IoT Lab - TEC

We proudly congratulate Daniel H. Solano Teran, IoT Lab PhD candidate, on his second publication as first author. His research, "ASSURED assessment of droplet-based microfluidics: a benchmark for its future development", was published by Springer Nature in (Nov. 2024). This Q2 journal, indexed in WoS/Scopus with a CiteScore of 5.2, integrates academic and industrial expertise in design, materials, and manufacturing of microsystems and their components, advancing the economically viable production of reliable, high-performance, and eco-friendly . Congratulations, Daniel!

We thankfully acknowledge the support of and / for the doctoral scholarship granted to DHST.

ASSURED assessment of droplet-based microfluidics: a benchmark for its future development - Microsystem Technologies Over the past 30 years, microfluidic systems have enabled new designs and scaled-down devices, such as point-of-care devices for first-line healthcare and lab-on-a-chip systems. The main advantages of microfluidic technology are miniaturization, which provides low operating energy, increased portabi...

🚚📦 In the world of IoT-based supply chain transportation, reducing data loss, optimizing travel time, and improving energy efficiency are crucial challenges. These factors can be impacted by variables like data volume, logging processes, and communication issues during transit.

A new study introduces an adaptive data logging algorithm designed to address these challenges using a cost-effective IoT node. This innovation enables real-time data collection and remote display through a web interface, enhancing monitoring capabilities in dynamic environments.

🔬 Key findings:
Data loss indoors: 5.24%
Data loss outdoors: 55.34%, increasing to 82.76% via the web interface
Data volume reduction by 74%, lowering processing and power needs

The prototype was tested in both controlled and outdoor environments, focusing on environmental and GPS data collection. Despite some data loss, the results validate the prototype and show promise for future development of advanced IoT models in transportation systems.

By integrating IoT technology, the team hopes to improve travel time predictions, vehicle speed monitoring, and overall supply chain efficiency. 🌍✨
This research lays the groundwork for future innovations and opens doors for more efficient, tech-driven supply chain solutions. 🚀

➡️ If you wanna read more about it, take a look at the full article: https://latamt.ieeer9.org/index.php/transactions/article/view/8815

ℹ Latam Transactions, October Issue (2024)