Application of Windows Socket Technique to Communication Process of the Train Diagram Network System Based on Client/Server Structure

This paper is focused on the technique for de si gn and realization of the process communications about the computer-aided train diagram network system. The Windows Socket technique is adopted to program for the client and the server to create system applications and solve the problems o f data transfer and data sharing in the system.

Process optimization diagram based on FEM simulation for extrusion of AZ31 profile

The ram speed and the billet temperature are the primary process variables that determine the quality of the extruded magnesium profile and the productivity of the extrusion operation.The optimization of the extrusion process concerns the interplay between these two variables in relation to the extrudate temperature and the peak extrusion pressure.The 3D computer simulations were performed to determine the effects of the ram speed and the billet temperature on the extrudate temperature and the peak extrusion pressure,thereby providing guidelines for the process optimization and minimizing the number of trial extrusion runs needed for the process optimization.A case study on the extrusion of an AZ31 X-shaped profile was conducted.The correlations between the process variables and the response from the deformed material,extrudate temperature and peak extrusion pressure,were established from the 3D FEM simulations and verified by the experiment.The research opens up a way to rational selection of the process variables for ensured quality and maximum productivity of the magnesium extrusion.

Petrochemical eigenvalues and diagrams for the identification of metamorphic rocks'protolith,taking the host rocks of Dashuigou tellurium deposit in China as an example

The Dashuigou tellurium deposit is the world’s only known independent tellurium deposit.By restoring metamorphic rocks’protolith,we seek to understand not only the development and evolution trajectory of the region but also the origin of the relevant deposits.While there are many ways to restore metamorphic rocks’protolith,we take the host metamorphic rocks of Dashuigou tellurium deposit and leverage various petrochemical eigenvalues and related diagrams previously proposed to reveal the deposit’s host metamorphic rocks’protolith.The petrochemical eigenvalues include molecular number,Niggli’s value,REE parity ratio,CaO/Al_(2)O_(3)ratio,Fe^(3+) /(Fe^(3+) -+Fe^(2+) )ratio,chondrite-normalized REE value,logarithmic REE value,various REE eigenvalues including scandium,Eu/Sm ratio,total REE amount,light and heavy REEs,δEu,Eu anomaly,Sm/Nd ratio,and silicon isotope δ^(30) SiNBS-29‰,etc.The petrochemical plots include ACMs,100 mg-c-(al+alk),SiO_(2)-(Na_(2)O+K_(2)O),(al+fm)-(c+alk)versus Si,FeO+Fe_(2)O^(3+) TiO)-Al_(2)O_(3)-MgO,c-mg,Al_(2)O_(3)-(Na_(2)O+K_(2)O),chondrite-normalized REE model,La/Yb-REE,and Sm/Nd ratio,etc.On the basis of these comprehensive analyses,the following conclusions are drawn,starting from the many mantle-derived types of basalt developed in the study area of different geological ages,combined with the previously published research results on the deposit s fluid inclusions and sulfur and lead isotopes.The deposit is formed by mantle degassing in the form of a mantle plume in the late Yanshanian orogeny.The degassed fluids are rich in nano-sc ale substances including Fe,Te,S,As,Bi,Au,Se,H_(2),CO_(2),N_(2),H_(2)O,and CH_(4),which are enriched by nano-effect,and then rise to a certain part of the crust in the form of mantle plume along the lithospheric fault to form the deposit.The ultimate power for tellurium mineralization was from H_(2)flow with high energy,which was produced through radiation from the melted iron of the Earth’s outer core.The H,flow results in the Earth’s degassing,as well as the mantle and crust’s uplift.

