A new order relation on fuzzy soft sets and its application

In this paper, a new order relation on fuzzy soft sets, called soft information order, is introduced and its application to decision-making is investigated. It is shown that the collection of all fuzzy soft sets (over a given universe set), equipped with this new order, forms a complete Heyting algebra. The representation theorem of fuzzy soft sets with respect to the soft information order is also obtained. We initiate the concepts of soft set satisfaction problems and their solutions. An algorithm is presented to solve such decision-making problems.     

一种实时语声控制器的设计与实现

针对ANALOG DEVICES公司的数字信号处理芯片ADSP2181,给出一种实现实时语声控制器的方法.详细描述ITU-T G.728语声信号的能量的计算和软件设计方法.     

A survey on privacy inference attacks and defenses in cloud-based Deep Neural Network

Deep Neural Network (DNN), one of the most powerful machine learning algorithms, is increasingly leveraged to overcome the bottleneck of effectively exploring and analyzing massive data to boost advanced scientific development. It is not a surprise that cloud computing providers offer the cloud-based DNN as an out-of-the-box service. Though there are some benefits from the cloud-based DNN, the interaction mechanism among two or multiple entities in the cloud inevitably induces new privacy risks. This survey presents the most recent findings of privacy attacks and defenses appeared in cloud-based neural network services. We systematically and thoroughly review privacy attacks and defenses in the pipeline of cloud-based DNN service, i.e., data manipulation, training, and prediction. In particular, a new theory, called cloud-based ML privacy game, is extracted from the recently published literature to provide a deep understanding of state-of-the-art research. Finally, the challenges and future work are presented to help researchers to continue to push forward the competitions between privacy attackers and defenders.     

基于多通道脑电信号的因果网络情绪识别

情绪是由大脑内多个通道共同作用产生的,格兰杰因果检验作为情绪识别的主流方法,在计算任意2个通道之间的因果关系时容易忽略其他通道的影响。面向多通道脑电信号,提出一种基于条件格兰杰因果检验（CGC）的因果网络情绪识别方法。利用CGC算法计算不同情绪下大脑全通道的因果关系,据此构建因果网络,并通过分析各通道的入/出度和介数拓扑属性找到关键通道,得到简化的因果网络进行情绪识别。将节点之间的因果连接关系作为特征分别输入SVM和KNN分类器进行分类训练,实验结果表明,简化网络的识别率分别为75.3%和78.4%,验证了所提方法的有效性。     

面向节点-节点的进化测试改进方法

传统方法不能对进化测试中所有面向节点-节点的测试类型都构造具有良好导向的适值函数。针对该问题,基于面向节点-节点进化测试系统模型,不考虑节点的执行顺序和控制流关系,从节点的独立性出发,提出一种改进的适值函数计算方法。实验结果表明,对离散节点之间没有数据依赖关系的覆盖准则,该方法代价较小、运行稳定。     

One- and two-photon absorption properties of a series of derived pyrazolines

The one-photon absorption and two-photon absorption (TPA) properties of a series of pyrazoline derivatives have been theoretically investigated by means of density functional theory and ZINDO-SOS method. On the basis of optimized geometry and UV–vis spectrum, the position and strength of the TPA for molecules are reported. The theoretical findings are consistent with the experimental observations. It is found that a most crucial role in increasing TPA cross-section is played by the conjugated length and the introduction of donors. The calculated maximum TPA cross-section values are in the range of 360–1760 × 10⁻⁵⁰ cm⁴ s/photon. The TPA response will be as another possible application for derived pyrazoline.     

Influence of propyl alcohol addition during processing of molybdenum trioxide powders: Observation of novel dual-wavelength excitation photochromism

The novel dual-wavelength excitation photochromic molybdenum trioxide (MoO₃) powders are fabricated successfully via the hydrothermal method by the addition of propyl alcohol. The samples were fully characterized by means of X-ray diffraction (XRD), scanning electron microscopy (SEM), ultraviolet–visible diffuse reflectance spectroscopy (UV–vis), and colorimetry. The characteristic spectrum of XRD demonstrates that the as-obtained products are highly pure. The results show that the flowerlike MoO₃ sample with the inducer of propyl alcohol has better photochromic properties, which was analyzed by colorimetry. It is shown that both of the samples exhibit a strong adsorption band between 250 and 400 nm in the UV range. Moreover, the UV–vis spectra shows that MoO₃ synthesized with added propyl alcohol absorbs light not only between 250 and 400 nm but also displays an additional band between 500 and 800 nm, demonstrating novel dual-wavelength excitation photochromic properties.     

基于粒子滤波的混沌系统参数估计和滤波方法

混沌系统的参数估计是混沌系统控制和同步的前提。鉴于混沌系统具有初值敏感性、不能长期预测等特点,提出了一种基于粒子滤波(PF)的混沌系统参数估计和滤波方法,并将其用于Lorenz混沌系统的参数估计和滤波,在叠加噪声情况下对混沌系统进行仿真分析。结果表明,文中提出的滤波方法在估计偏差方面优于基于扩展卡尔曼滤波（EKF）的混沌系统参数估计和滤波方法,对混沌系统的参数估计和滤波是一种有效的方法。     

基于纠错码理论的群组认证

为解决群组认证中非法签名难以标定的问题,本文基于数字通信系统中的纠错码理论,提出了一个非适应性组合群组认证方案.该方案首先根据纠错码理论构造认证节点分组算法,然后按照分组进行节点签名的批量认证,再对分组认证结果进行迭代,从而标定非法签名,最后进行了例证演示.复杂度分析表明,针对n个签名（含有r个非法签名）进行非法者标定的问题,运用群组认证的标定次数远远小于逐一认证的n次,准确性演化结果表明当r远远小于n时,群组认证非法签名的标定成功概率接近于1.