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Sacramento
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Electrical and Electronic Engineering
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- Creator:
- Modini, Santosh Babu and Arikatla, Sandhya
- Description:
- This project will focus on the application of an advanced electromagnetic simulation software: 4nec2 for the near-field characterization of a 3-element X-band array of waveguide and horn antennas. Previous modeling efforts have shown a significant difference between simulated and measured data. The key effort in this project will be to minimize the difference between simulated and measured data by use of the 4nec2 software. The simulation will be carried out on both a 3-element array of open-ended waveguides and a 3-element array of circular horn antennas. The main application of these arrays is in microwave hyperthermia treatment of tumors by focused heating.
- Resource Type:
- Project
- Campus Tesim:
- Sacramento
- Department:
- Electrical and Electronic Engineering
- Creator:
- Bhatt, Pratik R.
- Description:
- Audio coder using perceptual linear predictive coding is a new technique for compressing and decompressing audio signal. This technique codes only the information of an audio signal, which is audible to the human ear, all other information is discarded during coding. Audio signal is given to a psychoacoustic model to generate information to control the linear prediction filter. At the encoder side, a signal is passed through a prediction filter, and then the filtered signal contains less information as it is coded according to perceptual criteria. At the decoder side, an encoded signal is decoded using a linear prediction filter, which is the inverse of the filter used at the encoder side. The decoded signal is similar to the original signal. Since information from the audio signal relative to the human hear is coded so the signal contains less data and has a high signal to noise ratio. This project is about designing and implementing the MATLAB code for an audio coder using perceptual linear predictive coding. The following tasks were performed in this project. (i) Process the audio signal according to a perceptual model. (ii) Encode and decode the signal using the linear predictor. (iii) Check simulation results for the original audio signal as well as the retrieved audio signal after signal processing. (iv) Listen to the wave file of the original as well as the reconstructed signal.
- Resource Type:
- Project
- Campus Tesim:
- Sacramento
- Department:
- Electrical and Electronic Engineering
- Creator:
- Kapadia, Pramod S.
- Description:
- License Plate Recognition or LPR is an image-processing technology used to identify vehicles by their license plates. This technology is used in various applications involving security, traffic, law enforcement, public safety and transportation sectors. It mainly uses software code that enables computer systems to read automatically the registration number (license number) of vehicles from digital pictures. The project explains various algorithms that are exercised to recognize the characters present on the California Car License Plate. One of them is Template Matching algorithm that has an ability to store the information of a particular size template in the form of four 16-bit vectors and apply it for recognizing the characters. This feature of the algorithm mentioned above helped in achieving faster character recognition of the license plate. This process of character recognition consists of steps like Image processing, Defragmentation, Resizing and Character localization that are required to be performed on the image in order for Template Matching to be done. The final goal of the project was to simulate these algorithms initially on Microsoft Visual Studio using Open CV libraries. Once this was established, the design was transferred on the TI’s video development platform DM6437 DVDP for testing and performance analysis. The earlier mentioned algorithmic steps were written in C programming language and demonstration of the project was successfully presented on the TI’s DSP board EVM320DM6437.
- Resource Type:
- Project
- Campus Tesim:
- Sacramento
- Department:
- Electrical and Electronic Engineering
- Creator:
- Kapadia, Sumit
- Description:
- This project report introduces artificial intelligence based algorithm for classifying fault type and determining fault location on the power system, which can be implemented on a Microprocessor based relay. This new concept relies on a principle of pattern recognition and identifies fault type easily and efficiently. The approach utilizes self-organized, Adaptive Resonance Theory (ART) neural network, combined with K-Nearest-Neighbor (K-NN) decision rule for interpretation of neural network outputs. A selected simplified power network is used to simulate all possible fault scenarios and to generate test cases. An overview model of how this method can be implemented on Hardware is also given. Performance efficiency of this method of fault classification and fault location determination is also computed. Variation of the Neural Network efficiency with different parameters is also studied.
- Resource Type:
- Project
- Campus Tesim:
- Sacramento
- Department:
- Electrical and Electronic Engineering
- Creator:
- Patel, Chintankumar Amrutlal
- Description:
- GSM automation and control has always been interesting and challenging area for me. After searching for adequate amount of time, I found a demanding project in the GSM automation and data logger designing. The aim of this project is to design a data logger system for a real time application such as smart vehicle tracking system and a weather data logger. Today, data loggers systems are popular but they are costly, and are limited in the sense of customer configurability. The design of such a data logger system, which can configure as per customer need is a challenging design and development task. This project will provide usage of historical database and client server architecture and give more flexibility to the users. It can serve as a real time data logger system, which can configure as per customer requirement and give more flexibility in terms of data display and storage of historical data.
- Resource Type:
- Project
- Campus Tesim:
- Sacramento
- Department:
- Electrical and Electronic Engineering
- Creator:
- Patel, Maunank V. and Desai, Nilay K.
