In recent years, driver behavior analysis plays a vital role to enhance passenger coverage and management resources in the smart transportation system. The real-world environment possesses the driver principles contains a lot of information like…
This paper presents a hybrid prediction and search approach (HPS) for building visualization systems of big data. The basic idea is training a regression model to predict a coarse range on the dataset and then searching target records that satisfy…
Petroleum is the live wire of modern technology and its operations, with economic development being positively linked to petroleum consumption. Many meta-heuristic algorithms have been proposed in literature for the optimization of Neural Network…
This paper presents a custom designed in-pipe inspection robot that is developed for a pipe of diameter 0.203 m, commonly found in the oil and gas industry. Several pressure sensors are incorporated on board the robot that are used for detecting…
Fugitive natural gas leaks from abnormal operations or failed containment at oil and gas production fields and gas supply chains are a significant source of atmospheric methane (CH4), a potent greenhouse gas. This realization of significant CH4 leaks…
The objectives of this study were the following: (1) to investigate the correlations between data collected through Internet of Thing (IOT) and unintentional behavior of drivers (2) to create the models based on machine learning techniques to…
When under production, after harvest ‚curing and redrying, tobacco lamina also need a mellowing process in the warehouse of not less than 24 months to achieve naturally mellowy, during which certain temperature and humidity is needed. In the…
Modern power systems rely on renewable energy sources and distributed generation systems more than ever before. The combination of those two along with the advanced energy storage systems contributed widely to the development of microgrids (MGs).…
The objectives of this study were the following: (1) to investigate the correlations between data collected through Internet of Thing (IOT) and unintentional behavior of drivers (2) to create the models based on machine learning techniques to…
In the underwater crude oil storage system which adopts oil-water separation method, in order to keep the oil fluid, make the oil storage and transport running smoothly, the oil temperature control becomes a crucial consideration. Measuring…
Based on the wax deposition data, the paraffin deposition law for three kinds of crude oil in spots are summarized and the relationship between the wax deposition rate and its influence factors are developed for single oil. The BP neural network is…
In the present work, artificial neural networks (ANN) has been used for developing a comprehensive model for predicting flash point (FP) of petroleum fuels containing the following oxygenated chemical classes: alcohols, ethers, aldehydes, ketones and…
This chapter initially covers the definition and main elements of artificial neural networks and how they were originally developed from the behavior of biological neurons. Then the theory behind how neural network finds the pattern between input and…
The performance evaluation of 1.26 kW fuel cell fed electric vehicle system with reconfigured Quadratic Boost Converter along with the neural network based maximum power point tracking algorithm is presented in this paper. The acceptance of EV in…
The performance evaluation of 1.26 kW fuel cell fed electric vehicle system with reconfigured Quadratic Boost Converter along with the neural network based maximum power point tracking algorithm is presented in this paper. The acceptance of EV in…