@hkbk.edu.in
Associate Professor
HKBK College of Engineering
Suhas A R received his BE in Electronics and Communication Engineering, MTech in Digital Electronics and Communication and he is on verge of completing PhD in Electronics and Communication Engineering from Visvesvaraya Technological University, Belagavi, India. Currently he is working as an Associate Professor in the Department of Electronics and Communication Engineering, HKBK College of Engineering, Bengaluru, Karnataka, India. His areas of research include wireless sensor networks and IoT. He has ten years of experience in teaching and research and has published research articles in various national and international journals such as Springer, Inderscience, Emerald, etc. Also, he is a member in ISTE, WASET and IAENG.
B.E, M.Tech., (
Multidisciplinary, Electrical and Electronic Engineering
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
B P Pradeep Kumar, Venkatesan C, Suhas A R, Balamurugan D, and Sathiyapriya V
IEEE
This paper primarily designates the isolated words transfiguration in the Kannada language based on a few techniques like Mel Frequency Cepstral Coefficients (MFCCs), Euclidean distance measure, Wavelet Transforms and Vector Quantization (VQ) technique. The contiguous match to the test speech exclamation is found by comparing the Euclidean distance value of the MFCC coefficients with that of the utterances present in the training set. The matched sampled word is detected by the display of its text equivalent message trained during the test phase. MATLAB R2019b software is employed to build the framework.
Latha R, Suhas A R, B P Pradeep Kumar, M.Mohammed Ibrahim, and Sathiyapriya V
IEEE
Speech Enhancement (SE) aims to improve the quality of degraded speech while maintaining its intelligibility. The Wavelet Transform (WT) has become a powerful tool of signal analysis thereby widely used in signal detection and signal denoising. In this paper, we propose an effective means of SE by a hybrid threshold scheme using WT. The proposed methodology looks into both falling the noise and preserving edges of the speech signal unlike the conventional Hybrid Threshold (HT) and Soft Threshold (ST) in the wavelet domain. The threshold value in the wavelet domain is maintained constant for all sub-bands of the signal which reduces denoising efficiency. A novel speech augmentation technique built on the wavelet onsets and time adaption of introduced by calculating wavelet coefficients of the Teager Energy. Performance analysis of speech enhancement techniques using Wavelet coefficients and Teager Energy Operator (TEO) with hybrid threshold method is done. The experiment is carried out for speech data with various values of SNR vacillating from -10 to +10 db with Additive White Gaussian Noise (AWGN).
A. R. Suhas and M. Manoj Priyatham
A physical region can have multiple parts, each part is monitored with the help of a Special DDN (SDDN). In the existing methods, namely, LEACH, the Fuzzy method has a larger path between the initiator DDN to destination DDN. Non-healthy DDNs can occur in the Group-based Detection Data Network (GDDN) when the battery level of the DDN reaches below the threshold. The possibility of more Non-healthy DDNs can be of multiple reasons (i) when the link path is of larger length (ii) Same DDN is used multiple times as an SDDN and (iii) repeated communication between base station to DDNs causes the DDN to lose more battery. If a mechanism is created to recover the DDNs or recharge them, then the number of Non-healthy DDNs can be reduced and DDN performance can be improved a lot. The Proposed Genetic (PGENETIC) method will find the SDDN in a battery-aware manner and also at path will be of minimum length along with regular interval trigger to identify DDNs which are non-healthy and replace or recharge them. PGENETIC is compared with LEACH, Fuzzy method, and Proposed CHEF (PCHEF) and proved that PGENETIC exhibits better performance.
R. Latha, C. Venkatesan, A.R. Suhas, and T. Thamaraimanalan
IEEE
The main focus of this work is to propose suitable architectures for the decimation filter networks of digital receivers that use the reduced logic and are capable of receiving multiple communication standard signals. It also involves the design, simulation, and implementation of multi-stage multi-rate filter architectures with reduced Very Large Scale Integrated (VLSI) cost functions. In the first multi-stage architecture namely, the Multi-Standard Decimation Filter (MSDF) structure is proposed to cater to the need of reception of multi-standard receiver signals. The MSDF architecture is designed for GSM and WiMAX wireless communication specifications and its first stages are designed using Cascaded Integrator Comb (CIC) filters. In the second architecture, a modified MSDF structure is implemented using polynomial CIC filters to meet the multi-standard requirements. The third architecture concentrates on design parameters of polyphase CIC-based decimation filter and its implementation concepts. Spartan FPGA-based implementation results that the proposed polynomial CIC-based MSDF architecture provides 32.11% of area reduction when related with the multistage MSDF. The proposed polyphase CIC-based MSDF architecture provides 28.57% of dynamic power-saving and a 15.5% increase in speed when compared to polynomial-based MSDFC architecture. Thus, the proposed polyphase MSDF architecture provides low power and lesser delay solutions using a multistage decimation approach and it is best suited for multi-standard communication applications in digital receivers.
S. N., Niranjan L, Gangadhar N, Seema Jahagirdar, Suhas A R and S. N.
To optimize usage of water in agriculture crops, this research work has proposed an automatic irrigation system. The temperature and moisture sensors are used in the roots of the plants which are connected to a wireless network of systems. The information is sent to the gateway to collect all the information related to the sensor values. A procedure is followed with set of threshold points in the controller to meet the desired output with the help of sensors, actuators to control the flow of water into the irrigation land. The system is powered by solar panel, battery and has duplex communication using internet. The data from the system is analysed using IoT technique using Blynk server with scheduled water system. The proposed automated system was developed and tested in Realtime for 90days with water savings of 90% compared with the normal irrigation system. Due to its low power consumption and low cost the system can be incorporated in areas where the scarcity of water and also in isolated area.
L. Niranjan, C. Venkatesan, A.R. Suhas, S. Satheeskumaran, and S. Aaquib Nawaz
Inderscience Publishers
A. R. Suhas and M. ManojPriyatham