Time Intervals of the Energy Emission in Quantum Systems Obtained from the Conservation Rule of the Electron Momentum

The paper presents a non-probabilistic approach to the time interval associated with the energy emission produced by the electron transition in a quantum system. The calculations were performed for the hydrogen atom and the electron particle in a one-dimensional potential box. In both cases, the rule of conservation of the electron momentum has been applied. The results, limited to the time intervals of transitions between two neighbouring quantum energy levels, occur to be much similar to those obtained earlier with the aid of the Joule-Lenz energy emission theory.

Cooperative Adaptive Cruise Control Platoon Fleet Formation Model Considering Efficiency and Stability

In the existing formation model,vehicles in the same lane or adjacent lane are regarded as the structure,and the driving behavior of vehicles is studied from the perspectives of safety,speed consistency,and stability,and the speed control model is proposed from the perspective of vehicles themselves,to obtain a stable fleet with the same distance and speed.However,in this process,the initial condition of the vehicle,the traffic flow environment,and the efficiency of the fleet formation are less considered.Therefore,based on summarizing the existing fleet building model,this paper puts forward the rapid construction model and algorithm of a cooperative adaptive cruise control platoon fleet.One of the important goals of forming a team is to enter the team with the smoothest trajectory in the shortest time.Therefore,this chapter studies the trajectory optimization of the vehicle formation process from the perspective of vehicle dynamics.

Stability and stabilization of discrete T-S fuzzy time-delay system based on maximal overlapped-rules group

The problems of stability and stabilization for the discrete Takagi-Sugeno（T-S） fuzzy time-delay system are investigated.By constructing a discrete piecewise Lyapunov-Krasovskii function（PLKF） in each maximal overlapped-rules group（MORG）,a new sufficient stability condition for the open-loop discrete T-S fuzzy time-delay system is proposed and proved.Then the systematic design of the fuzzy controller is investigated via the parallel distributed compensation control scheme,and a new stabilization condition for the closed-loop discrete T-S fuzzy time-delay system is proposed.The above two sufficient conditions only require finding common matrices in each MORG.Compared with the common Lyapunov-Krasovskii function（CLKF） approach and the fuzzy Lyapunov-Krasovskii function（FLKF） approach,these proposed sufficient conditions can not only overcome the defect of finding common matrices in the whole feasible region but also largely reduce the number of linear matrix inequalities to be solved.Finally,simulation examples show that the proposed PLKF approach is effective.

Differential quadrature time element method for structural dynamics

An accurate and efficient differential quadrature time element method （DQTEM） is proposed for solving ordi- nary differential equations （ODEs）, the numerical dissipation and dispersion of DQTEM is much smaller than that of the direct integration method of single/multi steps. Two methods of imposing initial conditions are given, which avoids the tediousness when derivative initial conditions are imposed, and the numerical comparisons indicate that the first method, in which the analog equations of initial displacements and velocities are used to directly replace the differential quadra- ture （DQ） analog equations of ODEs at the first and the last sampling points, respectively, is much more accurate than the second method, in which the DQ analog equations of initial conditions are used to directly replace the DQ analog equations of ODEs at the first two sampling points. On the contrary to the conventional step-by-step direct integration schemes, the solutions at all sampling points can be obtained simultaneously by DQTEM, and generally, one differential quadrature time element may be enough for the whole time domain. Extensive numerical comparisons validate the effi- ciency and accuracy of the proposed method.

A Scheme for Mining State Association Rules of Process Object Based on Big Data

This paper devises a scheme which can discover the state association rules of process object. The scheme aims to dig the hidden close relationships of different links in process object. We adopt a method based on difference and extremum to compute the timing. Clustering is used to classifying the adjusted data, and the next is associating the clusters. Based on the rules of clusters, we produce the rules of links. Association degrees between each two links can be determined. It is easy to get association chains according to the degree. The state association rules that can be obtained in accordance with association rules are the final results. Some industry guidance can be directly summarized from the state association rules, and we can apply the guidance to improve the efficiency of production and operational in allied industries.

