Track Bed Total Route Evaluation for Track Renewals&Asset Management“A Network Rail Perspective”

Over the last 10 years there have been significant developments and improvements in the understanding of railway track bed in the UK and its relationship and impact on track quality,ballast life and maintenance following track renewals.This paper aims to describe the process adopted by Network Rail for track bed investigation and design which offers Network Rail optimum design solutions and value for money from an investigation and construction perspective,balancing design with possession availability to maximise construction output.It also describes innovative investigation and construction techniques that have been developed over the last 5 years maximising the use of rail mounted asset condition data collection systems which run at line speed,allowing targeted investigations and in some case removing the requirements for physical site investigation.It also allows Network Rail to predict sections of track bed which may be affected by line speed increases which would cause the track bed to fail prematurely or,retain its ability to maintain good track geometry post line speed increase.These problems can manifest themselves as stiffness related problems such as critical velocity issues(surface wave velocity,Rayleigh Wave velocity)or,sub-grade erosion resulting in high rates of deterioration in the vertical track geometry.The paper also describes the development and installation process for Enhanced Axial Micropiles to address stiffness related track bed problems whilst leaving the track in-situ a technique which is new to the UK railways.

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.

Effect of Airway Management and Impedance Threshold Device on Circulation, Survival and Neurological Outcome in Adult Out-Of-Hospital Cardiac Arrest

Purpose: This study was designed to study the effect of early use of the King Airway (KA) and impedance threshold device (ITD) in out-of-hospital cardiac arrest on ETCO2 as a surrogate measure of circulation, survival, and cerebral performance category (CPC) scores. After analysis of the first 9 month active period the KA was relegated to rescue airway status. Methods: This was a prospective pre-post study design. Patients >18 years with out-of-hospital cardiac caused arrest were included. Three periods were compared. In the first “non active” period conventional AHA 30/2 compression/ventilation ratio CPR was done with bag mask ventilation (BMV). No ITD was used. After advanced airway placement the compression/ventilation ratio was 10/1. In the second period continuous compressions were done. Primary airway management was a KA with an ITD. After placement of the KA the compression/ventilation ratio was 10/1. In the third period CPR reverted to 30/2 ratio with a two hand seal BMV with ITD. CPR ratio was 10/1 post endotracheal intubation (ETI) or KA. The KA was only recommended for failed BMV and ETI. Results: Survival to hospital discharge was similar in all three study periods. In Period 2 there was a strong trend to CPC scores >2. The study group hypothesized that the KA interfered with cerebral blood flow. For that reason the KA was abandoned as a primary airway. Comparing Period 1 to Period 3 there was a trend to improved survival in the bystander witnessed shockable rhythm (Utstein) subgroup, particularly if a metronome was used. ETCO2 was significantly increased in Period 2 and trended up in Period 3 when compared to Period 1. Advanced airway intervention had a highly significant negative association with survival. Conclusion: The introduction of an ITD into our system did not result in a statistically significant improvement in survival. The study groups were somewhat dissimilar. ETCO2 trended up. When comparing Period 1 to Period 3, the bundle of care was associated with a trend towards increased survival in the Utstein subgroup, particularly with a metronome set at 100. Multiple confounders make a definitive conclusion impossible. Advanced airways showed a significant association with poor survival outcomes. The KA was additionally associated with poor neurologic outcomes.

Delivery Service Management System Using Google Maps for SMEs in Emerging Countries

This paper proposes a Delivery Service Management(DSM)system for Small and Medium Enterprises(SMEs)that own a delivery fleet of pickup trucks to manage Business-to-Business(B2B)delivery services.The proposed DSM system integrates four systems:Delivery Location Positioning(DLP),Delivery Route Planning(DRP),Arrival Time Prediction(ATP),and Communication and Data Sharing(CDS)systems.These systems are used to pinpoint the delivery locations of customers,plan the delivery route of each truck,predict arrival time(with an interval)at each delivery location,and communicate and share information among stakeholders,respectively.The DSM system deploys Google applications,a GPS tracking system,Google Map APIs,ATP algorithms(embedded in Excel Macros),Line,and Telegram as supporting tools.To improve the accuracy of the ATP system,three tech-niques are applied considering driver behaviors.The proposed DSM system has been implemented in a Thai SME.From the process perspective,the DSM system is a systematic procedure for end-to-end delivery services.It allows the interactions between planner-driver decisions and supporting tools.The supporting tools are simple,can be easily used with little training,and require low capital expenditure.The statistical analysis shows that the ATP algorithm with the three techniques provides high accuracy.Thus,the proposed DSM system is beneficial for practitioners to manage delivery services,especially for SMEs in emerging countries.