Production of Potash and N-Mg Compound Fertilizer via Mineral Shoenite from Kunteyi Salt Lake:Phase Diagrams of Quaternary System(NH_(4))_(2)SO_(4)-MgSO_(4)-K_(2)SO_(4)-H_(2)O in the Isothermal Evaporation and Crystallization Process

Based on the requirement of the new technology for producing potassium sulfate and N-Mg compound fertilizer,boussingaultite,by the reaction of the mineral shoenite from Kunteyi Salt Lake,Qinghai province,and the industrial by-product ammonium sulfate,the solubilities of the quaternary system(NH_(4))_(2)SO_(4)-MgSO_(4)-K_(2)SO_(4)-H_(2)O at 25.0℃in the isothermal evaporation and crystallization process were measured using the isothermal evaporation method,and the corresponding phase diagrams were plotted.According to the diagram,this system contains six saturation points and six solid phase fields of crystallization,which correspond to(K1-m,(NH_(4))m)_(2)SO_(4),(NH_(4))_(2)SO_(4)·MgSO_(4)·6H_(2)O,K_(2)SO_(4)·MgSO_(4)·6H_(2)O,MgSO_(4)·6H_(2)O,(K1-n,(NH_(4))n)_(2)SO_(4)·MgSO_(4)·6H_(2)O and MgSO_(4)·7H_(2)O,respectively.By analyzing and calculating the isothermal evaporation and dissolution phase diagram of this quaternary system at 25.0℃,K_(2)SO_(4)and(NH_(4))_(2)SO_(4)·MgSO_(4)·6H_(2)O can be separated via K_(2)SO_(4)·MgSO_(4)·6H_(2)O and(NH_(4))_(2)SO_(4)as raw materials.Theoretical calculations about the proposed process were carried out and verified by experiment,which indicated that the yield of potassium sulfate was improved and the magnesium resources were fully utilized.

Solving Algebraic Problems with Geometry Diagrams Using Syntax-Semantics Diagram Understanding

Solving Algebraic Problems with Geometry Diagrams(APGDs)poses a significant challenge in artificial intelligence due to the complex and diverse geometric relations among geometric objects.Problems typically involve both textual descriptions and geometry diagrams,requiring a joint understanding of these modalities.Although considerable progress has been made in solving math word problems,research on solving APGDs still cannot discover implicit geometry knowledge for solving APGDs,which limits their ability to effectively solve problems.In this study,a systematic and modular three-phase scheme is proposed to design an algorithm for solving APGDs that involve textual and diagrammatic information.The three-phase scheme begins with the application of the statetransformer paradigm,modeling the problem-solving process and effectively representing the intermediate states and transformations during the process.Next,a generalized APGD-solving approach is introduced to effectively extract geometric knowledge from the problem’s textual descriptions and diagrams.Finally,a specific algorithm is designed focusing on diagram understanding,which utilizes the vectorized syntax-semantics model to extract basic geometric relations from the diagram.A method for generating derived relations,which are essential for solving APGDs,is also introduced.Experiments on real-world datasets,including geometry calculation problems and shaded area problems,demonstrate that the proposed diagram understanding method significantly improves problem-solving accuracy compared to methods relying solely on simple diagram parsing.

Prediction and Verifcation of Forming Limit Diagrams Based on a Modifed Shear Failure Criterion

The forming limit diagram plays an important role in predicting the forming limit of sheet metals.Previous studies have shown that,the method to construct the forming limit diagram based on instability theory of the original shear failure criterion is efective and simple.The original shear instability criterion can accurately predict the left area of the forming limit diagram but not the right area.In this study,in order to improve the accuracy of the original shear failure criterion,a modifed shear failure criterion was proposed based on in-depth analysis of the original shear failure criterion.The detailed improvement strategies of the shear failure criterion and the complete calculation process are given.Based on the modifed shear failure criterion and diferent constitutive equations,the theoretical forming limit of TRIP780 steel and 5754O aluminum alloy sheet metals are calculated.By comparing the theoretical and experimental results,it is shown that proposed modifed shear failure criterion can predict the right area of forming limit more reasonably than the original shear failure criterion.The efect of the pre-strain and constitutive equation on the forming limits are also analyzed in depth.The modifed shear failure criterion proposed in this study provides an alternative and reliable method to predict forming limit of sheet metals.

