1. University of Bridgeport School of Engineering Prof. Tarek Sobh Vice President for Graduate Studies and Research Dean, School of Engineering

2. University of Bridgeport School of Engineering Capabilities and research facilities / groups

3. Multimedia Information Group (MIG) Laboratory COMPUTER SCIENCE & ENGINEERING DEPARTMENT University of Bridgeport, Bridgeport, CT

4. MIG @ UB Multimedia Information Group @ UB – Department of Computer Science and Engineering at UB, CT Location: Charles A. Dana Hall #234 People – Prof. Jeongkyu Lee – 2 PhDs and 2 MS students Collaborators – Prof. JungHwan Oh at UNT – Prof. Shou-jiang Tang at UTSW – Prof. Dongwon Lee at PSU http://www.bridgeport.edu/~jelee/mig UNIVERSITY OF BRIDGEPORT Multimedia Information Group

5. Our Vision http://www.bridgeport.edu/~jelee/mig UNIVERSITY OF BRIDGEPORT Multimedia Information Group

6. Active Research http://www.bridgeport.edu/~jelee/mig Developing algorithms and S/W for event detections from WCE (Wireless Capsule Endoscopy) videos Funded from IntroMedic, Co. Ltd., Korea Collaborator: Dr. Tang at UTSW, Dr. Oh at UNT TaeKwonDo project Vlinkage: Video Linkage project Multimedia Ontology SmartView project Developing algorithm and prototype system for automatic judge of TaeKwonDo poomsae Sponsor: International College at UB, WTF Collaborator: Prof. Kim of Martial Art dept. at UB Developing a noble method for video and image matching Applicatoin1: Video Copy Detection for YouTube Applicatoin2: BIM (BLASTed Image matching) Collaborator: Dr. Dongwon Lee at Penn State University Developing a new algorithm for automatic generation of Multimedia Ontology Target applications: Medical videos, Surveillance camera, and Military videos Looking for sponsors MIG UNIVERSITY OF BRIDGEPORT Multimedia Information Group

7. Proposal Title: Active Stability System using Visual Information for Gun Launched Hybrid Projectiles Overview of Active Balancing System Operational Capability Operate over a wide range of general environmental conditions. Capture visual information using CCD mounted on top of UAV. Generate signal using visual features, such as color signal. Compute the stability score using FFT and Energy function. Control motors to balance UAV. Proposed Technical Approach Task1: Installation of Visual Equipments Mount CCD camera on the tip of UAV Install SoC (System on a Chip) Task2: Development of Visual Analysis Module Develop and implement feature signals generation. Develop and implement FFT and Energy function. Develop and implement stability scoring function. Task3: UAV Control Module Control UAV for stability. Test the active stability system. Cost and Schedule Total Cost: $ ?????? Deliverables Technical report describing compiled results of active stability system for Gun Launched Hybrid Projectiles. Prototype system integrating developed system. Corporate Information.Department of Computer Science and Engineering University of Bridgeport, Bridgeport, CT 06604 Phone: (203) 576-4397, Fax: (203) 576-4765 Email: jelee@bridgeport.edu (Dr. Jeongkyu Lee)

8. Robotics, Intelligent Sensing and Control Lab (RISC) University of Bridgeport School of Engineering

9. Outline of Outgoing Project Online Automation and Control: An Experiment in Distance Engineering Education E-Learning: Case Studies in Web-Controlled Devices and Remote Manipulation Prototyping Environment for Robot Manipulators Manipulator Workspace Generation and Visualization in the Presence of Obstacles Kinematic Synthesis of Robotic Manipulators from Task Descriptions New concept in optimizing the manipulability index of serial Manipulators using SVD method

10. Outline of Outgoing Project Recovering 3-D Uncertainties from Sensory Measurements for Robotics Applications Industrial Inspection and Reverse Engineering Sensing Under Uncertainty for Mobile Robots Robot Design and Dynamic Control Simulation Software Solutions From Task Points Description. RISCBot II

11. Online Distance Laboratories Using Automation and Telerobotic (controlling devices from a distance) systems Real-time laboratory experience via the internet 1.Tele-operation of Mitsubishi Movemaster 2.RISCBOT – A Web Enabled Autonomous Navigational Robot 3.Tele-operation of the FESTO Process Controller

12. Capabilities and Research Facilities Sensing under uncertainty. Sensor-based distributed control schemes. Control and planning for autonomous mobile systems. Modeling and recovering uncertainty in 3-D structure and motion. Dynamics and kinematics generation and analysis for multi-DOF robots. Active observation and control of a moving agent under uncertainty. Automation for genetics application. Manipulator workspace generation in the presence of obstacles. Turbulent flow analysis using sensors within a DES framework