Decreased human leukocyte antigen-D-related expression on CD14^(+)monocytes in patients with out-of-hospital cardiac arrest provided target temperature management therapy:a prospective observational study

Background:Post–cardiac arrest syndrome involves systemic inflammation,which causes subsequent neurological impairments.We investigated the influence of targeted temperature management(TTM)therapy in patients with out-of-hospital cardiac arrest(OHCA)after return of spontaneous circulation(ROSC)by observing the changes in circulating CD14^(+)monocytes and the expression of human leukocyte antigen D–related(HLA-DR)and programmed cell death ligand 1(PD-L1)in CD14^(+)monocytes.Methods:Adult patients admitted to the emergency department of Beijing Chao-Yang Hospital after OHCA between January 2017 and March 2018 were included in this study.Thirty control subjects,10 patients with OHCA,and 37 patients with OHCA who received 72 hours of TTM therapy were enrolled.Peripheral blood samples of patients in the OHCA and TTM groups were collected on Days 1 and 3(D1 and D3)after ROSC and evaluated for HLA-DR and PD-L1 expression on CD14^(+)monocytes using flow cytometry.Results:Compared with control subjects,the percentage of circulating CD14^(+)monocytes,HLA-DR+/CD14^(+)monocyte ratios,and mean fluorescence intensity were significantly decreased in patients with OHCA.After ROSC,HLA-DR expression in CD14^(+)monocytes in the TTM group was lower than that in patients with OHCA.However,there were no significant differences in the percentage of PD-L1+/CD14^(+)monocytes or the mean fluorescence intensity between patients with OHCA and healthy volunteers.Conclusion:After ROSC,circulating CD14^(+)monocytes and HLA-DR+/CD14^(+)monocyte ratios decreased significantly in patients with OHCA.Human leukocyte antigen D–related expression in CD14^(+)monocytes was lower in patients treated with TTM.

Ion track-based nanowire arrays with gradient and programmable diameters towards rational light management

Integrating nanowires with nonuniform diameter and random spatial distribution into an array can afford unconventional and additional means for modulating optical response.However,experimental realization of such a nanowire array is quite challenging.In this work,we propose a new fabrication strategy which takes advantage of ion track technology,via sequential swift heavy ion irradiation and ion track etching.Based on this strategy,we unprecedentedly realize nanowire arrays,using gold as an example,with gradient and programmable diameters in a controlled manner.We further demonstrate that such nanowire arrays can support broadband,tunable,and enhanced plasmonic responses.We believe that our new type of nanowire arrays will find great potential in applications such as light management and optoelectronic devices.

Sensor management of LEO constellation based on covariance control

This paper studies the multi-sensor management problem for low earth orbit(LEO) infrared warning constellation used to track a midcourse missile. A covariance control approach, which selects sensor combinations or subset based on the difference between the desired covariance matrix and the actual covariance of each target, is used for sensor management, including some matrix metrics to measure the differentia between two covariance matrices. Besides, to meet the requirements of the space based warning system, the original covariance control approach is improved. Simulation results demonstrate that the covariance control approach is able to provide a better tracking performance by providing a well-designed desired covariance and balance tracking performance goals with system demands.

The application of Baosteel mechanical and electronic products in the metallurgical logistics management

This paper elaborates core and related technologies with the theme of the application of Baosteel mechanical and electronic products in metallurgical logistics management.It introduces the model of logistics management in iron and steel enterprise,especially focuses on the vital roles of Mechano - electronic Products in this model.Then it describes sensor detection device and marking & identification equipment, considered as the main methods of logistics tracking in production equipment layer.Consequently logistics tracking is also explained and promoted to logistics management level.We mainly present some technologies about the wireless data transmission and crane positioning system in this section.And some new prospective R&D study results and more comprehensive solutions for mechanical and electrical products from Baosight are also introduced.Finally the significances of metallurgical logistics management are summarized.

