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

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

6.5K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
6.5K
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

1.6K
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
1.6K
Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

771
Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over...
771
Machines01:19

Machines

1.2K
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
1.2K
Brick Cutting Techniques01:08

Brick Cutting Techniques

1.1K
Brick-cutting techniques involve various tools and methods to shape bricks for construction. A mason's hammer with a chisel-pointed end is used for basic shaping through sharp, precise strikes. For more complex shapes requiring higher precision, a power saw with a water-cooled diamond blade is used.
Cut bricks are categorized by size. Bricks cut to half their original length are called half-bats, while those cut to three-fourths their length are known as three-fourth bats.
Special types of...
1.1K
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

1.4K
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the...
1.4K

You might also read

Related Articles

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

Sort by
Same author

An Analytical Model for CBAP Allocations in IEEE 802.11ad.

IEEE transactions on wireless communications·2026
Same author

Daily Consistency Over Timing: Routine Formation and Population-Specific Opportunities in mHealth User Adherence.

Extended abstracts on Human factors in computing systems. CHI Conference·2026
Same author

Integration of Artificial Intelligence and Wearable Devices in Pediatric Clinical Care: A Review.

Bioengineering (Basel, Switzerland)·2025
Same author

Wearable devices detect physiological changes that precede and are associated with symptomatic and inflammatory rheumatoid arthritis flares.

Scientific reports·2025
Same author

Wearable Devices Detect Physiological Changes that Precede and Are Associated with Symptomatic and Inflammatory Rheumatoid Arthritis Flares.

medRxiv : the preprint server for health sciences·2025
Same author

Wearable Devices Identify Altered Sleep Characteristics and Sleep Trajectories in Active Inflammatory Bowel Disease.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association·2025

Related Experiment Video

Updated: May 3, 2026

Data Communication Based on MQTT in a Polymer Extrusion Process
08:15

Data Communication Based on MQTT in a Polymer Extrusion Process

Published on: July 15, 2022

3.0K

RAZOR: a compression and classification solution for the Internet of Things.

Matteo Danieletto1, Nicola Bui2, Michele Zorzi3

  • 1Department of Information Engineering (DEI), University of Padova, Via Gradenigo, n.6b, 35131 Padova, Italy. matteo.danieletto@dei.unipd.it.

Sensors (Basel, Switzerland)
|January 24, 2014
PubMed
Summary

The novel RAZOR algorithm compresses and classifies data streams from the Internet of Things (IoT). It uses motifs for significant data reduction, enabling efficient communication and classification on constrained devices.

Related Experiment Videos

Last Updated: May 3, 2026

Data Communication Based on MQTT in a Polymer Extrusion Process
08:15

Data Communication Based on MQTT in a Polymer Extrusion Process

Published on: July 15, 2022

3.0K

Area of Science:

  • Computer Science
  • Data Science
  • Network Engineering

Background:

  • The Internet of Things (IoT) generates vast, diverse datasets, increasing network management and transmission costs.
  • Current data management strategies struggle with the scale and complexity of IoT data.
  • Efficiently handling data is crucial for the growth and functionality of IoT ecosystems.

Purpose of the Study:

  • To introduce RAZOR, a lightweight algorithm for data compression and classification in IoT networks.
  • To reduce the burden of information management and transmission costs associated with massive IoT data.
  • To enable efficient data processing and classification on resource-constrained IoT devices.

Main Methods:

  • RAZOR employs data mining techniques, specifically leveraging the concept of motifs for signal categorization.
  • Motifs are recurrent features identified within data streams to achieve high compression ratios.
  • The algorithm is designed for low computational complexity, facilitating implementation on embedded systems.

Main Results:

  • RAZOR achieves data compression levels up to an order of magnitude.
  • Signal distortion is maintained within acceptable limits during compression.
  • The algorithm supports simple, lightweight, distributed classification of compressed data streams.
  • Performance comparisons against state-of-the-art signal processing techniques are provided.

Conclusions:

  • RAZOR offers an effective solution for managing the data explosion in the Internet of Things.
  • The algorithm's efficiency and low complexity make it suitable for constrained IoT devices.
  • RAZOR optimizes communications and simplifies data classification, addressing key IoT challenges.