ID 原文 译文
4383 最后，利用 Dinkelbach 方法和拉格朗日乘子方法解决功率控制问题；利用所提出的基于 Q 学习的中继选择算法完成中继的选择；基于功率控制和中继选择，利用匈牙利算法完成信道的分配。 Finally, the power allocation problem, the relay selectionproblem and the subcarrier assignment problem were addressed by Dinkelbach method and Lagrange multiplier method,Q-learning and Hungarian algorithm, respectively.
4384 仿真结果表明，与现有算法相比，所提算法可有效提高系统 D2D 用户的总能效。 The simulation results show that the proposed algorithm can improvethe total energy efficiency of D2D users compared with existing algorithms.
4385 传统委托计算中，由于参与者双方的自利行为，存在委托方抵赖和计算方不诚实计算等问题。 In the traditional delegation computation, due to the self-interested behavior of both participants, there weresome problems such as the denial of the principal and the dishonest calculation by the computing party.
4386 在支付阶段，需采用第三方来保证支付的公平性，从而导致额外的开销且存在泄露参与者隐私的风险。 In the paymentphase, a third party was required to ensure the fairness of the payment, which led to extra costs and risks of disclosure ofparticipants' privacy.
4387 利用博弈论分析了支付过程中双方达到纳什均衡解，提出一种基于比特币时间承诺的公平支付协议。 Game theory was used to analyze the Nash equilibrium solution between the two parties in the pay-ment process, and a fair payment protocol based on time commitment of bitcoin was proposed.
4388 首先，利用比特币时间承诺技术保证参与者支付的公平性； Firstly, the bitcoin timecommitment technology was used to ensure the fairness of payment.
4389 其次，利用区块链去中心化的特性来取代第三方服务保护各方隐私且实现责任溯源； Secondly, the decentralized feature of block chainwas used to replace the third-party service to protect the privacy of all parties and realize the source of responsibility.
4390 最后从安全性和正确性对方案进行分析，证明了参与者在支付过程中诚实选择行为策略。 Fi-nally, the scheme was analyzed from the perspective of security and correctness, which proved that the participantschoose behavioral strategies honestly in the payment process.
4391 所提方案不仅解决了传统委托计算中公平支付的难题而且保护了参与方的隐私。 The scheme proposed in this paper not only solved the problem of fair payment in traditional delegation computation, but also protected the privacy of participants.
4392 针对虚警目标较多的复杂场景中，传统舰船检测算法检测结果精度偏低的问题，提出了一种基于多特征加权的 SAR 影像舰船检测优化方法。 Aiming at the problem that the accuracy of traditional ship detection algorithms is not satisfying in complexscene with many false alarm targets, a ship detection optimization method in SAR imagery based on multi-featureweighting was proposed.