Microsoft Technical Services \ Knowledge Engineering Lab

Microsoft Technical Services \ Knowledge Engineering Lab

Equipment List
S.No. Equipment List Type Quantity
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, x64 Server 1
  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, x64 Server 1
  1.  
 Hewlett-Packard (HP) DL165G5 Quad core CPU AMD Opteron 2354 2.20Ghz, 4 port NICs,32GB RAM, 2*500GB HDD, VT, X64 Server 1
  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, VT Server 1
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, x64 Server 1
  1.  
 Hewlett-Packard (HP) HP DL140 G3 Intel Xeon CPU E5345 @ 2.33 GHz - 16GB RAM, 500GB HDD, 2 NIC Port, VT, x64 Server 1
  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, X64 Server 1
  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, X64 Server 1
  1.  
 Dell PowerEdge SC1435, 2 Dual Core AMD Opteron 2212 @ 2.00GHz Processor, 16GB RAM, 500GB HDD, 2-NIC Port, VT , X64 Server 1
  1.  
 Dell PowerEdge SC1435, 2 Dual Quad-Core AMD Opteron™ 2354 @ 2.20GHz Processor, 16GB RAM, 250GB (2*250) HDD, 4-Port NIC, VT , X64 Server 1
  1.  
 Dell PowerEdge SC1435, 2 Dual Quad-Core AMD Opteron™ 2354 @ 2.20GHz Processor, 16GB RAM, 250GB (2*250) HDD, 4-Port NIC, VT , X64 Server 1
  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, X64 Server 1
  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 Computers 40
  1.  
 HP 280 Microtower G8, Intel® Core™ i5-11500 @ 2.7GHz, 11 th Gen, RAM 16GB, HDD 1TB Personal Computers  
Microsoft Volume License Center
Sl. No Part No Item Description Qty
  1.  
 S3Y- 00001 O365ProPlusOpenFaculty ShrdSvr ALNG SubsVL OLV E 1Mth Acdmc AP (1 Y) 100
  1.  
 KW5- 00359 WINEDU ALNG UpgrdSAPk OLV E 1Y Acdmc Ent 100
  1.  
 FYS- 00001 IntuneOpenFclty ShrdSvr ALNG SubsVL OLV E 1Y Acdmc AP 100
  1.  
 9EM- 00294 WinSvrSTDCore ALNG LicSAPk OLV 2Lic E 1Y Acdmc AP CoreLic 8
  1.  
 R18- 03497 WinSvrCAL ALNG LicSAPk OLV E 1Y Acdmc Ent DvcCAL 100
  1.  
 228- 09538 SQLSvrStd ALNG LicSAPk OLV E 1Y Acdmc AP 1
  1.  
 359- 05414 SQLCAL ALNG LicSAPk OLV E 1Y Acdmc Ent DvcCAL 20
  1.  
 77D- 00161 VSProwMSDN ALNG LicSAPk OLV E 1Y Acdmc AP 43
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

Blockchain

  • Security in Supply Chain Management

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. N. Anitha
Mrs. S. Saradha
Mrs. S. Jeniba

 

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