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Journal articles on the topic 'Hydrology Mathematical models Data processing'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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1

Wu, Di, Si Jing Cai, and Wen Xiao Wang. "Numerical Modeling and Solution of Ground Water Inrush at the Baixiangshan Iron Mine." Advanced Materials Research 383-390 (November 2011): 2464–70. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.2464.

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The Baixiangshan iron mine is a large scale underground mine under construction, and will be put into production in 2011. As hydro-geological conditions of the mine are extremely complicated, ground water inrush happened twice during excavation of the ventilation shaft in 2006 and 2009 respectively. The purpose of this paper is to control the ground water inrush and guide the safety production of the mine. Hence, the ground water state was firstly analyzed through the data of borehole and hydrologic geology. After that, hydro-geological models of the ground water system were built up. Accordin

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2

Sawada, Yohei, and Risa Hanazaki. "Socio-hydrological data assimilation: analyzing human–flood interactions by model–data integration." Hydrology and Earth System Sciences 24, no. 10 (October 5, 2020): 4777–91. http://dx.doi.org/10.5194/hess-24-4777-2020.

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Abstract. In socio-hydrology, human–water interactions are simulated by mathematical models. Although the integration of these socio-hydrological models and observation data is necessary for improving the understanding of human–water interactions, the methodological development of the model–data integration in socio-hydrology is in its infancy. Here we propose applying sequential data assimilation, which has been widely used in geoscience, to a socio-hydrological model. We developed particle filtering for a widely adopted flood risk model and performed an idealized observation system simulatio

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3

Thorndahl, Søren, Thomas Einfalt, Patrick Willems, Jesper Ellerbæk Nielsen, Marie-Claire ten Veldhuis, Karsten Arnbjerg-Nielsen, Michael R. Rasmussen, and Peter Molnar. "Weather radar rainfall data in urban hydrology." Hydrology and Earth System Sciences 21, no. 3 (March 7, 2017): 1359–80. http://dx.doi.org/10.5194/hess-21-1359-2017.

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Abstract. Application of weather radar data in urban hydrological applications has evolved significantly during the past decade as an alternative to traditional rainfall observations with rain gauges. Advances in radar hardware, data processing, numerical models, and emerging fields within urban hydrology necessitate an updated review of the state of the art in such radar rainfall data and applications. Three key areas with significant advances over the past decade have been identified: (1) temporal and spatial resolution of rainfall data required for different types of hydrological applicatio

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4

Unnikrishnan, Poornima, and V. Jothiprakash. "Data-driven multi-time-step ahead daily rainfall forecasting using singular spectrum analysis-based data pre-processing." Journal of Hydroinformatics 20, no. 3 (August 9, 2017): 645–67. http://dx.doi.org/10.2166/hydro.2017.029.

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Abstract Accurate forecasting of rainfall, especially daily time-step rainfall, remains a challenging task for hydrologists' invariance with the existence of several deterministic, stochastic and data-driven models. Several researchers have fine-tuned the hydrological models by using pre-processed input data but improvement rate in prediction of daily time-step rainfall data is not up to the expected level. There are still chances to improve the accuracy of rainfall predictions with an efficient data pre-processing algorithm. Singular spectrum analysis (SSA) is one such technique found to be a

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Taysaev, K. K., and L. G. Petrova. "Mathematical Models Analysis of Combined Processing Methods of Parts." Materials Science Forum 992 (May 2020): 901–6. http://dx.doi.org/10.4028/www.scientific.net/msf.992.901.

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In the article researches mathematical models that ensure effectiveness of use combined methods for parts processing. The use of combined processing methods is always associated with the search for technological compromise and boils down to technical and economic indicators comparative assessment. In this case, it is necessary to rely on mathematical models that objectively reflect manufacturing parts technological processes. Mathematical methods and models for optimizing production processes for manufacturing parts that are applicable in combined methods for processing parts are a complex for

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6

Liu, Yan Shu. "Long Tube Hole Straightness Data Processing Method." Advanced Materials Research 756-759 (September 2013): 1494–97. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1494.

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In this paper, applying planar straightness error assessment methods, in other words, the principle of minimum conditions and roundness error approach, further more, the least square circle will be used to the idea of space. By establishing the two space mathematical models to deal with the long-tube straightness error. It dramatically solves the problem to the space straightness error. In practice, the use of the ideas of the software can gain high accurate and high precise data, it can also consistent with the actual situation.

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Al Salaimeh, Safwan. "MATHEMATICAL MODELS FOR COMPUTERIZED CONTROL SYSTEM." Gulustan-Black Sea Scientific Journal of Academic Research 48, no. 05 (July 5, 2019): 119–23. http://dx.doi.org/10.36962/gbssjar119.

