Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Ion Lungu is active.

Publication


Featured researches published by Ion Lungu.


Archive | 2012

Improving Decision Support Systems with Data Mining Techniques

Adela Bâra; Ion Lungu

Looking through several definition we can find that Moore and Chang defined the DSS as “an extensible system, capable of ad-hoc analysis and decision modeling, focused on future planning and used at unplanned and irregular timestamps” [10]. Also Carlson and Sprague cited by [3] define decision support systems as being “interactive systems that help decedent makers use data and models in resolving unstructured and semi-structured economical problems”.


International Conference on Informatics in Economy | 2016

Forecasting Solutions for Photovoltaic Power Plants in Romania

Simona-Vasilica Oprea; Alexandru Pîrjan; Ion Lungu; Anca-Georgiana Fodor

This paper presents an extended version of the article “Forecasting solutions for photovoltaic power plants in Romania” that has been accepted and successfully defended at The 15th International Conference on Informatics in Economy (IE 2016). The installing of photovoltaic power plants (PVPPs) is increasing rapidly in Romania. The national power grid company’s estimation regarding installed power of PVPPs shows that it will increase in the coming three years by almost 35%. This paper develops several solutions for PVPP generation forecast. Based on the yearly data set of two PVPPs located in Romania, first we have developed neural networks for predicting, analyzing and monitoring the performance indicators for PVPP generation in Romania by applying three algorithms: Levenberg-Marquardt, the Bayesian Regularization and the Scaled Conjugate Gradient algorithms. Secondly, for forecasting of PVPP generation purposes, we have applied stochastic methods such as autoregressive integrated moving average and data mining models: ensemble, neural network, decision tree, regression models. In order to forecast the output of photovoltaic power plants, the proposed solutions, namely stochastic and neural networks methods, are analyzed in terms of accuracy. The generation forecast of renewable energy sources is of high importance for the owners or administers of such power plants who are interested in minimizing the balancing costs that are directly influenced by forecasting errors. Our analyses on actual operating data are also focused on finding the similarities and differences between PVPPs that operate in the same geographical area and extending our results to other PVPPs with similar capacity/performance and location.


Informatica Economica | 2007

Information System for Administrating and Distributing Color Images through Internet

Ion Lungu; Maria Andronie

The information system for administrating and distributing color images through the Internet ensures the consistent replication of color images, their storage - in an on-line data base - and predictable distribution, by means of a digitally distributed flow, based on Windows platform and POD (Print On Demand) technology. The consistent replication of color images inde-pendently from the parameters of the processing equipment and from the features of the programs composing the technological flow, is ensured by the standard color management sys-tem defined by ICC (International Color Consortium), which is integrated by the Windows operation system and by the POD technology. The latter minimize the noticeable differences between the colors captured, displayed or printed by various replication equipments and/or edited by various graphical applications. The system integrated web application ensures the uploading of the color images in an on-line database and their administration and distribution among the users via the Internet. For the preservation of the data expressed by the color im-ages during their transfer along a digitally distributed flow, the software application includes an original tool ensuring the accurate replication of colors on computer displays or when printing them by means of various color printers or presses. For development and use, this application employs a hardware platform based on PC support and a competitive software platform, based on: the Windows operation system, the .NET. Development medium and the C# programming language. This information system is beneficial for creators and users of color images, the success of the printed or on-line (Internet) publications depending on the sizeable, predictable and accurate replication of colors employed for the visual expression of information in every activity fields of the modern society. The herein introduced information system enables all interested persons to access the information from the on-line database, whenever they want, wherever they are, by means of the digital infrastructure, computer net-works and modern communication technologies.


Informatică economică | 2009

A model for Business Intelligence Systems’ Development

Adela Bara; Iuliana Botha; Vlad Diaconita; Ion Lungu; Anda Velicanu; Manole Velicanu


Archive | 2005

Executive Information Systems

Ion Lungu


WSEAS Transactions on Information Science and Applications archive | 2008

Improving query performance in virtual data warehouses

Adela Bâra; Ion Lungu; Manole Velicanu; Vlad Diaconita; Iuliana Botha


WSEAS Transactions on Information Science and Applications archive | 2008

Two integration flavors in public institutions

Vlad Diaconita; Iuliana Botha; Adela Bara; Ion Lungu; Manole Velicanu


Archive | 2007

Business Intelligence Tools for Building the Executive Information Systems

Ion Lungu; Adela Bara; Anca Georgiana Fodor


Database Systems Journal | 2013

The Development of a Benchmark Tool for NoSQL Databases

Ion Lungu; Bogdan George Tudorica


Journal of Information Systems and Operations Management | 2011

Solutions For Optimizing The Data Parallel Prefix Sum Algorithm Using The Compute Unified Device Architecture

Ion Lungu; Dana-Mihaela Petroşanu; Alexandru Pîrjan

Collaboration


Dive into the Ion Lungu's collaboration.

Top Co-Authors

Avatar

Adela Bara

Bucharest University of Economic Studies

View shared research outputs
Top Co-Authors

Avatar

Vlad Diaconita

Bucharest University of Economic Studies

View shared research outputs
Top Co-Authors

Avatar

Alexandru Pîrjan

Romanian-American University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Iuliana Botha

Bucharest University of Economic Studies

View shared research outputs
Top Co-Authors

Avatar

Manole Velicanu

Bucharest University of Economic Studies

View shared research outputs
Top Co-Authors

Avatar

Simona-Vasilica Oprea

Bucharest University of Economic Studies

View shared research outputs
Top Co-Authors

Avatar

Dana-Mihaela Petroşanu

Politehnica University of Bucharest

View shared research outputs
Top Co-Authors

Avatar

Anda Velicanu

Bucharest University of Economic Studies

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge