In its first edition, the International Conference on Internet of Things and Machine Learning (IML 2017) is held between the 17th and the 18th of October 2017 in the city of Liverpool in the United Kingdom. This conference is intended to be an exciting, stimulating, and essential forum for the exchange and advancement of ideas in Internet of Things and Machine Learning. The establishment of this conference has brought about an ever widening scope of cross-disciplinary participation, bringing Internet of Things developers and Machine Learning researchers, from all fields, into a common research area. IML 2017 is organised by CentraleSupélec, Université Paris-Saclay and sponsored by Liverpool John Moores University in collaboration with a number of national and international partners. All accepted papers (regular, short, and poster) will be published by the Association for Computing Machinery (ACM) – International Conference Proceedings Series (ICPS) and will be available in the ACM Digital Library with the ISBN: 978-1-4503-5243-7. Through its technical program, the IML 2017 conference is established as a forum for the development, analysis, and future guidance on the burgeoning number of Internet of Things and Machine Learning projects and applications.

IML 2017 is furthering the ideas of Internet of Things and Machine Learning development. Currently, there is a great interest in the fields of Internet of Things and Machine Learning, resulting in a wide array of research being conducted in order to transfer services and facilities into state-of-the-art electronic and information technologies. This first year’s conference presents a multitude of topics aimed at addressing current research issues and trends in the design, engineering, and adoption of Internet of Things and Machine Learning. The IML 2017 conference outlines many research tracks, which are: Internet of things, Data analysis and Machine learning, Smart cities, Sensors, and Information security, Signal and Image processing, Statistical methods and Big data, SVM, Neural and Fuzzy approaches.

We also welcome two keynote speakers, covering a range of relevant, innovative topics that promise to be exciting and thoroughly engaging.

The standard and breadth of this first year’s accepted papers is exceptional, validating the importance of the continual availability of the IML Conference as a major event and forum for the promotion and discussion of the Internet of Things and Machine Learning development. Presentations will be delivered by delegates from a vast number of universities and countries. We would like to thank the speakers and session chairs for their time and effort, and the authors for their contribution to an excellent programme. We hope that you enjoy IML 2017 and have a great time in Liverpool, United Kingdom.

Finally, we would like to thank the Local Organising Committee and the Technical Programme Committee for all their hard work in helping to make this event a success.

Foreword

General Chair

Prof. Hani HAMDAN CentraleSupélec, Université Paris-Saclay Laboratoire des Signaux et Systèmes L2S UMR CNRS 8506 3 rue Joliot Curie 91190 Gif-sur-Yvette FRANCE

Program Committee Chair Fanny Klett, German Workforce ADL Partnership Laboratory, Germany

Local Organizing Committee Chair Dhiya Al-Jumeily, Liverpool John Moores University, Liverpool city, United Kingdom

Management assistance Faouzi Hidoussi, Corgascience, Qatar

International Advisory Committee Xiuhong Chen, University of Michigan, USA Song Gao, University of California Santa Barbara, USA Ming J Zuo, University of Alberta, Canada Maria-Alexandra Paun, Ecole Polytechnique Fédérale de Lausanne, Switzerland Romilla Syed, University of Massachusetts Boston, USA Guy Pujolle, LIP6, Université Pierre et Marie Curie, France Xiao-Jun Zeng, University of Manchester, United Kingdom Maged Dessouky, University of Southern California, USA Chhabi Rani Panigrahi, C. V. Raman College of Engineering, India Asil Oztekin, University of Massachusetts Lowell, USA James Haworth, University College London, United Kingdom Gianluigi Ferrari, University of Parma, Italy Radu-Emil Precup, Politehnica University of Timisoara, Romania Liudong Xing, University of Massachusetts Dartmouth, USA

