Improved particle swarm optimization algorithm for multi-reservoir system operation

In this paper, a hybrid improved particle swarm optimization （IPSO） algorithm is proposed for the optimization of hydroelectric power scheduling in multi-reservoir systems. The conventional particle swarm optimization （PSO） algorithm is improved in two ways： （1） The linearly decreasing inertia weight coefficient （LDIWC） is replaced by a self-adaptive exponential inertia weight coefficient （SEIWC）, which could make the PSO algorithm more balanceable and more effective in both global and local searches. （2） The crossover and mutation idea inspired by the genetic algorithm （GA） is imported into the particle updating method to enhance the diversity of populations. The potential ability of IPSO in nonlinear numerical function optimization was first tested with three classical benchmark functions. Then, a long-term multi-reservoir system operation model based on IPSO was designed and a case study was carried out in the Minjiang Basin in China, where there is a power system consisting of 26 hydroelectric power plants. The scheduling results of the IPSO algorithm were found to outperform PSO and to be comparable with the results of the dynamic programming successive approximation （DPSA） algorithm.

An improved self-adaptive membrane computing optimization algorithm and its applications in residue hydrogenating model parameter estimation

In order to solve the non-linear and high-dimensional optimization problems more effectively, an improved self-adaptive membrane computing(ISMC) optimization algorithm was proposed. The proposed ISMC algorithm applied improved self-adaptive crossover and mutation formulae that can provide appropriate crossover operator and mutation operator based on different functions of the objects and the number of iterations. The performance of ISMC was tested by the benchmark functions. The simulation results for residue hydrogenating kinetics model parameter estimation show that the proposed method is superior to the traditional intelligent algorithms in terms of convergence accuracy and stability in solving the complex parameter optimization problems.

Multi-objective optimization of p-xylene oxidation process using an improved self-adaptive differential evolution algorithm

The rise in the use of global polyester fiber contributed to strong demand of the Terephthalic acid （TPA）. The liquid-phase catalytic oxidation of p-xylene （PX） to TPA is regarded as a critical and efficient chemical process in industry [ 1 ]. PX oxidation reaction involves many complex side reactions, among which acetic acid combustion and PX combustion are the most important. As the target product of this oxidation process, the quality and yield of TPA are of great concern. However, the improvement of the qualified product yield can bring about the high energy consumption, which means that the economic objectives of this process cannot be achieved simulta- neously because the two objectives are in conflict with each other. In this paper, an improved self-adaptive multi-objective differential evolution algorithm was proposed to handle the multi-objective optimization prob- lems. The immune concept is introduced to the self-adaptive multi-objective differential evolution algorithm （SADE） to strengthen the local search ability and optimization accuracy. The proposed algorithm is successfully tested on several benchmark test problems, and the performance measures such as convergence and divergence metrics are calculated. Subsequently, the multi-objective optimization of an industrial PX oxidation process is carried out using the proposed immune self-adaptive multi-objective differential evolution algorithm （ISADE）. Optimization results indicate that application oflSADE can greatly improve the yield of TPA with low combustion loss without degenerating TA quality.

Autonomous process collaboration framework for C4ISR system interoperation

Interoperability plays an important role in the joint command, control, communication, computer, intelligence, surveillance, reconnaissance(C4 ISR) operations. Coordinating and integrating operational processes to fulfill a common mission are challenged by the ever-changing battlefield and hence requires a cross-organizational process management that produces an autonomous, flexible and adaptable architecture for collaborative process evolution. The traditional business process collaboration pattern is based on the predefined "public-view" perspective and cannot meet the requirement of the joint task operations. This paper proposes a flexible visibility control mechanism and a dynamic collaboration framework for modeling and generating collaborative processes. The mechanism allows collaborators to define a set of visibility rules to generate different views of the private processes for different collaborations, which gives a great flexibility for the collaboration initiator to decide on an appropriate collaboration pattern. The framework supports collaborators to dynamically and recursively add a new process or even a new organization to an existing collaboration. Moreover, a formal representation of the processes and a set of generation algorithms are provided to consolidate the proposed theory.