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The software is a set of mathematical methods, and algorithms of information processing, which used in creating the control system. When designing control systems, Initial data for the design of control system. The tasks of the computerized control system are understood as a part of the computerized functions of the computerized control system characterized by the outcomes and outputs in specific form. control function is: commutative action for computerized control system, aimed to achieve a criterion goal. Depending on the properties of the process and their mathematical description can be c

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8

Rezaie-Balf, Mohammad, and Ozgur Kisi. "New formulation for forecasting streamflow: evolutionary polynomial regression vs. extreme learning machine." Hydrology Research 49, no. 3 (March 27, 2017): 939–53. http://dx.doi.org/10.2166/nh.2017.283.

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Abstract Streamflow forecasting is crucial in hydrology and hydraulic engineering since it is capable of optimizing water resource systems or planning future expansion. This study investigated the performances of three different soft computing methods, multilayer perceptron neural network (MLPNN), optimally pruned extreme learning machine (OP-ELM), and evolutionary polynomial regression (EPR) in forecasting daily streamflow. Data from three different stations, Soleyman Tange, Perorich Abad, and Ali Abad located on the Tajan River of Iran were used to estimate the daily streamflow. MLPNN model

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9

Liang, Xin-Zhong, Hyun I. Choi, Kenneth E. Kunkel, Yongjiu Dai, Everette Joseph, Julian X. L. Wang, and Praveen Kumar. "Surface Boundary Conditions for Mesoscale Regional Climate Models." Earth Interactions 9, no. 18 (October 1, 2005): 1–28. http://dx.doi.org/10.1175/ei151.1.

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Abstract This paper utilizes the best available quality data from multiple sources to develop consistent surface boundary conditions (SBCs) for mesoscale regional climate model (RCM) applications. The primary SBCs include 1) fields of soil characteristic (bedrock depth, and sand and clay fraction profiles), which for the first time have been consistently introduced to define 3D soil properties; 2) fields of vegetation characteristic fields (land-cover category, and static fractional vegetation cover and varying leaf-plus-stem-area indices) to represent spatial and temporal variations of vegeta

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10

Dozier, Jeff, and James Frew. "Computational provenance in hydrologic science: a snow mapping example." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, no. 1890 (December 16, 2008): 1021–33. http://dx.doi.org/10.1098/rsta.2008.0187.

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Computational provenance—a record of the antecedents and processing history of digital information—is key to properly documenting computer-based scientific research. To support investigations in hydrologic science, we produce the daily fractional snow-covered area from NASA's moderate-resolution imaging spectroradiometer (MODIS). From the MODIS reflectance data in seven wavelengths, we estimate the fraction of each 500 m pixel that snow covers. The daily products have data gaps and errors because of cloud cover and sensor viewing geometry, so we interpolate and smooth to produce our best estim

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11

Ponchateau, Cyrille, Ladjel Bellatreche, Carlos Ordonez, and Mickael Baron. "A Mathematical Database to Process Time Series." International Journal of Data Warehousing and Mining 14, no. 3 (July 2018): 1–21. http://dx.doi.org/10.4018/ijdwm.2018070101.

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In scientific research, the results of an experiment commonly take the form of a time series, in which such time series consists of measurements collected from a sensor over time. After time series are stored, mathematical models are derived using numerical methods. Even though there exist plenty of tools to store and analyze time series data, there is scarce research aimed at storing and querying derived models, which are the most important mechanism for a scientist to understand data. In this article, the authors propose to help scientists with a flexible database structure to persist and ma

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12

Li, Kang, Mikiko Kadohisa, Makoto Kusunoki, John Duncan, Claus Bundesen, and Susanne Ditlevsen. "Distinguishing between parallel and serial processing in visual attention from neurobiological data." Royal Society Open Science 7, no. 1 (January 2020): 191553. http://dx.doi.org/10.1098/rsos.191553.

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Serial and parallel processing in visual search have been long debated in psychology, but the processing mechanism remains an open issue. Serial processing allows only one object at a time to be processed, whereas parallel processing assumes that various objects are processed simultaneously. Here, we present novel neural models for the two types of processing mechanisms based on analysis of simultaneously recorded spike trains using electrophysiological data from prefrontal cortex of rhesus monkeys while processing task-relevant visual displays. We combine mathematical models describing neuron

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Kuczynska-Siehien, Joanna, Dimitrios Piretzidis, Michael G. Sideris, Tomasz Olszak, and Viktor Szabó. "Monitoring of extreme land hydrology events in central Poland using GRACE, land surface models and absolute gravity data." Journal of Applied Geodesy 13, no. 3 (July 26, 2019): 229–43. http://dx.doi.org/10.1515/jag-2019-0003.

