Abdul Salam Shah

Routing and Security Issues in U-Healthcare Mobile, Ubiquitous and Wireless Body Area Network (WBAN)

The ratio of aging and chronic diseases is increasing day by day; therefore, the people are interested in better health management. They are interested in patient-centered methods instead of the traditional and conventional hospitalized services. The idea of UHealthcare is getting popularity. The U-Healthcare is responsible for the observations of different states of health during running, walking, and jogging. Researchers and developers are focusing on a telemedicine system composed of Mobile, Ubiquitous and Wireless Body Area Network. The U-Healthcare system is still a little bit vague and obscure, and due to the shortcomings, the complete adoption of the U-Healthcare system is not possible. So, for this purpose, we just need to take the inclusion of latest, wellsophisticated hardware, communications, interconnections, trademark computing, advanced routing and privacy to the upcoming child of U-Healthcare based on Mobile, Ubiquitous and Wireless Body Area Network. In this paper, we have critically analyzed the relevant papers on Mobile, Ubiquitous and Wireless Body Area Network specifically in terms of the routing and security issues.

Critical Evaluation of Frontal Image-Based Gender Classification Techniques

The face describes the personality of humans and has adequate importance in the identification and verification process. The human face provides, information as age, gender, face expression and ethnicity. Research has been carried out in the area of face detection, identification, verification, and gender classification to correctly identify humans. The focus of this paper is on gender classification, for which various methods have been formulated based on the measurements of face features. An efficient technique of gender classification helps in accurate identification of a person as male or female and also enhances the performance of other applications like Computer-User Interface, Investigation, Monitoring, Business Profiling and Human Computer Interaction (HCI). In this paper, the most prominent gender classification techniques have been evaluated in terms of their strengths and limitations.