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

Quality Control01:05

Quality Control

2.9K
Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
2.9K
Quality Assurance01:19

Quality Assurance

2.5K
Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
2.5K
Quality of Water01:19

Quality of Water

576
In concrete preparation, the quality of water is paramount as it affects the strength and durability of the concrete. Potable water is usually preferred; however, it must not have excessive sodium or potassium to prevent compromising the concrete's integrity. Water quality is typically evaluated based on impurities such as dissolved solids, chlorides, and sulfates, and its pH value is ideally between 6 and 8. Even slightly acidic natural water may be acceptable unless it contains harmful...
576
Air-entraining Agents01:27

Air-entraining Agents

276
Air-entraining agents improve the durability and workability of concrete in climates with frequent freezing and thawing. These agents prevent cracks by introducing small air bubbles into the mix, creating spaces accommodating water expansion when temperatures drop. The air-entraining agents lower the surface tension of water, forming stable, small air bubbles. This method is more effective than having accidental large voids, as the intentional, smaller, and evenly distributed air voids improve...
276
Optimal Foraging00:48

Optimal Foraging

14.0K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
14.0K
Optimization Problems01:26

Optimization Problems

80
Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
80

You might also read

Related Articles

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

Sort by
Same author

Impact of Sous-vide Cooking on Quality Attributes of High-Fat and Low-Fat Cuts of Beef, Pork, and Chicken.

Food science of animal resources·2026
Same author

Recent Advances in Nanoscale Sprayable Hydrogels for Cancer Management: Nanoparticle-Loaded Formulations for Therapy and Prevention.

International journal of nanomedicine·2026
Same author

Impact of Sous-vide Cooking on Quality Attributes of High-Fat and Low-Fat Cuts of Beef, Pork, and Chicken.

Food science of animal resources·2026
Same author

Accurate localization of indoor high similarity scenes using visual slam combined with loop closure detection algorithm.

PloS one·2025
Same author

TS-LCD: Two-Stage Loop-Closure Detection Based on Heterogeneous Data Fusion.

Sensors (Basel, Switzerland)·2024
Same author

EFNet: enhancing feature information for 3D object detection in LiDAR point clouds.

Journal of the Optical Society of America. A, Optics, image science, and vision·2024
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

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

Related Experiment Video

Updated: Feb 12, 2026

Improved Heterojunction Quality in Cu2O-based Solar Cells Through the Optimization of Atmospheric Pressure Spatial Atomic Layer Deposited Zn1-xMgxO
08:14

Improved Heterojunction Quality in Cu2O-based Solar Cells Through the Optimization of Atmospheric Pressure Spatial Atomic Layer Deposited Zn1-xMgxO

Published on: July 31, 2016

12.7K

Sensor-Based Optimization Model for Air Quality Improvement in Home IoT.

Jonghyuk Kim1, Hyunwoo Hwangbo2,3

  • 1Big Data Analytics Team, Kolon Benit Co., Ltd., 11 Kolon-ro, Gwacheon-si 13837, Gyeonggi-do, Korea. halfmoonlike@gmail.com.

Sensors (Basel, Switzerland)
|March 24, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces home Internet of Things (IoT) technology and develops a model for improving indoor air quality. The integrated system offers practical marketing applications to expand the home IoT market.

Keywords:
indoor air qualitynatural cubic splinerandom data generationsensor-based home Internet of Things (IoT)spectrum/density analysisuser behavioral value

More Related Videos

Optimized Fabrication Procedure for High-Quality Graphene-based Moir&#233; Superlattice Devices
11:24

Optimized Fabrication Procedure for High-Quality Graphene-based Moiré Superlattice Devices

Published on: July 11, 2025

16.4K
Synthesis, Cellular Delivery and In vivo Application of Dendrimer-based pH Sensors
16:19

Synthesis, Cellular Delivery and In vivo Application of Dendrimer-based pH Sensors

Published on: September 10, 2013

12.3K

Related Experiment Videos

Last Updated: Feb 12, 2026

Improved Heterojunction Quality in Cu2O-based Solar Cells Through the Optimization of Atmospheric Pressure Spatial Atomic Layer Deposited Zn1-xMgxO
08:14

Improved Heterojunction Quality in Cu2O-based Solar Cells Through the Optimization of Atmospheric Pressure Spatial Atomic Layer Deposited Zn1-xMgxO

Published on: July 31, 2016

12.7K
Optimized Fabrication Procedure for High-Quality Graphene-based Moir&#233; Superlattice Devices
11:24

Optimized Fabrication Procedure for High-Quality Graphene-based Moiré Superlattice Devices

Published on: July 11, 2025

16.4K
Synthesis, Cellular Delivery and In vivo Application of Dendrimer-based pH Sensors
16:19

Synthesis, Cellular Delivery and In vivo Application of Dendrimer-based pH Sensors

Published on: September 10, 2013

12.3K

Area of Science:

  • Smart Home Technology
  • Environmental Monitoring
  • Data Science

Background:

  • The proliferation of home Internet of Things (IoT) devices necessitates research into their applications and market strategies.
  • Indoor air quality is a critical service for home IoT, requiring effective monitoring and improvement solutions.

Purpose of the Study:

  • To introduce current home IoT technology and its real-life applications.
  • To present IoT marketing strategies and specific modeling techniques for enhancing indoor air quality.
  • To develop a practical air quality improvement model for the home IoT market.

Main Methods:

  • Summarizing research on sensor-based home IoT, indoor air quality studies, and random data generation techniques.
  • Developing an air quality improvement model using spectrum/density analysis and the natural cubic spline method with initial analytical data.
  • Generating data based on user behavioral values and integrating the model into existing home IoT systems.

Main Results:

  • A functional air quality improvement model was developed, applicable to the market.
  • The model integrates user behavioral data and can be accessed via web and mobile applications.
  • Initial analytical data and infrastructure were established for the model's deployment.

Conclusions:

  • The developed air quality improvement model is practical and ready for market application.
  • Integrating this model into home IoT systems can enhance user experience and system accessibility.
  • The practical marketing application method is expected to contribute to the expansion of the home IoT market.