Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Firas B. Ismail Alnaimi is active.

Publication


Featured researches published by Firas B. Ismail Alnaimi.


ieee/sice international symposium on system integration | 2014

Hybrid renewable power system for agriculture irrigation system

Firas B. Ismail Alnaimi; Yee Chaw Chu; Khairul Salleh Mohamed Sahari

The used of the non-renewable energy systems for agriculture irrigation has brought up lots of disadvantages to the environment as well as the public. Environmental friendly, lesser cost and sustainable development are the factors that have not been achieved by the current systems. In order to encounter this problem a stirling engine system, which utilizes the solar energy as its resources and releases no exhaust to the environment is proposed in this paper. The power system is connected to a water pump to work as the agriculture irrigation system. Stirling engine uses the theory of compression and expansion of a fluid and its working principle varies on the differences of the temperature of the fluid on two sides. The solar power is focused through a solar concentrator and then absorbed by the absorber of the stirling engine to heat up the temperature for the fluid at one side. A solar tracker is installed on the solar concentrator to increase the amount of the sunlight absorbed. There are several sensors used in order to collect data such as: temperature sensor for detecting the difference of the temperature level, IR sensor to calculate the rotational speed of flywheel in stirling engine and flow sensor to determine the water flow rate at the output of the water pump. The monitoring systems for all the variables are created using National Instruments LabVIEW 2012. The developed prototype stirling engine was able to power the water pump to provide an average flow rate of 1.2 l/m. Building on a bigger scale can enhance the performance of the system.


information processing and trusted computing | 2014

RFEC pig designed for long-distance inspection

Ali Ahmadian Mazraeh; Firas B. Ismail Alnaimi; Khairul Salleh Mohamed Sahari

This paper presents an innovative approach for the design and development of Pipeline Inspection Gauge (PIG) which can inspect pipes from 26” up to 50” with a simple change of shirts using the latest technologies such as Electromagnetic Acoustic Transducer (EMAT) sensors as well as Remote Field Eddy Current (RFEC) sensors for oil pipes inspection, through the creation of a simulation tool capable of generating simulated images from pipeline using Inertial Navigation System (INS) for highest accuracy and precision inspection to protect the environment and equipment from any unexpected accident. There are several dynamo motors utilized to regenerate green efficient power from the flow of the medium inside the pipeline to elongate the distance of investigation by the mean of reduction of the number of individual pigging processes to save time and cost for companies. The INS uses accelerometers and gyroscopes of the type “Integrated Micro Electro-Mechanical Systems” (iMEMS), with these it can be carried out the mapping corresponding to the inspected pipes. Water hammer effect is another factor which has been considered during designing this pig. To avoid suck case to occur the design has been revised and several arms has been devised around the robot to maintain the speed and position of pig all the way through the pipeline.


international conference on science in information technology | 2015

An artificial neural network hybrid with wavelet transform for short-term wind speed forecasting: A preliminary case study

Moslem Yousefi; Danial Hooshyar; Milad Yousefi; Weria Khaksar; Khairul Salleh Mohamed Sahari; Firas B. Ismail Alnaimi


International Journal of Advances in Intelligent Informatics | 2015

Short-term wind speed forecasting by an adaptive network- based fuzzy inference system (ANFIS): an attempt towards an ensemble forecasting method

Moslem Yousefi; Danial Hooshyar; Amir Remezani; Khairul Salleh Mohamed Sahari; Weria Khaksar; Firas B. Ismail Alnaimi


international symposium on robotics | 2015

Design of a multi-diameter in-line cleaning and fault detection pipe pigging device

Firas B. Ismail Alnaimi; Ali Ahmadian Mazraeh; Ksm Sahari; K Weria; Y. Moslem


International Journal of Electrical and Computer Engineering | 2018

Coal-Fired Boiler Fault Prediction using Artificial Neural Networks

Nong Nurnie Mohd Nistah; King Hann Lim; Lenin Gopal; Firas B. Ismail Alnaimi


Journal of Petroleum Science and Engineering | 2017

Novel design for PIG to eliminate the effect of hydraulic transients in oil and gas pipelines

Ali Ahmadian Mazreah; Firas B. Ismail Alnaimi; Khairul Salleh Mohamed Sahari


Journal of Energy and Environment | 2016

Development and Implementation of Solar Ventilation Systems for Cars in Malaysia

Firas B. Ismail Alnaimi; Ting Ding Ping; Mohammad Shakir Nasif


International Review of Mechanical Engineering-IREME | 2015

A Comprehensive Review on the Application of Evolutionary Computation in Design Optimization of Plate-Fin Heat Exchangers

Moslem Yousefi; Milad Yousefi; Weria Khaksar; Firas B. Ismail Alnaimi; Amer Nordin Darus


pertanika journal of science and technology | 2014

Intelligent Monitoring Interfaces for Coal Fired Power Plant Boiler Trips: A Review

Nong Nurnie Mohd Nistah; Foad Motalebi; Yudi Samyudia; Firas B. Ismail Alnaimi

Collaboration


Dive into the Firas B. Ismail Alnaimi's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

Moslem Yousefi

Universiti Tenaga Nasional

View shared research outputs
Top Co-Authors

Avatar

Weria Khaksar

Universiti Tenaga Nasional

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Milad Yousefi

Universidade Federal de Minas Gerais

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Amer Nordin Darus

Universiti Teknologi Malaysia

View shared research outputs
Researchain Logo
Decentralizing Knowledge