Ascertaining the influences of auxiliary qubits on the Einstein–Podolsky–Rosen steering and its directions

Einstein–Podolsky–Rosen(EPR) steering is an example of nontrivial quantum nonlocality and characteristic in the non-classical world.The directivity(or asymmetry) is a fascinating trait of EPR steering,and it is different from other quantum nonlocalities.Here,we consider the strategy in which two atoms compose a two-qubit X state,and the two atoms are owned by Alice and Bob,respectively.The atom of Alice suffers from a reservoir,and the atom of Bob couples with a bit flip channel.The influences of auxiliary qubits on EPR steering and its directions are revealed by means of the entropy uncertainty relation.The results indicate that EPR steering declines with growing time t when adding fewer auxiliary qubits.The EPR steering behaves as damped oscillation when introducing more auxiliary qubits in the strong coupling regime.In the weak coupling regime,the EPR steering monotonously decreases as t increases when coupling auxiliary qubits.The increases in auxiliary qubits are responsible for the fact that the steerability from Alice to Bob(or from Bob to Alice) can be more effectively revealed.Notably,the introductions of more auxiliary qubits can change the situation that steerability from Alice to Bob is certain to a situation in which steerability from Bob to Alice is certain.

A new adaptive co-site broadband interference cancellation method with auxiliary channel

With the boom of the communication systems on some independent platforms(such as satellites,space stations,airplanes,and vessels),co-site interference is becoming prominent.The adaptive interference cancellation method has been adopted to solve the co-site interference problem.But the broadband interference cancellation performance of traditional Adaptive Co-site Interference Cancellation System(ACICS)with large delay mismatching and antenna sway is relatively poor.This study put forward an Adaptive Co-site Broadband Interference Cancellation System With Two Auxiliary Channels(ACBICS-2A).The system model was established,and the steady state weights and Interference Cancellation Ratio(ICR)were deduced by solving a time-varying differential equation.The relationship of ICR,system gain,modulation factor,interference signal bandwidth and delay mismatching degree was acquired through an in-depth analysis.Compared with traditional adaptive interference cancellation system,the proposed ACBICS-2A can improve broadband interference cancellation ability remarkably with large delay mismatching and antenna sway for the effect of auxiliary channel.The maximum improved ICR is more than 25 dB.Finally,the theoretical and simulation results were verified by experiments.

A GENERALIZED SCALAR AUXILIARY VARIABLE METHOD FOR THE TIME-DEPENDENT GINZBURG-LANDAU EQUATIONS

This paper develops a generalized scalar auxiliary variable(SAV)method for the time-dependent Ginzburg-Landau equations.The backward Euler method is used for discretizing the temporal derivative of the time-dependent Ginzburg-Landau equations.In this method,the system is decoupled and linearized to avoid solving the non-linear equation at each step.The theoretical analysis proves that the generalized SAV method can preserve the maximum bound principle and energy stability,and this is confirmed by the numerical result,and also shows that the numerical algorithm is stable.

Research on uninterruptable power supply technology for auxiliary winding of electric locomotive while passing the neutral section

Purpose–Auxiliary power system is an indispensable part of the train;the auxiliary systems of both electric locomotives and EMUs mainly are powered by one of the two ways,which are either from auxiliary windings of traction transformers or from DC-link voltage of traction converters.Powered by DC-link voltage of traction converters,the auxiliary systems were maintained of uninterruptable power supply with energy from electric braking.Meanwhile,powered by traction transformers,the auxiliary systems were always out of power while passing the neutral section of power supply grid and control system is powered by battery at this time.Design/methodology/approach–Uninterrupted power supply of auxiliary power system powered by auxiliary winding of traction transformer was studied.Failure reasons why previous solutions cannot be realized are analyzed.An uninterruptable power supply scheme for the auxiliary systems powered by auxiliary windings of traction transformers is proposed in this paper.The validity of the proposed scheme is verified by simulation and experimental results and on-site operation of an upgraded HXD3C type locomotive.This scheme is attractive for upgrading practical locomotives with the auxiliary systems powered by auxiliary windings of traction transformers.Findings–This scheme regenerates braking power supplied to auxiliary windings of traction transformers while a locomotive runs in the neutral section of the power supply grid.Control objectives of uninterrupted power supply technology are proposed,which are no overvoltage,no overcurrent and uninterrupted power supply.Originality/value–The control strategies of the scheme ensure both overvoltage free and inrush current free when a locomotive enters or leaves the neutral section.Furthermore,this scheme is cost low by employing updated control strategy of software and add both the two current sensors and two connection wires of hardware.

2024 National Practical Technical Training on Textile Printing and Dyeing Auxiliary Preparation Succeeds

From July 16th to 19th,2024,2024 National Practical Technical Training on Textile Printing and Dyeing Auxiliary Preparation,organized by China Research Institute of Daily Chemical and National Engineering Research Center for Surfactants,and co-organized by the Dyeing and Finishing Technology Research Institute of Zhejiang Fashion Institute of Technology and the High Fastness Plant-based Dye Research Base of China Textile Engineering Society,was held successfully in Shangyu,Zhejiang Province,with 92 representatives from 64 work units from all over China.

