'%3e%3cpath%20d='M29.5529%2025.4577C28.9763%2024.0918%2028.1395%2022.8511%2027.0891%2021.8047C26.0419%2020.7553%2024.8014%2019.9186%2023.4361%2019.3408C23.4239%2019.3347%2023.4116%2019.3317%2023.3994%2019.3256C25.3039%2017.95%2026.5419%2015.7092%2026.5419%2013.1812C26.5419%208.99325%2023.1487%205.6001%2018.9608%205.6001C14.7729%205.6001%2011.3797%208.99325%2011.3797%2013.1812C11.3797%2015.7092%2012.6177%2017.95%2014.5222%2019.3286C14.51%2019.3347%2014.4977%2019.3378%2014.4855%2019.3439C13.116%2019.9216%2011.8871%2020.7501%2010.8325%2021.8078C9.78311%2022.8549%208.94642%2024.0954%208.36866%2025.4607C7.80106%2026.7974%207.49494%2028.2304%207.46687%2029.6823C7.46606%2029.7149%207.47178%2029.7474%207.4837%2029.7778C7.49563%2029.8082%207.51351%2029.8358%207.5363%2029.8592C7.55909%2029.8826%207.58633%2029.9011%207.6164%2029.9138C7.64648%2029.9265%207.67879%2029.933%207.71142%2029.933H9.54556C9.68007%2029.933%209.78706%2029.826%209.79011%2029.6945C9.85125%2027.3346%2010.7989%2025.1245%2012.4741%2023.4493C14.2073%2021.716%2016.5092%2020.7623%2018.9608%2020.7623C21.4124%2020.7623%2023.7143%2021.716%2025.4475%2023.4493C27.1227%2025.1245%2028.0703%2027.3346%2028.1315%2029.6945C28.1345%2029.829%2028.2415%2029.933%2028.376%2029.933H30.2102C30.2428%2029.933%2030.2751%2029.9265%2030.3052%2029.9138C30.3353%2029.9011%2030.3625%2029.8826%2030.3853%2029.8592C30.4081%2029.8358%2030.426%2029.8082%2030.4379%2029.7778C30.4498%2029.7474%2030.4555%2029.7149%2030.4547%2029.6823C30.4242%2028.2211%2030.1215%2026.7997%2029.5529%2025.4577ZM18.9608%2018.4391C17.5577%2018.4391%2016.2371%2017.8919%2015.2436%2016.8984C14.2501%2015.9049%2013.7029%2014.5843%2013.7029%2013.1812C13.7029%2011.7781%2014.2501%2010.4575%2015.2436%209.46401C16.2371%208.47052%2017.5577%207.92334%2018.9608%207.92334C20.3639%207.92334%2021.6845%208.47052%2022.678%209.46401C23.6715%2010.4575%2024.2187%2011.7781%2024.2187%2013.1812C24.2187%2014.5843%2023.6715%2015.9049%2022.678%2016.8984C21.6845%2017.8919%2020.3639%2018.4391%2018.9608%2018.4391Z'%20fill='white'/%3e%3c/g%3e%3c/svg%3e)
Dr. Ram Chandr Barik
'%3e%3cpath%20d='M22.1642%2019.0924C21.7317%2018.068%2021.1041%2017.1375%2020.3163%2016.3527C19.5309%2015.5656%2018.6006%2014.9381%2017.5766%2014.5048C17.5674%2014.5002%2017.5582%2014.4979%2017.5491%2014.4933C18.9774%2013.4616%2019.9059%2011.7811%2019.9059%209.88504C19.9059%206.74408%2017.3611%204.19922%2014.2201%204.19922C11.0792%204.19922%208.53429%206.74408%208.53429%209.88504C8.53429%2011.7811%209.46282%2013.4616%2010.8912%2014.4956C10.882%2014.5002%2010.8728%2014.5025%2010.8636%2014.5071C9.83652%2014.9404%208.91487%2015.5617%208.1239%2016.355C7.33685%2017.1404%206.70933%2018.0707%206.276%2019.0947C5.85031%2020.0972%205.62072%2021.172%205.59967%2022.2609C5.59905%2022.2853%205.60335%2022.3097%205.61229%2022.3325C5.62123%2022.3553%205.63465%2022.376%205.65174%2022.3935C5.66883%2022.4111%205.68926%2022.425%205.71182%2022.4345C5.73437%2022.444%205.7586%2022.4489%205.78308%2022.4489H7.15868C7.25956%2022.4489%207.3398%2022.3686%207.3421%2022.2701C7.38795%2020.5001%208.09868%2018.8425%209.35506%2017.5861C10.655%2016.2862%2012.3814%2015.5709%2014.2201%2015.5709C16.0588%2015.5709%2017.7852%2016.2862%2019.0852%2017.5861C20.3415%2018.8425%2021.0523%2020.5001%2021.0981%2022.2701C21.1004%2022.3709%2021.1807%2022.4489%2021.2815%2022.4489H22.6571C22.6816%2022.4489%2022.7058%2022.444%2022.7284%2022.4345C22.751%2022.425%2022.7714%2022.4111%2022.7885%2022.3935C22.8056%2022.376%2022.819%2022.3553%2022.8279%2022.3325C22.8369%2022.3097%2022.8412%2022.2853%2022.8406%2022.2609C22.8176%2021.165%2022.5907%2020.0989%2022.1642%2019.0924ZM14.2201%2013.8284C13.1678%2013.8284%2012.1773%2013.418%2011.4322%2012.6729C10.6871%2011.9278%2010.2767%2010.9374%2010.2767%209.88504C10.2767%208.83271%2010.6871%207.84227%2011.4322%207.09715C12.1773%206.35204%2013.1678%205.94165%2014.2201%205.94165C15.2724%205.94165%2016.2629%206.35204%2017.008%207.09715C17.7531%207.84227%2018.1635%208.83271%2018.1635%209.88504C18.1635%2010.9374%2017.7531%2011.9278%2017.008%2012.6729C16.2629%2013.418%2015.2724%2013.8284%2014.2201%2013.8284Z'%20fill='%238590A2'/%3e%3c/g%3e%3c/svg%3e)
Co-authors
Following
Followers
Research Focus & Metrics
Explore full metrics on Scilit
Academic Career Length
13Years (2014-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications7 February 2024 in Internet of Things
