Analysis of artificial intelligence application using back propagation neural network and fuzzy logic controller on wall-following autonomous mobile robot

A Budianto, R Pangabidin, M Syai'In… - … on Electronics and …, 2017 - ieeexplore.ieee.org
This paper presents a comparison of two methods of artificial intelligence which applied in
Wallfollowing Autonomous Mobile Robot; both of them are Neural Network …

Extreme learning machine and back propagation neural network comparison for temperature and humidity control of oyster mushroom based on microcontroller

GM Fuady, AH Turoobi, MN Majdi… - … on Electronics and …, 2017 - ieeexplore.ieee.org
This paper presents design and experimental studies of Extreme Learning Machine (ELM) to
control temperature and humidity of oyster mushroom farm house. The ideal temperature to …

Design of deaerator storage tank level control system at industrial steam power plant with comparison of Neural Network (NN) and Extreme Learning Machine (ELM) …

WP Mahardhika, A Soeprijanto, M Syaiin… - … on Electronics and …, 2017 - ieeexplore.ieee.org
This paper has proposed a prototype of a control system in deaerator storage tank level at
Industrial Steam Power Plant based on artificial intelligence (AI). There are two kind …

Prototype control and monitoring system safety device from leakage ammonia at marine loading arm with comparison of Neural Network (NN) and Extreme Learning …

PO Hanggara, M Syai'In, PF Paradisa… - … on Electronics and …, 2017 - ieeexplore.ieee.org
This paper presents design and research studies in marine loading arm plant system.
Artificial Neural Network (NN) and ELM (Extreme Learning Machine) methods are used and …

Robust microgrid power flow using particle swarm optimization

KL Lian, M Syai'in, CL Liu, TD Huang… - … 2013 (ISNCC 2013), 2013 - ieeexplore.ieee.org
The proliferation of distributed generators (DGs) has altered a distribution network from a
passive system to an active one. Therefore, power flow originally developed for the passive …

Optimization of power coefficient (Cp) in variable low rated speed wind turbine using increamental Particle Swarm Optimization (IPSO)

A Haydlaar, A Musyafa, A Soeprijanto… - … on Electronics and …, 2017 - ieeexplore.ieee.org
Renewable Energy became a popular topic at the beginning of the third millennium in order
to seek an alternative energy and it is expected to be environmental friendly. This is caused …

CLC (Cellular Lightweight Concrete) brick making process using neural network and extreme learning method based on microcontroller and Visual Studio. Net

DP Utomo, BW Perdami, A Pamungkas… - … on Electronics and …, 2017 - ieeexplore.ieee.org
In today's era the technology development is growing so fast and change the system that
was originally manual into a system that all operate completely automated. By automating a …

[PDF][PDF] A hybrid particle swarm optimization approach for load-flow computation

CP Salomon, G Lambert-Torres, LEB da Silva… - International Journal of …, 2013 - ijicic.org
This paper presents a hybrid particle swarm based methodology for solving load flow in
electrical power systems. Load flow is an electrical engineering well-known problem which …

Smart vending machine based on SMS gateway for general transactions

SMS Arifin, M Syai'In, J Endrasmono… - … on Quality in …, 2017 - ieeexplore.ieee.org
This paper presents design and experimental studies of vending machine for office
stationery Transactions. The advantage of the proposed vending machine ie Transaction …

A novel distributed particle swarm optimization algorithm for the optimal power flow problem

N Gionfra, G Sandou, H Siguerdidjane… - … IEEE Conference on …, 2017 - ieeexplore.ieee.org
The distributed optimal power flow problem is addressed. No assumptions on the problem
cost function, and network topology are needed to solve the optimization problem. A …