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Abdulrahman Abdullah Alkandari
Computer Department, Basic Education College, PAAET

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Trash Basket Sensor Notification Using Arduino with Android Application Adel ALFoudery; Abdulrahman Abdullah Alkandari; Nayfah Mohsen Almutairi
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 1: April 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i1.pp120-128

Abstract

The protection of society and environment from garbage accumulation and its polluting effects is carried by waste management companies, the services provided by these companies are improving life overall quality. By preserving raw materials, proper collecting and elimination of trash have reduced pollution and environmental impact. On the other hand, areas which are suffered from inappropriate negative service appreciate the garbage collector’s valuable efforts. Appropriate garbage collection and management facilities have made a recycling process improvement which caused a reduction in waste generation. Also controlling the released contaminators and pollutants has decreased the impact on landfills and protected the environment from the pollution negative effects. Using mobile and electronic technology to enable waste management companies to finish its work and make it easier for collecting trash in a simple and an easy way. We introduce Trash Sensor Android Application to help waste management companies detect trash levels to collect it and help citizens from undesired odours.
Implementation of Dynamic Fuzzy Logic Control of Traffic Light with Accident Detection and Action System using iTraffic Simulation Abdulrahman Abdullah Alkandari; Imad Fakhri Al-Shaikhli
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 1: April 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i1.pp100-109

Abstract

Traffic is one of the most common issues in the big cities around the world. Thus, develop and improve the traffic light control systems became the focus of recent studies. To solve the problem, we proposed a dynamic hybrid fuzzy logic control system that is further branched into two separate systems: An Accident Detection system and an Action system that is intended to solve the congestion related to the vehicular traffic. The primary target of this paper is to discuss the Action system, which depends on the Accident Detection system. This paper explained the two parts of the Action system. It showed the improvement of the Action system with %9.32 in total car crossed. It also presented different scenarios using iTraffic simulation and description of each scenario is displayed with details about the road variables and the simulation results with and without the action system.
Implementation of Monitoring System for Air Quality using Raspberry PI: Experimental Study Abdulrahman Abdullah Alkandari; Samer Moein
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 1: April 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i1.pp43-49

Abstract

Because of rising dependency on fossil fuels, and rising amounts of toxic gases in the environment, it found that people are in need of a way to ensure the safety specifically those that live in cities. An approach is suggested in this paper, that is economical yet affords good detection, and can give accurate readings that can be analyzed and manipulated, and can even provide warnings through sending emails. These requirements are found in the Raspberry Pi when it hooked up to the sensors. This paper was focused on few dangerous gases such as Carbon Monoxide (CO), Nitrogen Dioxide (NO2) and other gases. The results in this paper showed that some gases, specifically CO, may be a problem in Kuwait as it is always slightly below the warning level. The success with the Raspberry Pi and the results were encouraging to open the way for much improvement in the future.
Co-Authors Adel ALFoudery Imad Fakhri Al-Shaikhli Nayfah Mohsen Almutairi Samer Moein