Social network analysis as an augmentation of qualitative research

Knobel, Cory P.

doi:10.1109/cts.2013.6567209

Cited by 2 publications

(1 citation statement)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This method is used when the computational capabilities of other methods are limited and a thorough study of the behavioral components is required [8]. This method uses various sources such as research papers, newspapers, books, and images to confirm the information's accuracy [9]. The Quantitative Method was used for calculations and work with statistical data.…”

Section: Methodsmentioning

confidence: 99%

A Model of an Autonomous Smart Lighting System Using Sensors

Tleubayeva

Maidanov

Kantayeva

2022

sjaitu

View full text Add to dashboard Cite

Traditional street lighting systems receive data about daylight levels and adjust lighting. However, in such conditions, energy consumption increases since the sensors of such systems receive data on only one indicator which is daylight. Therefore, a suitable automated intelligent lighting system model is needed. Intelligent lighting systems can adjust the brightness of the light not only based on natural data, but also based on the movement of vehicles and people. This paper describes the development, implementation, and testing of a smart lighting system model to increase energy efficiency and high reliability. This system is controlled by a micro-controller programmed to control the lighting and receive data from sensors for processing with good efficiency. Distributed sensors record environmental conditions such as daylight and traffic. Photo-resistors change resistance in daylight to light up the streets at night. The HC-SR501 infrared motion sensor detects objects emitting infrared radiation (heat) in the controlled motion zone and sends a signal to the micro-controller. The intelligent lighting system uses LED's, which consume less energy and achieve high efficiency. Calculations show that the efficiency of using these lamps is almost 70%, compared to what is used in conventional street lighting systems.

show abstract

Section: Methodsmentioning

confidence: 99%

A Model of an Autonomous Smart Lighting System Using Sensors

Tleubayeva

Maidanov

Kantayeva

2022

sjaitu

View full text Add to dashboard Cite

show abstract

A framework to understand the relationship between social factors that reduce resilience in cities: Application to the City of Boston

Martin

2015

International Journal of Disaster Risk Reduction

View full text Add to dashboard Cite

a b s t r a c tFor the first time in human history, more people across the world live in cities than in rural areas: In the U.S., approximately 80% of the population live in cities. Socially vulnerable populations and complex infrastructure exist in higher numbers in cities significantly compounding risk. People facing these social factors have disproportionate exposure to risk and a decreased ability to avoid or absorb potential loss. However, the body of literature available on social vulnerability is disparate with fragmented insight into understanding the relationship between social factors that increase vulnerability and practical approaches to reduce risk. This research focuses on developing a replicable, practical approach to understanding the complexity of social vulnerability in American cities while reducing the likelihood of civil rights violations. The Social Determinants of Vulnerability Framework (The Framework) was developed using a link analysis of social factors from existing literature. The Framework consists of seven interrelated social factors that seem to be driving vulnerability: children, people with disabilities, older adults, chronic and acute medical illness, social isolation, low-to-no income, and people of color. The Framework also includes specific poor outcomes that people with pre-emergency social factors are more likely to experience at disproportionately higher levels after emergencies: lack of access to post-incident services; displacement; injury, illness, and death; property loss or damage; domestic violence; and loss of employment. A quantitative analysis of those social factors based on City of Boston data confirmed many of the relationships among the social factors of vulnerability and the significance of social isolation.

show abstract

Social network analysis as an augmentation of qualitative research

Cited by 2 publications

References 4 publications

A Model of an Autonomous Smart Lighting System Using Sensors

A Model of an Autonomous Smart Lighting System Using Sensors

A framework to understand the relationship between social factors that reduce resilience in cities: Application to the City of Boston

Contact Info

Product

Resources

About