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

Computed Tomography01:10

Computed Tomography

8.1K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
8.1K
Design Example: Traverse Angle Computations01:25

Design Example: Traverse Angle Computations

311
Traverse angle computations are a critical component of surveying, used to compute the internal angles within a closed traverse. A traverse consists of a series of connected lines forming a closed loop, often used for land boundary delineation or mapping. Calculating the internal angles ensures accuracy in the traverse geometry and is essential for checking survey data integrity.The process begins with known azimuths and bearings of the traverse sides. Internal angles at each vertex are...
311
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

295
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
295
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

571
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
571
The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

3.7K
A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
3.7K
Social Proof00:52

Social Proof

31.5K
Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
31.5K

You might also read

Related Articles

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

Sort by
Same author

Literature Review of Deep-Learning-Based Detection of Violence in Video.

Sensors (Basel, Switzerland)·2024
Same author

Digital Twin Platform for Water Treatment Plants Using Microservices Architecture.

Sensors (Basel, Switzerland)·2024
Same author

An overview of machine learning and deep learning techniques for predicting epileptic seizures.

Journal of integrative bioinformatics·2023
Same author

Deep Q-Learning and Preference Based Multi-Agent System for Sustainable Agricultural Market.

Sensors (Basel, Switzerland)·2021
Same author

Deepint.net: A Rapid Deployment Platform for Smart Territories.

Sensors (Basel, Switzerland)·2021
Same author

Developing an Interactive Environment Through the Teaching of Mathematics with Small Robots.

Sensors (Basel, Switzerland)·2020

Related Experiment Video

Updated: Jan 21, 2026

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics
10:23

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics

Published on: December 1, 2023

986

Edge Computing, IoT and Social Computing in Smart Energy Scenarios.

Inés Sittón-Candanedo1, Ricardo S Alonso2, Óscar García2

  • 1BISITE Research Group, University of Salamanca, Edificio Multiusos I+D+i, Calle Espejo 2, 37007 Salamanca, Spain. isittonc@usal.es.

Sensors (Basel, Switzerland)
|August 3, 2019
PubMed
Summary

This study introduces an Edge-IoT platform with Social Computing for smart energy efficiency in public buildings. The approach reduces data transfer and lowers cloud computing costs, enhancing system performance.

Keywords:
distributed ledger technologiesedge computinginternet of thingssmart energysocial computing

More Related Videos

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.7K
Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids
08:21

Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids

Published on: April 13, 2022

3.0K

Related Experiment Videos

Last Updated: Jan 21, 2026

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics
10:23

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics

Published on: December 1, 2023

986
Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.7K
Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids
08:21

Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids

Published on: April 13, 2022

3.0K

Area of Science:

  • Computer Science
  • Energy Systems
  • Smart Buildings

Background:

  • The Internet of Things (IoT) connects everyday objects for data capture and adaptation.
  • Implementing IoT presents challenges, necessitating technologies like Edge Computing (EC) for efficient, real-time data processing.
  • Energy efficiency is a key IoT application, generating vast data from smart devices.

Purpose of the Study:

  • To propose and evaluate an Edge-IoT platform integrated with a Social Computing framework for smart energy efficiency in public buildings.
  • To demonstrate the benefits of Edge Computing in managing large data volumes for energy consumption monitoring.

Main Methods:

  • Development of an Edge-IoT platform combined with a Social Computing framework.
  • Deployment and evaluation of the system in a real-world public building scenario.
  • Analysis of data transfer, cloud resource utilization, and overall system performance.

Main Results:

  • The implemented system demonstrated significant improvements in energy efficiency scenarios.
  • Edge Computing integration led to reduced data transfer from IoT devices to the cloud.
  • Noticeable reductions in cloud computing and network resource costs were achieved.

Conclusions:

  • The proposed Edge-IoT and Social Computing system effectively enhances smart energy efficiency in public buildings.
  • Edge Computing is crucial for optimizing data processing and reducing operational costs in IoT applications.
  • The framework provides a scalable and cost-effective solution for smart building management.