Laboratories

Artificial Intelligence Lab

Equipment List
Sl.NoName of Equipment
1HP Proliant ML 110 Intel Xenon (R) CPU 32 GB RAM 2 TB HDD
2HP Elite Desk 800 G4 WKS TWR Intel Core (TM) I5-8500 3.00 GHZ Processor, 16 GB RAM 1TB HDD, 16 GB NVIDA GeForce GTX 1660, IPS Display, HP -keyboard and mouse
3HP 280 G2 Intel Pentium i5 CPU 8GB RAM 1 TB HDD, HP keyboard, HP - keyboard, mouse and monitor
4HP Elite 8300 Intel Pentium i5 CPU core 2 duo 8GB RAM 500 GB HDD, HP - keyboard, mouse and monitor
5Dell OptiPlex E6550 Intel core 2 Duo CPU 2.33GHZ 4GB RAM  160GB HDD DVD ROM
6Nvidia Jetson Nano kit
7D-Link DGS-1024 24 Port  10/100/1000 Unmanaged Switch
8HP Laser jet printer 1022
Software
  • Ubuntu OS
  • NVidia AI/Deep Learning Software / Libraries
  • Muclipse 1.3
  • Junit 4.3
  • EclEmma Code Coverage 3.1.1
Capabilities
  • AI research applications
  • Optimal Scheduling Algorithms 
  • Path Planning Algorithms 
  • Parallel Programming
  • Data Security algorithms 
  • Learning Analytics
Target users
UG/PG/Ph.D. students and Faculty
Work done
  • Security framework for remote data storage using applied Cryptography
  • Simulation and Modeling of Novel devices using Machine Learning techniques
  • Machine Learning algorithms for Network Security
  • Tool development to assist visually impaired persons
  • Multi agent applications for different types of environment
  • Edge Intelligence – Health care services
No. of Journals:30
No. of Conferences:35
No. of Ph.D Produced:1
No. of Ph.D Registered:1
Sponsored Projects
Sl.NoTitleSponsoring Agency
1Modeling and Optimizing a Multi Hypotheses Target Tracker for Maneuvering Targets in Clutter using Evolutionary and High Performance Computing TechniquesAICTE
2International Virtual Laboratory on MechatronicsEUIECCP
3Intelligent Algorithmic Approach for Mobile Robot Navigation in an Indoor EnvironmentCSI
4Design of Parallel Scheduling Algorithms for Cluster Computing EnvironmentCSI
5Design of Masquerader Detection Systems for Information SecurityCSI
6NVIDIA Jetson 2 GB Nanokit Grant for Designing and developing Edge-AI ApplicationsNVIDIA
Inustry Interface
  • Honeywell
  • IBM
  • NVIDIA
  • Kyndryl
  • Dataever Consulting
People
  • Dr. M Suguna
  • Dr. R Leena Sri

 

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Microsoft Technical Services \ Knowledge Engineering 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

 

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Multicore Lab

Equipment List
Sl.NoDescription
1HP ProLiant DL180 G6 SERVER
2Hp proslimline core I-5 4Gb Ram / 500GB HDD /  DVD / 17”TFT Monitor / KB / MOUSE 
3HP COMPAQU ELECT i-5 4GB RAM/ddr3/500Gb Hdd /17” TFT Monitor / Key board /Mouse
4HP 280 G I DESK TOP i-5 4GB RAM/ddr3/500Gb Hdd /17” TFT Monitor / Key board /Mouse
524 PORT SWITCH
6HP Laserjet 1020 Printer
7ML-1710P Samsung Laser Printer
Capabilities
  • Writing parallel code using OpenMP and compare with MPI.
  • Development of projects using Shared Memory Programming models.
  • Perform experiments using Java Programming language.
  • Perform time analysis for real time applications on Multicore processors.
  • Promoting students work for national/international conference/journal publications.
Target users
UG/PG/Ph.D. students and Faculty
Work done
No. of journals:25
No. of Conferences:14
No. of Ph.D Produced:2
No. of Ph.D registered:2
Sponsored Projects
  • Multi objective Evolutionary algorithms for detecting Earthquakes in Coastal regions(Sponsored by TANSCST 2006-07)
  • Parallel framework for solving Cryptographic Algorithms on Multicore Processor(Sponsored by Institution of Engineers 2008-09)      
  • Multi objective Evolutionary algorithm for Cancer Classification.(Sponsored by Institution of Engineers 2008-09)
  • Parallel decision supporting software for agricultural decision making.(Sponsored by TANSCST 2009-10)
  • Task scheduling using parallel genetic algorithms.  
  • Worst Case Execution time analysis of Multicore processors(Honeywell Technology Solutions 2012).
  • Deterministic execution time analysis of Real time applications on Multicore Processors(AICTE sponsored RPS 2013-2016)
  • Scheduling algorithm to minimize the Worst Case Execution time of safety critical applications on Multicore Processors(UGC sponsored MRP 2013-2016)
Industry Interface
  • HoneyWell
  • Intel
People
Dr. M. Vijayalakshmi, Professor
Dr. S. Prasanna, Assistant Professor
Ms. C. Santhiya, Assistant Professor
Mr. B. Veerabadran, Spl.Gr.

