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

Maximum Size of Aggregate01:12

Maximum Size of Aggregate

256
The maximum size of aggregate is defined as the aperture of the sieve retaining 15 percent or more of the particles present in the aggregate sample. The aggregate's maximum size impacts the concrete's water requirement, workability, and strength. Larger aggregates reduce the surface area needing cement paste coverage, which can lower water needs, thereby allowing a decrease in the water-to-cement ratio when the desired workability and richness of the mix are to be maintained, which can...
256
Unsoundness of Aggregate due to Volume Change01:26

Unsoundness of Aggregate due to Volume Change

208
Unsoundness in aggregates due to volume changes is primarily caused by the physical alterations aggregates undergo, such as freezing and thawing, thermal changes, and wetting and drying. Unsound aggregates, when subjected to these changes, result in volume change upon disintegration. This, in turn, contributes to the deterioration of concrete, including scaling, pop-outs, and cracking. Particular types of aggregates, such as porous flints, cherts, and those containing clay minerals, are...
208
Porosity and Absorption of Aggregate01:20

Porosity and Absorption of Aggregate

445
Aggregates contain pores of varying sizes; while some are completely enclosed within the particles, others open onto the surface, allowing water to penetrate. The porosity of aggregates is a major factor contributing to the overall porosity of concrete, given that aggregates constitute about three-quarters of concrete's volume.
When all pores in an aggregate are filled with water, the aggregate is considered saturated and surface-dry. If left in dry air, water will evaporate until the...
445
Moisture Content and Bulking of Aggregate01:10

Moisture Content and Bulking of Aggregate

239
The moisture content of aggregates is a crucial factor in construction, particularly in concrete mixing, as it influences the total water required in the mix. Moisture content represents the water coated on the exterior surface of the aggregate existing in a saturated and surface-dry condition. The total water content of a moist aggregate is the sum of its moisture content and water absorption.
When aggregates are exposed to rain or sit in stockpiles, they absorb moisture, which must be...
239

You might also read

Related Articles

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

Sort by
Same author

A Reliable and Secure Cluster-Routing Framework for Drone-Assisted Disaster Management in Smart Cities.

Sensors (Basel, Switzerland)·2026
Same author

Size- and lifetime-aware disjoint dominating set formation and multi-armed-bandit-based scheduling for energy-efficient IoT-WSNs in sustainable smart city applications.

Scientific reports·2026
Same author

Role of myositis autoantibodies in diagnosing interstitial lung disease in patients with idiopathic inflammatory myopathies: a retrospective analysis.

Expert review of respiratory medicine·2026
Same author

Molecular sequencing and phenotyping study of chemokines CCL2, CCL5, and CXCL10 in patients with neuroinflammation multiple sclerosis.

Folia neuropathologica·2025
Same author

Physician Preparedness for Managing Juvenile Obesity in the MENA Region: A Cross-Sectional Analysis of Perceptions, Knowledge, Practices, and Barriers.

Pediatric cardiology·2025
Same author

Pattern reconfigurable quasi Yagi antenna with Origami inspired magic spiral cubes for dynamic indoor IoT applications.

Scientific reports·2025

Related Experiment Video

Updated: Oct 9, 2025

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

726

Compressive sensing based secure data aggregation scheme for IoT based WSN applications.

Ahmed Salim1,2, Ahmed Ismail3,4, Walid Osamy5,3

  • 1Dept. of Computer Science, College of Science and Arts, Al-methnab, Qassim University, Buridah, Al-mithnab, KSA.

Plos One
|December 16, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel security scheme combining Compressive Sensing (CS) and Elliptic Curve Cryptography (ECC) to enhance data security and efficiency in Internet of Things (IoT) wireless sensor networks (WSNs). The proposed method addresses key distribution challenges and improves network lifetime.

More Related Videos

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

3.6K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.9K

Related Experiment Videos

Last Updated: Oct 9, 2025

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

726
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

3.6K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.9K

Area of Science:

  • Computer Science
  • Network Security
  • Cryptography

Background:

  • Compressive Sensing (CS) enhances data collection in IoT Wireless Sensor Networks (WSNs) but struggles with key distribution and security against attacks.
  • Existing CS schemes lack robust security, compromising data integrity in complex network environments.

Purpose of the Study:

  • To propose a novel security scheme integrating Compressive Sensing (CS) and Elliptic Curve Cryptography (ECC) for enhanced security and efficiency in IoT-based WSNs.
  • To address key distribution challenges and improve the resilience of CS-based data collection against adversary attacks.

Main Methods:

  • A five-phase scheme: Key Generation, CS-Key Exchange, Data Compression with CS Encryption, Data Aggregation and ECC Encryption, and CS Key Re-generation.
  • Utilizes ECC for public-key cryptography and CS for encryption and data compression, optimizing energy efficiency in cluster-based WSNs.
  • Introduces a new secure key sharing method for pseudo-random keys between the Base Station (BS) and nodes, and a novel defense against CS scheme attacks.

Main Results:

  • The proposed scheme effectively enhances data security and collection performance in IoT-based WSNs.
  • Demonstrates improved energy efficiency and extended network lifetime through simulation analysis.
  • Successfully resolves the CS-Encryption key distribution problem and safeguards against security threats.

Conclusions:

  • The amalgamation of CS and ECC provides a robust and energy-efficient security solution for IoT-based WSNs.
  • The novel key sharing and attack safeguarding methods significantly improve the overall security posture.
  • Simulation results validate the proposed technique's effectiveness in enhancing security, reducing energy consumption, and prolonging network lifespan.