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Landsat 8 and Alos DEM geological mapping reveals the architecture of the giant Mesoproterozoic Kunene Complex anorthosite suite(Angola/Namibia)

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Geoscience Frontiers 2023年第5期14卷 308-328页

作者： jeremie lehmann Alan M.Brower Trishya M.Owen-Smith Grant M.Bybee Ben Hayes Department of Geology University of JohannesburgSouth Africa Jurumani Solutions Midrand 1685South Africa School of Geosciences University of the Witwatersrand2050 JohannesburgSouth Africa

The quasi-monomineralic composition and huge spatial extent of massif-type anorthosites make detecting lithological regions and boundaries *** use processed Landsat 8 OLI multispectral images and ALOS digital elevation models integrated with field and petrographic observations to characterize the architecture of the≥17,000 km2 Mesoproterozoic Kunene Complex(KC)anorthosite suite in Angola and *** of false colour composite bands 6,4 and 1 and band ratios 4/2(ferric minerals),6/5(ferrous minerals)and 6/7(OH-bearing minerals),as well as assessment of the PCA and MNF matrices of eigenvectors and eigenvalues from Landsat 8 data using available spectral libraries,have substantially improved the interpretation of the Kunene Complex rock types and *** dataset shows that the reflectance signature of KC anorthositic rocks is primarily a function of the degree of metasomatism,which is most significant in olivine-poor rock *** weathering intensity of the olivine-bearing anorthosite substrate is another control on the remote sensing *** remote sensing and field-based approach has enabled us to divide the KC anorthosite suite into six distinct spectral and architecture domains and at least four distinct magmatic plutons when considering available high-precision geochronological *** northernmost pluton(ca.1380 Ma)of massive,olivine-bearing anorthosite shows distinct remote sensing signatures in the band ratio and MNF images marked by the dominance of OH-bearing and subordinate ferric *** central pluton(1412–1400 Ma)is composed of NNE-to N-striking steeply dipping interlayered olivine-bearing and olivinepoor anorthosite,which correspond to ridges of dark-coloured,low albedo rocks with subordinate slightly oxidised ferrous mineral spectral signatures,and valleys of low albedo and OH-bearing mineral spectral signatures.A NNE-striking tectonic zone along a linear belt of KC granite gneiss separates the northern and central plu

关键词： Remote sensing Structural geology LANDSAT 8 Alos DEM Lineaments Proterozoic massif-type anorthosite

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Application of systems engineering for development of multifunctional metro systems:Case study on the fifth metro line of the Lyon metro,France

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Underground Space 2021年第1期6卷 24-34页

作者： Nicolas Ziv Andrea Kindinis jeremie Simon Christophe Gobin Universite Paris-Est Institut de Recherche en ConstructibiliteESTPF-94230 CachanFrance Egis Rail 170 Avenue ThiersF-69006 LyonFrance

Several studies,from both the private sector(McKinsey,Engie,and EY)and international organizations(OECD,World Bank,and IMF),have shown that urban population in cities will grow in the coming *** growth implies an increased pressure on all urban networks-transporting people,goods,water,waste,electricity,information,heat,and so *** functions are executed by urban infrastructures entailing huge *** have dedicated our research to the optimization of infrastructures and more precisely of metro systems to offer global solutions to fulfill city needs-the multifunctional *** innovative multifunctional metro system incorporates several other urban networks—optical fiber,high-voltage electric cables,water and sewage pipes,geothermal piles,pneumatic systems,merchandise shuttles,and many others depending on the context of each *** aim of the multifunctional metro is to meet several needs of cities with one common *** a function to a system increases its *** this reason,we focus our research on the application of methods that allow better management of the complexity:systems engineering applied to *** the first part of the paper,we will present a benchmark of multipurpose infrastructures across the world and the benefits of such a system for *** the second part,we will present and illustrate the concept of the multifunctional ***,we will present the method based on systems engineering to analyse multifunctional ***,the concept of a multifunctional metro is illustrated with a case study on the future fifth metro line of Lyon,*** conclusion,we will discuss the current barriers for the development of multifunctional infrastructures.

