The Access control scheme is an effective method to protect user data privacy.The access control scheme based on blockchain and ciphertext policy attribute encryption(CP–ABE)can solve the problems of single—point of...The Access control scheme is an effective method to protect user data privacy.The access control scheme based on blockchain and ciphertext policy attribute encryption(CP–ABE)can solve the problems of single—point of failure and lack of trust in the centralized system.However,it also brings new problems to the health information in the cloud storage environment,such as attribute leakage,low consensus efficiency,complex permission updates,and so on.This paper proposes an access control scheme with fine-grained attribute revocation,keyword search,and traceability of the attribute private key distribution process.Blockchain technology tracks the authorization of attribute private keys.The credit scoring method improves the Raft protocol in consensus efficiency.Besides,the interplanetary file system(IPFS)addresses the capacity deficit of blockchain.Under the premise of hiding policy,the research proposes a fine-grained access control method based on users,user attributes,and file structure.It optimizes the data-sharing mode.At the same time,Proxy Re-Encryption(PRE)technology is used to update the access rights.The proposed scheme proved to be secure.Comparative analysis and experimental results show that the proposed scheme has higher efficiency and more functions.It can meet the needs of medical institutions.展开更多
The aging society will become a serious problem for most countries in the world. Under the constraint of limited medical resource, the self-health management becomes important. In this paper, a mobile healthcare syste...The aging society will become a serious problem for most countries in the world. Under the constraint of limited medical resource, the self-health management becomes important. In this paper, a mobile healthcare system is implemented. One can easily monitor his/her physiological data through the using of a smartphone that is wirelessly connected to different medical detection devices. A cloud database is established for storing and analysing these physiological data. The guidance of suitable physical exercises to individuals is then given in the system. This paper shows the details of the system implementation.展开更多
Health facilities are generally short-staffed and overworked. This has a significant impact on the reliability of the acquisition of health constants required at the start of diagnosis. Manual acquisition and transmis...Health facilities are generally short-staffed and overworked. This has a significant impact on the reliability of the acquisition of health constants required at the start of diagnosis. Manual acquisition and transmission of these constants and other data leads to delays in the execution of successive care-related tasks. What’s more, the quality of service is sometimes compromised by a lack of communication between patients and staff. In pediatrics, this is compounded by the difficulty of diagnosis in the face of children’s silence, intimidated by the hospital environment. Technological assistance would relieve healthcare staff of the need to perform certain repetitive tasks. The solution proposed in this document studies a robot, based on electrical, electronic, computer and artificial intelligence resources, with human-machine interaction for taking vitals and health data in health facilities. This system enables height, mass and temperature to be taken autonomously and without contact. The algorithm we’ve developed uses artificial intelligence to check the conditions for correct measurements, both bareheaded and barefoot. This solution also alerts you to epidemic trends such as obesity. This health data is made available in the healthcare facility on terminals such as tablets, smartphones and computers used by nursing staff. This work will help healthcare staff to take automatic health vitals without contact, and to acquire and circulate data via a computer network.展开更多
Virus prevention has been considered central to the fight against the COVID- 19 coronavirus pandemic. To limit the spread of the virus in public places, several measures have been taken, in particular respect for barr...Virus prevention has been considered central to the fight against the COVID- 19 coronavirus pandemic. To limit the spread of the virus in public places, several measures have been taken, in particular respect for barrier gestures. This work is part of this dynamic and sets up a new wireless version of an electronic and nominative queue manager using artificial intelligence for more equity, inclusion and solidarity. This system, named Gifa is developed in our laboratory. The first prototype, whose connections are largely provided by a wired system with an artisanal acquisition module, is difficult to deploy for general public use, especially in buildings already built. This article deals with an artificial intelligence queue management system, presenting more functionalities, whose access to the service is ensured in very large part by wireless exchanges with a modern acquisition module realized by 3D printing. The flexible and autonomous design of this device makes it particularly easy to deploy on premises open to the public without having to modify the existing installation for commissioning. The manager is equipped with a configuration terminal, and at the counters the call is made by a cashier also equipped with a tablet connected to the wifi network. Its display screen shows certain information relating to the identity of the customer such as his face, his order number, his first name and last name. This reduces the authentication time of the person at the checkout, queue bypasses for more fairness and less stress. This work has resulted in the improvement of queue management systems by giving them more flexibility to make them more adaptable in several types of environments and other contexts.展开更多
电力设备状态评估是状态检修的关键一环。为了解决电力设备健康状态评估结果准确性不高这一问题,该文设计了一种基于最优云熵-灰云证据的中高压断路器健康状态评估方法,该方法以云模型和证据理论为基本理论框架。选取适当的定性和定量...电力设备状态评估是状态检修的关键一环。为了解决电力设备健康状态评估结果准确性不高这一问题,该文设计了一种基于最优云熵-灰云证据的中高压断路器健康状态评估方法,该方法以云模型和证据理论为基本理论框架。选取适当的定性和定量评价指标建立综合评估体系;在灰云模型的基础上引入最优云熵,结合大数定理对所得隶属度进行二次处理最终确定状态区间隶属度,并将其作为证据理论的基本信度分配(Basic Probability Assignment,BPA);利用不确定系数对BPA进行二次更新;通过改进证据融合规则进行证据融合,所得结果转化为相应的健康指数使评估结果更为直观。实例分析表明,该方法能很好地处理评价过程中的模糊性及随机性,具有一定的参考价值。展开更多
基金This research was funded by the National Natural Science Foundation of China,Grant Number 62162039the Shaanxi Provincial Key R&D Program,China with Grant Number 2020GY-041.
