Fuzzy entropy design for non convex fuzzy set and application to mutual information

Fuzzy entropy was designed for non convex fuzzy membership function using well known Hamming distance measure.The proposed fuzzy entropy had the same structure as that of convex fuzzy membership case.Design procedure of fuzzy entropy was proposed by considering fuzzy membership through distance measure,and the obtained results contained more flexibility than the general fuzzy membership function.Furthermore,characteristic analyses for non convex function were also illustrated.Analyses on the mutual information were carried out through the proposed fuzzy entropy and similarity measure,which was also dual structure of fuzzy entropy.By the illustrative example,mutual information was discussed.

One-Sample Bayesian Predictive Analyses for a Nonhomogeneous Poisson Process with Delayed S-Shaped Intensity Function Using Non-Informative Priors

The delayed S-shaped software reliability growth model (SRGM) is one of the non-homogeneous Poisson process (NHPP) models which have been proposed for software reliability assessment. The model is distinctive because it has a mean value function that reflects the delay in failure reporting: there is a delay between failure detection and reporting time. The model captures error detection, isolation, and removal processes, thus is appropriate for software reliability analysis. Predictive analysis in software testing is useful in modifying, debugging, and determining when to terminate software development testing processes. However, Bayesian predictive analyses on the delayed S-shaped model have not been extensively explored. This paper uses the delayed S-shaped SRGM to address four issues in one-sample prediction associated with the software development testing process. Bayesian approach based on non-informative priors was used to derive explicit solutions for the four issues, and the developed methodologies were illustrated using real data.

Non-intrusive hybrid interval method for uncertain nonlinear systems using derivative information

This paper proposes a new non-intrusive hybrid interval method using derivative information for the dynamic response analysis of nonlinear systems with uncertain-but- bounded parameters and/or initial conditions. This method provides tighter solution ranges compared to the existing polynomial approximation interval methods. Interval arith- metic using the Chebyshev basis and interval arithmetic using the general form modified affine basis for polynomials are developed to obtain tighter bounds for interval computation. To further reduce the overestimation caused by the ＂wrap- ping effect＂ of interval arithmetic, the derivative information of dynamic responses is used to achieve exact solutions when the dynamic responses are monotonic with respect to all the uncertain variables. Finally, two typical numerical examples with nonlinearity are applied to demonstrate the effective- ness of the proposed hybrid interval method, in particular, its ability to effectively control the overestimation for specific timepoints.

基于多尺度卷积与Informer混合模型的非侵入式负荷监测方法

针对现有非侵入式负荷监测方法存在的负荷分解准确率低、模型泛化性能差的问题,提出一种多尺度卷积与Informer网络相结合的非侵入式负荷监测方法。采用数据分段优化方法对功率信号进行分段,利用多尺度卷积核获取不同时间尺度的特征序列以及自适应提取多维度功率特征,从而形成特征矩阵;基于Informer网络中的概率稀疏自注意力机制在高维空间中充分捕获特性序列的长期依赖关系,从而提高预测准确率;利用分解值修正方法消除功率分解值中的“虚假”激活状态,以进一步提高分解精度。算例结果验证了所提方法的可行性。

Non-gyroscope DR and adaptive information fusion algorithm used in GPS/DR device

In view of the problems existing in GPS, a non-gyroscope DR is introduced. The operating principle and the algorithm of the GPS/DR device are also presented. By operating measured data synthetically, linear observation equations are obtained for the information fusion algorithm. This approach avoids model error due to linearizing nonlinear observation equations in the conventional algorithm, so that the stability of information fusion algorithm is improved and computation expenses are reduced. Field running experiments show that satisfactory accuracy can be obtained by the proposed navigation model and algorithm for the non-gyroscope GPS/DR device.

