In recent years, ubiquitous-based telemedicine has become increasingly popular in many countries; this is a new discipline that can break distance barriers in order to improve access to various medical services. Due to recent progress in telecare services, scientists provided those pregnant women with advanced medical care via medical cyber-physical systems (MCPS) to achieve eugenics. The MCPS presents a new level of integrated intelligence that is characterized by interaction and coordination of computing processes with physical processes. In an environment of MCPS, security is one of the key objectives for ubiquitous telemonitoring. In this paper, we take advantage of the cloud characteristics and the high efficiency of MCPS to achieve the desired medical monitoring and also to effectively protect pregnancy-related privacy. We establish a cloud computing platform for all users to access the cloud information at any time in accordance with their own demands. We also used cryptography to design the medical system. Identity-based combined encryption and signature cryptosystem were proposed as the best ways to ensure the security and privacy of healthcare data in the cloud. KEYWORDS cloud, IBCESC, medical cyber-physical system, pregnancy, ubiquitous telemonitoring | INTRODUCTIONWith the rapid development of technology and science, the world has entered into the information age. In this age, information technology has not only improved the efficiency of people's work but also changed people's production and lifestyle. The computer science is rapid development.Notations: ID x , the x's identity; data X , the xth patient's inspection data are generated by the doctor; data BS , the measured health data collected by the MMD; data HX , the xth health data created by the cloud; m D , the pregnant woman's health reports given by the doctor; m BS , the measured health information is collected by the body sensor; m Dr , the request message of the doctor; m W , warning message generated by the cloud; m c , medical certificate; m pi , the pregnant woman's health information; lm, the bit length of the message; r i , the ith random number; C p , the pregnant woman's health records; R p , the pregnant woman's health report generated by the doctor; Cert x , the x's personal identity certificate; G 1 , a cyclic additive group with order q; G T , a cyclic multiplicative group with the order q; e(), the pairing function e(): G 1 × G 1 ! G T ; H 1 (), the hash function H 1 () : {0, 1} * ! G 1 ; H 2 (), the hash function H 2 () : G T ! {0, 1} lm ; H 3 (), the hash function H 3 () : {0, 1} lm × {0, 1} lm ! Z q ; H 4 (), the hash function H 4 () : {0, 1} lm ! {0, 1} lm ; H 5 (), the hash function H 5 ðÞ : 0;
This study adopts a practical approach to establish the estimation and adjustment methods of the interface stiffness for the machine-tool through the finite element analysis (FEA). First, numerical and experimental modal analysis (FMA and EMA) for each single subsystem of the machine-tool structure are performed. Then, the parameters obtained from EMA are used as the objective criterion function, and the FMA is conducted iteratively to solve the material Young’s modulus and Poisson’s ratio for each single subsystem structure, in which the geometrical model is simplified and FE mesh convergence is performed to ensure the quality and efficiency of the numerical analysis. Next, by considering that the machine-tool is assembled by subsystem stacking and that loading on each contact surface is deduced, the FE method is used to calculate the deformation of each contact interface after the single subsystem is stacked successively. The initial value of the interface stiffness estimated by the deformation formula in the mechanics of material is utilized as the initial condition for the iterative calculation in FMA. The changes of the modal parameters are observed in the analysis and the interface, which have a significant impact on the natural frequency variations of the whole machine-tool is selected as the main adjustment object. Then, the adjustment method proposed in this study is applied repeatedly to modify this interface stiffness. The results show that footing interface stiffnesses play the most important role that intensively affects the numerical analysis results of modal parameter. After the repeated adjustments of the interface stiffnesses of the footing, the error of the natural frequency of the whole machine-tool is less than 5%, which is calculated from the comparison between EMA and FMA results. It indicates that the proposed adjustment method in this study for footing interface stiffness determination has a valuable reference in practical use.
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