A reasoning diagram based method for fault diagnosis of railway point system

Railway Point System(RPS)is an important infrastructure in railway industry and its faults may have significant impacts on the safety and efficiency of train operations.For the fault diagnosis of RPS,most existing methods assume that sufficient samples of each failure mode are available,which may be unrealistic,especially for those modes of low occurrence frequency but with high risk.To address this issue,this work proposes a novel fault diagnosis method that only requires the power signals generated under normal RPS operations in the training stage.Specifically,the failure modes of RPS are distinguished through constructing a reasoning diagram,whose nodes are either binary logic problems or those that can be decomposed into the problems of the binary logic.Then,an unsupervised method for the signal segmentation and a fault detection method are combined to make decisions for each binary logic problem.Based on the results of decisions,the diagnostic rules are established to identify the failure modes.Finally,the data collected from multiple real-world RPSs are used for validation and the results demonstrate that the proposed method outperforms the benchmark in identifying the faults of RPSs.

Reliability Analysis of Satellite Turntable System under Multiple Operation Modes Based on Multi-Valued Decision Diagrams

As a payload support system deployed on satellites,the turntable system is often switched among different working modes during the on-orbit operation,which can experience great state changes.In each mode,the missions to be completed are different,consecutive and non-over-lapping,from which the turntable system can be considered to be a phased-mission system(PMS).Reliability analysis for PMS has been widely studied.However,the system mode cycle characteristic has not been taken into account before.In this paper,reliability analysis method of the satellite turntable system is proposed considering its multiple operation modes and mode cycle characteristic.Firstly,the multi-valued decision diagrams(MDD)manipulation rules between two adjacent mission cycles are proposed.On this basis,MDD models for the turntable system in different states are established and the reliability is calculated using the continuous time Markov chains(CTMC)method.Finally,the comparative study is carried out to show the effectiveness of our proposed method.

线上线下双模式教育的应用——以机械电子工程专业必修课《热力学与传热学基础》为例

后疫情时代,为适应教学要求,逐渐衍生出线上线下双模式的教学方式。本文以机械电子工程专业的必修课《热力学与传热学基础》为例介绍了线上线下双模式教育在教学中的应用。首先介绍了《热力学与传热学基础》这门专业必修课的主要授课内容、学习目标和考核标准,其次以理想气体基本热力学过程的p-v图和T-s图为例,说明了双模式教育的应用为教学带来的好处。

眩晕患者冷热实验荚形图的结果可靠性分析

目的分析眩晕患者冷热实验荚形图类型,了解冷热实验结果的准确性及可靠性,为前庭系统功能评估提供更准确可靠的依据。方法总结分析眩晕诊疗中心2021年7月至2022年5月528例眩晕患者的冷热实验结果,按照荚形图形态及单侧反应减弱(unilateral weakness,UW)分为荚形图冷热对称组、左右对称组、单值显著异常组、双侧数值减下组以及荚形图形态不能分类组,通过比较不同组别UW的结果,对其进行解释及归纳,来辨识不可靠数据,从而减少不可靠数据对临床诊疗的干扰。结果冷热对称的荚形图(439例)表现为双侧前庭功能对称(273例)及一侧前庭功能减低(166例),同侧耳双温刺激冷热气刺激慢相角速度(SPV)差异无统计学意义(P>0.05);左右侧别对称荚形图(14例)包括双侧前庭功能对称(11例)和一侧减低(13例),同侧耳双温刺激SPV值差异有统计学意义(P<0.05);单值显著异常荚形图(36例)包括一侧前庭功能减低(25例)和双侧前庭功能对称(11例),同侧耳双温刺激SPV值差异有统计学意义(P<0.05);双侧数值减低荚形图(34例)可表现为双侧前庭功能对称(25例)及一侧减低(9例),同侧耳双温刺激SPV差异无统计学意义(P>0.05);荚形图形态不能分类(5例)提示干扰因素较多。结论冷热实验显示双耳外周前庭功能对称且正常时,要警惕荚形图中温度效应的存在,需考虑对灌注器的检视及灌注温度的校准;冷热实验提示一侧前庭功能减低时,要注意荚形图中单个数值显著增高或减低的情况,建议重复灌注,仍无改变时,建议重复另一耳此温度下的灌注,甚至重复整个冷热实验;冷热实验荚形图提示双耳外周前庭功能减低时,UW值不能真实反应双侧前庭功能的状态,可改用水灌注重复,并结合病史及其他辅助检查做出正确判断。荚形图的形态结合UW值来综合判断冷热实验的有效性有重要意义。

