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Modeling the chemical heterogeneity of tonalite-trondhjemite-granodiorite intrusive suites

LITHOS 2022年 422卷

作者： Mathieu, Lucie UQAC Univ Quebec Chicoutimia CERM Ctr dEtude Ressources Minerales DSA Dept Sci Appl 555 boul Univ Chicoutimi PQ G7H 2B1 Canada

Insights into the source and partial-melting conditions of tonalite-trondhjemite-granodiorite (TTG) and other tonalite-dominated intrusive suites provide essential constraints on the tectonic regimes prevailing before 2.5 Ga. Most petrogenetic interpretations rely on whole-rock chemical data and neglect the role of differentiation on primitive melt composition. Indeed, the processes of mineral separation from residual melt (fractionation) and of mineral sorting in a low-melt-fraction mush are rarely evaluated for tonalite-dominated magmatism. Here, nu-merical modeling provides quantitative constraints on fractional crystallization and mineral sorting for tonalite-dominated suites of the Abitibi greenstone belt, Superior craton, Canada. It is concluded that differentiation can be responsible for most within-suite chemical heterogeneity. The modeling shows that amphibole fractionation alone is sufficient to explain the range of HREE observed in the studied intrusive suites, indicating that the relationship between HREE content and partial-melting depth is not always straightforward. The modeling also shows that mineral sorting can explain chemical heterogeneities as well as primitive melts produced at distinct pressures. Also, the fractional crystallization of amphibole under various temperature conditions explains the contrasting Nb and Ti contents of the studied intrusive phases. The chemical heterogeneity of TTG suites can be explained using different modeling assumptions (e.g., fractional crystallization, mineral sorting, melts produced at distinct pressures) and Neoarchean tonalite-dominated magmatism likely results from a diversity of petro-genetic processes. The petrogenesis of individual intrusions should thus be interpreted with caution before drawing conclusions on source processes and, by extension, the geodynamic settings.

关键词： TTG intrusive suite Tonalite Abitibi greenstone belt python language Numerical model Archean

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Fuzzy control-based system feed-back by OBD-II data acquisition for complementary injection of hydrogen into internal combustion engines

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INTERNATIONAL JOURNAL OF HYDROGEN ENERGY 2020年第51期45卷 26604-26612页

作者： Macias-Bobadilla, G. Becerra-Ruiz, J. D. Estevez-Ben, Adyr A. Rodriguez-Resendiz, Juvenal Univ Autonoma Queretaro Fac Ingn Col Las Campanas 76010 Queretaro Mexico

Since 1996, the California Air Resources Board has established the OBD-II as a communication protocol that systems use to control gas emissions. Such a standard was created in 1988 and allows modern vehicles to obtain technical engine data such as fuel injection, speed, and air mass flow. In this article, an experimental test bench is presented using the Raspberry-Pi 3 programming board and a serial connection to the OBD-II port. Also, the standard ELM327 is employed as a connection adapter to analyze data sets and to calculate the ideal time for hydrogen injection. This process is achieved by an in-situ generator as a supplementary fuel source for internal combustion engines. It permits the reduction of greenhouse gas emissions and improves fuel efficiency, as it has already been reported in multiple previous types of research. The methodology describes the process of acquiring data through the OBD-II port, the type of hydrogen generator, and the calibration implemented according to expert system rules as well as the installation process of the systemin the experimental vehicle. The developed algorithm is implemented using the programming language python to determine the ideal time for activating the hydrogen generator. The results include simulation behavior of the fuzzy logic algorithm in Matlab of vehicle engine for its comparison with the validated results and offer a proposal to optimize hydrogen injection for future researches. Then, the efficiency of electrolyzer in ICE is improved by extending the lifetime of the entire device and the electrolyte. (C) 2020 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

关键词： OBD-II port Embedded system Fuzzy logic control python language Hydrogen electrolyzer Green energy

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Parameter optimization and economic analysis of a single-effect mechanical vapor compression (MVC) distillation system

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DESALINATION AND WATER TREATMENT 2020年 201卷 75-85页

作者： Liu, Cong Bi, Mingshu Cui, Guangrui Dalian Univ Technol Sch Chem Machinery Dalian 116023 Peoples R China