Enhanced Deep Reinforcement Learning Strategy for Energy Management in Plug-in Hybrid Electric Vehicles with Entropy Regularization and Prioritized Experience Replay

Plug-in Hybrid Electric Vehicles(PHEVs)represent an innovative breed of transportation,harnessing diverse power sources for enhanced performance.Energy management strategies(EMSs)that coordinate and control different energy sources is a critical component of PHEV control technology,directly impacting overall vehicle performance.This study proposes an improved deep reinforcement learning(DRL)-based EMSthat optimizes realtime energy allocation and coordinates the operation of multiple power sources.Conventional DRL algorithms struggle to effectively explore all possible state-action combinations within high-dimensional state and action spaces.They often fail to strike an optimal balance between exploration and exploitation,and their assumption of a static environment limits their ability to adapt to changing conditions.Moreover,these algorithms suffer from low sample efficiency.Collectively,these factors contribute to convergence difficulties,low learning efficiency,and instability.To address these challenges,the Deep Deterministic Policy Gradient(DDPG)algorithm is enhanced using entropy regularization and a summation tree-based Prioritized Experience Replay(PER)method,aiming to improve exploration performance and learning efficiency from experience samples.Additionally,the correspondingMarkovDecision Process(MDP)is established.Finally,an EMSbased on the improvedDRLmodel is presented.Comparative simulation experiments are conducted against rule-based,optimization-based,andDRL-based EMSs.The proposed strategy exhibitsminimal deviation fromthe optimal solution obtained by the dynamic programming(DP)strategy that requires global information.In the typical driving scenarios based onWorld Light Vehicle Test Cycle(WLTC)and New European Driving Cycle(NEDC),the proposed method achieved a fuel consumption of 2698.65 g and an Equivalent Fuel Consumption(EFC)of 2696.77 g.Compared to the DP strategy baseline,the proposed method improved the fuel efficiency variances(FEV)by 18.13%,15.1%,and 8.37%over the Deep QNetwork(DQN),Double DRL(DDRL),and original DDPG methods,respectively.The observational outcomes demonstrate that the proposed EMS based on improved DRL framework possesses good real-time performance,stability,and reliability,effectively optimizing vehicle economy and fuel consumption.

Auxiliary Software for Defining the Parameters of the Structural Organization of a Complex System

The developed auxiliary software serves to simplify, standardize and facilitate the software loading of the structural organization of a complex technological system, as well as its further manipulation within the process of solving the considered technological system. Its help can be especially useful in the case of a complex structural organization of a technological system with a large number of different functional elements grouped into several technological subsystems. This paper presents the results of its application for a special complex technological system related to the reference steam block for the combined production of heat and electricity.

Plug-in混合动力汽车能量管理策略优化设计

应用PSAT前向仿真软件及矩阵分割全局优化算法,对并联式Plug-in混合动力汽车(PHEV)在不同电能消耗续驶里程(CDR)下的能量管理策略进行了优化设计研究。结果表明:PHEV电能消耗续驶里程越大,优化控制参数对整车经济性影响越小;小CDR优化控制参数的整车平均经济性能好于大CDR优化控制参数;利用优化设计得到的PHEV能量管理策略可以使整车平均等价油耗降至2.70 L/(100 km),相对于原型车经济性提高了近58%。

用Plug-in实现对PDF文件的信息提取

利用AdobeAcrobat提供的编程接口编写Plug in插件,实现对PDF文件信息的提取。

Plug-in结构应用程序设计

插件 (Plug in)结构使软件可以动态地寻找和加载特定的代码模块 ,因此被越来越广泛地采用。文中分析了Plug in程序应当具有的主要特性 ,介绍了运用标准DLL方式和COM标准两种方式实现Plug in结构的界面的方法 。

Plug-in混合动力汽车动力总成优化设计研究

应用PSAT前向仿真软件,建立了双离合器式并联PHEV仿真模型。在确定了PHEV整车性能约束条件并对动力总成主要部件进行了成本分析之后,对不同全电力续驶里程和动力电池类型的PHEV动力总成进行了优化。结果表明:动力电池设计容量对整车成本影响最大,而它主要取决于所要求的全电力续驶里程;随着所要求的全电力续驶里程的增大,所需电机最大输出功率升高,而发动机最大输出功率则降低。

Plug-in混合动力汽车动力系统参数匹配

以并联型Plug-in混合动力电动汽车(PHEV)为研究对象,提出了其动力驱动系统参数匹配的原则和实施方法.采用该方法对某型轿车动力总成参数进行了匹配,使用电动汽车仿真软件ADVISOR对整车性能进行仿真计算.仿真结果表明:Plug-in混合动力轿车动力性与原车相当,经济性与原车相比有很大提高,达到预期开发目标.

