1. How to submit my research paper? What’s the process of publication of my paper?
The journal receives submitted manuscripts via email only. Please submit your research paper in .doc or .pdf format to the submission email: jiii@ejournal.net.
2. Can I submit an abstract?
The journal publishes full research papers...[Read More]

Finding Days-of-week Representation for Intelligent Machine Usage Profiling

Chiming Chang 1, Paul-Armand Verhaegen 1, Joost R. Duflou 1, Madalina M. Drugan 2, and Ann Nowe 2
1. Centre for Industrial Management, Department of Mechanical Engineering, KU Leuven, Belgium
2. Computational Modelling Lab, Artificial Intelligence, Vrije Universiteit Brussels, Belgium
Abstract—Usage profiles of a smart appliance predict how the machine is expected to interact with its users according to its usage history, but, the problem of building usage profiles has been scarcely discussed in the literature. In this paper, we discuss general aspects of generating usage profiles and propose a daily pattern based probability model for usage profiling. We show how the probability models can be learned with Bayesian network classifiers and we highlight the importance of finding the optimal days-of-the-week representation. An algorithm using the conditional log-likelihood minimum description length (CMDL) and hierarchical clustering is designed to find the representation. The learned model is then used in a Bayesian network classifier setting to predict usage profiles. The methodology is tested on areal-life dataset of office printers in a campus environment.

Index Terms—usage profile, MDL, Bayesian network classifier, days-of-the-week, smart home

Cite: Chiming Chang, Paul-Armand Verhaegen, Joost R. Duflou, Madalina M. Drugan, and Ann Nowe, "Finding Days-of-week Representation for Intelligent Machine Usage Profiling," Journal of Industrial and Intelligent Information, Vol.1, No.3, pp. 148-154, September 2013. doi: 10.12720/jiii.1.3.148-154
Copyright © 2012-2022 Journal of Industrial and Intelligent Information, All Rights Reserved