Prof. M.K. Ghose joined Sikkim Manipal Institute of Technology in 2006 as the Head of the Computer Science and Engineering Department. During his tenure, he expanded the department by starting new programs and restarting existing ones. From 2010 to 2014, he also served as the Dean of Research and Development, negotiating sponsored projects. Currently, his position is Dean of Academics. Prior to SMIT, Dr. Ghose worked for the Indian Space Research Organisation from 1981 to 2006, contributing to mission simulation, quality analysis, and remote sensing. His research interests include data mining, simulation, networks, and image processing.
Employing Simple Connected Pattern Array Grammar for Generation and Recognition of Connected Patterns on an Image Neighborhood
1Vishnu Murthy. G, 2V. Vijaya Kumar, 3B.V. Ramana Reddy
1,2Anurag Group of Institutions, Hyderabad, AP,India.
3Mekapati Rajamohan Reddy Institute of Technology and Science, Udayagiri, AP,India.
Employing Simple Connected Pattern Array Grammar for Generation and Recognition of Connected Patterns on an Image Neighborhood
1Vishnu Murthy. G, 2V. Vijaya Kumar, 3B.V. Ramana Reddy
1,2Anurag Group of Institutions, Hyderabad, AP,India.
3Mekapati Rajamohan Reddy Institute of Technology and Science, Udayagiri, AP,India.
Dynamic Scheduling of Data Using Genetic Algorithm in Cloud Computingijcoa
Cloud Computing is the utilization of pool of resources for remote users through internet that can be easily accessible, scalable and utilization of resources. To attain maximum utilization of resources the tasks need to be scheduled. The problem in scheduling is allocating the correct resources to the arrived tasks. Dynamic scheduling is that the task arrival is uncertain at run time and allocating resources are tedious as several tasks arrive at the same time. To avoid this scheduling problem, Genetic Algorithm is used. Genetic algorithm is a heuristic method that deals with the natural selection of solution from all possible solutions. Using genetic algorithm the tasks are scheduled according to the computation and memory usage. The tasks are scheduled dynamically. The execution time is reduced by parallel processing. The scheduled data is stored in cloud. By using GA to obtain global optimization.
Dynamic Scheduling of Data Using Genetic Algorithm in Cloud Computingijcoa
Cloud Computing is the utilization of pool of resources for remote users through internet that can be easily accessible, scalable and utilization of resources. To attain maximum utilization of resources the tasks need to be scheduled. The problem in scheduling is allocating the correct resources to the arrived tasks. Dynamic scheduling is that the task arrival is uncertain at run time and allocating resources are tedious as several tasks arrive at the same time. To avoid this scheduling problem, Genetic Algorithm is used. Genetic algorithm is a heuristic method that deals with the natural selection of solution from all possible solutions. Using genetic algorithm the tasks are scheduled according to the computation and memory usage. The tasks are scheduled dynamically. The execution time is reduced by parallel processing. The scheduled data is stored in cloud. By using GA to obtain global optimization.
Educate to elevate the students and make them prepare for the industrial requirements of IT Industry and all their future endeavors. And also interested both in academic and research sector for self-development.
M.Plan First Semester Integrated Brochure - School of Planning and ArchitectureLakshman R
This is basically what we do in M.Plan 1st Semester SPA Delhi. All streams (Regional Planning, Transport, Housing, Environment and Urban Planning) are integrated for the foundation semester in town planning after which each steam is separated and a specialization is introduced in semester 2, 3 and 4. This is also a fun time where we learn a lot of basics, meet people of all other streams and build networks.
Texture Classification Based on Binary Cross Diagonal Shape Descriptor Texture Matrix (BCDSDTM)
1P.Kiran Kumar Reddy, 2Vakulabharanam Vijaya Kumar, 3B.Eswar Reddy
1RGMCET, Nandyal, AP, India, 2Anurag Group of Institutions, Hyderabad, AP, India
3JNTUA College of Engineering, India.
1. Prof. (Dr.) M.K.Ghose, a former Senior Scientist of Indian Space Research Organisation, Department of
Space, Govt. of India joined the Sikkim Manipal Institute of Technology as and Professor and Head of the
Department of Computer Science & Engineering at Sikkim Manipal Institute of Technology, Majitar,
Sikkim, India in June, 2006. As Professor & Head of CSE Department, Dr. Ghose has expanded the scope of
the department by starting M. Tech in CSE, One year PG Diploma course in Geo-Informatics, restarting BCA
course and recently started Dual Degree MCA.
In addition to his assigned responsibilities as HOD, Dr. Ghose was in additional charge of Dean (R & D) during
June 2010 to July 20132014 and negotiated and brought many sponsored
projects for himself as well as the institute. He had also carried out additional responsibilities of Head, SMU-IT
as overall in-charge of System Network, Internet, WiFi connectivity etc. of the entire university for the period
June 2008 to June 2010.
The present position of Dr. Ghose at SMIT since July 2014 is Dean (Academics).
During his tenure at Vikram Sarabhai Space Centre, ISRO, Trivandrum for the period from Sep 1981 to Dec
1994, he had contributed in the areas of Mission simulation & performance analysis and Quality & Reliability
Analysis of ISRO Launch vehicles and Satellite systems. During Dec 1994 to June 2006, he worked at Regional
Remote Sensing Service Centre, ISRO, IIT Campus, Kharagpur in the areas of RS & GIS techniques for the
natural resources management. He was also associated with Assam Central University, Silchar as COE and
HOD of Computer Science Department (1997-2000) and Regional Engg. College (NIT), Silchar (1979 – 1981)
as Teaching Asst.
His areas of research interest are Data Mining, Simulation & Modeling, Network, Sensor Network, Information
Security, Optimization & Genetic Algorithm, Digital Image processing, Remote Sensing & GIS and Software
Engineering. Dr. Ghose chaired a number of national/international conference sessions. He has conducted quite
a number of Seminars, Workshop and Training programs in the above areas and published 249 research papers
in various national and international journals of repute and presented/ published in several international/
national conferences. Till date, he has produced 8 Ph.Ds and 2 theses are under evaluation. Presently 8 scholars
are pursuing Ph.D work under his guidance. He is having 8 sponsored projects worth of 1 crore. Dr Ghose also
served as technical consultant to various reputed organizations like IIT, Chennai, IIT Kharagpur, WRI, Trichy,
SCIMST, KELTRON, HLL, Trivandrum.
He can be reached at mrinal.ghose@smu.edu.in; deanacad.smit@gmail.com