Tchawou Tchuisseu Consulting

  Visualizing Customer Distribution with a Geospatial Heatmap In today's data-driven world, understanding your customers' geographical distribution is essential for making informed business decisions. Visualizing this information can provide invaluable clarity, whether you're optimizing your delivery routes, targeting specific markets for promotions, or just gaining insights into your customer base. In this post, I'll walk you through how I used geospatial heatmaps to visualize customer locations based on data from the Fecom Inc. E-commerce Marketplace Orders Data CRM dataset available on Kaggle. What is a Heatmap? A heatmap is a data visualization technique that uses color gradients to represent values in a two-dimensional space. In this case, we're using a heatmap to show the concentration of customer locations worldwide. Areas with higher concentrations of customers will be highlighted in warmer colors, making it easy to spot where most of your customers ar...

This article deals with data analysis and provides a basic example of creating a dashboard using Looker or Data Studio. We start by defining data, which is simply a collection of facts. For instance, the annual sales of a shopping company can be considered data. Facts can also be regarded as measurements, and they can be qualitative or quantitative. Data analysis involves the collection, transformation, and organization of data to draw conclusions, make predictions, and drive decision-making. Therefore, a data analyst is someone who collects, transforms, and organizes data to facilitate informed decision-making. For those unfamiliar with the term, decision-making refers to using facts to guide business strategy. The data analysis process comprises six phases: Ask: The analyst must ask the right and effective questions, define the problem, use structured thinking, and communicate with others. Prepare: In this phase, the analyst understands how the data is generated and collected. Data...

Tchawou Tchuisseu Consulting provides guidance and research support to Master's and Ph.D. students specializing in Fundamental Physics, Mechanics, and Electromechanical Systems. We offer assistance in various aspects of research and can suggest relevant topics within these fields. If you are interested, feel free to contact us via our contact form—we would be happy to assist you. You can also explore my research profile on   Scopus

For many years, creators or designers of patterns used, for the reproduction of drawings observed in nature, the usual drawing tools such as pencil, eraser, ruler, colors... In order to mimic the patterns or drawings observed in nature, the Turing model used, in particular, the simple BVAM model which is defined as a system of two coupled partial differential equations named reaction-diffusion equations. After determining the mathematical model, a study of the dynamic behavior of this system led to the determination of the condition to obtain Turing patterns. The numerical simulations of this system with Fortran 90, gave the results which, plotted on Matlab, permitted to reproduce of many complex Turing patterns for instance patterns drawn with lines, which describe the skin of zebra; and those with points which describe a skin of a leopard. The method used to obtain these patterns constitutes the first automaton called numerical-mathematical automaton. With the aim of controlling the ...

 

Abstract Blade Tip Timing (BTT) technology is concerned with the estimation of turbomachinery blade stresses. The stresses are determined from BTT data by relating the measured tip deflection to the stresses via Finite Element (FE) models. The correlation of BTT measurements with FE predictions involves a number of uncertainties. This paper presents the process for validating the FE stress and deflection predictions of aero-engine compressor blades under non-rotation conditions as a critical preliminary step toward the complete understanding of their dynamic behavior under rotating conditions when using BTT measurements. The process steps are described in detail, including the FE modeling and analysis of the blades and the blade-disk assembly, and the measurements of the blade tip deflection and blade stress. Furthermore, the uncertainties associated with the FE modeling and the measurement processes are quantified. The results show that the FE model is valid considering the control of...

  Purpose Blade tip timing (BTT) is a promising non-contact method for the measurements of blade tip displacement in turbo-machinery. Despite the advantages, this method offers, one of its drawbacks is the highly under-sampled data measured. The quality of these data depends on the position of the probes in the engine casing. This work aims to determine the placement of the probes for which the highest quality of data, hence the best accuracy of the vibration parameters are obtained. Methods Thus, the present work proposes a statistical BTT method based on the minimization of some statistical variables to determine the placement of the probes. Results This work presents a defined number of probes, which of the regular and irregular probe arrangement leads to the determination of vibration parameters with higher accuracy. It is found that mostly all the subsets with probes irregularly spaced are the ones giving a better accurate estimation of the amplitudes. Conclusion This work has...