文摘The Access control scheme is an effective method to protect user data privacy.The access control scheme based on blockchain and ciphertext policy attribute encryption(CP–ABE)can solve the problems of single—point of failure and lack of trust in the centralized system.However,it also brings new problems to the health information in the cloud storage environment,such as attribute leakage,low consensus efficiency,complex permission updates,and so on.This paper proposes an access control scheme with fine-grained attribute revocation,keyword search,and traceability of the attribute private key distribution process.Blockchain technology tracks the authorization of attribute private keys.The credit scoring method improves the Raft protocol in consensus efficiency.Besides,the interplanetary file system(IPFS)addresses the capacity deficit of blockchain.Under the premise of hiding policy,the research proposes a fine-grained access control method based on users,user attributes,and file structure.It optimizes the data-sharing mode.At the same time,Proxy Re-Encryption(PRE)technology is used to update the access rights.The proposed scheme proved to be secure.Comparative analysis and experimental results show that the proposed scheme has higher efficiency and more functions.It can meet the needs of medical institutions.
文摘The aging society will become a serious problem for most countries in the world. Under the constraint of limited medical resource, the self-health management becomes important. In this paper, a mobile healthcare system is implemented. One can easily monitor his/her physiological data through the using of a smartphone that is wirelessly connected to different medical detection devices. A cloud database is established for storing and analysing these physiological data. The guidance of suitable physical exercises to individuals is then given in the system. This paper shows the details of the system implementation.
文摘Health facilities are generally short-staffed and overworked. This has a significant impact on the reliability of the acquisition of health constants required at the start of diagnosis. Manual acquisition and transmission of these constants and other data leads to delays in the execution of successive care-related tasks. What’s more, the quality of service is sometimes compromised by a lack of communication between patients and staff. In pediatrics, this is compounded by the difficulty of diagnosis in the face of children’s silence, intimidated by the hospital environment. Technological assistance would relieve healthcare staff of the need to perform certain repetitive tasks. The solution proposed in this document studies a robot, based on electrical, electronic, computer and artificial intelligence resources, with human-machine interaction for taking vitals and health data in health facilities. This system enables height, mass and temperature to be taken autonomously and without contact. The algorithm we’ve developed uses artificial intelligence to check the conditions for correct measurements, both bareheaded and barefoot. This solution also alerts you to epidemic trends such as obesity. This health data is made available in the healthcare facility on terminals such as tablets, smartphones and computers used by nursing staff. This work will help healthcare staff to take automatic health vitals without contact, and to acquire and circulate data via a computer network.
文摘Virus prevention has been considered central to the fight against the COVID- 19 coronavirus pandemic. To limit the spread of the virus in public places, several measures have been taken, in particular respect for barrier gestures. This work is part of this dynamic and sets up a new wireless version of an electronic and nominative queue manager using artificial intelligence for more equity, inclusion and solidarity. This system, named Gifa is developed in our laboratory. The first prototype, whose connections are largely provided by a wired system with an artisanal acquisition module, is difficult to deploy for general public use, especially in buildings already built. This article deals with an artificial intelligence queue management system, presenting more functionalities, whose access to the service is ensured in very large part by wireless exchanges with a modern acquisition module realized by 3D printing. The flexible and autonomous design of this device makes it particularly easy to deploy on premises open to the public without having to modify the existing installation for commissioning. The manager is equipped with a configuration terminal, and at the counters the call is made by a cashier also equipped with a tablet connected to the wifi network. Its display screen shows certain information relating to the identity of the customer such as his face, his order number, his first name and last name. This reduces the authentication time of the person at the checkout, queue bypasses for more fairness and less stress. This work has resulted in the improvement of queue management systems by giving them more flexibility to make them more adaptable in several types of environments and other contexts.
文摘电力设备状态评估是状态检修的关键一环。为了解决电力设备健康状态评估结果准确性不高这一问题,该文设计了一种基于最优云熵-灰云证据的中高压断路器健康状态评估方法,该方法以云模型和证据理论为基本理论框架。选取适当的定性和定量评价指标建立综合评估体系;在灰云模型的基础上引入最优云熵,结合大数定理对所得隶属度进行二次处理最终确定状态区间隶属度,并将其作为证据理论的基本信度分配(Basic Probability Assignment,BPA);利用不确定系数对BPA进行二次更新;通过改进证据融合规则进行证据融合,所得结果转化为相应的健康指数使评估结果更为直观。实例分析表明,该方法能很好地处理评价过程中的模糊性及随机性,具有一定的参考价值。
