Tejas K Rayangoudar

@jce.ac.in

Associate Professor



                 

https://researchid.co/tejaskr

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, General Engineering

6

Scopus Publications

2

Scholar Citations

1

Scholar h-index

Scopus Publications

  • A Regression Analysis of iPhone 11 Pricing Factors
    Karthikeyan Umesh, G. Nikhileswara Reddy, K. V. Charan Reddy, S. V. Bhaskar, and K. R. Tejas
    Springer Nature Switzerland

  • Diagnosis of Diabetes Mellitus in Bengaluru North using Gradient Boosting Algorithm


  • Image Recognition and Enhancement using Multi Scale Retinex and Histogram Equalization
    K R Tejas, B. Rajalakhmi, Palle Geethika, C Indrani, and Ramya Swathi Kolalapudi
    IEEE
    nowadays the need for a safe and at ease device is favored using every character in society. A fee-effective system is needed for Aerial surveillance systems capable of enhancing situational focus in the course of a couple of scales of place and time. With the assistance of an machine, we are capable of accumulating a device that could report unmanned vehicles and humans. With improvements in technology, Unmanned motors and optical sensors are being fast produced with powerful usage of resources, therefore, it has ended up being less complicated to get images from the UAV at a low price. But the selection of those pixy received is reduced because of climatic conditions like fog, rain, harsh sunlight, etc. So, we advocate a photograph processing technique as a manner to use algorithms that include single-scale retinex, Multiscale retinex, histogram equalization, and colour recuperation to grow the fine of photographs. These select images have a higher evaluation, and subsequently can be used for better item detection. 1. The program can determine the objects without getting observed.2. The program can find multiple items. Three. MSRP for similar processing like histogram equalization and item detection to get the exceptional possible output

  • Design and Analysis of Dual-Band Monopole Antenna Using Star EBG Structures
    Prasanna G. Paga, H. C. Nagaraj, R. Tejas, and V. R. Sanath
    Springer Singapore

  • Dual band monopole antenna with concentric square electromagnetic band gap (EBG) structure
    Prasanna G. Paga, H.C. Nagaraj, R. Tejas, and Krishnananda Shet
    IEEE
    In this Paper, a Dual Band Monopole Antenna has been presented for GSM 900 and Wi-Fi band. To improve the performance parameters of the antenna, concentric square shaped electromagnetic band gap (EBG) structure has been incorporated. FR4 substrate is used and the proposed antenna is fed by line feed technique. The outer cell of $6.8533^{\\ast}6.8533\\text{mm}^{2}$ has been designed for GSM 900 band and inner cell of $2.557^{\\ast}2.557\\text{mm}^{2}$ is tuned to Wi-Fi band. The structure without EBG, reported a gain of 6.1928dB and 5.72499dB for GSM 900 band and Wi-Fi band respectively. The return loss of - 16.36116dB and -14.12084dB was obtained for GSM 900 and Wi-Fi band correspondingly. Introducing a concentric square EBG cells, the gain of 6.3391dB and 7.1013dB is obtained for GSM 900 and Wi-Fi bands individually. Return loss of the antenna is also improved for both the bands which makes the proposed antenna suitable for GSM and Wi-Fi applications.

  • Effective distribution of local intensity gradient technique for view invariant gait recognition
    Tejas.K. Rayangoudar and H. C. Nagaraj
    IEEE
    The proposed paper investigates the effectiveness of view invariance in gait recognition by implementing HOG behavioral feature extraction technique on CASIA-B and CMU MoBo gait database in which standard HOG (RHOG), circular HOG and MHOG are considered for feature extraction. The effectiveness of each feature is analyzed and compared using SVM based classifier on gait detection of the subject for changing view angle. 25 subjects are considered with 10 different view angles for each subject. Classification is done based on the influence of individual and combination of above mentioned features. In spatial domain, although the RHOG gives better precision in finding the gait with normal view angle, but when the view angles are changed with respect to binning angles of histograms, the CHOG feature gives up to 97% better and consistent classification rate against RHOG. Further MHOG feature analysis is considered to improve classification results up to 100%, thus addressing the rotational invariance problem. The work carried out shows better gait recognition results than the previous researchers for all the view angles.

RECENT SCHOLAR PUBLICATIONS

  • Agranomy Apparatus Using Convolution Neural Network
    CMRR Tejas K R, B Rajalakshmi, Rangani Roshini
    Innovations in Clean Energy Technologies (ICET- 2023) 2023

  • Fitness Trainer using Machine Learning and Computer Vision
    TK Rayangoudar
    International Conference on Nanoelectronics, Nanophotonics, Nanomaterials 2023

  • A Regression Analysis of iPhone 11 Pricing Factors
    K Umesh, G Nikhileswara Reddy, KV Charan Reddy, SV Bhaskar, ...
    XVIII International Conference on Data Science and Intelligent Analysis of 2023

  • Image Recognition and Enhancement using Multi Scale Retinex and Histogram Equalization
    KR Tejas, B Rajalakhmi, P Geethika, C Indrani, RS Kolalapudi
    2023 2nd International Conference for Innovation in Technology (INOCON), 1-7 2023

  • Design and Analysis of Dual-Band Monopole Antenna Using Star EBG Structures
    PG Paga, HC Nagaraj, R Tejas, VR Sanath
    Emerging Research in Computing, Information, Communication and Applications 2022

  • Dual Band Monopole Antenna with Concentric Square Electromagnetic Band Gap (EBG) Structure
    PG Paga, HC Nagaraj, R Tejas, K Shet
    2020 IEEE International Conference on Computing, Power and Communication 2020

  • Significance Of Effective Local Gradient Distribution Technique With Eft On Multi-View And Cloth Invariant Gait Recognition
    tejasK Rayangoudar
    International Journal of Future Generation Communication and Networking 13 2020

  • CHOG Based EFD for Geometric Shape Retrieval of Images for Cloth and Object Invariant Gait Recognition
    HCN tejas K Rayangoudar
    International Journal of Recent Technology and Engineering (IJRTE) 8 (4 2019

  • Effective Distribution of Local Intensity Gradient Technique for View Invariant Gait Recognition
    TK Rayangoudar, HC Nagaraj
    2019 2nd International Conference on Intelligent Communication and 2019

  • A review on Gait methodology and challenges
    DHCN Tejas.K.Rayangoudar
    International Journal on Recent Advancements in Engineering & Technology, 48-52 2017

MOST CITED SCHOLAR PUBLICATIONS

  • Image Recognition and Enhancement using Multi Scale Retinex and Histogram Equalization
    KR Tejas, B Rajalakhmi, P Geethika, C Indrani, RS Kolalapudi
    2023 2nd International Conference for Innovation in Technology (INOCON), 1-7 2023
    Citations: 1

  • Design and Analysis of Dual-Band Monopole Antenna Using Star EBG Structures
    PG Paga, HC Nagaraj, R Tejas, VR Sanath
    Emerging Research in Computing, Information, Communication and Applications 2022
    Citations: 1