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Automatic agent generation for IoT-based smart house simulator

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Automatic agent generation for IoT-based smart house simulator. / Lee, W.; Cho, S.; Chu, P.; Vu, H.; Helal, Sumi; Song, W.; Jeong, Y.-S.; Cho, K.

In: Neurocomputing, Vol. 209, 12.10.2016, p. 14-24.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Lee, W, Cho, S, Chu, P, Vu, H, Helal, S, Song, W, Jeong, Y-S & Cho, K 2016, 'Automatic agent generation for IoT-based smart house simulator', Neurocomputing, vol. 209, pp. 14-24. https://doi.org/10.1016/j.neucom.2015.04.130

APA

Lee, W., Cho, S., Chu, P., Vu, H., Helal, S., Song, W., Jeong, Y-S., & Cho, K. (2016). Automatic agent generation for IoT-based smart house simulator. Neurocomputing, 209, 14-24. https://doi.org/10.1016/j.neucom.2015.04.130

Vancouver

Lee W, Cho S, Chu P, Vu H, Helal S, Song W et al. Automatic agent generation for IoT-based smart house simulator. Neurocomputing. 2016 Oct 12;209:14-24. https://doi.org/10.1016/j.neucom.2015.04.130

Author

Lee, W. ; Cho, S. ; Chu, P. ; Vu, H. ; Helal, Sumi ; Song, W. ; Jeong, Y.-S. ; Cho, K. / Automatic agent generation for IoT-based smart house simulator. In: Neurocomputing. 2016 ; Vol. 209. pp. 14-24.

Bibtex

@article{655a1585001e4882888d2c3096ced561,
title = "Automatic agent generation for IoT-based smart house simulator",
abstract = "In order to evaluate the quality of Internet of Things (IoT) environments in smart houses, large datasets containing interactions between people and ubiquitous environments are essential for hardware and software testing. Both testing and simulation require a substantial amount of time and volunteer resources. Consequently, the ability to simulate these ubiquitous environments has recently increased in importance. In order to create an easy-to-use simulator for designing ubiquitous environments, we propose a simulator and autonomous agent generator that simulates human activity in smart houses. The simulator provides a three-dimensional (3D) graphical user interface (GUI) that enables spatial configuration, along with virtual sensors that simulate actual sensors. In addition, the simulator provides an artificial intelligence agent that automatically interacts with virtual smart houses using a motivation-driven behavior planning method. The virtual sensors are designed to detect the states of the smart house and its living agents. The sensed datasets simulate long-term interaction results for ubiquitous computing researchers, reducing the testing costs associated with smart house architecture evaluation. {\textcopyright} 2016 Elsevier B.V.",
keywords = "Autonomous agent, Behavior planning, GUI tool, Ubiquitous computing, Virtual environment, Artificial intelligence, Graphical user interfaces, Houses, Internet of things, Quality control, Simulators, Software testing, User interfaces, Virtual reality, Architecture evaluation, Artificial intelligence agent, Graphical user interfaces (GUI), GUI tools, Internet of Things (IOT), Threedimensional (3-d), Ubiquitous environments, Autonomous agents, Article, artificial intelligence, biosensor, computer interface, controlled study, Internet, Internet of Things based smart house simulator, limit of quantitation, measurement accuracy, priority journal, simulation, simulator",
author = "W. Lee and S. Cho and P. Chu and H. Vu and Sumi Helal and W. Song and Y.-S. Jeong and K. Cho",
year = "2016",
month = oct,
day = "12",
doi = "10.1016/j.neucom.2015.04.130",
language = "English",
volume = "209",
pages = "14--24",
journal = "Neurocomputing",
issn = "0925-2312",
publisher = "Elsevier Science B.V.",

}

RIS

TY - JOUR

T1 - Automatic agent generation for IoT-based smart house simulator

AU - Lee, W.

AU - Cho, S.

AU - Chu, P.

AU - Vu, H.

AU - Helal, Sumi

AU - Song, W.

AU - Jeong, Y.-S.

AU - Cho, K.

PY - 2016/10/12

Y1 - 2016/10/12

N2 - In order to evaluate the quality of Internet of Things (IoT) environments in smart houses, large datasets containing interactions between people and ubiquitous environments are essential for hardware and software testing. Both testing and simulation require a substantial amount of time and volunteer resources. Consequently, the ability to simulate these ubiquitous environments has recently increased in importance. In order to create an easy-to-use simulator for designing ubiquitous environments, we propose a simulator and autonomous agent generator that simulates human activity in smart houses. The simulator provides a three-dimensional (3D) graphical user interface (GUI) that enables spatial configuration, along with virtual sensors that simulate actual sensors. In addition, the simulator provides an artificial intelligence agent that automatically interacts with virtual smart houses using a motivation-driven behavior planning method. The virtual sensors are designed to detect the states of the smart house and its living agents. The sensed datasets simulate long-term interaction results for ubiquitous computing researchers, reducing the testing costs associated with smart house architecture evaluation. © 2016 Elsevier B.V.

AB - In order to evaluate the quality of Internet of Things (IoT) environments in smart houses, large datasets containing interactions between people and ubiquitous environments are essential for hardware and software testing. Both testing and simulation require a substantial amount of time and volunteer resources. Consequently, the ability to simulate these ubiquitous environments has recently increased in importance. In order to create an easy-to-use simulator for designing ubiquitous environments, we propose a simulator and autonomous agent generator that simulates human activity in smart houses. The simulator provides a three-dimensional (3D) graphical user interface (GUI) that enables spatial configuration, along with virtual sensors that simulate actual sensors. In addition, the simulator provides an artificial intelligence agent that automatically interacts with virtual smart houses using a motivation-driven behavior planning method. The virtual sensors are designed to detect the states of the smart house and its living agents. The sensed datasets simulate long-term interaction results for ubiquitous computing researchers, reducing the testing costs associated with smart house architecture evaluation. © 2016 Elsevier B.V.

KW - Autonomous agent

KW - Behavior planning

KW - GUI tool

KW - Ubiquitous computing

KW - Virtual environment

KW - Artificial intelligence

KW - Graphical user interfaces

KW - Houses

KW - Internet of things

KW - Quality control

KW - Simulators

KW - Software testing

KW - User interfaces

KW - Virtual reality

KW - Architecture evaluation

KW - Artificial intelligence agent

KW - Graphical user interfaces (GUI)

KW - GUI tools

KW - Internet of Things (IOT)

KW - Threedimensional (3-d)

KW - Ubiquitous environments

KW - Autonomous agents

KW - Article

KW - artificial intelligence

KW - biosensor

KW - computer interface

KW - controlled study

KW - Internet

KW - Internet of Things based smart house simulator

KW - limit of quantitation

KW - measurement accuracy

KW - priority journal

KW - simulation

KW - simulator

U2 - 10.1016/j.neucom.2015.04.130

DO - 10.1016/j.neucom.2015.04.130

M3 - Journal article

VL - 209

SP - 14

EP - 24

JO - Neurocomputing

JF - Neurocomputing

SN - 0925-2312

ER -