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Presents news of members' accomplishments or honors, appointments, or other announcements that would be of interest to Society memebers as well as the rest of the engineering community.
This paper presents a preliminary study we have conducted to understand to which extent colors can influence the way we choose urban walking paths beyond the need to move reasonably quick towards our destinations. Building on a mobile application we discuss ColorPath, an application allowing walkers to choose their daily walking routes as a combination of different urban elements to pass through (pleasurable...
The recent release of affordable head mounted displays (HMDs) foretells a near future where a variety of social interactions could be taking place in VR environments. There is little knowledge however as to how actual social conditions impact users during a virtual experience. We investigate this issue by placing 54 individuals into a virtual clothing store and having them witness the exposure of...
Among the many uses of Artificial Intelligence techniques in video games, one particularly relevant from the perspective of the entertainment of the player is the ability to mimic believable behaviours in non-playing characters for first-person-shooter games. In our opinion, the solutions commonly adopted in the industry could be improved by simulating decision making under condition of incomplete...
This work presents a use case on multimodal urban paths in a smart mobility context. The proposed solution builds on the experience already matured and developed by the authors in different fields: crowdsourcing and sensing done by users to gather data related to urban barriers and facilities, computation of personalized paths for users with special needs, and integration of open data provided by...
Mobile games have come to revolutionize the mobile handset and gaming industry, pushing chip vendors to compete in order to provide better and better graphics capabilities by means of dedicated processors. This capability coupled with the sensing and communication ability offered by smartphones, provides the developers with the building blocks for innovative gaming solutions. In particular, multiplayer...
Urban Parking is a problem that costs time and energy. That is why intelligent parking is a field of research growing very quickly. In a city where no sensor infrastructure within each place is deployed but only a counting system at every intersection is available, we show that it still possible to propose an efficient method that determines an itinerary that minimizes the expected time to find an...
Data muling using UAVs/drones is currently emerging as an alternative to the traditional traffic engineering techniques used in wireless sensor networks, when wireless communication is not an option or the least cost-efficient solution. This paper revisits the issue of traffic engineering in Internet-of-Things (IoT) settings, to assess the relevance of using UAVs for the persistent collection of sensor...
We provide a cloud-based journey planner for public transport built upon an efficient core routing engine that updates efficiently timetable information in case of delays. We describe our mobile application along with a service that allows users to assess the suggested journeys offered by the application, built on top of an IoT/FIRE+ infrastructure. Our journey planner contributes to the establishment...
Robust and accurate traffic prediction is critical in modern intelligent transportation systems (ITS). One widely used method for short-term traffic prediction is k-nearest neighbours (kNN). However, choosing the right parameter values for kNN is problematic. Although many studies have investigated this problem, they did not consider all parameters of kNN at the same time. This paper aims to improve...
Routing messages over vehicular ad hoc networks (VANETs) is usually achieved through geographic routing protocols. In such networks, the vehicle dynamics causes rapid changes on the vehicle density and the communication links. In order to be efficient to route messages from a vehicle to another, we need to locate each node (its position), this is achieved by a location service. This study works on...
We propose in this paper a security protocol based on a dynamic change of pseudonyms for privacy in Vehicular Ad hoc NETworks (VANET). Our proposal ensures privacy for the driver and his vehicle whether he is transmitter or receiver of the message. By handling all possible cases of changes in vehicle behavior during traffic, we ensure a safe and secure traffic management. We built the architecture...
Replication is useful for supporting fault-tolerance, reliable and recovery oriented distributed systems. Popular application areas include databases, P2P systems, web services and Internet of Things. In this study, we propose utilizing the checkpointing concept for improving the efficiency of the well-known primary-backup replication protocol in distributed systems. We developed a software framework...
Networked Music Performance (NMP) constitutes a class of ultra-low delay sensitive applications, allowing geographically separate musicians to perform seamlessly as a tele-orchestra. For this application type, the QoS indicator is the mouth-to-ear delay, which should be kept under 25 milliseconds. The mouth-to-ear delay comprises signal processing latency and network delay. We propose a strong collaboration...
The prominent cloud services rely on geographically distributed nodes running replication and other fault-tolerance mechanisms so as to provide flawless availability and dependability. In this paper, we address the communication cost of the well known primary-backup replication protocol, and propose compressed periodic incremental checkpoint algorithms to achieve improved throughput. We set up a replicated...
The need of smart information retrieval systems is in contrast with the difficulties to deal with huge amount of data. In this paper we present a Big Data Analytics architecture used to implement a semantic similarity search tool for natural language texts in biomedical domain. The implemented methodology is based on Word Embeddings (WEs) models obtained using the word2vec algorithm. The system has...
Combining data analytics with homomorphic encryption is an interesting topic, which finds several applications in the healthcare domain because it enables clients with low computational and/or storage capacity to outsource the analysis of potentially large datasets to the cloud while protecting sensitive data from unwanted access. In this work, we propose a framework for evaluating k-means clustering...
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