Journal Article
SJSanjay Kumar Jena
Sanjay Kumar JenaRBRam Chandr Barik
Ram Chandr BarikRPRojalina Priyadarshini
Rojalina Priyadarshini
15 May 2024 in Decision Analytics Journal
Journal Article
MSMilan Samantaray
Milan SamantarayRBRam Chandr Barik
Ram Chandr Barik
Anil Kumar Biswal2 February 2024 in Decision Analytics Journal
Journal Article
SJSanjay Kumar Jena
Sanjay Kumar JenaBKBrajesh Kumar
Brajesh KumarBMBarunaditya Mohanty
Barunaditya MohantyASAyush Singhal
Ayush SinghalRBRam Chandr Barik
Ram Chandr Barik4 March 2024
Journal Article
SDSambit Dash
Sambit Dash
SOSatyaswarup Ojha
Satyaswarup Ojha
RMRaman Kumar Muduli
Raman Kumar Muduli
SPSaideep Priyadarshan Patra
Saideep Priyadarshan Patra
RBRam Chandr Barik
Ram Chandr BarikAquaculture is a critical source of seafood production, addressing the global demand for fish products. Suggesting a Deep learning-based classification technique for fishes specifically Indian Major Carp (IMC) as Mrigala, Catla and Rohu is the major objective of this paper along with detecting the disease among them. This world inside hydrosphere has their own discrete living manner. Yet they are not untouched by diseases; fishes mostly affected when young carry pathogens which cause various infections naturally or due to environmental pollutants including chemical and hazardous waste. This paper proposed the classification and prediction of diseases of fishes in aquaculture using Deep Learning based customized Convolutional Neural Network with ResNet-50 model. The proposed model performance metric compared with recent state-of-art techniques. ResNet-50 classifies accurately the IMC and type of disease the fishes are suffering from.
27 November 2020 in Multimedia Tools and Applications
Journal Article
RBRam Chandr Barik
Ram Chandr BarikSCSuvamoy Changder
Suvamoy Changder28 July 2020 in IET Image Processing
Journal Article
RBRam Chandr Barik
Ram Chandr BarikSCSuvamoy Changder
Suvamoy Changder
In the recent decade, chaos‐based image encryption algorithms gained attention due to their pros and cons. The authors suggest one such algorithm of image encryption for different colour space using feed forward initial condition to pursue random permutation by combining 1D logistic map with a series of tent maps. The algorithm adds one more novel step to protect and encrypt binary image by concealing it within a cover grey image using bit‐plane decomposition methods. Sensitivity towards initial condition is shown using block division of image by applying a stream of random initial conditions to each block for encryption along with XOR operation which leads the key space high . For better performance analysis, the proposed scheme has been tested with many colour space images including a binary image. The proposed technique is more efficient with respect to time complexity and resistance to vulnerability aspects.
About Me
Dr. Ram Chandra Barik received his PhD Degree from the Department of Computer Science and Engineering of National Institute of Technology (NIT), Durgapur on 20.10.2021. His PhD thesis and research work was verified by IIT Delhi Professor (Within India) and Toyo University Professor Japan (Foreign) with high appreciation. He received his Master of Technology (MTech) in Computer Science and Engineering from SUIIT Sambalpur University in 2011 (MTech research work in IIT Bhubaneswar).
Currently, he is working at C. V. Raman Global University as an Associate Professor in the Department of Computer Science and Engineering(CSIT) since 23.3.2022.
Previously he has worked as an Asst. Prof. and HOD in the Department of Computer Science and Engineering, Vikash Institute of Technology (Affiliated to Biju Patnaik University of Technology and AICTE) Bargarh, Odisha, India.
He had approximately two years of industry experience as a Software Engineer in Accenture Services Pvt. Ltd., Bangalore, India. Received Certificate of Excellence award from Accenture Services Pvt. Ltd. Bangalore for his outstanding contribution in 2007 June during Product release.
Previously he has worked at Veer Surendra Sai University of Technology for 1.8+ Years as Lecturer in Dept. of Computer Science & Engineering and MCA.
His research area includes Computer Vision, Digital image processing, Pattern Recognition, Gen-AI, Machine Learning, Optimization, Image Encryption and Blockchain.