{"id":3891,"date":"2022-09-03T13:07:39","date_gmt":"2022-09-03T13:07:39","guid":{"rendered":"https:\/\/www.vrsiddhartha.ac.in\/cse\/?page_id=3891"},"modified":"2022-09-08T08:43:01","modified_gmt":"2022-09-08T08:43:01","slug":"research-laboratories","status":"publish","type":"page","link":"https:\/\/www.vrsiddhartha.ac.in\/cse\/research-laboratories\/","title":{"rendered":"Research Laboratories"},"content":{"rendered":"

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Research Laboratories<\/h2>\n\t\t\t<\/div>[\/vc_column][\/vc_row][vc_row full_width=”stretch_row_content” css=”.vc_custom_1662211024793{padding-top: 5px !important;padding-right: 5px !important;padding-bottom: 10px !important;padding-left: 5px !important;background-color: #eaf6f6 !important;}”][vc_column width=”2\/3″]
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R&D Centre<\/h2>\n\t\t\t\t

Jawaharlal Nehru Technological University Kakinada(JNTUK), Kakinada, Andhra Pradesh has recognized Department of CSE, Velagapudi Ramakrishna Siddhartha Engineering College,Vijayawada, Andhra Pradesh as a Research Center For The Academic Years 2014-15, 2015-16, 2017-18, 2018-19, 2019-20, 2020-21.<\/span><\/p>\n

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ISRO, RESPOND - Geo Spatial Lab<\/h2>\n\t\t\t\t

Objective:<\/strong><\/span>
\nSuite of best fit algorithms along with pixel level confidence level estimates addressing local scale quantitative and regional scale qualitative bamboo resources assessment<\/span>
\nScope:<\/strong><\/span>
\nStudy area of this project is limited to KarbiAnglong East & West district and DimaHasao District of North-Eastern Region (NER) of India<\/span><\/p>\n

Sanctioned On :<\/strong> 27th Aug 2021, Duration :<\/strong> 3 Years (2021-2024), Funding Agency :<\/strong> ISRO, Department of Space<\/span>
\nProject Amount :<\/strong> Rs 25,30,000\/-<\/span><\/p>\n

Project Title :<\/strong> Qualitative and quantitative classification of mixed bamboo forests using geospatial technology<\/span><\/div>\n
Principle Investigator :<\/strong> Dr. K. Srinivas, Professor, Dept of CSE<\/span>
\nCo- Principal Investigator :<\/strong> Dr. K. K. Sarma,Scientist\/Engineer \u2013 SG, North Eastern Space Applications Centre, Department of Space, Umiam, Meghalaya<\/span>
\nCo- Principle Investigator :<\/strong> Dr. K. Suvarna Vani, Professor, Dept. of CSE<\/span><\/div>\n
Junior Research Fellow :<\/strong> Mr. D. Murali Krishnam Raju<\/span><\/div>\n

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Artificial Intelligence Lab for Remote Sensing Data Analysis<\/h2>\n\t\t\t\t

Objective:<\/strong><\/span>
\nThe main objective of the proposed project is to collect the old datasets, or generate maps form VHRS data, and update the maps\/GIS database using latest VHRS to produce new maps <\/span>
\nScope: <\/strong>Study area of this project is limited to Atal Mission for Rejuvenation and Urban Transformation (AMRUT)<\/span>
\nSanctioned On :<\/strong> 23rd June2022, Duration : 2 Years (2022-2024), <\/span>
\nFunding Agency :<\/strong> ISRO, Department of Space, NRSC<\/span>
\nProject Amount :<\/strong> Rs 17,84,920\/-<\/span>
\nProject Title :<\/strong> Updating of Very Large Scale Urban GIS Maps with Latest Very High Resolution Satellite Data Using Deep Learning Techniques <\/span>
\nPrincipal Investigator :<\/strong> Dr. S.Vasavi, Professor, Dept of CSE<\/span>
\nCo- Principal Investigator :<\/strong> Dr. SC Jaynathi, Scientist SG, Group Head, Urban Studies and Applications (USAG), National Remote Sensing Centre (NRSC), Hyderabad<\/span>
\nCo- Principal Investigator :<\/strong> Dr. M.Sobhana, Sr Asst Professor, Dept. of CSE<\/span>
\nCo- Principal Investigator :<\/strong> Smt N.Malathi , Asst Professor<\/span><\/p>\n\t\t<\/div>[\/vc_column][\/vc_row][vc_row full_width=”stretch_row_content” css=”.vc_custom_1662210628344{padding-top: 5px !important;padding-right: 5px !important;padding-bottom: 10px !important;padding-left: 5px !important;background-color: #f0f2b6 !important;}”][vc_column width=”2\/3″]

