Using Fingerprint Features as Personalized Cryptographic key in Personal Health Record Systems

An embedded method which can provide privacy-safeguard and data-security layer for the Personal Health Records (PHR) is proposed. In our method, the fingerprint image of a patient or doctor is obtained with fingerprint scanner and the values of fingerprint features points are calculated and saved in an IC card. As a result, saving the fingerprint image is not required in our method. Based on the user's password, a transformation is applied on the fingerprint topology structural values. After that, we take these points' coordinates on the transformed topology structure as a cryptographic key, which is used with Advanced Encryption Standard (AES) algorithm to encrypt the users' privacy information, such as prescription, laboratory sheet, medical certificate, etc. The experimental results demonstrate that our method could bring patients the self-control and self-management on their own medical privacy information.

A framework for an integrated unified modeling language

The unified modeling language(UML) is one of the most commonly used modeling languages in the software industry.It simplifies the complex process of design by providing a set of graphical notations,which helps express the objectoriented analysis and design of software projects.Although UML is applicable to different types of systems,domains,methods,and processes,it cannot express certain problem domain needs.Therefore,many extensions to UML have been proposed.In this paper,we propose a framework for integrating the UML extensions and then use the framework to propose an integrated unified modeling language-graphical(iUML-g) form.iUML-g integrates the existing UML extensions into one integrated form.This includes an integrated diagram for UML class,sequence,and use case diagrams.The proposed approach is evaluated using a case study.The proposed iUML-g is capable of modeling systems that use different domains.

DSP based fuzzy controller for series parallel resonant converter

In this paper, digital signal processor （DSP） based fuzzy controller for series parallel resonant converter （SPRC） has been estimated, and the performance of the converter is analyzed by using state space model. The method to predict the steady-state and dynamic perfor-mance of the converter with load independent operation has been presented. The proposed converter has been analyzed with the closed-loop and open-loop conditions. The simple form of transfer function for SPRC is developed, and it is used to analyze the stability of the converter with closed-loop operation. The stability analy-sis of the converter is carried out by using frequency response plan. The fuzzy controller regulates the output voltage with change supply voltage and load disturbance. The controller performance of inductance capacitance inductance - T network （LCL-T） SPRC is compared with inductance inductance capacitance - T network （LLC-T） SPRC through simulation TMS320F2407 processor. and experimental studies using