ID 原文 译文
52907 安全性分析表明，相较于原协议，新的安全模型引入随机数抵御重放攻击，通过TPM安全芯片生成公私钥对， Security analysis shows that compared with the original protocol, the new security model introduces nonce to resist replay attack, generates public and private key pairs through the PPM security chip,
52908 抵御因密钥泄漏引发的订单篡改与替换、通知假冒和非授权查询4种网络攻击， and prevents four kinds of network attacks of order tampering and substituting, notification forging and unauthorized querying which are brought by key leakage.
52909 并通过协议中的额外安全性补偿机制解决了串谋攻击和订单信息显示不全等问题。 The new security model also solves the problems of colluding attack and incomplete display of order information through the additional security compensation mechanism in the protocol.
52910 机器人路径规划算法需应对运动过程中遇到的各种复杂环境。 Robot path planning algorithm needs to deal with various complex environments encountered in the process of movement.
52911 针对快速扩展随机树(RRT)算法规划时间长、产生新节点随机性大、盲目性强的缺点，提出基于目标指引的RRT*路径规划算法。 According to the disadvantages of the algorithm of rapidly-exploring random trees(RRT), such as long planning time, large randomness and strong blindness of new nodes, an algorithm of RRT* path planning based on target guidance is proposed.
52912 该算法在障碍物和目标点处分别产生虚拟势场， In this algorithm, virtual potential fields are generated at obstacles and target points respectively.
52913 引入引力函数和斥力函数使得生成的随机点具有目标性， By introducing the gravitational function and the repulsive function, the generated random points are targetable.
52914 随机点朝向目标点方向产生，降低盲目性和随机性; The random points are generated towards the target point, which reduces the blindness and randomness.
52915 回归策略和动态自适应步长策略减少规划时间和产生冗余点的数量。 Regression and dynamic adaptive step-size strategies reduce planning time and the number of redundant points.
52916 当环境复杂时，提出带有预测机制的模糊推理策略，以解决机器人在U型陷阱下易产生的局部死锁现象。 When the environment is complex, a fuzzy inference strategy with predictive mechanism is proposed to solve the local deadlock in U-shaped traps.