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ISRO, ADRIN \u2013 Video Analytics Lab<\/h2>\n\t\t\t\t

<\/p>\n

Objective:<\/strong><\/span>
\nRobustness is one of the main challenges in building good algorithms for video analytics. The ability to maintain accuracy and precision of the algorithm to a wide range of environments is very beneficial. Robust algorithms should be able to perform properly with limited assumptions either indoors or outdoors. In this thesis, we improve algorithm robustness in three main areas: foreground segmentation, observation detection for single object tracking, and a hierarchical multiple hypothesis tracker for multiple-object tracking.<\/span><\/div>\n
Scope:<\/strong><\/span>
\nStudy area of this project is limited to \u00a0Surveillance videos provided by ADRIN<\/span><\/div>\n
Sanctioned On :<\/strong>\u00a014th<\/sup> May 2014,\u00a0Duration :<\/strong>\u00a03 Years (2014-17),\u00a0<\/span><\/div>\n
Funding Agency :<\/strong>\u00a0ISRO, Department of Space, ADRIN<\/span>
\nProject Amount :<\/strong>\u00a0Rs 18,23,000\/-<\/span><\/div>\n
Project Title :<\/strong>\u00a0Robust Video Analytics<\/span><\/div>\n
Principal Investigator :<\/strong>\u00a0Dr. V.Srinivas Rao, Prof & HOD<\/span><\/div>\n
Co- Principal Investigator :<\/strong>\u00a0Dr. S.Venkat Raman, \u00a0Head, Scientist G, ADRIN,Hyderabad<\/span><\/div>\n
Co- Principal Investigator :<\/strong>\u00a0S.Vasavi, Professor, Dept of CSE<\/span>
\nCo- Principal Investigator :<\/strong>\u00a0Dr. K.Srinivas, Professor, Dept of CSE<\/span><\/div>\n
Co- Principal Investigator :<\/strong>\u00a0Dr. P.Ramesh Kumar, \u00a0Sr Asst Professor, Dept. of CSE<\/span><\/div>\n

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Artificial Intelligence & Machine Learning Lab<\/h2>\n\t\t\t\t

Objective:<\/strong>
\nTo motivate the faculty and students to carry out research in Artificial Intelligence and Machine Learning.
\nAchievements:<\/strong>
\nDr. K. Suvarna Vani registered for Post Doctoral Fellowship.
\nPh.D. Awarded during last 4 years:<\/strong>
\n1. Dr. K. Praveen Kumar
\n2. Dr. G. Kranthi Kumar
\n3. Dr. B. Jayanag
\nMr. J. Karthik Submitted Thesis:
\nRegistered for Ph.D:<\/strong>
\n1. Mr. A. Raghu Veera Pratap
\n2. Mrs. M. Vani Pujitha
\n3. Ms. V. Deepa
\nConsultancy:<\/strong>
\nResource App Management from Apsolut Software India Pvt. Ltd., for worth of Rs.75000\/- by Dr. M.Sobhana, and Mr.A.R.V.Pratap.
\nSeed Grant Project funded by Siddhartha Academy of General and Technical Education
\nTitle of the Project :<\/strong> Crop Yield and Price Prediction
\nPrincipal Investigators :<\/strong> Dr. G. Kranthi Kumar
\nSanctioned Amount :<\/strong> Rs. 35000
\nTitle of the Project :<\/strong> Smart Door Lock using Simultaneous Face Liveness and Face Detection Algorithms
\nPrincipal Investigators :<\/strong> Dr. G. Anuradha
\nSanctioned Amount :<\/strong> Rs. 26250<\/p>\n

Publications during 2020-21<\/strong><\/span><\/a><\/p>\n

Publications during 2021-22<\/strong><\/span><\/a><\/p>\n

Title:- Sugarcane price and yield prediction using forecasting models<\/strong>
\nAgriculture is the major thing for which we are targeting. Farmers take part a remarkable role in agriculture sector. Farmers lose a large amount when the value of a product drops after the harvest. Agricultural commodity price variations will influence the country\u2019s economy. Estimation of crop prices and evaluations are performed in order to make a profitable decision prior to the cultivation of a specific crop. Forecasting the price of a crop will help farmers to make smarter judgments, which will help them to save money. We projected the price of some crops and have done the same process for some other commodities. Crops price are predicted based on some factors like previous rainfall and previous year\u2019s prices of the crop. The decision tree regressor algorithm was utilized to assess documented data and forecast price for the forthcoming months. The results were displayed in a mobile app.<\/p>\n

Journals:<\/strong>
\nhttps:\/\/www.tandfonline.com\/toc\/wcim20\/current?cookieSet=1
\nhttps:\/\/www.springer.com\/journal\/12892
\nhttps:\/\/ipindexing.com\/journal-details\/Advance-Research-Journal-of-Crop-Improvement\/828
\nhttp:\/\/researchjournal.co.in\/temp\/temp\/admin_checkpaper2.asp?j=27<\/p>\n

