ID 原文 译文
52897 并且完成了对该领域模型的实现，将其成功用于机械手辅助脑瘫康复动作训练系统中， and the realization of the domain model is completed, which is successfully used in the robot-assisted cerebral palsy rehabilitation.
52898 使得理疗师等非编程技术人员能够为脑瘫患儿康复定制训练方案。 This training system enables non-programming technicians such as physical therapists to customize training programs for the rehabilitation of children with cerebral palsy.
52899 当前，软件定义网络(SDN)交换机的三态内容寻址存储器(TCAM)基于优先级编码其存储规则的物理位置， Currently, the physical storage locations of rules in ternary content addressable memory(TCAM) at softwaredefined networking(SDN) switches depend on the priorities of the rules.
52900 因此，当发生规则更新时，TCAM不可避免地会因为新优先级的出现或原有规则优先级的变化而移动大量已有规则的物理位置，产生不可忽视的高时延。 Therefore, when updating rules in TCAM, a great quantity of rules will be moved to new locations due to the emergences of new priorities and the modifications of old priorities, resulting in a significantly high latency.
52901 本文提出了基于优先级替换的批量规则快速更新方法(BRUS)，解决规则更新时因TCAM移动规则而产生的高时延。 To solve the problem, a fast method of batch rule updating scheme(BRUS) based on priority replacement is proposed, which reduces the latency while updating rules in TCAM.
52902 BRUS引入了基于规则依赖的规则语义一致性，在规则语义一致性的基础上，通过替换插入规则优先级为删除规则的优先级来避免不必要的规则移动，实现快速的规则更新。 BRUS introduces the definition of rule dependency-based semantic consistency. Based on this, BRUS replaces the priorities of inserted rules with the priorities of deleted rules to avoid unnecessary rule movements, and therefore achieving fast rule updating.
52903 实验结果表明，BRUS能够有效找到91%以上的替换规则对，从而大幅减少规则更新的移动次数。 Experiment results show that BRUS is capable of finding more than 91% replace pairs and significantly reduces rule moves when updating.
52904 与最新方法相比，针对批量更新场景，BRUS具有更好的稳定性和适用性。 Compared with the state-of-the-art methods, BRUS is clearly superior in terms of stability and suitability in batch rule-update scenarios.
52905 为解决in-APP第三方支付中密钥泄漏、信息显示不全、商家APP缺乏预信任等问题，采用着色Pe tri网(C PN)模型对现有的订单篡改、通知假冒、订单替换、非授权查询4种攻击进行建模分析，并通过推导不安全状态的可达性验证in-APP第三方支付系统存在的安全漏洞。 To solve the problems of key leakage, incomplete display of order information and lack of pre-trust of merchant APP in in-APP third-party payment, a new secure payment model for in-APP third-party payment is proposed. In view of the existing attacks of order tampering, notification forging, order substituting and unauthorized querying, the mobile payment protocol is analyzed by color Petri net(CPN) model, and the accessibility of the unsafe state is proved. Therefore the security vulnerabilities of in-APP third-party payment are verified.
52906 提出了基于可信平台模块(TPM)的新的支付协议模型，该模型利用TPM生成安全私钥用于改进数字签名和防止用户和商家APP串谋攻击等方面。 A new payment protocol model and improvement strategy based on trusted platform module(TPM) are proposed. The model uses TPM to generate the secure private key for improving digital signature and preventing colluding attack between user and merchant APP.