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Abstract This study deals with the analysis of temporal gravity variations in central Poland, deduced from multiple sources and covering the period from 2002–2016. The gravity data sets used comprise GRACE monthly solutions, GLDAS land surface models and absolute gravimeter measurements from the FG-5 gravimeter located in Józefosław, Poland. All data are corrected using standard processing methods in order to include the same gravity effects. After removing the annual and semi-annual components from all data using least-squares spectral analysis and seasonal-trend decomposition, the deseasoned

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14

Simonov, V. M. "Combinatorial linearization of data processing algoritmic complexes. Theory and Heuristics." Informatization and communication 1 (January 2021): 97–104. http://dx.doi.org/10.34219/2078-8320-2021-12-1-97-104.

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theoretical redundancy of the proof theorem about data processing algorithmic complexes’s combinatorial linearization [ 1 ] opens additional heuristic possibilities for decision of this problem. The correlation between theory and heuristics is illustrated in article on concrete examples. It had been shown, that heuristic transformations of DPAC’s mathematical models are able not only correspond to theoretical recommendations, but also break them, realizing, nevertheless, the purpose of combinatorial linearization itself. As a hole, the heuristic approach widenes possibilities of DPAC’s combina

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15

Yang, Ming Qiang, and Liang Wei. "Construction of Processing Model for Massive Terrain Data Used in Three-Dimensional Terrain Visualization." Applied Mechanics and Materials 99-100 (September 2011): 259–63. http://dx.doi.org/10.4028/www.scientific.net/amm.99-100.259.

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Based on the analysis of various kinds of terrain data used in applications of three-dimensional terrain visualization, this paper puts forward a preprocessing method named hierarchical blocked processing for massive terrain data, and obtains relevant mathematical models and algorithm requirements.

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REINERTH, G. "P1567 Simulation of cardiac electrophysiology using mathematical models and computer based processing of digital image data." European Heart Journal 24, no. 5 (March 2003): 285. http://dx.doi.org/10.1016/s0195-668x(03)94705-1.

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17

Gaidar, S. M., A. V. Pydrin, M. Yu Karelina, M. S. Gaidar, and A. V. Sukhodolya. "Laboratory Study of Tribological Characteristics of Innovative Lubricant Coolants." Materials Science Forum 992 (May 2020): 590–97. http://dx.doi.org/10.4028/www.scientific.net/msf.992.590.

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In the article researches mathematical models that ensure effectiveness of use combined methods for parts processing. The use of combined processing methods is always associated with the search for technological compromise and boils down to technical and economic indicators comparative assessment. In this case, it is necessary to rely on mathematical models that objectively reflect manufacturing parts technological processes. Mathematical methods and models for optimizing production processes for manufacturing parts that are applicable in combined methods for processing parts are a complex for

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18

Gómez Salazar, Julián Andrés, Gabriela Clemente Polo, and Neus Sanjuán Pelliccer. "Review of mathematical models to describe the food salting process." DYNA 82, no. 190 (May 11, 2015): 23–30. http://dx.doi.org/10.15446/dyna.v82n190.42016.

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Salting and subsequent curing are part of the traditional processing method used in the meat and fish industry. Different preserving agents (sodium chloride, nitrite, nitrate, among others) are added in this process. Nowadays, more attention is paid to the amount of salts added and the salting time employed. For this reason, it is important to know the factors governing salt penetration and the most convenient process conditions. The transfer mechanism of the salts through the structure is an interesting aspect in meat and fish processing technology. Mathematical models are the best way to dis

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19

Burinskienė, Marija, Denis Kapski, Valery Kasyanik, Anton Pashkevich, Aleksandra Volynets, and Oleg Kaptsevich. "Estimating Parameters for Traffic Flow Using Navigation Data on Vehicles." Baltic Journal of Road and Bridge Engineering 15, no. 4 (September 28, 2020): 1–21. http://dx.doi.org/10.7250/bjrbe.2020-15.492.

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The article describes the method for estimating transport flow parameters using the two-fluid Herman-Prigogine mathematical model developed considering the proposed method of estimating parameters for the system based on the passive processing of navigation data on the movement of vehicles. The efficiency of the suggested algorithms and mathematical models for estimating road traffic flow parameters and the system as a whole was confirmed performing tests using a set of tracks on the main highways of Belarus.

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20

Wang, Yingxu, and Jun Peng. "Big Data Analytics." International Journal of Cognitive Informatics and Natural Intelligence 11, no. 2 (April 2017): 41–56. http://dx.doi.org/10.4018/ijcini.2017040103.

