Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Fast Decoupled and DC Powerflow

Fast Decoupled and DC Powerflow

The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:

Cyclic Processes And Isolated Systems

Cyclic Processes And Isolated Systems

A thermodynamic system with zero heat exchange and work is an isolated system. For these systems, the internal energy remains constant.
In the case of a non-isolated system, the change in the internal energy is zero only if the process is cyclic. A thermodynamic process is considered cyclic if the system undergoes a series of changes and returns to its initial state.
Consider a cyclic process that returns to its initial state, undergoing a four-step process. The heat transfer along each...

Multimachine Stability

Multimachine Stability

Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:

Line Protection with Impedance Relays

Line Protection with Impedance Relays

Coordinating time-delay overcurrent relays in complex radial systems and directional overcurrent relays in multi-source transmission loops can be challenging. Impedance relays address these issues by responding to the voltage-to-current ratio, specifically measuring the apparent impedance of a line. These relays become more sensitive during faults as current increases and voltage decreases, thereby reducing the apparent impedance.
Under normal conditions, low load currents keep the measured...

PI Controller: Design

PI Controller: Design

Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...

Power System Distribution

Power System Distribution

Power system distribution involves delivering electrical energy from power plants to consumers through a network of transmission and distribution systems. The process begins at power plants, where energy from coal, gas, nuclear, water, and wind is converted into electrical energy. These plants use three-phase generators, typically rated between 50 to 1300 MVA, with terminal voltages ranging from a few kV to 20 kV, depending on the size and age of the units.
The transmission system is designed...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Federated Learning for Medical Image Classification: A Comprehensive Benchmark.

IEEE journal of biomedical and health informatics·2025

Same author

Novel preparation of pH-responsive hydrogel with chitosan-based microbeads for targeted oral delivery of bevacizumab to enhanced apoptosis in azoxymethane-induced colorectal cancer: cellular and in vivo mice models.

Drug delivery and translational research·2025

Same author

CCT8 drives colorectal cancer progression via the RPL4-MDM2-p53 axis and immune modulation.

BMC medical genomics·2025

Same author

Non-IID Medical Image Segmentation Based on Cascaded Diffusion Model for Diverse Multi-Center Scenarios.

IEEE journal of biomedical and health informatics·2025

Same author

Establishment and Validation of a Pathologic Upgrade Prediction Nomogram Model for Gastric Low-Grade Intraepithelial Neoplasia Patients After the Eradication of <i>Helicobacter pylori</i>.

Cancer control : journal of the Moffitt Cancer Center·2022

Same author

DEMA: a distance-bounded energy-field minimization algorithm to model and layout biomolecular networks with quantitative features.

Bioinformatics (Oxford, England)·2022

Search research articles

Related Experiment Video

Updated: Jan 13, 2026

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Published on: February 3, 2021

MIGS: A Modular Edge Gateway with Instance-Based Isolation for Heterogeneous Industrial IoT Interoperability.

Yan Ai^1,2, Yuesheng Zhu³, Yao Jiang¹

¹Faculty of Data Science, City University of Macau, Macau 999078, China.

Sensors (Basel, Switzerland)

|January 10, 2026

Summary

This summary is machine-generated.

The Modular IoT Gateway System (MIGS) enhances interoperability in industrial IoT by managing diverse communication protocols. This novel architecture ensures flexible, reliable data integration for smart city and automation applications.

Keywords:

IoT gateway edge computing heterogeneous networks industrial IoT (IIoT)multi-protocol interoperability system architecture

More Related Videos

Data Communication Based on MQTT in a Polymer Extrusion Process

Data Communication Based on MQTT in a Polymer Extrusion Process

Published on: July 15, 2022

Fabrication of a Multiplexed Artificial Cellular MicroEnvironment Array

Fabrication of a Multiplexed Artificial Cellular MicroEnvironment Array

Published on: September 7, 2018

Related Experiment Videos

Last Updated: Jan 13, 2026

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Published on: February 3, 2021

Data Communication Based on MQTT in a Polymer Extrusion Process

Data Communication Based on MQTT in a Polymer Extrusion Process

Published on: July 15, 2022

Fabrication of a Multiplexed Artificial Cellular MicroEnvironment Array

Fabrication of a Multiplexed Artificial Cellular MicroEnvironment Array

Published on: September 7, 2018

Area of Science:

Computer Science
Electrical Engineering
Automation Systems

Background:

The rapid expansion of the Internet of Things (IoT) has led to diverse communication protocols, hindering seamless data integration and interoperability.
Conventional IoT gateways often lack flexibility in supporting multiple protocol stacks and user control, creating challenges for industrial automation and smart cities.

Purpose of the Study:

To propose a novel, modular IoT gateway architecture, the Modular IoT Gateway System (MIGS), designed to overcome limitations in current gateway solutions.
To enhance interoperability and data integration within heterogeneous IoT environments through a flexible and controllable gateway system.

Main Methods:

Developed a modular gateway architecture (MIGS) with four components: Management, Southbound, Northbound, and Cache.
Implemented instance-based isolation and independent task threading in the Southbound Component for managing diverse field devices and protocols (Modbus, MQTT, OPC UA).
Integrated a Cache Component for data integrity during network latency and a web-based Control Service Module for runtime management.

Main Results:

Demonstrated concurrent multi-protocol communication capabilities supporting heterogeneous field devices.
Validated robust bidirectional data transmission between field devices and cloud platforms.
Confirmed operational flexibility and scalability for next-generation industrial applications through functional validation and theoretical analysis.

Conclusions:

The MIGS framework significantly improves interoperability in heterogeneous IoT environments.
The proposed architecture offers a scalable and flexible solution for industrial automation and smart city infrastructure.
MIGS effectively addresses challenges related to diverse communication protocols and data integration in IoT systems.