Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Moisture Content and Bulking of Aggregate

Moisture Content and Bulking of Aggregate

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...

You might also read

Related Articles

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

Sort by

Same author

Dietary supplementation with walnut (<i>Juglans regia</i> L.) green husk polyphenol extract mitigates fatty liver hemorrhagic syndrome in laying hens.

Frontiers in veterinary science·2026

Same author

Multidisciplinary team care and outcomes in FNCLCC grade 3 soft tissue sarcoma: a propensity score-matched and weighted cohort study.

Frontiers in oncology·2026

Same author

Volume Alterations in Thalamic Subnuclei in Parkinson's Disease Dementia and Machine Learning-Based Prediction of Diagnosis and Severity.

Brain and behavior·2026

Same author

Wearable ultrasound: a review of core technologies and clinical applications in cardiovascular monitoring.

Microsystems & nanoengineering·2026

Same author

Letter to the Editor regarding "Questionable indication for postoperative radiotherapy after surgery for metastases of the major long bones": A cautionary note on methodology and analysis.

Journal of bone oncology·2026

Same author

Correlation between electrode location and clinical efficacy of deep brain stimulation of the globus pallidus internus in isolated generalized dystonia.

Frontiers in neurology·2026

Same journal

The Potential for Bioactive Peptide Production in a Fermented Dairy Beverage Based on Chickpea Water Extract Using Proteolytic Lactic Acid Bacteria.

Foods (Basel, Switzerland)·2026

Same journal

Influence of Protein Concentration on Heat-Induced Fouling of Oat Drink.

Foods (Basel, Switzerland)·2026

Same journal

Microalgae as Future Foods: Unlocking Their Potential and Overcoming Barriers to Market Adoption and Commercialization.

Foods (Basel, Switzerland)·2026

Same journal

Effect of High-Intensity Ultrasound and Calcium Chelation on Functional Properties of Casein Micelles.

Foods (Basel, Switzerland)·2026

Same journal

GC-MS and GC-IMS Based Metabolomics Combined with Cellular Assays to Characterize Volatile Compounds and Pharmacological Activity of <i>Lysimachia foenum-graecum</i> Hance from Different Origins.

Foods (Basel, Switzerland)·2026

Same journal

Research on the Potential Mechanism of Guanine Nucleotides Enhancing the Tolerance of <i>Lactiplantibacillus plantarum</i> Y12.

Foods (Basel, Switzerland)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Aug 10, 2025

Fruit Volatile Analysis Using an Electronic Nose

Fruit Volatile Analysis Using an Electronic Nose

Published on: March 30, 2012

Predicting the Moisture Ratio of a Hami Melon Drying Process Using Image Processing Technology.

Guanyu Zhu¹, G S V Raghavan², Zhenfeng Li¹

¹Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, School of Mechanical Engineering, Jiangnan University, Wuxi 214122, China.

Foods (Basel, Switzerland)

|February 11, 2023

Summary

This summary is machine-generated.

This study models Hami melon drying, focusing on moisture ratio prediction. A novel algorithm effectively fits and predicts the moisture ratio during the food drying process.

Keywords:

Hami melon drying adjustable-power microwave drying system image processing maximum likelihood moisture ratio model shrinkage

More Related Videos

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

Fabric Moisture Uniform Control to Study the Influence of Air Impingement Parameters on Fabric Drying Characteristics

Fabric Moisture Uniform Control to Study the Influence of Air Impingement Parameters on Fabric Drying Characteristics

Published on: August 19, 2019

Related Experiment Videos

Last Updated: Aug 10, 2025

Fruit Volatile Analysis Using an Electronic Nose

Fruit Volatile Analysis Using an Electronic Nose

Published on: March 30, 2012

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

Fabric Moisture Uniform Control to Study the Influence of Air Impingement Parameters on Fabric Drying Characteristics

Fabric Moisture Uniform Control to Study the Influence of Air Impingement Parameters on Fabric Drying Characteristics

Published on: August 19, 2019

Area of Science:

Food Science
Drying Technology
Mathematical Modeling

Background:

Moisture content and shrinkage are critical parameters in food drying.
Accurate modeling of the drying process is essential for quality control and efficiency.

Purpose of the Study:

To model and predict the moisture ratio during Hami melon drying.
To develop and validate a novel algorithm for moisture ratio prediction.

Main Methods:

Developed an experimental system with microwave drying and image processing.
Derived the moisture ratio expression concerning shrinkage using the Weierstrass approximation theorem.
Utilized a maximum likelihood fitness function-based population evolution (MLFF-PE) algorithm for model fitting and prediction.

Main Results:

Real-time sampling of moisture content and area of Hami melon slices.
Successful derivation of the moisture ratio-shrinkage relationship.
Demonstrated the effectiveness of the MLFF-PE algorithm in fitting and predicting the moisture ratio model.

Conclusions:

The developed MLFF-PE algorithm is effective for moisture ratio modeling and prediction in Hami melon drying.
This approach enhances understanding and control of the food drying process.
The study provides a valuable tool for optimizing Hami melon dehydration.