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Big data are pervasively generated by human cognitive processes, formal inferences, and system quantifications. This paper presents the cognitive foundations of big data systems towards big data science. The key perceptual model of big data systems is the recursively typed hyperstructure (RTHS). The RTHS model reveals the inherited complexities and unprecedented difficulty in big data engineering. This finding leads to a set of mathematical and computational models for efficiently processing big data systems. The cognitive relationship between data, information, knowledge, and intelligence is

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21

Florescu, Dorian, and Daniel Coca. "Identification of Linear and Nonlinear Sensory Processing Circuits from Spiking Neuron Data." Neural Computation 30, no. 3 (March 2018): 670–707. http://dx.doi.org/10.1162/neco_a_01051.

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Inferring mathematical models of sensory processing systems directly from input-output observations, while making the fewest assumptions about the model equations and the types of measurements available, is still a major issue in computational neuroscience. This letter introduces two new approaches for identifying sensory circuit models consisting of linear and nonlinear filters in series with spiking neuron models, based only on the sampled analog input to the filter and the recorded spike train output of the spiking neuron. For an ideal integrate-and-fire neuron model, the first algorithm ca

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22

Kinar, Nicholas J. "Introducing electronic circuits and hydrological models to postsecondary physical geography and environmental science students: systems science, circuit theory, construction, and calibration." Geoscience Communication 4, no. 2 (April 13, 2021): 209–31. http://dx.doi.org/10.5194/gc-4-209-2021.

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Abstract. A classroom activity involving the construction, calibration, and testing of electronic circuits was introduced to an advanced hydrology class at the postsecondary level. Two circuits were constructed by students: (1) a water detection circuit and (2) a hybrid relative humidity (RH)/air temperature sensor and pyranometer. The circuits motivated concepts of systems science, modelling in hydrology, and model calibration. Students used the circuits to collect data useful for providing inputs to mathematical models of hydrological processes. Each student was given the opportunity to crea

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23

Jin, Rong Rong, and Jia Hang Wang. "Data Processing in Moving Boundary Problems of One-Dimensional Non-Darcy Flow in Semi-Infinite Porous Media." Advanced Materials Research 977 (June 2014): 515–19. http://dx.doi.org/10.4028/www.scientific.net/amr.977.515.

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The paper establishes dimensionless mathematical models of the fluid flow in semi-infinite porous media with constant flow rate. Exact analytical solutions of these dimensionless mathematical models are derived by new definitions of dimensionless variables and Laplace transformation. Comparison curves of dimensionless moving boundary under different values of dimensionless Threshold Pressure Gradient (TPG) are plotted from newly proposed exact analytical solutions. An example is used to demonstrate pressure distribution in different positions with different TPG. It is shown that for the consta

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Li, C. Y., G. Q. Zhou, X. Zhou, and D. Q. Liu. "STUDY AND ANALYSIS OF REMOTE SENSING DATA PARALLEL PROCESSING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W10 (February 7, 2020): 443–50. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w10-443-2020.

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Abstract. This paper analyzes a varieties of procedure of remote sensing data processing, and explores the common mathematical models, common algorithm models, and public function processing units of data processing shared by different tasks or even different parts within an individual task. Public modules are established to improve the parallelism of remote sensing data processing based on FPGA, which has excellent parallel processing performance. In addition, in order to reduce the resource consumption and increase the calculation efficiency of the designed FPGA program, the method of avoidi

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Zhuravlev, G. M., A. E. Gvozdev, S. V. Sapozhnikov, S. N. Kutepov, and E. V. Ageev. "DECISIONS ON STATISTICAL MODELS IN QUALITY CONTROL OF PRODUCTS." Proceedings of the Southwest State University 21, no. 5 (October 28, 2017): 78–92. http://dx.doi.org/10.21869/2223-1560-2017-21-5-78-92.

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Development of methods for registration, description and analysis of statistical experimental data, obtained by monitoring mass random phenomena is the subject of a special science - mathematical statistics. All tasks of mathematical statistics concerns the treatment of observations of mass random phenomena, but depending on the nature of the solved practical question and amount of available experimental material these tasks can take a particular form. One of the main objectives of mathematical statistics is to develop methods of studying mass phenomena or processes on the basis of the relativ

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Kikin, Pavel, Alexey Kolesnikov, Alexey Portnov, and Denis Grischenko. "Natural language processing systems for data extraction and mapping on the basis of unstructured text blocks." InterCarto. InterGIS 26, no. 3 (2020): 53–61. http://dx.doi.org/10.35595/2414-9179-2020-3-26-53-61.