The current study is focused on the parameter optimization and economic analysis of a single-effect mechanical vapor compression (MVC) distillation system design. For this purpose, the effect of the parameters (seawater temperature, seawater flow rate, feed seawater temperature, and feed seawater and saturation temperature difference) on the MVC system performance (recovery ratio) is first discussed to obtain the optimal parameters. Second, an economic analysis is conducted to compare the simplified cost of water (SCOW) values at various plant capacities and recovery ratios. The results indicate that the recovery ratio grows with the increase in feed seawater temperature and the temperature difference between the feed temperature and saturation temperature. The variation in seawater temperature only affects the preheater area, not the evaporator performance. With increasing seawater temperature, the preheater area decreases. The economic analysis indicates that with increased feed seawater flow rate and recovery ratio, SCOW shows a decreasing trend from 2.37 to 2.03 ($/ton). With an increased feed seawater flow rate and recovery ratio, SCOW also decreased.

关键词： Mechanical vapor compression Single-stage python language Parameters optimization Economic analysis

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python-based Model Optimization Platform

Python-based Model Optimization Platform

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作者： Zhangjin Ding School of Hospitality and Tourism Management University of Surrey

With the increasing degree of informatization in today's society,the presentation of problems has become more complex,which puts forward higher requirements for people's ability to solve *** is a popular language recently,and it is very popular among developers because of the many mature libraries that are encapsulated in *** can use related libraries in python and use open-source related libraries for algorithm *** main purpose of this paper is to study the optimization platform of the model based on *** paper mainly analyzes the characteristics of the python language and the structure of python programming,and uses the relevant database of python to realize the modeling *** experiment shows that the accuracy of the decision tree model is 96.94 %,the accuracy of the KNN classification model is 89.05%.

关键词： python language Model Optimization Database Sets python Programs

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Otimização de funções lógicas majoritárias utilizando programação linear inteira binária e quantificação de primitivas

Otimização de funções lógicas majoritárias utilizando ...

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作者： Júnior, José Virgílio de Oliveira Universidade Estadual Paulista

A tecnologia semicondutora tem sido a base dos circuitos lógicos digitais da computação moderna. O uso de portas lógicas dos padrões AND e NAND tem direcionado o projeto e implementação destes circuitos. Recentes pesquisas em nanotecnologia têm explorado horizontes para o aumento da velocidade e eficiência de circuitos digitais, diminuindo sua escala de integração. Rompendo um paradigma, as portas lógicas majoritárias têm sido utilizadas no projeto destes circuitos, substituindo suas antecessoras clássicas. Um dos grandes desafios destas tecnologias é a simplificação e a otimização destes circuitos lógicos. Neste trabalho, formula-se a otimização de funções booleanas empregando funções majoritárias primitivas através de um problema de programação linear inteira binária, por meio do desenvolvimento de um software. Resultados obtidos mostram que o método apresentado é compacto e promissor. Adicionalmente, apresenta-se a dedução para a função polinomial que determina a quantidade de funções majoritárias primitivas como função da quantidade de variáveis e sua representatividade dentre todas as funçõ*** technology has been the basis of the digital logic circuits of modern computing. The use of AND and NAND standards logic gates has guided the design and implementation of these circuits. Recent research in nanotechnology has explored horizons for increasing the speed and efficiency of digital circuits, decreasing their scale of integration. Breaking a paradigm, the majority logic gates have been used in the design of these circuits, replacing their classic predecessors. One of the great challenges of these technologies is the simplification and optimization of these logic circuits. In this work, the optimization of Boolean functions is formulated using primitive majority functions through a problem of binary integer linear programming, through the development of an software. Results obtained show that the developed method is compact and promising. In addition

关键词： Otimização de circuitos lógicos Lógica majoritária Funções primitivas Programação linear inteira Linguagem python CPLEX Optimization of logic circuits Majority logic Primitive functions Integer linear programming python language Dissertação de

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A structural health monitoring python code to detect small changes in frequencies

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MECHANICAL SYSTEMS AND SIGNAL PROCESSING 2021年 147卷 107087-107087页

作者： Nedelcu, Dorian Gillich, Gilbert-Rainer Eftimie Murgu Univ Resita P Ta Traian Vuia 1-4 Resita 320085 Romania

