Designing, translation: learning and evaluation of a Greek/English writing to Braille

The “Greek/English Writing to Braille” translation software helps users during the conversion of every Greek writing (either toneless or polytonic) to Braille, as well as British or Ancient Greek writing to Braille. The translation is completed automatically, eliminating the mistakes risk even for an experienced Braille user. Software’s operators can also print the translated Braille texts, using the appropriate Braille machinery. There also the potential of self-learning, which concerns the second part of the software, by learning Greek and English writing to Braille using a PC instead of the manual typewriter that has been used up till now. The operator works out the Greek or English scripts on the software textboxes, typing a variety of combinations of Braille writing, while the software automatically displays the text directly to Braille form. The software also offers the ability to type Braille combinations and automatically appears Greek text. Finally, it is proposed for a self-teaching practice for the Braille writing

E-Banking Integrated Data Utilization Platform WINBANK Case Study

We all are living in information society. Companies and Organizations have many information networks. But when we talk about information, we talk about a wide notion. Scope of modern organizations is not only having data. Their target is to gain competitive advantages from them. The basic means to achieve their target are the use of modern and steady methodologies and systems depend on them, in order to find hidden patterns or models. Our platform is an innovative one. We specify our methodology taking into account human factor and we build an integrated data utilization system. In the next paragraphs, we introduce our techniques and system

Damage classification in reinforced concrete beam by acoustic emission signal analysis

Acoustic Emission (AE) is a non-destructive testing technique which can be used to identify both the damage level and the nature of that damage such as tensile cracks and shear movements at critical zones within a structure. In this work, the acoustic emission parameters of amplitude, rise time, average frequency and signal strength were used to classify the damage and to determine the damage level. Laboratory experiments were performed on a beam (150 x 250 x 1900 mm). The acoustic emission analysis was successfully used to determine crack movements and classify damage levels in accordance with the observations made during an increasing loading cycle

Early-age monitoring of fresh cementitious material by acoustic emission

Concrete properties are mainly affected by the fresh state since it has a significant impact on the long-term concrete performance. In this study, acoustic emission (AE) was applied to monitor the behavior of fresh cement paste. AE is based on the detection of high-frequency elastic waves originating from different material sources. This highly sensitive technique provides data that contribute to a deeper understanding of the different ongoing processes for fresh concrete, as the possible AE sources are many. Characterization of each different source type is difficult and therefore, a combined methodology of AE, capillary pressure in the matrix and specimen deformation was applied to monitor the fresh cement paste

Data Mining for Decision Support in e-banking area

ABSTRACT The introduction of data mining methods in the banking area due to the nature and sensitivity of bank data, can already be considered of great assistance to banks as to prediction, forecasting and decision support. Concerning decision making, it is very important a bank to have the knowledge of (a) customer profitability and their grouping according to this parameter and (b) association rules between products and services it offers in order to more sufficiently support its decisions. Object of this paper is to demonstrate that keeping track of customer groups according to their profitability and discovery of association rules between products and services it offers to those groups, is of major importance as to its decision support

Predictive Models and Knowledge Management in e-Banking Data

ABSTRACT Knowledge Management exercises significant influence in establishment and development of a company. A modern such approach is data mining. Data mining is the search for relationships and patterns that exist in data sets, but are "hidden" among the vast amounts of data. These relationships and patterns represent valuable knowledge about the data set. Through data mining methods, certain variables obtained from observation can be represented by means of various models like neural networks and decision trees. Many companies and organizations use nowadays such tools, that contribute to the more effective control and exploitation of their knowledge and information. In the present paper prediction models, a popular data mining method is studied, by the use of an example coming from the real world and specifically electronic banking. It is demonstrated that prediction models contribute to the more efficient knowledge management in electronic banking sector

Monitoring early-age acoustic emission of cement paste and fly ash paste

In this study, a combined approach of several monitoring techniques was applied to allow correlations between the AE activity and related processes such as shrinkage and settlement evolution, capillary pressure and temperature development in fresh cementitious media. AE parameters related to frequency, energy, and cumulative activity which exhibit sensitivity to the particle size distribution of cement paste are compared with inert fly ash (FA) leading to isolation of the mechanical sources from the chemical ones. Characterization of the origin of different processes occurring in cement paste during hydration is complex. Although acoustic emission (AE) monitoring has been used before, a qualitative relation between the microstructural formation or other early-age processes and the number or parameters of AE signals has not been established. The high sensitivity of AE enables the recording of elastic waves within the cementitious material, allowing the detection of even low-intensity activities