM2M Architecture and Common Services Layer .............................................................. 9 3.2.1 Common Service Layer Functions -
Case Studies in Iot -Smart-Home Solutions Pedagogical Perspective
Case Studies in IoT -Smart-Home Solutions Pedagogical Perspective with Industrial Applications and some latest Developments Hans-Petter Halvorsen, Alexander Jonsaas, Saba Mylvaganam, Josef Timmerberg, Jean-Marc Thiriet To cite this version: Hans-Petter Halvorsen, Alexander Jonsaas, Saba Mylvaganam, Josef Timmerberg, Jean-Marc Thiriet. Case Studies in IoT -Smart-Home Solutions Pedagogical Perspective with Industrial Applications and some latest Developments. EAEEIE 2017 - 27th EAEEIE Annual Conference on Innovation in Education for Electrical and Information Engineering, Jun 2017, Grenoble, France. hal-01658856 HAL Id: hal-01658856 https://hal.archives-ouvertes.fr/hal-01658856 Submitted on 7 Dec 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Case Studies in IoT - Smart-Home Solutions Pedagogical Perspective with Industrial Applications and some latest Developments Hans-Petter Halvorsen, Alexander Jonsaas, Saba Josef Timmerberg Mylvaganam Jade University of Applied Sciences, D-26389 Wilhelmshaven, [email protected] ; Faculty of Technology, Department -
Recommending Privacy Settings for Internet-Of-Things
Clemson University TigerPrints All Dissertations Dissertations December 2019 Recommending Privacy Settings for Internet-of-Things Yangyang He Clemson University, [email protected] Follow this and additional works at: https://tigerprints.clemson.edu/all_dissertations Recommended Citation He, Yangyang, "Recommending Privacy Settings for Internet-of-Things" (2019). All Dissertations. 2528. https://tigerprints.clemson.edu/all_dissertations/2528 This Dissertation is brought to you for free and open access by the Dissertations at TigerPrints. It has been accepted for inclusion in All Dissertations by an authorized administrator of TigerPrints. For more information, please contact [email protected]. Recommending Privacy Settings for Internet-of-Things A Dissertation Presented to the Graduate School of Clemson University In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy Computer Science by Yang He December 2019 Accepted by: Dr. Bart P. Knijnenburg, Committee Chair Dr. Larry F. Hodges Dr. Alexander Herzog Dr. Ilaria Torre Abstract Privacy concerns have been identified as an important barrier to the growth of IoT. These concerns are exacerbated by the complexity of manually setting privacy preferences for numerous different IoT devices. Hence, there is a demand to solve the following, urgent research question: How can we help users simplify the task of managing privacy settings for IoT devices in a user-friendly manner so that they can make good privacy decisions? To solve this problem in the IoT domain, a more fundamental understanding of the logic behind IoT users' privacy decisions in different IoT contexts is needed. We, therefore, conducted a series of studies to contextualize the IoT users' decision-making characteristics and designed a set of privacy-setting interfaces to help them manage their privacy settings in various IoT contexts based on the deeper understanding of users' privacy decision behaviors. -
Usage of Standards in the Smart Factory Web Testbed
Usage of Standards in the Smart Factory Web Testbed An Industrial Internet Consortium White Paper Version 1.0 2020-06-29 Usage of Standards in the Smart Factory Web Testbed CONTENT 1 Standards Overview ............................................................................................................... 6 2 Smart Factory Web Architecture ........................................................................................... 8 2.1 Asset Definition ....................................................................................................................... 9 2.2 Describing a Factory in AML................................................................................................... 12 2.3 The Asset Graph View ............................................................................................................ 18 2.4 Factory Registration ............................................................................................................... 19 2.5 Cloud Integration ................................................................................................................... 19 2.6 Implementation Status .......................................................................................................... 32 3 Detailed Description of Standards Usage............................................................................. 34 3.1 AutomationML ...................................................................................................................... 35 3.2 AML and OPC UA .................................................................................................................. -
ITU-T Technical Specification TELECOMMUNICATION STANDARDIZATION SECTOR (7 April 2019) of ITU
