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University of Peloponnese, Greece

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10 Papers

Improving Recommendation Quality in Collaborative Filtering by Including Prediction Confidence Factors

Topics: Collaborative Filtering; Recommendation Systems

Authors: Kiriakos Sgardelis ¹ , Dionisis Margaris ¹ , Dimitris Spiliotopoulos ² , Costas Vassilakis ³ and Stefanos Ougiaroglou ⁴

Affiliations: ¹ Department of Digital Systems, University of the Peloponnese, Sparta, Greece , ² Department of Management Science and Technology, University of the Peloponnese, Tripoli, Greece , ³ Department of Informatics and Telecommunications, University of the Peloponnese, Tripoli, Greece , ⁴ Department of Information and Electronic Engineering, International Hellenic University, Thessaloniki, Greece

Digital Object Identifier: 10.5220/0013052200003825

Proceedings of WEBIST 2024, ISBN: 978-989-758-718-4

Quick Abstract

Collaborative filtering is a prevalent recommender system technique which generates rating predictions based on the rating values given by the users’ near neighbours. Consequently, for each user, the items scoring the highest prediction values are recommended to them. Unfortunately, predictions inherently entail errors, which, in the case of recommender systems, manifest as unsuccessful recommendations. However, along with each rating prediction value, prediction confidence factors can be computed. As a result, items having low prediction confidence factor values, can be either declined for recommendation or have their recommendation priority demoted. In the former case, some users may receive fewer recommended items or even none, especially when using a sparse dataset. In this paper, we present an algorithm that determines the items to be recommended by considering both the rating prediction values and confidence factors of predictions, allowing for predictions with higher confidence factors to outrank predictions with higher value, but lower confidence. The presented algorithm achieves to enhance the recommendation quality, while at the same time retaining the number of recommendations for each user.

Predicting Agricultural Product and Supplies Prices Using Artificial Intelligence

Topics: Intelligent Information Systems; Information Technology and Information System Research

Authors: Ioannis Dionissopoulos ¹ , Fotis Assimakopoulos ² , Dimitris Spiliotopoulos ² , Dionisis Margaris ³ and Costas Vassilakis ¹

Affiliations: ¹ Department of Informatics and Telecommunications, University of the Peloponnese, Tripoli, Greece , ² Department of Management Science and Technology, University of the Peloponnese, Tripoli, Greece , ³ Department of Digital Systems, University of the Peloponnese, Sparta, Greece

Digital Object Identifier: 10.5220/0013071600003838

Proceedings of KMIS 2024, ISBN: 978-989-758-716-0

Quick Abstract

This work focuses on the prediction of agricultural product and supply prices using historical data and artificial intelligence methods. Agricultural product and supply prices are important for the economy and growth of agriculture. Using modern data analysis and deep learning methods, a forecasting model was developed to help us predict future price trends. The data used include the sales prices of crop products and the purchase prices of agricultural inputs. The developed forecasting methods exhibit high accuracy for predicting the actual prices of products and supplies, with error margins ranging from 0.29% to 9.8%, while they can also predict price rises and falls, with respective success rates ranging from 73.29% to 84.96%.

A User Interface for Tuning QoS Parameters in Recommendation-Based Business Process Scenario Adaptation

Topics: Human Computer Interaction; Design of Web Interface ; Web Interfaces and Applications; Interaction Design, User and Web Interface Modelling

Authors: Kiriakos Sgardelis ¹ , Dionisis Margaris ¹ , Dimitris Spiliotopoulos ² and Costas Vassilakis ³

Digital Object Identifier: 10.5220/0012207500003584

Proceedings of WEBIST 2023, ISBN: 978-989-758-672-9

Quick Abstract

The Web Services Business Process Execution Language (BPEL) is a special-purpose language that orchestrates web services into a high-level business process. A typical BPEL scenario contains invocations to preselected web services, along with their parameters. However, many recent research works support dynamic service selection, based on user-set policies and criteria. Furthermore, users may request a service recommendation, in which case functionally equivalent service offerings by different providers will be considered by the personalization module. Along with the recommendation request, users provide the policy parameters, which include minimum and maximum bounds for the non-functional attributes concerning the service, and the system exploits these bounds to select and use the optimal candidate services. However, in many real-life cases, a person will accept/purchase a product or a service that exceeds the threshold(s) that initially he/she has set, e.g., if the overhead is marginal or the offer is deemed appealing, or no satisfactory service candidates are identified using the initial settings. In this paper, we present and evaluate a specialized User Interface that allows the user to review service candidates marginally exceeding the specified bounds and consider them while making the final service selection.

