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

Nursing Clinical Information System01:27

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
Signal and System01:26

Signal and System

A signal x(t) is a set of data or a time function representing a variable of interest. Signals typically convey information about a phenomenon, such as atmospheric temperature, humidity, human voice, television images, a dog's bark, or birdsongs. More generally, a signal can be a function of more than one independent variable. For instance, images depend on horizontal and vertical positions and can be regarded as two-dimensional signals. However, this text will focus on one-dimensional signals...

You might also read

Related Articles

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

Sort by
Same author

Tool, Threat, Tutor, Talk, and Trend: College Students' Attitudes toward ChatGPT.

Behavioral sciences (Basel, Switzerland)·2024
Same author

Integrating Multiculturalism Into Artificial Intelligence-Assisted Programming Lessons: Examining Inter-Ethnicity Differences in Learning Expectancy, Motivation, and Effectiveness.

Frontiers in psychology·2022
Same author

Analysis of Learning Behavior of Human Posture Recognition in Maker Education.

Frontiers in psychology·2022
Same author

The Influence of Affective Feedback Adaptive Learning System on Learning Engagement and Self-Directed Learning.

Frontiers in psychology·2022
Same author

Investigation of the Influence of Artificial Intelligence Markup Language-Based LINE ChatBot in Contextual English Learning.

Frontiers in psychology·2022
Same author

Association between GnRH analogue use and atopic diseases in patients with prostate cancer: A population-based retrospective cohort study.

PloS one·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: May 26, 2026

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

An efficient management system for wireless sensor networks.

Yi-Wei Ma1, Jiann-Liang Chen, Yueh-Min Huang

  • 1Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan. n9897106@mail.ncku.edu.tw

Sensors (Basel, Switzerland)
|December 14, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a novel Wireless Sensor Network Management (WSNManagement) system to enhance sensor node efficiency. The proposed system improves the sensor alive rate, reduces packet loss by 5%, and cuts delay time by 0.2 seconds.

Keywords:
SNMPconfiguration managementfault managementmanagement systemperformance managementwireless sensor network

Related Experiment Videos

Last Updated: May 26, 2026

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

Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless sensor networks (WSNs) are crucial for monitoring applications.
  • Existing management systems face challenges in efficiency and node relationship visualization.
  • Simple Network Management Protocol (SNMP) offers a basis for WSN management.

Purpose of the Study:

  • To propose a novel WSNManagement system for improved network efficiency.
  • To visualize relationships and connections among sensor nodes.
  • To enhance monitoring, data collection, analysis, and system configuration.

Main Methods:

  • Development of a novel WSNManagement system.
  • Integration of performance analysis functions for sensor management.
  • Utilizing collected information for system configuration and node relationship visualization.

Main Results:

  • Enhanced overall sensor node alive rate.
  • Reduced packet lost rate by approximately 5%.
  • Reduced network delay time by approximately 0.2 seconds.

Conclusions:

  • The proposed WSNManagement system is effective for wireless sensor network management.
  • The system offers improved performance metrics compared to existing methods.
  • Visualization of node connections aids in efficient network oversight.