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Anemia is a condition in which the hemoglobin (Hb) content becomes less than that of the normal value. In this project, hemoglobin value is estimated using ANN (Artificial Neural Network). Database of blood sample images and their actual Hb values is collected from a local laboratory. Red, green and blue normalized values of images' samples are fed to the ANN as input. Cyanemethemoglobin method based...
Currently, mean subtraction, median removal, singular value decomposition (SVD), Principal component analysis (PCA) and Independent component analysis (ICA) areverypopular approaches to extract the buried target information in presence of clutter and background noise for GPR applications. Clutter and background reduction and detection of low dielectric constant buried object with variable soil conditionsare...
The main objective of this research work is to develop an expert system for the diagnosis and detection of Hepatitis and liver disorders based on various Artificial Neural Networks models. In this research work Artificial Neural Networks models like Back Propagation Algorithm, Probabilistic Neural Networks, Competitive learning Networks, Learning vector quantization and Elman Networks have been used...
Global Positioning System (GPS) is a satellite based navigation system used worldwide to find the user position on or near the earth. The system provides navigation ability to military, civil, and commercial GPS receivers around the world with good accuracy. However, if the signals transmitted by the GPS satellites are lost temporarily due to varying atmospheric conditions, satellite health problems...
Accuracy in financial forecasting is a key determinant of profits in the financial markets. This paper proposes improvements to existing Artificial Neural Network based forecasting approaches using de-noising in frequency domain and the Hodrick-Prescott Filter. Traditionally used technical indicators are replaced with open, close, high, and low prices only. Forecasts achieved via these improvements...
In this paper the implementation of a virtual sensor is presented, using an artificial neural network (ANN) in an FPGA system, which will serve to estimate the speed of a DC motor. The acquisition and processing of signals RNA training and detailed architecture implemented in the FPGA is shown. Finally the behavior of the virtual sensor is analyzed in normal and abnormal operating conditions.
Anomalous traffic detection on internet is a major issue of security as per the growth of smart devices and this technology. Several attacks are affecting the systems and deteriorate its computing performance. Intrusion detection system is one of the techniques, which helps to determine the system security, by alarming when intrusion is detected. In this paper performance of NSL-KDD dataset is evaluated...
Recently Pac-Man game has received some attention of AI researchers. Some artificial intelligence researches have been performed with the Pac-Man game. The Monte Carlo, UCT (Upper Confidence Bound for Tree) and DTS (Dynamically Expanding UCT Tree Search) method have some good performances when used in Pac-Man game. However, these methods are based on intensive computation and so they usually could...
This paper presents a new design perception for slave controller in Cascade process control System. It ensures enhanced robustness by minimizing the physical presence of slave controller in the cascaded loops. The desired outputs are trained by ANN using BPN. A Level and flow measurement system is taken as an experimental set up. The level controller is the master controller and the flow is the slave...
This paper presents a new design perception for slave controller in Cascade process control System. It ensures enhanced robustness by minimizing the physical presence of slave controller in the cascaded loops. The desired outputs are trained by ANN using BPN. A Level and flow measurement system is taken as an experimental set up. The level controller is the master controller and the flow is the slave...
The main objective of this paper is to perform data analysis of ground based measurement and review the state of the art of IIT Jodhpur Rooftop solar photovoltaic installed 101 kW system. Solar power forecasting is playing a key role in solar PV park installation, operation and accurate solar power dispatchability as well as scheduling. Solar Power varies with time and geographical locations and meteorological...
The entire process of face detection, identification and localization of faces should preferably be almost orientation or rotation invariant. The present paper aims to design one optimal Back Propagation (BP) Network model to perform these face identification tasks. The task is partially independent of orientation or rotation of the faces in the image. Also the identification rate of the faces is...
The goal of this project is thus to experiment with ANNs and to evaluate performance of ANN models in studying stock price patterns in time by attempting to predict future results of a time-series by simply studying patterns in the time-series of stock prices. In this project we have instantiated the proposed Neural Network using the stock prices of Iran Tractor Manufacturing Company during two years...
The neural network is popular and mature tools in many scopes. However, the interact effect of artificial neural network (ANN) are not clearly. In this study, the hand gesture recognition system (HGRS) that has been developed by artificial neural network was been tested for discussing the relationship of parameters. The study selects four parameters: the number of neurons lays features and learn rates...
In this paper, we used ICA based artificial neural network (ANN) and propose a robust technique for efficient 2D echocardiography image analyzing. This project can be divided in three parts. The first part is cardiac motion estimation from sequence of echocardiography. The second part is feature extraction from motion patterns using sources, these sources is derived from independent component analyzing...
The field of electronic noses and gas sensing has been developing rapidly since the introduction of the silicon based sensors. There are numerous systems that can detect and indicate the level of a specific gas. We introduce here a system that is low power, small and cheap enough to be used in mobile robotic platforms while still being accurate and reliable enough for confident use. The design is...
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