Multimedia Lab

Equipment List
Sl.NOName of Equipment
1HP Proliant Server Model – ML 110 G5 (Quad Core Intel Xeon 3220 2.4 GHz Processor)
2HP Campaq Elite 8300 Microtower Intel(R) core (TM) i5-3470CPU @ 3.20 GHz 3.20 GHz ,8GB Ram, 500 GB SATA HDD)
3HP Pro 3330SFF Desktop system, Intel Pentium i5 CPU 3.10GHz, 4 GB RAM, 500 GB SATA HDD
4HP Commercial Desktop Model dc 6000 Pro (Intel Core2Duo E 7500 Processor 2.93 GHz, 4 GB Ram, 500 GB SATA HDD)
5HP LaserJet 1022 Printer
6

Virtual reality Kit- HTC VIVE VR SYSTEM

Software
  • Unity 3d
  • Google Sketchup web
  • WebVR Tools
Capabilities
  • Designing mobile applications using Android Studio
  • Designing Webpages and web app development 
  • Development of projects / mini projects using various Data Mining Techniques.
  • Development of virtual environment using Unity 3D, blender and google sketchup
  • Development of projects Multimedia tools
Target users
UG/PG/Ph.D. Students and Faculty
Work done
Projects
  • Developed  TCE virtual tour
  • Content based image retrieval based on relevance feedback for natural images
  • Developed movie about “Resources of Madurai” for Maditssia, Madurai
  • Developed animation of Avatar Poses for metal sheet bending for Amadasoft, Chennai
  • Developed miniprojects on Visualization techniques
  • Developed projects using temporal data mining Techniques and content based image retrieval
  • Developed projects using wireless networks
No. of International Journals:11
No. of National Journals:01
No. of International Conferences:16
No. of National Conferences:06
No. of Ph.D Produced:02
Industry Interface
Kadaieswari Reddy Mix Concrete
People
Dr.G.S.R.Emil Selvan
Dr.N.Shivakumar

 

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Networks Lab

Equipment List
Sl.NoName of Equipment
1HP 280 G4 MT System, Intel i5 CPU 3.00GHz, 8 GB RAM, 1 TB HDD, HP keyboards and HP mouse, HP color monitor
2HP Compaq Elite 8300 Micro tower Desktop system, Intel Pentium i5 CPU 3.10GHz, 8 GB RAM, 500 GB SATA HDD, Giga byte network card, HP keyboards and HP mouse, HP 18.5” LED Monitor
3HP Pro 3330 Small Form Factor Desktop system, Intel Pentium i5 CPU 3.10GHz, 4 GB RAM, 500 GB SATA HDD, Giga byte network card, HP keyboards and HP mouse, HP color monitor   
4Canon Image Class MF3010 Printer
Software
  • Ubuntu 18.04
  • Open JDK 1.8
  • Redhat 7 Enterprises
Capabilities
  • Pearson VUE Certification Center
  • Red Hat Academy
  • CompTIA Academy
  • Linux Network Programming and Intrusion Detection System
  • Attacker Behavior Analysis
  • Virtual Machine Migration
Target users
  • UG/PG students of TCE
  • External IT professionals
Work done
  • Code Validator
  • Cloud Computing Test Bed
  • DDoS attack mitigation using IP traceback
  • Posting List automation for Aravind Eye care Systems using .NET framework
  • Toll booth automation for Madurai Corporation using J2EE framework.
  • Migration of attacked VMs to ensure availability of VMs
  • Categorization of attackers based on the attack steps and their corresponding network and system behavior analysis.
No. of Journals publications: 04
No. of Conference publications: 10
No. of Ph.D Registered: 02
Industry Interface
  • Pearson VUE Test Center
  • RedHat Academy Test Center
  • CompTIA Academy Test Center
People
  • Dr.G.Madhu Priya
  • Dr.K.Narasima Mallikarjunan

