This combined program is provided 'as is'. More up-to-date information may be avalialbe at each event's official websites.
CPS Week 2018 Program Overview
IPSN
17th ACM/IEEE Conference on Information Processing in Sensor Networks
official website
CPS Week 2018 Conferences:
RTAS ‧ HSCC ‧ IPSN ‧ ICCPS
Other CPS Week 2018 Events:
Workshops ‧ Tutorials ‧ Competitions...
April 11
see all CPS Week events for this day
| 8:00 - 09:00 | Registration Palácio da Bolsa |
| 09:00 - 10:00 | CPS Week Keynote How Can We Rely on Cyber-Physical Systems with Thousands of Software Bugs? Henrique Madeira, University of Coimbra Cyber-physical systems (CPS) are made of software. Lots of it. Small embedded devices may easily reach millions of lines of code. Large scale CPS have billions. Even using the most skeptic bug density estimations for deployed software, there is no escape from the conclusion that most CPS have many thousands of residual bugs. Unfortunately, no one knows exactly where they are in the code, when they will reveal themselves, and, above all, what the consequences of their activation can be. In CPS with demanding safety requirements or exposed to security attacks (which may exploit residual bugs that may also represent security vulnerabilities), residual bugs represent a serious risk. Worse than that, it is not easy to estimate such risk. Hence, paraphrasing a famous Jim Gray's question: Why are residual software bugs a serious threat to CPS and what can be done about it? Attempting to answer this question, the talk provides field data illustrating some key problems, surveys software reliability limits, discusses why it is not trivial to use classic fault tolerance techniques in many CPS, and proposes some futuristic scenarios that may help deal with the residual software bug problem. R01 - Palácio da Bolsa - Level 0 - Pátio das Nações |
| 10:00 - 10:30 | Coffee Break R10 - Palácio da Bolsa - Level 1 |
| 10:30 - 11:30 | Session 1 - Large-Scale ApplicationsSession Chairs: Jie Gao and Pei ZhangPlug-and-play Irrigation Control at Scale. Daniel A. Winkler, Miguel Carreira-Perpi, Alberto E. Cerpa Walkway Discovery from Large Scale Crowdsensing. Chu Cao, Zhidan Liu, Mo Li, Qin Zheng, Wenqiang Wang Monitoring Meteorological Parameters With Crowdsourced Air Traffic Control Data. Roman Trueb, Daniel Moser, Matthias Schaefer, Rui Pinheiro, Vincent Lenders R11 - Palácio da Bolsa - Level 1 - Sala do Tribunal |
| 11:30 - 12:30 | Crazy Ideas Session R11 - Palácio da Bolsa - Level 1 - Sala do Tribunal |
| 12:30 - 14:00 | Lunch R01 - Palácio da Bolsa - Level 0 - Pátio das Nações |
| 14:00 - 15:30 | Session 2 - Information PropagationSession Chair: Sirajum MunirOn the Ability of Mobile Sensor Networks to Diffuse Information. Chen Gu, Ian Downes, Omprakash Gnawali, Leonidas Guibas Continuous Wireless Link Rates for Internet of Things. Haoyang Lu, Wei Gao Charm: Exploiting Geographical Diversity Through Coherent Combining in Low-Power Wide-Area Networks. Adwait Dongare, Revathy Narayanan, Akshay Gadre, Anh Luong, Artur Balanuta, Swarun Kumar, Bob Iannucci, Anthony Rowe Codecast: Supporting Data Driven In-Network Processing for Low-Power Wireless Sensor Networks. Mobashir Mohammad, Mun Choon Chan R11 - Palácio da Bolsa - Level 1 - Sala do Tribunal |
| 15:30 - 16:00 | Coffee Break R10 - Palácio da Bolsa - Level 1 |
