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Safety Management of Water Economy. Case Study of the Water and Sewerage Company

wodociągowym” in Zarządzanie przedsiębiorstwem wodociągowym. Uwarunkowania funkcjonowania i współczesne koncepcje zarządzania . P. Chudziński, Ed. Warszawa: PWE, 2018, pp.185-202. [4] R. Brouwer, C.M. Ordens, R. Pinto, M.T. Condesso de Melo. (2018, May). „Economic valuation of groundwater protection using a groundwater quality ladder based on chemical threshold levels”. Ecological Indicators. Vol. 88, pp. 292-304. DOI: 10.1016/j.ecolind.2018.01.041. [5] D. Carstens, R. Armer. (2019, Feb.). „Spatio-temporal analysis of urban changes and surface water quality

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Applied Imagistics of Ischaemic Heart a Survey. From the Epidemiology of Stable Angina In Order to Better Prevent Sudden Cardiac Death

.H.: Dual-source spiral CT with pitch up to 3.2 and 75 ms temporal resolution: image reconstruction and assessment of image quality, Med Phys. 2009, Dec; 36(12) 5641-53. Klass O, K. S. (2010). Coronary plaque imaging with 256-slice multidetector computed tomography: interobserver variability of volumetric lesion parameters with semiautomatic plaque analysis software. Int J Cardiovasc Imaging . Mark J. Boogers, J. D. (2010). Automated Quantification of Stenosis Severity on 64-Slice CT. Cardiovascular Imaging . Montalescot

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Object-Oriented Query Language For Events Detection From Images Sequences

Abstract

In this paper is presented a method to represent the events extracted from images sequences and the query language used for events detection. Using an object oriented model the spatial and temporal relationships between salient objects and also between events are stored and queried. This works aims to unify the storing and querying phases for video events processing. The object oriented language syntax used for events processing allow the instantiation of the indexes classes in order to improve the accuracy of the query results. The experiments were performed on images sequences provided from sport domain and it shows the reliability and the robustness of the proposed language. To extend the language will be added a specific syntax for constructing the templates for abnormal events and for detection of the incidents as the final goal of the research.

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The Contributions To The Study Of Carbon Monoxide Pollution Due To Car Traffic In A Densely Populated Area

” Indian Journal of Otolaryngology and Head & Neck Survey, Madras Medical College, Chennai, Vol.49, pag. 47-50, (1997); [5]. Lengagne T, ”Traffic noise effects communication behaviour in a breeding anuran, Hyla arborea”, Journal of Biological Conservation, Lyon, Vol. 141, pag. 2023-2031, (2008); [6]. Macoveanu, M., Politici si strategii de mediu”, Ed. Ecozone, Iasi, (2006); [7]. Majumder A K, Murthy V K, , ”Spatial and Temporal Variation of Ambient PM: A case study of Banepa Valley, Nepal”, Journal of Science, Engineering and Technology, Nepal, Vol. 8

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On the Dynamic Response Prediction at the Full-Scale Test of Aircraft Component

Sensors . Amsterdam & Boston: Elsevier Academic Press, 2008. [17] G. C. Goodwin and R. L. Payne, Dynamic System Identification: Experiment Design and Data Analysis . Academic Press, 1977 [18] S. A. Billings, Nonlinear System Identification: NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains . Wiley, 2013. https://doi.org/10.1002/9781118535561 [19] T. P. Gialamas, D. A. Manolas, and D. T. Tsahalis, “Predicting the Dynamic Behaviour of a Coupled Structure Using Frequency-Response Functions,” Journal of Aircraft , vol. 39, issue 1, pp

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Intelligent Performance Analysis with a Natural Language Interface

Abstract

Performance improvement is taken as the primary goal in the asset management. Advanced data analysis is needed to efficiently integrate condition monitoring data into the operation and maintenance. Intelligent stress and condition indices have been developed for control and condition monitoring by combining generalized norms with efficient nonlinear scaling. These nonlinear scaling methodologies can also be used to handle performance measures used for management since management oriented indicators can be presented in the same scale as intelligent condition and stress indices. Performance indicators are responses of the process, machine or system to the stress contributions analyzed from process and condition monitoring data. Scaled values are directly used in intelligent temporal analysis to calculate fluctuations and trends. All these methodologies can be used in prognostics and fatigue prediction. The meanings of the variables are beneficial in extracting expert knowledge and representing information in natural language. The idea of dividing the problems into the variable specific meanings and the directions of interactions provides various improvements for performance monitoring and decision making. The integrated temporal analysis and uncertainty processing facilitates the efficient use of domain expertise. Measurements can be monitored with generalized statistical process control (GSPC) based on the same scaling functions.

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Energy Saving Energetic Systems for Coastal Fishing Cutters

.hamworthy.com/LNGFuelGasSystems , (access 02.04.2018). Hongisto M. (2014). Impact of the emissions of international sea traffic on airborne deposition to the Baltic Sea and concentrations at the coastline, Oceanologia, Volume 56 Issue 2, pp. 349-372. IMO. (2015). Guidance for the development of a Ship Efficiency, London. Johansson L., Jalkanen J.P. and Kiukkonen J. (2017). Global assessment of shipping emissions in 2015 on a high spatial and temporal resolution, Atmospheric Environment, vol. 167, pp 403-415. Rajewski P., Behrendt C. and Klyus O. (2013). Clean Shipping for Small

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Urban smart mobility in the scientific literature — bibliometric analysis

https://www.theguardian.com/cities/2017/mar/22/bike-wars-docklesschina-millions-bicycles-hangzhou Min, W., & Wynter, L. (2011). Real-time road traffic prediction with spatio-temporal correlations. Transportation Research Part C – Emerging Technologies , 19 (4), 606-616. doi: 10.1016/j.trc.2010.10.002 Ministerstwo Transportu, Budownictwa i Gospodarki Morskiej [Ministry of Transport, Construction and Maritime Economy]. (2013). Strategia Rozwoju Transportu do 2020 roku (z perspektywą do 2030 roku) [ Strategy for Transport Development in force until 2020

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