不同农药残留标准下家庭农场种植行为选择

文章建立了政府与家庭农场农户之间的博弈模型,探讨在不同农药残留标准下政府如何对生态种植行为进行激励.研究表明,在宽松的农药残留标准下,政府可通过征收农药税等方式提高农药成本来激励农户选择生态种植,生态补贴及超标罚款的效果不明显;在严格的农药残留标准下,当农产品抽查难度较大时,政府可选择降低检查概率,同时大幅度提高农药价格来增加农户使用生态种植的动机;当政府对农药成本控制力较低或农药价格增量的边际效益较小时,政府应提高其检查概率,同时提高对于农药残留超标的罚款及生态种植的补贴来激励农户使用生态种植.     

Lattice-Based Double-Authentication-Preventing Ring Signature for Security and Privacy in Vehicular Ad-Hoc Networks

Amidst the rapid development of the Internet of Things(IoT), Vehicular Ad-Hoc NETwork(VANET), a typical IoT application, are bringing an ever-larger number of intelligent and convenient services to the daily lives of individuals. However, there remain challenges for VANETs in preserving privacy and security. In this paper, we propose the first lattice-based Double-Authentication-Preventing Ring Signature(DAPRS) and adopt it to propose a novel privacy-preserving authentication scheme for VANETs, offering the potential for security against quantum computers. The new construction is proven secure against chosen message attacks. Our scheme is more efficient than other ring signature in terms of the time cost of the message signing phase and verification phase, and also in terms of signature length. Analyses of security and efficiency demonstrate that our proposed scheme is provably secure and efficient in the application.     

基于遗传算法的光电干扰任务分配模型

 为评估光电干扰目标的威胁度，选取了目标的类型、速度、高度、距离、角度和目标的航路捷径等指标，构建了干扰任务分配模型，应用遗传算法对分配任务模型进行了求解，并通过实例验证方法的可行性。     

基于卷积神经网络和稀疏滤波的调制识别方法

针对当前通信系统所采用的主要调制方式,提出了一种基于卷积神经网络和稀疏滤波的调制识别方法。首先,分析了利用信号循环谱二维灰度图进行通信信号调制识别的可行性;然后,通过降采样和裁剪技术对循环谱图预处理;最后,设计了深度卷积神经网络架构,并提出了稀疏滤波预训练的方法。仿真结果表明:相比于经典的基于深度学习的调制识别方法,该方法模型简单,优化量少,且在小样本场景下性能最佳,具有很高应用价值。     

基于CAN-FD总线的车载网络安全通信

以数据加密和入侵检测为基础,建立了一种基于灵活数据速率控制器局域网络的汽车通信网络信息安全方法.提出了包括安全传输、安全启动、时间同步与密钥分配的汽车网络安全通信协议,并通过建立网络仿真模型验证安全协议的有效性.搭建了基于硬件实例的安全通信节点,测试硬件节点的实际通信性能和加密性能.最后针对汽车通信网络潜在的攻击方式,以Dolev-Yao入侵模型攻击和拒绝服务攻击为测试方法,对安全通信模型进行了安全性攻击测试和入侵检测功能验证,确定了网络入侵检测的判定指标.测试结果验证了该方法的安全性和可用性.     

基于神经网络动态优化的再入轨迹设计

为解决当飞行器出现破损以及飞行器受干扰时的轨迹优化问题,新一代的再入式飞行器需要有实时在线轨迹优化的能力。神经网络动态优化算法(neural dynamic optimization,NDO)的主要特点是能使神经网络逼近最优解。神经网络动态优化算法可以避免传统的间接法在求解轨迹优化问题时协态变量初值猜测问题。给出了神经网络动态优化的原理,详细介绍了优化流程。仿真结果表明神经网络动态优化算法可以很好的避免协态变量初值猜测问题,具有较强的鲁棒性,能满足实时性要求。     

