Abstract
These days systems for housework automation become more and more popular, as well as a trend of intelligent households develops. This paper deals with description of problems while creating a mobile application intended to facilitate the household care in area of drying clothes. The application uses technology of acquiring user’s location by GPS or Wi-Fi module and communication with a web service. This paper focuses particularly on fundamental application functionality, which is a recommendation, whether it is advisable to hang outside clothes that just have been washed and for how long. The calculation of the time when the laundry will be dry depends on many variables, including detected weather in the given area. The problem was solved using a calculation of absorbing water into air, which unwinds of formulas for calculation of water vapour pressure. Therefore the result of the project is an application using the abovementioned calculations for practical simplification of household care.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Corral, L., Sillitti, A., Succi, G.: Mobile multiplatform development: an experiment for performance analysis. In: Procedia Computer Science, vol. 10, pp. 736–743 (2012). doi:10.1016/j.procs.2012.06.094
Daiky, H., Tsutomu, M., Kazuki, M., Avaneysan, K.: A study of laundry tidiness: laundry state determination using video and 3d sensors. Energy Build. 127(1), 19 (2016). doi:10.1007/978-3-662-46742-8_2
Kakuzki, M., Tsutomu, M., Daihi, H., Avanesyan, K.: A study of laundry tidiness: socks pairing using video and 3D sensors. Energy Build. 127(1), 303 (2016). doi:10.1007/978-3-662-46742-8_28
Park, C.H., Chung, S.E., Yun, C.S.: Effect of drying condition on the electrostatic characteristics of the laundry. Fibers Polym. 8(4), 432–437 (2007). doi:10.1007/BF02875834
Zakinyan, R., Zakinyan, A., Ryzhkov, R., Avaneysan, K.: Convection of moist saturated air: analytical study. Atmosphere 7(1), 8 (2016). doi:10.3390/atmos7010008. [cit. 2017-01-03]
Drying Rack (Weather). In: Google Play. Google (2017). https://play.google.com/store/apps/details?id=com.rustedgears.stendipanni&hl=cs. Accessed 03 Jan 2017
Drying Days. In: Google Play Google (2017). https://play.google.com/store/apps/details?id=com.tyrell.dryingdays. Accessed 03 Jan 2017
Weather Timeline - Forecast. In: Google Play Google (2017). https://play.google.com/store/apps/details?id=com.samruston.weather&hl=cs. Accessed 03 Jan 2017
Rahmayanti, H.D., Utami, F.D., Abdullah, M.: Physics model for wringing of wet cloth. Eur. J. Phys. 37(6), 065806 (2016). 10.1088/0143-0807/37/6/065806
Zemitis, J., Borodinecs, A., Frolova, M., Avanesyan, K.: Measurements of moisture production caused by various sources: analytical study. Energy Build. 127(1), 884–891 (2016). doi:10.1016/j.enbuild.2016.06.045
O’Dell, D.R., Carr, W.W.: Effect of humidity on the drying rates of carpet tiles. Text. Res. J. 66(6), 366–376 (1996). doi:10.1177/004051759606600603
Sobeslav, V., Maresova, P., Krejcar, O., Costa Franca, T.C., Kuca, K.: Use of cloud computing in biomedicine. J. Biomol. Struct. Dyn. 34(12), 2688–2697 (2016)
Klimova, B., Maresova, P.: Computer-based training programs for older people with mild cognitive impairment and/or dementia. Front. Hum. Neurosci. 11(1), 1–9 (2017). ISSN 1662-5161
Klimova, B., Maresova, P., Kuca, K.: Assistive technologies for managing language disorders in dementia. Neuropsychiatr. Dis. Treat. 12(1), 533–540 (2016)
Benikovsky, J., Brida, P., Machaj, J.: Proposal of user adaptive modular localization system for ubiquitous positioning. In: Pan, J.-S., Chen, S.-M., Nguyen, N.T. (eds.) ACIIDS 2012. LNCS, vol. 7197, pp. 391–400. Springer, Heidelberg (2012). doi:10.1007/978-3-642-28490-8_41
Behan, M., Krejcar, O.: Modern smart device-based concept of sensoric networks. EURASIP J. Wirel. Commun. Netw. 155, 2013 (2013)
Novotny, J., Dvorak, J., Krejcar, O.: User based intelligent adaptation of five in a row game for android based on the data from the front camera. In: Paolis, L.T., Mongelli, A. (eds.) AVR 2016. LNCS, vol. 9768, pp. 133–149. Springer, Cham (2016). doi:10.1007/978-3-319-40621-3_9
Novotny, J., Dvorak, J., Krejcar, O.: Face-based difficulty adjustment for the game five in a row. In: Younas, M., Awan, I., Kryvinska, N., Strauss, C., Thanh, D. (eds.) MobiWIS 2016. LNCS, vol. 9847, pp. 121–134. Springer, Cham (2016). doi:10.1007/978-3-319-44215-0_10
Acknowledgement
This work and the contribution were supported by project “SP-2102-2017- Smart Solutions for Ubiquitous Computing Environments” Faculty of Informatics and Management, University of Hradec Kralove, Czech Republic.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Stastna, M., Dvorak, J., Selamat, A., Krejcar, O. (2017). Prediction of Conditions for Drying Clothes Based on Area and Temperature Data. In: Younas, M., Awan, I., Holubova, I. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2017. Lecture Notes in Computer Science(), vol 10486. Springer, Cham. https://doi.org/10.1007/978-3-319-65515-4_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-65515-4_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-65514-7
Online ISBN: 978-3-319-65515-4
eBook Packages: Computer ScienceComputer Science (R0)