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arXiv 2025年

作者： Lencastre, Pedro Bystryk, Yurii Yazidi, Anis Denisov, Sergey Lind, Pedro G. Department of Computer Science OsloMet – Oslo Metropolitan University OsloN-0130 Norway AI Lab – OsloMet Artificial Intelligence Lab OsloN-0166 Norway Institute of Applied Physics National Academy of Sciences of Ukraine Sumy40000 Ukraine Simula Research Laboratory Numerical Analysis and Scientific Computing Oslo0164 Norway

Foraging is a complex spatio-temporal process which is often described with stochastic models. Two particular ones, Lévy walks (LWs) and intermittent search (IS), became popular in this context. Researchers from the two communities, each advocating for either Lévy or intermittent approach, independently analyzed foraging patterns and reported agreement between empirical data and the model they used. We resolve this Lévy-intermittent dichotomy for eye-gaze trajectories collected in a series of experiments designed to stimulate free foraging for visual information. By combining analytical results, statistical quantifiers, and basic machine learning techniques, we devise a method to score the performance of the models when they are used to approximate an individual gaze trajectory. Our analysis indicates that the intermittent search model consistently yields higher scores and thus approximates the majority of the eye-gaze trajectories better. Copyright © 2025, The Authors. All rights reserved.

关键词： Stochastic models

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Ten Minutes Solar Irradiation Forecasting on Inclined Plane using Evolutionary Product Unit Neural Networks

Ten Minutes Solar Irradiation Forecasting on Inclined Plane ...

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2019 International Conference of computer Science and Renewable Energies, ICCSRE 2019

作者： Amiri, Billel Gomez-Orellana, Antonio M. Antonio Gutierrez, Pedro Dizene, Rabah Hervas-Martinez, Cesar Kahina, Dahmani Laboratory of Energy Mechanic and Conversion Systems University of Science and Technology Houari Boumediène Algiers Algeria Department of Computer Science and Numerical Analysis Universidad de Córdoba Córdoba Spain

ISBN: (纸本)9781728108278

This work applies evolutionary product unit neural networks (EPUNNs) to estimate global inclined irradiation at real time and predict it 10 minutes in advance. Both tasks are accomplished simultaneously, by using one single model with two outputs. One advantage of our approach is that the predictions of inclined irradiation are obtained without the need of a series of historical data. In this way, the model only considers one measured input variable, which is the horizontal global irradiation at the previous instant. Besides, the evolutionary algorithm used to optimize the network allows us to obtain the best adapted topology of the model with respect to the number of hidden neurons and synaptic connections. Very promising results are obtained, where the inclined irradiation Iβ(t) is estimated with an accuracy of 5.10% of nRMSE, while it is predicted 10 minutes in advance with an accuracy of 16.97%. © 2019 IEEE.

关键词： Forecasting

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Reflectionless propagation of Manakov solitons on a line: A model based on the concept of transparent boundary conditions

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Physical Review E 2021年第4期103卷 043305-043305页

作者： K. K. Sabirov J. R. Yusupov M. M. Aripov M. Ehrhardt D. U. Matrasulov Tashkent University of Information Technologies Algorithms and Mathematical Modeling 108 Amir Temur Street Tashkent 100200 Uzbekistan Tashkent State Technical University Higher Mathematics 2 Universitet Street Tashkent 100095 Uzbekistan Yeoju Technical Institute in Tashkent 156 Usman Nasyr Street Tashkent 100121 Uzbekistan National University of Uzbekistan Applied Mathematics and Computer Analysis 2 Universitet Street Tashkent 100095 Uzbekistan Bergische Universität Wuppertal Applied Mathematics and Numerical Analysis Gaußstrasse 20 42119 Wuppertal Germany Turin Polytechnic University in Tashkent Laboratory for Advanced Studies 17 Niyazov Street Tashkent 100095 Uzbekistan

We consider the problem of the absence of backscattering in the transport of Manakov solitons on a line. The concept of transparent boundary conditions is used for modeling the reflectionless propagation of Manakov vector solitons in a one-dimensional domain. Artificial boundary conditions that ensure the absence of backscattering are derived and their numerical implementation is demonstrated.