Robust Resource Management Control for CO2 Emission and Reduction of Greenhouse Effect: Stochastic Game Approach

With the increasingly severe global warming, investments in clean technology, reforestation and political action have been studied to reduce CO2 emission. In this study, a nonlinear stochastic model is proposed to describe the dynamics of CO2 emission with control inputs: clean technology, reforestation and carbon tax, under stochastic uncertainties. For the efficient resources management, a robust tracking control is designed to force resources tracking a desired reference output. The worst-case effect of stochastic parametric fluctuations, external disturbances and uncertain initial conditions on the tracking performance is considered and minimized from the dynamic game theory perspective. This stochastic game problem, in which one player (stochastic uncertainty) maximizes the tracking error and another player (control input) minimizes the tracking error, could be equivalent to a robust minimax tracking problem. To avoid solving the HJI, a fuzzy model is proposed to approximate the nonlinear CO2 emission model. Then the nonlinear stochastic game problem could be easily solved by fuzzy stochastic game approach via LMI technique.

Intelligent Biometric Information Management

We advance here a novel methodology for robust intelligent biometric information management with inferences and predictions made using randomness and complexity concepts. Intelligence refers to learning, adap- tation, and functionality, and robustness refers to the ability to handle incomplete and/or corrupt adversarial information, on one side, and image and or device variability, on the other side. The proposed methodology is model-free and non-parametric. It draws support from discriminative methods using likelihood ratios to link at the conceptual level biometrics and forensics. It further links, at the modeling and implementation level, the Bayesian framework, statistical learning theory (SLT) using transduction and semi-supervised lea- rning, and Information Theory (IY) using mutual information. The key concepts supporting the proposed methodology are a) local estimation to facilitate learning and prediction using both labeled and unlabeled data;b) similarity metrics using regularity of patterns, randomness deficiency, and Kolmogorov complexity (similar to MDL) using strangeness/typicality and ranking p-values;and c) the Cover – Hart theorem on the asymptotical performance of k-nearest neighbors approaching the optimal Bayes error. Several topics on biometric inference and prediction related to 1) multi-level and multi-layer data fusion including quality and multi-modal biometrics;2) score normalization and revision theory;3) face selection and tracking;and 4) identity management, are described here using an integrated approach that includes transduction and boosting for ranking and sequential fusion/aggregation, respectively, on one side, and active learning and change/ outlier/intrusion detection realized using information gain and martingale, respectively, on the other side. The methodology proposed can be mapped to additional types of information beyond biometrics.

Research on FMC analytic algorithm of PBN track transition coding

Airborne navigation database(NavDB)coding directly affects the result of analysis on the instrument flight procedure by the modern aircraft flight management computer(FMC).A reasonable flight track transition mode can improve the track tracking accuracy and flight quality of the aircraft.According to the path terminator(PT)and track transition characteristics of the performance based navigation(PBN)instrument flight procedure and by use of the world geodetic system(WGS)-84 ellipsoidal coordinate system,the algorithms for“fly by”and“fly over”track transition connections are developed,together with the algorithms for coordinates of fix-to-altitude(FA)altitude termination point and heading-to-an-intercept(VI)track entry point and for track transition display of the navigation display(ND).According to the simulation carried out based on the PBN instrument approach procedure coding of a certain airport and the PBN route data at a high altitude,the algorithm results are consistent with the FMC-calculated results and the actual ND results.

装配式建筑PC构件产销一体化管理系统研究

混凝土预制(Precast Concrete,PC)构件是装配式建筑主体结构的基础,提升其生产的智能化、信息化水平尤为关键。文章以PC构件厂的生产管理模式和普遍管理现状为研究对象,基于PC构件生产线模式的需求分析,设计管理系统的基本组成架构、静态和动态信息模块,完成管理系统的开发。通过订单跟踪和生产管理在管理系统中的集成,完成PC构件的多品种、小批量生产的一体化管理;并基于数字孪生模型与PC构件生产设备之间的信息交互,实现订单跟踪的可视化管理。结果表明:管理系统通过对PC构件的订单跟踪和质量管理,可实现订单数据的全面分析和精细化管理,并有效提升生产效率和决策管理水平。