13. Other Projects

15. Workspace Dimensions and Coordinates of the Task-Points Velocity and Acceleration Requirements Obstacles, Working Medium, and Trajectory Biases Restrictions on Manipulator Configuration

17. School of Engineering University of Bridgeport

19. Manipulability Bands of Puma 560 in 2D workspace

21. RISCbot II

22. CT Post

23. Wireless & Mobile Communications (WMC) Laboratory COMPUTER SCIENCE & ENGINEERING DEPARTMENT University of Bridgeport, Bridgeport, CT

24. WMC Current Research Projects 1.Wireless Multiuser Communications for Cellular and Mobile Networks BER and SNR Analysis of DS-CDMA Cellular Networks Multiple Access interference (MAI) Cancellation for Wireless Multiuser Receivers Analysis of Processing Gain for Wireless Multiuser DS-CDMA Systems Computational Complexity and Algorithm Optimization for 3G Cellular Networks

25. WMC Research Projects 2.Wireless Mesh Networks The Use of Orthogonal Frequency Code Division (OFCD) in Broadband Wireless Mesh Networks Efficient Routing Algorithms for Wireless Mesh- Hypercube (M-H) Networks

26. WMC Research Projects (Cont..) 3.Mobile Ad Hoc Networks (MANET) The Best and Worst Case Capacity Analysis of MANET Efficient DSR Based Routing Scheme for MANET Minimizing the Malicious Behavior of Mobile Nodes for Maximizing the MANET Data Throughput 4.Wireless Sensor Networks 1.Resource Optimization in Wireless Sensor Networks Via Self-Adaptive Methodology 2.Minimizing the Energy Consumption of Wireless Sensor Nodes Using Active Node Optimization Method

27. Related Recent Results CDMA Receiver: Multiuser Receiver A class of CDMA receivers known as multiuser receivers It exploit the available information about the spreading sequences and mobile channel impulse responses of all the CDMA users The goal is to improve the performance of the wireless CDMA users Classification of CDMA detectors WMC research group focuses on this part

28. Related Recent Results Antenna Design for Cellular Networks Advantages – Co-channel interference reduction – Collect multipath components – Delay spread reduction – reduce handoff rate – stand alone technique Disadvantages – Linear increase in Interference – Cancel only L-1 interference – Difficult to achieve convergence in low SNR Figure: Adaptive Antenna Array WMC research group focuses on the utilization of adaptive antenna array with CDMA systems for achieving optimal performance

29. Related Recent Results Multiple Access interference Cancellation for Wireless Multiuser Receivers Applications: Military RF Consideration – High-power, fixed-frequency transmitters make easy targets. Easy to jam Easy to destroy 90.9 WETA Missile seeker head locks-on RF transmitters AGM-88 High-speed Anti-Radiation (HARM) missile

30. University of Bridgeport Faculty of Engineering Other relevant faculty expertise

31. Ausif Mahmood Video analysis, capture and processing. Signal processing. Video and data compression technologies. Electronics circuit design.

32. Ausif Mahmood Image processing projects such as Object recognition, Face Recognition using Eigen Faces and 2-D FFT. Developing various hardware prototypes based on microcontrollers such as controlling image capture. Hardware and software development, including having developed some commercial projects involving wireless communication, GPS tracking, and RS-232 communication.

33. Navarun Gupta Programming a real-time digital signal processing (DSP) chip to do specific tasks like filtering, image processing and mathematical calculations. Implementing such an autonomous image tracking / detection system.

34. Neal Lewis and Elif Kongar They can assist with various forms of simulation including: Fluid dynamics of airborne objects. Sensitivity analysis using Monte Carlo techniques Simulation of multi-step operations using Arena software. Simulation and Six Sigma techniques which are recommended in the design stage of the small size product to maximize product reliability.

35. Xingguo Xiong Low power VLSI circuit design and VLSI testing. For the flying UAS bullet project, low power circuit design reduces the power consumption of the control circuits so that the battery life can be extended. MEMS (Microelectromechanical Systems) and nanotechnology. By using MEMS technology, the size, weight and cost of the UAS bullet can be greatly decreased. For example, he can develop the MEMS micromotor and other various MEMS sensors/actuators for the UAS bullet. Performing shock and vibration simulation/testing for the UAS bullet.

36. Saikat Ray Target demo: A UAS hanging by a thread with (micro)-motors installed for bending the wings. The wings are controlled from a laptop/PC through wireless link. Building the wireless link (system) with relatively small form factor.

37. Lawrence Hmurcik Electronics circuit design Microelectronics Signal processing Controls DSP Circuit Design / Analysis Simulation Micro Electronics/ MEMS