Performance Evaluation of the Clustering Based Sequence Equalizer in Direct Detection Optical Communication Links

Topics: Optical Communications and Networking; Photonic in Communications and Switching

Authors: Kristina Georgoulakis and George-Othon Glentis

Affiliation: University of Peloponnese, Greece

Digital Object Identifier: 10.5220/0005342601130120

Proceedings of PHOTOPTICS 2015, ISBN: 978-989-758-092-5

Quick Abstract

In this paper the performance of the Clustering Based Sequence Equalizer is investigated in the context of Intensity Modulated Direct Detection optical communications links operating at 10Gb/s, when non-return to zero on-off keyed and optical differential encoded phase shift keyed transmission is employed. The aforementioned equalizer provides an attractive implementation of the Maximum Likelihood Sequence Estimation, comprising of two successive steps, namely a) nonparametric estimation of the channel response using a cluster based approach and b) sequence estimation using the Viterbi algorithm. The performance of the cluster based equalizer in fiber links is investigated my means of computer simulation.

Related Ontology Subjects/Areas/Topics (5)

Optical Communications and Networking		Photonic in Communications and Switching		Photonics, Optics and Laser Technology
Optics		Photonics

HYRA: An Efficient Hybrid Reporting Method for XG-PON Upstream Resource Allocation

Topic: Passive Optical Networks

Authors: Panagiotis Sarigiannidis ¹ , Georgios Papadimitriou ² , Petros Nicopolitidis ² , Emmanouel Varvarigos ³ and Konstantinos Yiannopoulos ⁴

Affiliations: ¹ University of Western Macedonia, Greece , ² Aristotle University of Thessaloniki, Greece , ³ University of Patras, Greece , ⁴ University of Peloponnese, Greece

Digital Object Identifier: 10.5220/0005048200050014

Proceedings of OPTICS 2014/ICETE, ISBN: 978-989-758-044-4

Quick Abstract

The dynamic bandwidth allocation (DBA) process in the modern passive optical networks (PONs) is crucial since it greatly influences the whole network performance. Recently, the latest new generation PON (NGPON) standard, known as 10-gigabit-capable passive optical network (XG-PON), standardized by the international telecommunication union telecommunication standardization sector (ITU-T), emerges as one of the most efficient access networking framework to cope with the demanding needs of the fiber to the x (FTTX) paradigm, where x stands for home (FTTH), bulding (FTTB), or curve (FTTC). Motivated by the fact that the ITU-T specifications leave the bandwidth allocation process open for development by both industry and academia, we propose a novel DBA scheme for effectively delivering data in the upstream direction. Our idea is based on a subtle suggestion induced by the XG-PON specifications; each developed DBA method should combine both status reporting (SR) and traffic monitoring (TM) techniques. This means that a XGPON framework should be cognitive enough in order to be able either to request bandwidth reporting from the connected users or estimate users’ bandwidth demands or both. In this article we cover this gap by proposing a robust learning from experience method by utilizing a powerful yet simple tool, the learning automata (LAs). By combining SR and TM methods, the proposed hybrid scheme, called hybrid reporting allocation (HYRA), is capable of taking efficient decisions on deciding when SR or TM method should be employed so as to maximize the efficacy of the bandwidth allocation process. Simulation results reveal the superiority of our scheme in terms of average packet delay offering up to 33% improvement.

Related Ontology Subjects/Areas/Topics (3)

Optical Communication Systems

Passive Optical Networks

Telecommunications

On the Prediction of EPON Traffic Using Polynomial Fitting in Optical Network Units

Topic: Passive Optical Networks

Authors: I. Mamounakis ¹ , K. Yiannopoulos ² , G. Papadimitriou ³ and E. Varvarigos ¹

Affiliations: ¹ Computer Technology Institute and Press "Diophantus" and University of Patras, Greece , ² University of Peloponnese, Greece , ³ Aristotle University of Thessaloniki, Greece

Digital Object Identifier: 10.5220/0005056200150021

Proceedings of OPTICS 2014/ICETE, ISBN: 978-989-758-044-4

Quick Abstract

We propose a traffic prediction algorithm that reduces the packets delay in Ethernet Passive Optical Networks (EPONs). The algorithm relies on Multi-Point Control Protocol (MPCP) message and traffic monitoring at the Optical Network Units (ONUs) and utilizes the monitoring information to predict the accumulated burst size using higher order least-mean-square polynomial approximations. The simulation of the algorithm shows that it achieves a delay improvement of over 30% without any further modification in the communication and bandwidth assignment procedure of the EPON.

