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Computer-based advising is focusing on factors that facilitate advice giving in educational systems. In this paper, an intelligent advice generation module is presented. As a testbed for our research, we have incorporated the advice generation mechanism in a Facebook application for language learning. A significant feature in the proposed framework of advice generation is user modeling. The advice...
In this paper, a cognitive analysis of the factors of the influence of heavy metals on the aquatic ecosystem is performed. Its purpose is to simplify and to improve the efficiency of further modeling process of the aquatic ecosystems under the heavy metals influence identification on the basis of a neural network. The analysis revealed the least important factors to ignore them in the simulation.
In this paper, we propose the use of data mining methods to promote face to face interaction between members of distance language learning communities. We develop a system that collects data from different Moodle platforms and social networks in order to extract detailed profiles of the members, as well as an estimation of correlation among users. Moreover, we describe an enhancement of the Moodle...
In this paper we consider the design and the implementation of a machine learning approach and its integration with a widely used energy simulation platform. We focus on auction based energy markets which require their participants to bid for their energy demands or offers at small time intervals. Our agent based system utilize weather data to teach both consuming devices and renewable energy sources...
This paper addresses the problem of tracking the time evolution of communities within co-authorship networks. We consider an evolutionary clustering approach which adapts the statistical framework of shrinkage estimation to obtain a smoothed version of the overall affinity matrix as the optimal weighted average between the matrices of past and current affinities. Moreover, the current affinity matrix...
A new optimization method based on the Evolutionary Algorithm (EA) is developed for solving the Minimum Cost Hybrid Berth Allocation Problem (MCHBAP) with fixed handling times of vessels. The goal of the MCHBAP is to minimize the total costs of waiting and handling, as well as earliness or tardiness of completion, for all vessels. It is well known that this kind of problem is NP hard. The main problem...
Urban road congestion estimation is a challenge in traffic management. City traffic state can vary temporally and spatially between road links, depending on crossroads and lanes. In addition, congestion estimation requires some sort of tuning to "what is around" to trigger appropriate reactions. An adaptive aggregation mechanism of position data is therefore crucial for traffic control....
A survey of small to medium-sized enterprises (SMEs) was carried out, in the high-technology and hardware design services industries in Scotland, with an emphasis on innovation. The survey was to investigate the changing needs of such industry for innovation skills in its employees, and whether those needs are being met by graduates from further education and higher education. For this purpose, two...
Supply chain consists of many participants across multiple levels of business world. From producers to suppliers, to transporters and to retailers the number of interacting participants rises as the supply chain expands its boundaries. As the size of supply chain grows the problems within it increased too. The modern supply chain is not limited in a small national market where the participants are...
Lung cancer is one of the deadliest types of cancer around the world. Epidemiologic studies have shown that genetic variability is among the factors that affect a person's susceptibility to lung cancer. A recent study conducted by a team of researchers from the United States National Cancer Institute among 14,000 Asian women found out that Asian women, whether smokers or not, are more prone to developing...
Graphs are currently the epicenter of intense research as they lay the theoretical groundwork in diverse fields ranging from combinatorial optimization to computational neuroscience. Vertex centrality plays a crucial role in graph mining as it ranks them according to their contribution to overall graph communication. Specifically, within the social network analysis context centrality identifies influential...
This plenary session will cover speech processing research advances with the emphasis on speech and audio coding methods. In the session, we will discuss the fundamental principles, techniques, and algorithms used in current coding applications including a summary of codecs for telecommunication standards. The session will start with a discussion on: the basic speech representation methods, the performance...
This paper describes both the settings and a subset of the results of an empirical study that has been conducted among the students of the Hellenic Open University. The empirical study's aim was to provide sufficient data for the architectural design of the educational model of students in order to support their educational process. The resulting architectural design includes student models and their...
In this paper we present issues concerning the implementation of associated open data of public character. A prerequisite for the connection of open data is the previous semantic annotation of data stored in open data flies such as those found in form, .XLS, .CSV and JSON. For this reason, we deal with the first part of the procedure concerning the clean-up of the source file and production RDF triples...
The rapid evolution of technology in Management Information Systems has enabled easy access to a huge amount of complex and specialized business information. The vast amount of business information has created the need for investigating ways to improve the efficiency and effectiveness of information retrieval techniques for querying business information. Among the different types of business information,...
This paper focuses on the evaluation experiment of a Virtual Reality (VR) museum. The exhibits of the VR museum are tools that are related to olive trees and olive oil. For the implementation of the experiment, we have used cognitive walkthrough enhanced with an extra phase for testing the user-friendliness and naturalness of human-computer interaction. According to the method some scenarios are designed...
The rapid adoption of wireless technologies has increased the interest of many laboratories about the field of Wireless Sensor Network (WSN) or the Radio-Frequency Identification (RFID) technology which has emerged as a winning combination for the implementation of an advanced assistance system within smart environments. To fulfill the important mission of a technological assistance, an algorithm...
Disease outbreak detection is an immensely beneficial yet a very delicate procedure. Its output can potentially provide immeasurable help and save countless lives in preventing further problems. Thus, the method must be as accurate and precise as possible. This paper discusses the Disease Outbreak Detection System, which is an online system developed to aid public health workers as they resolve this...
Near Field Communication (NFC) is a technology for wireless short-range communication. The main attribute of NFC is proximity and that data transmission will take place only within a very small area. However, NFC-based applications are still not prevalent due to slow progress of NFC hardware penetration. In this paper, we present A-NFC, an NFC-like communication system, which operates on existing...
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