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Last update 05-08-2024
by AeonLabs
where to buy ready to use.
░ ░AeonLabs, a personal brand of Miguel T., is about the conceptualization, design, and prototyping of open technology solutions for Enterprise businesses and Institutions. To know more about the author visit his LinkedIn profile. To learn more about AeonLabs click here.
Open science is a transformative approach to research and knowledge dissemination that emphasizes transparency, collaboration, and accessibility. It encourages scientists and researchers to make their work, including data, methodologies, and findings, openly available to the public and the global scientific community. This not only fosters greater trust in the scientific process but also accelerates the pace of discovery by enabling others to build upon and validate existing research. Open science promotes interdisciplinary collaboration and reduces duplication of efforts, ultimately leading to more robust and reproducible scientific results. By breaking down barriers to access, open science democratizes knowledge, making it available to a wider audience, thus benefiting society as a whole. It represents a significant shift in the way science is conducted and shared, ushering in an era of more inclusive and accountable research. (source: chat.openai.com)
For the past 4 years now, I've been conceptualizing and prototyping open hardware electronics for Smart Data Acquisition Devices (S.D.A.D.) capable of sending, in real-time, experimental data collected from a single specimen/sample directly to a "data repository". Not only that, these smart DAQs are able to authenticate and sign each individual data record in such a way that I am able to argue on any of my research documents and publications, that research data is from a trustworthy origin. The setup is simple: one S.D.A.D. for each individual specimen/sample connected to a swarm of devices capable of collecting and sending experimental data in real-time to a repository. To learn more about this project I invite the reader to click here to open the project's repository here on GitHub. This is an open scientific project where anyone is invited to participate and collaborate.
This is how I want my science to happen. to minimize possible questioning and distrust of data origins and how it was collected and stored during an experimental campaign I set up and supervised. For more information about this growing concern, read "Why Most Published Research Findings Are False".
Vist my open science showcase page on Linkedin
You can view a list of laboratory test procedures on the WIKI on this page. The link is on the menu above and here.
42 peer review records of 34 manuscripts
[ Web of Science ID: AAZ-9463-2021 ] [ 
2024
■ Invited to be a reviewer for the Physica Scripta J. 2.6 I.F.
"Brillouin and Raman Distributed Fiber Optic Sensing based on Machine Learning Techniques: A Review"
■ Invited to be a reviewer for the Journal Smart Materials and Structures 4.1 I.F.
"Research on wireless monitoring system and algorithm for preload force utilizing machine learning and electromechanical impedance"
■ Invited to be a reviewer for the International Journal of Mathematical, Engineering and Management Sciences 1.6 I.F.
"Human-Centered Software Engineering: Rethinking the Interplay of Human-Computer Interaction and Software Engineering in the Age of Digital Transformation"
2023
■ Invited to be a reviewer for the Physica Scripta J. 2.9 I.F.
"Distributed Fiber Optic Acoustic Sensing System intrusion full event recognition based on 1-D MFEWnet"
■ Invited to be a reviewer for the Engineering Research Express J. 1.7 I.F.
"Intelligent Passive Infrared Sensor-based Learning Vector Quantization for Human Detection"
■ Invited to be a reviewer for the Journal Modelling and Simulation in Materials Science and Engineering
"A machine learning based prediction of elasto-plastic response of a short fiber reinforced polymer (SFRP) composite"
■ Invited to be a reviewer for the 18th IBPSA International Conference and Exhibition Building Simulation 2023 Shanghai, China ( https://bs2023.org )
Continue to view a list of peer reviews and contributions I made to this date to advance open scientific research...
Available here, an intelligent system that takes a single document and classifies different writing styles within the document using stylometric analysis, that is worth having a run in python.
6 documents published in international journals
[ Web of Science ID: AAZ-9463-2021 ] [ ORCID ID 0000-0002-5910-5179 ] [ Scopus ID 57197610949 ]
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Click here to view a list of ongoing scientific communications here on Github, I'm currently working on.
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To read my ongoing scientific writing published at Elsevier's SSRN, click here.
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To read any of my published scientific works in international journals to this date click here.
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To View my open experimental data repository on Harvard's dataverse cloud server, click here.
To be able to publish well in any Scientific Journal I strongly advise making available, from the start, in a "data repository", all experimental data related to a document about to be sent for peer review and later for publication.
- here on GitHub
- Any Dataverse. See www.dataverse.org
- on Zenodo
- on Dryad
- on FigShare
- and many other data repository platforms.
AeonLabs invests time and resources in providing open-source code and open hardware electronics, please support purchasing Aeonlabs products! or by becoming a GitHub sponsor. Starts with only $1 / 1€. Links at the top, bottom, and right side pane.
Thank you.