MUTUAL INFORMATION BASED 3D NON-RIGID REGISTRATION OF CT/MR ABDOMEN IMAGES

A mutual information based 3D non-rigid registration approach was proposed for the registration of deformable CT/MR body abdomen images. The Parzen Windows Density Estimation (PWDE) method is adopted to calculate the mutual information between the two modals of CT and MRI abdomen images. By maximizing MI between the CT and MR volume images, the overlapping part of them reaches the biggest, which means that the two body images of CT and MR matches best to each other. Visible Human Project (VHP) Male abdomen CT and MRI Data are used as experimental data sets. The experimental results indicate that this approach of non-rigid 3D registration of CT/MR body abdominal images can be achieved effectively and automatically, without any prior processing procedures such as segmentation and feature extraction, but has a main drawback of very long computation time.

Method of Designing Generators of Pseudorandom Sequences for Information Protection Based on Shift Register with Non-Linear Feedback Function

This paper proposes an efficient, high-tech method of construction of pseudorandom binary sequences generators with a repetition period 2n?for n-bit shift register with a nonlinear feedback function. The developed method is illustrated by constructing a nonlinear function feedback shift register. It is proved that the offered method requires the realization of a memory size proportional to n2?that allows making successful use of suitable generators for practical use on the shift register of the longer word.

Bidirectional transfer of quantum information for unknown photons via cross-Kerr nonlinearity and photon-number-resolving measurement

We propose an arbitrary controlled-unitary （CU） gate and a bidirectional transfer scheme of quantum information （BTQI） for unknown photons. The proposed CU gate utilizes quantum non-demolition photon-number-resolving measure- ment based on the weak cross-Kerr nonlinearities （XKNLs） and two quantum bus beams; the proposed CU gate consists of consecutive operations of a controlled-path gate and a gathering-path gate. It is almost deterministic and is feasible with current technology when a strong amplitude of the coherent state and weak XKNLs are employed. Compared with the existing optical multi-qubit or controlled gates, which utilize XKNLs and homodyne detectors, the proposed CU gate can increase experimental realization feasibility and enhance robustness against decoherence. According to the CU gate, we present a BTQI scheme in which the two unknown states of photons between two parties （Alice and Bob） are mutually swapped by transferring only a single photon. Consequently, by using the proposed CU gate, it is possible to experimentally implement the BTQI scheme with a certain probability of success.

The Quantitative Instability of Non-linearity System and the Particularity of Information

The present paper tries to discuss the quantity instability in the non-linearity dynamics equations without the limit of the stability in the dynamics equations. The result shows that the quantity instability of non-linearity can be deducted to the turning transformation in the curvature space. “The dynamics of varying acceleration" is not the issue of inertia system in science of the time. The particularity as information cannot limit the quantity instability with the quantity stability in inertia system. The particular information does have the significant meaning related to the turning transformation in evolution, in which each problem of non-linearity or matter evolution can go out of the inertia system by means of “kill three birds with one stone".

MANAGEMENT OF SPATIO-TEMPORAL DATA OF CADASTRAL INFORMATION SYSTEM IN CHINA

Cadastral Information System (CIS) is designed for the office automation of cadastral management. With the development of the market economics in China, cadastral management is facing many new problems. The most crucial one is the temporal problem in cadastral management. That is, CIS must consider both spatial data and temporal data. This paper reviews the situation of the current CIS and provides a method to manage the spatiotemporal data of CIS, and takes the CIS for Guangdong Province as an example to explain how to realize it in practice.

A rule induction algorithm for incomplete information system

Incompleteness of information about objects may be the greatest obstruct to performing induction learning from examples. In this paper, the concept of limited-non-symmetric similarity relation is used to formulate a new definition of approximation to an incomplete information system. With the new definition of approximation to an object set and the concept of attribute value pair, rough-setsbased methodology for certain rule acquisition in an incomplete information system is developed. The algorithm can deal with incomplete data directly and does not require changing the size of the original incomplete system. Experiments show that the algorithm provides precise and simple certain decision rules and is not affected by the missing values.

Reliable Multi-path Routing in Selfish Networks with Hidden Information and Actions

In this paper, we propose a novel game-theoretical solution to the multi-path routing problem in wireless ad hoc networks comprising selfish nodes with hidden information and actions. By incorporating a suitable traffic allocation policy, the proposed mechanism results in Nash equilibria where each node honestly reveals its true cost, and forwarding subgame perfect equilibrium in which each node does provide forwarding service with its declared service reliability. Based on the generalised second price auction, this mechanism effectively alleviates the over-payment of the well-known VCG mechanism. The effectiveness of this mechanism will be shown through simulations.