Plug-in混合动力汽车辅助功率单元控制研究

针对一种由汽油发动机、永磁同步发电机及不可控整流器构成的插电式混合动力汽车(Plug-in HybridElectric Vehicle,简称PHEV)辅助功率单元结构,在插电式串联混合动力汽车构型分析和选型基础上,设计了基于静态数据的前馈控制支路和PID反馈控制构成的辅助功率单元(APU)输出电流闭环控制器结构。实验结果表明,与传统PID控制相比,应用前馈+PID控制方法,辅助功率单元具有较好的输出电流动态特性,同时在一定程度上保证了发动机转速的稳定。

基于plug-in的网络漏洞扫描系统

计算机网络最大的优势在于资源共享和通信,与此同时也必然会存在各种各样的安全漏洞,及时发现并填补这些漏洞是当前网络安全工作的一个重要任务。本文分析了漏洞扫描的关键技术,提出基于Plug-in的网络漏洞扫描系统的设计和实现。

利用Plug-in技术扩展应用程序的Web应用

讨论Plug-in的基本原理和开发方法,实现了一个H.263解码器的插件,并研究了如何把应用程序通过Plug-in技术嵌入浏览器中。

利用Plug-in技术增强浏览器/服务器功能

通过对客户机／服务器和浏览器／服务器两种不同体系结构的比较，指出了浏览器／服务器体系结构的优点和不足。提出了一种利用ＮｅｔｓｃａｐｅＰｌｕｇ－ｉｎ技术增强浏览器功能的方法，利用此方法可以在浏览器／服务器体系结构下实现复杂的应用。指出了Ｐｌｕｇ－ｉｎ优于ＪＡＶＡＡｐｐｌｅｔ的特色。介绍Ｐｌｕｇ－ｉｎ和Ｐｌｕｇ－ｉｎＡＰＩ的基本情况，并使用一个实例说明如何扩充浏览器端的功能。

Java Plug-in在IE中的应用

Ｓｕｎ公司最新发布的ＪａｖａＰｌｕｇ－ｉｎ软件使得浏览器能直接用Ｓｕｎ公司自己的ＪＲＥ来运行Ｗｅｂ页面上的Ｊａｖａａｐｐｌｅｔｓ或ＪａｖａＢｅａｎｓ组件。此文介绍了ＪａｖａＰｌｕｇ－ｉｎ的主要功能，讲述了ＪａｖａＰｌｕｇ－ｉｎ的原理，并详细地论述了如何在ＩＥ浏览器中实现ＪａｖａＰｌｕｇ－ｉｎ。

基于PMP的Plug-in柴电混合动力汽车油耗与排放最优控制策略

综合考虑电池和SCR催化器在低温环境下的工作特性,针对低温下温度对Plug-in柴电混合动力汽车性能的影响,提出最短时间控制和燃油消耗最少问题。以SCR起燃温度和电池正常工作温度时间最短为优化目标,以电池温度、电池荷电状态(State of Charge,SOC)和SCR催化器温度为状态变量,利用极小值原理求得最优控制策略。通过仿真对比规则控制策略,分析了在不同低温条件下基于庞特里亚金极小值原理(Pontryagin’s Minimum Principle,PMP)的最短时间和最少油耗与排放优化控制策略对整车油耗和排放的影响。

Combining sum-difference and auxiliary beams for adaptive monopulse in jamming

Only in the presence of sidelobe jamming （SLJ）, can the conventional adaptive monopulse technique null the jamming effectively and maintain the monopulse angle estimation accuracy simultaneously. While mainlobe jamming （MLJ） exists, the mainlobe of adaptive pattern will subject to serious distortion, which results in a failure of detecting and tracking targets by monopulse technique. Therefore, a monopulse angle estimation algorithm based on combining sum-difference beam and auxiliary beam is presented. This algorithm utilizes both high gain difference beams and high gain auxiliary beams for cancelling the mainlobe jammer and multiple sidelobe jammers （SLJs） while keeping an adap- tive monopulse ratio. Theoretical analysis and simulation results indicate that the serious invalidation of monopulse technique in MLJ and SLJs scenarios is resolved well, which improves the monopulse angle accuracy greatly. Furthermore, the proposed algorithm is of simple implementation and low computational complexity.

Plug-in混合动力电动汽车的研究分析

外接充电式混合动力电动汽车(Plug-in HEV)是在传统混合动力汽车基础上派生出来的新型节能环保车,可以大大改善汽车有害气体和温室气体排放,提高汽车燃油经济性。文章介绍了Plug-in HEV的动力系统结构,阐述了Plug-in HEV的工作模式及控制策略,指出Plug-in HEV除具有纯电动汽车的全部优点外,还可利用晚间低谷电对电池充电等优点,但同时又受到充电基础设施和成本等因素制约,是一种最有发展前景的混合动力电动汽车。