Sensors for fire alarms require a high level of predictive variables to ensure accurate detection, injury prevention, and loss prevention. Bayesian networks can aid in enhancing early fire detection capabilities and r...Sensors for fire alarms require a high level of predictive variables to ensure accurate detection, injury prevention, and loss prevention. Bayesian networks can aid in enhancing early fire detection capabilities and reducing the frequency of erroneous fire alerts, thereby enhancing the effectiveness of numerous safety monitoring systems. This research explores the development of optimized probabilistic graphic models for the discretization thresholds of alarm system predictor variables. The study presents a statistical model framework that increases the efficacy of fire detection by predicting the discretization thresholds of alarm system predictor variable fluctuations used to detect the onset of fire. The work applies the Bayesian networks and probabilistic visual models to reveal the specific characteristics required to cope with fire detection strategies and patterns. The adopted methodology utilizes a combination of prior knowledge and statistical data to draw conclusions from observations. Utilizing domain knowledge to compute conditional dependencies between network variables enabled predictions to be made through the application of specialized analytical and simulation techniques.展开更多
Objective:The main objective of this project was to studyhow to secure the wandering of elderly persons diagnosed with dementia caused by Alzheimer’s disease by using healthcare technologies. Methods:The study was ca...Objective:The main objective of this project was to studyhow to secure the wandering of elderly persons diagnosed with dementia caused by Alzheimer’s disease by using healthcare technologies. Methods:The study was carried out during a three-year period (2008-2011) in the region of South Ostrobothnia, Finland. Thirty-two elderly persons living at home and diagnosed with Alzheimer’s disease participated in the study. The ages of the intervention group ranged from 66 to 90 years;the average age was 81 years. A total of 63 different home care devices including 24 location based technologies were tested during the intervention.The choice of technology used was based on the individual needs of the elderly person. Results:Participants with mild stage memory impairment were able to use and benefit from the technology installed during the intervention to live more independently.The most useful devices were those that operated within the home. Nine of ten users of door alarm systems, five of nine users of GPS systems and all users of GSM systems were satisfied with the technologies. Conclusions:Location based alarm and access control technology can have a positive impact on the lives of elderly persons suffering from dementia. When chosen appropriately, technology can help to reduce or eliminate the wandering often associated with dementia.Regardless of the technology used, it should be installed when the elderly person is at the early stages of dementia;at later stages of the disease it is usually impossible for the elderly to adequately adopt the device.展开更多
A fire alarm system(FAS)is a system comprising signalling-alarm devices,which automatically detect and transmit information about fire,but also receivers of fire alarms and receivers for damage signals.Fire alarm syst...A fire alarm system(FAS)is a system comprising signalling-alarm devices,which automatically detect and transmit information about fire,but also receivers of fire alarms and receivers for damage signals.Fire alarm systems function in different environmental conditions.During operation they should be in state of fitness.This is determined by the reliability of the assembled units and rational management of the operation process.Therefore a reliability and operational analysis of fire alarm systems as a whole is essential.This article presents an authorial model and an operational and reliability analysis of FAS,which is exploited in a transport building.It also demonstrates relationships occurring in the analysed system,where to an addressable fire alarm central unit with detection loops and control-monitoring loops alarm device lines(with monitored relay outputs for actuation of alarm-signalling devices)were connected.Research and analysis of results for representative FAS,which were exploited in similar environmental conditions,were conducted in order to determine operational and reliability parameters of the investigated system.FAS computer simulation was run during the time t=1 year of safety system operation.This led to the calculation of the probability value of the analysed FAS staying in the examined operational states.展开更多
文摘Sensors for fire alarms require a high level of predictive variables to ensure accurate detection, injury prevention, and loss prevention. Bayesian networks can aid in enhancing early fire detection capabilities and reducing the frequency of erroneous fire alerts, thereby enhancing the effectiveness of numerous safety monitoring systems. This research explores the development of optimized probabilistic graphic models for the discretization thresholds of alarm system predictor variables. The study presents a statistical model framework that increases the efficacy of fire detection by predicting the discretization thresholds of alarm system predictor variable fluctuations used to detect the onset of fire. The work applies the Bayesian networks and probabilistic visual models to reveal the specific characteristics required to cope with fire detection strategies and patterns. The adopted methodology utilizes a combination of prior knowledge and statistical data to draw conclusions from observations. Utilizing domain knowledge to compute conditional dependencies between network variables enabled predictions to be made through the application of specialized analytical and simulation techniques.
基金supported by the European Union(EU)European Social Fund(ESF)fund as part of the“Kulku-rin Valssi”Project.
文摘Objective:The main objective of this project was to studyhow to secure the wandering of elderly persons diagnosed with dementia caused by Alzheimer’s disease by using healthcare technologies. Methods:The study was carried out during a three-year period (2008-2011) in the region of South Ostrobothnia, Finland. Thirty-two elderly persons living at home and diagnosed with Alzheimer’s disease participated in the study. The ages of the intervention group ranged from 66 to 90 years;the average age was 81 years. A total of 63 different home care devices including 24 location based technologies were tested during the intervention.The choice of technology used was based on the individual needs of the elderly person. Results:Participants with mild stage memory impairment were able to use and benefit from the technology installed during the intervention to live more independently.The most useful devices were those that operated within the home. Nine of ten users of door alarm systems, five of nine users of GPS systems and all users of GSM systems were satisfied with the technologies. Conclusions:Location based alarm and access control technology can have a positive impact on the lives of elderly persons suffering from dementia. When chosen appropriately, technology can help to reduce or eliminate the wandering often associated with dementia.Regardless of the technology used, it should be installed when the elderly person is at the early stages of dementia;at later stages of the disease it is usually impossible for the elderly to adequately adopt the device.
文摘A fire alarm system(FAS)is a system comprising signalling-alarm devices,which automatically detect and transmit information about fire,but also receivers of fire alarms and receivers for damage signals.Fire alarm systems function in different environmental conditions.During operation they should be in state of fitness.This is determined by the reliability of the assembled units and rational management of the operation process.Therefore a reliability and operational analysis of fire alarm systems as a whole is essential.This article presents an authorial model and an operational and reliability analysis of FAS,which is exploited in a transport building.It also demonstrates relationships occurring in the analysed system,where to an addressable fire alarm central unit with detection loops and control-monitoring loops alarm device lines(with monitored relay outputs for actuation of alarm-signalling devices)were connected.Research and analysis of results for representative FAS,which were exploited in similar environmental conditions,were conducted in order to determine operational and reliability parameters of the investigated system.FAS computer simulation was run during the time t=1 year of safety system operation.This led to the calculation of the probability value of the analysed FAS staying in the examined operational states.