NOMA增强型D2D组的鲁棒资源分配算法

为提高非正交多址接入(non-orthogonal multiple access,NOMA)增强型设备到设备(device-to-device,D2D)组链路的鲁棒性和能效,考虑非理想信道状态信息(channel station information,CSI),提出一种能效优化的鲁棒资源分配算法.首先,在保证子信道分配、蜂窝用户和D2D组最小速率以及D2D组最大传输功率约束下,建立最大最小鲁棒能效模型;其次,考虑最坏情况法将信道不确定性建模为有界信道估计误差,并用泰勒级数展开式、凸松弛、变量转换法将原多变量耦合问题转化为凸优化问题;最后,用拉格朗日对偶理论求解.仿真结果表明,所提出的算法将传输速率控制在最低速率阈值以上,具有良好的鲁棒性,与其他算法相比能效提高了8.3%.

非家族股东超额委派董事与企业会计信息质量——来自上市家族企业的经验证据

如何认识股东超额委派董事这一行为,切实规范董事会决策机制,已成为公司治理领域亟待解决的问题。现有研究主要探讨了控股股东超额委派董事对企业经济决策行为的影响,鲜有文献从非控股股东超额委派董事的视角展开讨论。鉴于此,本文以2008—2021年我国上市家族企业为研究对象,深入考察非家族股东超额委派董事与企业会计信息质量之间的关系。研究发现,非家族股东超额委派董事会降低企业会计信息质量。机制分析表明,非家族股东超额委派董事会加剧第一类代理冲突,进而导致企业会计信息质量下降。进一步研究发现,当内部控制质量较低、企业处于非数字化转型期、外部审计监督较弱、地区市场化进程较慢时,非家族股东超额委派董事对企业会计信息质量的负向影响更显著。经济后果分析表明,非家族股东超额委派董事降低了会计信息质量,由此增加了企业股价崩盘风险,即会计信息质量在两者之间具有部分中介作用。

基于硬件损伤和非完美CSI的IRS辅助NOMA网络鲁棒传输算法

为提升非正交多址接入(NOMA,non-orthogonal multiple access)网络的鲁棒性并减少其能量消耗,考虑了收发器的硬件损伤(HWI,hardware impairment)和非完美的信道状态信息(CSI,channel state information),提出了智能反射面(IRS,intelligent reflecting surface)辅助的NOMA网络传输功率最小化算法。考虑了用户服务质量(QoS,quality of service)约束、串行干扰消除约束以及IRS的反射相移约束,基于HWI和非完美CSI建立了基站主动波束成形和IRS被动波束成形联合优化问题模型。为求解该非凸优化问题,首先利用线性近似和S-Procedure方法对QoS约束进行转换,然后将优化问题分解为两个子问题,并且利用逐次凸逼近(SCA,successive convex approximation)方法求解主动波束成形子问题,利用惩罚凸凹过程算法求解被动波束成形子问题,最后利用交替优化将子问题交替迭代得到最终解。仿真结果表明,在传输功率方面,所提算法比正交多址鲁棒算法降低了17.05%;在系统鲁棒性方面,所提算法相较于HWI鲁棒算法和CSI鲁棒算法,分别提升了20.69%和31.14%。

基于信息可视化的非线性超声研究现状及成熟度分析

基于信息可视化分析,对非线性超声的研究现状进行分析。检索Web of Science数据库,得到非线性超声相关文献4061篇。对关键词进行可视化分析及聚类分析,非线性超声领域关键词主要涉及6个方面,目前主要侧重于理论研究。对于应用范围,在微裂纹、结构监测等方面具有应用前景。对非线性超声的论文数及专利数进行技术成熟度分析,结果表明其处在技术发展的增长期。

论个人信息侵权中的“损害”

