Chair: Teng Joon Lim, National University of Singapore, Singapore
Date: Tuesday 06 February 2018
Teng Joon (T. J.) Lim (S’92-M’95-SM’02-F’17) grew up in Singapore, obtained the B.Eng. degree in Electrical Engineering with first-class honours from the National University of Singapore in 1992, and the Ph.D. degree from the University of Cambridge in 1996. From September 1995 to November 2000, he was a researcher at the Centre for Wireless Communications in Singapore, one of the predecessors of the Institute for Infocomm Research (I2R). From December 2000 to May 2011, he was Assistant Professor, Associate Professor, then Professor at the University of Toronto’s Edward S. Rogers Sr. Department of Electrical and Computer Engineering. Since June 2011, he has been a Professor at the National University of Singapore’s Electrical & Computer Engineering Department, where he served as the Deputy Head (Research and Graduate Programs) from July 2014 to August 2015, and is currently Vice-Dean (Graduate Programmes) in the Faculty of Engineering.
Professor Lim is an Area Editor (in the Wireless Communications Theory and Systems I area) of the IEEE Transactions on Wireless Communications, and previously served as an Associate Editor for the same journal. He has also served as an Associate Editor for IEEE Wireless Communications Letters, Wiley Transactions on Emerging Telecommunications Technologies (ETT), IEEE Signal Processing Letters and IEEE Transactions on Vehicular Technology. He has volunteered on the organizing committee of a number of IEEE conferences, including serving as the TPC co-chair of IEEE Globecom 2017, and TPC chair of the IEEE International Conference on Communication Systems (ICCS) 2016.
Professor Lim’s research interests span many topics within wireless communications, including the cyber-security for the Internet of Things, heterogeneous networks, cooperative transmission, energy-optimized communication networks, multi-carrier modulation, MIMO, cooperative
Paper Title: Software Execution Freeze-Safe Microcontroller Using Power Profile Tracking for IoT-Driven Connected Services
Authors: Hyeongrae Kim (Kyungpook National University, Korea); Daejin Park (Kyungpook National University (KNU), Korea)
When we consider the safety of Internet of Things (IoT), it is quite important that a fault on a single IoT device affects the whole IoT system. If this fault causes isolation at a certain point, the system will freeze. To prevent this, we attempt dynamic monitoring using data samples made from power profile tracking. This paper proposes MCU with low-power monitoring hardware and software using power profile tracking. IoT devices connected with Bluetooth are used to make up a state power map. Then, it is transmitted via Wi-Fi and becomes a system power map, which is stored in LUT, and the monitoring unit watches for whether a fault occurs or not. By the proposed method, we enable low-power, freeze-safe IoT development.
Paper Title: Platform for Industrial Internet and Digital Twin Focused Education Research and Innovation – Ilmatar the Overhead Crane
Author: Juuso Autiosalo (Aalto University, Finland)
The paper presents first experiences on an overhead crane platform targeted for university education, research, and innovation purposes. The main contributions feature a description of projects from the first year after the inauguration of the crane platform. To provide a basic perception on the potential of the platform, the paper presents the basic technical properties as well as opportunities and challenges of the crane platform. Digital Twin concept has been selected as a focus of the research activities on the platform. Hence, the paper reviews status of the term Digital Twin. Results describe experience-based observations on how university should manage an education, research, and innovation platform while collaborating with industry partners.
Paper Title: Statistical Analysis of CO2 Emission Based on Road Grade, Acceleration and Vehicle Specific Power for Public Utility Vehicles: An IoT Application
Authors: Maria Gemel Palconit (University of San Carlos & Cebu Technological University, Philippines); Warren A. Nuñez (University of San Carlos, Philippines)
In the Philippine transport, the public utility vehicles (PUVs) are one of the top emitters of CO2 emissions (CO2e). Moreover, the need of quantifying the CO2e of PUV is important in reducing the emission. Hence, this paper focuses on the statistical evaluation of CO2e of PUV based on the parameters affecting it —road grade, acceleration, and vehicle specific power (VSP). An Internet of Things (IoT) system with onboard CO2 sensors, GPS receivers, wireless communication nodes and a base station, online elevation query, cloud server, and an online IoT monitoring dashboard were used to remotely gather, store and visualize the needed measurements. The correlations of CO2e according to these parameters were analyzed using statistical tools—histograms, box plots, and scatter plots. Results have shown that the correlation of PUV CO2e with respect to downhill roads, uphill roads, and acceleration follows a U-shaped curves with the trough from the ranges of -19% to -3% at -16%, 3% to 22% at around 13% to 16%, and from -4m/s2 to 3m/s2 at -2m/s2, respectively. Likewise, significant changes of CO2e were observed at different levels of VSP. Evidently, the mentioned factors have significantly affected the CO2e of the PUVs.