This paper analyzes the characteristics of smart home, gives the smart home composition and the application of key equipment; and smart home key technologies to illustrate the design of smart home electricity service system and related communication systems.
Once in the interview room, each participant was administered a demographic questionnaire by the interviewer to gather information such as age, marital status, education level, siblings/other children, and home composition.
Participants were also asked to report their age, gender, height, weight, self-rated general health, level of educational attainment, home and work postcodes, duration of residence in their current home, household composition and income, housing tenure, level of physical activity at work and awareness of any projects related to walking and cycling in their local area.
The data includes disparate demographic and lifestyle information such as income, home ownership, household composition, buying patterns, voting history, transportation choices, social networking activity and physical activity as measured by tracking devices.
It used census information that represents various aspects of deprivation: education, occupation, home ownership, family composition and nationality.
All centers gathered information about the home environment and household composition, including presence of the father.
The following demographic and clinical data were collected: Demographics: We collected data about age, gender, ethnicity (prioritised according to accepted ethnicity data protocols [ 21 – 23 ]), relationship status, home ownership, and household composition, based on questions from the 2006 Statistics New Zealand Census.
We are measuring this with questions from the SF-36 scale and a question from the EQ-5D [ 9]. 7. Demographic data: Data about ethnicity, descent from New Zealand Māori, household composition and home ownership will be collected as per the New Zealand Census [ 30]. 1. Co-morbidity:Following participants consent, research staff will collect these data from participants' clinical records.
Second, SHS exposure was defined as a proxy measure constructed from self-reported home smoking rules and household composition of smokers, and might thus not always reflect real exposure to SHS at home.
Indeed, as they are characterized by different circumstances (different marital status, age, family compositions, home-ownership status, disability status) or levels of non-labor income, their effective tax schedules are different, i.e., different actual marginal tax rates or benefit withdrawal rates.
These covered family composition, parental education and age, annual household income, language spoken at home, ethnicity and adoption.
