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

Linear time-invariant Systems01:23

Linear time-invariant Systems

375
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
375
Optimal Foraging00:48

Optimal Foraging

12.4K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
12.4K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

7.3K
The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
7.3K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

703
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
703
Optimal Arousal Theory01:23

Optimal Arousal Theory

277
The optimal arousal theory suggests that performance is maximized when an individual experiences a moderate level of arousal. This theory is closely tied to the Yerkes-Dodson law, which illustrates an inverted U-shaped relationship between arousal and performance. The law, formulated by psychologists Robert Yerkes and John Dodson, implies an ideal arousal level for optimal performance, and deviations from this level can lead to declines in effectiveness.
Inverted U-Shaped Performance Curve
The...
277
Parallel Processing01:20

Parallel Processing

215
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
215

You might also read

Related Articles

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

Sort by
Same author

Cu(I) and Cu(II) binding by hyperactive variants of the human CTR1 N-terminus: Insights from cellular and model peptide studies.

Journal of inorganic biochemistry·2026
Same author

Nutrigenomic profiling identifies ZIP10 (<i>SLC39A10</i>) as a regulator of erythroid zinc homeostasis with genetic associations to anemia risk.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Correction: Kim et al. Cellular Zinc Deficiency Impairs Heme Biosynthesis in Developing Erythroid Progenitors. <i>Nutrients</i> 2023, <i>15</i>, 281.

Nutrients·2025
Same author

Endothelial Cu Uptake Transporter CTR1 Senses Disturbed Flow to Promote Atherosclerosis through Cuproptosis.

bioRxiv : the preprint server for biology·2025
Same author

Impact of log parsing on deep learning-based anomaly detection.

Empirical software engineering·2024
Same author

Cellular Zinc Deficiency Impairs Heme Biosynthesis in Developing Erythroid Progenitors.

Nutrients·2023
Same journal

How students use generative AI for software testing: An observational study.

Empirical software engineering·2026
Same journal

Is common sense all you need? Using expert defined rules to identify vulnerability patches instead of machine learning.

Empirical software engineering·2026
Same journal

Less is more: usefulness of data flow diagrams and large language models for security threat validation.

Empirical software engineering·2026
Same journal

SecMLOps: A comprehensive framework for integrating security throughout the machine learning operations lifecycle.

Empirical software engineering·2026
Same journal

Tools and benchmarks evolve: what is their impact on parameter tuning in SBSE experiments?

Empirical software engineering·2025
Same journal

AI support for data scientists: An empirical study on workflow and alternative code recommendations.

Empirical software engineering·2025
See all related articles

Related Experiment Video

Updated: Sep 2, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K

Optimal priority assignment for real-time systems: a coevolution-based approach.

Jaekwon Lee1,2, Seung Yeob Shin1, Shiva Nejati1,2

  • 1SnT, University of Luxembourg, Kirchberg, Luxembourg.

Empirical Software Engineering
|August 11, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces an automated method for assigning task priorities in real-time systems. The approach optimizes task scheduling, enhancing system safety margins and reliability.

Keywords:
Coevolutionary searchPriority assignmentReal-time systemsSchedulability analysisSearch-based software engineering

More Related Videos

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

649
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

4.6K

Related Experiment Videos

Last Updated: Sep 2, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

649
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

4.6K

Area of Science:

  • Computer Science
  • Real-Time Systems Engineering

Background:

  • Task priorities dictate execution order in real-time systems, impacting deadline adherence.
  • Optimal priority assignment is crucial for system safety margins and handling execution overheads.
  • Current priority assignment relies on manual, interactive processes between development and testing teams.

Purpose of the Study:

  • To propose an automated method for optimal task priority assignment in real-time systems.
  • To account for multiple objectives, including safety margins and engineering constraints.
  • To mimic the interactive process of priority assignment using an evolutionary algorithm.

Main Methods:

  • A multi-objective, competitive coevolutionary algorithm was developed.
  • The algorithm mimics the human interaction in priority assignment.
  • The method was evaluated on six industrial and several synthetic systems.

Main Results:

  • The automated method significantly outperformed random search, sequential search, and practitioner-defined solutions.
  • The approach demonstrated scalability for complex industrial systems.
  • Near-optimal solutions were found within 16 hours.

Conclusions:

  • The proposed automated method effectively identifies optimal task priorities in real-time systems.
  • This approach enhances system reliability and safety margins.
  • The coevolutionary algorithm provides a viable alternative to manual priority assignment processes.