CASE
 
Massively Parallel Fingerprint Recognition System An ICT R&D Funded Project

CASE is seting new technology trend in biometrics based identification and verification systems. CASE launched the research work on the project “Massively Parallel Fingerprint Recognition System Architecture for Performing Multimillion Matches per Second” in Sep 2008 after winning a grant of 15 million Pak Rupees from National ICT R&D Fund. The project was directly contributed by seasoned engineers and research fellows from CASE and collaborative partner CARE. The research project invented state of the art fingerprint matching algorithms which transformed into a novel scalable fingerprint matching processor. The same novelty of the research project brought accolade to CASE by capturing first position in the R&D category at Pakistan All Software House Association ICT Awards 2010. The developed technology has the capability to attract a wide spectrum of commercial and military applications. As an outcome of this project, a research group has been developed in CASE working on state of the art algorithms in biometrics in general and fingerprint matching in particular.

Arrhythmia and Sudden Death Syndrome Detection Hybrid Network Based Telemedicine System

Electrocardiography (ECG) is one of the tools of cardiac monitoring. It is a dilemma that despite the installation of hundreds of ECG machines in hospitals and clinics throughout the country, patients with severe arrhythmic abnormalities are often misdiagnosed or mistreated usually in rural areas due to unavailability of expert cardiologists at the ECG monitoring station. Moreover, most ECG machines presently installed do not have capabilities like high resolution signal acquisition, remote monitoring, real time data storage and patient database management.

CASE Faculty members Dr. Zaheer Ahmed, Dr. Shoab A. Khan, Dr. Tahir Zaidi and their team have developed a prototype system to demonstrate geographically distributed installation of network enabled ECG recording and analysis stations with normal and high resolution digital ECG machines capable of self diagnosing a patient for different arrhythmic abnormalities as well as early detection of risks associated with fatal arrhythmias which can lead to sudden cardiac death by running state of the art signal processing algorithm. The system provides 24/7 ECG recording and analysis facility with universal connectivity through dialup, Ethernet, GPRS, Radio and Satellite for connection to the central server located in the Cardiac Control Center (CCC) of a Central Hospital. The system also have capability to provide expert opinion to patients with severe arrhythmic abnormalities by transmitting their physiological data to the cardiologists at a central hospital through a universal communication device already developed in CARE. The ECG record and the patient profile are stored at the server and a database for patients and their cardiac history is managed for future reference as well as for off-line analysis and data-mining.

The key benefits of this project are given below:

  • This system would make capabilities like High Resolution signal acquisition, remote monitoring, real time data storage and patient database management.

  • The system could also be installed in ICU and CCU units in hospitals where issues like digital storage and automatic alarm triggering can be very useful. The system would form a single self-intelligent workstation able to diagnose the patient for different arrhythmias and alarm the Server, Clinical Alarm Station (CAS), in case of emergency and provide treatment to patients in real time. It would also alert the patients for any risks of path-o-physiological disorders.

  • It will develop and establish a gateway and Cardiac Control Center (CCC) at a central hospital to receive physiological data from remote patients and provide them consultations from expert cardiologists and maintain repository to keep ECG records for future reference and data mining.

  • This project will benefit needs of a common man and improve health standards and facilities in Pakistan remarkably. Patients would benefit most as they won't have to wait in long queues to get their ECG taken and consultation from an expert cardiologist in any emergency. People would also benefit from telemedicine technology thereby getting effective treatment even in remotest regions of the country. Medical Professionals and cardiologists, in particular, would benefit by attending their patients remotely.

  • The project would lay foundation to undertake projects in Biomedical Engineering.

  • The developed technology would also have a huge international market.

A Universal Hardware / Software Co-Research Suite for Multi-Gigabit Networking Applications

CASE is seting new technology trend in biometrics based identification and verification systems. CASE launched the research work on the project “Massively Parallel Fingerprint Recognition System Architecture for Performing Multimillion Matches per Second” in Sep 2008 after winning a grant of 15 million Pak Rupees from National ICT R&D Fund. The project was directly contributed by seasoned engineers and research fellows from CASE and collaborative partner CARE. The research project invented state of the art fingerprint matching algorithms which transformed into a novel scalable fingerprint matching processor. The same novelty of the research project brought accolade to CASE by capturing first position in the R&D category at Pakistan All Software House Association ICT Awards 2010. The developed technology has the capability to attract a wide spectrum of commercial and military applications. As an outcome of this project, a research group has been developed in CASE working on state of the art algorithms in biometrics in general and fingerprint matching in particular.

Innovative and emerging server technologies including multi-core processing, virtualization, networked storage, and I/O convergence are contributing to a growing bandwidth requirement in the enterprise computing environment making it increasingly challenging for service providers to accommodate customer requests for services due to the bandwidth constraints of their network core. On the other hand, IT industry is transitioning away from network devices dedicated to forwarding packets and towards integrated service devices capable of multiple functions beyond routing like enhanced security; voice, video and conferencing; sophisticated traffic management; and even triple play. Likewise, the complexity of Internet-based services increased the demand for advanced monitoring applications designed for high-speed networks. The increased complexity of monitoring tasks such as anomaly detection, intrusion detection and traffic classification made software extremely attractive because it is more flexible and less expensive than dedicated hardware. The challenge now is how to design a common scalable platform despite the tendency to spread workload like applications, control plane and data plane across a diverse mix of hardware and software components.

To overcome this challenge a HW/SW co-research suite is developed at Net Centric Communications (NCCOMM) Group under the supervision of CASE Faculty members Dr. Zaheer Ahmed, Dr. Shoab Ahmed Khan and NCCOMM team members Asrar Ashraf, Nadeem Yousaf and Muhammad Shahbaz. The notion is to enable researchers compete with the invariable changes in the networking domain by providing them a scalable, customizable and above all a practical research platform. The research suite is an attractive combination of both hardware and software elements. The hardware is an FPGA based architecture provided with an initial code base for quickly building networking prototypes. In software a customizable network stack has been provided in kernel for communication between user and physical space.

NCCOMM is also collaborating with NetFPGA-10G group at Xilinx on various aspects of building a highly accessible and easy to manage user-friendly network suite using state of the art technologies including next-generation of Xilinx Embedded CAD tools.

Key Features:

Key features of the research suite are:

  • A common Packet bus interface for cross component connectivity in hardware

  • 1G/10G Ethernet Interfaces with Packet bus interface

  • Packet aggregator for streaming multiple channels on a single channel

  • Packet distributor for forwarding packets to selected channel(s)

  • PCI Express Interface for host connectivity with DMA and multi-channel support

  • A user data path interface for programmed input/outputs

  • RLDRAM2, DDR2 and Flash memory interfaces with packet bus interfaces

  • Network stack with support for bump-in stack custom logic addition