A time-space network-based model for transportation service optimization of China Railway Express

This paper describes the development and optimization plans for the China Railway Express(CR Express).As a new type of international land transport organization,CR Express has emerged with the continuous expansion of China toward European investment and trade,and in particular,has expanded with the continuous progress of the One Belt and One Road(OBOR)initiative.In addition to improving the service quality of CR Express,the operating costs must be reduced for developing“smart railways”that serve“smart cities”.We propose a dualobjective-based function mathematical optimization model;the satisfaction of the cargo owner is considered,and the timeliness,transportation capacity,and goods category constraints of CR Express transportation are designed.Moreover,we present the normalized equivalent method of the two-objective function of the model.Finally,a case study is conducted against the background of certain trains in the western corridor of CR Express to validate the effectiveness of the model and research methods proposed in this study.

Finite Difference Schemes for Time-Space Fractional Diffusion Equations in One-and Two-Dimensions

In this paper,finite difference schemes for solving time-space fractional diffusion equations in one dimension and two dimensions are proposed.The temporal derivative is in the Caputo-Hadamard sense for both cases.The spatial derivative for the one-dimensional equation is of Riesz definition and the two-dimensional spatial derivative is given by the fractional Laplacian.The schemes are proved to be unconditionally stable and convergent.The numerical results are in line with the theoretical analysis.

Many Kinds of Reserved Judgement in No-Data Problem

The reserved judgment can be broadly categorized into three types: Re-Do, Re-Set, and Natural Flowing Case (i.e. step by step in Re-Try). Hori et al. constructed the Bayes-Fuzzy Estimation and demonstrated that system theory can be applied to the possibility of Markov processes, and that decision-making approaches can be applied to sequential Bayes estimation. In this paper, we focus on the Natural Flowing Case within reserved judgment. Here, the possibility of oblique (or principal) factor rotation is considered as a part of the tandem fuzzy system that follows step by step for sequential Bayes estimation. Ultimately, we achieve a significant result whereby the expected utility can be calculated automatically without the need to construct a utility function for reserved judgment. There, this utility in Re-Do can be calculated by the prior utility, and that utility in Re-set does not exist by our research in this paper. Finally, we elucidate the relationship between fuzzy system theory and fuzzy decision theory through an applied example of Bayes-Fuzzy theory. Fuzzy estimation can be applied to only normal making decision, but it is impossible to apply abnormal decision problem. Our Vague, specially Type 2 Vague can be applied to abnormal case, too.

TIME-SPACE CONCEPT FOR PRECISION MEASUREMENT

The transformation between time and space is discussed. To improve real-time response speed of intelligent measuring system, the concept of exchanging program execution time with more circuitry is presented working in cycle mode. Displacement measuring by magnification is achieved with period measurement by magnification. To change the condition that traditional precision measurement depends on machining precision greatly, the concept of measuring space with time and theory of time-space coordinate transformation are proposed. Guided by the idea of measuring space with time, differential frequency measurement system and time grating displacement sensor are developed based on the proposed novel methods. And high-precision measurement is achieved without high-precision manufacture, which embeds the remarkable characteristics of low cost but high precision to the devices. Experiment and test results conform the validity of the proposed time-space concept.

Adaptive time-space resource and waveform control for collocated MIMO radar with simultaneous multi-beam

Collocated multiple input multiple output(MIMO)radar,which has agile multi-beam working mode,can offer enhanced multiple targets tracking(MTT)ability.In detail,it can illuminate different targets simultaneously with multi-beam or one wide beam among multi-beam,providing greater degree of freedom in system resource control.An adaptive time-space resource and waveform control optimization model for the collocated MIMO radar with simultaneous multi-beam is proposed in this paper.The aim of the proposed scheme is to improve the overall tracking accuracy and meanwhile minimize the resource consumption under the guarantee of effective targets detection.A resource and waveform control algorithm which integrates the genetic algorithm(GA)is proposed to solve the optimization problem.The optimal transmitting waveform parameters,system sampling period,sub-array number,binary radar tracking parameterχ_i(t_k),transmitting energy and multi-beam direction vector combination are chosen adaptively,where the first one realizes the waveform control and the latter five realize the timespace resource allocation.Simulation results demonstrate the effectiveness of the proposed control method.

