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

Information Processing Approach01:30

Information Processing Approach

596
The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
596
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

250
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
250
Wave Parameters01:10

Wave Parameters

9.4K
The simplest mechanical waves are associated with simple harmonic motion and repeat themselves for several cycles. These simple harmonic waves can be modeled using a combination of sine and cosine functions. Consider a simplified surface water wave that moves across the water's surface. Unlike complex ocean waves, in surface water waves, water moves vertically, oscillating up and down, whereas the disturbance of the wave moves horizontally through the medium. If a seagull is floating on the...
9.4K
pre-mRNA Processing02:01

pre-mRNA Processing

57.6K
In eukaryotic cells, transcripts made by RNA polymerase are modified and processed before exiting the nucleus. Unprocessed RNA is called precursor mRNA or pre-mRNA to distinguish it from mature mRNA.
Once about 20-40 ribonucleotides have been joined together by RNA polymerase, a group of enzymes adds a “cap” to the 5’ end of the growing transcript. In this process, a 5’ phosphate is replaced by modified guanosine that has a methyl group attached to it (7-Methyl...
57.6K
Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

5.2K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
5.2K
Frustration and Conflict: Approach-Approach, Approach-Avoidance01:20

Frustration and Conflict: Approach-Approach, Approach-Avoidance

544
Frustration occurs when people are obstructed or prevented from achieving a desired goal or fulfilling a perceived need. For example, when someone's input is ignored in a discussion, it can lead to feelings of frustration. Conflict, however, arises from opposing interests, goals, or actions. Conflicts can take various forms based on the nature of these opposing desires or goals.
One common type of conflict is the Approach–Approach Conflict. In this case, a person faces two desirable...
544

You might also read

Related Articles

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

Sort by
Same author

Nature-Inspired Multi-Level Thresholding Integrated with CNN for Accurate COVID-19 and Lung Disease Classification in Chest X-Ray Images.

Diagnostics (Basel, Switzerland)·2025
Same author

Refining COVID-19 Lesion Segmentation in Lung CT Scans Using Swarm Intelligence and Evolutionary Algorithms.

The international journal of medical robotics + computer assisted surgery : MRCAS·2025
Same author

Automated brain tumour segmentation from multi-modality magnetic resonance imaging data based on new particle swarm optimisation segmentation method.

The international journal of medical robotics + computer assisted surgery : MRCAS·2022
Same author

A sophisticated and provably grayscale image watermarking system using DWT-SVD domain.

The Visual computer·2022
Same author

An Improved 3D Deep Learning-Based Segmentation of Left Ventricular Myocardial Diseases from Delayed-Enhancement MRI with Inclusion and Classification Prior Information U-Net (ICPIU-Net).

Sensors (Basel, Switzerland)·2022
Same author

Model Predictive Control with Integrated Model Reduction for a Continuous Lactide Ring-Opening Polymerization Process.

ACS omega·2022

Related Experiment Video

Updated: Feb 11, 2026

The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides
08:37

The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides

Published on: November 2, 2021

2.6K

Cuckoo Search Approach for Parameter Identification of an Activated Sludge Process.

Intissar Khoja1, Taoufik Ladhari1, Faouzi M'sahli1

  • 1Industrial Systems Study and Renewable Energy Unit, National Engineering School of Monastir, University of Monastir, Ibn El Jazzar Street, Skanes, 5019 Monastir, Tunisia.

Computational Intelligence and Neuroscience
|April 20, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces the Cuckoo Search Algorithm for optimizing wastewater treatment models. The metaheuristic method effectively identifies parameters in activated sludge processes, outperforming traditional algorithms.

More Related Videos

Measuring the Shape and Size of Activated Sludge Particles Immobilized in Agar with an Open Source Software Pipeline
09:27

Measuring the Shape and Size of Activated Sludge Particles Immobilized in Agar with an Open Source Software Pipeline

Published on: January 30, 2019

7.5K
Development of Sulfidogenic Sludge from Marine Sediments and Trichloroethylene Reduction in an Upflow Anaerobic Sludge Blanket Reactor
15:19

Development of Sulfidogenic Sludge from Marine Sediments and Trichloroethylene Reduction in an Upflow Anaerobic Sludge Blanket Reactor

Published on: October 15, 2015

10.2K

Related Experiment Videos

Last Updated: Feb 11, 2026

The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides
08:37

The Application of Open Searching-based Approaches for the Identification of Acinetobacter baumannii O-linked Glycopeptides

Published on: November 2, 2021

2.6K
Measuring the Shape and Size of Activated Sludge Particles Immobilized in Agar with an Open Source Software Pipeline
09:27

Measuring the Shape and Size of Activated Sludge Particles Immobilized in Agar with an Open Source Software Pipeline

Published on: January 30, 2019

7.5K
Development of Sulfidogenic Sludge from Marine Sediments and Trichloroethylene Reduction in an Upflow Anaerobic Sludge Blanket Reactor
15:19

Development of Sulfidogenic Sludge from Marine Sediments and Trichloroethylene Reduction in an Upflow Anaerobic Sludge Blanket Reactor

Published on: October 15, 2015

10.2K

Area of Science:

  • Environmental Engineering
  • Computational Biology
  • Optimization Algorithms

Background:

  • Activated sludge processes are crucial for wastewater treatment.
  • Accurate parameter identification is essential for optimizing these biological systems.
  • Hybrid models offer a framework for simulating complex wastewater treatment operations.

Purpose of the Study:

  • To address the parameter identification problem in a hybrid model for activated sludge processes.
  • To evaluate the Cuckoo Search Algorithm (CSA) as a novel metaheuristic approach for this optimization task.
  • To compare the performance of CSA against established optimization methods.

Main Methods:

  • The study frames parameter identification as an optimization problem, minimizing simulation-experimental data error.
  • The Cuckoo Search Algorithm, inspired by cuckoo nesting behavior, is employed.
  • Simulation results are benchmarked against the Nelder-Mead algorithm, Genetic Algorithm, and Particle Swarm Optimization.

Main Results:

  • The Cuckoo Search Algorithm demonstrates effectiveness and efficiency in parameter identification for the activated sludge hybrid model.
  • Comparative analysis indicates competitive or superior performance of CSA over classical and other intelligent optimization methods.
  • The study validates CSA as a viable tool for complex environmental engineering optimization problems.

Conclusions:

  • The Cuckoo Search Algorithm is a promising metaheuristic for parameter identification in wastewater treatment simulations.
  • CSA offers an efficient and effective alternative to existing methods for optimizing activated sludge process models.
  • Accurate parameter identification using CSA can lead to improved wastewater treatment plant performance.