Database Systems Journal

ISSN 2069 - 3230

The journal is published under the sponsorship of
The Bucharest University of Economic Studies
and it is produced by the university's own publishing division,
The Bucharest University of Economic Studies Publishing House

Database Systems Journal, Vol. IX, 2018

Open PDF Journal


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. 29-37)
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).
5. Semantic databases: a smart perspective for today innovation in e-business (p. 38-47)
Georgiana STANESCU (NICOLAIE), The Bucharest University of Economic Studies, Romania
The purpose of this article is to demonstrate that the e-business domain needs from today, have helped in the apparition of a semantic database, which is more reliable for business purpose. It is already a fact that we live in a digital era where society needs a more usable and accessible web environment. Looking back, we can see that the emergence of the World Wide Web in 1989 had a constructive effect on society. As the world is on a continuous change and the volume of data which became available on-line is increasing over time, there has been a need to introduce semantic technologies, which will make the web domain more efficient. The Internet aspect and semantic technology have helped to publish online all the information contained by an e-business, making it accessible from all over the world without limitation barriers.
Keywords: semantic database, web, semantic technology, e-business.
6. Data Model for Electricity Consumption Management (p. 48-57)
Iuliana SIMONCA (BOTHA), The Bucharest University of Economic Studies, Romania
Simona Vasilica OPREA, The Bucharest University of Economic Studies, Romania
Adina UTA, The Bucharest University of Economic Studies, Romania
Ion LUNGU, The Bucharest University of Economic Studies, Romania
Osman Bulent TOR, EPRA Engineering Procurement Research Analysis, Turkey
The power management system targets three major sectors: energy production, market trading and energy consumption. Energy consumption management is based on optimization models and methods that are implemented with actual system data. In order to identify these methods we have analyzed a series of related papers on optimizing energy consumption. As a result, in this paper, we present the improvements that we made on the data model for electricity consumption approach from SMARTRADE project.
Keywords: electricity consumption, renewable energy, optimization methods.
7. Adoption of Internet of Things Technologies in Enterprises (p. 58-69)
Floarea NASTASE, The Bucharest University of Economic Studies, Romania
Andrei MIHALACHE, The Bucharest University of Economic Studies, Romania
Paul MARINESCU, The Bucharest University of Economic Studies, Romania
Ionut MINCIUNA, The Bucharest University of Economic Studies, Romania
The Internet of Things (IoT) pervades any device that has or that can be upgraded with an Internet connection capability. IoT has become a key concept linking uniquely identifiable things to their virtual representations over the Internet. Currently, this approach has spread widely throughout most of areas, enterprises or groups of people, on the thriving express lane provided by IPv6 protocol. This newer version of IP has more than enough addresses, about 3.4×1038 addresses to serve all IP networking needs for the foreseeable future when more than twenty-four billion smart things will be connected by 2020. As we move from www (static pages web) to web2 (social networking web) to web3 (ubiquitous computing web), the need for data-on-demand using sophisticated intuitive queries increases significantly.
Keywords: Internet of Things, Wireless Sensor Networks, ubiquitous sensing, open innovation, pervasive information, smart things, smart environments, business model innovation.
8. What can Romanian Supermarkets do in order to improve the Customer Experience? Recommendation Systems in Creating Personalized Offers (p. 70-79)
Cristina STOICESCU, The Bucharest University of Economic Studies, Romania
Cristina STANCIU-MANDRULEANU, The Bucharest University of Economic Studies, Romania
Modern food retail stores have started to penetrate the Romanian market over 20 years ago and since then they have gained more than half of the total market share. More than 10 international brands have opened over 2500 stores creating a competitive environment where each company needs to develop new business strategies in order to achieve positive financial results. In order to gain new clients supermarkets are opening new stores every year, but in order to keep their actual clients they need to improve the customer experience. Introducing fidelity cards, loyalty points, instant awards, tasting sessions or moving in the online area are some of the actions taken by supermarkets in Romania, but none of them have yet developed a recommendation system that can propose personalized offers. This article describes a hybrid algorithmic model based on data mining and collaborative filtering techniques. The goal of the model is to recommend date specific products, similar products and cross-shopping cart products that fulfill the custom needs of each consumer. So at the end of the shopping session each client will receive an offer that includes specific products and customized discounts to his buying behavior. As already sustained by other markets, personalized offers will improve the customer experience and will increase the sales of supermarkets.
Keywords: consumer behavior, food retailers, recommendation systems, customer experience.
9. Solutions for Big Data Processing and Analytics in Context of Smart Homes (p. 80-89)
Adela BARA, The Bucharest University of Economic Studies, Romania
Bogdan TUDORICA, Petroleum - Gas University of Ploiesti, Romania
Razvan Cristian MARALES, METRO SYSTEMS, Romania
The paper analysis Big Data storage and processing solutions applicable in the smart grid context in case of large volume of data coming from sensors (smart meters, IoT appliances). A flexible architecture for data management is proposed that consists in three layers: relational database (RB) tier, big data (DG) tier and data warehouse (DW) tier. A proof of concept implementation is also provided, using Elasticsearch and Kibana.
Keywords: Big Data, Smart Home, IoT, Smart Metering, Data Management.