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

Protein Networks02:26

Protein Networks

4.5K
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,...
4.5K
Self-Awareness and Its Effects01:21

Self-Awareness and Its Effects

287
Self-awareness is a psychological state in which the individual becomes the focal point of their attention. This inward focus transforms the self into an object of contemplation and assessment, influencing how individuals perceive their actions and their alignment with personal and societal standards.Triggers and Contexts for Self-AwarenessSelf-awareness can be activated by external stimuli that make individuals visually or audibly aware of themselves, such as mirrors, cameras, or recordings.
287
Altered States of Awareness01:06

Altered States of Awareness

1.0K
Altered states of consciousness represent significant deviations from one's normal mental state. These deviations can range from subtle changes in awareness to profound transformations in perception, thought processes, and sensory experiences. Altered states of consciousness can be triggered by various factors, including drug use, meditation, hypnosis, illness, or even intense fatigue.
The ingestion of substances like stimulants or hallucinogens leads to chemical alterations in the brain...
1.0K
Subconsciousness and No Awareness01:15

Subconsciousness and No Awareness

668
The concept of subconscious awareness refers to the processing of information below the level of conscious thought, which significantly influences both behaviors and decisions. It is also known as waking subconscious awareness. This complex level of cognition operates without the direct awareness of the individual, facilitating rapid and simultaneous handling of multiple information streams.
An illustrative example of subconscious processing is its role in problem-solving. Often, individuals...
668
Introduction to Membrane Traffic01:44

Introduction to Membrane Traffic

9.3K
The ER, Golgi apparatus, endosomes, and lysosomes work in tandem to modify, sort, and package proteins and lipids. An integrated membrane trafficking network facilitates the back and forth shuttling of molecules within different organelles in the same cell or across the cell membrane.
The transport of soluble and membrane proteins is mediated by transport vesicles that collect cargo from one cellular compartment and deliver it to another by fusing with the target organelle membrane. The Rab...
9.3K
High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

631
Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
631

You might also read

Related Articles

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

Sort by
Same author

A scalable multimodal graph neural network for drug combination response prediction.

Molecular diversity·2026
Same author

PSMEKL: Positional and structural multiple empirical kernel learning for node embedding.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Heterogeneous Mutual Knowledge Distillation for Wearable Human Activity Recognition.

IEEE transactions on neural networks and learning systems·2025
Same author

MGATAF: multi-channel graph attention network with adaptive fusion for cancer-drug response prediction.

BMC bioinformatics·2025
Same author

CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition.

IEEE transactions on neural networks and learning systems·2023
Same author

Emerging technologies for COVID (ET-CoV) detection and diagnosis: Recent advancements, applications, challenges, and future perspectives.

Biomedical signal processing and control·2023
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: Jan 20, 2026

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.5K

Bandwidth-Aware Traffic Sensing in Vehicular Networks with Mobile Edge Computing.

Kong Ye1, Penglin Dai2, Xiao Wu1

  • 1School of Information Science and Technology, Southwest Jiaotong University, Chengdu 611756, China.

Sensors (Basel, Switzerland)
|August 17, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a new system for traffic sensing in vehicular networks using mobile edge computing (MEC). It minimizes estimation errors and communication costs for safer, more efficient traffic management.

Keywords:
bandwidth-awaremobile edge computingtraffic sensingtraffic state estimationvehicular networks

More Related Videos

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.8K
Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments
08:40

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments

Published on: January 20, 2022

4.8K

Related Experiment Videos

Last Updated: Jan 20, 2026

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.5K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.8K
Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments
08:40

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments

Published on: January 20, 2022

4.8K

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Transportation Systems

Background:

  • Vehicular networks face challenges in traffic sensing due to limited bandwidth and dynamic mobility, leading to high estimation errors and communication costs.
  • Existing traffic sensing methods struggle with missing data and inefficient data transmission between vehicles and central servers.

Purpose of the Study:

  • To investigate a traffic sensing system utilizing mobile edge computing (MEC) to address estimation errors and communication costs in vehicular networks.
  • To formulate and solve the bandwidth-constrained traffic sensing (BCTS) problem, aiming to minimize estimation error.

Main Methods:

  • Proposed a bandwidth-aware data collection (BDC) algorithm to optimize traffic data selection based on road segment priority.
  • Developed a convex-based data recovery (CDR) algorithm to minimize estimation error by converting the BCTS problem into an l2-norm minimization problem.
  • Implemented a simulation model for performance evaluation.

Main Results:

  • The proposed BDC algorithm effectively selects optimal traffic data under bandwidth constraints.
  • The CDR algorithm successfully minimizes estimation error in traffic sensing.
  • Simulation results demonstrate the superiority of the proposed algorithms compared to existing methods.

Conclusions:

  • The integrated MEC-based traffic sensing system significantly reduces estimation error and communication costs.
  • The developed algorithms (BDC and CDR) offer an effective solution for bandwidth-constrained traffic sensing in vehicular networks.
  • The findings pave the way for safer and more efficient intelligent transportation systems.