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The state of ecological systems, along with their general characteristics, is almost always described by indicators that vary in space and time, which leads to a significant complication of constructing mathematical models for predicting the state of such systems. One of the ways to simplify and automate the construction of mathematical models for predicting the state of such systems is the use of machine learning methods. The article provides a comparison of traditional and based on neural networks, algorithms and machine learning methods for predicting spatio-temporal series representing eco

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Barnard, Richard C., Kai Huang, and Cory Hauck. "A mathematical model of asynchronous data flow in parallel computers*." IMA Journal of Applied Mathematics 85, no. 6 (September 25, 2020): 865–91. http://dx.doi.org/10.1093/imamat/hxaa031.

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Abstract We present a simplified model of data flow on processors in a high-performance computing framework involving computations necessitating inter-processor communications. From this ordinary differential model, we take its asymptotic limit, resulting in a model which treats the computer as a continuum of processors and data flow as an Eulerian fluid governed by a conservation law. We derive a Hamilton–Jacobi equation associated with this conservation law for which the existence and uniqueness of solutions can be proven. We then present the results of numerical experiments for both discret

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Kovtun, I. I., and G. S. Romanenko. "Mathematical models, numerical methods and complexes of programs for efficiency improvement of multiproduct production." Informatization and communication, no. 1 (March 31, 2020): 48–54. http://dx.doi.org/10.34219/2078-8320-2020-11-1-48-54.

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The problems of analysis and planning of diversified production, including the lack of effective methods for search, systematization and primary processing of initial data for mathematical programming methods used in the process of its optimization are considered. Methodology IDEF0 is proposed as a data collection system. For the purpose of practical implementation of the proposed solution, the conceptual apparatus of this methodology is put in accordance with the formal apparatus of these methods and, for its effective realization by computer, relational data model as metamodel is used.

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Kuleshov, S. V., A. A. Zaytseva, and S. P. Levashkin. "Technologies and principles of unstructured distributed data processing in the context of modern media content providing." Informatization and communication 5 (December 2020): 22–28. http://dx.doi.org/10.34219/2078-8320-2020-11-5-22-28.

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Purpose The COVID-19 pandemic is creating serious challenges for modern society that leads to develop new information models and methods of digital monitoring not only of the spread of the virus, but also of the socio-economic environment. Materials and methods: As sources for clarifying the parameters of such models, it is advisable to choose not a limited set of predefi ned Internet sources, but unstructured media data on an unlimited set of resources, which leads to the need to build a system for complex monitoring of social phenomena. Such system can supplement and correct mathematical and

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Wang, Yan Ping, Xin Bing Yang, Yao Hui Jin, Bao Quan Liu, and Jun Sheng Wang. "The Mathematical Models and Simulation on Work Roll Bending Control System of Cold Rolling Mill." Applied Mechanics and Materials 556-562 (May 2014): 2337–41. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2337.

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The calculated result of the mathematical model based on the conventional transfer function has bigger deviation than the measured. In this paper the mathematical model of the work roll bending is derived. The modeling is different from conventional modeling used many presumptions and linear processing. The modeling calculated accurately the equivalent load spring using the method of influence function. The simulation results agree well with actual data of the bending system.

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Janickas, Robertas. "CONSTRUCTION AND RESEARCH OF SYSTEM IDENTIFIABLE MATHEMATICAL MODELS / IDENTIFIKUOTINOS SISTEMOS MATEMATINIO MODELIO SUDARYMAS IR TYRIMAS." Mokslas - Lietuvos ateitis 3, no. 1 (August 22, 2011): 87–90. http://dx.doi.org/10.3846/mla.2011.018.

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Paper discusses about control and data acquisition, processing, visualization, which must be adapted to the investigation and examination of identification process. A description of the device, the functionality and customization possibilities are presented. The relevant experimental model and its characteristics are obtained for measurement, control results using this model.

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Bondar, O. G., E. O. Brezhneva, O. G. Dobroserdov, K. G. Andreev, and N. V. Polyakov. "Synthesis and Parameterization of Gas Sensor Models." Proceedings of the Southwest State University 25, no. 1 (May 30, 2021): 138–61. http://dx.doi.org/10.21869/2223-1560-2021-25-1-138-161.

