Article Per Year (5 Year)
p-Index From 2019 - 2024
0
P-Index
This Author published in this journals
All Journal IAES International Journal of Robotics and Automation (IJRA) International Journal of Applied Power Engineering (IJAPE) International Journal of Evaluation and Research in Education (IJERE) Indonesian Journal of Electrical Engineering and Computer Science
G.H. Massiha
University of Louisiana at Lafayette
Automotive Engineering Education Electrical & Electronics Engineering

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Material Handling and Assembly Process Optimization using Value Stream Mapping Daniel Derrell Forest; G.H. Massiha
IAES International Journal of Robotics and Automation (IJRA) Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (599.844 KB) | DOI: 10.11591/ijra.v6i1.pp59-68

Abstract

The purpose of this project is to evaluate and optimize an assembly process for ergonomic and productivity considerations. Companies use lean manufacturing as a method for continuous improvement in order to increase throughput and for to reallocate resources for more important tasks. For this project, value stream mapping (VSM) was used to evaluate, analyze, and improve the ergonomic factors of an assembly process and to increasing throughput. With the use of VSM, researchers are able to see the areas of added value, non-added value, and bottlenecks. This project illustrates the implementation of VSM for the minimization of waste, by using the design method to restructure the process of assembly. The results show drastic improvement in assembly time and ergonomic workplace design, while providing a platform for a continuous improvement system.
From CAD to Robot: Undergraduate Capstone Design in Engineering Technology Kuldeep S. Rawat; G.H. Massiha
IAES International Journal of Robotics and Automation (IJRA) Vol 2, No 4: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (870.746 KB) | DOI: 10.11591/ijra.v2i4.pp140-148

Abstract

A novel senior project in designing and implementing a wheeled platform-based experimental mobile robot is discussed. This mobile robot design project was used as a platform to learn sensor interfacing, microcontroller programming, motor control, and electronic circuit design and troubleshooting. A specially designed proto board was used so that students could experiment with various types of sensors and supporting electronic circuitry. The modules implemented in this project are, servo motor control, infrared (IR)-based obstacle detection and avoidance, temperature sensing, and IR wireless communication. An 8-bit Peripheral Interface Controller (PIC) microcontroller, operating at 20MHz, was used as a programmable controller to monitor external environment through sensors and make appropriate decisions. PIC microcontroller was programmed using PICBasic PRO, a BASIC like high-level language. The implementation was divided into separate experiments, through which the students progressively completed the mobile robot. This progressive experimentation helped students develop their knowledge of interfacing, microcontroller programming, electronic control, circuit design, and troubleshooting in an incremental manner. The robot design experiments, sensor interfacing, electronic control, supporting circuitry, problems faced and troubleshooting during implementation are discussed in the paper.
Pilot Solar Thermal Power Plant Station in Southwest Louisiana Terrence Chambers; Jonathan R Raush; G.H. Massiha
International Journal of Applied Power Engineering (IJAPE) Vol 2, No 1: April 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (494.897 KB) | DOI: 10.11591/ijape.v2.i1.pp45-52

Abstract

Solar thermal plants are basically power plants that generate electricity from high-temperature heat. The difference between them and conventional power plants is that instead of deriving energy from gas, coal or oil, the sun provides the energy that drives the turbines. In this paper we will give a brief demonstration of solar thermal power and different system designs of solar thermal power plants. Then we will see the feasibility of implementing solar power plants in Louisiana which currently depends mostly on its conventional power plants which use traditional fuels such as gas, oil, and coal.  This study was a part of a proposal that was funded by the US the Department of Energy to construct solar thermal plant near Lafayette, Louisiana. The power plant is currently under the construction and it will be completed by Summer of 2013.
Online Resources in MEMS Technology for Professional and Educational Development Matthias W. Pleil; G.H. Massiha
International Journal of Evaluation and Research in Education (IJERE) Vol 3, No 1: March 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1056.073 KB)

Abstract

Over the last twenty years, the National Science Foundation (NSF) through its Advanced Technological Education (ATE) program has funded many ATE centers across the United State of America to advance the technician level work force in the Country. One of these centers is the Southwest Center for Microsystems Education (SCME) located at the University of New Mexico. The SCME offers educational materials and professional development at no cost.  These materials and professional development opportunities include sponsored conferences, downloadable written materials for instructors and students, YouTube channels providing lectures, animations and videos, hands-on kits for the classroom, micro and nano films, webinars, online distance learning courses and mentoring opportunities for educators.DOI: http://dx.doi.org/10.11591/ijere.v3i1.5841
Hardware Implementation of FIR Neural Network for Applications in Time Series Data Prediction Kuldeep S. Rawat; G.H. Massiha
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Time series data prediction is used in several applications in the area of science and engineering. Time series prediction models have been implemented using statistical approaches, but recently, neural networks are being applied for times series prediction due to their inherent properties and capabilities. A variation of a standard neural network called as finite impulse response (FIR) neural network has proven to be highly successful in achieving higher degree of prediction accuracy when used over various time series prediction applications. These applications are time critical and involve huge amounts of computation that are slower when run on a general purpose processor and hence, a dedicated hardware is required. In this paper, authors present hardware implementation of an FIR neural network for applications in times series data prediction. The implementation is divided into (i) off-board, where the training algorithm and neural network configuration is implemented in Matrix Laboratory (MATLAB) and simulated with various benchmark time series data set and (ii) on-board, where the entire system is modeled in a hardware description language (HDL). The simulation experiment, hardware building blocks, the implementation framework, and the hardware design flow are discussed in this paper. The hardware resource utilization and timing information are also reported in the paper. DOI: http://dx.doi.org/10.11591/telkomnika.v14i1.7272 
Co-Authors Daniel Derrell Forest Jonathan R Raush Kuldeep S. Rawat Matthias W. Pleil Terrence Chambers