mBid24 is client-server application that allows using of eBay database on mobile device. This project consists of two main applications rich client application and server application. Client application is written in Micro Java (J2ME) so it is easily ported on many different mobile device platforms (Nokia, SonyEricsson, Motorola, and Siemens etc). Server application is also written in Java SE, using servlet, JSP and JSTL technology.

I was Lead responsible for server application. My job included detailed design and implementation of complete server solution. There were four main interfaces are made:

1. Web interface that allows user registration and user account management, also this interface included site implementation for user support (please see http://www.bid-24.de)
2. Web interface that allows administrative account management, this interface represents content management system CMS. This is not public interface but only for administrative purposes.
3. Interface toward mobile phone can be considered SOAP like interface toward rich client application. This interface presents essence of the mBid24 service becaouse handle all necessery communication with mBid24 rich client application on the mobile phone. This interface is tested for support of vast amount of traffic, also it is optimized to ensure a minimal response time, so this featuers makes it very stable and reliable interface.
4. Proxy interface handles cryptography with client application to ensure user security. This proxy is converting internally crypto messages and connecting using HTTPS on eBay application. Proxy application is also used as filter to optimize GPRS traffic toward the mobile phone, so indiract costs of using this application is minimazed (GPRS traffic)

  Please visit website and try our exciting application at http://www.bid-24.de

Apr 04 - Nov 04

Team member responsible for HTTP, RTP and RTCP components. The PoC Client 1.0 has been developed in conformance with the IETF, 3GPP, OMA (NEMS) and Siemens Specification documents. The PoC defines three communication channels (SIP, HTTP and RTP) and several applications: PoC Call Control (SIP, RTP/RTCP), Presence (SIP), Contact Management (HTTP), Chat (SIP) and Instant Messaging (SIP). The project is written in Embedded C++ using conventions for achieving the portability. The project has been developed in cooperation with the Zesium mobile, Germany.

1. Down sampling with integer factor - sampling rate is decresed with integer factor. Application shows the hardware solution and responses in time and frequecy domains.
2. Upsamping with integer factor - sampling rate is incresed with integer factor. Application shows the hardware solution and responses in time and frequecy domains.
3. Conversion with rational factor - sampling rate is changed by rational factor. Application shows the hardware solution and responses in time and frequecy domains.
4. Ad Hoc filter design technique - this technique for digital filter design is user frendly. Just by placing the zeros and poles into z-plane you are able to see the frequency response of that filter.

Purpose of this project was to make a cross reference of the noise removal and edge detecting filtars in a image processing. Also the task was to make a parallel and to compare every filtar to FIRE filtar that uses fuzzy logic. This project conssisted of several stages.
First stage was to make af design and implementation of the FIRE Fuzzy filter for filtering images corrupted by noise as reference to already proposed solution. Design, Implementation and tests are done in MATLAB.
Second stage is to improve fuzzy engine base by introducing some learning mechanism (algorithm) for it's fuzzy base gemeration, the Genetic algorithm was design and implemented. That implementation is done according to the theory of the learning algorithms.
Next stage was to investigate possibilty to use these fuzzy filters in edge detecting. Task was to design and implement a filters for edge detection based on fuzzy logic. Edge detection is performed on noise-corrupted images, so this filters uses FIRE filters as noise removers.