scispace - formally typeset
Search or ask a question
Author

M. Madhavi Latha

Bio: M. Madhavi Latha is an academic researcher from Jawaharlal Nehru Technological University, Hyderabad. The author has contributed to research in topics: Speech coding & Very-large-scale integration. The author has an hindex of 8, co-authored 27 publications receiving 132 citations. Previous affiliations of M. Madhavi Latha include Indian Institute of Chemical Technology & St. Joseph's College, Devagiri.

Papers
More filters
Journal ArticleDOI
01 Jul 2020-Ionics
TL;DR: In this paper, a graphene-supported WS2 composite (WS2-G) was synthesized by the ultra-sonication method and the initial discharge capacity reached 82 mAhg−g−1.
Abstract: The graphene-supported WS2 composite (WS2-G) was synthesized by the ultra-sonication method. X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), and field emission scanning electron microscopy (FESEM) showed WS2 had been successfully combined with the graphene. The charge-discharge tests, cyclic voltammetry, and electrochemical impedance spectroscopy were used to study electrochemical properties of as-synthesized composite material. The results showed that the electrochemical properties of graphene-supported WS2 were superior to that of WS2 material. The initial discharge capacity of the graphene-supported WS2 material reached 82 mAh g−1. After 100 cycles, it still had a capacity retention rate of 95%. Enhanced electrochemical performance of graphene-supported WS2 could be attributed due to the synergistic effect between WS2 and highly conductive graphene. The intercalation behavior of Mg2+ is further confirmed by XRD, EDX, and XPS analysis.

21 citations

Journal ArticleDOI
TL;DR: Compared with various ECG compression techniques like TURNING POINT, AZTEC, CORTES, FFT and DCT it was found that DCT is the best suitable compression technique with compression ratio of about 100:1.
Abstract: It is often very difficult for the patient to tell the difference between angina symptoms and heart attack symptoms, so it is very important to recognize the signs of heart attack and immediately seek medical attention. A practical case of this type of remote consultation is examined in this paper. To deal with the huge amount of electrocardiogram (ECG) data for analysis, storage and transmission; an efficient ECG compression technique is needed to reduce the amount of data as much as possible while preserving the clinical significant signal for cardiac diagnosis. Here the ECG signal is analyzed for various parameters such as heart rate, QRS-width, etc. Then the various parameters and the compressed signal can be transmitted with less channel capacity. Comparison of various ECG compression techniques like TURNING POINT, AZTEC, CORTES, FFT and DCT it was found that DCT is the best suitable compression technique with compression ratio of about 100:1. In addition, different techniques are available for implementation of hardware components for signal pickup the virtual implementation with labview is also used for analysis of various cardiac parameters and to identify the abnormalities like Tachycardia, Bradycardia, AV Block, etc. Both hardware and virtual implementation are also detailed in this context.

15 citations

Journal ArticleDOI
TL;DR: An automated method that assists diagnosis of normal and abnormal MR images, which obtains better classification rate with the less number of features and also uses larger and rather different database.
Abstract: The aim of this work is to present an automated method that assists diagnosis of normal and abnormal MR images. The diagnosis method consists of four stages, pre-processing of MR images, skull Striping, feature extraction, feature reduction and classification. After histogram equalization of image, the features are extracted based on Dual-Tree Complex wavelet transformation (DTCWT). Then the features are reduced using principal component analysis (PCA). In the last stage two classification methods, k-means clustering and Probabilistic neural network (PNN) are employed. Our work is the modification and extension of the previous studies on the diagnosis of brain diseases, while we obtain better classification rate with the less number of features and we also use larger and rather different database.

15 citations

01 Jan 2011
TL;DR: This paper proposes one selective approach wavelet image thresholding scheme by incorporating neighbouring coefficients, namely Selected NeighShrink, which is valid because a large wavelet coefficient will probably have largeWavelet coefficients as its neighbours.
Abstract: SELECTIVE NEIGHBOURING WAVELET COEFFICIENTS APPROACH FOR IMAGE DENOISING B. Chinna Rao1, M. Madhavi Latha2 1 Department of ECE, RK College of Engineering, Vijayawada, A.P., India, E-mail: Chinnarao_Ece@Yahoo.co.in. 2 Department of ECE, Jntu College of Engineering, Hyderabad, A.P., India, E-mail: Mlmakkena@Yahoo.com. The denoising of a natural image corrupted by Gaussian noise is a classical problem in signal or image processing. G.Y. Chen, Donoho and his coworkers at Stanford pioneered a wavelet denoising scheme by thresholding the wavelet coefficients arising from the standard discrete wavelet transform. This work has been widely used in science and engineering applications. However, this denoising scheme tends to kill too many wavelet coefficients that might contain useful image information. In this paper, we propose one selective approach wavelet image thresholding scheme by incorporating neighbouring coefficients, namely Selected NeighShrink. This approach is valid because a large wavelet coefficient will probably have large wavelet coefficients as its neighbours. We selected the neighbours based on the directions. Here we selected widow size 3 × 3 to get better results.

14 citations


Cited by
More filters
Journal ArticleDOI
01 Oct 1980

1,565 citations

Journal ArticleDOI
TL;DR: An overview of cathode and anode materials for sodium-ion batteries, and a comprehensive summary of research on cathodes for magnesium ion batteries are provided in this article. And several common experimental discrepancies in the literature are addressed, noting the additional constraints placed on magnesium electrochemistry.
Abstract: The need for economical and sustainable energy storage drives battery research today. While Li-ion batteries are the most mature technology, scalable electrochemical energy storage applications benefit from reductions in cost and improved safety. Sodium- and magnesium-ion batteries are two technologies that may prove to be viable alternatives. Both metals are cheaper and more abundant than Li, and have better safety characteristics, while divalent magnesium has the added bonus of passing twice as much charge per atom. On the other hand, both are still emerging fields of research with challenges to overcome. For example, electrodes incorporating Na+ are often pulverized under the repeated strain of shuttling the relatively large ion, while insertion and transport of Mg2+ is often kinetically slow, which stems from larger electrostatic forces. This review provides an overview of cathode and anode materials for sodium-ion batteries, and a comprehensive summary of research on cathodes for magnesium-ion batteries. In addition, several common experimental discrepancies in the literature are addressed, noting the additional constraints placed on magnesium electrochemistry. Lastly, promising strategies for future study are highlighted.

237 citations

Journal ArticleDOI
TL;DR: This paper developed a brain tumor classification using a hybrid deep autoencoder with a Bayesian fuzzy clustering-based segmentation approach that obtained the high classification accuracy when compared to other state-of-art methods.

126 citations

01 Jan 2010
TL;DR: The Lossless method of image compression and decompression using a simple coding technique called Huffman coding is proposed, which is simple in implementation and utilizes less memory.
Abstract: The need for an efficient technique for compression of Images ever increasing because the raw images need large amounts of disk space seems to be a big disadvantage during transmission & storage. Even though there are so many compression technique already present a better technique which is faster, memory efficient and simple surely suits the requirements of the user. In this paper we proposed the Lossless method of image compression and decompression using a simple coding technique called Huffman coding. This technique is simple in implementation and utilizes less memory. A software algorithm has been developed and implemented to compress and decompress the given image using Huffman coding techniques in a MATLAB platform.

118 citations

Journal ArticleDOI
TL;DR: In this article, the types of reported Al-batteries are classified into two main groups: aqueous (Al-ion, and Al-air) and non-aqueous (aluminum graphite dualion, Al-organic dual-ion or Al-sulfur).

84 citations