3rd EAI International Conference on IoT in Urban Space / / edited by Rui José, Kristof Van Laerhoven, Helena Rodrigues |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (XII, 179 p. 54 illus., 49 illus. in color.) |
Disciplina |
621.382
307.76 |
Collana | EAI/Springer Innovations in Communication and Computing |
Soggetto topico |
Electrical engineering
Electronics Microelectronics User interfaces (Computer systems) Signal processing Image processing Speech processing systems Management Industrial management Urban planning City planning Communications Engineering, Networks Electronics and Microelectronics, Instrumentation User Interfaces and Human Computer Interaction Signal, Image and Speech Processing Innovation/Technology Management Urbanism |
ISBN | 3-030-28925-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- CityFlow: Supporting Spatial-Temporal Edge Computing for Urban Machine Learning Applications -- Ethical and Social Aspects of Connected and Autonomous Vehicles: A Focus on Stakeholders’ Responsibility and Customers’ Willingness to Share Data -- Evaluating Street Networks for Predictive Policing -- SESSION 2: Design challenges in Urban IoT -- Challenges in Using IoT in Public Spaces Exploring new Digital Affordances of city life -- A Comprehensive View on Quality Characteristics of the IoT Solutions -- Connected Vehicles in the Shark Tank: Rethinking the Challenge for Cybersecurity to Keep Pace with Digital Innovation -- SESSION 3: Methods and technologies for IoT -- AudioIO: Indoor Outdoor Detection on smartphones via Active Sound Probing -- Day-ahead Load Forecasting based on Conditional Linear Predictions with Smoothed Daily Profile -- GANonymizer: Image Anonymization Method Integrating Object Detection and Generative Adversarial Network -- Performance Evaluation of Source Routing Minimum Cost Forwarding Protocol over 6TiSCH Applied to the OpenMote-B platform -- SESSION 4: Urban mobility and Connected Vehicles -- Analysis of time of use and intermodality of ride-hailing services in Singapore using mobile web traffic data -- An Exploratory Study of Relations between Site Features and I2V Link Performance -- Urban Landscape Revolution: The Potential of Connected Vehicles and Their Impact on the Mobility Ecosystem -- Review of Technological and Economic Considerations on Future Vehicle Design: Autonomous, Connected, Electric, and Shared Vehicles -- Conclusion. |
Record Nr. | UNINA-9910366590303321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Human Activity Sensing : Corpus and Applications / / edited by Nobuo Kawaguchi, Nobuhiko Nishio, Daniel Roggen, Sozo Inoue, Susanna Pirttikangas, Kristof Van Laerhoven |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XII, 250 p. 140 illus., 98 illus. in color.) |
Disciplina |
005.437
4.019 006.25 |
Collana | Springer Series in Adaptive Environments |
Soggetto topico |
User interfaces (Computer systems)
Data mining Application software Microprogramming User Interfaces and Human Computer Interaction Data Mining and Knowledge Discovery Information Systems Applications (incl. Internet) Control Structures and Microprogramming |
ISBN | 3-030-13001-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Optimizing of the Number and Placements of Wearable IMUs for Automatic Rehabilitation Recording -- Identifying Sensors via Statistical Analysis of Body-Worn Inertial Sensor Data -- Compensation Scheme for PDR using Component-wise Error Models -- Towards the Design and Evaluation of Robust Audio-Sensing Systems -- A Wi-Fi Positioning Method Considering Radio Attenuation of Human Body -- Drinking gesture recognition from poorly annotated data: a case study -- Understanding how Non-experts Collect and Annotate Activity Data -- MEASURed: Evaluating Sensor-based Activity Recognition Scenarios by Simulating Accelerometer Measures from Motion Capture -- Benchmark performance for the Sussex-Huawei locomotion and transportation recognition challenge 2018 -- Effects of Activity Recognition Window Size and Time Stabilization in the SHL Recognition Challenge. |
Record Nr. | UNINA-9910349283403321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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