Adaptive resource management for multi-target tracking in co-located MIMO radar based on time-space joint allocation

Compared with the traditional phased array radar, the co-located multiple-input multiple-output(MIMO) radar is able to transmit orthogonal waveforms to form different illuminating modes, providing a larger freedom degree in radar resource management. In order to implement the effective resource management for the co-located MIMO radar in multi-target tracking,this paper proposes a resource management optimization model,where the system resource consumption and the tracking accuracy requirements are considered comprehensively. An adaptive resource management algorithm for the co-located MIMO radar is obtained based on the proposed model, where the sub-array number, sampling period, transmitting energy, beam direction and working mode are adaptively controlled to realize the time-space resource joint allocation. Simulation results demonstrate the superiority of the proposed algorithm. Furthermore, the co-located MIMO radar using the proposed algorithm can satisfy the predetermined tracking accuracy requirements with less comprehensive cost compared with the phased array radar.

A Time-Space Optimal Parallel Sorting on a Hypercube

In this paper we discuss a parallel sorting algorithm on a hypercube. Its time complexity is O(n logn/p) +O(n). Here, P is the number of processors available and n, the amount of items to be sorted. Take the problem of time-space optimization into consideration, when P≤ O(log n), this algorithm is both timespace optimal and cost optimization. But this means only speedup is O(P) and it is not linear speedup. Therefore, we further discuss relevant parallel efficiency problems.

A "TIME-SPACE" RELATED DESIGN METHOD OF FREEZING WALL

Artificially ground freezing (AGF) is one of the main methods to establish temporary support for shaft sinking in unstable water bearing strata. Domde (1915) formula based on frozen soil strength has widely been used for designing freezing wall thickness. However, it can not ensure the stability of freezing wall, nor guarantee the safety of shaft construction as frozen depth increases in unstable water bearing strata. F A. Auld (1985, 1988)[1,2] presented a design method of freezing wall, which is on the basis of strength and stability, together with deformation of freezing wall. This paper, according to the practice in China, describes a "time -space" related design method for deep freezing wall. The method is based on "time-space" concept, which includes influence of excavation rate of advance, unsupported length of freezing wall and the sump state on inward deformation of freezing wall, and the allowable pipe deformation caused by inward deformation of freezing wall. Finally, successful application of this method to the large scale coal mine-Jining No. 2 Mine[3] in Shandong Province of China is presented. It saved much investment compared with F. A. Auld’s design for the same mine.

A traffic model of optical networks based on time-space complexity and traffic grooming

This paper researched the traffic of optical networks in time-space complexity,proposed a novel traf-fic model for complex optical networks based on traffic grooming,designed a traffic generator GTS(gener-ator based on time and space)with 'centralized+distributed' idea,and then made a simulation in Clanguage.Experiments results show that GTS can produce the virtual network topology which can changedynamically with the characteristic of scaling-free network.GTS can also groom the different traffic andtrigger them under real-time or scheduling mechanisms,generating different optical connections.Thistraffic model is convenient for the simulation of optical networks considering the traffic complexity.

Modeling of Surface Waves in a Fluid Saturated Poro-Elastic Medium under Initial Stress Using Time-Space Domain Higher Order Finite Difference Method

In this present context, mathematical modeling of the propagation of surface waves in a fluid saturated poro-elastic medium under the influence of initial stress has been considered using time dependent higher order finite difference method (FDM). We have proved that the accuracy of this finite-difference scheme is 2M when we use 2nd order time domain finite-difference and 2M-th order space domain finite-difference. It also has been shown that the dispersion curves of Love waves are less dispersed for higher order FDM than of lower order FDM. The effect of initial stress, porosity and anisotropy of the layer in the propagation of Love waves has been studied here. The numerical results have been shown graphically. As a particular case, the phase velocity in a non porous elastic solid layer derived in this paper is in perfect agreement with that of Liu et al. (2009).

