Lectures / Seminars

A Tool For Sensor Placement and System Monitoring in Assistive Environments

Assistive Environments is a rapidly growing research field where researchers try to introduce state of the art technology into everyday life aiming to improve its quality. Everyone can benefit from it but first and foremost people with special needs such as elderly, disabled or patients. The proposed tool is part of zScope, which is a web based tool that will be able to monitor human behaviour and is responsible for placing and monitoring the various sensors in the environment.

Decision Models in Adaptive Educational Hypermedia Systems

Adaptive Educational Hypermedia Systems (AEHS) have been proposed as the underlying facilitator for personalized web-based learning with the general aim of personalizing learning experiences for a given learner. Adaptive learning objects selection and sequencing is recognized as challenging research issues in adaptive educational hypermedia systems (AEHS). In order to adaptively select and sequence learning objects in AEHS, the definition of adaptation behaviour, referred to as Adaptation Model, is required.

Effective Capacity Theory for Modeling Systems with Time-Varying Servers, with an Application to IEEE 802.11 WLANs

Πολλές απαιτητικές δικτυακές εφαρμογές επιζητούν στοχαστικές εγγυήσεις ποιότητας υπηρεσίας. Όσον αφορά τις εγγυήσεις που σχετίζονται με τις απώλειες των πακέτων δεδομένων, η ασυμπτωτική θεωρία που βασίζεται στις έννοιες του Ισοδύναμου Εύρους Ζώνης και της Ισοδύναμης Χωρητικότητας αποδείχθηκε κατάλληλη για τον υπολογισμό μικρών πιθανοτήτων απωλειών σε συστήματα αναμονής με (σύνθετες) χρονικά μεταβαλλόμενες διεργασίες εισόδου και εξυπηρέτησης. Επίσης, η ασυμπτωτική θεωρία οδήγησε στη δημιουργία απλών μηχανισμών ελέγχου κίνησης για την παροχή των σχετικών εγγυήσεων

Resource allocation techniques for relay networks based on convex optimization techniques

With the growth of wireless networks, the challenges of sustaining higher data rates and coverage, coupled with the requirement for high quality of services, need to be addressed. The use of spatial diversity proves to be an attractive option due to its ability to significantly enhance network performance without additional bandwidth or transmission power.

Multi-view Clustering

The most common scenario in the machine learning setting is to represent data by a single vector, or graph space. However, in real life, multi-modal datasets exist. Each instance in these datasets has multiple representations (views) from various feature spaces. How to effectively combine all views in order to boost the efficacy of machine learning algorithms has led to the emergence of a new research area, called multi-view learning. This talk will focus on the clustering of multi-view data, providing useful insights into the problem and some novel multi-view approaches will be presented.

A Comparative Study of Reinforcement Learning Techniques on Dialogue Management

Adaptive Dialogue Systems are rapidly becoming part of our everyday lives. As they progress and adopt new technologies they become more intelligent and able to adapt better and faster to their environment. Research in this field is currently focused on how to achieve adaptation, and particularly on applying Reinforcement Learning (RL) techniques, so a comparative study of the related methods, such as this, is necessary.

Presentation of public opinion as shaped within the context of Public Consultation

The presentation is related to the final work conducted within the framework of the educational process of the National School of Public Administration and focuses on the comments published in the Public Consultation of the draft legislation as well as the opportunities for export and visualization of information from them. More specifically classification methods and visualization toolς of the trends as shown by the expression of the citizens views are examined, using free software.

Public consultation using Web 2.0 technologies: The Greek case

In times of crisis, as the crisis of democracy that emerged the last decades, the internet and information and communication technology added their own impact in modern proposals for remedying the shortcomings of representative democracy. The purpose of this study is to examine the operation of the public consultation platform OpenGov, the efficiency with which it has been used until today, and the feasibility of using argument visualization tools for improving the quality of consultation.

Smart Antennas and Interference Mitigation Techniques in Cognitive Radio Networks

Smart antennas in the form of beam-forming, spatial multiplexing and MIMO have been widely used in wireless communication networks to enhance data rates, increase coverage and mitigate interference. Various communication standards such as WiMAX and LTE support the use of multiple antennas to enhance quality of transmission and reception of signals. As smart antennas exploit the spatial dimension to increase network capacity, this has been considered as a promising technique to meet ever increasing demand on radio spectrum.

Query expansion using knowledge organisation systems: requirements for natural language processing

The purpose of this presentation is to outline the requirements for natural language processing (NLP) when using knowledge organisation systems (KOS) for query expansion (QE). Knowledge organisation systems such as Term lists (authority files, glossaries, dictionaries, gazetteers), Classification and Categories (classification scheme, taxonomy, subject headings) and Relationship lists (thesaurus, semantic network, ontology) are common tools for query expansion.

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