应力驱动的2.5D梯度各向异性维诺多孔零件轻量化建模方法

为了提高多孔零件的设计自由度、内部力学性能梯度与实际应力分布的匹配度,提出一种应力驱动的2.5D梯度各向异性维诺多孔零件轻量化设计方法。将零件有限元分析结果分解为应力标量场和应力方向场,通过加权随机采样算法将应力标量场映射为零件设计域内的维诺站点分布,实现零件内部力学性能的梯度分布;将应力方向场映射为二维黎曼流形,提出一种基于胞元择优方向生长策略的各向异性维诺图生成算法,生成胞元沿黎曼流形分布的各向异性维诺图。在此基础上,通过偏置算法、调和距离场和拉伸算法生成光滑的梯度各向异性维诺多孔零件。最后,采用有限元分析、三点弯曲实验等方法将所设计的多孔零件和其他多孔零件进行比较分析。实验结果表明,所提出的梯度各向异性维诺多孔零件建模方法能有效提升零件内部力学性能梯度与实际应力分布的匹配度,降低材料消耗,实现轻量化设计。

二维图纸驱动三维建模的方法

针对船舶设计过程中二维图纸和三维模型之间缺乏有效关联关系的现状,开展二维图纸驱动三维模型的方法研究。开展常用二维原理图绘制软件CAD和SP P&ID的对比分析;针对CAD软件和SP P&ID两种软件输出的不同形式的二维原理图,分别开展二维原理图驱动三维模型的方法研究,分析二维原理图驱动三维建模的流程,研究二维原理图驱动三维建模的机理,解决二维原理图和三维模型之间数据分离的问题,提高船舶设计效率。

读《太极图说》对人文医学的意义

宋代新儒家周敦颐改绘了当时流传的“太极图”,并撰著《太极图说》,诠释“太极图”。文章虽然是周敦颐研究易学哲理思想的心得体会,但是蕴含有深刻的宇宙自然科学哲理和广博的人文哲学精神内涵,对于当今医学工作者仍然有重要的启迪意义。

GhostConv轻量级网络设计及故障诊断研究

提出一种GhostConv轻量级网络模型并将其用于故障诊断。GhostConv利用常规卷积生成一小部分特征图,然后在生成的特征图上进行多次特征提取来生成其余特征图,最大程度地节约了常规卷积中生成冗余特征图的成本,减少了模型参数,保证了模型的性能。采用连续小波变换对振动信号进行时频变换生成二维时频图,之后利用设计的GhostConv搭建轻量级网络模型进行故障诊断。采用凯斯西储大学轴承数据集进行验证,并与其他卷积结构网络模型进行参数量、计算量以及识别准确率的对比。实验结果表明,与其他模型相比,所使用的网络模型在参数量和计算量较少的条件下依旧有较高的识别精度,且具有较好的鲁棒性和泛化能力,具有一定的工程应用价值。

我国院前医疗急救标准研究

目的了解我国院前医疗急救标准现状,为推进院前医疗急救标准化、同质化建设提供参考。方法从各标准信息公共服务平台检索我国院前医疗急救相关标准,进行描述性统计分析和词云图分析。结果1975年-2022年我国发布院前医疗急救相关标准57项,标准牵头起草单位40家,参与起草单位307家。院前医疗急救相关标准的重点逐渐由急救车辆、急救设备等转为对伤病员的服务规范、信息化、急救机构建设等。结论我国院前医疗急救相关标准总量较少,内容覆盖面窄,且未形成标准体系。需抓住院前医疗急救发展新机遇,优化院前医疗急救标准框架体系,及时进行标准制修订工作,并持续做好培训、宣贯等。

