Smart homes
Top PDF Smart homes:
Demand response for smart homes
... the smart home transition profitable, each customer is supposed to use its own HEMS to maximize its comfort level or/and minimizes its ...of smart homes, a new problem for the generator company ...
127
Spatiotemporal knowledge representation and reasoning under uncertainty for action recognition in smart homes
... in smart homes. Sensors embedded in smart home provide primary data to reason about observations and provide appropriate assistance for residents to complete their Activities Daily Livings ...
7
On-line Human Activity Recognition from Audio and Home Automation Sensors: comparison of sequential and non-sequential models in realistic Smart Homes
... In Smart Homes, AR can be performed from a set of very heterogeneous raw data streams of various sensors, such as binary presence detectors (Presence Infra-Red sensors or PIR), continuous microphone sig- ...
26
User in the Loop: Adaptive Smart Homes Exploiting User Feedback—State of the Art and Future Directions
... Keywords: smart homes; user-centered decision making; Markov decision process ...on smart homes and on ambient-assisted living has grown these last ...
19
Introducing Knowledge in the Process of Supervised Classification of Activities of Daily Living in Health Smart Homes
... One of the field that uses these possibilities of acquiring data is telemedicine. Indeed with the evolution of the world population, we face a lack of institution and one of the solution could be to remotely monitor ...
9
The SWEET-HOME Project: Audio Technology in Smart Homes to improve Well-being and Reliance
... of smart homes. In the health domain, a health smart home is a habitation equipped with a set of sensors, actuators, automated devices and centralised software controllers specifically designed for ...
5
The SWEET-HOME Project: Audio Technology in Smart Homes to improve Well-being and Reliance
... The SWEET-HOME Project: Audio Technology in Smart Homes to improve Well-being and Reliance M. Vacher 1 , Dan Istrate 2 , Franc¸ois Portet 1 , Thierry Joubert 3 , Thierry Chevalier 4 , Serge Smidtas 5 , ...
2
Learning Natural Language Understanding Systems from Unaligned Labels for Voice Command in Smart Homes
... Understanding, Smart Envi- ronments, Deep Neural Network, Voice-User Interface ...NTRODUCTION Smart-homes with integrated voice-user interfaces (VUI) can provide in-home assistance to aging ...
7
Integrated Management of Energy, Wellbeing and Health in the Next Generation of Smart Homes
... the smart home technologies is regarding the security and the privacy of the collected, stored and transmitted ...the smart home ...the smart home (which can be either constrained or with high ...
25
Semi-Distributed Demand Response Solutions for Smart Homes
... 5.4 Discussion The results presented previously can be seen as intuitive. However, they show some interesting tradeoffs that need to be considered when proposing a DR solu- tion. As suggested by the results, a fine ...
17
Activity recognition in smart homes using UWB radars
... context, smart homes are embraced as a potentially cheap alternative to enable secure, semi-autonomous life for the elders ...the smart home initiatives adopt the model based on cheap ubiquitous ...
8
Learning about End-User Development for Smart Homes by " Eating Our Own Dog Food "
... in homes of project team members provides highly valuable information for tuning the protocols before the start of field studies, thus improving the quality of the evaluation itself while saving time and discovery ...
5
Short-term forecasting of electricity demand of smart homes and distribution grids
... by smart meters, the measures of this feeder demand have several advantages: they are exhaustive all clients are included, non-invasive individual demand is hidden among the others, and have been col- lected ...
269
A Survey on Health Monitoring Systems for Health Smart Homes
... HMSs promote human safety in healthcare for the var- ious stakeholders including the elderly, caregivers, emer- gency personnel, etc. This factor is of paramount impor- tance in healthcare and remains a concern. It has ...
38
Adaptive monitoring system for e-health smart homes
... Figure 2: Components of the framework for the e-health monitoring system. 3.3. Framework description Daily activities represent the context in our context-aware approach. It is used as the base layer for the different ...
24
A fuzzy temporal data-mining model for activity recognition in smart homes
... We then performed a series of tests, taking the form of several case studies related to common activities of daily living, in order to show the functionality and efficiency of the propos[r] ...
223
Smart Voting
... of smart ballots into direct votes for alternatives we propose four unravelling procedures (Section 2), and we show that they terminate in polynomial time (Section ...of smart vot- ing is that of obtaining ...
8
Smart Bolometer: Toward Monolithic Bolometer with Smart Functions
... with smart bolometers according to the IEEE 1451.2 definition of smart sensors which states that smart sensors are sensors that provide functions beyond those necessary for generating a correct ...
28
Towards a Smart Cloud Gate For Smart Devices
... a smart manner? Our suggested Answer is an environment composed of three levels: Architectural level, the intermediate level composed of two middleware Smart Cloud Gate and Smart Mobile Cloud ...
7
Canadian research has implications for smoke detectors in homes
... Canadian research has implications for smoke detectors in homes Su, J. Z. https://publications-cnrc.canada.ca/fra/droits L’accès à ce site Web et l’utilisation de son contenu sont assujettis aux conditions ...
3