Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : Arduino Uno

Wheelchair Movement Based on Convolution Neural Network

Maisaa Kodher; Jammila H. Saud; Hani S. Hassan

Engineering and Technology Journal, 2021, Volume 39, Issue 6, Pages 1019-1030
DOI: 10.30684/etj.v39i6.1615

This paper intends to develop a methodology for helping amputees and crippled people old, by ongoing voice direction and association between patient and personal computer (PC) where these blends offer a promising response for helping the debilitated people. The major objective of this work is accurately detected audio orders via a microphone of an English language (go, stop, right and left) in a noisy environment by the proposed system. Thus, a patient that utilizes the proposed system can be controlling a wheelchair movement. The venture depends on preparing an off-line dataset of audio files are included 10000 orders and background noise. The proposed system has two important steps of preprocessing to get accurate of specific audio orders, accordingly, the accurate direction of wheelchair movement. Firstly, a dataset was preprocessed to reduce ambient noise by using Butterworth (cutoff 500-5000 Hz) and Wiener filter. Secondly, in the input (a microphone) of the proposed discriminative model put a procedure of infinite impulse response filter (Butterworth), passband filter for cutoff input microphone from 150-7000 Hz for back-off the loud and environment noise and local polynomial approximation (Savitzky-Golay) smoothing filter that plays out a polynomial regression on the signal values. Thus, a better for filtering from ambient noise and keeping on a waveform from distortion that makes the discriminative model accurate when voice orders were recognized. The proposed system can work with various situations and speeds for steering; forward, stop, left and right. All datasets are trained by using deep learning with specific parameters of a convolutional neural network (CNN). These capacities are dependent on code written in MATLAB. The prototype uses Arduino UNO and a microphone (MIC)

Design and Implementation of WLAN Based ZigBee for Personal Identification

Mohmmod Mosleh; Zahraa I. Saber

Engineering and Technology Journal, 2018, Volume 36, Issue 8A, Pages 919-924
DOI: 10.30684/etj.36.8A.12

In this research, a novel Wireless Local Area Network (WLAN) that can be used for personal identification has been proposed in order to control the entering of any building or facility for safety applications. The network consists of three parts; node carrying by authorized persons, Base Station (BS) to control the entering and gate controller. A Personal Computer (PC), which represented the BS, will display automatically some information like picture and state about the person that entered when he/she becomes in BS coverage area. The gate controller of protected building is received a command of PC after matching the data onto entire person and open by a period to allow only one person to pass the gate after being sensed by Human sensor of controller. While preventing any other body by maintaining the gate in case of closure and show alarm. For the experimental purpose, the control of the gate is virtually assumed as Light-Emitting Diode (LED) to represent the opening and closing by lighting and closing the LED respectively. An Arduino Uno is used as microcontroller and ZigBee S2 is used for communication link, because of their simplicity, small size and low cost. Results of running the proposed model confirmed that it could effectively and accurately control the entry and exit of people authorized to enter the important formation and recording the date and time of entry and exit form the need for intervention by people. On the other hand, it can easily review any person files and show his/her daily attendance.

The Effect of Speed Smart Control System SSCS on the Performance of Hydropower System

T.Z. Farge; A.J. Owaid; M.A. Qasim

Engineering and Technology Journal, 2017, Volume 35, Issue 6, Pages 602-608
DOI: 10.30684/etj.35.6A.7

In this work, the speed smart control system is designed and implemented to improve and enhance the performance of hydropower system, where Arduino Uno R3 microcontroller is used for this propose. The speed smart control system is used to control the volume flow rate of water with respect to the load applied to the Pelton turbine shaft at optimum range of speed. Using nozzle outlet diameter of 8.87 mm. A water pump is used to generate the volume flow rate and pressure head. The results show that the maximum reduction in the hydraulic power was observed at zero torque, where the percentage reduction in the hydraulic power was equal to 87.33% when using speed smart control system. Also the optimum torque for maximum brake power and efficiency of Pelton turbine system have been increased when using a speed smart control system, where the percentage increasing was about 28.15%.Comparing result with and without using smart control system shows the percentage increased in the brake power and efficiency of Pelton turbine system were 26.3% and 35% respectively at the optimum torque for maximum brake power and efficiency of Pelton turbine system. Time response was four seconds to achieve a steady state for the rotational speed of Pelton turbine.

ARDUINO Microcontroller Based Building Security System

I. Abdul-Rahman; J.N. Shehab; H.R. Hatem

Engineering and Technology Journal, 2017, Volume 35, Issue 5, Pages 532-536
DOI: 10.30684/etj.35.5A.13

This work aims to protect homes against danger, damage, and any criminal activity using Passive Infrared (PIR) and LASER sensors. Depending on cutting beam that emitted from the laser source or from PIR, there are three cases to warn; the first case (without GSM (Global System Mobile)) to issue a warning aerobically by sound. The second case (with GSM modem and Arduino), will be sent a warning SMS (Short Message Service) directly to the user through GSM Networks. In addition, final case with GSM and Arduino, gives the order to the phone (Nokia 6500) snapped a picture and is sent to the user depending on GSM networking MMS (Multimedia Message Service). The LASER sensor is used to detect any move depending on cutting beam. The PIR is used to detect a human body. In addition, the devise cannot work until activated by the user through the password (to activate protection device) as well as confidential in the same way it is closed. This system is built with open source hardware (Arduino uno 328). Beside to software has been the use of Micro C language in programming microcontroller (Arduino uno 328) addition to Proteus program to simulate the work of Ardino.