IML 2017 Committees

Shandar Ahmad, National Institute of Biomedical Innovation, Japan Massimiliano Caramia, Università di Roma “Tor Vergata”, Italy Larbi Boubchir, University of Paris 8, France Mohamed Mohamed, IBM Research – Almaden, USA Noel de Palma, Université Joseph Fourier – Grenoble 1, France Huiyu Zhou, Queen’s University Belfast, United Kingdom Lutz Plümer, University of Bonn, Germany Minyar Sassi, Ecole Nationale d’Ingénieurs de Tunis, Tunisia Alessio Micheli, University of Pisa, Italy Lei Wang, Tongji University, China Panos Pardalos, University of Florida, USA

Technical Program Committee Qiaotian Li, University of Wisconsin-Milwaukee, United States of America Mohammed Chadli, University of Picardie Jules Verne, France Vasile Palade, Coventry University, United Kingdom Andrew Busch, Griffith University, Australia A. Yahya Saleh Alhababi, UTM, Malaysia Gaoxiang Ouyang, Beijing Normal University, China Everton Cavalcante, Federal University of Rio Grande do Norte, Brazil Steve Ling, University of Technology Sydney, Australia Mohamad Saraee, University of Salford, United Kingdom Sumei Ma, Hangzhou Wensli Silk Sciences & Technolegy, China Asif Qumer Gill, University of Technology Sydney, Australia Hitham Alhussian, University Technology PETRONAS, Malaysia Michael Vrahatis, University of Patras, Greece Shahaboddin Shamshirband, University of Malaya, Iran Snehanshu Saha, PES School of Engineering, India Krishnamurthy Vidyasankar, Memorial University, Canada Selwyn Piramuthu, University of florida, USA Vikneswaran Vijean, Universiti Malaysia Perlis, Malaysia Salman Yussof, Universiti Tenaga Nasional, Malaysia Partha Pratim Ray, Sikkim University, India Hamzah Al Najada, Florida Atlantic University, USA Luca Davoli, University of Parma, Italy Idafen Santana-Pérez, Universidad Politécnica de Madrid, Spain Avelino Forechi, Ifes – Instituto Federal do Espírito Santo, Brazil Mohammed Ali Al-Garadi, University of Malaya, Malaysia Yangming Zhou, University of Angers, France José Luis Rojo-álvarez, University Rey Juan Carlos, Spain Marco Spruit, Utrecht University, Netherlands Herman Akdag, LIASD, France Federica Pascucci, Università degli Studi Roma Tre, Italy

Mohammed Misbhauddin, King Faisal University, Saudi Arabia Carynthia Kharkongor, Tezpur university, India Mohamed Elhoseny, Mansoura University, Egypt Salvatore Cuomo, Università degli Studi di Napoli Federico II, Italy Youssef Harrath, University of Bahrain, Bahrain Reza Shojaee, University of Tehran, Iran Shenglin Mu, Hiroshima National College of Maritime Technology, Japan Tak-Lam Wong, The Education University of Hong Kong, Hong Kong Wenwen Li, Arizona State University, USA Muhammad Azam, UET Taxila, Pakistan Kit Yan Chan, DEBII, Australia Syed Hassan Ahmed, Kynugpook National University, Korea Xiaohui Yuan, UNT, USA Quang Ha, UTS, Australia Ali Yazici, Atilim University, Turkey Wai Lok Woo, Newcastle University, United Kingdom Alexandar Djordjevich, City University of Hong Kong, Hong Kong Rajesh A, VIT University, India Rashid Mehmood, King Abdulaziz university, Saudi Arabia Ankush Mittal, Graphic Era University, India Gabriele Oliva, University Campus Biomedico of Rome, Italy Jamila Mustafina, Kazan Federal University, Russia Athanasios Vasilakos, NTUA, Greece Lei Wang, Tongji University, China Zabih Ghassemlooy, Northumbria University, United Kingdom Aristidis Likas, University of Ioannina, Greece José A Sáez, Wroclaw University of Technology, Poland Graham Sexton, Northumbria University, United Kingdom Sotiris Kotsiantis, Univerisity of Patras, Greece Reza Rawassizadeh, UC Riverside, USA Mesut Guenes, Universität Magdeburg, Germany Chetna Gupta, JIIT, India Ender Özcan, University of Nottingham, United Kingdom Jinchang Ren, University of Strathclyde, United Kingdom Abdelmadjid Bouabdallah, UTC, France Stefan Zander, FZI – Research Center for Information Technology, Germany Charalampos Doukas, CREATE-NET, Italy Pedro Ferreira, University of Lisbon, Portugal Milan Vukicevic, University of Belgrade, Serbia Hong Wang, Pacific Northwest National Laboratory, USA Francesco Palmieri, University of Salerno, Italy Yacine Atif, Skövde University, Sweden Decebal Constantin Mocanu, Eindhoven University of Technology, Netherlands Maher Ben Jemaa, ReDCAD-ENIS, Tunisia

