Open Science Research Projects >> Main
Last update 01-06-2024
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)
Vist my open science showcase page on Linkedin
View a List of laboratory test procedures on the WIKI of this page. Link on the menu above and here.
38 peer review records of 33 manuscripts
[ Web of Science ID: AAZ-9463-2021 ] [ ORCID ID 0000-0002-5910-5179 ] [ Scopus ID 57197610949 ]
2024
■ 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 I made .....
6 documents published in international journals
[ Web of Science ID: AAZ-9463-2021 ] [ ORCID ID 0000-0002-5910-5179 ] [ Scopus ID 57197610949 ]
Click here to view a list of ongoing scientific communications ( "paper") here on Github, Miguel Tomas is currently working on. To read my ongoing scientific writing published at Elsevier's SSRN, click here.
To read any of my published scientific works in international journals to this date click here.
To View my open experimental data repository on Harvard's dataverse cloud server, click here.
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.
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 next month July 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 next month May 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;
Get a Notification on every PCB update
 |
You can fill in your email here (Google form) and I'll send a reminder when a new PCB prototype is made available here or a new revision for an existing PCB. Stay tuned! |
|---|
You can get in touch with me on my LinkedIn Profile:
You can also follow my GitHub Profile to stay updated about my latest projects:
The PCB design Files I provide here for anyone to use are free. If you like this Smart Device or use it, please consider buying me a cup of coffee, a slice of pizza or a book to help me study, eat and think new PCB design files.
Make a donation on PayPal and get a TAX refund*.
Did you like any of my PCB KiCad Designs? Help and Support my open work to all by becoming a GitHub sponsor.
Before proceeding to download any of AeonLabs software solutions for open-source development and/or PCB hardware electronics development make sure you are choosing the right license for your project. See AeonLabs Solutions for Open Hardware & Source Development for more information.