计划行为理论下的追踪护理模式对高脂血症患者血脂水平及自我管理的影响

目的探讨计划行为理论下的追踪护理模式对高脂血症患者血脂水平及自我管理的影响。方法选取2022年1—12月郑州大学第一附属医院94例高脂血症患者,采用随机抽签法分为对照组(47例)、试验组(47例),对照组接受常规护理,试验组在此基础上实施计划行为理论下的追踪护理模式。比较两组疾病知识掌握情况、用药依从性[服药依从性量表(MMAS-8)]及干预前后血脂水平[胆固醇(TC)、甘油三酯(TG)、低密度脂蛋白胆固醇(LDL-C)、高密度脂蛋白胆固醇(HDL-C)]、健康信念[健康信念模型量表(CHBMS)]、自我管理能力[成年人健康自我管理能力测评量表(AHSMSRS)]、健康行为[健康促进生活方式量表(HPLP-Ⅱ)]、心理状态[正性与负性情绪量表(PANAS)]、生活质量[世界卫生组织生活质量测定量表简表(WHOQOL-BREF)]。结果试验组疾病知识掌握率(95.74%)高于对照组(80.85%)(P<0.05);试验组用药依从率(100.00%)高于对照组(85.11%)(P<0.05);干预6个月后试验组TC、TG、LDL-C、HDL-C水平优于对照组(P<0.05);试验组干预6个月后CHBMS、AHSMSRS、HPLP-Ⅱ、WHOQOL-BREF评分均高于对照组(P<0.05);与对照组比较,干预6个月后试验组PANAS-正性评分较高,PANAS-负性评分较低(P<0.05)。结论计划行为理论下的追踪护理模式可提升高脂血症患者自我管理能力,提高其用药依从性,改善其血脂水平,提高生活质量水平。

轨道打磨电动机监测管理系统设计与实现

打磨电动机是铁路轨道打磨作业的重要设备。但其工作环境较为恶劣,故障率较高。文中从实际需求出发,研究并构建1套轨道打磨电动机监测管理系统,以实现对电动机实时状态进行监测和相关数据的采集。系统针对海量数据的高效采集存储、故障诊断方面进行了深入研究和设计,同时构建友好的用户交互界面。该系统对于推动铁路轨道打磨的实际应用和设备的智能化有一定的促进作用。

先导专项档案管理模式及优化策略研究

近年来,中国科学院战略性先导专项的立项活动日益增多,先导专项档案管理模式呈现出多样化的特点,但在责任划分、监督执行、制度完善及质量控制等多个层面均存在显著短板。为提高先导专项档案管理的质量和水平,文章分析了先导专项档案管理的现状,探讨了现行三种先导专项档案管理模式的优劣,提出从管理责任体系、规章制度体系、人才队伍体系、档案资源体系、档案管理平台等方面优化“科研+行政”并轨管理模式,以期双线负责人共同肩负专项责任,共同推进档案管理工作,为先导专项的高效建设提供优质的档案服务支持。

基于RFID技术的装配式构件质量动态跟踪系统

装配式构件全寿命周期质量管理流程涉及众多节点企业,建立集成化、信息化的质量跟踪系统才能有效提升产业链协同效率和建造质量。从多方多目标协同管理的角度,提出了基于BIM和RFID技术的装配式构件质量动态跟踪系统方案,在分析质量管理需求的基础上设计了系统架构及主要模块,建立了系统信息流模型并进行了功能和界面设计,为企业提升装配式建筑质量管理水平提供参考。

海洋石油码头物资集散管理系统设计与实现

海洋石油采油生产单元远离陆地,全部后勤保障物资主要依靠船舶供给,码头作为连接海陆重要节点的物资集散地,在联通陆地生产支持与海上生产中起至关重要的作用。随着数字化、智能化的飞速发展,为更好地服务于海上油田作业生产,提出利用人工智能、大数据等先进技术来提升传统码头的作业效率和管理能力,应对油气开采单元不断增长的需求。从物资集散管理现状和作业生产特点方面开展综合分析,从技术和业务2个层面出发,结合海洋石油对码头作业的实际需求,对物流、仓储、作业、船舶及物资综合性一体化应用系统进行设计和研究,阐述系统建设的可行性。

