Risk Analysis and Assessment to Enhance Safety in a Smart Kitchen

Yared, Rami; Abdulrazak, Bessam

doi:10.1007/s10694-017-0696-5

Cited by 6 publications

(2 citation statements)

References 29 publications

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“…The framework of smart geriatric nursing for daily life based on big data in health is shown in Figure 6 . Smart geriatric nursing for daily life includes but is not limited to (1) recommendation of outdoor activities with smart tour for the elderly [ 54 , 55 ]; (2) research and recommendation of university courses for the elderly or collective activities for the elderly [ 56 ]; (3) recommendation of physical status-based dietary habits, food taboos, and perceptions [ 57 , 58 ]; (4) healthy menu recommendation [ 59 , 60 ]; (5) data-based physical exercises recommendation [ 61 , 62 ]; (6) rest and sleep wisdom reminder; (7) antifall reminder; and (8) cooking safe with smart kitchen [ 63 ]. Smart geriatric nursing for daily life should cover the diet and nutrition, environment and life, safety, and activities of the elderly in their daily life.…”

Section: Smart Geriatric Nursing For Daily Life Based On Big Data mentioning

confidence: 99%

A Simple Framework of Smart Geriatric Nursing considering Health Big Data and User Profile

Tang

2020

Computational and Mathematical Methods in Medicine

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The National Bureau of Statistics of China shows that the population over 65 years old in China exceeds 166 million accounting for 11.93% of the total population by the end of 2018. The importance and severity of taking care of the elderly are becoming increasingly prominent. High-quality and meticulous care for the daily life of the elderly needs helpful and advanced sciences and technologies. Smart geriatric nursing is a must. Basing on the professional knowledge of geriatric nursing, this paper proposes a framework of smart geriatric nursing which consists of three aspects of smart nursing: smart geriatric nursing in physical health using biosensor and advanced devices, smart geriatric nursing in mental health based on user profile, and smart geriatric nursing for daily life based on big data in health. The deployment of the proposed method relies on the technologies of the Internet of Things (IoT), user profile system, big data, and many other advanced information technologies. The framework of methods can provide a useful reference for the systematic technical scheme of smart geriatric nursing in an aging society.

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Section: Smart Geriatric Nursing For Daily Life Based On Big Data mentioning

confidence: 99%

A Simple Framework of Smart Geriatric Nursing considering Health Big Data and User Profile

Tang

2020

Computational and Mathematical Methods in Medicine

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“…For cost-benefit analysis also probabilistic method was used [14,15]. Some recent research has highlighted probability based quantification of various aspects of fire safety engineering [16][17][18][19][20][21]. Examples of application of comprehensive QPRA on a performancebased designed building are rare in archival journals.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Risk Assessment of Life Safety for a Six-Storey Commercial Building with an Open Stair Interconnecting Four Storeys: A Case Study

Sabapathy¹,

Depetro²,

Moinuddin

2019

Fire Technol

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The gold standard for complying Performance Requirements is based on a Quantitative Probabilistic Risk Assessment (QPRA) method. This case study demonstrates the application of this approach to performance based design of a six-storey commercial building with an open stair interconnecting four storeys. Computational Fluid Dynamics (CFD) based and zone fire as well as evacuation simulations are used to quantify consequences whilst detailed event trees underpinned by statistical data and analysis are utilised to calculate corresponding probabilities. Results are combined in a trade-off analysis tool which calculates the Expected Risk to Life (ERL) based on the trial design features included in each design option. The approach was used to determine a preferred design that achieves an acceptably low ERL and compliance with the Performance Requirements of the Building Code of Australia (BCA). The benchmark ERL was set as 1.36 deaths/1000 fires or a probability of death from a fire of 1.36 x 10-3 based on local statistical data. To obtain an optimum fire safety design (Alternative Solution) a layered approach was adopted in which fire safety systems were added until the risk to occupants in the building due to a fire is the same or less than the benchmark ERL. Eventually three sets of trial design were considered and in all cases the calculated ERL were roughly 22% lower than the benchmark. Eventually the trial design with the least number of fire safety systems were recommended as the Alternative Solution. The trade-off analysis shows the sprinklers and wallwetting sprinklers in the office area resulted in a 20-fold difference in the building wide ERL, each. Schematic Design Fire Specification Event Tree Development Preliminary Risk Assessment and Scenario Generation Data Collection/Analysis Collect and analyse relevant data Determine credible fire scenarios (causes, locations, etc.) Conduct preliminary, qualitative risk analysis Complete risk ranking and short list design fire scenarios Identify all possible statuses of fire safety subsystems Construct event tree and generate possible outcomes Calculate probabilities using relevant data

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Smart Home Technologies Toward SMART (Specific, Measurable, Achievable, Realistic, and Timely) Outlook

Kumar¹,

Gunapriya²,

Sivaranjani³

et al. 2022

Mobile Computing and Sustainable Informatics

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Risk Analysis and Assessment to Enhance Safety in a Smart Kitchen

Cited by 6 publications

References 29 publications

A Simple Framework of Smart Geriatric Nursing considering Health Big Data and User Profile

A Simple Framework of Smart Geriatric Nursing considering Health Big Data and User Profile

Probabilistic Risk Assessment of Life Safety for a Six-Storey Commercial Building with an Open Stair Interconnecting Four Storeys: A Case Study

Smart Home Technologies Toward SMART (Specific, Measurable, Achievable, Realistic, and Timely) Outlook

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