Challenges of the Internet of Things
Technique, Use, Ethics
Inbunden, Engelska, 2018
Av Imad Saleh, Mehdi Ammi, Samuel Szoniecky, France) Saleh, Imad (Paris 8 University and Cergy-Pontoise University, France) Ammi, Mehdi (University of Paris-Saclay, France) Szoniecky, Samuel (Paris 8 University
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Fri frakt för medlemmar vid köp för minst 249 kr.This book will examine the issues of IoT according to three complementary axes: technique, use, ethics. The techniques used to produce artefacts (physical objects, infrastructures), programs (algorithms, software) and data (Big data, linked data, metadata, ontologies) are the subject of many innovations as the field of IoT is rich and stimulating. Along with this technological boom, IoT uses colonize new fields of application in the fields of transport, administration, housing, maintenance, health, sports, well-being. ... Privileged interface with digital ecosystems now at the heart of social exchanges, the IoT develops a power to act whose consequences both good and bad make it difficult to assess a fair business.
Produktinformation
- Utgivningsdatum2018-09-21
- Mått163 x 239 x 20 mm
- Vikt522 g
- FormatInbunden
- SpråkEngelska
- Antal sidor288
- FörlagISTE Ltd and John Wiley & Sons Inc
- ISBN9781786303615
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Imad Saleh is Full Professor in information science and communication, and Director of the Paragraphe laboratory (Paris 8 University and Cergy-Pontoise University, France).Mehdi Ammi is Associate Professor at the University of Paris-Saclay, France, and a researcher at the LIMSI laboratory.Samuel Szoniecky is Associate Professor in digital humanities at Paris 8 University, France, and a researcher at the Paragraphe laboratory (Paris 8 University and Cergy-Pontoise University, France).
- Introduction xiImad Saleh, Mehdi Ammi and Samuel SzonieckyChapter 1 Internet of Things (IoT): Concepts, Issues, Challenges and Perspectives 1Imad Saleh1.1 Introduction 11.2 The connected object (CO) 21.3 Internet of Things: definition 31.3.1 Applications 51.4 Steps and technologies in the IoT ecosystem 51.4.1 IoT architecture 61.5 From the IoT to the Internet of Everything (IoE) 91.6 IoT and Big Data 101.7 Cloud computing applied to Big Data and the IoT 131.8 Data science and the IoT 131.9 Stakes and challenges of the IoT 141.9.1 Technological challenges 141.9.2 Societal challenges 151.9.3 Environmental challenges 161.9.4 Confidence in the IoT 161.9.5 Challenges for businesses 161.9.6 Challenges for researchers 171.10 Opportunities and threats in the IoT ecosystem 171.11 IoT security 181.12 Blockchain and the IoT 201.12.1 Definition 201.12.2 Operation 201.12.3 Applications 221.13 Conclusion 221.14 References 24Chapter 2 Deep Learning Approach of Raw Human Activity Data 27Hamdi Amroun, M’Hamed (Hamy) Temkit and Mehdi Ammi2.1 Introduction 272.2 State of the art 292.3 Experimental configuration 332.4 Analysis of the activity 342.4.1 Neural network architecture 342.5 Results 412.6 Discussion 422.7 Conclusion 442.8 References 44Chapter 3 Study and Development of a Smart Cup for Monitoring Post-stroke Patientsʼ Activities at Home 53Mehdi Ammi, Mehdi Boukallel, Margarita Anastassova, Hamdi Amroun and Maxence Bobin3.1 Introduction 533.2 Related work 553.2.1 Upper limbs motor assessment tools 553.2.2 New platforms for stroke assessment 563.2.3 Activity analysis and monitoring 563.2.4 Tasks and rehabilitation exercises for strokes 573.3 Design concept 583.3.1 Task identification 583.3.2 Monitored information 593.3.3 Sensory feedback 613.4 Implementation of the prototype 613.4.1 Grasping force detection 623.4.2 Liquid level detection 623.4.3 Orientation detection 633.4.4 Relative position detection 633.5 Data processing 643.5.1 Orientation calculation 643.5.2 Tremor detection 653.5.3 Activity recognition 673.6 Planned studies 723.6.1 Studies with therapists 723.6.2 Studies with patients 723.7 Conclusion and perspectives 723.8 References 73Chapter 4 Enabling Fast-prototyping of Connected Things using the WiNo* Family 77Adrien Van Den Bossche, Réjane Dalcé and Thierry Val4.1 Introduction 774.2 Context 794.3 State of the art 804.4 Introducing the WiNo* family 854.4.1 WiNoRF22 and TeensyWiNo 874.4.2 WiNoLoRa 894.4.3 DecaWiNo 