| 16:00 - 16:40 | Session 3 - Synchronization of TransmissionSession Chair: Shan LinInterference-Resilient Ultra-Low Power Aperiodic Data Collection. Timofei Istomin, Matteo Trobinger, Amy L. Murphy, Gian Pietro Picco A Stitch in Time and Frequency Synchronization Saves Bandwidth. Anh Luong, Peter Hillyard, Alemayehu Solomon Abrar, Charissa Che, Thomas Schmid, Anthony Rowe, Neal Patwari. R11 - Palácio da Bolsa - Level 1 - Sala do Tribunal |
| 16:40 - 17:30 | Poster/Demo MadnessDemosEMeasure: Using A Smart Device With Consumer-Grade Accelerometer as an Accurate Measuring Scale.V. Chandel, A. Ghose Attributed-based Authentication and Access Control for IoT Home Devices.A. Neto, Y. Pereira, A. Souza, I. Cunha, L. Oliveira Applications on the Signpost Platform for City-Scale Sensing.J. Adkins, B. Ghena, N. Jackson, P. Pannuto, B. Campbell, P. Dutta Battery-free 802.15.4 Receiver.C. Pérez-Penichet, C. Noda, A. Varshney, T. Voigt A Motion-Triggered Stereo Camera for 3D Experience Capture.B. Islam, M. Islam, S. Nirjon Federated Authentication of Things.M. Santos, J. Carneiro, F. Teixeira, A. Franco, M. Henriques, L. Oliveira The OpenChirp Low-Power Wide-Area Network and Ecosystem.A. Dongare, A. Luong, A. Balanuta, C. Hesling, K. Bhatia, B. Iannucci, S. Kumar, A. Rowe A Tool to Access and Visualize Classroom Attendance Data from a Smart Campus.T. Sutjarittham,,H. Gharakheili, S. Kanhere, V. Sivaraman PosePair: Pairing IoT Devices Through Visual Human Pose Analysis.C. Ruiz, S. Pan, A. Sadde, H. Noh, P. Zhang Welcome to My World: Demystifying Multi-user AR with the Cloud.N. Rajagopal, J. Miller, K. Kumar, A. Luong, A. Rowe Walkway Discovery from Large Scale Crowdsensing.C. Cao, Z. Liu, M. Li, W. Wang, Z. Qin PostersSmart Saline Management System.H. Amarasekara, R. Manage, K. Abeywickrama, K. Perera, R. Achchige, J. Wijekoon TrainKo.A. Jayawardena, K. Sachith, J. Wijekoon An iterative approach for Non-Line-of-Sight error mitigation in UWB Localization.J. Park,,S. Imran, Y. Ko, C. Lee, S. Park Pulse Shot: Photo Shooting and Retrieval System Using Heartbeat Information.H. Oshita,,N. Segawa Fast Indoor Localization using WiFi Channel State Information.A. Ahmed,,N. Bergmann, R. Arablouei, F. de Hoog, B. Kusy, R. Jurdak Energy Efficient Mobile Data Collection from Sensor Networks with Range-Dependent Data Rates.N. Annuar, N. Bergmann, R. Jurdak, B. Kusy Multiple Door Opening/Closing Detection System Using Infrasound Sensor.M. Kijima,,Y. Miyagawa, H. Oshita, N. Segawa, M. Yazawa, M. Yamamoto Runtime Adaptation of PHY Settings for Dependable UWB Communications.B. Großwindhager, C. Boano, M. Rath, K. Römer Towards Smaller Checkpoints for Better Intermittent Computing.S. Ahmed, M.,Alizai, J. Siddiqui, N. Bhatti, L. Mottola Road Quality Classification for road repair authorities and regular drivers, Using an on-board Data Logger.H. Tariq, S.,Mazhar, H. Hameed Zero-power Receiver for Touch Communication and Touch Sensing.S. Raphael, M.,Magno Reliable Push Notification for Mobile Users in Interactive Smart Mobile Applications.T. Yang, C. Kim, S. Kim, S. Kim, S. Park Building IoT Nodes - A Flexible Approach.S. Manurkar, K. Ramamritham Long-term Energy-neutral Operation of Solar Energy-harvesting Sensor Nodes under Time-varying Utility.K. Geissdoerfer,,R. Jurdak, B. Kusy Toward Fast Closed-loop Control over Multi-hop Low-power Wireless Networks.F. Mager, D. Baumann, S. Trimpe, M. Zimmerling Combining LoRa and RTK to Achieve a High Precision Self-Sustaining Geo-localization System.M. Magno, S.,Rikli, J. Quack, O. Bunecker, L. Benini An Efficient approach to Multisuperframe tuning for DSME networks.H. Kurunathan, R. Severino, A. Koubaa, E. Tovar R11 - Palácio da Bolsa - Level 1 - Sala do Tribunal |
