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Kerkyra, Greece

The Ionian University is a university located in the city of Corfu, Greece. It was established in 1984 by the Greek government under the Prime Ministership of Andreas Papandreou, in recognition of Corfu's contribution to education in Greece as the seat of the first University of Greece, the Ionian Academy, that was established in 1824, forty years before the cession of the Ionian islands to Greece and just three years after Greece's Revolution of 1821. Andreas Papandreou thus kept an election promise to the people of Corfu, satisfying their long held demand that a successor university to the Ionian Academy be built. On 21 May 1985, the founding of the Ionian University was announced in a speech at City-Hall square in Corfu city. The Ionian University was created pursuant to presidential order 83/84 ΦΕΚ 31 Α/20-3-84, along with the Aegean University and the University of Thessaly. The university opened its doors to students in 1985. Wikipedia.

Avlonitis M.,Ionian University
Engineering Applications of Artificial Intelligence | Year: 2016

Nowadays, early detection of users' interaction outbreaks is one of the most challenging problem in Human-Computer Interaction research. In this paper a new stochastic differential model for outbreaks detection of an arbitrary time series is proposed. The proposed methodology introduces an explicit stochastic differential law for the evolution of outbreaks, mainly a limiting case of the stochastic generalization of the well known Verhustl model. The key feature of the proposed algorithm is a non-linear transformation of the corresponding population state variable. At the end, the detection of an outbreak regime in time is connected with the detection of a time regime over which the transformed variable obeys a random walk stochastic evolution. An application of the proposed algorithm is given for the problem of outbreaks in users' video interactions where the validity and usefulness of the algorithm is tested. © 2016 Elsevier Ltd.

Kolomvatsos K.,National and Kapodistrian University of Athens | Anagnostopoulos C.,Ionian University | Hadjiefthymiades S.,National and Kapodistrian University of Athens
ACM Transactions on Intelligent Systems and Technology | Year: 2012

Future Web business models involve virtual environments where entities interact in order to sell or buy information goods. Such environments are known as Information Markets (IMs). Intelligent agents are used in IMs for representing buyers or information providers (sellers). We focus on the decisions taken by the buyer in the purchase negotiation process with sellers. We propose a reasoning mechanism on the offers (prices of information goods) issued by sellers based on fuzzy logic. The buyer's knowledge on the negotiation process is modeled through fuzzy sets. We propose a fuzzy inference engine dealing with the decisions that the buyer takes on each stage of the negotiation process. The outcome of the proposed reasoning method indicates whether the buyer should accept or reject the sellers' offers. Our findings are very promising for the efficiency of automated transactions undertaken by intelligent agents. © 2012 ACM.

Oikonomou K.,Ionian University | Stavrakakis I.,National and Kapodistrian University of Athens
IEEE Journal on Selected Areas in Communications | Year: 2010

Service placement is a key problem in communication networks as it determines how efficiently the user service demands are supported. This problem has been traditionally approached through the formulation and resolution of large optimization problems requiring global knowledge and a continuous recalculation of the solution in case of network changes. Such approaches are not suitable for large-scale and dynamic network environments. In this paper, the problem of determining the optimal location of a service facility is revisited and addressed in a way that is both scalable and deals inherently with network dynamicity. In particular, service migration which enables service facilities to move between neighbor nodes towards more communication cost-effective positions, is based on local information. The migration policies proposed in this work are analytically shown to be capable of moving a service facility between neighbor nodes in a way that the cost of service provision is reduced and - under certain conditions - the service facility reaches the optimal (cost minimizing) location, and locks in there as long as the environment does not change; as network conditions change, the migration process is automatically resumed, thus, naturally responding to network dynamicity under certain conditions. The analytical findings of this work are also supported by simulation results that shed some additional light on the behavior and effectiveness of the proposed policies. © 2010 IEEE.

Bobori C.,Ionian University
Advances in Experimental Medicine and Biology | Year: 2015

Huntington’s disease is a neurodegenerative disorder of the brain that is caused by the mutation of the gene which produces a protein called huntingtin (htt). The mutation is based on the continuous repetition of the trinucleotide CAG which in turn makes the protein toxic for the brain cells. As a result neurons which contain the mutant protein begun to atrophy. The loss of those brain cells can cause many problems to the patients, even death. The aim of this paper is to report the problems caused to the brain by the mutant protein, specifically in the area of basal ganglia, the area that is the most affected by the disease, as well as the symptoms and metabolic changes to which the patient is subjected. Finally, the summary of the methods for a more timely and accurate diagnosis of the disease is based on these changes in order to simplify and facilitate the lives of inflicted people by means of the administration of the appropriate treatment. © Springer International Publishing Switzerland 2015.

Leftheriotis I.,Ionian University | Leftheriotis I.,Norwegian University of Science and Technology | Giannakos M.N.,Norwegian University of Science and Technology
Computers in Human Behavior | Year: 2014

Social Media have been gaining in popularity worldwide over the last years at an increasingly growing rate. The introduction of social media in companies enables a new method of communication among colleagues and with customers. Although social media are in the top of the agenda for many companies to date, there seems to be very limited understanding of the usage of social media for work purposes. In this study, we investigate whether employees make use of social media for work purposes, what values increase this usage, and if that usage is related with their performance. Responses from 1799 employees in the insurance industry were used to examine the impact of social media on work. Results confirmed that in the case of social media for work, employees make extended use of them no matter their age. We found also that both utilitarian and hedonic values influence employees to use more social media for their work, at least in the insurance sector. Last but not least, this study confirms that there is an important relation between the use of social media and the work performance. © 2013 Elsevier Ltd. All rights reserved.

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