ID	原文	译文
16535	然后利用随机阻值多位平衡算法比较不同簇气敏传感器响应的阻值，进而产生多位高稳态PUF数据；	Then, arandom resistance multi-bit balance algorithm is used to compare the response data of different clusters of gassensors and then multiple high steady-state PUF data is generated.
16536	最后对所设计PUF发生器的安全性和可靠性进行评估。	Finally, the safety and reliability of thedesigned PUF generator are evaluated.
16537	实验结果表明，该PUF发生器的随机性为97.03%、可靠性为97.85%、唯一性为49.04%，可广泛应用于物联网安全领域。	Experimental results show that the randomness of the PUF generator is97.03%, the reliability is 97.85%, and the uniqueness is 49.04%, which can be widely used in IoT security field.
16538	为增强机器人的认知情感计算能力，依据PAD情感空间建立结合即时反馈和长期趋势的机器人认知情感生成方法，该文提出一种基于强化学习的机器人认知情感交互模型。	In order to enhance the cognitive emotional computing ability of robot, a cognitive emotionalinteraction model of robot based on reinforcement learning is proposed, which combines immediate feedbackand long-term trend according to PAD(Pleasure-Arousal-Dominance) emotional space.
16539	首先，依据人际交往心理学理论，模拟人类情感生成过程进行类人情感生成，并从中提取相似性、积极性、共情性3个影响因素；	Firstly, according to thepsychology theory of interpersonal communication, the human emotion generation process is simulated togenerate human-like emotions, and the three influencing factors of similarity, positivity and empathy areextracted.
16540	其次，利用强化学习的全局统筹特性，建立响应情感状态与上下文长期情感状态之间的关联关系，从而对机器人情感生成过程进行建模；	Secondly, the relationship between the response emotion+ state and the contexted long-term emotionstate is established by using the global co-ordination feature of reinforcement learning, so as to model the robotemotion generation process.
16541	然后，将3个因素纳入模型奖励机制用于交互情感状态评估，实现模型更新并得到最优情感策略；	Then, three factors are incorporated into the model reward mechanism for theevaluate of the interactive emotion state, to update the model and get the optimal emotional strategy.
16542	最后，利用所得最优情感策略对应的最优情感状态对机器人情感状态转移概率进行更新，并依据6种基本情感状态在空间中的情感值，将其映射到连续情感空间中得到机器人的最优响应情感值。	Finally,the optimal emotional state corresponding to the obtained optimal emotional strategy is used to update therobot's emotional state transition probability, and based on the sentiment values of the six basic emotionalstates in space, them are mapped to continuous emotional space to get the optimal response emotional value ofthe robot.
16543	主客观对比实验表明，该文模型能有效增加机器人情感表达的细腻性、连续性、积极性以及共情性，还能有效降低机器人对外界情感刺激的依赖性，进一步提升和谐友好的人机交互关系。	Subjective and objective comparison experiments show that the model in this paper can effectivelyincrease the delicateness, continuity, positivity and empathy of the robot's emotional expression, and can effectively reduce the robot's dependence on external emotional stimuli, further improving the harmonious and friendlyhuman-computer interaction.
16544	关节点行为识别由于其不易受外观影响、能更好地避免噪声影响等优点备受国内外学者的关注，但是目前该领域的系统归纳综述较少。	Action recognition using joints has attracted the attention of scholars at home and abroad because itis not easily affected by appearance and can better avoid the impact of noise. However, there are few systematicreviews in this field.