 

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Parallel Processing Lab

Sl.NoName of Equipment
1HP ProLiant ML 150 Gen9 Tower Server, Intel(R) Xeon(R) CPU E5-2620 v3 @ 2.40 GHz, 48 GB RAM, 4 * 1 TB SCSI HDD, Giga byte Network card, HP keyboard – (1 No)
2HP Z2 G8 Tower Workstation Desktop PC Intel(R) Xeon(R) W-1350 @ 3.30 GHz, 32 GB DDR4 @2667 MHz RAM,500 GB SAS HDD, 1 TB SATA HDD, NVIDIA Quadro P4000 Card,  Gigabyte Network card, HP keyboards and HP  mouse - (2 Nos)
3HP Compaq Elite 8300 Micro Tower Desktop system, Intel(R) Core(TM) i5-3470 CPU 3.20GHz, 8 GB RAM, 500 GB SATA HDD, Giga byte Network card, HP keyboard and HP  mouse, HP 18.5” TFT LED Monitor - (9 Nos)
4HP 280 G4 Micro Tower Desktop System, Intel i5-8500 CPU @ 3.00 Ghz, 8 GB RAM, 1 TB SATA HDD, Giga byte Network card, HP keyboards and HP  mouse, HP 18.5” TFT LED Monitor - (7 Nos)
5HP 280 G2 Micro Tower Desktop System, Intel i5-6500 CPU @ 3.20 Ghz, 8 GB RAM, 1 TB SATA HDD, Giga byte Network card, HP keyboard and HP  mouse, HP 18.5” TFT LED Monitor - (7 Nos)
6HP Pro 3330 SFF Desktop system, Intel Pentium i5-2400 CPU 3.10GHz, 4 GB RAM, 500 GB SATA HDD, Giga byte Network card, HP keyboard and HP mouse, HP 18.5 “ TFT LED Monitor - (3 Nos)
7HP dc6000 pro Micro Tower Desktop System, Intel Core2 Duo E7500 @ 2.93GHz, 8 GB RAM, 500 GB HDD, HP Keyboard and HP Mouse, 18.5” TFT LED Monitor - (20 Nos)
8HP dx 2280 Micro Tower Desktop System, Intel Core2Duo CPU E4500 2.2GHz, 1 GB RAM, 160 GB SATA HDD, Giga byte Network card, HP CD ROM, HP keyboard and HP mouse, 17 “ LCD monitor - (3 Nos)
9Epson EB-X05 XGA LCD Projector (1 No)
10Sanyo PLC-XW 50 LCD Projector (1 No)
11Wireless Access Point - D-Link DWL 2100(1 No)
12HP Laser 1200 Printer (1 No)
13HP Ink Tank Wireless 419  Printer (1 No)
14Canon LBP 2900B Laser Printer (1 No)
15Canon LIDE 100 Scanner (1 No)
16Samsung CLX-6260ND Color Laser Multifunction Printer (1 No)
Software
  • Debian 11.3 (Bullseye) 64 Bit – Operating System
  • Ubuntu 20.04 (Focal Fossa) 64 Bit – Operating System
 
Capabilities
  • Linux Kernel Programming
  • Design of three-tier FOSS applications
  • Enterprise Security tools
  • Language Processing
  • Parallel Programming
  • Cloud Computing
  • Scheduling
Target users
UG/PG/Ph.D. students and Faculty
Work done

Projects:

Community Detection

  • Developed a graph theoretic algorithm for detecting communities in an online social network.
  • Analyzed the effect of multi-word features on the communities formed.

