Past and Future of Software Architectures for Context-Aware Systems: a Systematic Mapping Study
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Smart Market-Makers for the “Internet of Things”
35 Wanted: Smart market-makers for the “Internet of Things” Ansgar Schlautmann, Didier Levy, Stuart Keeping and Gregory Pankert The “Internet of Things” is The “Internet of Things” is one of the hottest topics be- among the hottest topics ing debated today across industries worldwide. The most currently being debated, diverse products – home appliances, medical equipment, with the projected poten- cars and power meters, to name but a few – are getting tial in turnover whetting connected to the Internet. When products can thus com- the appetite of industry municate with the outside world, they are said to become experts around the globe. connected devices and smart objects: one can interact However, solution pro- with them remotely, query how they are doing and change viders are still searching their state as required. For example, a smart vital sign- for sustainable business monitoring device can connect a person who has a chronic models for this new field illness to a physician’s office, enabling telemedicine. The and offering their solu- combination of a smart object and the service exploiting its tions in a trial-and-error capabilities is called a smart solution. mode. In this article the authors explore alterna- Industry experts are outbidding each other when estimat- tive ways in which vari- ing the number of smart objects in homes, offices, facto- ous types of players can ries, vehicles and elsewhere. The estimates range from create value in this bud- 22 billion (IMS) to 50 billion (Cisco and Ericsson) by 2020, ding market. up from six billion today. Beecham Research predicts that global revenue from these objects will grow from $15 bil- lion in 2011 to more than $30 billion in 2014. -
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 -
Intelligent Traffic Information System Based on Integration of Internet Of
(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 6, No. 2, 2015 Intelligent Traffic Information System Based on Integration of Internet of Things and Agent Technology Hasan Omar Al-Sakran Management Information Systems Department King Saud University Riyadh, Saudi Arabia Abstract—In recent years popularity of private cars is getting users. Through collected real-time traffic data, the system can urban traffic more and more crowded. As result traffic is recognize current traffic operation, traffic flow conditions and becoming one of important problems in big cities in all over the can predict the future traffic flow. The system may issue some world. Some of the traffic concerns are congestions and accidents latest real-time traffic information that helps drivers choosing which have caused a huge waste of time, property damage and optimal routes. Therefore, the system can precisely environmental pollution. This research paper presents a novel administrate, monitor and control moving vehicles. intelligent traffic administration system, based on Internet of Constructing an intelligent traffic system based on IoT has a Things, which is featured by low cost, high scalability, high number of benefits such improvement of traffic conditions, compatibility, easy to upgrade, to replace traditional traffic reduction the traffic jam and management costs, high management system and the proposed system can improve road reliability, traffic safety and independence of weather traffic tremendously. The Internet of Things is based on the conditions [1, 2]. Internet, network wireless sensing and detection technologies to realize the intelligent recognition on the tagged traffic object, Such traffic IoT must include every element of traffic such tracking, monitoring, managing and processed automatically. -
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. -
Iot: the Age of Machine
International Journal of Engineering Research and General Science Volume 3, Issue 6, November-December, 2015 ISSN 2091-2730 IoT: The Age of Machine Dharam J. Gami Atmiya Institute of Technology and Science, Gujarat Technological University, Gujarat Email: [email protected] Abstract— IoT is not just a technology but it is an ideology or a concept which leads to a new age that is age of machine. IoT is the key to fully digitalize the world. Move towards IoT will revolutionise human life where machine-to-machine communication is emphasized and human interaction is minimized. IoT demands everything on internet and be controlled and managed by machine itself. The goal of this paper is to give an imagination and a Skelton of IoT. This paper also highlights the challenges in IoT implementation and other critical issues. Keywords— IoT, age of machine, smart objects, IoT challenges, automation, architecture, open loop, RFID. INTRODUCTION The term IoT was first coined by Kevin Ashton in 1992 [7]. IoT don’t have any exact or wildly accepted definition. We can explain IoT by saying that ―IoT is a network of things, where thing refers to a smart object. Objects are embedded with electronics, software, sensors, and network connectivity, which enable these objects to collect and exchange data [7]. The idea is to connect every object via Internet and make them communicate. IoT is expected to offer advanced connectivity of devices, systems, and services that goes beyond machine-to-machine communications (M2M) and covers a variety of protocols, domains, and applications [12]. To do so, creating a new framework, infrastructure or technology is not feasible. -
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. -
Ambient Intelligence: Second European Symposium, EUSAI 2004
Lecture Notes in Computer Science 3295 Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Massachusetts Institute of Technology, MA, USA Demetri Terzopoulos New York University, NY, USA Doug Tygar University of California, Berkeley, CA, USA Moshe Y. Vardi Rice University, Houston, TX, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany This page intentionally left blank Panos Markopoulos Berry Eggen Emile Aarts James L. Crowley (Eds.) Ambient Intelligence Second European Symposium, EUSAI 2004 Eindhoven, The Netherlands, November 8-11, 2004 Proceedings Springer eBook ISBN: 3-540-30473-8 Print ISBN: 3-540-23721-6 ©2005 Springer Science + Business Media, Inc. Print ©2004 Springer-Verlag Berlin Heidelberg All rights reserved No part of this eBook may be reproduced or transmitted in any form or by any means, electronic, mechanical, recording, or otherwise, without written consent from the Publisher Created in the United States of America Visit Springer's eBookstore at: http://ebooks.springerlink.com and the Springer Global Website Online at: http://www.springeronline.com Preface This volume of the LNCS is the formal proceedings of the 2nd European Symposium on Ambient Intelligence, EUSAI 2004. -
Service Composition for IP Smart Object Using Realtime Web Protocols: Concept and Research Challenges
Service Composition for IP Smart Object using Realtime Web Protocols: Concept and Research Challenges Son N. Hana,∗, Imran Khana,c, Gyu Myoung Leeb, Noel Crespia, Roch H. Glithoc aTelecom SudParis, 9 Charles Fourier, 91011 Evry, France bLiverpool John Moores University, Byrom Street, Liverpool, L3 3AF, UK cConcordia University, 1515 St Catherine Street West, Montreal, Quebec Canada H3G 2W1 Abstract The Internet of Things (IoT) refers to a world-wide network of interconnected physical things using standardized communication protocols. Recent develop- ment of Internet Protocol (IP) stacks for resource-constrained devices unveils a possibility for the future IoT based on the stable and scalable IP technol- ogy much like today's Internet of computers. One important question remains: how can data and events (denoted as services) introduced by a variety of IP networked things be exchanged and aggregated efficiently in various application domains. Because the true value of IoT lies in the interaction of several services from physical things, answers to this question are essential to support a rapid creation of new IoT smart and ubiquitous applications. The problem is known as service composition. This article explains the practicability of the future full-IP IoT with realtime Web protocols to formally state the problem of service composition for IP smart objects, provides literature review, and discusses its research challenges. Keywords: Internet of Things, Smart Object, Service Composition ∗Corresponding author Email address: [email protected] (Son N. Han) Preprint submitted to Journal of Computer Standards & Interfaces August 19, 2015 1. Introduction The Internet of Things (IoT) is the next major evolution of the Internet where heterogeneous devices and machines are being connected to the Internet, to each other, and to people.