Short-term power generation scheduling rules for cascade hydropower stations based on hybrid algorithm

Power generation dispatching is a large complex system problem with multi-dimensional and nonlinear characteristics. A mathematical model was established based on the principle of reservoir operation. A large quantity of optimal scheduling processes were obtained by calculating the daily runoff process within three typical years, and a large number of simulated daily runoff processes were obtained using the progressive optimality algorithm （POA） in combination with the genetic algorithm （GA）. After analyzing the optimal scheduling processes, the corresponding scheduling rules were determined, and the practical formulas were obtained. These rules can make full use of the rolling runoff forecast and carry out the rolling scheduling. Compared with the optimized results, the maximum relative difference of the annual power generation obtained by the scheduling rules is no more than 1%. The effectiveness and practical applicability of the scheduling rules are demonstrated by a case study. This study provides a new perspective for formulating the rules of power generation dispatching.

A Study on the Early Warning Time of Strong Earthquakes in Taiwan

The paper collects the records by the Fujian Digital Seismic Network of 40 shallow earthquakes in Taiwan with M_S≥5.0 from 1999 to 2013,analyzes the seismic phase(Pn,Sn phase)characteristics and travel-time rules,determines travel-time models and develops a seismic phase travel-time equation based on the two-step fitting algorithm.With the deduction of processing time and network delay time,this method can provide an accurate estimation of early warning time of Taiwan earthquakes for the Fujian region,and has been officially employed in the earthquake early warning system of Fujian Province.

罗马法复兴与近代欧洲法治文明

罗马法复兴运动是欧洲法律史上的重大历史事件,它反映了欧洲法治文明近代化的过程。这一运动起于中世纪意大利的各自治城市,前后有帕维亚、拉文纳、博洛尼亚等地的法学家的持续推动和助力。而罗马法研究之所以能在欧洲蔚然成风,是因为罗马法是当时的政教斗争中的有力武器,亦是文艺复兴之人文主义传播的重要手段之一。作为欧洲共同法的罗马法,一举奠定了中世纪欧洲多元一体的科学法律秩序,其后期兴起的法律民族主义思想也促进了欧洲民族法的编撰和研究,此外,罗马法中蕴含的自然法观、权利观、正义观、理性观等经进一步发展,成为了近代欧洲法治的核心内容。

武钢7.63 m焦炉上升管荒煤气温度变化规律研究

为研究武钢7.63 m焦炉上升管余热利用工程实施的可行性,对2#炭化室上升管根部和桥管处荒煤气温度进行连续在线检测。分析发现:上升管根部荒煤气温度在整个结焦过程呈现类似Z字型周期变化规律,最高温度发生在推焦前烧石墨阶段,达1300℃~1400℃,整个结焦周期的平均温度约为771℃;桥管处荒煤气温度仍保持较完整的周期性规律;7.63 m焦炉单孔炭化室荒煤气产量为1156.42 m^(3)/h,一个结焦周期内单孔炭化室荒煤气可利用理论热量约13.76 GJ,工程理论吨焦产汽量(1.6 MPa低压饱和蒸汽)为108 kg。

基于离线电子对抗历史数据的信息特征关联分析

针对复杂电磁环境电子对抗信号分析要求高、情报处理数据量大、多维信息分析提取困难等问题,基于电子对抗情报系统海量历史侦察数据特点和已有电磁目标知识库,研究跨行业数据挖掘标准流程(CRISP-DM)大数据处理方法,设计了一种离线电子对抗电磁信号历史数据处理分析平台。通过探索挖掘电磁目标参数、目标时间规律、多目标关联规则等情报分析的技术路径,实现了聚类、时间序列和关联规则挖掘等分析方法在电子对抗电磁信号历史数据处理中的应用;获取了未知电子目标聚类、目标数量规模预测和多目标关联共现规律等信息特征。结果表明,电磁目标参数特征和关联规则明显,目标时间特性拟合相关度达0.825,为后续进一步研究及实践应用提供了参考。