含重置条款的或有可转债路径分解式定价

为了解决或有可转债在长期没有进行债转股的情况下,可能会出现的由于发行方无力支付高额息票而被迫对债券进行赎回的问题,设计了一种包含重置条款的或有可转债。首先,通过对债券存续期内标的股票价格可能发生的路径进行分解,分析了此类条款下债券价值的路径依赖特征;在此基础上,进一步确定了回售边界以及债券价值。通过数值分析得出,本文设计的或有可转债的价值低于相同参数下的不含任何附加条款的或有可转债的价值,并且条款的可用性与目前市场上普遍存在的可赎回或有可转债相比存在一定的优势。敏感度分析结果显示,债券价值与股价年波动率之间呈负相关关系,与修正条款执行日之间呈正相关关系,因而宜根据对未来市场风险的预测来选取适当的条款执行日。     

Multifunctional artificial nacre via biomimetic matrix-directed mineralization

Natural nacre, one of the most studied biological structural materials with delicate hierarchical structures and extraordinary performance, has inspired the design and fabrication of artificial structural ceramics with high fracture toughness. However, to meet the diverse requirements of different applications, future structural materials must be multifunctional with superior mechanical properties, such as strength, hardness, and toughness. Herein, based on the matrix-directed mineralization method for producing biomimetic structural materials, we introduce nanoparticles with different inherent functions into the platelets of artificial nacre via the co-mineralization of aragonite and the nanoparticles. Besides their enhanced mechanical properties, the obtained artificial nacre materials also exhibit different functions depending on the type of the nanoparticles. To extend the versatility of this strategy, the effects of nanoparticles of different sizes and zeta potentials on mineralization are also analyzed. This universal strategy can be applied to the fabrication of other types of functionalized biomimetic structural ceramics that have potential applications in various fields, such as biomedical science.     

Evolutionary game analysis of low-carbon behavior credit supervision of logistics enterprises

Based on the low-carbon obligation fulfillment of Chinese logistics enterprises, this study constructs a tripartite evolutionary game model to analyze the evolutionary process of the interaction between the local government, logistics enterprises and the public in the process of low-carbon behavior credit supervision. Then using Netlogo software, a parameter simulation experiment is conducted to determine the optimal policy for improving the effect of supervision. The results are as follows: ① The combined influence of the local government and the public can effectively change the strategic choice of enterprises and promote the low-carbon behavior of enterprises. ② In terms of improving the effect of supervision, reducing the cost of government supervision would have a highly significant effect, and reducing the cost of the public would be counterproductive. ③ Increasing the government subsidies to enterprises and the government’s fines to enterprises both have a significant effect, and the effect of improving the former is better. However, increasing the severity of higher-level governments punishing local governments will reduce the stability of the system. ④ Supervision can be more effective by increasing the public’s impact on enterprises’ earnings rather than by increasing government subsidies to the public.     

Systemic Design for Applying the Combined Use of SSM and CDA to Social Practices

In this paper, we propose a framework for applying the combined use of soft systems methodology (SSM) and critical discourse analysis (CDA) based on social semiotic systemic functional linguistics to social practices. In the social practice, ‘participation’ mode of Checkland’s SSM is used for ‘problem-solving’ whilst CDA is used to problematize ‘problem-solving’ processes within the practice. During the meta-process of problematization of our research, we used Churchman’s systems approach and its theory of ‘boundary critique’ in order to explore issues such as governance, inequality of power, and social values within the organization examined for this study. In other words, the process-oriented methodology proposed in this paper consists of two processes: that of ‘problem-solving’ based on SSM and of problematization of naturalized discourse from the perspective of CDA and two phases of boundary critique in social practice. A detailed account of a case study of Korean social enterprise is given to demonstrate how our proposed framework of the combined use of SSM and CDA is applied into practice. Reflecting the outcome of the case study, this paper argues that critical social research from systemic inquiry using what we call ‘process-oriented methodology’ is useful to address some of the social and complex issues related to understanding dynamic relation between power and discourse amongst participants in the social enterprise in Korean contexts.