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

Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

305
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
305
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

167
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
167
Design Example: Automobile Ignition System01:14

Design Example: Automobile Ignition System

315
The automobile's ignition system plays a vital role by ensuring the timely ignition of the fuel-air mixture in each cylinder. This ignition is facilitated by a spark plug, which is composed of two electrodes separated by an air gap. A spark forms across this air gap when a substantial voltage is generated between the electrodes, leading to the ignition of the fuel.
One can generate a large voltage using a car battery of 12 volts with the help of inductors. Inductors are known for opposing...
315
Internal Combustion Engine01:20

Internal Combustion Engine

1.8K
The internal combustion engine is a heat engine that uses the byproducts of combustion as the working fluid instead of using a heat transfer medium to transfer heat. The combustion is done in a way that produces high-pressure combustion products that can be expanded through a turbine or piston to create work. Internal combustion engines can again be categorized into three kinds: (1) spark ignition gasoline engines, most commonly used in automobiles, (2) compression ignition diesel engines that...
1.8K
Work Done in an Adiabatic Process01:20

Work Done in an Adiabatic Process

3.5K
Consider the adiabatic compression of an ideal gas in the cylinder of an automobile diesel engine. The gasoline vapor is injected into the cylinder of an automobile engine when the piston is in its expanded position. The temperature, pressure, and volume of the resulting gas-air mixture are 20 °C, 1.00 x 105 N/m2, and 240 cm3 , respectively. The mixture is then compressed adiabatically to a volume of 40 cm3. Note that, in the actual operation of an automobile engine, the compression is not...
3.5K
Transformers in Distribution System01:27

Transformers in Distribution System

167
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
167

You might also read

Related Articles

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

Sort by
Same author

On the Use of Normalized Compression Distances for Image Similarity Detection.

Entropy (Basel, Switzerland)·2020
Same author

Microscanning in Hadamard spectroscopy.

Applied optics·2017
Same journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026
Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026
Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026
Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026
Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026
Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

Entropy (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Sep 21, 2025

A New Hybrid Quantitative Evaluation Model for Axillary Junctional Hemorrhage in Swine
08:27

A New Hybrid Quantitative Evaluation Model for Axillary Junctional Hemorrhage in Swine

Published on: December 6, 2024

399

A Hybrid Data-Differencing and Compression Algorithm for the Automotive Industry.

Sabin Belu1, Daniela Coltuc1

  • 1Doctoral School of Electronics, Telecommunications and Information Technology, Politehnica University of Bucharest, 061071 Bucharest, Romania.

Entropy (Basel, Switzerland)
|May 28, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces Keops, an innovative delta-differencing algorithm for software updates. Keops combines LZ77 compression with binary differencing, outperforming existing methods in speed and compression ratio for efficient over-the-air updates.

Keywords:
LZ77LZFGLZMALempel–ZivOTA software updateautomotivebig databsdiffdelta encodingvcdiff

More Related Videos

Quantifying Intermembrane Distances with Serial Image Dilations
07:45

Quantifying Intermembrane Distances with Serial Image Dilations

Published on: September 28, 2018

6.5K
Author Spotlight: Advancing Understanding of Age-Related Lens Stiffness Changes
05:19

Author Spotlight: Advancing Understanding of Age-Related Lens Stiffness Changes

Published on: April 5, 2024

2.5K

Related Experiment Videos

Last Updated: Sep 21, 2025

A New Hybrid Quantitative Evaluation Model for Axillary Junctional Hemorrhage in Swine
08:27

A New Hybrid Quantitative Evaluation Model for Axillary Junctional Hemorrhage in Swine

Published on: December 6, 2024

399
Quantifying Intermembrane Distances with Serial Image Dilations
07:45

Quantifying Intermembrane Distances with Serial Image Dilations

Published on: September 28, 2018

6.5K
Author Spotlight: Advancing Understanding of Age-Related Lens Stiffness Changes
05:19

Author Spotlight: Advancing Understanding of Age-Related Lens Stiffness Changes

Published on: April 5, 2024

2.5K

Area of Science:

  • Computer Science
  • Data Compression
  • Software Engineering

Background:

  • Software updates, particularly over-the-air (OTA), require efficient methods for transmitting changes.
  • Binary differencing is crucial for minimizing update sizes, but performance can be a bottleneck.
  • Existing solutions often involve trade-offs between compression ratio and update speed.

Purpose of the Study:

  • To develop and evaluate an innovative delta-differencing algorithm for software updates.
  • To enhance the performance of OTA software updates in terms of speed and compression ratio.
  • To compare the proposed algorithm against existing binary differencing solutions.

Main Methods:

  • The study proposes Keops, a novel algorithm integrating LZ77 data compression with binary differencing techniques.
  • The method focuses on creating pre-compressed binary-differencing streams.
  • Server-side and client-side software strategies for update creation and installation were developed.

Main Results:

  • Keops demonstrated superior performance compared to an LZMA-based binary differencing solution.
  • Achieved over 3% better compression ratio in specific cases.
  • Showed 2-5 times faster decompression speeds.
  • Performance gains increased with larger history buffers, achieving up to three times better delta rates.

Conclusions:

  • The Keops algorithm offers significant improvements in both compression ratio and decompression speed for software updates.
  • It provides a more efficient solution for OTA software updates compared to current methods.
  • The algorithm's effectiveness is enhanced by utilizing larger history buffers in delta creation.