scholarly journals Internet-of-Things and Smart Homes for Elderly Healthcare: An End User Perspective

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 10483-10496 ◽  
Author(s):  
Debajyoti Pal ◽  
Suree Funilkul ◽  
Nipon Charoenkitkarn ◽  
Prasert Kanthamanon
2018 ◽  
Vol 136 ◽  
pp. 268-276 ◽  
Author(s):  
Eva Martínez-Caro ◽  
Juan Gabriel Cegarra-Navarro ◽  
Alexeis García-Pérez ◽  
Monica Fait

Natural Gas ◽  
2007 ◽  
Vol 14 (7) ◽  
pp. 21-23
Author(s):  
Edward J. Grenier
Keyword(s):  
End User ◽  

1996 ◽  
Vol 26 (2) ◽  
pp. 92-104 ◽  
Author(s):  
Linda Leon ◽  
Zbigniew Przasnyski ◽  
Kala Chand Seal
Keyword(s):  
End User ◽  

2012 ◽  
Vol 65 (7) ◽  
pp. 1200-1207 ◽  
Author(s):  
Jeremy Gabe ◽  
Sam Trowsdale ◽  
Diveshkumar Mistry

Rainwater harvesting is effectively mandated in several urban areas of New Zealand. To understand the costs and benefits of rainwater harvesting from an end-user perspective, semistructured interviews were conducted with 14 homeowners in northern Auckland affected by these regulations. Residents report differences in four aspects of urban rainwater infrastructure – security of supply, water quality, the learning process and financial costs – that could represent key values for public acceptance. When responses are examined from the perspective of experience that has built empirical knowledge, participants explained how their satisfaction with rainwater harvesting increased over time. We hypothesise that for those lacking experience, urban rainwater consumption is a function of empirical knowledge and has initially rising marginal utility. Regulation that recognises the costs of social learning is likely to be a more effective pathway towards maximising the social benefits associated with integrated urban water management.


IoT has become the greatest demand these days due to automation. Every system that helps us on a daily basis has improvised to an internet of things where data are transferred with no human to human or human to computer interaction. There are numerous projects over IoT parking lots, but the efficiency of the system for the underlying demand of the fast world with huge data is yet to be satisfied. In the existing system, using proximity sensor, the parking lots are checked if full and the end-user is notified through app or token for the vacant space and when the lots are full the gate remains closed until space is free to park. In the proposed system the capacitive proximity sensors are used to calculate the dimensions of a car to categories them into macro, sedan, and SUV models and provides the exact level to park. The automatic license plate recognition (ALPR) is used to note the minimum time of parking used by the particular car on two or many occurrences by calculating their mean, thus making efficient usage of space and time for a thriving smart city.


Author(s):  
Promise Agbedanu ◽  
Anca Delia Jurcut

In this era of explosive growth in technology, the internet of things (IoT) has become the game changer when we consider technologies like smart homes and cities, smart energy, security and surveillance, and healthcare. The numerous benefits provided by IoT have become attractive technologies for users and cybercriminals. Cybercriminals of today have the tools and the technology to deploy millions of sophisticated attacks. These attacks need to be investigated; this is where digital forensics comes into play. However, it is not easy to conduct a forensic investigation in IoT systems because of the heterogeneous nature of the IoT environment. Additionally, forensic investigators mostly rely on evidence from service providers, a situation that can lead to evidence contamination. To solve this problem, the authors proposed a blockchain-based IoT forensic model that prevents the admissibility of tampered logs into evidence.


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