关键词： Multifunctionality Systems engineering Infrastructure Underground Metro

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Understanding bike trip patterns leveraging bike sharing system open data

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Frontiers of Computer Science 2017年第1期11卷 38-48页

作者： Longbiao CHEN Xiaojuan MA Thi-Mai-Trang NGUYEN Gang PAN jeremie JAKUBOWICZ Institut Mines-Telecom Telecom SudParis UMR CNRS Samovar Evry 91000 France Laboratoire d'Informatique de Paris 6 (LIP6) University of Paris 6 Paris 75005 France College of Computer Science Zhejiang University Hangzhou 310027 China Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong China

Bike sharing systems are booming globally as a green and flexible transportation mode, but the flexibility also brings difficulties in keeping the bike stations balanced with enough bikes and docks. Understanding the spatio-temporal bike trip patterns in a bike sharing system, such as the popular trip origins and destinations during rush hours, is important for researchers to design models for bike scheduling and sta- tion management. However, due to privacy and operational concerns, bike trip data are usually not publicly available in many cities. Instead, the station feeds about real-time bike and dock number in stations are usually public, which we refer to as bike sharing system open data. In this paper, we propose an approach to infer the spatio-temporal bike trip patterns from the public station feeds. Since the number of possible trips （i.e., origin-destination station pairs） is much larger than the number of stations, we define the trip infer- ence as an ill-posed inverse problem. To solve this problem, we identify the sparsity and locality properties of bike trip patterns, and propose a sparse and weighted regularization model to impose both properties in the solution. We evaluate our method using real-world data from Washington, D.C. and New York City. Results show that our method can effectively infer the spatio-temporal bike trip patterns and outperform the baselines in both cities.

关键词： bike sharing system open data ill-posed inverse problems urban computing

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Incidental and secondary findings in trio exome sequencing

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Genes & Diseases 2024年第4期11卷 152-154页

作者： Camille Cohen Emeline Bellanger jeremie Mortreux Laure Raymond Francois Vialard Rodolphe Dard Department of Genetics Centre Hospitalier Intercommunal de Poissy-Saint-Germain-en-LayePoissy 78300France RHuMA UMR-BREEDINRA-ENVA-UVSQMontigny le Bretonneux 78180France Service de Genetique Laboratoire Eurofins BiomnisLyon 69007France

Exome sequencing(ES)generates secondary findings(SFs)in 2%of tested individuals if one follows the American College of Medical Genetics and Genomics(ACMG)guide-lines.i,z2 However,the rate of incidental and secondary findings(ISFs)is higher in routine clinical practice because of(i)the use of trio ES instead of solo sequencing and(i)the exclusion of the incidental findings(IFs)of medical value concerning genes in the ACMG ***,it is not clear how sufficient is a restricted list of genes to detect every ISF of major clinical value;and what is the amount of additional workload for the laboratory.

关键词： routine clinical finding

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Assessing the impact of conceptual mineral systems uncertainty on prospectivity predictions

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Geoscience Frontiers 2022年第6期13卷 182-207页

作者： Mark D Lindsay Agnieszka M.Piechocka Mark W Jessell Richard Scalzo jeremie Giraud Guillaume Pirot Edward Cripps Commonwealth Scientific and Industrial Research Organisation Mineral Resources Australian Resources Research CentreWA 6151Australia Mineral Exploration Cooperative Research Centre Centre for Exploration TargetingSchool of Earth SciencesThe University of Western AustraliaPerthWA 6009Australia ARC Centre for Data Analytics for Resources and Environments(DARE) Perth and SydneyAustralia University of Sydney School of Mathematics and StatisticsSydneyAustralia Universitéde Lorraine GeoRessourcesCNRS54000 NancyFrance The University of Western Australia Department of Mathematics and StatisticsPerthAustralia