Walter Daelemans, University of Antwerp, Belgium Kevin Curran, University of Ulster, United Kingdom Laura Diosan, BBU, Romania Natheer Gharaibeh, Albalqa Applied University, Jordan Wael Dghais, Instituto de Telecomunicações, Portugal Christian Esposito, University of Salerno, Italy Miguel Franklin de Castro, Federal University of Ceará, Brazil Hsiang-Cheh Huang, National University of Kaohsiung, Taiwan Marenglen Biba, University of New York in Tirana, Albania Antonio Ruano, CSI, Universidade do Algarve, Portugale Ficco Massimo, University of Naples (SUN), Italy Fenglou Mao, National Institute of Health, USA Kavita Pabreja, MSI, India José Andrés Moreno Pérez, Universidad de La Laguna, Spain Jorge Sa Silva, University of Coimbra, Portugal Yacine El Younoussi, ENSA Tétouan, Morocco Sandra Gesing, University of Notre Dame, USA Tzung-Pei Hong, National Univesity of Kaohsiung, Taiwan Ali Emrouznejad, Aston Univeristy, United Kingdom Ben-Jye Chang, National Yunlin University of Science and Technology, Taiwan Maged Dessouky, USC, USA Diego P. Ruiz, University of Granada, Spain Mohammad Khalily Dermany, Islamic Azad University, Pakistan Hari Krishna Konda, Bharat Institute of Engineering & Technology, India Satchidananda Dehuri, Fakir Mohanh University, India Steve Ling, University of Technology, Sydney, Australia Ali Reza Khanteymoori, University of Zanjan, Iran Natalia Miloslavskaya, Moscow Engineering Physics Institute, Russia Mohamed Elhoseny, Mansoura University, Egypt Jabril Abdelaziz, University of Quebec at Chicoutimi, Canada Giulio Reina, University of Salento, Itlay Mirko Gagliardi, University of Naples Federico II, Italy Sasmita Acharya, VSSUT, India Toempong Phetchakul, KMITL, Thailand Marek Kretowski, Bialystok University of Technology, Poland Joao B.Florindo, University of Campinas, Brazil Irena Pletikosa, ETH Zurich, Switzerland Lefteris Angelis, Aristotle University of Thessaloniki, Greece Ahmad Alzu’Bi, University of the West of Scotland, United Kingdom Komkrit Chooruang, Nakhon Phanom University, Thailand Vincent A. Balogun, Afe Babalola University Ado Ekiti, Negeria Itu Snigdh, BIT Mesra, India Sharad S, Amrita School of Engineering, Coimbatore, India Paulo Pires, Federal University of Rio de Janeiro, Brazil