- Description:
- As we know our each day to day activity requires electricity, starting from waking up by alarm to using cell phone and computer at work till watching our daily night shows on television, and that comes from the power generation plants, usually called power plant. Main goal of the project is to analyze and diagnosis the main performance parameters and optimize power plant functionality using the fault detection in instruments and plant components, also issuing the replacement, repair or corrective adjustments to the plant instruments. This could be done by continuously collecting data through different parameters like voltage, part’ maximum efficiency, maximum output etc. The outcome of this project and conclusion will be beneficial to the power plant authorities and government authorities to prioritize and effectively maintaining the power plant and its valuable instruments like generator.
- Resource Type:
- Project
- Campus Tesim:
- Sacramento
- Department:
- Electrical and Electronic Engineering
- Creator:
- Syed, Abdul Muqeet and Syed, Atif Ahmed
- Description:
- This project will focus on the thermometric calibration of the heating effects by the 27.12 MHz Mettler Diathermy system on non-hardening clay with digital thermometer of plastic probe for use in Hyperthermia system for the treatment of cancer. The non-hardening clay is chosen so that the electrical properties are identical to the biological human tissue. The experimental study on the Mettler diathermy system will include the adjustments of the head of the applicator and different sizes of clay medium. Our goal would be to achieve the temperature of the treatment within the desired time and to improve the conditions of the experiment and to be more efficient and accurate with the temperature measurements with respect to time.
- Resource Type:
- Project
- Campus Tesim:
- Sacramento
- Department:
- Electrical and Electronic Engineering
- Creator:
- Raval, Pinak
- Description:
- This report will present steps taken in order to develop a “Platform Readiness Test Plan”. The platform readiness test plan will provide assistance to the original equipment manufacturers (OEM) in testing and validating their motherboard robustness prior to production. The test procedure listed in this report assures the customer that their platforms are robust in key areas of design. This report is written mainly for the customer’s product development team so that they follow a correct test procedure and hence validate their platform according to the standards. This test will be the way of gauging the readiness of the customer platform for the launch in the marketplace. Key customers like Hewlett Packard, Dell, ASUS use a customer reference board (CRB) design provided by chip manufacturing companies like Intel, AMD to keep the data consistent and in agreement with the data provided by the vendor. This project presents a test plan, the purpose of which is to uncover the potential issues such as circuit marginality, signal integrity and more that were slipped during other pre-silicon and post-silicon validation plans. And in future, when the customer identifies a failure through cursory analysis using platform readiness test plan, recommendation on ways to correct will be provided by the vendor.
- Resource Type:
- Project
- Campus Tesim:
- Sacramento
- Department:
- Electrical and Electronic Engineering
- Creator:
- Shah, Saurin and Bhagwat, Tejas
- Description:
- The major concern of the world at this time is the growing rate of energy consumption and the resulting act of increasing pollution. We are living in an era where it is not possible to stop the growth or decrease the use of energy, whether it relates to personal or commercial use. So the more energy we generate using fossil fuels, the more pollution crisis occurs. So the only way left to deal with this situation is to generate electricity with sources of renewable energy such as solar, wind and tidal waves. This project involves the use of the solar energy to generate electricity on the freeway’s shoulders and median. We are using Solar Thermal panel units manufactured by a company called Sopogy. The Sopogy uses MicroCSP technology to transfer solar energy into thermal energy. A steam turbine converts the thermal energy into electrical energy. The solar thermal power plant has some limitations along with benefits. Due to the low efficiency and inconsistency of solar power plants, they cannot replace a power plant that uses non-renewable energy sources. However, solar power plants generate sufficient amounts of electricity to help local utility companies maintain power at peak times and sustain balance in a demand curve. Furthermore, this project aims to find the most economical region in California to build this power plant and estimate total revenue generation per year. As a part of our research, we have collected electrical and civil engineering parameters for the installation of the power plant. Included here, we have illustrated a structural layout of solar panel units with adequate safety clearance to avoid any hazardous situation on freeways. In addition, we have analyzed the data and performed calculations to find total energy and revenue generation per year. By using our economical analysis, one can decide which freeway of California has the highest revenue generation and the lowest revenue payback period. Therefore, we believe that the contents and results of this project will help anyone to build a real solar thermal power plant on a freeway.
- Resource Type:
- Project
- Campus Tesim:
- Sacramento
- Department:
- Electrical and Electronic Engineering
- Creator:
- Shrotriya, Adya
- Description:
- This project develops a method for path planning and tracking of a moving target by a wheeled robot. The main kinematics variables updated in each step are the orientation and relative position of the robot and the target. A discrete extended Kalman filter is used to predict and update the states of the robot and the target and their uncertainties. The robot uses a linear proportional navigation law to track the target. Simulation of the motion kinematics of robot and the target is performed using MATLAB. It is shown using multiple simulation scenarios that the robot is able to track and reach the moving goal successfully.
- Resource Type:
- Project
- Campus Tesim:
- Sacramento
- Department:
- Electrical and Electronic Engineering