Iot Interoperability
Iot Interoperability - Related Videos
04:04
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
0 Views •
2025
This study employed voice signal analysis and machine learning methods, utilizing MATLAB to extract distinctive voice features for non-invasive early detection of asthma. The Support Vector Machine (SVM) and Random Forest (RF) algorithms demonstrated comparable performance in terms of overall classification accuracy, although SVM may achieve a better balance between sensitivity and specificity.
07:02
Investigating the Potential of Singly Curved Thin Piezoelectric Transducers for Energy Harvesting and Structural Health Monitoring
0 Views •
2025
Here, we experimentally compare singly curved and straight piezoelectric transducers embedded in reinforced concrete structures for energy harvesting and structural health monitoring by evaluating their open-circuit voltage, power generation, power storage, and damage detection capability. Curved transducers have surpassed the straight ones, offering better performance for real-world applications.
08:15
Data Communication Based on MQTT in a Polymer Extrusion Process
0 Views •
Cited by 1 •
2022
This work proposes a flexible method for data communication between a film extrusion system and monitoring devices based on a message protocol called Message Queuing Telemetry Transport (MQTT).
FAQs
Interoperability depends on several layers working together rather than on a single connection. Shared communication protocols govern message exchange, standardized data models give exchanged information consistent meaning, and application programming interfaces expose functions that other software can use. Together, these layers allow systems from different manufacturers to coordinate data handling and operations more reliably.
Gateways help connect systems that cannot exchange messages directly because they use different communication technologies or data formats. By translating messages or formats between systems, a gateway allows otherwise incompatible devices, networks, and applications to participate in a coordinated infrastructure. This makes it possible to integrate existing components without requiring every system to use identical technologies.
Protocols primarily establish how systems exchange messages, while application programming interfaces, or APIs, provide structured ways for software applications to access functions or data. Standardized data models complement both by preserving consistent meaning across exchanges. Separating these roles helps engineers address communication, software access, and data interpretation as related but distinct integration requirements.
Engineers need to align the participating devices, networks, platforms, and applications around compatible protocols, data models, and software interfaces. Where direct compatibility is unavailable, they can include gateways that translate messages or formats. This coordinated approach helps preserve communication and interpretation across system boundaries, supporting integration without requiring every component to come from one manufacturer.
Interoperable systems support scalable monitoring, automation, and control in industrial facilities, buildings, transportation systems, and healthcare environments. Their value comes from coordinating information and functions across connected components rather than isolating each deployment. The same principle allows an organization to expand a connected infrastructure while continuing to use compatible devices, networks, platforms, and applications.
When connected components can exchange and interpret information across manufacturers and technologies, engineers can maintain and expand systems without replacing every existing element. This reduces vendor lock-in and simplifies system integration. The resulting flexibility supports infrastructure growth, while coordinated data handling can improve decision-making and make long-term system changes more manageable.