Laboratories

Artificial Intelligence Lab

Equipment List
Sl.NoName of Equipment
1HP 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 color monitor
2HP 3330 small form factor, Desktop model, Intel core i5, 4 GB DDR RAM, 500 Sata HDD, DVD Drive, LCD Monitor 18.5, Keyboard, Mouse
3HP Compaq d x 200MT, Intel Pentium IV@ 3.00GHz, 512 MB DDR RAM,80 GB HDD, CD-ROM Drive, HP LV1911  LED BACKLIT Monitors, HP Keyboard & Mouse
4Boston AI/DL Server P100 12GB GPU Server Solution w 2x P100 12GB GPU 1x Supermicro 1U Server Chassis with 1600W Redundant Platinum Level (94%) Power Supply 2x Intel Xeon E5-2609V4 8C 1.7GHz 20M 6.4GT/s 128GB(8x 16GB) DDR4 ECC Reg. 2400MHz DIMM 2x NVIDIA Tesla P100 GPU-12GB
5HP Laser Jet 1022
6D-Link DGS-1024 24 Port 10/100/1000 Unmanaged Switch
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
No. of Journals:26
No. of Conferences:34
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
Inustry Interface
  • IBM
  • Honeywell
  • NVIDIA
People
Mrs. M. Suguna
Dr. R. Leena Sri

 

Microsoft Technical Services \ Knowledge Engineering Lab

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/PG students
  • Research scholars
  • Faculty
Capabilities
  • Designing databases
  • Development of projects using data mining techniques
  • Applying data mining techniques in various domains like medical, text, DNA.
  • Motivating students to use open source data mining tools for analysis.
  • Promoting students to publish papers in conferences/journals using machine learning algorithms.  
  • Promoting students to undergo MTA certification.
Work done
No. of Journals:19
No. of Conferences:46
No. of Ph.D Produced:01
No. of Ph.D Registered:03
Sponsored Projects
Sl.NoTitlePrincipal InvestigatorSponsoring Agency
1Mobile based cardiovascular disease diagnosis system for rural IndiaDr. C. DeisyAICTE
Industry Interface
Microsoft-Global Technical Solution lab (GTSL Bangalore)
People
Mrs. A.M.Rajeswari.
Mrs. B.Subbulakshmi.
Mrs. M. Nirmaladevi.

 

Multicore Lab

Multicore Lab
 
Equipment List
Sl.NoDescription
1HP ProLiant DL180 G6 SERVER
2HP P-IV 3GHz / 512MB RAM / 80GB HDD / 1.44MMB FDD / 52xcdd / 17” TFT Monitor / KB / MOUSE 
3Hp proslimline core I-5 4Gb Ram / 500GB HDD /  DVD / 17”TFT Monitor / KB / MOUSE
4Hp Compaq core duo 4Gb Ram/500Gb Hdd /17” TFT Monitor / Key board /Mouse
6ML-1710P Samsung laser printer
624 PORT SWITCH
Capabilities
  • Writing parallel code using OpenMP and compare the performance with MPI
  • Development of projects / mini 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 conferences/Journal publications
Target users
UG/PG/Ph.D. students and Faculty
Work done
No. of Journals:10
No. of Conferences:14
No. of Ph.D Produced:01 
No. of Ph.D Registered:03
Sponsored Projects
Sl.NoTitleSponsoring Agency
1Multiobjective Evolutionary algorithms for detecting Earthquakes in Coastal regionsTANSCST
2Parallel framework for solving Cryptographic Algorithms on Multicore ProcessorInstitution of Engineers
3Multiobjective Evolutionary algorithm for Cancer ClassificationInstitution of Engineers
4Parallel decision supporting software for agricultural decision makingTANSCST
5Worst Case Execution time analysis of Multicore processorsHoneywell Technology Solutions
6Determinstic execution time analysis of Real time applications on Multicore ProcessorsAICTE sponsored RPS
7Scheduling algorithm to minimize the Worst Case Execution time of safety critical applications on Multicore ProcessorsUGC sponsored MRP
Industry Interface
  • HoneyWell
  • Intel
People
Dr. M. Vijayalakshmi
Mr. S.Prasanna
Mr. V. Vignaraj Ananth

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 Commercial Desktop Model dc 6000 Pro (Intel Core2Duo E 7500 Processor 2.93 GHz, 4 GB Ram, 500 GB SATA HDD,)
3HP Campaq Elite 8300 Microtower Intel(R) core (TM) i5-3470CPU @ 3.20 GHz 3.20 GHz ,8GB Ram, 500 GB SATA HDD,)
4HP Pro 3330SFF Desktop system, Intel Pentium i5 CPU 3.10GHz, 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

 

Networks Lab

 
Equipment List
Sl.NoName of Equipment
1HP 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
2HP 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   
3HP 280 G4 MT System, Intel i5 CPU 3.00GHz, 8 GB RAM, 1 TB HDD, 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
  • Prometric Test Center
  • Pearson VUE Test Center
  • RedHat Academy Test Center
  • CompTIA Academy Test Center
People
  • Mrs.G.Madhu Priya
  • Mr.K.Narasima Mallikarjunan

