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Preface to JAISE 13(4)

Vincent Tam, Hamid Aghajan, Juan Carlos Augusto, Andrés Muñoz
2021 Journal of Ambient Intelligence and Smart Environments  
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]

Sajal K. Das, Diane J. Cook
2005 Lecture Notes in Computer Science  
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]

Sajal K. Das, Diane Cook
2006 Mobile, Wireless, and Sensor Networks  
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

Jessamyn Dahmen, Brian Thomas, Diane Cook, Xiaobo Wang
2017 Sensors  
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

Beiyu Lin, Diane J. Cook
2020 Sensors  
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

Aditi Dixit, Anjali Naik
2014 International Journal of Machine Learning and Computing  
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

Brian Thomas, Diane Cook
2016 Energies  
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  
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

M. Humayun Kabir, M. Robiul Hoque, Hyungyu Seo, Sung-Hyun Yang
2015 International Journal of Smart Home  
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

Jessamyn Dahmen, Diane J. Cook, Xiaobo Wang, Wang Honglei
2017 Journal of Reliable Intelligent Environments  
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

Diane J. Cook, Sajal K. Das
2007 Pervasive and Mobile Computing  
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]

Wen-Yang Wang, Chih-Chieh Chuang, Yu-Sheng Lai, Ying-Hong Wang
2005 Lecture Notes in Computer Science  
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

Carles Gomez, Andrea Prati, Hamid Aghajan, Juan Carlos Augusto
2016 Journal of Ambient Intelligence and Smart Environments  
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

Yuchae Jung
2017 Sensors  
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]

Lina Yao, Quan Z. Sheng, Boualem Benatallah, Schahram Dustdar, Xianzhi Wang, Ali Shemshadi, Anne H.H. Ngu
2017 arXiv   pre-print
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
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