The past two decades have seen a rapid adoption of artificial intelligence methods applied to mineral exploration. More recently, the easier acquisition of some types of data has inspired a broad literature that has examined many machine learning and modelling techniques that combine exploration criteria,or ’features’, to generate predictions for mineral prospectivity. Central to the design of prospectivity models is a ’mineral system’, a conceptual model describing the key geological elements that control the timing and location of economic mineralisation. The mineral systems model defines what constitutes a training set, which features represent geological evidence of mineralisation, how features are engineered and what modelling methods are used. Mineral systems are knowledge-driven conceptual models, thus all parameter choices are subject to human biases and opinion so alternative models are ***, the effect of alternative mineral systems models on prospectivity is rarely compared despite the potential to heavily influence final predictions. In this study, we focus on the effect of conceptual uncertainty on Fe ore prospectivity models in the Hamersley region, Western Australia. Four important considerations are tested.(1) Five different supergene and hypogene conceptual mineral systems models guide the inputs for five forest-based classification prospectivity models model.(2) To represent conceptual uncertainty, the predictions are then combined for prospectivity model comparison.(3)Representation of three-dimensional objects as two-dimensional features are tested to address commonly ignored thickness of geological units.(4) The training dataset is composed of known economic mineralisation sites(deposits) as ’positive’ examples, and exploration drilling data providing ’negative’sampling locations. Each of the spatial predictions are assessed using independent performance metrics common to AI-based classification methods and subjected to geological pl

关键词： Uncertainty Modelling Prospectivity Economic geology Geological plausibility Forest-based classification

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Development of a Quantitative Prediction Support System Using the Linear Regression Method

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Journal of Applied Mathematics and Physics 2023年第2期11卷 421-427页

作者： jeremie Ndikumagenge Vercus Ntirandekura Center of Research in Infrastructure Environment and Technology (CRIET) University of Burundi Bujumbura Burundi

The development of prediction supports is a critical step in information systems engineering in this era defined by the knowledge economy, the hub of which is big data. Currently, the lack of a predictive model, whether qualitative or quantitative, depending on a company’s areas of intervention can handicap or weaken its competitive capacities, endangering its survival. In terms of quantitative prediction, depending on the efficacy criteria, a variety of methods and/or tools are available. The multiple linear regression method is one of the methods used for this purpose. A linear regression model is a regression model of an explained variable on one or more explanatory variables in which the function that links the explanatory variables to the explained variable has linear parameters. The purpose of this work is to demonstrate how to use multiple linear regressions, which is one aspect of decisional mathematics. The use of multiple linear regressions on random data, which can be replaced by real data collected by or from organizations, provides decision makers with reliable data knowledge. As a result, machine learning methods can provide decision makers with relevant and trustworthy data. The main goal of this article is therefore to define the objective function on which the influencing factors for its optimization will be defined using the linear regression method.

关键词： Prediction Linear Regression Machine Learning Least Squares Method

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Risk Factor Hypertension Prediction Model

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Journal of Applied Mathematics and Physics 2023年第2期11卷 428-437页

作者： Vercus Ntirandekura jeremie Ndikumagenge Center of Research in Infrastructure Environment and Technology (CRIET) University of Burundi Bujumbura Burundi

According to the 2020 Ministry of Health reports, the public health sector is facing an acute shortage of logistical resources and qualified competent human resources, as evidenced by the doctor-to-hospital ratio in relation to population [1]. Aside from these structural and cyclical issues, the above ratios are even lower in rural areas with low incomes. Underdevelopment is a major impediment to establishing a normal public health situation, though the Burundian government is working hard to ensure that it is at an acceptable level. Furthermore, some Burundian traditions, customs, and practices are undermining efforts to build an international-standard public health facility. Indeed, the mental state of a people (tradition, culture, and practices) has a significant impact on the fluctuation of risk factors in public health. It is determined by the socioeconomic development and sociocultural behavior of the population. This demonstrates that hypertension is a public health concern in Burundi. Unfortunately, the vast majority of people are completely unaware of the risks that high blood pressure poses to public health. High blood pressure, on the other hand, has always been a key physiological measure in medical examinations, serving as one of the most important biological markers in clinical evaluation. As a result, cardiovascular diseases caused by high blood pressure have a significant impact on mortality worldwide, particularly in Burundi. Predicting high blood pressure based on risk factors can help to reduce complications associated with this disease, which is known as a silent killer. The digital era provides a variety of tools for studying, analyzing, managing, and monitoring the risk factors that contribute to and degenerate high blood pressure. The primary goal of this work is to create a decision-making tool based on the outcomes of high blood pressure epidemic and/or pandemic predictions from sanitarian districts. The current paper work employs a predicti