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Purpose of research: search and analysis of existing models of gas-sensitive sensors. Development of mathematical models of gas-sensitive sensors of various types (semiconductor, thermocatalytic, optical, electrochemical) for their subsequent use in the training of artificial neural networks (INS). Investigation of main physicochemical patterns underlying the principles of sensor operation, consideration of the influence of environmental factors and cross-sensitivity on the sensor output signal. Comparison of simulation results with actual characteristics produced by the sensor industry. The c

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Slavutskaya, Elena, and Leonid Slavutskii. "PRETEEN AGE: THE ANALYSIS OF THE MULTILEVEL PSYCHO-DIAGNOSTIC DATA BASED ON NEURAL NETWORK MODELS." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 5 (May 25, 2018): 455. http://dx.doi.org/10.17770/sie2018vol1.3348.

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The use of the artificial neural network (ANN) models for vertical system analysis of psycho-diagnostic data is suggested. It is shown that the ANN training, as the problem of nonlinear multi-parameter optimization, allows to create effective algorithms for the psycho-diagnostic data processing when the results of psychological testing for the different level’s characteristics have different numerical scales. On the example of processing the author's data of psycho-diagnostics (preadolescent schoolchildren), it is shown that neural network models can be used to estimate latent (hidden) connect

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Lombardo, F., E. Volpi, D. Koutsoyiannis, and S. M. Papalexiou. "Just two moments! A cautionary note against use of high-order moments in multifractal models in hydrology." Hydrology and Earth System Sciences Discussions 10, no. 4 (April 11, 2013): 4627–54. http://dx.doi.org/10.5194/hessd-10-4627-2013.

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Abstract. The need of understanding and modelling the space-time variability of natural processes in hydrological sciences produced a large body of literature over the last thirty years. In this context, multifractal framework provides parsimonious models which can be applied to a wide scale range of hydrological processes, and are based on the empirical detection of some patterns in observational data, i.e. a scale invariant mechanism repeating scale after scale. Hence, multifractal analyses heavily rely on available data series and their statistical processing. In such analyses, high order m

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Dinu, Cristian, Radu Drobot, Claudiu Pricop, and Tudor Viorel Blidaru. "Genetic Programming Technique Applied for Flash-Flood Modelling Using Radar Rainfall Estimates." Mathematical Modelling in Civil Engineering 13, no. 4 (December 20, 2017): 27–38. http://dx.doi.org/10.1515/mmce-2017-0012.

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AbstractThe rainfall-runoff transformation is a highly complex dynamic process and the development of fast and robust modelling instruments has always been one of the most important topics for hydrology. Over time, a significant number of hydrological models have been developed with a clear trend towards a process-based approach. The downside of these types of models is the significant amount of data required for building the model and for the calibration process: in practice, the collection of all necessary data for such models proves to be a difficult task. In order to cope with this issue,

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Kuznetsov, V. A., L. I. Gapon, L. M. Malishevskii, D. S. Lobuntsov, E. A. Dziabenko, A. M. Soldatova, G. S. Pushkarev, V. V. Todosiychuk, and E. I. Yaroslavskaya. "Mathematical models in cardiology: From formulas to real clinical practice." Siberian Journal of Clinical and Experimental Medicine 35, no. 4 (December 25, 2020): 39–48. http://dx.doi.org/10.29001/2073-8552-2020-35-4-39-48.

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Aim. To develop and implement into clinical practice six calculators of risk for various cardiovascular diseases in the form of mobile application for iOS/Android and module for the 1C: Medicine software.Material and Methods. At the premises of Tyumen Cardiology Research Center (TCRC) of Tomsk NRMC, we developed the mobile application for iOS/Android and module for the 1C: Medicine software based on six mathematical models that were invented and patented in our center earlier.Results and Discussion. The use of mobile application improved the convenience of working with the mathematical formula

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Liu, Xiyu, and Qianqian Ren. "Spiking Neural Membrane Computing Models." Processes 9, no. 5 (April 21, 2021): 733. http://dx.doi.org/10.3390/pr9050733.

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As third-generation neural network models, spiking neural P systems (SNP) have distributed parallel computing capabilities with good performance. In recent years, artificial neural networks have received widespread attention due to their powerful information processing capabilities, which is an effective combination of a class of biological neural networks and mathematical models. However, SNP systems have some shortcomings in numerical calculations. In order to improve the incompletion of current SNP systems in dealing with certain real data technology in this paper, we use neural network str

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Fedorenko, Mykola Ivanovych. "MODELS OF GENERATION OF INPUT DATA OF TRAINING OF NEURAL NETWORK MODULES FOR DIAGNOSTIC OF DISEASES IN UROLOGY." RADIOELECTRONIC AND COMPUTER SYSTEMS, no. 4 (December 25, 2019): 116–22. http://dx.doi.org/10.32620/reks.2019.4.13.