Parallel cut-clustering

  • Developed and benchmarked a parallel algorithm to identify clusters of web documents to automatically form web directories.
  • The algorithm is a hybrid algorithm which can run on distributed and shared memory parallel programming platforms.
UG Projects
  • Tuxedo Chess Engine
  • IJammer
  • gfslicer
  • Parallel implementation of Signature Recognition using Artificial Neural Network.
  • TCE Firewall
  • TCE-NET Meeting
  • TCE – iNet
  • TCE Mail Server
PG Projects
  • Cluster Computing in Linux.
  • Gaim Localization
  • SSGL: Semi Supervised Grammatical Inference
  • Face Recognition using Artificial Neural Networks
  • Part of Speech Tagging Using Trigram based SVM Classifier
  • TCE Cloud Using Virtualization
  • Yahoo’s Hadoop based Dynamic Scheduling
  • DDOS Experimental setup
College Web Portals
  • TCENet – An ERP System that’s been designed using FOSS handling the day-to-day activities of an academic institute from student admission to Alumni association
  • Single Sign on (CAS)
  • TCE Website – designed using CMS
  • Online Profile Updation –Staff
  • TAA
  • TAMS - Leave and Time Management using biometric system
  • TOSS
  • TEAM
No. of Journals:09
No. of Conferences:22
No. of Ph.D Produced:02
No. of Ph.D Registered:02
Inustry Interface
  • Spike Source
  • Google
  • Yahoo
  • Red Hat Linux
  • Midas Communications
  • C-DAC, Bangalore
  • Honeywell
  • HP
  • Nokia
  • NetApp, Bangalore
  • Torres Networks, Bangalore
  • Ericsson
  • Thought Works
People
Dr.S.Mercy Shalinie
Dr.K.Sundarakantham

 

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Software Engineering Lab

Equipment List
Sl.NoName of Equipment
1HP ML350 G5/QC Xeon E5410/2.33 Ghz,1GB ML350 Server
2HP 280 G2MT Intel core i5 Processor,3.5 Ghz,8GB RAM, 1TB HDD,18.5’’ Monitor
3HP COMPACT Elite 8300 MTPC Intel Core i5-3470 3.2 Ghz CPU, 8GB RAM, 500 GB  HDD,17’’ LED Monitor
4HP PRO 3330,Intel core i5 processor,4GB RAM,500 GB HDD,17’’ LCD monitor
5HP COMPAQ DX 2280 system,4GB DDR RAM,160 GB HDD,17’’ LCD monitor
6HP LaserJet 1020 plus Printer -1No.
Software
  • Junit 4.3
  • EclEmma Code Coverage 3.1.1
  • Muclipse 1.3
  • DIA 
Capabilities
  • Unit testing of JAVA applications using Junit tool.
  • Analyze the code coverage of test cases.
  • Performing mutation testing.
  • Performing regression testing for any given software.
  • Data Footprint reduction using Deduplication.
  • Designing of mobile applications.
  • Promoting students work for Journal publications.
  • Block chain based applications.
  • Internet of Things applications.
Target users
UG/PG students
Research Scholars
Faculty
Work done
Projects:

  • Efficient Software Maintenance through Test case Prioritization.

  • WARTA - Automated tool for Web Based Regression Testing

  • JDP -  A tool to prioritize test cases based on Jaccard distance

  • Test Simple- A test management tool to automate the testing

  • Fault Localization for COTS component using dynamic analysis technique

  • Data deduplication using Permutation hashing

    No. of Journals: 11
    No. of Conferences: 25
    No. of PhD Registered: 02

InDustry Interface
  • Honeywell
  • TCS
People
Mrs. Raja Lavanya M.E., ( PhD)
Mrs. R. Logeswari Saranya M.E., ( PhD)

 

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