| 17:00 - 19:30 | CPS Week Poster/Demo, Reception Palácio da Bolsa |
| 19:30 - 21:30 | CPS Week Fringe Event Mercado Ferreira Borges - Hard Club Mercado Ferreira Borges |
| 20:00 - 22:00 | CPS Week TPC Dinner Mercado Ferreira Borges - Mercado Mercado Ferreira Borges |
April 12
see all CPS Week events for this day
| 8:00 - 09:00 | Registration Palácio da Bolsa |
| 09:00 - 10:00 | CPS Week Keynote Dependable Industrial Internet of Things Chenyang Lu, Washington University in St. Louis IoT-driven control underpins numerous cyber-physical systems from Industrial Internet to smart cities. In contrast to best-effort IoT often found in consumer markets, there remain daunting challenges to develop IoT systems that must not only monitor but also control physical systems in a dependable fashion. We will highlight the dependability challenges caused by communication delays, data loss and resource constraints of IoT. We will further discuss cyber-physical co-design as a fundamental approach to achieve dependability in IoT-driven control systems. R01 - Palácio da Bolsa - Level 0 - Pátio das Nações |
| 10:00 - 10:30 | Coffee Break R10 - Palácio da Bolsa - Level 1 |
| 10:30 - 11:30 | Session 4 - Pervasive HardwareSession Chair: Rong ZhengBattery-Free 802.15.4 Receiver Carlos Pérez Penichet. Claro Noda, Ambuj Varshney, Thiemo Voigt Glimpse.3D: A Motion-Triggered Stereo Body Camera for 3D Experience Capture and Preview. Bashima Islam, Md Tamzeed Islam, Shahriar Nirjon The Signpost Platform for City-Scale Sensing. Joshua Adkins, Branden Ghena, Neal Jackson, Pat Pannuto, Samuel Rohrer, Bradford Campbell, Prabal Dutta R15 - Palácio da Bolsa - Level 1 - Sala das Assembleias Gerais |
| 11:30 - 12:30 | Microsoft Indoor Localization Competition Official Results AnouncementSession Chair: Dimitrios LymberopoulosR15 - Palácio da Bolsa - Level 1 - Sala das Assembleias Gerais |
| 12:30 - 14:00 | Lunch R01 - Palácio da Bolsa - Level 0 - Pátio das Nações |
| 14:00 - 15:30 | Session 5 - Learning with Sensor DataSession Chair: Neal PatwariA Deep Data Augmentation Training Method to Address Software and Hardware Heterogeneities in Wearable and Smartphone Sensing Devices. Akhil Mathur, Tianlin Zhang, Sourav Bhattacharya, Petar Velickovic, Leonid Joffe, Nicholas D. Lane, Fahim Kawsar, Pietro Lio Moving Convolutional Neural Networks to Embedded Systems: the AlexNet and VGG-16 case. Cesare Alippi, Simone Disabato, Manuel Roveri (Short Paper) Data-Driven Monitoring and Optimization of Classroom Usage in a Smart Campus. Thanchanok Sutjarittham, Hassan Habibi Gharakheili, Salil Kanhere, Vijay Sivaraman ODDS: Real-Time Object Detection using Depth Sensors on Embedded GPUs. Niluthpol Chowdhury Mithun, Sirajum Munir, Karen Guo, Charles Shelton R15 - Palácio da Bolsa - Level 1 - Sala das Assembleias Gerais |
| 15:30 - 16:00 | Coffee Break R10 - Palácio da Bolsa - Level 1 |
| 16:00 - 17:30 | Session 6 - Machine Learning and Big Data: Where do they fit in CPS? + IPSN Business MeetingPanel Moderator: Jie LiuAfter the Panel Discussion:IPSN Business MeetingR15 - Palácio da Bolsa - Level 1 - Sala das Assembleias Gerais |
| 19:30 - 22:00 | CPS Week Banquet Caves Ferreirinha |
April 13
see all CPS Week events for this day
| 8:00 - 09:00 | Registration Palácio da Bolsa |
