Database Systems Journal

ISSN 2069 - 3230

Published with the support of:
The Bucharest University of Economic Studies


Database Systems Journal, Vol. IX, 2018


Open PDF Journal


CONTENTS


1. Designing a Currier Optimized Route Mobile Application (p. 3-12)
Luiza Cecilia MAZARE, The Bucharest University of Economic Studies, Romania
Simona-Vasilica OPREA, The Bucharest University of Economic Studies, Romania
Nowadays, most activities have had encountered changes due to the technology progress process. There is an obvious preference for the use of applications that help people with the everyday tasks, such as: getting a cab, booking a ticket at the cinema or even waiting for the online shopping to arrive. In this paper, we propose a mobile application for currier activities with optimization route that improves the performance.
Keywords: currier optimization route, mobile application design.
2. Informatics solution for Smart Garden based on Sensors (p. 13-21)
Diana-Alexandra RADU, The Bucharest University of Economic Studies, Romania
Simona-Vasilica OPREA, The Bucharest University of Economic Studies, Romania
This paper aims to develop an application dedicated to the growth and maintenance of plants, whether leguminous or decorative plants, which involves the traditional cultivation method that uses the soil. It consists in two main components: a mobile application that is be able to run on the Android operating system, and the physical component, which is referred to, in what follows, by the term "SmartGarden".
Keywords: sensors, Arduino, smart garden, monitoring.
3. Automated Trading Software - Design and Integration in Business Intelligence Systems (p. 22-28)
Cristian PAUNA, The Bucharest University of Economic Studies, Romania
After the introduction of the electronic execution systems in all main stock exchanges in the world, the role of the automated trading software in the business intelligence systems of any financial or investment company became significant. Designing of reliable trading software to build and send automated orders based on quantitative mathematical models applied in the historical and real-time price data is a challenge for nowadays. Algorithmic trading and high-frequency trading engines become today a relevant part of any trading system and their specific characteristics related with the fast execution trading process and capital management involves specific measures to be used. Smart integration of the trading software in the business intelligence systems is also a sensitive theme for any financial and investment activity, a plenty of functional, control and execution issues being subjects of researches for future improvements. This paper wants to gather together more particular aspects on this subject, based on the experience of last years, opening the way for future topics.
Keywords: automated trading software (ATS), business intelligence systems (BIS), business process management (BPM), algorithmic trading (AT), high-frequency trading (HFT).
4. Using SVM in Classification (p. 29-38)
Stefan PREDA, The Bucharest University of Economic Studies, Romania
Machine learning technology is very often used in present days. Exist many machine learning models, the theory has evolved in last year's due exponential use of those technologies. A challenge is to apply those advanced technologies in practice to solve different problems or to improve systems.
Keywords: Machine Learning (ML), Support Vector Machine (SVM).