Battery Dynamics and Battery-free Communication in IoT Applications
Prof. Christian Rohner, Department of Information Technology, Uppsala University, Sweden
Date: 28th September 2018
Time: 11.15 AM
Changing batteries is not always an option for the Internet of Things (IoT) with billions of devices, yet ambient energy harvesting cannot in any case provide sufficient power to replace them. IoT applications typically follow a sense-compute-communicate paradigm in which communication is the most power hungry operation. Efforts to reduce power consumption have therefore focused on reducing the amount of data to be sent and putting the communication interface asleep as much as possible.
This talk addresses two diametral yet complementing approaches to the battery dilemma: First, we take into account battery dynamics to design protocols that achieve longer battery lifetime. Second, we introduce LoRea backscatter communication to enable battery-free long-range communication and discuss its implications on the sense-compute-communicate paradigm.
Aggregation of epistemic uncertainty - how to mimic human aggregation of subjective uncertain information
Prof. Koichi Yamada, Nagoaka University of Technology, Information and Management Systems Engineering, Graduate School of Engineering, Japan
Date: 27th September 2018
Time: 10.30 AM
Koichi Yamada received B.Eng. in Control Engineering in 1978, and M.Eng. and PhD in Systems Science in 1980 and 1996 respectively, all from Tokyo Institute of Technology, Japan. He worked as a research engineer for Mitsubishi Research Institute, Inc. from 1980 to 1987, Digital Equipment Corporation Japan, Inc. from 1987 to 1989, and Yamatake-Honeywell Co., Ltd from 1989 to 1996. He also worked as a project leader in Laboratory for International Fuzzy Engineering Research developed by MITI, Japan between 1991 and 1993. In 1996 he joined Nagaoka University of Technology as an associate professor and is currently a full professor in Department of Information and Management Systems Engineering. He was a board member of Japan Society for Fuzzy Theory and Intelligent Informatics in 7th, 8th and 11th terms. His main research interests are automated reasoning, machine learning, knowledge discovery, decision making under uncertainty and affective Engineering.
Social Media Analysis for Trajectory Discovery in Large-Scale Events
Prof. Paolo Trunfio (ACM Distinguished Speaker) – Associate Professor of Computer Engineering at University of Calabria, Italy
Date: 28th September
Time: 9.30 AM
The widespread use of social media platforms such as Twitter and Instagram allows scientists to collect huge amount of data posted by people interested in a given topic or attending a popular event. This data can be analyzed to infer patterns and trends about people behaviors related to a topic or an event on a very large scale. Social media posts are often tagged with geographical coordinates or other information that allows identifying user positions, this way enabling the discovery of mobility patterns analysis using trajectory mining techniques. This lecture describes a methodology for discovering behavior and mobility patterns of users attending large-scale public events, by collecting and analyzing social media posts. The methodology is demonstrated through two case studies. The first one is an analysis of geotagged tweets for learning the behavior of people attending the 2014 FIFA World Cup. The second one is a mobility pattern analysis on the Instagram users who visited EXPO 2015. In both cases, a very high correlation was measured between official attendee numbers and those produced by our analysis, which shows the effectiveness of the proposed methodology and the accuracy of the results.
Relational Database Technology - Does it have a future or is it just history?
Dr. Kevin Seneviratne – B.Sc. Mathematics (Colombo), M.Sc. Applied Statistics (Colombo), PhD Statistical Computing (Reading/Colombo)
Date: 27th September 2018
Time: 2.15 PM
The relational database model has served us well. Invented by E. F. Codd in 1970, made commercially available as a SQL database by Oracle in 1979, it is going strong 48 years later! It is still being taught at universities around the world and is very much a key part of the IT industry.
To stay relevant over time the offerings have morphed into various forms. Database Appliances such as Exadata/Teradata and Cloud-based options like Redshift are still providing the backbone for most petabyte-scale data warehouses.
However, the technology is under siege from many directions. On the data warehousing front, it is, for example, being very effectively challenged by Hadoop/Spark clusters. In-Memory and Data Grid offerings are challenging it in the area of transactional applications. Offerings such as Google Spanner and Microsoft’s Cosmos DB are threatening to make distributed transactional processing almost trivial.
Most of these challengers are not built the same way as the traditional relational database systems. However most of them do provide a SQL like interface and can in some cases masquerade very effectively as a relational database system.
The first part of this lecture will look at the recent past of Relational Databases, how they have evolved, and where their greatest challenges are going to come from in the future.
The second part will look at the impact of Serverless technologies and AI on the future of database technology as a whole. It will also take a look at a few interesting edge cases.
dApps: The Token Economy
Dr. Kasun De Zoysa B.Sc. (Computer Special) (Colombo), Ph.Lic.(Stockholm), Ph.D. (Stockholm)
Date: 28th September 2018
Time: 2.10 PM
A standard web application runs on a web server which is owned and operated by an organization giving it full authority over the application and its workings. The decentralized Applications (dApps) are digital applications or programs that exist and run on a blockchain or P2P network of computers instead of a web server, and are outside the purview and control of a single authority.
In the context of cryptocurrencies, the dApps exist and run on blockchain network in a public, open source, decentralized environment and are free from control and interference from any single authority. Since these types of applications are not owned by anyone, it can’t be shut down, and cannot have downtime. Ethereum works as a platform to deploy dApps without any need to code an entire blockchain from scratch. In this keynote, we will discuss how dApps work and explore some popular and ambitious Ethereum dApps to understand the present token economy.