| 09:00 - 10:00 | CPS Week Keynote From Rags to Riches - Distributed Economic Model Predictive Control in Industry 4.0 Frank Allgower, University of Stuttgart During the past decades model predictive control (MPC) has become a preferred control strategy for the control of a large number of industrial processes. Systems theoretic properties of MPC, like stability and robustness, are rather well understood by now, as are computational issues in connection with the MPC implementation. With the vision of the smart factory of the future, generally termed Industry 4.0, the industrial environment, and thus the involved control tasks, are however undergoing a fundamental new orientation on the basis of the Cyber-Physical Systems and Internet of Things and Services paradigms. In the future all parts along the production chain will be equipped with embedded computing, communication and networking capabilities and are expected to interact in an optimal way towards the goal of a quality oriented, energy and resource efficient, save and reliable production process. Through decentralized optimal decision-making and an appropriate communication among the networked individual parts, the whole production process of the future is expected to operate optimally. The generation of economic value through control will step in the foreground while the stabilization of predetermined setpoints will not play the same role as it has in the past. In this presentation an introduction to the state of the art in Model Predictive Control will be given and the challenges and opportunities of Industry 4.0 for the field of control are discussed. We will in particular investigate the potential impact of Model Predictive Control (MPC) for the fourth industrial revolution and will argue that some new developments in MPC, especially connected to distributed and economic model predictive control, appear to be ideally suited to have a potential impact in the new Industry 4.0 environment. R01 - Palácio da Bolsa - Level 0 - Pátio das Nações |
| 10:00 - 10:30 | Coffee Break R10 - Palácio da Bolsa - Level 1 |
| 10:30 - 12:30 | Session 7 - Localization and TrackingSession Chair: Shahriar NirjonSlocalization: Sub-muW, Static, Decimeter-Accurate Localization with Ultra Wideband Backscatter. Pat Pannuto, Benjamin Kempke, Prabal Dutta. Magnitude-Based Angle-of-Arrival Estimation, Localization, and Target Tracking. Chitra R. Karanam, Belal Korany, Yasamin Mostofi (Short Paper) Data Fusion for Hybrid and Autonomous Time-of-Flight Positioning. Aymen Fakhreddine, Domenico Giustiniano, Vincent Lenders (Short Paper) Nanosecond-precision Time-of-Arrival Estimation for Aircraft Signals with low-cost SDR Receivers. Roberto Calvo-Palomino, Fabio Ricciato, Blaz Repas, Domenico Giustiniano, Vincent Lenders Enhancing Indoor Smartphone Location Acquisition using Floor Plans. Niranjini Rajagopal, Patrick Lazik, Nuno Pereira, Sindhura Chayapathy, Bruno Sinopoli, Anthony Rowe Orientation-aware RFID Tracking with Centimeter-level Accuracy. Chengkun Jiang, Yuan He, Xiaolong Zheng, Yunhao Liu R21 - Palácio da Bolsa - Level 2 - Auditório António Cálem |
| 12:30 - 14:00 | Lunch R01 - Palácio da Bolsa - Level 0 - Pátio das Nações |
| 15:30 - 16:00 | Coffee Break R10 - Palácio da Bolsa - Level 1 |
| 18:00 - 18:15 | CPS Week Farewell R01 - Palácio da Bolsa - Level 0 - Pátio das Nações |
CPS Week 2018 Program Overview
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