A NEW SELF-ADAPTIVE ITERATIVE METHOD FOR GENERAL MIXED QUASI VARIATIONAL INEQUALITIES

The general mixed quasi variational inequality containing a nonlinear term φ is a useful and an important generalization of variational inequalities. The projection method can not be applied to solve this problem due to the presence of nonlinear term. It is well known that the variational inequalities involving the nonlinear term φ are equivalent to the fixed point problems and resolvent equations. In this article, the authors use these alternative equivalent formulations to suggest and analyze a new self-adaptive iterative method for solving general mixed quasi variational inequalities. Global convergence of the new method is proved. An example is given to illustrate the efficiency of the proposed method.

OPERATIONAL MODAL ANALYSIS SCHEMES USING CORRELATION TECHNIQUE

For some large-scale engineering structures in operating conditions, modal param- eters estimation must base itself on response-only data. This problem has received a considerable amount of attention in the past few years. It is well known that the cross-correlation function between the measured responses is a sum of complex exponential functions of the same form as the impulse response function of the original system. So this paper presents a time-domain operating modal identifcation global scheme and a frequency-domain scheme from output-only by cou- pling the cross-correlation function with conventional modal parameter estimation. The outlined techniques are applied to an airplane model to estimate modal parameters from response-only data.

基于Cross-efficiency DEA的中间站运营绩效分析

根据传统DEA存在的局限性,在有关文献研究的基础上,提出了基于Cross-efficiency DEA模型的中间站绩效分析方法,在调查收集影响中间站运营绩效基础数据的基础上,利用灰色关联分析法提取了评价指标体系,采用Cross-efficiency DEA模型对中间站运营绩效进行了分析、评价和测算,并运用MATLAB软件编程进行了求解,获得了各中间站源配置效率的排序,在对非DEA有效的决策单元进行投影分析的基础上,识别出影响决策单元运营绩效的关键因素,为改进非DEA有效决策单元提供了一个可行方案。最后利用实例验证了该模型的有效性、科学性,分析结果表明:Cross-efficiency DEA模型基本能够反映决策单元运行效率的现实状况。

关于Cross-序列和Steffenen序列(Ⅱ)

继文《关于 Cross-序列和 Steffenen序列 ( )》,给出了该文中定理的某些应用 .对判别 cross-序列和

当中国俄罗斯族成为俄罗斯华人——基于跨国经营群体主体性的分析

在跨国实践中,中国俄罗斯族商人能够充分发挥群体比较优势,如中俄混血的亲缘特点、中俄双语条件及跨文化背景等,通过扮演经济生活中的“中间人”、日常交际与文化交流中的“媒介者”以及公共生活中的“调和员”等方式,能动地建构起适合自己的行动策略和生存发展空间。他们的跨国建构及其行动策略是外部发展环境与群体主体性等多种因素综合作用的结果,并通过代际传承不断保持与加强。对中国俄罗斯族商人的调查,不仅可为跨国主义背景下研究华人新移民群体的主体性建构问题提供参考案例,也可为推进中俄两国之间的经贸往来与文化交流发挥重要且积极的作用。

基于高精准定位技术的露天矿铲装设备安全管控

受露天矿特殊开采工艺的影响,铲装设备极易在作业过程中发生安全事故。针对露天矿企业对铲装设备管理存在的巡检盲区大、响应不及时等问题,基于高精准定位技术提出了铲装设备高边坡、交叉作业管控方案。铲装设备高边坡作业管控方案结合地形数据,利用定位技术,通过现场测量与作业调度、实时监控与报警、现场处理与记录核查,实时监测铲装设备作业高度并判断是否超出安全范围。铲装设备交叉作业管控方案则通过作业前的作业间距确认、调度计划审核、作业间距巡查等实时监测作业间距。提出的管控方案实现了铲装设备作业间距和挖掘高度的安全精细化管理,有效降低了露天矿开采事故的发生风险,保障了作业正常进行,提升了作业效率。

采用交叉耦合误差放大器的低压高增益LDO设计

设计了一种低输入电压、高增益的LDO,其误差放大器采用交叉耦合结构来增大环路增益,并通过密勒电容和调零电阻的串联引入1个左半平面的零点,确保该电路的频率响应环路稳定性。采用0.35μm标准CMOS工艺进行仿真,输入电压为1.5 V、负载最大电流为100 mA。仿真结果表明,构建的LDO可以将输出电压稳定在1.2 V,环路的低频增益在轻载的情况下高达122 dB,芯片面积为0.196 mm2,且相位裕度在重载情况下亦能做到大于58°,静态电流为21.2μA。由于交叉耦合误差放大器的使用,电路的精度得到很大提高,负载调整率可以达到0.007%,所设计的LDO有较高的应用价值。