Do you want to learn how to do science and how to learn the scientific method? Here's one of many suggestions to start doing it: ""Writing a scientific article: A step-by-step guide for beginners"" available on the Elsevier website: https://www.sciencedirect.com/science/article/abs/pii/S1878764915001606
Scientific project planning is a vital stage in the research process, requiring careful consideration and organization. It involves defining the project's objectives, specifying research questions, and outlining the experimental or investigative approach. Researchers meticulously plan methodologies, taking into account available resources, budget constraints, and ethical considerations. Establishing clear timelines and milestones ensures progress tracking, while a comprehensive literature review helps position the project within the broader scientific context. Effective communication among team members is crucial, fostering collaboration and a shared understanding of project goals. In essence, scientific project planning sets the groundwork for a systematic and well-executed research endeavor, enhancing the likelihood of producing valuable and meaningful results. (source: chat.openai.com)
Status: Project being planned
The main idea for this project is to develop a work environment using Unreal Engine 5.x where is possible to work experimental data beyond a 2D spreadsheet, in particular time-dependent experimental data that requires motion graphics and animated chart plots.
Status: Project started
I've started preliminary work on my future project in the area of "self-sensing asphalt" for smart roads and highways. The very first task is to understand embedded wireless radio transmission into the surface of the asphalt road itself. This project is scheduled to resume during the 4th trimester of 2024.
Status: Project started
I've started preliminary works on my future project in the area of "rammed earth" construction. The very first task is to understand embedded sensors in construction materials like this one. This project is scheduled to resume during the 4th trimester of 2024..
Validation of Experimental Data Origins: A Swarm of DAQ devices able to Deliver Unique Experimental Data using Blockchain-like Fingerprint ID to a Data Repository
current project Total: > 8000 work.h
Status: Ongoing Project
This Sci. research presents an innovative method for experimental data acquisition and management of collected data in real-time and is compatible with any open environment. The proposed smart DAQ device prototype has the minimum hardware characteristics to handle data measurements collected from sensors locally connected to it, store it on a local CSV or SQLite database file, and finally connect and synchronize data measurements collected with a data repository hosted remotely on a Dataverse.
These Smart DAQ devices are of type "Internet of Everything" (IoE) Smart Devices and are able to connect with each other using swarm intelligence. The main purpose is to increase data integrity and trustworthiness among DAQ devices connected and on all experimental data collected during an experiment or research project.
current project Total: > 300 work.h
current version: 0.5
Status: Ongoing Project
The Dataverse Project is an open-source web application to share, preserve, cite, explore, and analyze research data. It facilitates making data available to others and allows you to replicate others' work more easily. Researchers, journals, data authors, publishers, data distributors, and affiliated institutions all receive academic credit and web visibility. Funded by Harvard University and Powered by Open Scholar.
Digital Transformation on a Small Start-Up Enterprise: Design, Prototype, and Deployment Based on Human-Centered Design Principles for the Construction Sector
current project Total: > 4200 work.h
■ Status: Project Completed ~2 million euros invoiced more than 70 construction workers under my supervision
being peer-reviewed for publication in a Journal
Logistics with real-time management of work activities at a construction site, including building materials and human resources, is an innovation for micro and small enterprises starting up in the construction sector. Enterprises of this size are being run using traditional turn-of-the-century technology tools, namely, excel spreadsheets as data storage. This paper presents a case study of technology implementation at a startup enterprise in the Belgian construction sector between 2018 and mid-2020, and discusses the challenges needed to overcome during the period of digital transformation. A multi-environment logistics platform was designed and prototyped following human-centered design principles enabling the enterprise to move forward and improve work methodologies to work with real-time data. Results after 18 months demonstrated an increased efficiency in all work processes, with a reduction of losses in all aspects of work activities and improved control of production estimates and measurements
continue reading here ...
current project Total: > 4000 work.h
Status: Project Completed
A Deep Neural Network for Electrical Resistance Calibration of Self-Sensing Carbon Fiber Polymer Composites compatible with Edge Computing Structural Monitoring Hardware ElectronicsA Deep Neural Network for Electrical Resistance Calibration of Self-Sensing Carbon Fiber Polymer Composites compatible with Edge Computing Structural Monitoring Hardware Electronics
published in the Journal of Structural Health Monitoring (5yr Impact factor of 5.9) · Mar 24, 2023
The self-sensing ability of materials, in particular carbon fiber polymer composites (SSCFPC), is a must-have requirement when designing a structural monitoring network for remote assessment of structural serviceability. This work presents a study using an Artificial Deep Neural Network (ADNN) where is evaluated the electrical resistance (R) output of specimens subjected to an unchanged deformation state of 2,86% strain for prolonged periods of time.
Six ADNN architectures are evaluated with varying numbers of neurons on pre-defined hidden layers, sharing the same four data inputs and one output. The dataset is based on 3,276 data points collected during the experimental campaign of an innovative electrode design embedded in SSCFPC specimens. The effect of the number of iterations and the architecture of the neural network is investigated in proposed ADNN models. Simple moving average (SMA), and moving Standard Deviation, are determined and plotted in terms of z-score to assist in performance evaluation of proposed ADNN models.
continue reading here ...
Status: Several Projects Completed
This repo contains all software solutions coded while as a scientific researcher at University of Minho (Portugal) between 2003 and 2009
■ Duracon - Service Life of Reinforced Concrete Structures;
■ ECOBuild;
■ Expert Automation Files:
- Calculation of a mortar compostion;
- Sand Granulometry;
- Geopolimers;
- Faury Method;
- Compressive Strenght;
■ FissurMax;
■ FissurMix;
■ Temperus;
■ Modulus;
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