Microsoft Technical Services Lab

Equipment List
S.No.Equipment ListTypeQuantity
32GB RAM Rack Servers
  1.  
Hewlett-Packard (HP) ProLiant DL385 G2, 4xDual-Core AMD Opteron 2218 @ 2.6GHz,8 core, 32GB RAM, 6*146GB HDD, 4NIC port, iLO 2, VT, x64Server1
  1.  
Hewlett-Packard (HP) ProLiant DL385 G2, 4xDual-Core AMD Opteron 2218 @ 2.6GHz,8 core, 32GB RAM,6*146GB HDD, 4NIC port, iLO 2, VT, x64Server1
  1.  
Hewlett-Packard (HP) DL165G5 Quad core CPU AMD Opteron 2354 2.20Ghz, 4 port NICs,32GB RAM, 2*500GB HDD, VT, X64Server1
  1.  
Hewlett-Packard (HP) Proliant DL585 G2, 4 Dual Core AMD Opteron 8214 @ 2.2GHz Processor, 32GB RAM, 2*300GB HDD, 4 NIC Port, x64, VTServer1
16GB RAM Rack Servers
  1.  
Hewlett-Packard (HP) HP DL140 G3 Intel Xeon CPU E5345 @ 2.33 GHz - 16GB RAM, 500GB HDD, 2 NIC Port, VT, x64Server1
  1.  
Hewlett-Packard (HP) HP DL140 G3 Intel Xeon CPU E5345 @ 2.33 GHz - 16GB RAM, 500GB HDD, 2 NIC Port, VT, x64Server1
  1.  
Hewlett-Packard (HP) ProLiant DL360 G5, 2 Quad Core intel Xeon E5430 @ 2.66GHz Processors, 16GB RAM, 120GB (3*120) HDD, 4 NIC Port, VT, X64Server1
  1.  
Hewlett-Packard (HP) ProLiant DL360 G5, 2 Quad Core intel Xeon E5430 @ 2.66GHz Processors, 16GB RAM, 120GB (3*120) HDD, 4 NIC Port, VT, X64Server1
  1.  
Dell PowerEdge SC1435, 2 Dual Core AMD Opteron 2212 @ 2.00GHz Processor, 16GB RAM, 500GB HDD, 2-NIC Port, VT , X64Server1
  1.  
Dell PowerEdge SC1435, 2 Dual Quad-Core AMD Opteron™ 2354 @ 2.20GHz Processor, 16GB RAM, 250GB (2*250) HDD, 4-Port NIC, VT , X64Server1
  1.  
Dell PowerEdge SC1435, 2 Dual Quad-Core AMD Opteron™ 2354 @ 2.20GHz Processor, 16GB RAM, 250GB (2*250) HDD, 4-Port NIC, VT , X64Server1
  1.  
Dell PowerEdge(TM) 2950,2x Intel(R) Xeon(R) E5430 @ 2.66GHz 2x6MB Cache, 16GB RAM, 2*300 GB HDD,4 NIC Port, VT, X64Server1
  1.  
Dell Computers(TM) Dell optiplex, E6550, Intel(R) Core(TM)2 Duo CPU 2.33GHZ,cache 4MB, RAM 4GB, HDD 160GB, DVD ROM,Personal Computers60
Microsoft Volume License Center
Sl. NoPart NoItem DescriptionQty
  1.  
S3Y- 00001O365ProPlusOpenFaculty ShrdSvr ALNG SubsVL OLV E 1Mth Acdmc AP (1 Y)100
  1.  
KW5- 00359WINEDU ALNG UpgrdSAPk OLV E 1Y Acdmc Ent100
  1.  
FYS- 00001IntuneOpenFclty ShrdSvr ALNG SubsVL OLV E 1Y Acdmc AP100
  1.  
9EM- 00294WinSvrSTDCore ALNG LicSAPk OLV 2Lic E 1Y Acdmc AP CoreLic8
  1.  
R18- 03497WinSvrCAL ALNG LicSAPk OLV E 1Y Acdmc Ent DvcCAL100
  1.  
228- 09538SQLSvrStd ALNG LicSAPk OLV E 1Y Acdmc AP1
  1.  
359- 05414SQLCAL ALNG LicSAPk OLV E 1Y Acdmc Ent DvcCAL20
  1.  
77D- 00161VSProwMSDN ALNG LicSAPk OLV E 1Y Acdmc AP43
Target users
  • UG and PG students
  • Research scholars
  • Faculty and Staff
Capabilities
  • Design of databases applications
  • Data warehouse design and Data Mining
  • Data analytics in various domains like Healthcare, Retail, Finance
  • Data Preprocessing and Analytics using open source data mining tools
  • Recommendation System
  • Image Processing
  • Deep Learning algorithms for computer vision
Work done

Incremental Learning:

  • Frequent Pattern Mining over Data Streams
  • Incremental Mining of Class-Association Rules, Weighted Class Association Rules and Constraint Class-Association Rules

Predictive Analysis:

  • Performance Enhancement of Data Mining Algorithms for Chronic Diseases and Medline Documents
  • Prediction of Chronic Diseases using(i) Amalgam kNN,(ii) Modified Logistic Regression Model and (iii) Boosted Bayes Approach
  • MEDLINE Document Classification of Diabetes Related Journals using (i) Semi- Supervised model,(ii) Optimal Rule Learning for Associative Classification (ORLAC) Approach and (iii) Expectation Maximization-Fuzzy Rule-based Classification (EM-FRBC) Approach

Computer Vision

  • Waste segregation using CNN

UG Projects:

  • Machine Learning approach for Personalized Job Recommendation System
  • Hand Gestures Recognition
  • Online Exam Proctoring System
  • Early Forest Fire Detection using machine learning algorithms
  • Sketch Based Image Recognition to find the Person
  • Virtual Lab Assistant to conduct lab sessions during Lockdown 
  • Human Protein Atlas – Image Classification
  • Multivariate student knowledge Tracing using Convnets
  • Virtual Reality for handling Glossophobia
  • Customer Segmentation using machine learning In R
  • Design and Development of Stylometric based Fake News Detection on Social Media using Natural Language Processing and Machine Learning
  • Identification of Cardiovascular disease with minimum features using machine learning
  • Plant Recognition using CNN

PG Projects:

  • Employee Turnover Prediction
  • Sentiment Analysis of Review (movies and products) and Twitter Data
  • Prediction of Diabetes Mellitus using Logistic Regression
  • Driver Drowsiness Detection using Machine Learning
  • Machine Learning Approach for Organic Manure Recommendation System
  • Waste segregation using IOT and CNN

No. of Journals: 15
No. of Conferences:30

Industry Interface
  • Microsoft
  • IBM
  • Oracle
  • Honeywell
  • Wipro
  • CTS
  • Covance/LabCorp
People
Dr. B. Subbulakshmi
Dr. M. Nirmala Devi
Dr. M.K. Kavitha Devi
Prof. M. Sivakumar
Dr. R. Nagarathna

 

Image: 
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