关键词： Optical solitons Solitons

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Twofold saddle-point formulation of biot poroelasticity with stress-dependent diffusion

arXiv

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arXiv 2021年

作者： Gómez-Vargas, Bryan Mardal, Kent-André Ruiz-Baier, Ricardo Vinje, Vegard Sección de Matemática Sede de Occidente Universidad de Costa Rica San Ramón Ala juela Costa Rica Department of Mathematics Division of Mechanics University of Oslo Norway Simula Research Laboratory Lysaker1325 Norway School of Mathematics Monash University 9 Rainforest Walk MelbourneVIC3800 Australia Institute of Computer Science and Mathematical Modelling Sechenov University Moscow Russia Universidad Adventista de Chile Casilla 7-D Chillán Chile Department for Numerical Analysis and Scientific Computing Simula Research Laboratory Lysaker Norway

We introduce a stress/total-pressure formulation for poroelasticity that includes the coupling with steady nonlinear diffusion modified by stress. The nonlinear problem is written in mixed-primal form, coupling a perturbed twofold saddle-point system with an elliptic problem. The continuous formulation is analysed in the framework of abstract fixed-point theory and Fredholm alternative for compact operators. A mixed finite element method is proposed and its stability and convergence analysis are carried out. We also include a few illustrative numerical tests. The resulting model can be used to study waste removal in the brain parenchyma, where diffusion of a tracer alone or a combination of advection and diffusion are not sufficient to explain the alterations in rates of filtration observed in porous media *** Codes 65N60, 92C50 © 2021, CC BY.

关键词： Diffusion

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Comparative Study of the Adomian Decomposition Method and Alternating Direction Implicit (ADI) for the Resolution of the Problems of Advection-Diffusion-Reaction

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Journal of Applied Mathematics and Physics 2018年第9期6卷 1937-1950页

作者： André Bitsindou Joseph Bonazebi-Yindoula Gabriel Bissanga Laboratory of Numerical Analysis Computer Science and Applications University Marien NGOUABI Brazzaville Congo

In this paper, we use the Adomian decomposition method (ADM), the finite differences method and the Alternating Direction Implicit method to estimate the advantages and the weakness of the above methods. For it, we make a numerical simulation of the different solutions constructed with these methods and compare the error investigated case.

关键词： Adomian Decomposition Method Finite Differences Method Advection-Diffusion-Reaction Equations

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Acute Genital Peritonitis in Brazzaville, Congo

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Surgical Science 2019年第10期10卷 368-376页

作者： Massamba Miabaou Didace Mbongo Jean Alfred Note Madzélé Murielle Motoula Latou Noé Itoua Clautaire Massamba Alphonse Digestive Surgery Department Brazzaville University Hospital Brazzaville Congo Gynecology-Obstetrics Department Brazzaville University Hospital Brazzaville Congo Laboratory of Numerical Analysis Computer Science and Applications (LANIA) Faculty of Sciences and Technology Marien Ngouabi University Brazzaville Congo.

Genital peritonitis is rare in daily surgical practice in Congo-Brazzaville. Clandestine abortions are incriminated. The purpose of the study is to analyze the epidemiological, etiological, diagnostic and therapeutic aspects of genital peritonitis. A retrospective and case series study was realized in departments of Digestive Surgery and Gynecology-Obstetrics of the University Hospital of Brazzaville. The inclusion criteria for the diagnosis of peritonitis were abdominal pain, fever, transit disturbances and signs of peritoneal irritation. The parameters studied were: age, etiological circumstances, anatomical lesions, type of surgical treatment and evolution. During the study period (July 1, 2015-December 31, 2017), 306 patients were admitted to both departments for acute generalized peritonitis. Among them, a genital cause was incriminated in 18 (5.9%) patients. The mean age was 27.6 ± 3.1 years. At the parity and gestational level, 93% of patients had at least two pregnancies, but not more than the second trimester. In addition, 50% of the patients had an induced miscarriage, due to uterine and intestinal lesions. Induced miscarriages accounted for half of etiological circumstances. Physical examination of the abdomen revealed abdominal contracture in 61.1% of cases. Main visceral lesions were uterine perforation (55.5%) followed by rupture of tubo-ovarian abscess (38.9%). The operative follow-up was simple in 83.33% of cases. In conclusion, genital peritonitis remains unfrequented. Median laparotomy has been the main therapeutic approach in our context where emergency laparoscopic surgery is not yet common.