Son Doan, The University of Utah, USA Vijay Raisinghani, NMIMS, India Naeem Ramzan, University of West of Scotland, United Kingdom Neelendra Badal, KNIT Sultanpur, India Yaser Jararweh, Jordan University of Science and Technology, Jordan Antonio J. Torija, the University of Southampton, United Kingdom Iraklis Varlamis, Harokopio University of Athens, Greece Omar Y. Al-Jarrah, Khalifa University of Science Technology, UAE Markus König, Ruhr-Universität Bochum, Germany Mirjana Ivanovic, University of Novi Sad, Serbia Sian Lun Lau, Sunway University, Malaysia Stephen Flowerday, University of Fort Hare, South Africa Tiejun Ma, Imperial College, United Kingdom Sriram Varadarajan, Queen’s University Belfast, United Kingdom Mohammed Alodib, Qassim University, Saudi Arabia Débora C. Muchaluat Saade, Universidade Federal Fluminense, Brazil Essa Shahra, KFUPM, Saudi Arabia Mohamed Ismaeel Maricar, University of Nottingham, United Kingdom Charles Morisset, Newcastle University, United Kingdom Mark Embrechts, Virginia Polytechnic Institute, USA Isabelle Comyn-Wattiau, ESSEC Business School, France Huiru Zheng, University of Ulster, United Kingdom Simon Hadfield, University of Surrey, United Kingdom Carlos M Travieso Gonzalez, University of Las Palmas de Gran Carnaria, Spain Wenwu Tang, University of North Carolina at Charlotte, USA Ben Daniel, University of Otago, United Kingdom Zhihua Cui, Taiyuan University of Science and Technology, China John Tsiligaridis, Heritage University, USA Moongu Jeon, GIST, Korea Lina Zhou, University of Maryland Baltimore County, USA Colin Layfield, University of Malta, Malta Narges Razavian, New York University, USA Christian Konradt, University of Warwick, United Kingdom Jaeseung Song, Sejong University, Korea

SCHEDULE-AT-A-GLANCE TUESDAY WEDNESDAY

9.00 - 12.00 Registration & Coffee

8.00 - 9.00 Registration & Coffee

9.00 - 10.45 Session 3: Smart cities, Sensors, and Information security

10.45 - 11.00

Coffee Break

11.00 - 12.00 Session 4: Signal and Image processing

12.00 - 13.30 12.00 - 13.30

Lunch Lunch

13.30 - 13.45 13.30 - 14.30 Keynote Speaker Dr. Bich-Lîen Doan

Welcome Speeches

13.45 - 14.45

Keynote Speaker

Dr. Yacine Atif 14.30 - 15.00 Coffee Break

14.45 - 15.00

Coffee Break

15.00 - 16.00 Session 1: Internet of things

15.00 - 16.00 Session 5: Statistical methods and Big data

16.00 - 17.30 Session 2: Data analysis and Machine learning

16.00 - 17.15 Session 6: SVM, Neural and Fuzzy approaches

17.15 - 17.30

Conference Close

19.30 - 22.00

Dinner

Session 1: Internet of things

17/10/17 | 15.00 – 16.00 Session Chair: Dhiya Al-Jumeily

Paper ID: 40 Discussion: Faults and flaws in the internet of things in manufacturing in small to medium enterprises

David Russell Paper ID: 57 Knowledge as a Service in the IoT era

Prodromos Kolyvakis Paper ID: 59 Vehicle Monitoring using Internet of Things

Leela Velusamy Paper ID: 97 Control of networked traffic flows distribution – a stochastic distribution system perspective

Hong Wang Paper ID: 103 Social Media Analytics and Internet of Things: Survey

Workneh Ayele Paper ID: 104 Simulation Tools in Internet of Things: A Review

Ella Pereira Paper ID: 141 Service Level Guarantee Framework for IoT environments

Ahmad Khalil

Session 2: Data analysis and Machine learning 17/10/17 | 16.00 – 17.30 Session Chair: Yacine Atif Paper ID: 28 Tools and Techniques for solving cold start Recommendation

Nitin Mishra Paper ID: 56 On the Need of Machine Learning as a Service for the Internet of Things

Davide Bacciu Paper ID: 84 A Study into Data Analysis and Visualisation to increase the Cyber-Resilience of Healthcare Infrastructures

Aaron Boddy Paper ID: 102 Using Machine Learning Algorithms to Predict Earnings Manipulation

Dinesh Kumar Unni Krishnan Paper ID: 109 Semantic search extension based on Polish WordNet relations in business document exploration

Piotr Potiopa

Schedule | Papers

Paper ID: 120 Dimensionality Reduction Approaches and Evolving Challenges in High Dimensional Data

Adnan Ullah Paper ID: 135 Track-Me-Fit: Inferring User Activity through Mobile Phones’ Data