904.4.4 Summary of WiNo nodes 924.5 Results and examples of use 934.5.1 WiNo and TeensyWiNo 934.5.2 WiNoLoRa 974.5.3 DecaWiNo 984.5.4 Summary and comparative analysis 994.6 Conclusion and outlook 1004.7 Acknowledgments 1014.8 References 101Chapter 5 Multi-standard Receiver for Medical IoT Sensor Networks 105Tarak Arbi and Benoit Geller5.1 Introduction 1055.2 General context 1065.2.1 OFDM 1065.2.2 Characteristics of IEEE 802.11a/b/g/n/ac standards 1075.3 The IEEE 802.15.6 standard 1095.3.1 The WBAN frame 1105.3.2 Specificities of the WBAN physical layer 1115.4 Physical layer design 1145.4.1 Frame synchronization 1145.4.2 Frequency synchronization 1155.4.3 Time synchronization 1175.5 Simulation results 1185.6 Conclusion 1205.7 References 120Chapter 6 Ambient Atoms: a Device for Ambient Information Visualization 123Sébastien Crouzy, Stan Borkowski and Sabine Coquillart6.1 Introduction 1236.2 Previous research 1256.2.1 Dedicated ambient displays that do not integrate a display screen 1256.2.2 Generic ambient displays that do not include a display screen 1266.3 Ambient Atoms: user’s point of view 1266.4 Ambient Atoms: hardware and software components 1276.4.1 Hardware: microcontroller 1276.4.2 Hardware: LEDs 1286.4.3 Software 1296.5 Ambient Atoms: prototype applied to the housing information visualization 1306.6 Future research and conclusion 1336.7 Acknowledgments 1346.8 References 134Chapter 7 New Robust Protocol for IoV Communications 137Lylia Alouache, Nga Nguyen, Makhlouf Aliouat and Rachid Chelouah7.1 Introduction 1377.2 Latest developments 1387.2.1 Architecture of the IoV 1387.2.2 Communication obstacles 1397.2.3 Related work 1407.3 Multi-criterion routing protocol 1457.3.1 Applications and services 1467.3.2 Multi-criterion routing protocols in IoV communications 1487.4 Conclusion and perspectives 1597.5 References 161Chapter 8 Interconnected Virtual Space and Theater: A Research–Creation Project on Theatrical Performance Space in the Network Era 165Georges Gagneré, Cédric Plessiet and Rémy Sohier8.1 Introduction 1658.2 A multidisciplinary experiment involving live performance and digital art 1668.2.1 Defining avatar and mocaptor 1668.2.2 System description 1678.2.3 From Kinect to Perception Neuron: a new mobility 1688.3 Acting relationship between the mocaptor and the avatar 1708.3.1 Controlling the avatar’s spatial disposition 1708.3.2 The mocaptor’s reference space: the Ninja Theory example 1718.3.3 A closer look at the articulation of the reference spaces 1738.3.4 Mobility of the mocaptor in their performance space 1748.4 From mocaptor to avatar from a technical perspective 1758.4.1 Two-stage motion retargeting 1758.4.2 Avatar movement: combination of multiple sources 1778.4.3 Combination with independent behavior: pathfinding 1798.4.4 An architecture oriented toward interconnected objects 1818.5 A practical application that raises new questions 1838.5.1 New experimentation spaces for actors, directors and digital artists 1838.5.2 The problem of visual composition for augmented scenes 1848.5.3 Redefining the role of the digital artist 1878.6 Conclusion 1888.7 References 188Chapter 9 Mobile Telephones and Mobile Health: a Societal Question Under Debate in the Public Domain 191Brigitte Juanals9.1 Introduction 1919.2 An interdisciplinary activity sector and field of research: between connected health and connected well-being 1939.3 “Boundary objects”, socioeconomic strategies and innovative forms of sociotechnical mediation in equipped mobility 1969.4 Mobile health-care service access systems: toward intermediation or disintermediation? 1989.5 Forms of regulation of mobile health-care access: a legal, technical and sociopolitical issue under debate 2049.6 Conclusion and new avenues of research 2109.7 References 211Chapter 10 Modeling Power to Act for an Ethics of the Internet of Things 215Samuel Szoniecky10.1 Introduction 21510.2 Principles of ethical modelling 21610.2.1 Theoretical principles 21710.2.2 Graphic principles 21810.3 Calculating the complexity of an ecosystem 22810.3.1 Existential complexity 22810.3.2 Comparing the complexity of points of view 23110.4 Automatic ecosystem enrichment 23510.4.1 Constitution of raw data corpus 23510.4.2 Transformation of raw data 23810.5 Conclusion 24110.6 References 243List of Authors 247Index 249