关键词： Peritonitis Abortion Uterine Perforation

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Evaluating associative classification algorithms for Big Data

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Big Data Analytics 2019年第1期4卷 1-27页

作者： Padillo, Francisco Luna, José María Ventura, Sebastián Department of Computer Science and Numerical Analysis University of Cordoba Cordoba Spain Knowledge Discovery and Intelligent Systems in Biomedicine Laboratory Maimonides Biomedical Research Institute of Cordoba Cordoba Spain Faculty of Computing and Information Technology King Abdulaziz University Jeddah Saudi Arabia

Associative Classification, a combination of two important and different fields (classification and association rule mining), aims at building accurate and interpretable classifiers by means of association rules. A major problem in this field is that existing proposals do not scale well when Big Data are considered. In this regard, the aim of this work is to propose adaptations of well-known associative classification algorithms (CBA and CPAR) by considering different Big Data platforms (Spark and Flink). An experimental study has been performed on 40 datasets (30 classical datasets and 10 Big Data datasets). Classical data have been used to find which algorithms perform better sequentially. Big Data dataset have been used to prove the scalability of Big Data proposals. Results have been analyzed by means of non-parametric tests. Results proved that CBA-Spark and CBA-Flink obtained interpretable classifiers but it was more time consuming than CPAR-Spark or CPAR-Flink. In this study, it was demonstrated that the proposals were able to run on Big Data (file sizes up to 200 GBytes). The analysis of different quality metrics revealed that no statistical difference can be found for these two approaches. Finally, three different metrics (speed-up, scale-up and size-up) have also been analyzed to demonstrate that the proposals scale really well on Big Data. The experimental study has revealed that sequential algorithms cannot be used on large quantities of data and approaches such as CBA-Spark, CBA-Flink, CPAR-Spark or CPAR-Flink are required. CBA has proved to be very useful when the main goal is to obtain highly interpretable results. However, when the runtime has to be minimized CPAR should be used. No statistical difference could be found between the two proposals in terms of quality of the results except for the interpretability of the final classifiers, CBA being statistically better than CPAR.

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Preventing Black Hole Attack in Wireless Sensor Network Using HMM

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Procedia computer Science 2019年 148卷 552-561页

作者： Hanane Kalkha Hassan Satori Khalid Satori Laboratory Computer Science Image processing and Numerical Analysis Faculty of Sciences Dhar MahrazSidi Mohammed Ben Abbdallah University Fez Morocco Artificial Intelligence Complex Systems and modeling Department of Mathematics and Computer Science Faculty Polydisciplinary of Nador Mohammed Premier University 300 Selouane 62700 Nador Morocco

Secure routing is a difficult task because of the limited nature of wireless sensor network resources. This paper provides a Hidden Markov Model solution to identify malicious nodes in wireless sensor networks through prevention of black hole attack. Our proposed approach based on a new routing algorithm which analyses shortest path in order to avoid malicious node path. Our results demonstrate the success and the efficiency of our proposed routing algorithm.

