Informatics Publishing Limited

J. Femila Roseline ¹, N. M. Nandhitha ²

Affiliations
1 Sathyabama University, Jeppiaar Nagar, Old Mahabalipuram Road, Chennai, 600 119, IN
2 Department of Electronics and Communication Engineering, Sathyabama University, Jeppiaar Nagar, Old Mahabalipuram Road, Chennai, 600 119, IN

Abstract

Plasma position control is a major concern in Tokamak machines. Radial position and plasma current are the input parameters that affect the plasma stabilization current which in turn affects the plasma position. As the relationship between the input and output parameters are non linear in nature, intelligent controllers are to be developed. In this paper, FIS based plasma position controller is developed. Also the optimization of linguistic variables and membership functions is performed based on the accuracy of the results. It is found that triangular membership with 9 linguistic variable provide better results for stabilization current prediction.

Keywords

Feedback Coil Current, Fis, Plasma, Plasma Current, Radial Position

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K. Sudheera ¹, N. M. Nandhitha ²

Affiliations
1 Department of Electronics and Control, Sathyabama University, Chennai – 600119, Tamil Nadu, IN
2 Faculty of Electrical and Electronics, Sathyabama University; Chennai – 600119, Tamil Nadu, IN

Abstract

Ultrasonic Testing is the highly reliable Non Destructive Testing (NDT) technique for flaw detection in steel weldments. Ultrasonic test signals are analyzes to identify the nature of the defect. In this paper, Hilbert transform is used for decomposing the ultrasonic test signals into high and low frequency components (namely Intrinsic Mode Function). These components are characterised in terms of Power Spectral Density (PSD). An attempt has been successfully made to classify the flaws based on PSD. It is found that power spectral density of planar defects is higher than volumetric defects for the fourth Intrinsic Mode Function.

Keywords

Flaw Characterisation, Hilbert Transform, Lack of Fusion, Power Spectral Density, Ultrasonic Signals

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S. Nandhini ¹, S. Prayla Shyry ², S. Emalda Roslin ³, N. M. Nandhitha ³, V. Ramachandran ⁴

Affiliations
1 Sathyabama University, Chennai-119, IN
2 Department of Computer Science Engineering, Sathyabama University, Chennai-119, IN
3 Department of Electronics and Telecommunication Engineering, Sathyabama University, Chennai-119, IN
4 Dept of IST, Anna University, Chennai, Guindy, IN

Abstract

Nash Equilibrium is the well known game theory approach that is used extensively for solving the instability problems. Overlay networks are the proper choice for reducing the packet drops due to link failures. However there is an unsolved instability in these networks due to lack of proper communication between the nodes in the network. Once this instability problem in overlay networks is solved, it can overcome all the disadvantages as predicted theoretically and offers itself as a false proof choice for networking. This paper provides an intensive survey on the application of Nash Equilibrium to stabilize overlay nodes with different routing techniques.

Keywords

Nash Equilibrium, Overlay Network, Latency, Network Cost.

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M. Selva Kumar ¹, Santosh P. Pandya ², N. M. Nandhitha ¹, B. Sheela Rani ³

Affiliations
1 Department of Electronics and Telecommunication Engineering, Sathyabama University, IN
2 SC Institute for Plasma Research, Gujarat, IN
3 Sathyabama University, IN

Abstract

With the need for highly accurate computer aided analysis, extensive research is carried out in the development of effective feature extraction methods. Through spatial, frequency and wavelet based approaches provide better results, they suffer from certain limitations especially during local frequency amplitude analysis. Hence the paradigm has shifted to Stockwell transform that combines a frequency dependent resolution of the time-frequency in addition to providing the relationship between time and frequency, Stockwell transform also gives information about phase. Moreover S-Transform is also sensitive to noise. This paper provides a extensive survey on the application of S-Transform for signal an image analysis. From the survey it is found that S-Transform provides better results when compared to conventional denoising and feature extraction algorithm.

Keywords

Frequency Domain, Image Processing Stockwell Transform, Wavelet Transform.

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J. Prakash Jordan Jency ¹, J. Prakash Jeltin Jeromi ², N. M. Nandhitha ¹, S. Emalda Roslin ¹, S. Prayla Shyry ¹, N. Selvarasu ³

Affiliations
1 Sathyabama University, Jeppiaar Nagar, Chennai-600119, IN
2 P.B. Engineering College, Sriperumbudur, Chennai-602105, IN
3 M.N.M. Jain Engineering College, Thorapakkam, Chennai-600096, IN

Abstract

Nowadays a large amount of images are transmitted through internet. It uses a very large bandwidth and often results in time out errors and images can not be downloaded easily. Therefore it necessitates an effective image compression technique that uses lesser bits for representing the image and hence lesser bandwidth. This paper proposes a lossy bit plane compression technique that targets Interpixel redundancy and uses Constant Area Coding for replacing a block of bits. The performance of the technique is dependent on the choice of block size. This paper also quantitatively compares the impact of block size on image compression.

