A. Venkata Anuhya ¹, N. Venkatram ¹

Affiliations
1 Department of Electronics and Computer Engineering, KL University, Guntur - 522 502, Andhra Pradesh, IN

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

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G. Harish Babu ¹, A. Venkata Anuhya ², N. Venkatram ³

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

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

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Narayanam Sri Prakash ¹, N. Venkatram ¹

Affiliations
1 Department of Electronics and Computer Engineering, KL University, Vaddeswaram, Guntur District - 522 502, Andhra Pradesh, IN

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.

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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

Abstract

Background/Objectives: In recent times internet has become a primary means of communication between the medical center and the some remote doctor present at hospital. With the usage of internet, there comes the issue of data integrity and therefore the responsibility of the medical specialist to preserve sensitive data of patients contained within the medical images relevant with that exact patient. Methods and Analysis: Thus we have created an experiment to preserve the data integrity by using different watermarking techniques used for conventional images. For medical images quality conservation is imperative. We have used 2D Lifting Wavelet Transform (LWT) for watermarking. Findings: As lifting wavelets has the advantage of less computing time and the less memory requirements. Application/Improvement: Here lifting scheme of wavelet transform (LWT) is used for watermarking different types of medical images along with Artificial Neural Network for better security.

Keywords

Artificial Neural Networks, Medical Image Watermarking, Lifting Wavelet Transform (LWT).

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