Observing the occurrence of cracks in the early stage remains a challenge, as changes in the modal parameters produced by these cracks are small. This remark is also valid for deeper cracks because in most experiments it is possible to acquire short signals, which ensure a coarse frequency resolution. Therefore, the accurate estimation of frequency by standard methods is impossible. To improve frequency readability, we designed an algorithm that we implemented in the PyFEST application, written in python programming language. It allows a fast and accurate calculation of harmonic components of a signal. PyFEST is based on an original signal post-processing algorithm, which consists of overlapping spectra for the signal iteratively cropped. The different signal lengths ensure different positions of the spectral lines in the overlapped spectrum. Therefore, adding numerous spectral lines of different positions in the overlapped spectrum we obtain a dense spectrum with significantly increased frequency resolution. From this spectrum, we select the three magnitudes of the individual spectra found in the frequency range of interest. By interpolation, we attain the maximum that has usually an inter-line position representing the estimated frequency. To this frequency, we apply a correction term that is known a priori and so we improve the frequency estimation. To test the reliability of PyFEST, we provide examples for signals generated with known frequencies that have one or more harmonic components. For signals containing one harmonic component the exact frequency was found, while for signals with multiple components the error are less than 0.1%. The frequency change is exactly estimated for both types of signals. Because PyFEST allows observing minor frequency changes, so we succeed to localize the crack position and severity in real beams with high precision. (C) 2020 Elsevier Ltd. All rights reserved.

关键词： Frequency estimation Discrete Fourier Transform Algorithm python language Damage detection

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Assessment of automated evapotranspiration estimates obtained using the GP-SEBAL algorithm for dry forest vegetation (Caatinga) and agricultural areas in the Brazilian semiarid region

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AGRICULTURAL WATER MANAGEMENT 2021年 250卷 106863-106863页

作者： Santos de Lima, Carlos Eduardo de Oliveira Costa, Valeria Sandra Galvincio, Josicleda Domiciano da Silva, Richarde Marques Guimaraes Santos, Celso Augusto Univ Fed Pernambuco PRODEMA Recife PE Brazil Univ Fed Paraiba Postgrad Programme Geog CCEN UFPB BR-58051900 Joao Pessoa Paraiba Brazil Univ Fed Paraiba Dept Geosci BR-58051900 Joao Pessoa Paraiba Brazil Univ Fed Paraiba Dept Civil & Environm Engn BR-58051900 Joao Pessoa Paraiba Brazil

Real evapotranspiration (ETr) plays a key role in water balance, especially for dry forest vegetation (Caatinga) and irrigated agricultural areas, as is the case in the Petrolina region located in the Brazilian semiarid region (BSAR). Population growth increases the need for food and the use of water resources, which are scarcer in semiarid regions. Thus, knowledge of the energy balance (EB) and radiative balance are indispensable for the management of water resources, especially in irrigated agricultural areas. Currently, one of the biggest challenges in the application of algorithms for estimating ETr based on satellite images is the calibration of the EB. The goal of this study was to evaluate the applicability of Geographic Resources Analysis Support System (GRASS) python surface EB algorithm for land (GP-SEBAL) to calculate ETr for Caatinga vegetation and agricultural areas in the BSAR. GP-SEBAL was applied to two images from Landsat 8 obtained in 2013 and compared with manual SEBAL and observed data. In this study, kappa coefficient accuracy was used to compare the ground truth data and predicted land use and land cover. The performance of algorithms in determining the EB components, land-surface temperature (LST), net radiation (R-n), soil heat flux (G), latent heat flux (L-E), sensible heat flux (H), and ETr were compared with statistical indices and uncertainty percentages (PUs) were calculated. In addition, a sensitivity analysis using a deviation of 30 W/m(2) with an interval of 5 W/m(2) was used to analyze the sensitivity of ETr. The results showed a strong correlation between GP-SEBAL and manual SEBAL for ETr, LST, R-n, L-H, and H. The values suggest the regularity of estimating the EB in an automated manner. The results indicate a small PU difference in the estimated ETr values calculated using GP-SEBAL and SEBAL for two images of 10.87% and 20.11% for Caatinga vegetation and 15.01% and 35.16% for agriculture, respectively. We conclude that GP-SEBAL is

关键词： Automated evapotranspiration Caatinga vegetation Agriculture GRASS GIS python language SEBAL Brazil

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Study on Evolutionary Algorithm Online Performance Evaluation Visualization Based on python Programming language

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Journal of Systems Science and Information 2014年第1期2卷 86-96页

