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INDONESIA
Bulletin of Electrical Engineering and Informatics
Published by IAES Indonesia Section and Partners
ISSN : -     EISSN : -     DOI : -
Core Subject : Engineering,
Electrical & Electronics Engineering
Arjuna Subject : -
Articles 22 Documents
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Search results for , issue "Vol 7, No 4: December 2018" : 22 Documents clear
Curtain Control Systems Development on Mesh Wireless Network of the Smart Home Trio Adiono; Sinantya Feranti Anindya; Syifaul Fuada; Maulana Yusuf Fathany
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (702.323 KB) | DOI: 10.11591/eei.v7i4.1199

Abstract

In this paper, a curtain controller for smart home is presented. The aim of this work is to develop an end device in smart home system that will support power conservation function indirectly, specifically a curtain open/close controller. To achieve this, the 28BYJ-48 stepper motor is used as actuator with the assistance of ULN2003A driver. The motor is controlled using STM32L100RCT6 microcontroller, which is chosen due to its low power consumption. The microcontroller controls the motor’s direction by using a pulse width modulation logic signals emitted from four GPIO pins, which works based on data transmitted from central host through ZigBee protocol on Mesh network. Meanwhile, from the user’s side, the control is done by using Android-based application, which is connected to central host through Bluetooth. Based on the testing conducted on a miniature curtain, the curtain can be controlled wirelessly through the Android application. Furthermore, the device consumes power 210.5 mW for idle condition and 1,586 mW for process condition. The amount of the consumed power makes it suitable for low-power operation and in alignment with the smart home system’s overall aim for power conservation in the wireless sensor network-based smart home system.
Local Entropy and Standard Deviation for Facial Expressions Recognition in Thermal Imaging Yomna M. Elbarawy; Rania S. El-Sayed; Neveen I. Ghali
Bulletin of Electrical Engineering and Informatics Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v7i4.1230

Abstract

Emotional reactions are the best way to express human attitude and thermal imaging mainly used to utilize detection of temperature variations as in detecting spatial and temporal variation in the water status of grapevine. By merging the two facts this paper presents the Discrete Cosine Transform (DCT) with Local Entropy (LE) and Local Standard Deviation (LSD) features as an efficient filters for investigating human emotional state in thermal images. Two well known classifiers, K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) were combined with the earlier features and applied over a database with variant illumination, as well as occlusion by glasses and poses to generate a recognition model of facial expressions in thermal images. KNN based on DCT and LE gives the best accuracy compared with other classifier and features results.

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