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The subject of the research presented in the article is neural network modules (NNMs), which are used to solve problems in the practice of diagnosing diseases in urology. This work aims to develop a mathematical model for generating a multitude of uroflowmetric parameters, in particular, graphs of uroflowrograms of the required volume, used as input data for NNM training. Objective: to develop a mathematical model for the formation of uroflowmetric parameters using a probabilistic approach based on a uniform "white noise". To develop an effective algorithm for the procedure for generating new

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Kapski, Denis, Valery Kasyanik, Oleksii Lobashov, Aleksandra Volynets, Oleg Kaptsevich, and Andrii Galkin. "Estimating the Parameters of Traffic Flows on the Basis of Processing of Localization Data on the Movement of Vehicles." Communications - Scientific letters of the University of Zilina 21, no. 2 (May 24, 2019): 89–99. http://dx.doi.org/10.26552/com.c.2019.2.89-99.

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The article describes the method of estimating the parameters of transport flows using the two-fluid mathematical model of Herman-Prigogine and developed and based on the proposed method of estimating the parameters of the system on the basis of passive processing of navigation data on the movement of vehicles. The efficiency of the proposed algorithms, mathematical models for estimating the parameters of road traffic flow and system as a whole was confirmed during its testing using a set of tracks on the main highways of Commonwealth of Independent States.

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Palguev, D. A., and A. N. Shentyabin. "More on assessing the probability of radar information association during tertiary information processing in network structures." Radio industry (Russia) 30, no. 2 (June 6, 2020): 32–41. http://dx.doi.org/10.21778/2413-9599-2020-30-2-32-41.

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The use of network structures in information systems allows for single-level tertiary processing of radar information. This feature makes it possible to significantly reduce the time of delivery of information from sources to consumers, as well as rigorously determine mathematically the probability of combining information during tertiary processing in network structures. The article contains mathematical expressions for assessing the probability of combining information during tertiary processing from incoherent spatially separated sources. Determining the size of the strobe for accurate sele

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Harmel, R. Daren, Claire Baffaut, and Kyle Douglas-Mankin. "Review and Development of ASABE Engineering Practice 621: “Guidelines for Calibrating, Validating, and Evaluating Hydrologic and Water Quality Models”." Transactions of the ASABE 61, no. 4 (2018): 1393–401. http://dx.doi.org/10.13031/trans.12806.

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Abstract. In 2010, the Natural Resources and Environmental Systems Hydrology Committee (NRES-21) of ASABE initiated a long-term process to develop guidelines to improve modeling practice through better understanding of the calibration, validation, and evaluation process across applications and more effective interpretation and communication of model performance. This effort generated a compilation of 23 articles with model-specific descriptions and guidance (2012), a position paper outlining guidance for evaluating, interpreting, and communicating performance of hydrologic and water quality mo

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Wang, Bao Feng. "Analysis for Packet Dropout in State Estimation Problem over Sensor Network." Applied Mechanics and Materials 568-570 (June 2014): 523–27. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.523.

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In this paper, we discuss the data losses problem in state estimation process. In sensor network, due to the energy constrained and communication constrained, the system suffering varying data dropped problem, which include independent package dropped, related dropped in single data package transmission processing and partial package dropout in multiple data package transmission processing. Based on the proposed state estimation over sensor network model, the corresponding mathematical models are built and analyzed.

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Faddeev, Alexander O., Svetlana A. Pavlova, and Tatiana M. Nevdakh. "Mathematical Models and Evaluation Software for Stress-Strain State of the Earth’s Lithosphere." Engineering Technologies and Systems, no. 1 (March 29, 2019): 51–66. http://dx.doi.org/10.15507/2658-4123.029.201901.051-066.

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Introduction. For the purposes of this article, geodeformation processes mean processes associated with deformations arising from the movement of species and blocks of the lithosphere at various depths, including surfaces. The objective is to reconstruct geodynamic stress fields, which cause modern shifts and deformations in the Lithosphere. A mathematical model and software for estimating the stress-strain state of the Earth Lithosphere are considered. Materials and Methods.For mathematical modeling of stresses, isostatically reduced data on abnormal gravitation field were used. The methods o

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Damian Wierzbicki and Kamil Krasuski. "Determining the Elements of Exterior Orientation in Aerial Triangulation Processing Using UAV Technology." Communications - Scientific letters of the University of Zilina 22, no. 1 (January 2, 2020): 15–24. http://dx.doi.org/10.26552/com.c.2020.1.15-24.