Earthquake-Affected Time-Space Domain, Recurrence Interval and Effective Preparation Time of Earthquakes

The study shows that earthquake-affected time-space domain (ETSD), i.e. a time-space range in which strong earthquakes are unable to occur owing to the influence of a prior earthquake occurring, shows a hyperbolic margin curve in the t(time)-r(distance) coordinate plane, which has a maximum affected radius r 0 at t=0 and a maximum influence time t 0 (i.e. the in-situ recurrence interval of earthquakes) at r=0. Based on the time-distance distributions of posterior earthquakes relative to prior ones in the regions of North China, Northwest China, Qinghai-Xizang (Tibet) plateau and Southwest China, the optimized and 90%-confidence margin curves are estimated using optimization and statistical analysis methods. This indicates that the concept and method of ETSD with 3-dimension (time-distance-magnitudes) instead of those of “recurrence interval" with 1-dimension (time) or 2-dimension (time-magnitude) provides a new approach to understanding the fluctuation of seismic activities, estimating the effective earthquake-preparation time of potential hypocenters, and therefore improving the medium- and long-term prediction of strong earthquakes.

SLC Method and Earthquakes' Clustering Features in Time-Space in the Top Area of the Kunlun-Altun-Arc

By using the SLC(Single-Link Cluster)method,this study worked in three respects:(a)set up three-dimensional(3-D)SLC software that can deal with a large catalogue of earthquakes and analyze the characteristics of earthquakes’ clustering and scattering in time-space:(b)defined several parameters to describe the distinguishing feature for the SLC frame and developed a technique to calculate the 3-D SLC frames and these parameters with gradual time-sliding,and inspected their variations with time,especially before large events; and(c)by using these means,treated the earthquake catalogue in the top area of the Kunlun-Altun-Arc as well as some valuable results that had been obtained.

程序出罪的内涵重塑与判断标准

随着犯罪治理多元化进程的加快,程序出罪的重要性日益凸显。如何在实体入罪的同时通过程序出罪实现犯罪治理多元化成为理论研究的重点课题。既有研究未能妥善解决程序出罪的概念共识问题,导致程序出罪的理论基础不清、适用范围不明、体系协调性不足。对此,应通过逐级分析“不入罪”与“出罪”,以及“实体出罪”与“程序出罪”的理念差异,凸显程序出罪的独立性。程序出罪的本质属性表现为因裁量性程序终止行为使行为人在法律意义上无罪。因存在犯罪阻却事由、法益恢复事由、证据不足、欠缺诉讼条件导致的法定性程序终止因不具有个案利益衡量特性,与程序出罪存在本质差异。在此基础上,应进一步明确程序出罪的判断标准,处理好不同属性利益之间的衡量问题,即制定不同出罪情节的叠加适用标准,以及出罪与入罪情节之间的冲突衡量标准。

基于情感和认知协同的道德判断方法

随着大语言模型的迅速发展,大语言模型的安全性逐渐引起了研究者和公众的密切关注.为了防止大语言模型在与人类协作中对人类产生伤害,如何确保大语言模型在日常场景中的判断能与人类道德观念相符成为了一个重要问题.其中一个关键的挑战是,如何确保大语言模型在道德判断方面,能够像人类那样,针对不同的情境,灵活地调整或重新考虑预定的规则,从而使其判断与人类的道德观念保持一致.受心理学和认知科学中关于人类道德判断的情感和认知影响因素研究的启发,结合大语言模型在认知推理和情感分析能力上的优势,设计了一种模仿人类道德判断过程中情感判断和认知判断能力交互的方法,从而提升了大语言模型的道德判断表现.实验结果证明了所提方法在该任务上的有效性.总的来说,不仅为大语言模型的道德判断提供了一种创新的方法,也强调了心理学与认知科学理论在此领域的重要性,为未来的进一步研究奠定基础.

江苏促进民营企业做大做优做强的路径研判

民营经济是推进中国式现代化的生力军,民营企业是民营经济的经营主体或微观载体,因此,凡是能促进民营经济发展壮大的政策举措,都应在民营企业身上添力赋能、见功见效。《中共中央国务院关于促进民营经济发展壮大的意见》明确提出“促进民营经济做大做优做强”,并且竖起了三大“指路牌”。这三个“引导”,契合当下江苏民营企业发展的实际情况,但做大做优做强民营企业是一项十分艰巨复杂的系统工程,江苏政企双方不仅要围绕政策落实、法律执行、合规经营等“相向而行”,更要深入研判推进路径。当前江苏做大做优做强民营企业,首要路径是解放思想弘扬精神,关键之路是坚定方向转型升级,成功之道在于改革开放创新驱动。如此三路并进从而形成强大合力,定能推动民营企业在高质量发展征程上“打头阵、当先锋、树高峰、建新功”。