关键词： Artificial Intelligence Machine Learning Prediction Gradient Descent Hypertension Cardiovascular Disease

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Modeling the Dynamics of the Random Demand Inventory Management System

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Journal of Applied Mathematics and Physics 2023年第2期11卷 438-447页

作者： jeremie Ndikumagenge Jean Pierre Ntayagabiri Center of Research in Infrastructure Environment and Technology (CRIET) University of Burundi Bujumbura Burundi

At any given time, a product stock manager is expected to carry out activities to check his or her holdings in general and to monitor the condition of the stock in particular. He should monitor the level or quantity available of a given product, of any item. On the basis of the observation made in relation to the movements of previous periods, he may decide to order or not a certain quantity of products. This paper discusses the applicability of discrete-time Markov chains in making relevant decisions for the management of a stock of COTRA-Honey products. A Markov chain model based on the transition matrix and equilibrium probabilities was developed to help managers predict the likely state of the stock in order to anticipate procurement decisions in the short, medium or long term. The objective of any manager is to ensure efficient management by limiting overstocking, minimising the risk of stock-outs as much as possible and maximising profits. The determined Markov chain model allows the manager to predict whether or not to order for the period following the current period, and if so, how much.

关键词： Ergodic Markov Chain Irreducible Markov Chain Modeling Optimization Stochastic Processes

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Dynamic Fracture of a Semi-Crystalline Bio-Based Polymer Pipe: Effect of Temperature

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Journal of Minerals and Materials Characterization and Engineering 2021年第3期9卷 227-244页

作者： Jean Benoit Kopp jeremie Girardot Arts et Metiers Institute of Technology Université de Bordeaux CNRS INRA INP I2M HESAM Université Talence France

The influence of temperature on the resistance to rapid crack propagation of a semi-crystalline bio-based polymer was studied. The experimental results described in this study allow to initiate a first discussion on the role of viscosity and its link with the fracture behaviour and a heterogeneous microstructure such as the semi-crysalline polymer. Dynamic fracture tests on pipes were carried out. It would appear that a temperature decrease of approximately 40℃ relative to ambient has no significant influence on the average crack propagation velocity (≈0.6cR), fracture energy and surface roughness. On the contrary, crack propagation paths seem to vary with temperature. The difference in fracture behaviour between the amorphous and crystalline phase varies significantly as a function of temperature. The difference between the initiation resistance and the rapid propagation also varies. This difference seems to be significantly reduced by lowering the temperature. The mechanisms of cavitation damage and plastic flow are increasingly limited by the decrease in temperature (and therefore in macromolecular mobility). Crack propagation in the pipe is more extensive and therefore more critical. This is emphasised in particular by the probability of the material to be macro-branched as the temperature decreases.

关键词： Dynamic Fracture Rapid Crack Propagation Semi-Crystalline Pipe Fractography

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中国城市研究的在地实践与思考--中国城市研究专家jeremie Descamps访谈

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北京规划建设 2017年第6期 194-197页

作者： jeremie Descamps 刘丽丹城市咨询与研究机构sinapolis 法国巴黎-瓦尔德塞纳国立高等建筑学院法国巴黎第一大学(先贤祠索邦大学)地理学院博士学校8686研究室

INTRODUCTION引言jeremie Descamps先生从上世纪90年代来到中国开始从事中国城市的研究与实践工作,至今已有17年。本次采访以其在中国实地的研究与实践工作为基础,就在地的研究与实践带给他的思考、中国城市的发展与变迁、中法两国城市... 详细信息

INTRODUCTION引言jeremie Descamps先生从上世纪90年代来到中国开始从事中国城市的研究与实践工作,至今已有17年。本次采访以其在中国实地的研究与实践工作为基础,就在地的研究与实践带给他的思考、中国城市的发展与变迁、中法两国城市发展的可比性以及中国城市未来发展面临的挑战与建议等主题展开访谈。

关键词：中国城市研究

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