Privacy-preserving data splitting is a technique that aims to protect privacy by storing different fragments of in locations. In this work we give new combinatorial formulation the problem. We see problem as purely problem, which have split attributes into way satisfies certain properties derived from processing and constraints. Using formulation, develop algebraic techniques obtain solutions p...

Data publishing or data sharing is an important part of analyzing network environments and improving the Quality Service (QoS) in Internet Things (IoT). In order to stimulate providers (i.e., IoT end-users) contribute their data, privacy requirement necessary when collected published. traditional preservation techniques, such as k-anonymity, aggregation differential privacy, modified, aggregate...

Sustainable stream processing algorithms have gained popularity in recent years. Flow control is a way of searching and modifying real-time data streams. Missing values are ubiquitous real-world streams, making privacy challenging to safeguard. On the other hand, most preservation methods need not take absent into account when developed. They can anonymize certain study, however this results lo...

OBJECTIVE The aim of this study was to evaluate the intra and inter-rater reliability of pelvic floor muscle (PFM) dynamometric measurements for maximum and average strengths, as well as endurance. METHOD A convenience sample of 18 nulliparous women, without any urogynecological complaints, aged between 19 and 31 (mean age of 25.4 ± 3.9) participated in this study. They were evaluated using a...