作者： Ruifeng SHI Ning ZHANG Runhai JIAO Zhenyu ZHOU Li ZHANG North China Electric Power University High-Tech Research and Development Center Ministry of Science and Technology School of Electric & Electronics Engineering School of Control & Computer Engineering

Evolutionary computations are kinds of random searching algorithms derived from natural selection and biological genetic evolution behavior. Evaluating the performance of an algorithm is a fundamental task to track and find the way to improve the algorithm, while visualization technique may play an important act during the process. Based on current existing algorithm performance evaluation criteria and methods, a python-based programming tracking strategy, which employs 2-D graphical library of python matplotlib for online algorithm performance evaluation, is proposed in this *** and displaying the performance of genetic algorithm(GA) and particle swarm optimization(PSO) optimizing two typical numerical benchmark problems are employed for verification and validation. Results show that the tracking strategy based on python language for online performance evaluation of evolutionary algorithms is valid, and can be used to help researchers on algorithms’ performance evaluation and finding ways to improve it.

关键词： evolutionary algorithm online performance evaluation python language genetic algorithm particle swarm optimization

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Predicting Stock Prices Using Machine Learning Methods and Deep Learning Algorithms: The Sample of the Istanbul Stock Exchange

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GAZI UNIVERSITY JOURNAL OF SCIENCE 2021年第1期34卷 63-82页

作者： Demirel, Ugur Cam, Handan Unlu, Ramazan Gumushane Univ Fac Econ & Adm Sci TR-29000 Gumushane Turkey

Stock market prediction in financial and commodity markets is a major challenge for speculators, investors, and companies but also profitable with an accurate prediction. Thus, obtaining accurate prediction results becomes extremely important especially while the stock market is essentially volatile, nonlinear, complicated, adaptive, nonparametric and unpredictable in nature. This study aims to forecast the opening and closing stock prices of 42 firms listed in Istanbul Stock Exchange National 100 Index (ISE-100) using well-known machine learning methods, Multilayer Perceptrons (MLP) and Support Vector Machines (SVM) models and deep learning algorithm, Long Short Term Memory (LSTM) by comparing their forecasting performances. The analysis includes 9 years of data from 01.01.2010 to 01.01.2019. For each firm 2249 data for the opening and 2249 for the closing stock prices were established as daily data sets. Forecasting performance of these methods was evaluated by applying different criteria for each model: root mean squared error (RMSE), mean squared error (MSE) and R-squared (R2). The results of this study show that MLP and LSTM models become advantageous in estimating the opening and closing stock prices comparing to SVM model.

关键词： Stock market prices Estimation Machine learning Deep learning python language

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Finite element analysis of fatigue crack growth in CFRP-repaired four-point bend specimens

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ENGINEERING STRUCTURES 2019年 183卷 398-407页

作者： Huang, Cheng Chen, Tao Feng, Siyuan Tongji Univ Minist Educ Key Lab Performance Evolut & Control Engn Struct Shanghai 200092 Peoples R China Tongji Univ Dept Struct Engn Shanghai 200092 Peoples R China Univ Corp Polar Res Beijing 100875 Peoples R China Tongji Univ Dept Bridge Engn Shanghai 200092 Peoples R China

This paper presents a finite element (FE) study on fatigue crack growth in carbon fiber-reinforced polymer (CFRP) repaired four-point bend (FPB) specimens with an edge crack subjected to various cyclic loadings (pure mode I, pure mode II and mixed mode I/II). The crack propagation rate was described using NASGRO model together with Tanaka formula, while the crack growth direction was determined by maximum circumferential stress criterion (MCSC). A simulation program was developed using python scripting in conjunction with FE software ABAQUS to handle the automated fatigue crack growth modelling. The effects of different shear-tension loading ratios (K-II/K-I) and CFRP layer numbers on CFRP repair performance were first investigated by a comparative analysis of numerical and experimental results. The FE results appeared to be in reasonable agreement with test data in terms of specimens' failure modes, crack growth trajectories and fatigue lives. Based on the developed program, a parametric study was conducted to gain a deeper insight into the effects of K-II/K-I ratios, the patching layer number, Young's modulus and width of CFRP on FPB specimens' fatigue behavior. The results indicated that the above-mentioned parameters have a significant influence on fatigue crack growth to varying degrees. This work provides an effective way of predicting the fatigue life and mixed mode I/II crack growth trajectories with high computational efficiency and accuracy.

关键词： CFRP Mixed mode cracks python language Four-point bend specimens

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