不中断交通下运营高速公路跨线天桥拆除方案研究

旨在探讨不中断交通下运营高速公路跨线天桥拆除技术,以及如何制定合理的拆除方案、选择合适的切割设备、起重设备和采取有效的安全防护措施,通过实际工程案例的实施,为不中断交通下运营高速公路跨线天桥的安全拆除提供参考和依据。

支持四网融合的市域铁路列控系统关键问题研究

在深入分析市域铁路特性的基础上,对列控制式选择、CTCS列控系统的适用性、车地兼容方式以及车载设备兼容方式等关键问题进行研究。研究结果表明:鉴于CTCS系统在网络级指挥、标准规范完整性、互联互通能力等方面的显著优势,推荐市域铁路主要采用CTCS制式。为实现四网融合及跨制式运营,未来应研究开发兼容CTCS和CBTC的列控系统。短期内,可以在高速铁路CTCS2+ATO列控系统的基础上进行技术升级,构建适应市域铁路需求的列控系统。同时,建议开发兼容型车载设备,通过车载设备兼容地面设备实现跨线运行,提倡开发融合CTCS与CBTC制式的一体化车载设备,以简化系统结构和降低设备成本,为市域铁路智能化发展提供有力支撑,也对提升铁路运输安全水平、增强运输效率具有重要意义。

USING CROSS-CORRELATION THEORY TO EXTRACT MODAL PARAMETERS IN FREQUENCY- DOMAIN

Conventional modal parameter identifications are usually based on frequencyresponse functions, which require measurements of both the input force and the resulting response.However, in many cases, only response data are available while the actual excitations (such aswind/wave load) are not measurable. Modal parameters estimation must base itself on response-onlydata. Over the past years, many time-domain modal parameter identification techniques fromoutput-only are proposed. A poly-reference frequency-domain modal identification scheme onresponse-only is presented. It is based on coupling the cross-correlation theory with conventionalfrequency-domain modal parameter extraction. An experiment using an airplane model is performed toverify the proposed method.

异构平台要素协同理论方法研究

要素协同是协同作战发展的必经之路,杀伤链的动态重构是其典型特征.本文针对平台协同难以满足复杂作战任务需求的问题,提出了异构平台要素协同的解决思路和理论方法.首先分析了要素协同关系复杂性、协同能力不确定性两个难点问题;其次基于反馈机制的可重构架构对复杂作战网络进行建模,提出了杀伤链算子的要素动态重构、协同序参量的效能定量评估方法;最后基于仿真场景实现杀伤链的动态构建与重构,可指导要素协同的算法设计与工程实践.

深化职业教育产教融合的关键是实现跨界组织实体化运作

深化产教融合是职业教育实现高质量发展的核心举措。改革开放以来,我国职业教育产教融合在政策牵引和实践演绎的相互作用下,展现了由松散到紧密、由浅层次到深层次的演变历程。但长期以来,产教“融而不合”、校企“跨而不实”的现实困境始终难以破题。伴随市域产教联合体、行业产教融合共同体等新型产教跨界组织的产生与发展,以制度突破为基本前提,推进跨界组织的实体化运作成为深化职业教育产教融合的关键。而实现这一点,需要跨界组织具有符合实际的组织结构、发挥实效的主导权力、约束有力的职责分工、稳定的利益共享机制、有效的激励保障政策,也需要多方主体协同有效的共建共治。

跨线条件下城市轨道交通列车交路计划优化方法

跨线运营是城市轨道交通重点发展方向。针对跨线条件下列车交路计划编制问题,通过构造乘客出行时空网络图准确刻画复杂交路下的客流行为,建立以最小化列车走行公里与乘客出行时间成本为目标的混合整数规划模型。模型以列车交路方案、开行比例与频率为决策变量,并针对跨线交路与本线交路的行车冲突,考虑非等间隔发车,确定列车发车时刻。设计基于交路及开行频率搜索与运行间隔协调的定制分解算法。案例结果表明,列车跨线方向与乘客换乘主方向一致时,跨线交路可同时提升企业运营与乘客出行效益。换乘出行导致的断面客流量差异是跨线交路开行方案设置的主要依据。研究结论可为运营企业制定列车交路计划提供依据,有助于提高网络运输效率。