企业披露数据资源会影响审计质量吗?——基于审计师的多维学习视角

数据资源的发展日臻成熟,成为企业的新质生产要素。本文通过挖掘2011-2022年我国A股上市公司年报中披露的数据资源数额,探究其对审计质量的影响,研究发现,企业披露数据资源对审计质量具有负向影响。机制分析显示,企业披露数据资源通过削弱企业内部控制质量,增加对区块链与人工智能技术的使用程度,从而降低审计质量。基于审计师的多维学习视角,进一步发现审计师在职场内进行主动学习的作用有限,而职场外的主动与职场内外的被动学习均能更好地提升其对于数据资源的判断和决策效用。此外,企业披露不同类别的数据资源均会对审计质量造成影响。本文从审计师专业判断和职业学习层面拓展了审计质量的研究框架,对完善数据资源披露等相关准则及审计师职业学习理论等具有重要价值。

基于实测数据的机动目标探测性能评估研究

基于TTP准则的静目标鉴别性能理论模型评估方法具有环境适应性强、性能预测准确、系统参数优化便利等优点,但此方法对动目标探测性能评估的准确性还需展开进一步研究。为了准确评估动目标的探测性能,文中搭建了靶标运动系统、红外目标生成系统和目标采集及储存系统;采用人眼阈值判断实验方法实现不同成像作用距离、不同运动速度、不同靶标尺寸下的目标探测性能评估,获得了目标探测概率性能曲线;结合NVThermIP现场性能评估理论模型,在系统性能参数输入一致时计算目标探测性能。实验结果表明:NVThermIP现场性能预测模型对于动目标探测性能的预测存在一定偏差,在实验测量的目标运动速率范围内,随着目标运动速率的提升,目标更易被探测。实验结果为动目标性能评估理论模型的修正提供了数据支持。

案件溢出事实对法院裁判形成过程的影响

准确把握与合理运用案件溢出事实,对于案件定量裁判的公正性具有重要的实践价值和意义。以民事纠纷中的彩礼案为例,我国已形成案件溢出事实运用的规范主义的三种进路。然而,这些规范主义进路存在难以对溢出事实作出穷尽规定,难以量化把握溢出事实的运用,以及已有的典型案例和司法解释尚有矛盾或欠严谨等主要问题。因而在案件的定量裁判中,裁判者对溢出事实的判断和运用仍需遵循实践主义逻辑,要基于个案溢出事实与主要事实的内在联系,从情理角度对案件的溢出事实加以衡量,并以可靠性作为判断和运用案件溢出事实的前提。运用案件溢出事实作出的定量裁判结果的正当性证成,需以当事人对裁判结果存在最低限度的可接受性为前提。

民事枉法裁判罪认定难点刍议

民事枉法裁判行为严重损害司法权威和司法公信力,伤害人民群众对司法公平正义的信任,是刑法严厉打击的对象。实务中在具体认定时需要解决三个方面的问题,一是本罪的主体包括未直接参与民事案件审理但对枉法结果的发生起到决定性作用的实质裁判者;二是判断行为人违背事实和法律作出枉法裁判的主观内容,可以从客观行为、裁判结果、认知水平三个维度进行考察综合判定;三是民事枉法裁判的发生往往始于“徇私情、徇私利”的主观动机,遵循这一引线考察行为人是否存在徇私情节—故意违背事实和法律—作出枉法裁判的行为逻辑,可以有效排除行为人关于自由裁量权的辩解,准确认定相关犯罪。

面向超分辨率重建的层次间局部特征增强网络

基于卷积神经网络的超分辨率重建模型以单项传播为主,层次越靠后感知信息的能力越微弱,导致层次间局部特征部分丢失,难以实质提升网络的特征表达能力。针对此问题,提出层次间局部特征增强网络。该方法由级联残差模块、层次间特征增强块和特征感知注意力机制组成。级联残差模块通过有效残差连接增加对残差分支信息的利用;层次间特征增强块提取不同深度特征的依赖关系,自适应调整中间层特征权值增强捕获关键信息的能力;特征感知注意力机制采用方向感知和位置判断的方式准确定位和识别感兴趣对象。多项标准数据集的实验结果表明,该方法能改善超分辨率的视觉重建效果,整体性能优于现有方法。