Prapa Rattadilok Paper ID: 136 Financial Investment and Economic Policy Uncertainty in the UK

Andres Azqueta Gavaldon Paper ID: 155 A Machine Learning Based Approach to Human Observer Behaviour Analysis in CCTV Video Analytics & Forensics

Seema Al Raisi

Session 3: Smart cities, Sensors, and Information security

18/10/17 | 09.00 – 10.45 Session Chair: Dhiya Al-Jumeily Paper ID 23: An Intelligent Well-being Monitoring System for Residents in Extra Care Homes

Yanguo Jing Paper ID 30: Movements Analysis of Preterm Infants by Using Depth Sensor

Annalisa Cenci Paper ID 39: Evaluation of Password Encrypted Key Exchange authentication Techniques: Design approach perspective

Shameedha Begum Paper ID 78: Classification of Device Behavior in Internet of Things Infrastructures Towards Distinguishing the Abnormal from Security Threats

Roman Ferrando Paper ID 88: A case study for M2M traffic characterization in a smart city environment

Filippo Malandra Paper ID 99: Every Drop Counts: Unleashing the prospective locations for Water Harvesting using Geospatial Analytics

Dinesh Kumar Unni Krishnan Paper ID 111: Computing on Encrypted Data for Privacy in Machine Learning

Adrian Waller Paper ID 114: Development of Smart Linear Velocity Measuring Device by Embedding Sensors with the Arduino Microcontroller

Omonigho Otanocha Paper ID 117: Mobile Application for Elderly Assistance in Public Transport

José Ángel Concepción-Sánchez

Schedule | Papers

Paper ID 125: Smart Contracts based on Blockchain for Logistics Management

Pino Caballero-Gil Session 4: Signal and Image processing 18/10/17 | 11.00 – 12.00 Session Chair: Hani Hamdan

Paper ID 18: Linear Projective Approach for Moving Object Detection in Video

Manjunath Aradhya Paper ID 45: A Fourier Spectral Pattern Analysis to Design Credit Scoring Models

Roberto Saia Paper ID 77: Text Localization in Natural Images through effective re-identification of the MSER

Hanaa Mahmood Paper ID 100: Automatic ROI Detection and Classification for the Achilles Tendon Ultrasound Images

Jamal Benrabha Paper ID 126: Video Surveillance Robot Powered by Raspberry Pi

Jonay Suárez-Armas Paper ID 151: A Regularized Deep Learning Approach for Image De-Blurring

Francesco Lo Conti Session 5: Statistical methods and Big data

18/10/17 | 15.00 – 16.00 Session Chair: Bich-Liên Doan

Paper ID 32: A comparative between Hadoop MapReduce and Apache Spark on HDFS

Mohamed Saouabi Paper ID 33: Impact Evaluation and Detection of Malicious Spoofing Attacks on BLE Based Occupancy Detection Systems

William Oliff Paper ID 86: SWGARCH Model For Time Series Forecasting

Ku Ruhana Ku-Mahamud Paper ID 119: ivga: Visualization of the network of historical events

Rafał Wcisło Paper ID 122: Collaborative SQL-Injections Detection System with Machine Learning

Moisés Lodeiro-Santiago

Schedule | Papers

Session 6: SVM, Neural and Fuzzy approaches

18/10/17 | 16.00 – 17.15 Session Chairs: Dhiya Al-Jumeily Paper ID 4: Field Support Vector Machines

Haochuan Jiang Paper ID 17: ADaPT: Optimizing CNN inference on IoT and mobile devices using approximately separable 1-D kernels

Partha Maji Paper ID 31: Mapping Interest Rate Projections Using Neural Networks Under Cointegration - An Application from Stress Testing Approaches

Nikolas Stege Paper ID 76: EPICE an Emotion Fuzzy Vectorial Space for Time Modeling in Medical Decision

Peter Summons Paper ID 123: On Predicting Glycaemia in Type 1 Diabetes Mellitus Patients by using Support Vector Machines

Ignacio Rodriguez-Rodriguez Paper ID 124: A New Approach for Multi-Biometric Fusion Based on Subjective Logic