内蒙古乌努格吐山铜钼矿区地下水化学特征及其成因机制

内蒙古乌努格吐山铜钼矿地处呼伦贝尔草原腹地。本文对研究区内地下水及地表水进行了系统采样测试,应用数理统计、Piper三线图解、相关性分析、Gibbs模型以及离子比例关系等方法对研究区水样进行综合分析。研究结果表明,区内水体阳离子以Ca^(2+)和Na^(+)为主,Ca^(2+)基本来源于钙镁硅酸盐岩的风化溶解,Na^(+)主要来源于岩盐溶解;阴离子以HCO^(-)_(3)和SO_(4)^(2-)为主,主要受碳酸盐的溶解影响,局部受含硫矿物的氧化和尾矿液渗透影响较大。水化学类型以HCO^(-)_(3)Ca·Mg和HCO_(3)·SO_(4)-Ca·Mg·Na型为主,总体呈中性,大部分属微硬淡水。区内水化学成分主要受溶滤作用影响,阳离子交替吸附作用和浓缩作用也有一定影响。基本查明了矿区及其周边地下水化学特征及其成因机制,为矿山地质环境影响评价、绿色和谐矿山建设以及草原生态环境保护等提供科学依据。

推动临床路径管理的影响因素及对策分析

笔者介绍了临床路径的定义及背景,梳理了我国临床路径管理的发展沿革,重点针对推进临床路径管理工作各环节中存在的制约因素展开讨论,运用鱼骨图分析法从环境、政策、医院、医务人员及信息系统五大层面进行深入分析,以期为有效推进临床路径管理、促进诊疗同质化水平提升提供一些建议与参考。

“植物细胞工程”内容梳理及教学设计探索——基于生活实例与领域科研前沿成果

植物细胞工程是植物生物技术领域中应用最广泛、取得多项里程碑式成果的一门技术。根据多年的教学实践,提出了一些教学体验。课程内容建设上,围绕“一个总则、两个方面”展开,给学生总结了一个线索图,使他们更好地理解章节之间的逻辑关系。讲课方式上,根据该课程的特点本着“生活中的植物细胞工程、科研中的植物细胞工程”原则进行讲述,既让学生感到植物细胞的成果就在身边,又通过生物技术领域的最新研究成果,开阔学生的视野,加深对理论的理解,激发学生的学习兴趣。

基于因果图分析的可解释司法判决预测方法研究

随着人工智能技术的发展和海量司法数据的公开,面向“智慧司法”服务的司法判决预测(legal judgment prediction,LJP)任务受到了学术界和工业界的广泛关注,该任务旨在根据有限的案件事实描述文本来预测案件的罪名、法条和刑期。然而,现有工作缺乏对易混淆司法案件的智能决策的研究,且相关模型通常缺乏可解释性,这会导致模型预测严重依赖领域专家,阻碍LJP在不同法律体系中的应用。为此,提出了一种基于因果图分析的司法判决预测(prediction of legal judgment based on causal graph analysis,CGLJ)方法,首先从非结构化的法律事实描述文本中挖掘要素之间的因果关系,然后采用易混淆罪名聚类的构图方法构建因果图,既考虑了相似事实描述之间的差异,又增强了事实描述和法律法规之间的相互作用,最后将构建好的因果图融入深度神经网络进行联合推理,得到判决预测结果。此外,还对模型预测过程中的因果图推理过程进行了可视化,为判决结果提供了更好的可解释性。在2018中国“法研杯”司法人工智能挑战赛(CAIL2018)司法判决预测数据集上的实验结果表明,该方法相比基线模型取得了更好的效果。