A new multi-signature scheme was proposed with the extension of the direct anonymous attestation （DAA） protocol supported by trusted computing （TC） technology. Analysis and simulation results show that the signer...A new multi-signature scheme was proposed with the extension of the direct anonymous attestation （DAA） protocol supported by trusted computing （TC） technology. Analysis and simulation results show that the signer＇s privacy is well protected with dynamic anonymity, the public key and signatures have length independent of the number of signature members, new signers are allowed to join the signature without modifying the public key, and attacks caused by secret key dumping or leaking can be avoided.展开更多
Mechanical ventilation is an effective medical means in the treatment of patients with critically ill,COVID-19 and other pulmonary diseases.During the mechanical ventilation and the weaning process,the conduct of pulm...Mechanical ventilation is an effective medical means in the treatment of patients with critically ill,COVID-19 and other pulmonary diseases.During the mechanical ventilation and the weaning process,the conduct of pulmonary rehabilitation is essential for the patients to improve the spontaneous breathing ability and to avoid the weakness of respiratory muscles and other pulmonary functional trauma.However,inappropriate mechanical ventilation strategies for pulmonary rehabilitation often result in weaning difficulties and other ventilator complications.In this article,the mechanical ventilation strategies for pulmonary rehabilitation are studied based on the analysis of patient-ventilator interaction.A pneumatic model of the mechanical ventilation system is established to determine the mathematical relationship among the pressure,the volumetric flow,and the tidal volume.Each ventilation cycle is divided into four phases according to the different respiratory characteristics of patients,namely,the triggering phase,the inhalation phase,the switching phase,and the exhalation phase.The control parameters of the ventilator are adjusted by analyzing the interaction between the patient and the ventilator at different phases.A novel fuzzy control method of the ventilator support pressure is proposed in the pressure support ventilation mode.According to the fuzzy rules in this research,the plateau pressure can be obtained by the trigger sensitivity and the patient’s inspiratory effort.An experiment prototype of the ventilator is established to verify the accuracy of the pneumatic model and the validity of the mechanical ventilation strategies proposed in this article.In addition,through the discussion of the patient-ventilator asynchrony,the strategies for mechanical ventilation can be adjusted accordingly.The results of this research are meaningful for the clinical operation of mechanical ventilation.Besides,these results provide a theoretical basis for the future research on the intelligent control of ventilator and the automation of weaning process.展开更多
A fully distributed exchange-based anonymity P2P reputation system--EARep was proposed. EARep can provide all the peer＇s anonymity in a fully distributed structured manner. In EARep, each peer＇s anonymity is achieve...A fully distributed exchange-based anonymity P2P reputation system--EARep was proposed. EARep can provide all the peer＇s anonymity in a fully distributed structured manner. In EARep, each peer＇s anonymity is achieved by changing pseudonyms. Analysis and simulation results showed that compared with DARep, which is an existing representative scheme, our system has two main features. First, EARep increased anonymity degree （measured by linkage probability） and was much more scalable than DARep. Specifically, with the same message overhead, EARep reduced the linkage probability by more than 50% compared with DARep. Alternatively, to achieve the same anonymity degree, the message overhead in EARep was less than 25% of that in DARep. Second, the service selection success , tio of EARep was greater than 90% even when the percentage of malicious peers was up to 70%, which makes our system robust to malicious behaviors of peers.展开更多
基金the National High Technology Research and Development Program of China(863 Program) (2005AA145110, 2006AA01Z436)the Natural Science Foundation of Shanghai (05ZR14083)the Pudong New Area Technology Innovation Public Service Platform of China (PDPT2005-04)
文摘A new multi-signature scheme was proposed with the extension of the direct anonymous attestation （DAA） protocol supported by trusted computing （TC） technology. Analysis and simulation results show that the signer＇s privacy is well protected with dynamic anonymity, the public key and signatures have length independent of the number of signature members, new signers are allowed to join the signature without modifying the public key, and attacks caused by secret key dumping or leaking can be avoided.
基金supported by the National Natural Science Foundation of China(Grant No.52005015)the China Postdoctoral Science Foundation(Grant No.2019M660391)+3 种基金the Open Foundation of the State Key Laboratory of Fluid Power and Mechatronic Systems(Grant No.GZKF-201920)the Outstanding Young Scientists in Beijing(Grant No.BJJWZYJH01201910006021)the National Key Research and Development Project(Grant No.2019YFC0121700)the Clinical research support project of PLA General Hospital(Grant Nos.2019-XXJSYX-13 and2019XXMBD-013)。
文摘Mechanical ventilation is an effective medical means in the treatment of patients with critically ill,COVID-19 and other pulmonary diseases.During the mechanical ventilation and the weaning process,the conduct of pulmonary rehabilitation is essential for the patients to improve the spontaneous breathing ability and to avoid the weakness of respiratory muscles and other pulmonary functional trauma.However,inappropriate mechanical ventilation strategies for pulmonary rehabilitation often result in weaning difficulties and other ventilator complications.In this article,the mechanical ventilation strategies for pulmonary rehabilitation are studied based on the analysis of patient-ventilator interaction.A pneumatic model of the mechanical ventilation system is established to determine the mathematical relationship among the pressure,the volumetric flow,and the tidal volume.Each ventilation cycle is divided into four phases according to the different respiratory characteristics of patients,namely,the triggering phase,the inhalation phase,the switching phase,and the exhalation phase.The control parameters of the ventilator are adjusted by analyzing the interaction between the patient and the ventilator at different phases.A novel fuzzy control method of the ventilator support pressure is proposed in the pressure support ventilation mode.According to the fuzzy rules in this research,the plateau pressure can be obtained by the trigger sensitivity and the patient’s inspiratory effort.An experiment prototype of the ventilator is established to verify the accuracy of the pneumatic model and the validity of the mechanical ventilation strategies proposed in this article.In addition,through the discussion of the patient-ventilator asynchrony,the strategies for mechanical ventilation can be adjusted accordingly.The results of this research are meaningful for the clinical operation of mechanical ventilation.Besides,these results provide a theoretical basis for the future research on the intelligent control of ventilator and the automation of weaning process.
基金Supported by the National Natural Science Foundation of China (60773008)
文摘A fully distributed exchange-based anonymity P2P reputation system--EARep was proposed. EARep can provide all the peer＇s anonymity in a fully distributed structured manner. In EARep, each peer＇s anonymity is achieved by changing pseudonyms. Analysis and simulation results showed that compared with DARep, which is an existing representative scheme, our system has two main features. First, EARep increased anonymity degree （measured by linkage probability） and was much more scalable than DARep. Specifically, with the same message overhead, EARep reduced the linkage probability by more than 50% compared with DARep. Alternatively, to achieve the same anonymity degree, the message overhead in EARep was less than 25% of that in DARep. Second, the service selection success , tio of EARep was greater than 90% even when the percentage of malicious peers was up to 70%, which makes our system robust to malicious behaviors of peers.