数字时代背景下,个人信息侵权中的损害与传统私法中损害的经典概念之间存在龃龉,使得个人信息侵权难以被损害赔偿请求权所涵盖。《中华人民共和国个人信息保护法》第69条中的损害包括财产损害与非财产损害,但司法实践中几乎不存在财产损害;同时,作为精神损害赔偿适用要件之一的严重精神损害也较少出现。个人信息侵权的实质是对人格利益,即人格自由与尊严的损害,从损害救济角度来看,传统的“损害”概念应当进行革新与扩张。故而,将非严重精神损害与升高的未来风险纳入个人信息侵权损害概念体系之中,具有一定的理论基础与比较法解释基础。为了促进《中华人民共和国个人信息保护法》的适用和对被告予以充分威慑,文章认为,应当基于损害类型构建赔偿责任体系,淡化精神损害赔偿认定的标准,引入惩罚性赔偿制度,确定侵害个人信息权益的小额损害最低赔偿限额。

基于SWIPT的无小区大规模MIMO-NOMA系统能量效率研究

无小区大规模多输入多输出(Multiple-Input Multiple-Output,MIMO)与非正交多址接入(Non-Orthogonal Multiple Access,NOMA)都是未来6G的使能技术。无线携能通信(Simultaneous Wireless Information and Power Transfer,SWIPT)技术在进行信息解码的同时收集能量,与无小区大规模MIMO-NOMA优势互补。文中基于SWIPT研究无小区大规模MIMO-NOMA系统中的能量效率问题,通过联合优化功率分配系数和SWIPT的时隙切换(Time Switching,TS)系数,提高系统的能量效率。为了最大化能量效率,采用布谷鸟算法设计功率分配系数。考虑一种特殊情况,将所有终端的TS系数设置相同,进而推导了最佳TS系数的封闭表达式。仿真结果表明,相较于几种已有方案,文中提出的优化方案可以显著提升系统的能量效率。

滑坡易发性预测建模的不确定性:不同“非滑坡样本”选择方式的影响

滑坡易发性预测建模中如何选择非滑坡是影响建模结果的重要不确定因素。为研究不同非滑坡选择方式的影响规律,拟用5种方式,即全区随机、坡度低于5°区域、滑坡缓冲300 m外区域、信息量(IV)法、半监督法来选择出与滑坡等比例的非滑坡样本;进一步将各选择方式与随机森林(RF)耦合构建随机RF、低坡度RF、缓冲区RF、IV–RF及半监督RF等模型。以江西南康区为例,获取高程、岩性、公路密度等19种环境因子和233个滑坡编录,将滑坡编录划分为2598个滑坡栅格单元构建上述耦合模型的输入–输出数据集。再采用预测精度和易发性指数分布等指标分析其建模不确定性。进一步针对耦合模型预测的滑坡易发性指数分布不合理等问题,在半监督RF建模时采用滑坡与非滑坡比例为1∶2的样本集开展建模并与1∶1等比例样本集工况作对比。结果表明:1)低坡度RF、缓冲区RF、IV–RF和半监督RF等模型的预测精度均大幅优于随机RF模型,可见准确选择非滑坡样本对易发性建模至关重要;2)半监督RF模型选择非滑坡样本的建模性能最优,且半监督RF在滑坡∶非滑坡=1∶2比其在1∶1时预测的易发性指数分布规律更准确可信。后续研究中有必要更深入探索滑坡与非滑坡样本的比例问题。

孤独症谱系障碍者的视觉感知:基于贝叶斯和预测编码视角

贝叶斯和预测编码理论为孤独症谱系障碍(autism spectrum disorder,ASD)者的感觉加工异常提供了争议性的解释。通过聚焦非社会视觉信息,可从贝叶斯推理、预测编码过程和预测编码精确度三个层面概述理论细节差异并归纳实证证据。基于贝叶斯推理的弱先验和精确似然假说对ASD者视觉加工异常的解释仅停留在描述性层面;关注预测编码过程的假说或观点进一步推动了对ASD者视觉加工特异性的细化,但仍不具备解释功能;聚焦预测编码精确度的假说提供了理论解释,但需进一步完善理论细节和更多精细化的实证研究加以检验。未来研究应通过先细化再整合的路径归纳ASD者预测加工特异性、从ASD者主观体验视角检验理论内容及从发展性视角考察预测功能在ASD者成长中的变化。