Kamer Vishi

Schedule | Papers

Smart Cities Need Smart Citizens: An Internet of Things Approach to Support Cyberphysical Learning of Digital Smart

Citizens

Dr. Yacine Atif

Associate Professor

University of Skövde, Sweden

Yacine Atif is an Associate Professor at Skövde University in Sweden since January 2016. He received a PhD degree in Computer Science from Hong Kong University of Science and Technology (HKUST) in 1996. After graduation, he worked at Purdue University in USA as a Post-Doc and then joined a faculty position at Nanyang Technological University (NTU) in Singapore. Since 1999 he was affiliated with UAE University as a faculty, then Program Chair of Enterprise Systems at the College of Information Technology. Over the last decade, he led several initiatives that are designed to create a rich learning environment to help promote the transformation of education through the innovative use of Web technologies. He introduced the concept of “learning patterns”, bringing together ideas of educational design and architectural abstractions used in software engineering. Lately, his focus shifted towards the evolution of smart cities induced by the emergence of Internet of Things technologies. This evolution calls for new “cyberphysical learning” models in urban informatics environments, which instill new competences for the development of future digital smart citizens.

Abstract: The concept of Smart Cities is an emerging social and technology innovation, attracting large public and private investments at a global scale, arguing for the effective exploitation of digital technologies to drive sustainable innovation and well-being for citizens. However, these investments in infrastructure have yet to be systematically complemented with efforts to prepare the human capital of such cities in terms of core competences needed for driving financial and societal sustainability. Therefore, currently, there is limited understanding on which approaches to use for cultivating such Digital Smart Citizenship competences, that are essential to holistically introduce Smart Cities in the fabric of society. In this context, this keynote introduces

Keynote Speaker | Tuesday

Cyberphysical learning as a generic overarching model to cultivate Digital Smart Citizenship competences, capitalizing and extending on an overview of existing case studies and approaches for developing such competences. The proposed approach exploits the potential of Internet of Things technologies and induced data streams to create authentic education experiences, where learning meets daily life in smart cities context. Proof-of-concept case studies of the proposed cyberphysical learning approach will be presented, to illustrate the transformation of energy management brought by IoT in the context of connected-households. Finally, the keynote reports on the findings of user surveys for eliciting their attitudes to engage with cyberphysical learning environments as a lever to enhance their digital smart citizenship competences.

Information Retrieval: Analysing Models and Experiments

Bich-Liên Doan Associate Professor, Deputy Dean of Research

CentraleSupélec, Université Paris-Saclay, France

Dr. Bich-Liên DOAN received her PhD in Computer Science in 2000. Since 2001, she has been a teacher and researcher in Computer Science at CentraleSupélec, in Gif-sur-Yvette, France. Since 2008, she is Deputy Dean of Research at CentraleSupélec. Her main interest domain is information retrieval, particularly the structural and link analysis. Her current research is related to contextual and more particularly personalized information retrieval. She is interested in new models from semiotics and quantum mechanics that can help in representing information. She co-organized in 2005 and 2007 the context-based information retrieval workshop held in conjunction with the international “Context” conference. She co-organized in 2008, 2009, and 2010 the Contextual Information Access, Seeking and Retrieval Evaluation (CIRSE) Workshop in conjunction with the European Conference on Information Retrieval (ECIR). She has authored forty papers.

Keynote Speaker | Wednesday

Abstract: The long history of Information Retrieval started in the late 1950s and is growing continuously with the increase in processor speed and storage capacity. Online news websites are becoming one of the most popular and influential social media platforms allowing people to easily access information about daily life topics, share their opinions on different issues, and give feedback on published content. Published news requires effective recommendation techniques that help users to find interesting news articles that match with their interests. We investigated a diversification model in order to exploit the user-generated-content and extract valuable information about the domains of interest of users, their political orientation, and their preferences. We are exploring new theoretical models using non classical vector spaces, such as quantum models, in order to capture the uncertain and probabilistic features behind the intention and the non-explicit semantics of text.

Keynote Speaker | Wednesday

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Notes