Related Ontology Subjects/Areas/Topics (3)

Optical Communication Systems

Passive Optical Networks

Telecommunications

STATISTICAL TRAFFIC MULTIPLEXING WITH SERVICE GUARANTEES OVER OPTICAL CORE NETWORKS

Topics: Network Architectures; Network Protocols; Next-Generation Communication Networks; Performance Evaluation; Quality of Service (Qos)

Authors: A. Drakos , T. Orphanoudakis , C. (T) Politi and A. Stavdas

Affiliation: University of Peloponnese, Greece

Digital Object Identifier: 10.5220/0002991701140118

Proceedings of DCNET 2010/ICETE, ISBN: 978-989-8425-25-6

Quick Abstract

Statistical multiplexing at the optical layer has been considered a critical requirement in order to build the next generation of ultra-high capacity optical transport networks in a cost-efficient manner. However, even today, the state of the art of commercially available optical core networks is based on mature wavelength switching and routing technologies, which lack a transport and control plane architecture that can support statistical traffic multiplexing with guaranteed Quality of Service (QoS) across a wide range of QoS parameters even if they can support fast reconfiguration at msec time scales. For several years, most research efforts have focused on the concepts of Optical Burst Switching (OBS) and Optical Packet Switching (OPS), which are based on the hybrid use of electronic nodes and optical switches to exploit Time Division Multiplexing (TDM) in order to achieve statistical multiplexing and dynamic resource reservation over optical networks. While burst switching has been experimentally proven as a technically feasible technique, its performance suffers especially under strict requirements for QoS guarantees. In this paper we evaluate the performance gains that can be achieved exploiting statistical multiplexing over a large scale core optical network and we demonstrate the efficiency of the CANON architecture (Clustered Architecture for Nodes in an Optical Network) as a viable alternative to OBS, which can achieve both targets for statistical multiplexing gains and QoS guarantees at the same time.

Related Ontology Subjects/Areas/Topics (9)

Data Communication Networking	Next-Generation Communication Networks	Software Engineering
Network Architectures	Performance Evaluation	Software Project Management
Network Protocols	Quality-Of-Service	Telecommunications

MEETING VISITORS’ EXPECTATIONS - The Perceived Degree of Museumness

Topics: Learning Organizations; Context Dependent Learning

Authors: Angeliki Antoniou and George Lepouras

Affiliation: University of Peloponnese, Greece

Digital Object Identifier: 10.5220/0001830601870192

Proceedings of CSEDU 2009, ISBN: 978-989-8111-82-1

Quick Abstract

Defining a physical or virtual space as a museum, seems to have clear implications on visitors’ behaviour and particularly learning behaviour. Past research shows that it is essential to identify different museum types and consider their similarities, differences and special features in order to be able to make valid research hypotheses. However, visitors would not always define certain types of museums as museums. Therefore, we wished to study how visitors view the different museum types and their main reasons for visiting different museums. Investigating visitors’ different definitions and expectations, we used questionnaires which were also used to produce a scale of museumness, the degree to which a certain museum type fits visitors’ museum stereotypes. The analysis of the data allowed the creation of a list of guidelines for the development of educational technology for museum use.

Related Ontology Subjects/Areas/Topics (5)

Computer-Supported Education		Learning Organizations		Ubiquitous Learning
Context Dependent Learning		Social Context and Learning Environments

REVERSE ENGINEERING ELECTRONIC SERVICES - From e-Forms to Knowledge

Topics: Software Maintenance; Reverse Engineering

Authors: Costas Vassilakis , George Lepouras and Akrivi Katifori

Affiliation: University of Peloponnese, Greece

Digital Object Identifier: 10.5220/0001313202730278

Proceedings of ICSOFT 2006, ISBN: 978-972-8865-69-6

Quick Abstract

On their route to e-governance, public administrations have developed e-services. Each e-service encompasses a significant amount of knowledge in the form of examples, help texts, legislation excerpts, validation checks etc. This knowledge has been offered by domain experts in the phases of service analysis, design and implementation, being however bundled within the software, it cannot be readily retrieved and used in other organizational processes, including the development of new services. In this paper, we present an approach for reverse engineering e-services, in order to formulate knowledge items of a high level of abstraction, which can be made available to the employees of the organizations. Moreover, the knowledge items formulated in the reverse engineering process are stored into a knowledge-based e-service development platform, making them readily available for use in the development of other services.

Related Ontology Subjects/Areas/Topics (9)

Applications	Neurocomputing	Pattern Recognition
Health Engineering and Technology Applications	Neurotechnology, Electronics and Informatics	Reverse Engineering
Maintenance	Operational Research	Software Engineering

MOBILITY MANAGEMENT FOR BEYOND 3G RECONFIGURABLE SYSTEMS

Topics: Mobile Services (WASP, ASP, MSP); 4G Systems

Authors: Nancy Alonistioti ¹ , Alexandros Kaloxylos ² and Andreas Maras ²

Affiliations: ¹ The University of Athens, Greece , ² The University of Peloponnese, Greece

Digital Object Identifier: 10.5220/0001410400050012

Proceedings of ICETE 2005, ISBN: 972-8865-33-3

Quick Abstract

Reconfiguration is the action of modifying the operation or behaviour of a system, a network node, or functional entity when specific events take place. This paper describes an integrated control and management plane framework for end-to-end reconfiguration, and maps this model to a Beyond 3G mobile network architecture. Emphasis is provided on the reconfiguration actions that take place when a session setup or a handover are executed in a heterogeneous mobile network.

Related Ontology Subjects/Areas/Topics (4)