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Venkatram, N.
- Suppression of Thermal Effect on Closed Loop Fiber Optic Gyroscope
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Authors
Affiliations
1 Department of Electronics and Computer Engineering, KL University, Guntur - 522 502, Andhra Pradesh, IN
1 Department of Electronics and Computer Engineering, KL University, Guntur - 522 502, Andhra Pradesh, IN
Source
Indian Journal of Science and Technology, Vol 8, No 15 (2015), Pagination:Abstract
Fiber Optic Gyroscope (FOG), an inertial sensor measures the angular rotation of an object based on the principle of Sagnac effect. FOG is subjected to various environmental disturbances such as temperature, vibration etc., when it is operated in real time. Temperature variation is the major factor that affects the gyro performance. In this paper, a novel compensation approach called temperature soaking method has been presented which makes the gyro insensitive to temperature. This method has been carried out for a 3-axis (Gx, Gy and Gz) FOG and its outputs (bias values) were taken at different temperature points. In order to reduce the bias drift of FOG output, this method uses linear curve fitting function to generate the bias error coefficients. The generated bias error coefficients are subtracted from the existing bias data, which in turn reduces the bias error. The bias values obtained for 3-axis gyro at temperature points from -20°C to +60°C before compensation is then compared with the bias values obtained for after compensation at same temperature points. Experimental results demonstrate that, after compensation the bias drift greatly reduced from 15 to 0°/hr approximately. This method effectively improves the stability and performance of a gyro and makes it to withstand to different environmental conditions which in turn increases the range of applications from military, navigation to space.Keywords
Bias Error Coefficients, Compensation, Fibre Optic Gyroscope (FOG), Linear Curve Fitting Function, Thermal Drift, Temperature Soaking Method- Multiresolution Medical Image Watermarking for Telemedicine Applications
Abstract Views :151 |
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Authors
Affiliations
1 KL University, ECM Dept., Green Fields, Vaddeswaram, Guntur DT, IN
2 KL University, CSE Department, IN
3 ECE Department, KL University, IN
1 KL University, ECM Dept., Green Fields, Vaddeswaram, Guntur DT, IN
2 KL University, CSE Department, IN
3 ECE Department, KL University, IN
Source
Digital Image Processing, Vol 6, No 1 (2014), Pagination: 6-15Abstract
Medical image watermarking (MIW) has challenged researchers for over a decade now. Medical images are difficult to watermark as they contain sensitive information of a patient’s disease. During transportation through internet the medical images are subjected to various attacks. For telemedicine applications it becomes vital to prevent the authenticity regarding patient’s records. A two dimensional discrete wavelet transform based approach is designed and tested to embed a patient passport photograph into his or her medical image. This method computes 2D DWT at various levels and mixes the approximate coefficients using a wave coupling coefficient. The proposed watermarking algorithm is tested for available mother wavelets and around five levels of decomposition with multiple coupling coefficients. Peak Signal-to-Noise ratio, Minimum Mean Square Error and Normalized cross correlation coefficient are computed to identify the best wavelet and the level of decomposition that can significantly be applied to medical image watermarking. The results demonstrate that db2 at level 4 is the top performing wavelet.Keywords
Medical Image Watermarking, 2D Discrete Wavelet Transform, Wave Coupling Coefficient, Peak Signal-To-Noise Ratio, and Minimum Mean Square Error.- Digital Signal Processing Scheme for Open Loop and Closed Loop IFOG using MATLAB/SIMULINK
Abstract Views :211 |
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Authors
Affiliations
1 Department of ECE, Aurora’s Scientific & Technological Institute, Hyderabad - 501301, Telangana, IN
2 Department of ECE, St.Mary’s Women’s Engineering College, Guntur - 522017, Andhra Pradesh,, IN
3 Department of ECM, K L University, Guntur - 522502, Andhra Pradesh, IN
1 Department of ECE, Aurora’s Scientific & Technological Institute, Hyderabad - 501301, Telangana, IN
2 Department of ECE, St.Mary’s Women’s Engineering College, Guntur - 522017, Andhra Pradesh,, IN
3 Department of ECM, K L University, Guntur - 522502, Andhra Pradesh, IN
Source
Indian Journal of Science and Technology, Vol 9, No 11 (2016), Pagination:Abstract
Objective: Interferometric Fiber optic gyroscope (IFOG) is an angular rate sensor which plays a crucial role in inertial navigation system. Measuring the angular rotation rate can be done in two approaches namely open loop&closed loop. Designing and implementation of these methods using a simulation tool provides faster&accurate results. This paper presents a novel Simulink model implementation of Open loop&Closed loop Fiber optic gyroscope for the measurement of rotation rate. Method/Analysis: The gyroscope with each optical component is treated as a black box having M input and N output ports that are represented mathematically with its transfer function by connecting output to its input. This methodology is very efficient for finding the calibration&phase difference between the co-rotating&counter rotating beams. Findings: There are two major contributions in this paper. Firstly, the physical model of open loop FOG is built in Simulink model&angular rate is measured. The signal processing scheme of modulation and demodulation techniques for finding the rotation rate can also be analyzed mathematically. In second, to improve the accuracy and stability the feedback loop is very important to improve the gyro performance which can also be analyzed with different rotation rates. Experimental setup shows that an improved result is obtained in determining the direction of rotation and accuracy of the proposed model.Keywords
Black Box, Closed Loop, Interferometric Fiber Optic Gyroscope (IFOG), Open Loop, Simulation, Simulink Model, Transfer Function- Establishing Efficient Security Scheme in Home IOT Devices through Biometric Finger Print Technique
Abstract Views :185 |
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Authors
Affiliations
1 Department of Electronics and Computer Engineering, KL University, Vaddeswaram, Guntur District - 522 502, Andhra Pradesh, IN
1 Department of Electronics and Computer Engineering, KL University, Vaddeswaram, Guntur District - 522 502, Andhra Pradesh, IN
Source
Indian Journal of Science and Technology, Vol 9, No 17 (2016), Pagination:Abstract
Objective: To enhance the automation of home security through biometric recognition, Finger Print in home IOT. Analysis: Most of the present technologies using voice recognition technologies and the pattern of security in the home environment in which it is worked by an approved client's voice key through the confirmation procedure of Speaker Recognition and voice modulation. But this procedure may not yield optimum results when the client's speech/voice is deteriorated due to an illness or undergoing through an emotional rift. Methodology: Instead of using voice recognition technology in IOT of home security system, we opt for implement finger print recognition technique, which overcomes the problems of existing speech recognition techniques and also greatly reduces the cost of the hardware equipment. Implementation is to be done in Raspberry Pi along with the hardware modules viz., Wi-Fi router, Gas Sensor, Fire Sensor, Door Fringe motor sensor and evaluated our proposed methodology. Finding/Improvements: We implement the proposed system as a stand-alone application in Raspberry Pi2 and successful in evaluating the results which support our proposed scheme, justifying the usage of Finger Print Automation is quite efficient and economical over the usage of existing voice recognition techniques in home security automation.Keywords
Fingerprint Module, Fire Sensor, Gas Sensor, Internet of Things, Raspberry Pi 2.- Watermarking using Lifting Wavelet Transform (LWT) and Artificial Neural Networks (ANN)
Abstract Views :162 |
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Authors
P. Mamatha
1,
N. Venkatram
1
Affiliations
1 Department of Electronics and Computer Engineering, K L University, Green Fields, Vaddeswaram, Guntur District, Andhra Pradesh, IN
1 Department of Electronics and Computer Engineering, K L University, Green Fields, Vaddeswaram, Guntur District, Andhra Pradesh, IN