THE INFLUENCE OF RATING INDICATORS IN MACROECONOMIC DECISIONS

On the basis of major macroeconomic decisions are the internal indicators calculated by different institutions and also the rating indicators calculated by the foreign rating institutions. Based on these indicators a country has a lower or a greater level of risk for future investments. Not always a higher risk level corresponds to a higher level of income. There are many situations when we have to know the potential risks in order to take a wise decision. In the paper I presented the calculation methodologies of the country rating for the main agencies and I made a comparison between various levels of sovereign ratings for European Union countries.rating methodologies, Fitch, Moody’s, Standard & Poors, Coface, risk, decision

ARTIFICIAL NEURAL NETWORKS AND THEIR APPLICATIONS IN BUSINESS

In modern software implementations of artificial neural networks the approach inspired by biology has more or less been abandoned for a more practical approach based on statistics and signal processing. In some of these systems, neural networks, or parts of neural networks (such as artificial neurons), are used as components in larger systems that combine both adaptive and non-adaptive elements. There are many problems which are solved with neural networks, especially in business and economic domains.neuron, neural networks, artificial intelligence, feed-forward neural networks, classification

AN ECONOMETRICAL MODEL FOR CALCULATING THE ROMANIAN GROSS DOMESTIC PRODUCT

This article analyzes the possibility of determining the Romanian Gross Domestic Product on the basis of a linear model, based on macroeconomic indicators such as unemployment, inflation, exchange rate. The proposed solution allows forecasting the Gross Domestic Product for the following period of time based on equation determined from the model in order to develop scenarios for improving the macroeconomic situation of Romania. The article also can be a starting point in the field of strategic investments, both at macro and micro level. Any foreign investor, before starting a business in another country, calculated and also made predictions about the economic situation of that country, in order not to lose the investment made.regression, GDP, inflation, unemployment, forecast

CLASSIFICATION OF EUROPEAN UNION COUNTRIES FROM DATA MINING POINT OF VIEW, USING SAS ENTERPRISE GUIDE

With the development of computers and the increasing the amount of data it appeared the need of identifying new acquaintances, unknown until that moment in a relatively short time. The term of data mining involves the analysis of data from different views (aspects) in order to extract the knowledge to use them further in the foundation of decisions at microeconomic or macroeconomic levels. In this article we apply data analysis techniques such as principal component analysis and cluster analysis in order to group the countries of the European Union based on the financial indicators registered at the end of 2009 year.classification, cluster, data mining, European Union, financial indicators

SMART CARDS - UTILITY, APPLICATIONS AND VULNERABILITIES

The Internet has taken its place beside the telephone and television as an important part of people’s lives. Consumers use the Internet to shop, bank and invest online. Most consumers use credit or debit cards to pay for online purchases, but other payment methods, like “e-wallets,” are becoming more common. But not all the payments are safe there are a lot of fake sites, hackers, viruses.smart cards, e-payment, vulnerabilities, security

Studying the cyclicality of the economy and prediction of new high risk of economic crises: a case study on the European countries from 1995 to 2018

From ancient time the economies had periods of expansion followed by recession, each crisis was determined by various internal or external factors. With globalization, economic interconnection and the liberalization of resource exchange between states, high risk of economic crises have sprung up. The main purpose of the article is to determine a data model, using specific data analysis techniques, and based on it to study the economic cyclicality in Europe and the prediction of a possible economic crisis. The study was conducted on a number of 37 indicators selected from 11 categories, a set of 29 countries in Europe and over a period of 24 years (19952018) using the K-Means algorithm. Grouping the data for each country in three classes and describing each class by taking into account the variables with the highest discriminative power, leads to the main conclusion that in the next several years, an economic crisis in Europe has a high probability to be a reality

New Method for Localization and Human Being Detection using UWB Technology: Helpful Solution for Rescue Robots

International audienceTwo challenges for rescue robots are to detect human beings and to have an accurate positioning system. In indoor positioning, GPS receivers cannot be used due to the reflections or attenuation caused by obstacles. To detect human beings, sensors such as thermal camera, ultrasonic and microphone can be embedded on the rescue robot. The drawback of these sensors is the detection range. These sensors have to be in close proximity to the victim in order to detect it. UWB technology is then very helpful to ensure precise localization of the rescue robot inside the disaster site and detect human beings. We propose a new method to both detect human beings and locate the rescue robot at the same time. To achieve these goals we optimize the design of UWB pulses based on B-splines. The spectral effectiveness is optimized so the symbols are easier to detect and the mitigation with noise is reduced. Our positioning system performs to locate the rescue robot with an accuracy about 2 centimeters. During some tests we discover that UWB signal characteristics abruptly change after passing through a human body. Our system uses this particular signature to detect human body

Software-as-a-Service Programs and Project management: A Case Study on Odoo ERP

The paper aims at presenting the particular way of implementing Odoo ERP (Enterprise Resources Planning) within the Cloud environment, in order to manage the activities involved by a research project. To successfully achieve the objectives of the project - from choosing the research topic to writing the main body of study and disseminating critical information - the Odoo Project module allows the researchers to establish the stages involved in the implementation process, the description of related tasks, the appointment of persons responsible with the procedures of carrying out of the planned activities, the management of tasks in Kanban system, the drawing up of Gantt charts etc. The employment of Odoo ERP in scheduling research activities is highly accessible and easily opens the possibility to connect with other Odoo modules (such as accounting module or e-signature module), thereby saving significant amount of time and efforts related to the analysis of project status data. Moreover, the project progresses can be tracked by using simple devices with an Internet browser and a stable connection, which allow the access to the application via modern Cloud technologies