A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Filters
Preface to JAISE 13(4)
2021
Journal of Ambient Intelligence and Smart Environments
Preserved Fulltext
tree-based machine learning approach for predicting the home inhabitants' activities through different input data types such as locations, states and time of use of various home appliances. ...
The proposed machine learning algorithm attains an accuracy of 90% to predict the involved locations based on a well-known smart home dataset. ...
tree-based machine learning approach for predicting the home inhabitants' activities through different input data types such as locations, states and time of use of various home appliances. ...
doi:10.3233/ais-210603
fatcat:nrvmcize7rc5jntv4hmk6vdq5i
Designing Smart Environments: A Paradigm Based on Learning and Prediction
[chapter]
2005
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
This chapter proposes a learning and prediction based paradigm for designing smart home environments. ...
Thus, the learning and prediction based paradigm optimizes goal functions of smart home environments such as minimizing maintenance cost, manual interactions and energy utilization. ...
New smart homes in neighboring locations could, for example, benefit from patterns learned in an older home, but care must be taken to share information without violating the privacy of home inhabitants ...
doi:10.1007/11590316_11
fatcat:6fhhrxatq5cv3oyhjjqivw2f24
Designing Smart Environments: A Paradigm Based on Learning and Prediction
[chapter]
2006
Mobile, Wireless, and Sensor Networks
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
This chapter proposes a learning and prediction based paradigm for designing smart home environments. ...
Thus, the learning and prediction based paradigm optimizes goal functions of smart home environments such as minimizing maintenance cost, manual interactions and energy utilization. ...
New smart homes in neighboring locations could, for example, benefit from patterns learned in an older home, but care must be taken to share information without violating the privacy of home inhabitants ...
doi:10.1002/0471755591.ch13
fatcat:x5aqasjvhjfb3hkxsoffgt2hpq
Activity Learning as a Foundation for Security Monitoring in Smart Homes
2017
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
We describe our approach using the CASAS smart home framework and activity learning algorithms. By monitoring for activity-based anomalies we can detect possible threats and take appropriate action. ...
With this maturation of the technology, we can consider using smart homes as a practical mechanism for improving home security. ...
We postulate that learning activities provides a richer source of information for smart homes and can thus improve the security of the home. ...
doi:10.3390/s17040737
pmid:28362342
pmcid:PMC5421697
fatcat:az5w5j37mjcjvofg2oj4o7znca
Analyzing Sensor-Based Individual and Population Behavior Patterns via Inverse Reinforcement Learning
2020
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We then analyzed daily routines for an individual and for eight smart home residents grouped by health diagnoses. We observed that the behavioral routine preferences changed over time. ...
In this paper, we introduce a novel algorithm—Resident Relative Entropy-Inverse Reinforcement Learning (RRE-IRL)—to perform an analysis of a single smart home resident or a group of residents, using inverse ...
Figure 1 . 1 Resident Relative Entropy-Inverse Reinforcement Learning (RRE-IRL) analysis of smart home sensor data.
Figure 2 . 2 Floor plan and sensor locations for an on-campus smart home testbed. ...
doi:10.3390/s20185207
pmid:32932643
pmcid:PMC7570972
fatcat:cjvj3fqnzzhf3hs37j5pdygz7e
Use of Prediction Algorithms in Smart Homes
2014
International Journal of Machine Learning and Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Smart Homes' or 'Intelligent Homes' are capable in making smart or rational decisions and increase home automation. This is done to maximize inhabitant comfort and minimize operation cost. ...
The effectiveness of the Prediction algorithms used is demonstrated ;making it clear how they prove to be a key component in the efficient implementation of a Smart Home architecture. ...
When Ann leaves for work, the Smart Home secures the home and later that it places a grocery order for milk and bread. ...
doi:10.7763/ijmlc.2014.v4.405
fatcat:3rz5kztxcvcnxpuaepmaf4snyi
Activity-Aware Energy-Efficient Automation of Smart Buildings
2016
Energies
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Our ideas are demonstrated in the context of a smart home but can be utilized in a variety of smart city settings including smart offices, smart hospitals, and smart communities. ...
recognition and activity prediction algorithms that form the foundation of activity-aware CPS and implement a prototype activity-aware building automation system, called CASAS activity aware resource learning ...