区域轨道交通跨线站配线方案研究

“四网融合”发展背景下,区域轨道交通网络化运营成为重要发展趋势,而跨线站则是实现不同轨道交通线路互联互通的关键节点,因此有必要对跨线站设计进行探究。从优化车站运输组织出发,对跨线站配线方案进行研究,为实际配线布设提供参考。首先,以跨线运营模式为研究对象,根据跨线前后信号制式异同,将跨线分为同信号制式跨线和跨信号制式跨线,分析两种跨线模式列车作业种类及流程,并研究两种模式下行车组织、承载客流形式、应急管理等因素对于车站配线设置的相关需求。之后,结合配线需求,针对同信号制式和跨信号制式跨线站,分别提出了配线布置原则。最后,基于布置原则,在进一步分析两种跨线站列车作业特征基础上,研究并提出适用于不同车站构型、不同客流特征的典型配线设置方法,并进一步考虑运输组织适应性、建筑规模、工程量等因素提出适应不同实际运营场景的建议方案。通过研究,对于同信号制式跨线站,建议以在发车端设单渡线、交叉渡线等配线为主;对于跨信号制式跨线站,结合当前技术条件建议增设到发线,并根据实际需求设置折返线等其他配线。

广东省二、三级医疗机构延续护理部门设立及运作现况调查

目的:了解广东省二、三级医疗机构延续护理部门的设立及运作情况,为医疗机构建设延续护理部门、开展延续护理提供参考和借鉴。方法:采用便利抽样法于2023年5月4日—19日选取广东省110所二、三级医疗机构的护理管理人员进行调查,调查其所在医疗机构延续护理部门的建立情况、运作情况、阻滞因素及相关建议。结果:110所医疗机构中有35所(31.82%)设立了延续护理部门,58所(52.73%)拟计划开展延续护理服务,17所(15.45%)暂无设立延续护理部门及开展延续护理的计划。已开展延续护理的35所医疗机构中,2010年前设立延续护理部门的有3所(8.57%),2010—2018年有9所(25.71%),2019年至今有23所(65.71%)。35所医疗机构延续护理运作情况良好,但在医疗收费、医院-社区联动及延续护理质量指标设置方面需进一步加强和完善。51所(46.36%)医疗机构认为设立延续护理部门开展延续护理服务无障碍,59所(53.64%)认为存在障碍,障碍因素主要包括人力资源短缺(79.66%)、经济效益受限(76.27%)、实施场地缺乏(54.24%)、不知如何开展(32.20%)、院领导不支持(23.73%)等。结论:因缺乏统一、规范的标准及指南,广东省二、三级医疗机构延续护理部门的设立及运作情况参差不齐且存在多方面争议、困惑及不足。建议从“相关政策制度、部门组织架构、信息共享与协调机制、服务收费与支付机制、延续护理质量评价指标、工作人员绩效”等方面完善延续护理部门的设立及运作,从而推进延续护理的发展,助力实施健康中国战略。

跨境电商自建独立站的优劣势分析

过去20多年,我国跨境电商行业经历了从无到有、从弱到强的发展历程。跨境电商行业在我国外贸领域具有举足轻重的地位,已成为推动外贸增长的重要引擎,其发展状况充分体现了我国对外贸易的创新与活力。当前,我国跨境电商产业正在加速外贸创新发展进程,通过优化产业结构、拓展市场空间、提升运营效率等方式,不断推动我国外贸行业的整体发展。但由于第三方平台运营成本增加、头部效应越来越明显,且常出现罚款或封号等运营问题,因此独立站逐渐成为跨境电商发展的新趋势。独立站服务商在本土化运营方面具有优势,能够更好地满足卖家的品牌需求,提高市场竞争力。独立站的建设和运营门槛逐渐降低,成为卖家向品牌化转型的重要手段。