FINANCIAL AND ACCOUNTING INFORMATION SYSTEMS INTEROPERABILITY

The current economic developments have led to substantial changes in terms of how thefinancial and accounting activities are carried. The business environment can be characterized by awidespread consolidation of companies and their grouping in holding companies. Thus, the focus ison consolidation the financial data, and the integration and interoperability of the financial andaccounting applications and also the integrated information systems have a major significance. Withthe development of the Internet, the architecture of the informatics applications has really beenaffected, this resulted in substantial changes in how the solutions are distributed and accessed aswell. The present paper analyses and provides viable solutions for the use of the technologieswhich are applied in the interoperability of the financial and accounting information systems, in thecontext of economic activity globalization. The dynamism and economic processes development in thenew context have generated important researches in the informatics field which had resulted insimplifying the access way to applications (by simply using a Web browser) and also developing theinterconnecting technologies for the financial and accounting information systems – theirinteroperability represents, in fact, the Keyword.On this economic scenery, the financial and accounting information systems become very importantsolutions to integrate different business applications and also to offer a complete perspective for allthe business.SOA (Service Oriented Architecture), Informational Integrated Systems, XML (eXtended MarkupLanguage), Visual Studio .NET, Web Services

«E-SCIENTROCHAIR»- ONLINE DATABASE FOR MANAGEMENT AND ASSESSMENT OF THE RESEARCH RESOURCES OF THE UNIVERSITY BASIS UNIT – THE CHAIR

The concept named e-ScientRoChair proposes searching for new informing and documentation opportunities, on fundamental structure in academic scientific research, meaning the chair or the research team, anabling the possibility to publish and as well as toOnline Database, Chair, Scientific Exchange, Scientific Research Components

Representativeness and Diversity in Photos via Crowd-Sourced Media Analysis

In this paper we present a hybrid three steps mechanism for automated-human media analysis employed for selecting a small number of representative and diverse images in the context of a noisy set of images. The first step consists in the automatic retrieval from web of a large database of candidate images. In the second step, a proposed image analysis method is employed with the goal of diminishing the time, pay and cognitive load and implicitly people’s work. This is done by automatically selecting a set of potentially relevant and diverse images. Considering the semantic gap between low-level features and high-level semantics in images, the last step is necessary and consists in images being annotated and assessed by the crowd. The aim is to evaluate the level of representativeness and diversity of the selected set of images and providing images of highest quality. The method was validated in the context of the retrieval of images with monuments and using more than 30,000 images retrieved from various social image search platforms

Identification and modeling of the three rotational movements of a miniature coaxial helicopter

This paper presents the identification of a miniature coaxial helicopter system. First, the helicopter flying principles are described and the hardware setup of the developed platform is presented. Further, linear models are developed for the movements of the helicopter using prediction error identification methods. The results in this case are accurate and can be used for performant controller design in some operating points. But in order to model the complete dynamics of the helicopter, nonlinear models are developed using recurrent dynamic neural networks. In this case the models obtained present a higher accuracy compared with the linear case and also with the results published until now. In the end, the advantages of nonlinear modeling based on neural networks is emphasized and some conclusions are drawn. </jats:p

FINANCIAL CONTAGION AND INVESTORS BEHAVIOR

International capital markets, in general, seem to be volatile markets, influenced bymany factors, a phenomenon that affects both developed markets, as well as least developed, withemerging market economies suffering most because of this. It is clear, however, that volatility willremain for as long as it is delayed the adoption of specific measures at national and internationalfinancial architecture level, measures that may be necessary to reduce these risks, to limit theirimpact, and that the question financial market can relapse in a manner as efficiently as possible.investor behaviour, financial crisis, rational investor, irational investor, financial contagion

ROMANIA'S REAL CONVERGENCE TO THE EUROPEAN UNION Dragos Mihai Ungureanu , Permanent Representation of Romania to the European Union Ruxandra Dana Vilag, Romanian-American University Bucharest George Horia Ionescu, Romanian-American University Bucharest Florian Bogdan Stoian, “Lucian Blaga†University of Sibiu

In the process of European integration, switching in 1999 to the third stageof Economic and Monetary Union, has intensified the need to coordinate economic andsectoral policies of the Member States. The process of coordination is necessary toharmonize national economic policy objectives in order to minimize the negative impactof economic policy measures taken by some member countries to other member countriesand reduce the temptation for Member States to have behavior riders. Real Convergenceis an essential goal of Romanian integration into the European Union. Attenuation of thedevelopment gaps maintained between Romania and the EU can not be achieved solelythrough the use of market forces. Economic transformations occurring globally andincreased risk aversion contributed to a signifiant reduction of capital flows to Romania,increased pressures upon exchange rate.Real convergence, nominal convergence, integration, European Union

ASSESING THE IMPLEMENTATION OF REAL CONVERGENCE IN ROMANIA

The convergence is an essential objective of the integration process of Romania in the European Union. Minimizing gaps in the level of development that arise between Romania and the average European Union can not be achieved solely through the use of marconvergence, European Union, real convergence

Deep Learning vs Spectral Clustering into an active clustering with pairwise constraints propagation

International audienceIn our data driven world, categorization is of major importance to help end-users and decision makers understanding information structures. Supervised learning techniques rely on annotated samples that are often difficult to obtain and training often overfits. On the other hand, unsupervised clustering techniques study the structure of the data without disposing of any training data. Given the difficulty of the task, supervised learning often outperforms unsupervised learning. A compromise is to use a partial knowledge, selected in a smart way, in order to boost performance while minimizing learning costs, what is called semi-supervised learning. In such use case, Spectral Clustering proved to be an efficient method. Also, Deep Learning outperformed several state of the art classification approaches and it is interesting to test it in our context. In this paper, we firstly introduce the concept of Deep Learning into an active semi-supervised clustering process and compare it with Spectral Clustering. Secondly, we introduce constraint propagation and demonstrate how it maximizes partitioning quality while reducing annotation costs. Experimental validation is conducted on two different real datasets. Results show the potential of the clustering methods

An in-depth evaluation of multimodal video genre categorization

International audienceIn this paper we propose an in-depth evaluation of the performance of video descriptors to multimodal video genre categorization. We discuss the perspective of designing appropriate late fusion techniques that would enable to attain very high categorization accuracy, close to the one achieved with user-based text information. Evaluation is carried out in the context of the 2012 Video Genre Tagging Task of the MediaEval Benchmarking Initiative for Multimedia Evaluation, using a data set of up to 15.000 videos (3,200 hours of footage) and 26 video genre categories specific to web media. Results show that the proposed approach significantly improves genre categorization performance, outperforming other existing approaches. The main contribution of this paper is in the experimental part, several valuable interesting findings are reported that motivate further research on video genre classification