Steganalysis of neural networks based on parameter statistical bias

Many pretrained deep learning models have been released to help engineers and researchers develop deep learning-based systems or conduct research with minimall effort. Previous work has shown that at secret message can be embedded in neural network parameters without compromising the accuracy of the model. Malicious developers can, therefore, hide malware or other baneful information in pretrained models, causing harm to society. Hence, reliable detection of these vicious pretrained models is urgently needed. We analyze existing approaches for hiding messages and find that they will ineluctably cause biases in the parameter statistics. Therefore, we propose steganalysis methods for steganography on neural network parameters that extract statistics from benign and malicious models and build classifiers based on the extracted statistics. To the best of our knowledge, this is the first study on neural network steganalysis. The experimental results reveal that our proposed algorithm can effectively detect a model with an embedded message. Notably, our detection methods are still valid in cases where the payload of the stego model is low.     

基于作战环的不同节点攻击策略下的作战网络效能评估

基于作战环思想, 以作战网络抽象模型为基础, 围绕作战环的分类、定义、形式化描述、数学模型等基本问题开展了理论研究, 进一步丰富了作战环理论体系。同时, 以能否快速有效打击对方目标实体为根本依据, 建立了基于目标节点打击率和基于目标节点打击效率的作战网络效能评估指标。通过仿真实验, 将作战环相关理论运用于不同节点攻击策略下的作战网络效能评估, 为实际作战体系对抗中双方的攻击与防护提供应用指导, 也为进一步开展基于作战环的作战网络应用研究提供参考借鉴。     

健身指导与实践校本课程开发程序研究

在国家师范类专业认证背景下,根据内江师范学院"三分式"人才培养改革模式,对健身指导与实践校本课程开发依据进行分析,对影响因素归纳总结,并对该课程开发程序进行研究.     

Predictive Event-Triggered Control for Disturbanced Wireless Networked Control Systems

The control and scheduling for wireless networked control system with packet dropout and disturbance are investigated. A prediction based event triggered control is proposed to reduce data transmissions while preserving the robustness against external disturbance. First, a trigger threshold is especially designed to maintain the difference of the estimated and actual states below a proper boundary when system suffers from packet dropout. Then a predictive controller is designed to compensate for packet dropouts by utilizing the packet-based control approach. The sufficient conditions to ensure the closed-loop system being uniformly ultimately bounded are derived, with consequently the controller gain method. Numerical examples illustrate the effectiveness of the proposed approach.     

不同边界条件薄壁截锥壳的高阶振动特性研究

采用传递矩阵法研究了不同边界条件下薄壁截锥壳的高阶振动特性.基于Love壳体理论建立薄壁截锥壳振动微分方程,根据薄壁截锥壳子段间的状态向量,通过传递矩阵法得出整体传递矩阵,并用高精度的精细积分法计算固有频率,通过文献和有限元法进行验证,并分析了薄壁截锥壳在不同边界条件下的高阶振动特性.结果表明,不同边界条件下,采用传递矩阵法计算高阶固有频率与有限元法的计算结果基本一致.当轴向半波数增加时,频率明显增大;随着周向波数的增加,频率先减小后增大.固支-固支和简支-简支边界下在m=1和n=7处得到最小频率,固支-自由边界下在m=1和n=6处得到最小频率,三种边界下最小频率值分别为400.1、325.6和226.1 Hz;边界条件约束越多,最低阶固有频率越大.     

基于科技查新数据的用户拓展及其关联聚类

科技查新用户数据是查新业务积累的真实而宝贵的资源,其充分利用不仅是查新业务管理的需要,可提升查新服务水平,同时还能用于挖掘更多的情报价值.调研发现,当前对科技查新用户数据的挖掘利用仍以基础性的业务管理分析为主,而增值情报价值的挖掘较少.为拓展成都文献情报中心科技查新客户群体和增值服务范围,做大做强查新业务,立足成都中心查新服务实践,依托于积累查新用户及其服务记录,在挖掘发现潜在服务对象的基础上,通过多维用户关联聚类,探讨了后期信息情报服务的精准营销与推送,分析了基于用户聚类的服务推荐存在的不足,展望了挖掘更多需求信息的推荐路径.     

飞秒光纤光源的波分解复用 复用实验

为研究飞秒光源作为链路初始光源的可行性，使用阵列波导光栅（AWG）对265 fs光纤光源进行波分解复用 复用实验。实验光源波长为1 52765～1 56505 nm，通道数为48，通道间隔为080 nm。研究发现:在分波实验中，飞秒光纤光源经过AWG后，扫描谱线3 dB带宽为064 nm ，相邻通道串扰为2726 dB，比连续光源增大502 dB；在合波实验中，观察到AWG多端口端对宽带光源的波长选择作用，验证了AWG的色散特性，发现多光束的输出谱线总体轮廓未出现太大变形；在波分解复用 复用实验中，谱线最大损耗为251 dB，输出谱线轮廓和初始光谱基本一致，信号在传输过程中未出现明显失真，证明飞秒光源作为链路初始光源的可行性。     

基于差异信息量的多源数据融合方法

D-S证据理论可应用于多源数据融合领域，但在处理高度冲突的证据时，可能会出现反直觉的结果.为解决这一问题，本文提出了差异信息量的概念及融合方法.首先，通过信息熵表明证据的相对重要性，采用散度获取证据可信度.然后利用证据可信度优化证据差异度以得到差异信息量，经过计算获取数据的最终权重，并将其作为D-S证据理论中的基本概率分配进行决策.在处理冲突证据、一致证据及不同数量证据等方面的数据融合问题时与其他方法对比，所提方法收敛更快，准确度更高.故障诊断的应用实例表明，所提方法的不确定性更小，优于现存的其他方法.     

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.