Title:-\u00a0 Smart\u00a0 Door Lock using Simultaneous Face Liveness and Face Detection Algorithms<\/strong><\/p>\n

The rapid growth of technology in the modern society has raised many questions on the terms like security and privacy. Doors act as defense mechanisms against burglars. Therefore, door security system is very much needed to enhance home security. Authentication is a key factor which helps for the identification of authorized people and helps in eradicating fraudulent activities, robberies, and many other social crimes. Facial recognition is the easiest way to unlock the door as one doesn\u2019t need to make any physical efforts to open the door lock and just needs to look into the camera. The electromagnetic lock on the door will unlock if the image is present in the database. A security alert message in the form of an email is sent to the owner of the house in the case of an intruder. But there always lies a chance of spoofing of an authentic user to manipulate the recognition algorithm. A secure system needs Liveness detection in order to guard against such spoofing. In this work, face liveness detection approaches are categorized based on the various types of techniques used for liveness detection. This categorization helps understanding different spoof attacks scenarios and their relation to the developed solutions. A review of the works regarding face liveness detection works is presented which is done using a combination of Blinking analysis and Texture Analysis of any presented face in front of the camera.<\/p>\n

Keywords-<\/strong> Home Automation, Facial recognition using AI, Liveness Detection, Local Binary patterns, Blinking Analysis, Face Recognition<\/p>\n\t\t<\/div>[\/vc_column][vc_column width=”1\/3″][vc_single_image image=”4129″ img_size=”full”][vc_single_image image=”4131″ img_size=”full”][\/vc_column][\/vc_row][vc_row full_width=”stretch_row_content” css=”.vc_custom_1662467066130{padding-top: 5px !important;padding-right: 5px !important;padding-bottom: 10px !important;padding-left: 5px !important;background-color: #7FFD4 !important;}”][vc_column width=”2\/3″]

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Bioinformatics Lab<\/h2>\n\t\t\t<\/div>
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<\/p>\n

Motivated by the School of Computer and Information Sciences, University of Hyderabad and Centre for Cellular and Molecular Biology(CCMB), research was carried out in Pattern mining of Bio-informatics during doctoral research.<\/span><\/p>\n

The three dimensional structure of a protein can be described by a network made from its constituent amino acids as the nodes, and their inter residue interactions as the links among the nodes. For the analysis, here the coarse grained protein contact network is generated from the structural data available in the PDB by considering only the C-alpha atoms as links. This distance map is a 2D symmetric, square matrix where the entry (i, j) <\/em>represents the distance between the nodes i <\/em>and j <\/em>along the protein primary sequence chain from the N to C terminal. The contact map of the PCN is a Boolean matrix of pair-wise inter\u2013residue contact networks.<\/span><\/p>\n

The following problems were addressed: Protein fold recognition problem, 2D pattern extraction algorithms for sparse matrices, Protein secondary structure assignment, Association rule mining of signature for a protein fold, and Contact map overlap problem.<\/span><\/p>\n

As part of this, the work was published in journals, patented and presented in various prestigious conferences and SIGKDD workshop at various countries as per the list given in outcome<\/span><\/p>\n

Currently, Post Doctoral Research is going on AI Pattern modelling for cervical and breast cancer using protein sparse matrices at Artificial Intelligence Laboratory, Ton Duc Thang University, VIETNAM,\u00a0 June 25, 2022.<\/span><\/p>\n

International and National collaborative research is going on in this area. UGC Funded project was carried out under this lab entitled, Mining Alzheimer\u2019s Disease Signal Transduction Modularity Drug Target Networks. Seed Grant from SAGTE to carry out the project entitled A Smart Retina Capturing System to Diagnosis Diabetic Retinopathy, in collaboration with Pinnamaneni Siddhartha Institute of Medical Sciences and Research Foundation and Sai Verna Eye Hospital.<\/span><\/p>\n

Under Graduate\u00a0 and Post Graduate students projects were guided. Ongoing projects are also there under this lab.<\/span><\/p>\n

<\/p>\n\t\t<\/div>[vc_row_inner][vc_column_inner][vc_column_text]<\/p>\n\n\n\n\n\n\n\n\n
Outcome of the Bioinformatics Lab<\/strong><\/span><\/td>\n<\/tr>\n
Publications<\/a><\/span><\/td>\n<\/tr>\n
Design Patents<\/a><\/span><\/td>\n<\/tr>\n
International & National Collaborations<\/a><\/span><\/td>\n<\/tr>\n
Research Experience<\/a><\/span><\/td>\n<\/tr>\n
R & D Project Grants\/ Completed<\/a><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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