基于“规则+优化”的电气化铁路站点实时能量管控策略

构建“网-源-储-车”协同供电架构以实现电气化铁路的实时、可靠、高效能量管控,对推进“双碳”目标的实现具有重要意义。然而,既有规则管控策略主要针对“网-储-车”架构、管控,效果有限;优化管控策略往往关注于经济性等单一指标,可靠性较低。为此,该文首先补充了适用于“网-源-储-车”架构的规则管控策略,并构建了计及经济性与电压不平衡度的多目标管控优化模型;然后,提出一种基于“规则+优化”的电气化铁路站点实时能量管控策略,采用优化管控为主、规则管控为辅的形式,以实时管控时间阈值为导向,有序切换输出指令,在保证站点能量管控的可靠性与实时性的同时,实现整体运行效果的优化提升;最后,基于刘家沟牵引变电所实测数据对所提策略进行验证,结果表明,该文所提策略在实现新能源就地消纳与再生制动能量高效利用的同时,可改善牵引网电压水平与公共电网电能质量。

结合作答时间的自适应测验组卷方法

随着信息技术发展和计算机化自适应测验应用的普及,作答时间数据作为测验过程信息越来越容易获得,在心理测量领域的应用越来越广泛。将作答时间及模型应用于自动化组卷,对提高测验效率、被试能力估计精度乃至教育公平都有非常重要的意义。本文通过对自适应测验中组卷方法及研究结果进行系统梳理,全面展示结合作答时间数据的组卷方法,探究该类组卷方法对测验总时间约束、测验效率、题库安全、被试作答时间差异等问题的解决方案。对结合作答时间数据的组卷方法进行拓展,以及将研究成果应用于我国的大规模测评项目,都是未来需要探索的重要研究方向。

应用Unity Real Time软件建立血细胞分析个性化质控规则的探讨

目的对血细胞分析项目进行六西格玛性能评价,选择个性化质控规则,提出改进方向,为提高检测质量奠定基础。方法根据血细胞分析项目的不精密度[变异系数(CV)]、不正确度[偏移(Bias)]和允许总误差(TEa),应用Unity Real Time质控软件(简称URT)Westgard Advisor功能,得到分析项目西格玛(σ)值、σ度量图和个性化规则等信息。对σ值未能达到6的项目,通过质量目标指数(QGI)查找导致方法性能不佳的主要原因,并根据分析批长度Westgard西格玛规则流程图,确定分析项目分析批长度。结果不同血细胞分析项目性能特征和建议质控规则并不相同,各项目从单独1个规则到多规则均选择了个性化质控规则。对σ值未达到6的分析项目,根据QGI提示,除血红蛋白项目需优先改进正确度外,其他项目均需优先改进精密度;实验室在用检测系统经综合评估后,确定分析批长度为200份,与实际系统每日检测样本量一致。结论应用URT对血细胞分析等定量分析项目进行六西格玛性能评价,可根据性能特征选择个性化质控规则,并根据QGI进行持续改进;根据分析批长度Westgard西格玛规则流程图确定合适的分析批长度,可确保检测质量。

家庭结构对住宅空调使用时间的影响及关联性分析

人员行为对建筑能耗存在较大影响,其中家庭结构是影响人行为的重要因素之一。结合问卷调研与实测方法,选取重庆地区不同人数、代数以及年龄等家庭结构信息存在差异的12户家庭,采集夏季空调开启和关闭时刻等运行参数,利用关联规则算法对家庭结构参数与空调行为间的关联规则进行分析,结果表明,家庭结构参数中的人数、代数以及成员最小年龄与空调使用时间(使用时长与开启时间段)存在明显相关性;代数为不同功能房间空调使用时长的最主要特征,代数越大,其空调使用时长越高,3代家庭在不同功能房间的空调使用时长均大于其他代数的家庭;最小年龄为不同功能房间的空调使用时长的次要特征,在同一代数的家庭中,最小年龄为青少年或学龄前儿童的家庭的空调使用时长会高于最小年龄为青年或中年的家庭。探明了家庭结构特征中与空调使用时间相关的主要参数,为预测空调能耗,助力建筑节能减排提供了基础资料。

基于Petri网和改进遗传算法的多资源调度问题

针对混流装配线工序加工资源需求多样、工艺复杂、装配工期长等问题,采用Petri网和改进遗传算法对该问题进行优化求解。建立混流装配线赋时库所Petri网(timed place Petri net, TPPN)调度模型,基于模型激发序列,采用基于工序的编码方式进行染色体编码;采用精英保留策略选择优异个体,改进遗传算法的交叉、变异操作,用改进后的遗传算法求解混流装配线调度问题。通过对比案例及实例数据计算结果验证了方案的有效性。