经导管二尖瓣缘对缘修复术的超快通道麻醉经验总结

目的回顾性总结超快通道麻醉应用于经导管二尖瓣缘对缘修复术(TEER)治疗功能性二尖瓣反流患者的麻醉方法和围术期麻醉管理经验。方法纳入2022年5—9月在云南省阜外心血管病医院因心力衰竭合并中重度或重度功能性二尖瓣反流行TEER手术,且实施超快通道麻醉的患者。收集患者一般资料、术前合并症、心功能及麻醉分级、术前及术后1年经食管超声心动图检查结果、血清N末端B型脑钠肽前体(NT-proBNP)、手术及拔除气管导管时间、术中麻醉用药、手术及麻醉相关并发症。对麻醉管理、围术期并发症的预防及管理进行分析总结。结果共纳入30例患者,女11例(36.7%),年龄(63.6±6.1)岁。术前纽约心脏病协会(NYHA)心功能分级Ⅳ级14例(46.7%);左心室射血分数(36.0±8.1)%,左心室舒张末期前后径(66.0±8.2)mm;二尖瓣反流程度4+:17例(56.7%),3+:13例(43.3%);NT-proBNP(1934.1±1973.5)pg/ml;采用超快通道麻醉的患者中,有1例(3.3%)患者术中使用大剂量血管活性药。30例患者术后24 h均未发生恶心、呕吐、谵妄、呼吸抑制、围术期经食管超声心动图检查相关消化道大出血、心包积液、脑血管意外、需紧急手术或二次干预及其他术中严重不良事件;无30 d全因死亡发生,平均术后住院(7.4±2.8)d。所有患者完成术后1年随访:左心室射血分数(37.6±11.1)%,左心室舒张末期前后径(63.2±8.6)mm;二尖瓣反流程度2+:7例(23.3%),1+:23例(76.7%);NT-proBNP(1949.2±2576.6)pg/ml。结论超快通道麻醉可应用于TEER治疗功能性二尖瓣反流患者。

质子交换膜燃料电池性能优化控制

质子交换膜燃料电池(proton exchange membrane fuel cell,PEMFC)的热管理,是影响PEMFC安全、稳定、高效运行的核心关键因素。该文在分析PEMFC热管理子系统的结构,以及关键组成部件(包括空气压缩机、冷却液循环泵和冷却风扇)的工作原理基础上,首先搭建耦合热管理子系统的PEMFC非线性仿真模型,进一步将其简化处理得到用于控制的线性模型;在此基础上,设计基于卡尔曼滤波的状态观测器,以实现对状态和不可测量扰动的估计,从而消除模型稳态误差;随后设计目标计算器,以净输出功率跟踪误差最小化和系统效率最大化为目标,对PEMFC系统工作状态进行优化;进而基于线性控制模型,设计无偏显式模型预测控制(offset-free explicit model predictive control,offset-free EMPC),对优化工作状态进行跟踪控制;最后,搭建一个软件在环(softwareintheloop,Si L)测试平台,通过与传统MPC控制策略的仿真结果对比可得,无偏EMPC控制策略可以显著将净输出功率的平均跟踪误差绝对值从344.29W减小到82.19W,系统效率从40.32%提升到46.56%,算法平均单步计算耗时从26ms降低到11.8ms,并且可以约束PEMFC系统运行在稳定和安全的工况。

五心护理服务配合追踪管理对病毒性心肌炎患者心理状态及治疗依从性的影响

目的:探讨五心护理服务配合追踪管理对病毒性心肌炎患者心理状态及治疗依从性的影响。方法:某院于2021年1月开始实施五心护理服务,将实施前(2018年3月-2020年12月)常规护理干预+追踪管理的病毒性心肌炎患者61例纳入B组,将实施后(2021年1月-2023年7月)常规护理干预+追踪管理+五心护理服务的病毒性心肌炎患者65例纳入A组,持续干预1个月,比较两组服药依从性和生活方式依从性、自护能力[自我护理能力测定量表(ESCA)]、健康行为[健康促进生活方式量表(HPLPⅡ)]、心理状态[焦虑自评量表(SAS)、抑郁自评量表(SDS)]以及并发症发生情况。结果:A组用药依从率、饮食控制率、戒烟戒酒、适量运动率均高于B组(χ^(2)=6.476,5.041,4.234,4.950;P<0.05);A组干预后自护ESCA量表中自我概念、自我责任、自我护理技能、健康知识水平维度及量表总分高于B组(t=6.646,3.714,7.102,5.761,8.139;P<0.05);A组干预后健康行为HPLP-Ⅱ量表营养、运动锻炼、压力管理、人际关系、自我实现、健康责任维度及量表总分高于B组(t=2.928,4.460,2.272,2.588,3.652,4.864;P<0.05);A组干预后心理状态SAS、SDS评分低于B组(t=5.952,4.215;P<0.05);A组、B组并发症发生率分别为12.31%、18.03%,两组比较差异无统计学意义(χ^(2)=0.805,P>0.05)。结论:五心护理服务配合追踪管理可提高病毒性心肌炎患者治疗依从性,提升其自护能力,促进健康行为的形成,减轻患者不良心理情绪。