Laith Ali Abdul-Rahaim
University of Babylon

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Journal : International Journal of Electrical and Computer Engineering

Design and implement of robotic arm and control of moving via IoT with Arduino ESP32 Anwer Sabah Ahmed; Heyam A. Marzog; Laith Ali Abdul-Rahaim
International Journal of Electrical and Computer Engineering (IJECE) Vol 11, No 5: October 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v11i5.pp3924-3933

Abstract

Every day, the technologies are expanding and developed with extra things to them. A cloud computing (CC) and Internet of things (IoT) became deeply associated with technologies of the internet of future with one supply the other a way helping it for the successful. Arduino microcontroller is used to design robotic arm to pick and place the objects by the web page commands that can be used in many industrials. It can pick and place an object from source to destination and drive the screws in into its position safely. The robot arm is controlled using web page designed by (html) language which contain the dashboard that give the commands to move the servos in the desired angle to get the aimed direction accordingly. At the receiver end there are four servo motors which are made to be interfaced with the micro controller (Arduino) which is connected to the wireless network router. One of these is for the arm horizontally movement and two for arm knee, while the fourth is for catch tings or tight movement. Two ultra-sonic sensors are used for limiting the operation area of the robotic arm. Finally, Proteus program is used for the simulation the controlling of robot before the hardware installation
Automation conditions of mobile base station shelter via cloud and IoT computing applications Ahmed Hussein Shatti; Haider Ali Hasson; Laith Ali Abdul-Rahaim
International Journal of Electrical and Computer Engineering (IJECE) Vol 11, No 5: October 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v11i5.pp4550-4557

Abstract

In this paper, a monitoring and controlling process of the mobile base station shelter has been implemented. We have proposed a model that is based on a firebase cloud service and the principle of the internet of things (IoT) to carry out the process of automation. In this model, we have used Raspberry Pi 4 as the main microcontroller of our system that has interacted with a DHT11 Humidity-Temperature sensor and a PIR motion sensor. It's found that the Pi4 module provides efficient analysis, low consumption of power, and effective control of the operation. It turns ON/OFF the electrical appliances automatically inside the shelter. The main advantage of our proposed model is to maintain the temperature and humidity degrees inside the shelter within the required range of operation. Another important advantage is to diminish the tall human exertion level behind the monitoring process throughout the day. The model has been tested through a localhost server via an HTML page. The last one was created with the assistance of HTML and CSS languages to be used as a local user interface. Moreover, the Raspberry Pi 4 was programmed by Python Language to catch up on the reading of the sensors, processes the data, and sends it to the cloud service. Finally, those data will be shown in real-time to the authenticated user on the database of the firebase cloud service.
Efficient systematic turbo polar decoding based on optimized scaling factor and early termination mechanism Ahmed A. Hamad; Mohammed Taih Gatte; Laith Ali Abdul-Rahaim
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 1: February 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i1.pp629-637

Abstract

In this paper, an efficient early termination (ET) mechanism for systematic turbo-polar code (STPC) based on optimal estimation of scaling factor (SF) is proposed. The gradient of the regression line which best fits the distance between a priori and extrinsic information is used to estimate the SF. The multiplication of the extrinsic information by the proposed SF presents effectiveness in resolving the correlation issue between intrinsic and extrinsic reliability information traded between the two typical parallel concatenated soft-cancellation (SCAN) decoders. It is shown that the SF has improved the conventional STPC by about 0.3 dB with an interleaver length of 64 bits, and about 1 dB over the systematic polar code (SPC) at a bit error rate (BER) of . A new scheme is proposed as a stopping criterion, which is mainly based on the estimated value of SF at the second component decoder and the decoded frozen bits for each decoding iteration. It is shown that the proposed ET results in halving the average number of iterations (ANI) without adding considerable complexity. Moreover, the modified codes present comparable results in terms of BER to the codes that utilize fix number of iterations.