A multi-application smart card system consists of an issuer, service vendors and cardholders, where cardholders are recipients of smart cards (from the issuer) to be used in connection with applications offered by service vendors. Authentic post-issuance program modification is necessary for a multi-application smart card system because applications in the system are realized after the issuance of a smart card. In this paper, we propose a system where only authentic modification is possible. In the proposed system, the smart card issuer stores a unique long bitstring called PID in a smart card. The smart card is then given to the cardholder. A unique substring of the PID (subPID) is shared between the cardholder and a corresponding service vendor. Another subPID is shared between the issuer and the cardholder. During program modification, a protocol using the subPIDs, a one-way hash function and a pseudorandom number generator function verifies the identity of the parties and the authenticity of the program.

This study looks at how an e-Health System can reduce morbidity (poor health) in unreached communities. The e-Health system combines affordable sensors and Body Area Networking technology with mobile health concepts and is called a Portable Health Clinic. The health clinic is portable because all the medical devices fit inside a briefcase and are carried to unreached communities by a healthcare assistants. Patient morbidity is diagnosed using software stratification algorithm and categorized according to triage color-coding scheme within the briefcase. Morbid patients are connected to remote doctor in a telemedicine call center using the mobile network coverage. Electronic Health Records (EHR) are used for the medical consultancy and e-Prescription is generated. The effectiveness of the portable health clinic system to target morbidity was tested on 8690 patients in rural and urban areas of Bangladesh during September 2012 to January 2013. There were two phases to the experiment: the first phase identified the intensity of morbidity and the second phase re-examined the morbid patients, two months later. The experiment results show a decrease in patients to identify as morbid among those who participated in telemedicine process.

We consider RFID bookshelves, which detect the location of books using RFID. An RFID bookshelf has the antennas of RFID readers in the boards, and detects the location of an RFID tag attached to a book. However, the accuracy is not good with the experience of the existing system, and sometimes reads the tag of the next or even further area. In this paper, we propose a method to improve the location detection using naive Bayes classifer, and show the experimental result. We obtained 78.6% of F-measure for total 12658 instances, and show the advantage against the straightforward approach of calculating the center of gravity of the read readers. More importantly, we show the performance is less dependent of a change of layouts and a difference of books by leave-1-layout/book-out cross validation. This is favorable for the feasibility in library operation.