关键词： WSN HMM Black Hole Malicious Shortest path

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Changes Induced by Physical Activity, Weight Loss and Calorie Restriction in Body Composition, Lipoproteins and Functional Capacity in Obese Congolese Women

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Health 2020年第6期12卷 548-571页

作者： Moulongo Jean Georges André Makosso Vheiye Georges Eouani Max Lévy Eméry Mouanda Richard Le Savant Ndalla Mathias Cyriaque Packa Tchissambou Bernard Massamba Alphonse Laboratory of Sports Biosciences Higher Institute of Physical Education and Sports Marien NGOUABI University Brazzaville Congo Unit of Nutritional Science and Metabolism Higher Institute of Physical Education and Sports Marien NGOUABI University Brazzaville Congo Department of Gynecology & Obstetrics Loandjili Hospital Pointe-Noire (Congo) and Faculty of Health Sciences Marien NGOUABI University Brazzaville Congo Clinical Psychology Research Division Marien NGOUABI University Brazzaville Congo Biomedical Analyses Center Makelekele Brazzaville Congo Laboratory of Numerical Analysis Computer Science and Applications Faculty of Sciences and Technology Marien NGOUABI University Brazzaville Congo

Background. The effects of physical exercises combined with a low-calorie diet on weight loss, body composition, lipoproteins profile, and physical fitness had been well described. However, Central Africa’s studies investigating these kinds of diets and exercise regimens are lacking. Objective. To investigate the effects of adding 14-weeks exercises to a hypocaloric diet on changes in body composition, lipoproteins concentrations, and physical capacities in obese Congolese women. Population and Methods. In total, 34 obese women aged 30 - 39 years (mean age: 33.7 ± 2.4 years) assigned to 14-weeks training program and low energy ketogenic diet. Body composition was assessed using classic methods and impedancemetry. Fasting plasma glucose (FPG) and fasting serum insulin were assessing using enzymatic colorimetric and radioim-munoradiometric methods. HOMA-IR and lipoproteins concentrations were assessed using standardized laboratory methods. VO2peak was measured on a treadmill during a progressive exercise test. Speed, cadence and stride length were measured along the 10-m level walkway. Muscular endurance was measured using the tests of sit-up and inflections-extensions of elbows. All the variables of the study were assessed at the beginning, in the 7-weeks, and in the 14-weeks of training methods. Results. Declines in body weight (16%), percent fat (12.1%), fat weight (26.4%), abdominal fat (34.2%), and waist circumference (10.4%) were found. A significant decrease in FPG (13%), fasting serum insulin (60.9%), HOMA-IR (64.7%), total cholesterol (12.2%), LDL-cholesterol (20.3%), triglycerides (92.8%), and VLDL-triglycerides (17.5%) was shown. In contrast, significant increase in HDL-cholesterol (27.13%) was found. The peak oxygen consumption VO2peak relative to body weight improved more in the 14-weeks training program (13.4%). Obese women exhibited higher values in the 14-weeks training program for speed gait (16.5%), cadence (9.1%), and stride length (15.7%) during no

关键词： Lipoproteins Body Composition Calorie Restriction Physical Exercise Obese Congolese Women

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Feasibility of Acousto-Electric Tomography

arXiv

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arXiv 2019年

作者： Jensen, Bjørn Kirkeby, Adrian Knudsen, Kim Faculty of Information Technology University of Jyväskylä Finland Department of Numerical Analysis and Scientific Computing Simula Research Laboratory Oslo Norway Department of Applied Mathematics and Computer Science Technical University of Denmark Kgs Lyngby Denmark

In acousto-electric tomography the goal is to reconstruct the electric conductivity in a domain from electrostatic boundary measurements of corresponding currents and voltages, while the domain is penetrated by a time-dependent acoustic wave. In this paper we provide an in-silico model of the entire coupled physics scenario and perform computational experiments. We propose a complete inversion framework for acousto-electric tomography in two steps: First the interior power density is obtained from boundary measurements by solving a linear inverse problem;second the interior conductivity is reconstructed from the power density by solving a non-linear, fairly well-posed problem. We develop a numerical model with realistically chosen parameters inspired by medical imaging. The critical signal strength is analyzed and the omnipresent Johnson-Nyquist noise is estimated. With this setup we perform numerical experiments on synthetic data with noise and demonstrate the feasibility of the method. However, our findings are a mix of positive and negative. We reconstruct features even under severe noise conditions, but we also find that the required Signal-to-Noise ratio yet remains infeasible for practical *** Codes 35R30, 65N21 Copyright © 2019, The Authors. All rights reserved.

关键词： Inverse problems

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