Keywords

Bit Plane Coding, Compression Ratio, Constant Area Coding, Interpixel Redundancy, Relative Redundancy.

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N. Selvarasu ¹, Alamelu Nachiappan ², N. M. Nandhitha ³

Affiliations
1 Sathyabama University, Jeppiaar Nagar, Chennai-600 119, IN
2 Department of EEE, Pondicherry Engg. College, Pondicherry, IN
3 Department of ETCE, Sathyabama University, Jeppiaar Nagar, Chennai-600 119, IN

Abstract

Clinical infrared thermography, a non-contact, non-invasive, non-hazardous technique is accepted as a reliable diagnostic tool for detecting cancer even at the earlier stages of formation. Here, temperature variations are mapped into thermographs. Temperature distribution is uniform and symmetric for normal conditions. On the other hand, an abnormality is indicated by non- uniform and non-symmetric thermal patterns in a thermograph. Abnormality may be due to pain, swelling, Tuberculosis, Fibroadenoma or cancer. This paper proposes an automated technique for classification of cancer regions from fibroadenoma. Also cancer regions are extracted using thresholding and region growing techniques. In this paper, significance of wavelet based smoothing and cascaded wavelet based smoothing techniques in removing the undesirable regions is studied.

Keywords

Breast Cancer, Fibroadenoma, Region Growing Thermographs, Thresholding, Wavelet.

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J. Femila Roseline ¹, Yasser Arafat ², Jigneshkumar J. Patel ³, J. Govindarajan ⁴, N. M. Nandhitha ⁵, B. Sheela Rani ⁶

Affiliations
1 Department of Electrical and Electronics Engineering, Sathyabama University, Jeppiaar Nagar, Old Mahabalipuram Road, Chennai-600119, IN
2 Sathyabama University, Jeppiaar Nagar, Old Mahabalipuram Road, Chennai-600119, IN
3 Electronics Group, Institute of Plasma Research, IN
4 Institute of Plasma Research, IN
5 Department of Electronics and Telecommunication Engineering, Sathyabama University, Jeppiaar Nagar, Old Mahabalipuram Road, Chennai-600119, IN
6 Electronics & Instrumentation, Sathyabama University, Chennai-600119, IN

Abstract

Tokamaks are machines used for generating electrical power through nuclear fusion from plasma that is confined within the toroidal chamber. As Tokamaks require large amount of input power to produce plasma, the efficiency can be improved only when significant output power is generated. Hence in recent years, research has begun in this area to improve its efficiency. From the literature, it is found that the amount of power generated is dependent on the density of the plasma, plasma position and time duration for which the plasma is properly stabilized. In order to improve the efficiency, it is necessary to confine the plasma for longer durations within the chamber. This paper provides an extensive review of various researches conducted in this area to improve the efficiency of the Tokamak machines by stabilizing the plasma. From the literature cited, it is obvious that an adaptive plasma positioning system is yet to be evolved.

Keywords

Tokamaks, Plasma, Position Confinement, PID Controller, Fuzzy Logic Controller.

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M. S. Sangeetha ¹, N. M. Nandhitha ¹

Affiliations
1 Sathyabama University, Chennai - 600119, Tamil Nadu, IN

Abstract

The most challenging task in InfraRed Thermography based condition monitoring of electrical equipment lies in the accurate detection of the anomaly. It necessitates an efficient preprocessing technique for increasing the contrast between the background and the anomaly regions in thermographs. In this paper, an efficient multi-level thresholding based enhancement technique is proposed for highlighting the anomaly region from the background. In contrast to the two levels in binary enhancement, n levels are determined based on the histogram bins. Enhanced intensity is calculated based on the range of the level rather than selecting randomly. Strength of the proposed technique is evident in its ability to detect the true edges corresponding to the anomaly. Also the anomaly region is accurately detected to its true size which in turn resulted in the precise estimation of the real time temperature. The error in temperature is approximately 0.5 at an emissivity of 0.7. The proposed technique can be adapted irrespective of thermal profiling of thermographs. However the intensity range must be chosen appropriately. Relationship between emissivity and error in temperature is also provided at the room temperature

Keywords

Emissivity, Error in Temperature, Histogram, Hotspot, Multiple Threshold

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