Thomas conceived the CASAS infrastructure, installed the Navan smart home testbed, implemented CARL, and performed the experiments. Diane J. ...
doi:10.3390/en9080624
fatcat:zzeifr7fircrvbtocvxcx5qaiu
Pattern Discovering for Ontology Based Activity Recognition in Multi-resident Homes
2020
Tạp chí Đại học Thủ Dầu Một
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Activity recognition is one of the preliminary steps in designing and implementing assistive services in smart homes. ...
In this paper, we introduce a hybrid mechanism between ontology-based and unsupervised machine learning strategies in creating activity models used for activity recognition in the context of multi-resident ...
In the future, we will implement the proposed system in other smart home environments and looking for re-training conditions necessary to deploy a real smart home system efficiently for a long time. ...
doi:10.37550/tdmu.ejs/2020.04.079
fatcat:hjypmwloinbthn5v7haqnuucr4
Machine Learning Based Adaptive Context-Aware System for Smart Home Environment
2015
International Journal of Smart Home
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Context-awareness is the key element for building a smart home environment. ...
The goal of a smart home is to predict the demand of home users and proactively provides the proper services by considering the user's context information. ...
A control system based on machine learning approach is necessary to achieve adaptive control in smart home environment. Rule-based approaches rely on rules for making any decision. ...
doi:10.14257/ijsh.2015.9.11.07
fatcat:zt65civi6jgxrmcn3lq67zi4ny
Smart secure homes: a survey of smart home technologies that sense, assess, and respond to security threats
2017
Journal of Reliable Intelligent Environments
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We first explore the numerous ways smart homes can and do provide protection for their residents. ...
Recent smart home applications are focused on activity recognition, health monitoring, and automation. In this paper, we take a look at another important role for smart homes: security. ...
This type of event can then be learned for all smart homes, lowering false positive rates for new smart homes and reducing the amount of efforts residents must expend in explaining the events and training ...
doi:10.1007/s40860-017-0035-0
pmid:28966906
pmcid:PMC5616189
fatcat:krchdlhpcrbrfddrzbrg6p35mi
How smart are our environments? An updated look at the state of the art
2007
Pervasive and Mobile Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We also discuss ongoing challenges for continued research. ...
In this paper we take a look at the start of the art in smart environments research. ...
Assuming a cooperative environment, they proposed [75] a cooperative game theory based learning policy for location-aware resource management in multi-inhabitant smart homes. ...
doi:10.1016/j.pmcj.2006.12.001
fatcat:2iwbmer3rfh2liwpzfxzpco5ae
A Context-Aware System for Smart Home Applications
[chapter]
2005
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Therefore, we propose a context-aware system, CASSHA (Context-Aware System for Smart Home Applications), which is designed for smart home applications. ...
However, there are some challenges for applications in ubiquitous computing, especially for those in smart home. ...
For examples, thermometers measure the temperatures, while locators show the locations of users. ...
doi:10.1007/11596042_31
fatcat:gmahidw5e5ep3m63jmz2m5bdie
Preface
2016
Journal of Ambient Intelligence and Smart Environments
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
The paper "A user behaviour-driven smart-home gateway for energy management" by Vastardis et al. provides a novel system architecture and describes the implementation of a user-centric smart-home gateway ...
This issue Energy management is one of the main application domains in smart homes and buildings. ...
The paper "A user behaviour-driven smart-home gateway for energy management" by Vastardis et al. provides a novel system architecture and describes the implementation of a user-centric smart-home gateway ...
doi:10.3233/ais-160407
fatcat:qhlvnhe3o5gdxprjs4ewevfvei
Hybrid-Aware Model for Senior Wellness Service in Smart Home
2017
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Smart home technology with situation-awareness is important for seniors to improve safety and security. ...
For monitoring senior activity in smart home, wearable, and motion sensors-such as respiration rate (RR), electrocardiography (ECG), body temperature, and blood pressure (BP)-were used for monitoring movements ...
A cloud-based smart home server collects sensing data and uses it for analysis with various machine learning algorithms for smart home care service. ...
doi:10.3390/s17051182
pmid:28531157
pmcid:PMC5470927
fatcat:wsohmfrmynhk7hx6hd5v7mtbhy
Up in the Air: When Homes Meet the Web of Things
[article]
2017
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
In this paper, we report our practical experience in the design and development of a smart home system in a WoT environment. ...
Our system provides a layered framework for managing and sharing the information produced by physical things as well as the residents. ...
smart home applications [8] . ...
arXiv:1512.06257v3
fatcat:s66vfz66uvd57igaki3dozsoly
« Previous
Showing results 1 — 15 out of 100,856 results