Ambient intelligence solutions may provide a great opportunity to reduce human effort in home maintenance. With this in mind, we propose an intelligent home assistant robot which can both move along the ground and fly. Such an autonomous multi-functional self learning system could, e.g., keep the dust from furniture, monitor the house , collect objects etc. in complex indoor environments. Strong emphasis is also laid on integrating friendly and intelligent HMI, which can include face and gesture recognition. In order to reach these requirements, proposed robot will use various sensors (cameras, inertial and weather sensors etc.) and sensor data fusion.
The communication presentations (keynote talks, facilitated break-out sessions, posters) will be continuously in May and June.
Kaspars Ozols is scientific assistant at the Institute of Electronics and Computer Science in Latvia.
The research interests of Mr. Ozols include biometric, brain computer interfaces, EEG signal data acquistion and processing, non-uniform sampling, wireless communications, signal processing, smart sensor development.
|CHIST-ERA Conference 2013 - Kaspars Ozols.pdf||373.86 KB|
Kevin Curran is Reader in Computer Science and group leader for the Ambient Intelligence Research Group at the University of Ulster (Northern Ireland).
The research interests of Dr. Curran comprise computer networking and systems; in particular location positioning within indoor environments, pervasive computing and internet security.
The increasing availability and decreasing cost of mobile devices equipped with WiFi radios has led to increasing demand for multimedia applications in both professional and entertainment contexts. The streaming of multimedia however requires strict adherence to QoS levels in order to guarantee suitable quality for end users. MANETs lack the centralised control, coordination and infrastructure of wireless networks as well as presenting a further element of complexity in the form of device mobility. Such constraints make achieving suitable QoS a nontrivial challenge and much work has already been presented in this area. We present out work on a bottom-up routing protocol which specifically takes into account mobility and other unique characteristics of MANETs in order to improve QoS for multimedia streaming. Geographic Predictive Routing (GPR) uses Artificial Neural Networks to accurately predict the future locations of neighbouring devices for making location and mobility-aware routing decisions. GPR is intended as the first step towards creating a fully QoS-aware networking framework for enhancing the performance of multimedia streaming in MANETs.
Leandro Fiorin is Research Associate in ALaRI, the Advanced Learning and Research Institute, part of the Faculty of Informatics of the University of Lugano (Switzerland).
The research interests of Mr. Fiorin include Networks-on-Chips (NoCs), Multiprocessor System-on-Chips (MPSoCs), Reconfigurable Systems.
The design of next generation heterogeneous computing platforms is facing new challenges: the scaling provided by Moore’s law led to hitting the “power wall” as well as to falling under the law of diminishing returns, for which density increase was not met by accompanying performance increase. The use of heterogeneous multiprocessor platforms, both in the embedded and in the high performance computing seems the right approach to be followed. However, a number of new directions at the design and at run-time are now open to be explored for optimizing the system both in terms of performance and energy efficiency: number and type of processors, use of dedicated accelerators, resiliency of the overall system, mapping of applications into existing cores, software application customization, etc. In this poster, we summarize our research activity in the optimization of fault-tolerant and adaptive computing platforms, as results of the participation in several EU and national projects focusing on the development of methodologies for the multi-objective design space exploration of multiprocessor system-on-chip platforms.
|CHIST-ERA Conference 2013 - Leandro Fiorin.pdf||267.65 KB|
Marcin Luckner is assistant professor in the Unit of Application of Computer Science and Numeric Methods of the Faculty of Mathematics and Information Science at Warsaw University of Technology (Poland).
The research interests of Dr. Luckner include Pattern Recognition, Classification, Matching, Geographic Information System, Support Vectors Machines, Neural Networks, Decision Trees.
Distributed Denial of Service (DDoS) attacks can block machines or services. A long term attack is very cheap, but its costs can be significant. Moreover, the attack cannot be stopped by the victim, because it utilizes all resources. Distributed probes grouped in a hierarchical structure that detect attacks before the culmination can be a solution. The probes are distributed among nodes of network and collects data about traffic. An analyzer groups information from probes and forewarns about attack. The main problem in the described issue are a huge flow of information that should be analyzed and a varied character of DDoS attack that evolves in time.
|CHIST-ERA Conference 2013 - Marcin Luckner.pdf||307.55 KB|
Michael Packianather is Senior Lecturer in the Institute of Mechanical and Manufacturing Engineering of Cardiff University (United Kingdom).
The research interests of Dr. Packianather include intelligent manufacturing systems, neural networks, pattern recognition, expert systems, fault diagnosis, quality control, signal processing, feature selection, data mining and machine learning, optimisation methods, bio-informatics, medical engineering, design of experiments ,and micro/nano technologies.
Supporting Rehabilitation of Disabled Using Industrial Robots for Upper Limb Motion Therapy. The innovative factors here will be to use the patient’s brain to control the rehabilitation robots, with series of the interactive 3D animations, games and entertainment, therapy programmes, and exercises to help patients actively and interactively involve in the rehabilitation process. The rehabilitation system will be developed using smart sensors integrated to the robotic platform. The system will have a knowledge base supplemented with soft computing techniques and self learning paradigms. The system will have capabilities for classification, clustering, diagnosis, trend analysis, scoring, prediction, optimisation, and decision making.
Peter Passmore is Senior Lecturer in Computer Science at Middlesex University in London (United Kingdom).
Adaptive simulation requires agents that are able to sense and understand their environment and situation, and respond autonomously to trainee actions and situational events”, that can be used in simulation and training, in domains such as critical incident management, command and control training, and intelligence analysis etc. The adaptive simulation agents could create responses that are informed by the users’ action, the immediate situation, and environmental factors of the training simulation environment, and potentially be deployed in real and virtual worlds.
|CHIST-ERA Conference 2013 - Peter Passmore.pdf||360.55 KB|
Qianni Zhang is lecturer at the Queen Mary University of London.
The research interests of Dr. Zhang include Image and video analysis and processing, semantic media analysis, content based multimedia retrieval, annotation and classification, multimedia systems in social environment, multimedia clustering and summarization, multi-feature fusion, semantic modeling and inference, surveillance video analysis, visual based schematic component detection, multi-view posture classification, medical image understanding.
The new generation of media Internet envisages an ambient, content-centric Internet-based environment, highly flexible and secure, where people can work, meet, participate in live events, socialise and share experiences, as they do in real life, but without time, space and affordability limitations. To achieve this, integration of cutting-edge technologies related to 3D data acquisition and processing, sound processing, autonomous avatars, networking, real-time rendering, physical interaction and emotional engagement in virtual worlds is required. The challenge encompasses two aspects. First, adapting the latest 3D content creation software to create new tools. Second, how to utilise it within a social network environment.
Sabri Pllana is an Associate Professor at the Department of Computer Science of the Linnaeus University in Sweden.
The research interests of Prof. Pllana include intelligent programming environments and performance-oriented software engineering for parallel and distributed systems.
Programming heterogeneous computing systems so far proved to be prohibitively difficult for mainstream programmers. Commonly research projects have avoided addressing fundamental issues of programming heterogeneous systems and provided similar (directive-based) solutions with the well-known limitations. We argue that it is now the time to rethink the heterogeneous programming and go beyond directive-based languages.
|CHIST-ERA Conference 2013 - Sabri Pllana & Danny Weyns.pdf||155.5 KB|