Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Real Time RT-PCR02:57

Real Time RT-PCR

65.3K
Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
The real-time quantification of the number of amplified products is...
65.3K
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

408
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
408
Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

436
Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
436
Molecular Shape and Polarity03:37

Molecular Shape and Polarity

75.9K
Dipole Moment of a Molecule
75.9K
Network Covalent Solids02:18

Network Covalent Solids

16.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K

You might also read

Related Articles

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

Sort by
Same author

<i>Teamwork without talking:</i> distributed system estimates maintain approximately centralized control of smart urban drainage systems during communications outages.

Water research X·2024
Same author

Tunable linear feedback control of urban drainage systems using models defined purely from data.

Water science and technology : a journal of the International Association on Water Pollution Research·2024
Same author

Toward the autonomous flushing of building plumbing: Characterizing oxidation-reduction potential and temperature sensor dynamics.

Water research·2024
Same author

Machine Learning-Assisted, Process-Based Quality Control for Detecting Compromised Environmental Sensors.

Environmental science & technology·2023
Same author

An Automated Toolchain for Camera-Enabled Sensing of Drinking Water Chlorine Residual.

ACS ES&T engineering·2022
Same author

Stationary and portable multipollutant monitors for high-spatiotemporal-resolution air quality studies including online calibration.

Atmospheric measurement techniques·2022
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Feb 7, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

1.1K

Shaping Streamflow Using a Real-Time Stormwater Control Network.

Abhiram Mullapudi1, Matthew Bartos2, Brandon Wong3

  • 1Department of Civil & Environmental Engineering, University of Michigan; Ann Arbor, MI 48109, USA. abhiramm@umich.edu.

Sensors (Basel, Switzerland)
|July 18, 2018
PubMed
Summary
This summary is machine-generated.

Smart water systems can now control entire urban watersheds. This study demonstrates coordinating stormwater releases to stabilize streamflow, reduce erosion, and minimize pollutant runoff into water bodies.

Keywords:
real time controlsmart citiessmart water systemsstormwaterwireless sensor networks

More Related Videos

Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes
10:10

Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes

Published on: October 4, 2018

9.4K
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

5.2K

Related Experiment Videos

Last Updated: Feb 7, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

1.1K
Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes
10:10

Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes

Published on: October 4, 2018

9.4K
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

5.2K

Area of Science:

  • Environmental Engineering
  • Water Resource Management
  • Urban Hydrology

Background:

  • Smart water systems offer real-time monitoring and control of stormwater infrastructure.
  • System-scale control of urban watersheds using these technologies is not well understood.

Purpose of the Study:

  • To investigate the potential of a real-world smart stormwater system for watershed-scale streamflow control.
  • To demonstrate coordinated releases from internet-controlled stormwater basins for specific downstream objectives.

Main Methods:

  • Construction of a control network using open-source hardware and cloud-based scheduling.
  • Characterization of system control capabilities, including wave travel and decay times.
  • Implementation of control strategies to generate a set-point hydrograph and interleaved waves.

Main Results:

  • The study successfully coordinated releases from two stormwater basins to manipulate downstream flow.
  • Demonstrated the ability to maintain a constant flow rate (set-point hydrograph).
  • Generated overlapping and interleaved waves through timed releases, showcasing dynamic control.

Conclusions:

  • Smart stormwater systems can be effectively leveraged for system-scale watershed management.
  • Demonstrated control strategies can stabilize streamflow, mitigating erosion and reducing contaminant loads.
  • Highlights the potential for active management of urban water systems to improve water quality and infrastructure resilience.