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Title Smart city 360 : first EAI International Summit, Smart City 360, Bratislava, Slovakia and Toronto, Canada, October 13-16, 2015. Revised selected papers / Alberto Leon-Garcia, Radim Lenort, David Holman, David Stas, Veronika Krutilova, Pavel Wicher, Dagmar Caganova, Daniela Spirkova, Julius Golej, Kim Nguyen (eds.).
Imprint Switzerland : Springer, 2016.

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Series Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 1867-8211 ; 166
Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ; 166. 1867-8211
Subject City planning -- Environmental aspects -- Congresses.
City planning -- Data processing -- Congresses.
Cities and towns -- Effect of technological innovations on -- Congresses.
Alt Name Leon-Garcia, Alberto,
Lenort, Radim,
Holman, David (David J.),
Stas, David,
Krutilova, Veronika,
Wicher, Pavel,
Cagáňová, Dagmar,
Spirkova, Daniela,
Golej, Julius,
Nguyen, Kim,
EAI International Conference on Sustainable Solution Beyond Mobility of Goods (1st : 2015 : Bratislava, Slovakia; Toronto, Ont.)
MOBIDANUBE (Conference) (2015 : Bratislava, Slovakia; Toronto, Ont.)
International Conference Social Innovation and Community Aspects of Smart Cities (2015 : Bratislava, Slovakia; Toronto, Ont.)
SmartCityCom (Conference) (2015 : Toronto, Ont.)
SUMS (Conference) (2015 : Bratislava, Slovakia; Toronto, Ont.)
Description 1 online resource (xxxiv, 927 pages) : illustrations.
polychrome rdacc
Note Includes author index.
Contents Intro; Preface; MOBIDANUBE; SmartCityCom; SmartCity Toronto; Conference Organization; Contents; SUMS; A Survey on Mobile Sensing Based Mood-Fatigue Detection for Drivers; Abstract; 1 Introduction; 2 Mood-Fatigue Detection of Drivers; 2.1 Fatigue Detection; 2.1.1 Techniques Based on Physiological Signal; 2.1.2 Techniques Based on Physiological Reaction; 2.1.3 Techniques Based on Driving Behavior; 2.2 Mood Detection; 2.3 Mood-Fatigue Detection for Safe Driving; 3 Common Solutions; 3.1 Mobile Sensing; 3.1.1 Sensors; 3.1.2 Communication Technology; 3.2 Mobile Cloud Computing for Big Data Analysis
4 Current Platforms for Safe Driving5 Technical Challenges and Future Research Directions; 5.1 Energy Constraint of Mobile Sensing Network; 5.2 Facial Expression Recognition; 5.3 Security and Privacy; 6 Conclusions; References; Straight from the Horse's Mouth: "I am an Electric Vehicle User, I am a Risk Taker." [EV14, M, c. 30]; Abstract; 1 E-Mobility System; 2 E-Mobility in the Social Media; 3 Methodology -- The Interview; 3.1 Sample Size and Recruitment of Participants; 3.2 EV Interview: Participant's Profile, Motivation and EV Use
3.3 EV Interview: Access to Charge, Workplace and Charging Frequency3.4 EV Interview: Participants' Charging Patterns; 3.5 EV Interview: Participants' Perceptions; 4 EV Study Clustering Analysis; 5 Commenting the EV Study's Clustering Results; 6 Conclusion; Acknowledgement; References; Automated Pedestrians Data Collection Using Computer Vision; Abstract; 1 Introduction; 2 Computer Vision Methodology; 3 Application 1: Automated Distraction Detection Based on Pedestrian Gait Analysis; 4 Application 2: Automated Analysis of Pedestrians Non-conforming Behavior at Urban Crossing
5 Application 3: Examining Pedestrian Evasive Actions as a Potential Indicator for Traffic Conflicts6 Summary; References; 5G-Optimizing Network Coverage in Radio Self Organizing Networks by M/L Based Beam Tilt Algorithm; Abstract; 1 Introduction; 1.1 Objective; 2 Long Term Evolution -- Introduction; 3 Self Organizing Networks -- Introduction; 3.1 Self Optimization Functions; 4 Azimuth Angle of Antenna; 5 Machine Learning; 5.1 Multi Polynomial Regression; 5.2 Stochastic Gradient Descent; 6 Simulation and Results; 6.1 Creation of Virtual Simulation Scenario for Existing Network
6.2 Multi-polynomial Regression Output6.3 Stochastic Gradient Descent Output; 7 Conclusion; 8 Future Work; References; Understanding Intercity Freeway Traffic Variability at Holidays Using Anonymous Cell Phone Data; Abstract; 1 Introduction; 2 Literature Review; 3 Collection and Characteristics; 4 Speed Estimation Methodology; 5 Results Analysis; 6 Conclusions; References; Privacy-Enhanced Android for Smart Cities Applications; Abstract; 1 Introduction; 2 Related Work; 2.1 Advanced Cryptography; 2.2 Android Privacy Research; 3 Project Description; 3.1 PE Android-R; 3.2 Crypto Tool Plan
Note Online resource; title from PDF title page (SpringerLink, viewed July 12, 2016).
ISBN 9783319336817 (electronic bk.)
3319336819 (electronic bk.)
9783319336800 (print)
ISBN/ISSN 10.1007/978-3-319-33681-7
OCLC # 953447415

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