Wireless Body Area Network (WBAN) is a collection of wireless sensor nodes which can be placed within the body or outside the body of a human or a living person which in result observes or monitors the functionality and adjoining situations of the body. Utilizing a Wireless Body Area Network, the patient encounters a greater physical versatility and is never again constrained to remain in the hospital. As the Wireless Body Area Network sensor devices is being utilized for gathering the sensitive data and possibly will run into antagonistic situations, they require complicated and very secure security medium or structure to avoid the vitriolic communications within the system. These devices represent various security and privacy protection of touchy and private patient medical data. The medical records of patients are a significant and an unsolved situation due to which a changing or exploitation to the system is possible. In this research paper, we first present an overview of WBAN, how they utilized for healthcare monitoring, its architecture then highlight major security and privacy requirements and assaults at different network layer in a WBAN and we finally talk about various cryptographic algorithms and laws for providing solution of security and privacy in WBAN.
Abstract-Every society has a large majority group of disable people. The technology is developing day by day but no significant developments are undertaken for the improvement of these people. Sign language is an efficient mean of information exchange with special people, such as Deaf and Dumb people, they communicate with each other through sign language, but it become difficult when they communicate to outer world so sign language is used for this purpose. Different research has been done for this in America, Indonesia and India, but not much work done in Pakistan. In this research paper, author introduce a system for recognizing Pakistan Sign Language (PSL) including the alphabet to facilitate communication between special people and normal. This system capture input through webcam without making use of any additional hardware, then using segmentation approach we separate hand from the background and extract required feature from image using Principal Component Analysis (PCA) and then finally classifies the gesture feature by utilizing K Nearest Neighbors (KNN). This research will fill the communication gap between the deaf and normal people of the Pakistan country.
Here, for the first time, La0.3Ba0.7Zr0.5X0.3Y0.2 (LaBaZrXY; X = Gd, Mn, Ce named as LaBaZrGdY, LaBaZrMnY, LaBaZrCeY respectively) SOFC electrolytes were prepared via novel organic auto and conventional combustion method,...
The applications and effects of plasma on textile fabrics are the main focus in this paper. We surveyed available literature on the plasma-fabric interaction and found that there are variation of parameters affected the plasma application. The parameters can be classified as weight loss, tensile strength, contact angle, aging effect and addition of contents of different chemical functional groups. The increase or decrease in weight of fabrics after oxygen, nitrogen, and atmospheric plasma treatment was obtained in this study. The weight loss increased with the exposure time of plasma but decreased with the pressure. The tensile strength decreases with plasma duration and increases with plasma power. The type of plasma also affects the wettability of fabric. Wettability of a fabric increases with plasma treatment time. The plasma treatment of fabric adds different elements such as oxygen, carbon and nitrogen on the surface. The amount of oxygen increases but carbon and sulphur decreases. The increase or decrease in contact angle depends on the conditions of plasma treatment. The aging time of plasma depends on different parameters of plasma treatment. The hydrophilicity character also affected by plasma treatment. The hydrophilicity decreased with treatment time.
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