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Unmanned Aerial Vehicles (UAVs) are still an interesting and current research topic in photogrammetry. An important issue in this area is determining the elements of exterior orientation of image data acquired at low altitudes. The article presents selected mathematical methods (TGC, TIC, TAD) of estimating elements of exterior orientation for image data obtained at low altitudes. The measurement data for the experimental test were recorded by the Unmanned Aerial Vehicle platform Trimble UX-5. In the framework of the test photogrammetric flight, the authors obtained 506 images and navigation d

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Kapskiy, D. V., V. V. Kasyanik, A. V. Evtuh, and O. F. Kaptsevich. "EVALUATION OF TRANSPORT FLOW EFFICIENCY ON THE BASIS OF TRAFFIC MOVEMENT DATA." Science & Technique 16, no. 5 (October 5, 2017): 444–54. http://dx.doi.org/10.21122/2227-1031-2017-16-5-444-454.

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The paper considers a method for evaluation of transport flow parameters and determine an efficiency of variants concerning organization of traffic movement and provision of qualitative transportation. A method for evaluation of main traffic flow parameters while using a two-fluid mathematical model of Herman – Prigogine has been developed and it is based on passive processing of navigation data for road transport facilities on highways and urban road and street networks. The main advantages and novelty of the method (in contrast with the traditional usage of a mathematical model of Her- man –

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Mitrofanov, Georgy Mikhailovich, and Viatcheslav Ivanovich Priimenko. "PRONY FILTERING OF SEISMIC DATA: MATHEMATICAL AND PHYSICAL MODELLING." Revista Brasileira de Geofísica 31, no. 1 (March 1, 2013): 151. http://dx.doi.org/10.22564/rbgf.v31i1.253.

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This article presents results of the Prony filtering method testing using mathematical and physical models. They illustrate features and capabilities of the proposed method of processing and analysing the recorded signals, which also include reflected seismic signals. Guidelines for choosing the optimal method parameters are demonstrated using examples. The use of such parameters provides the best extraction and parameters estimation of target signals. Based on them, it allows us to analyse the absorbing and scattering properties of the media for the local areas, for the analysed reflectors in

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Lombardo, F., E. Volpi, D. Koutsoyiannis, and S. M. Papalexiou. "Just two moments! A cautionary note against use of high-order moments in multifractal models in hydrology." Hydrology and Earth System Sciences 18, no. 1 (January 17, 2014): 243–55. http://dx.doi.org/10.5194/hess-18-243-2014.

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Abstract. The need of understanding and modelling the space–time variability of natural processes in hydrological sciences produced a large body of literature over the last thirty years. In this context, a multifractal framework provides parsimonious models which can be applied to a wide-scale range of hydrological processes, and are based on the empirical detection of some patterns in observational data, i.e. a scale invariant mechanism repeating scale after scale. Hence, multifractal analyses heavily rely on available data series and their statistical processing. In such analyses, high order

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Chekalin, V. F., and S. L. Korneev. "The analysis of principles constructions of space images geometry and mathematical models of its processing." Geodesy and Cartography 928, no. 10 (November 20, 2017): 30–39. http://dx.doi.org/10.22389/0016-7126-2017-928-10-30-39.

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In this article essential principles of constructing geometry of contemporary space images with the purpose of definitions their common regularity and distinctions of generations’ inner photogrammetric relations and then – mathematical models, expedients for securing of strict processing are considered. It is significant, that scanning survey is the general case/way, but strip and panoramic surveys are particular cases. For the first time it was established, that under solving the problem of photogrammetric resection for scanner images on the basis of using dependences of well-known collineari

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Markelov, N. "ANALYTICAL MODEL OF PACKET TRANSMISSION OF SPEECH AND DATA IN HF RADIO CHANNELS IN A COMPLEX SIGNAL-INTERFERENCE ENVIRONMENT." National Association of Scientists 1, no. 67 (June 15, 2021): 45–49. http://dx.doi.org/10.31618/nas.2413-5291.2021.1.67.422.

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The author has carried out an analytical simulation of the process of signal formation and processing in the HF channel during packet transmission of speech and data in a complex signal-interference environment. The totality of the result obtained can be the basis for the development of complex mathematical models of HF channels.

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Kowalczyk, Adam, Anna Szlachta, Robert Hanus, and Rafał Chorzępa. "Estimation of Conditional Expected Value for Exponentially Autocorrelated Data." Metrology and Measurement Systems 24, no. 1 (March 1, 2017): 69–78. http://dx.doi.org/10.1515/mms-2017-0005.

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AbstractAutocorrelation of signals and measurement data makes it difficult to estimate their statistical characteristics. However, the scope of usefulness of autocorrelation functions for statistical description of signal relation is narrowed down to linear processing models. The use of the conditional expected value opens new possibilities in the description of interdependence of stochastic signals for linear and non-linear models. It is described with relatively simple mathematical models with corresponding simple algorithms of their practical implementation.The paper presents a practical mo

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