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Institution

Technological Educational Institute of Western Macedonia

About: Technological Educational Institute of Western Macedonia is a based out in . It is known for research contribution in the topics: Symplectic geometry & Numerical integration. The organization has 291 authors who have published 522 publications receiving 7682 citations. The organization is also known as: TEI of West Macedonia & TEI of Western Macedonia.


Papers
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Proceedings ArticleDOI
01 Oct 2018
TL;DR: In this article, the authors evaluate the performance of various MPEG Dynamic Adaptive Streaming over HTTP (DASH) adaptation algorithms over a vehicular network and present detailed simulation results highlighting the advantages and disadvantages of various adaptation algorithms in delivering video content to vehicular users.
Abstract: Video streaming currently accounts for the majority of Internet traffic. One factor that enables video streaming is HTTP Adaptive Streaming (HAS), that allows the users to stream video using a bit rate that closely matches the available band-width from the server to the client. MPEG Dynamic Adaptive Streaming over HTTP (DASH) is a widely used standard, that allows the clients to select the resolution to download based on their own estimations. The algorithm for determining the next segment in a DASH stream is not part of the standard, but it is an important factor in the resulting playback quality. Nowadays vehicles are increasingly equipped with mobile communication devices, and in-vehicle multimedia entertainment systems. In this paper, we evaluate the performance of various DASH adaptation algorithms over a vehicular network. We present detailed simulation results highlighting the advantages and disadvantages of various adaptation algorithms in delivering video content to vehicular users, and we show how the different adaptation algorithms perform in terms of throughput, playback interruption time, and number of interruptions.

7 citations

Journal ArticleDOI
TL;DR: The results show that the US firms with the mandatory requirements do not provide a greater amount of disclosure information in their reporting than their counterparts in Europe (i.e. firms located in Western and Northern Europe).
Abstract: Research on the quality of narrative information of annual financial reports has long been dominated by a lack of tools that permit an objective analysis of qualitative disclosure. This study is focused on accounting disclosure research and proposes a comprehensive index that uses Key Performance Indicators to enhance understanding of the quality of narrative information during the period of 2002–2007, using a sample of European (EU) and USA (US) firms operating in that context. We use previous research of Garefalakis et al. (Corp Ownersh Control 13(4):317–334, 2016) to underscore the relation between the Management Commentary Index and the Weighted Management Commentary Index with several explanatory variables that put emphasis on firms’ attributes regarding their volumes in total assets, their book values, as well as the use of corporate governance indicators, etc. in a regional level. Our results show that the US firms with the mandatory requirements do not provide a greater amount of disclosure information in their reporting than their counterparts in Europe (i.e. firms located in Western and Northern Europe). The proposed approach seeks to enhance understanding of the quality of companies’ narrative information disclosure and reveals a critical path to analyze the link between corporate governance and firms’ performance.

7 citations

Journal ArticleDOI
TL;DR: In the present study, the innovative combination of lignite fly ash with steel-making dust into clay-based red ceramics is undertaken, to contribute both to sustainable use of resources and prevention of soil contamination.
Abstract: Limited amounts of industrial residues are recycled while the remaining huge quantities are stockpiled or disposed of, thus frequently leading to soil contamination. The utilization of industrial residues as valuable secondary resources into ceramics can contribute to efficient waste management and substitution for massive amounts of natural resources (clayey minerals) demanded for ceramic production. The low cost of these residues and even possible energy savings during mixture firing may also be beneficial. In the present study, the innovative combination of lignite fly ash with steel-making dust into clay-based red ceramics is undertaken, to contribute both to sustainable use of resources and prevention of soil contamination. Brick specimens were shaped by extrusion and fired, their microstructure was examined and the effect of the mixture composition and firing temperature on physico-mechanical properties was determined. Ceramic microstructures were successfully obtained by a suitable combination of fly ash with steel dust (5 + 5 wt%) into clays. Properties can be predicted and tailored to meet the needs for specific applications by appropriately adjusting the mixture composition and sintering temperature.

7 citations

Journal ArticleDOI
TL;DR: In this article, the authors proposed a model for predicting the factors that affect the grade of the bank rating by using seven groups of indicators: performance, size, ownership, corporate governance, capital adequacy or capital structure, sovereign country ranking, and loan growth.
Abstract: The crises of 2002 and 2008 have raised the issue of banking sector’s ranking system efficiency. The credit rating agencies (CRAs) are crucial for the modern financial market. The impact that the ratings have is indisputable. This paper is seeking to find the factors that affect the ratings and to create a prediction mechanism. The originality of the paper is based on the fact that it utilizes a number of different variables (ownership status, corporate governance, etc.), and the hypothesis is innovative because it addresses the issue of divergence–convergence of the European banking sector and its respective ratings. In order to do that, all ranking evaluations have been matched with a numerical value (i.e., AAA has value 24, A- has value 18, and B- has value 9). A good grade is considered to be above A- (value 18) and a bad grade below that number. Seven groups of indicators are examined: performance, size, ownership, corporate governance, capital adequacy or capital structure, sovereign–country ranking, and loan growth. Three econometric methods (probit, logit, and OLS) have been used to create a system that predicts the rating grade. The independent variable is binary (good grade = 1/bad grade = 0). Inactive banks have been excluded from the sample. This paper provides a model for predicting the factors that affect the grade of the bank rating. Many of the factors, which other studies have pointed out, are found to be statistically important in our models, too. This paper contributes to the literature by establishing a unique framework for the European banks and identifying the factors that affect the rating grade by giving an answer to the issue of an isomorphic banking sector in Europe. It shows that there are significant differences among the various geographical regions [variables cgsys, ns, European countries with major economic problems or those under stress (Portugal, Ireland, Spain, and Greece)].

7 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20221
202013
201955
201876
201794
201656