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

Location and Orientation of the Heart01:13

Location and Orientation of the Heart

9.6K
The human heart, despite its modest size and weight, is an organ of remarkable strength and endurance. Roughly the size of a fist, the heart weighs between 250 and 350 grams and is nestled within the mediastinum, the medial cavity of the thorax. It extends obliquely for about 12 to 14 cm, resting on the superior surface of the diaphragm. The heart is positioned anterior to the vertebral column and posterior to the sternum, with two-thirds of its mass lying to the left of the midsternal line.
9.6K
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

265
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
265
Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

959
The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...
959
Olfactory Receptors: Location and Structure01:03

Olfactory Receptors: Location and Structure

11.3K
The process of olfaction, also known as the sense of smell, is a sophisticated chemical response system. The specialized sensory neurons that facilitate this process, known as olfactory receptor neurons, are situated in an upper segment of the nasal cavity, known as the olfactory epithelium. Olfactory sensory neurons are bipolar, with their dendrites extending from the epithelium's apex into the mucus that lines the nasal cavity. Airborne molecules, when inhaled, traverse the olfactory...
11.3K
Gene-Environment Interactions01:20

Gene-Environment Interactions

1.1K
Gene expression is a dynamic process that is significantly influenced by environmental factors. This interaction underlies the complex nature of biological development and the phenotypic differences observed among individuals, even among those with identical genetic makeups. Factors such as radiation, temperature, behavior, nutrition, and stress play pivotal roles in determining how genes are expressed. The concept of the reaction range is central to understanding this interaction. It posits...
1.1K
Background and Environment Affect Phenotype02:27

Background and Environment Affect Phenotype

7.5K
Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...
7.5K

You might also read

Related Articles

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

Sort by
Same author

Construction enthusiasts versus demolition giants: Insights from building footprint data in England.

Environment and planning. B, urban analytics and city science·2026
Same author

Solar Radiation Drives the Plant Species Distribution in Urban Built-Up Areas.

Plants (Basel, Switzerland)·2025
Same author

High-resolution traffic flow data from the urban traffic control system in Glasgow.

Scientific data·2025
Same author

[Fluid management in orthotopic liver transplantation].

Zhongguo wei zhong bing ji jiu yi xue = Chinese critical care medicine = Zhongguo weizhongbing jijiuyixue·2006
Same author

Electromagnetic modelling of Raman enhancement from nanoscale substrates: a route to estimation of the magnitude of the chemical enhancement mechanism in SERS.

Faraday discussions·2006
Same author

[Experimental study on protective effects of HupA in the treatment of isocarbophos poisoning].

Zhonghua lao dong wei sheng zhi ye bing za zhi = Zhonghua laodong weisheng zhiyebing zazhi = Chinese journal of industrial hygiene and occupational diseases·2006

Related Experiment Video

Updated: Jan 25, 2026

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments
08:40

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments

Published on: January 20, 2022

4.8K

A Robust Noise Mitigation Method for the Mobile RFID Location in Built Environment.

Changfeng Jing1, Tiancheng Sun2, Qiang Chen3

  • 1School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, China. jingcf@bucea.edu.cn.

Sensors (Basel, Switzerland)
|May 12, 2019
PubMed
Summary

This study introduces a novel, low-cost Radio Frequency IDentification (RFID) localization system with advanced noise mitigation for smart cities. The method improves accuracy and efficiency in locating public infrastructure across large areas.

Keywords:
localization errorlow-cost localizationnoise mitigationradio frequency identification (RFID)

More Related Videos

Vision Training Methods for Sports Concussion Mitigation and Management
12:54

Vision Training Methods for Sports Concussion Mitigation and Management

Published on: May 5, 2015

18.0K
Experimental Methods of Dust Charging and Mobilization on Surfaces with Exposure to Ultraviolet Radiation or Plasmas
07:54

Experimental Methods of Dust Charging and Mobilization on Surfaces with Exposure to Ultraviolet Radiation or Plasmas

Published on: April 3, 2018

8.7K

Related Experiment Videos

Last Updated: Jan 25, 2026

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments
08:40

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments

Published on: January 20, 2022

4.8K
Vision Training Methods for Sports Concussion Mitigation and Management
12:54

Vision Training Methods for Sports Concussion Mitigation and Management

Published on: May 5, 2015

18.0K
Experimental Methods of Dust Charging and Mobilization on Surfaces with Exposure to Ultraviolet Radiation or Plasmas
07:54

Experimental Methods of Dust Charging and Mobilization on Surfaces with Exposure to Ultraviolet Radiation or Plasmas

Published on: April 3, 2018

8.7K

Area of Science:

  • Built Environment Studies
  • Internet of Things (IoT)
  • Smart City Technologies

Background:

  • Accurate object localization is vital for understanding the built environment.
  • The Internet of Things (IoT) drives demand for low-cost localization solutions for smart city infrastructure.
  • Existing Radio Frequency IDentification (RFID) systems face challenges in large-scale applications due to cost, complexity, and noise sensitivity.

Purpose of the Study:

  • To propose a novel noise mitigation solution for low-cost RFID localization systems.
  • To enhance the accuracy and reduce computational complexity of object localization in large built environments.
  • To develop a practical and robust localization scheme for smart city applications.

Main Methods:

  • Integration of a low-cost localization scheme with a mobile RFID reader.
  • Development of a filter algorithm for abnormal data removal.
  • Application of the random sample consensus (RANSAC) algorithm for robust noise detection.
  • Careful parameter calibration inspired by sampling concepts for noise data sampling.

Main Results:

  • The proposed method effectively mitigates noise in RFID localization data.
  • Improved accuracy and reduced computational complexity were demonstrated.
  • The system proved effective for localization and noise mitigation in large areas.
  • Experimental results validated the advantages of the proposed scheme.

Conclusions:

  • The developed RFID localization and noise mitigation scheme is effective and practical for large-scale applications.
  • The method offers a low-cost, efficient solution for locating infrastructure in smart cities.
  • Potential applications include enhancing location-based services within smart city frameworks.