International Telecommunication Union ITU-T Technical Specification TELECOMMUNICATION STANDARDIZATION SECTOR (7 April 2019) OF ITU ITU-T Focus Group on Data Processing and Management to support IoT and Smart Cities & Communities Technical Specification D3.2 SensorThings API – Sensing FOREWORD The International Telecommunication Union (ITU) is the United Nations specialized agency in the field of telecommunications, information and communication technologies (ICTs). The ITU Telecommunication Standardization Sector (ITU-T) is a permanent organ of ITU. ITU-T is responsible for studying technical, operating and tariff questions and issuing Recommendations on them with a view to standardizing telecommunications on a worldwide basis. The procedures for establishment of focus groups are defined in Recommendation ITU-T A.7. ITU-T Study Group 20 set up the ITU-T Focus Group on Data Processing and Management to support IoT and Smart Cities & Communities (FG-DPM) at its meeting in March 2017. ITU-T Study Group 20 is the parent group of FG-DPM. Deliverables of focus groups can take the form of technical reports, specifications, etc., and aim to provide material for consideration by the parent group in its standardization activities. Deliverables of focus groups are not ITU-T Recommendations. ITU 2019 All rights reserved. No part of this publication may be reproduced, by any means whatsoever, without the prior written permission of ITU. Technical Specification D3.2 SensorThings API – Sensing Summary The SensorThings API provides an open, geospatial-enabled and unified way to interconnect the Internet of Things devices, data, and applications over the Web. The SensorThings API is an open standard, and that means it is non-proprietary, platform-independent, and perpetual royalty-free. -
Ogc Sensorthings Api ...59
UCGE Reports Number 20400 Department of Geomatics Engineering Implementation and Evaluation of Interoperable Open Standards for the Internet of Things (URL: http://www.geomatics.ucalgary.ca/graduatetheses) by Seyyed Mohammad Ali Jazayeri APRIL, 2014 UNIVERSITY OF CALGARY Implementation and Evaluation of Interoperable Open Standards for the Internet of Things By Seyyed Mohammad Ali Jazayeri A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE DEPARTMENT OF GEOMATICS ENGINEERING CALGARY, ALBERTA APRIL, 2014 © Seyyed Mohammad Ali Jazayeri 2014 Abstract Recently, researchers focused on a new use of the Internet called Internet of Things (IoT), in which capable electronic devices can be remotely accessed over the Internet. All around the world, IoT applications are emerging exponentially with various functionalities in order to monitor and control the environment. For example, Wemo switch, Philips Hue light bulb, Ninja Blocks and Air Quality Egg are samples of the existing IoT applications which make environmental dynamics accessible via the Internet. Each application is developed based on the developer’s desire of the device. That means the number of proprietary protocols is growing as the number of IoT devices increases. Moreover, IoT devices are intuitively heterogeneous in terms of the hardware capabilities and communication protocols. Therefore, ensuring interoperability is an important step to integrate various devices together. In this research, we focus on the communication challenges of the IoT objects to make the network suitable for a wide scale of IoT devices. To do this, we implement open standards in different communication layers on a resource constraint IoT object. -
Indoor Air Quality Monitoring Sensor for the Web of Things †
Proceedings Indoor Air Quality Monitoring Sensor for the Web of Things † Daniel Ibaseta 1, Julio Molleda 2,*, Fidel Díez 1 and Juan C. Granda 2 1 CTIC Technological Centre, 33203 Gijón, Spain; [email protected] (D.I.); [email protected] (F.D.) 2 Department of Computer Science and Engineering, University of Oviedo, 33204 Gijón, Spain; [email protected] * Correspondence: [email protected]; Tel.: +34-985-182-518 † Presented at 2nd International Research Conference on Sustainable Energy Engineering, Materials and Environment, Mieres, Spain, 25–27 July 2018. Published: 14 November 2018 Abstract: Many Internet of Things platforms use dedicated software coupled with proprietary devices and interfaces, creating silo solutions with no interoperability. The Web of Things paradigm promotes using open Web standards to connect physical objects to the Internet through an application layer. In this paper, we propose a low-cost, indoor air quality monitoring sensor implementing a minimal servient building block recommended by the Web of Things Working Group of the World Wide Web Consortium. The proposed sensor runs a Web server on a low-power system-on-chip microcontroller, which provides temperature, relative humidity and carbon dioxide measurements to the Internet through a REST API. Any client on the Internet able to manage the HTTP protocol may access this sensor, making it compatible with any air quality monitoring platform that uses HTTP. Keywords: IoT; WoT; REST API; air quality monitoring; SoC microcontroller 1. Introduction Embedded computing and low-power wireless communication provide physical objects with Internet connectivity, forming the Internet of Things (IoT) [1]. The IoT offers services that lay at the core of many fields, such as smart homes, smart cities, smart industries and smart agriculture.