Time filter

Source Type

Aalborg, Denmark

Gavric K.,Novi Management | Culibrk D.,Novi Management | Crnojevic V.,University of Novi Sad
ICPRAM 2013 - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods | Year: 2013

In recent years, geo-referenced community-contributed multimedia data that is available from services such as Flickr/YouTube, has been used to help understand patterns of human mobility, behavior and habits. While this data is freely available for much larger regions of the world, it is understood that the quality of such data is lower than that of data that can be obtained from mobile phone operators. This is probably the reason why public data has not been considered for studies attempting to identify basic laws that govern human mobility. In this study we explore the possibility of using Flickr data as an alternative to mobile-phone-generated data when it comes to analyzing human mobility. To do this, we apply a recently published approach to analysis of mobile phone data to the trajectories of 6404 Fickr users, derived from a dataset of 1 million images pertinent to the San Francisco/San Diego area. Our goal is to show that regularities that can be observed using mobile phone data are present in the Flickr data and that the publicly available data has the potential to enable researchers to conduct similar analysis at larger (continent/world wide) scales, with possible applications to urban planning, traffic forecasting and the spread of biological and mobile-phone viruses. The results presented show that Flickr data is suitable for such studies, and can be used as an alternative to proprietary mobile-phone-use related data.

Srdjevic Z.,University of Novi Sad | Bajcetic R.,Novi Management | Srdjevic B.,University of Novi Sad
Water Resources Management | Year: 2012

This paper proposes an approach for defining the criteria set required for multicriteria decision making. An approach is developed for a specific class of water management problems, and a SWOT/PESTLE analysis is recommended for identifying the internal and external factors that influence a given water system. The factors are grouped into six categories: political, economic/financial, social, technical, legal, and environmental (PESTLE), and separated afterwards according to their positive or negative influence on the system. All factors are filtered by a proposed elimination algorithm to identify the non-inferior factors and declare them as candidates for inclusion into the criteria set. An approach is applied to the real-life problem of how to define the criteria set and enable the selection of the optimal reconstruction solution of a water intake structure within a regional hydro-system in Vojvodina Province, Serbia. To verify the developed approach, an independent expert is invited to asses all factors identified by the SWOT/PESTLE analysis using the analytic hierarchy process (AHP) and to rank factors by order of preference. The outcome is satisfactory because the seven top-ranked factors from AHP completely matched the list of factors derived from the elimination algorithm. © 2012 Springer Science+Business Media B.V.

Golusin M.,Educons University | Ostojic A.,Novi Management | Latinovic S.,Imes Biogas | Jandric M.,University of Sfax | Ivanovic O.M.,Educons University
Renewable and Sustainable Energy Reviews | Year: 2012

Construction and operation of plants that produce energy from renewable energy sources is the subject for discussion in all the countries that have accepted the sustainable development concept and Kyoto protocol as their own development direction. Enlargement of the renewable energy production is clearly an imperative, but only economically viable construction and operation can result in long-term sustainability, which is initially the goal when deciding upon such investments. In line with this goal, this paper presents the estimation of the economic viability of constructing and operating biogas electricity plant on the farm Vizelj in Serbia. The timeframe for this estimation is from 2011 until 2020. This paper also presents all parameters which are necessary for performing this estimation, respectively, analysis of revenues and expenditures, projection of economic and financial flow, ratio analysis, dynamic and static analysis, and analysis of sensitivity of the project, i.e. impact of the changes in prices and raw material on the overall performance of the project. The observed investment is predicted to be financed from the EBRD's credit line for renewable energy in Western Balkans, while the total investment is estimated at Euro 958,000.00. After the performed economic assessment, the conclusion is that the observed investment in biogas electricity plant is very acceptable and it can serve as a role model for similar investments in the region. © 2011 Elsevier Ltd. All rights reserved.

Veljkovic R.,Clinical Center Vojvodina | Protic M.,Clinical Center Vojvodina | Gluhovic A.,Clinical Center Vojvodina | Potic Z.,Novi Management | And 3 more authors.
Journal of the American College of Surgeons | Year: 2010

Background: Information-based scoring systems predictive of outcomes of midline laparotomy are needed; these systems can support surgical decisions with the aim of improving patient outcomes and quality of life, and reducing the risk of secondary surgical procedures. Study Design: All study subjects were followed for a minimum of 6 months after operation. Numerous demographic, clinical, treatment, and outcomes-related perioperative factors were recorded to determine statistical association with the primary end point: incisional hernia development. The first analysis was designed to establish the statistical model (scoring system) for estimating the risk of incisional hernia within 6 months of midline laparotomy. Univariate and multivariate analyses were performed. A simple additive model was constructed using stepwise logistic and linear regression. The second part of the study analysis was validation of the scoring systems developed initially. Results: A logistic linear minimum regression model was developed based on four covariates independently predictive of incisional hernia: Body mass index (BMI) > 24.4kg/m2; fascial suture to incision ratio (SIR) < 4.2; deep surgical site, deep space, or organ infection (SSI); and time to suture removal or complete epithelialization >16 days (TIME). The hernia risk scoring system equation [p(%) = 32(SIR) + 30(SSI) + 9(TIME) + 2(BMI)] provided accurate estimates of incisional hernia according to stratified risk groups based on total score: low (0 to 5 points), 1.0%; moderate (6 to 15 points), 9.7%; increased (16 to 50 points), 30.2%; and markedly increased (>50 points), 73.1%. Conclusions: A statistically valid, straightforward, and clinically useful predictive model was developed for estimating the risk of incisional hernia within 6 months of midline laparotomy. Prospective independent validation of this model appears indicated.

Zelenovic Vasiljevic T.,Public Enterprise Urban | Srdjevic Z.,University of Novi Sad | Bajcetic R.,Novi Management | Vojinovic Miloradov M.,University of Novi Sad
Environmental Management | Year: 2012

The Serbian National Waste Management Strategy for the Period 2010-2019, harmonized with the European Union Directives, mandates new and very strict requirements for landfill sites. To enable analysis of a number of required qualitative and quantitative factors for landfill site selection, the traditional method of site selection must be replaced with a new approach. The combination of GIS and the Analytic Hierarchy Process (AHP) was selected to solve this complex problem. The Srem region in northern Serbia, being one of the most environmentally sensitive areas, was chosen as a case study. Seventeen factors selected as criteria/sub-criteria were recognized as most important, divided into geo-natural, environmental, social and techno-economic factors, and were evaluated by experts from different fields using an AHP extension in Arc GIS. Weighted spatial layers were combined into a landfill suitability map which was then overlapped with four restriction maps, resulting in a final suitability map. According to the results, 82.65% of the territory of Srem is unsuitable for regional landfill siting. The most suitable areas cover 9.14%, suitable areas 5.24%, while areas with low and very low suitability cover 2.21 and 0.76% of the territory, respectively. Based on these findings, five sites close to two large urban agglomerations were suggested as possible locations for a regional landfill site in Srem. However, the final decision will require further field investigation, a public acceptance survey, and consideration of ownership status and price of the land. © 2011 Springer Science+Business Media, LLC.

Discover hidden collaborations