数字贸易对消费者行为的影响研究

本文选取2022年抽样的淘宝数据进行分析与挖掘,并基于K-means算法对买家进行聚类分析,初步筛选出疑似刷单行为的买家和卖家。在剔除这些用户后,又利用回归分析法分析卖家获得评价、信用评价体系、卖家店铺等级对销量的影响;采用LSTM算法对销量数据的时间序列进行预测;通过Apriori关联规则算法找到买家与卖家和商品之间的关联。其中,在卖家获得评价对销量的影响中,建立奖励函数来描述好评和差评的影响,结果显示奖励函数与销量呈正相关关系。在信用评价体系对销量的影响中,服务和发货对销量的影响较大。卖家店铺等级,则无明显关系。预测的销量数据虽没有较好的结果,但给出了合理的解释。关联结果显示,买家与卖家和商品之间有一定的联系,本研究仅供参考。

实时法治体检:街道层级法治评估体系的功能及其建构

全面推进依法治国,基础在基层,工作重点在基层。街道办事处作为区县政府的派出机关,在基层治理中扮演着重要角色,需要及时建立起完善的法治评估体系,确保政府法治工作在各个层级都能够得到有效推进。然而,比较各地推出的基层依法治理评估体系,其内容设计“承上的多”“启下的少”,未能充分还原基层政府贴近人民、直接服务人民的工作特点;配套的测评方案也动辄以年为计,削弱了法治评估在实施过程中随时了解效果,看到成绩和问题的能力。针对上述困境,深圳市近年来发挥数字政府建设的领先优势,突破既有的考核、评估模式,组织开展了实时动态的“法治体检”,通过精准、科学的大数据摸排确定人民群众普遍关心的业务节点,探索形成了专门的、从街道工作中生长起来的指标体系。实时法治体检具有随时预警的功能定位,有助于加强街道之间的横向比较和行政违法的自查自纠,真正提高人民群众的获得感和满意度。

中药材经磷化铝熏蒸后残留磷化氢的降解规律研究

目的:研究经磷化铝熏蒸后中药材中磷化氢残留水平的变化规律。方法:选取党参、黄芪、当归等易生虫的十种中药材经过模拟实验建立阳性样本,通过建立磷化铝残留的测定方法,对制备样本进行磷化铝残留水平监测。结果:不同品种的中药材样品经磷化铝熏蒸后残留水平有明显差异,对于含有色素的款冬花药材,外观颜色发生明显变化。同时发现,阳性样品在自然通风条件下,磷化氢残留降解速度较快,在48h内降幅可达约50%以上,8天后残留量明显减少,12天后部分样品残留量低于检出限。结论:不同基质的中药材样品经磷化铝熏蒸后,残留水平有明显差异,且磷化氢残留随贮存时间延长降解速度加快。

近现代新安医家治疗郁证用药规律分析

目的:通过对近现代新安医家的病案及处方进行收集整理及数据分析,探讨近现代新安医家治疗郁证用药特色,为临床治疗郁证进一步提供新思路。方法:通过检索,收集整理近现代新安医家有关治疗郁证的病案及处方,应用中医传承辅助平台V2.5(TCMISS V2.5)进行频数统计、关联规则及聚类分析。结果:研究共纳入154个中医方剂,涉及259味中药,排列前10为白芍、酸枣仁、淮小麦、远志、柴胡、丹参、竹茹、陈皮、绿萼梅、黄连;药性多为温、寒、平,药味以苦、辛、甘为主,多归肝、脾胃、心经。发现37条高度相关规则,频度靠前的有酸枣仁-远志、酸枣仁-淮小麦、远志-淮小麦等;聚类分析得出核心药物组合26个,新处方9首。结论:发现近现代新安医家用药配伍严谨,善于治疗郁证伴有不寐、心烦、纳差、胃脘不舒等兼症,能够为郁证的临床辨证提供一定参考依据。