 

Parallel Processing Lab

Sl.NoName of Equipment
1HP Proliant ML 150 G3 Server, 8 GB RAM, 160 GB HDD
2

HP 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 280 G4 Desktop System, Intel i5-8500 CPU @ 3.00 GHz, 8 GB RAM, 1 TB HDD, Gigabyte Network Card, HP Keyborad and HP Mouse, HP 18.5" LED Monitor.
4HP 280 G2 Desktop system, Intel Pentium i5 6500 CPU 3.20GHz, 8 GB RAM, 1 TB SATA HDD, Giga byte network card, HP keyboards and HP mouse, HP 18.5” LED Monitor
5HP Pro 3330 SFF 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 18.5” LED Monitor
6HP dc6000 Pro Intel Core2 Duo, 8 GB RAM, 500 GB HDD, HP keyboards and HP mouse, HP 18.5” LED Monitor
7Sanyo PLC-XW 50 LCD Projector
8Wireless Access Point - D-Link DWL 2100
9HP Laser Printer
10HP Inkjet Printer
11HP Scanner
12UPS -20KVA Numeric UPS with 30 minutes Backup
13Canon Laser Printer
14Samsung Color Laser Printer
Software
  • Debian Stretch 9.0(64 bit & 32 bit)
  • Ubuntu 16.04
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

 

Security (SSE) Lab

Smart & Secure Environment

Smart and Secure Environment (SSE) is a unique initiative by National Technical Research Organization (NTRO), Government of India in nurturing Collaborative Directed Basic Research (CDBR) by creating a Consortium of eight institutions, with Indian Institute of Technology Madras as the Consortium Leader. The consortium members are

    Anna University, Chennai

    National Institute of Technology, Tiruchirappalli

    Pondicherry University, Puducherry

    Alagappa University, Karaikudi

    Madurai Kamaraj University, Madurai

    Thiagarajar College of Engineering, Madurai and

    PSG College of Technology, Coimbatore

Hardware

    Blade Server – BL 460C, BL 465C, BL 860C, Storage Server, DL 380 G5, Storage Array MS A60

    HP Desktop Computers – 25 No’s

    Canon LBP Printer – 1

    LCD Projector – 1

    2 ton carrier split AC – 6 No’s

    10 KVA UPS – 1

    24 Port D Link Switch – 3 No's

Network

MPLS VPN network with 1Gbps NKN connectivity

Content Generation, Adaptation and Distribution in M-Learning Environment for Mobile Phone Applications project

The m-learning project is a joint intuitive by C-DAC, Hyderabad and Thiagarajar College of Engineering(TCE), Madurai funded by DeitY, New Delhi

Hardware

    HP Workstations(SFF) – 10 No’s

    Panasonic AG-HMC82 Video Camera and Accessories – 2No’s

    SE 800 Data Video Mixer – 1 No

    1202 VLZ3 MACKIE Audio Mixer – 1 No

    ITC100 Intercom Communication Set – 1 No

    DN-60 Data Video Recorder – 1 No

    TLM-404 Data Video TFT Display Monitor – 1 No

    TLM-702 Data Video Dual 7 “TFT LCD Monitor – 1No

    TLM-433 JF Data Video-Aluminium Patch – 1No

    MR-05 MACKIE Active Studio Monitor – 1 No

    ECM-44BMP Sony Wired Lapel Mic – 1 No

    CG-100 + Decklink SDI PG based software – 1 No

    Canara 255 Coollights – 2 No’s

    Canara 455 Coollights – 2 No’s

E-Voting Project

The E-voting project is funded by DeitY, New Delhi to Thiagarajar College of Engineering (TCE), Madurai

Software:

    GNU/Linux Debian/Ubuntu

    Open source software - NS2

People:

Dr. M. P. Ramkumar

Software Engineering Lab

Software Engineering Lab
 
Equipment List
Sl.NoName of Equipment
1HP ML350 g5/QC Xeon E5410/2.33Ghz 1GB ML350  Server
2HP 280 G2MT Intel core i5 processor, 3.5 GHz, 8 GB RAM, 1 TB HDD, 18.5" Monitor
3HP Compaq Elite 8300 MTPC  intel core i5-3470 3.2 GHZ CPU, 8GB RAM, 500 GB HDD, 17”LCD Monitor
4HP Pro 3330 Sytem, 4 GB RAM , intel core i5 processor, 500 GB HDD, 17” LCD Monitor
5HP Compaq dx2280 system 1GB,160HDD 17”LCD Monitor
6HP LaserJet 1000 series
7HP Scanner  scanjet 2400
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.
Target users
UG/PG/Ph.D. students and 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:04
No. of Conferences:20
No. of Ph.D Registered:02
InDustry Interface
  • Honeywell
  • TCS
People
Mrs. A. Malini
Mrs.J. Jane Rubel Angelina

 

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