Machine Learning Approaches for Monitoring of Tool Wear during Grey Cast-Iron Turning

The dynamic development of new technologies enables the optimal computer technique choice to improve the required quality in today’s manufacturing industries. One of the methods of improving the determining process is machine learning. This paper compares different intelligent system methods to identify the tool wear during the turning of gray cast-iron EN-GJL-250 using carbide cutting inserts. During these studies, the experimental investigation was conducted with three various cutting speeds vc (216, 314, and 433 m/min) and the exact value of depth of cut a_p and federate f. Furthermore, based on the vibration acceleration signals, appropriate measures were developed that were correlated with the tool condition. In this work, machine learning methods were used to predict tool condition; therefore, two tool classes were proposed, namely usable and unsuitable, and tool corner wear VBc = 0.3 mm was assumed as a wear criterium. The diagnostic measures based on acceleration vibration signals were selected as input to the models. Additionally, the assessment of significant features in the division into usable and unsuitable class was caried out. Finally, this study evaluated chosen methods (classification and regression tree, induced fuzzy rules, and artificial neural network) and selected the most effective model.     

Investigation of Adhesion Properties of Tire—Asphalt Pavement Interface Considering Hydrodynamic Lubrication Action of Water Film on Road Surface

To obtain the tire–pavement peak adhesion coefficient under different road states, a field measurement and FE simulation were combined to analyze the tire–pavement adhesion characteristics in this study. According to the identified texture information, the power spectral distribution of the road surface was obtained using the MATLAB Program, and a novel tire hydroplaning FE model coupled with a textured pavement model was established in ABAQUS. Experimental results show that here exists an “anti-skid noncontribution area” for the insulation and lubrication of the water film. Driving at the limit speed of 120 km/h, the critical water film thickness for the three typical asphalt pavements during hydroplaning was as follows: AC pavement, 0.56 mm; SMA pavement, 0.76 mm; OGFC pavement, 1.5 mm. The road state could be divided into four parts dry state, wet sate, lubricated state, and ponding state. Under the dry road state, when the slip rate was around 15%, the adhesion coefficient reached the peak value, i.e., around 11.5% for the wet road state. The peak adhesion coefficient for the different asphalt pavements was in the order OGFC > SMA > AC. This study can provide a theoretical reference for explaining the tire–pavement interactions and improving vehicle brake system performance.     

常见革兰阳性细菌鉴定与耐药检测基因芯片的临床应用

目的利用基因芯片技术进行常见革兰阳性细菌的细菌鉴定和耐药性检测。方法用生理生化鉴定和药敏纸片法确定445份革兰阳性细菌菌株的细菌种类和耐药性,盲法进行革兰阳性细菌鉴定与耐药检测基因芯片的检测,用SPSS 10.0 for Windows软件统计分析。结果与临床常规方法相比,耐药检测基因芯片鉴定指标的灵敏度均>96%,特异度均>98%;耐药检测指标的灵敏度均>94%,特异度均>90%。χ2检验结果P值均>0.05,基因芯片检测结果与临床常用方法检测结果差异无统计学意义。Kappa值均>0.75,2种方法一致性较好。结论基因芯片技术对细菌鉴定和耐药检测有一定的临床应用价值。     

武汉市流感病毒流行特征及检测方法的比较

目的 探讨武汉市甲、乙型流感病毒的流行特征,通过比较巢式PCR和胶体金法检测对流感病毒的检出情况,评价后者能否为临床流感样患者的流感初筛和诊断提供快速有效的方法.方法 采集2017—2019年武汉市流感样患者的鼻咽拭子,进行胶体金法检测,分析该地区甲、乙型流感病毒的流行病学特征;同时选取其中600份样本,进行巢式PCR...     

Identifying food components: INFOODS tagnames and other component identification systems

Food components need to be identified correctly and unambiguously. This is essential in the documentation and interchange of compositional data and it avoids confusion and misinterpretation for the users of these data. For this purpose, INFOODS published the first set of component identifiers, also called tagnames, in 1989. Since then, reported food components have vastly increased in number due to advances in analytical methods and increased interest in bioactive non-nutrient components. Users of food composition data are increasingly interested in more detailed data on fatty acids (e.g. positional and geometric isomers), individual vitamers and the speciation of nutrient elements. Several hundred tagnames have been added to the INFOODS database in the past 15 years. In order to keep up with the plethora of food components being analyzed and compiled in food composition databases, as well demands from new sectors and user, INFOODS held a technical consultation in 2003 to review and update principles and practices. Recommendations included separating units and base quantities from the definition of a tagname, maintaining the principle of different tagnames for highly empirical methods, and maintaining the keyword approach through which the components can be further defined. The comparison between INFOODS tagnames and other component identification systems such as EUROFOODS shows that the majority of component identifiers are the same. Further discussions and trials are needed to continue the evolution of the harmonized system of component identification through the lenses of both nutrition science and information technology.     

战役卫勤快速支援系统铁路输送的组织

介绍了战役卫勤快速支援系统的基本情况和装载情况,并给出了其在装载中、铁路运输途中以及卸载时的注意事项,为卫勤分队实现战时应战、平时应急奠定了基础,提高了适应环境能力和自我保障能力。     

偏光显微镜在中药鉴定中的应用

偏光显微镜用于观察具有偏光特性的中药粉末,具有快速准确并能排除干扰的作用,因此成为显微鉴定的常用方法。综合有关文献资料并结合作者工作经验,归纳了近年来偏光显微镜在中药显微鉴定方面的应用.      

基于“上报—谈话—随访”模式的高风险外科住院病例识别与质控

在现阶段资源和技术有限的情况下,促进管理资源向真正的高风险患者集中是医疗质量与安全管理的难点。华中科技大学同济医学院附属协和医院自2009年开始逐步构建起针对高风险外科住院病例的"上报-谈话-随访"模式。该模式在强化风险沟通的同时,较好地实现了高风险外科住院病例的识别作用,额外增加后续的针对科室基础管理的随访质控,能够促进形成闭环管理,为医院医疗质量管理与安全管理提供借鉴。     

乙肝口服液中三七、赤芍、延胡索、当归的薄层鉴别研究

目的::对乙肝口服液进行薄层色谱鉴别研究。方法:采用薄层色谱法对乙肝口服液中的三七、赤芍、延胡索、当归进行鉴别研究。结果:三七、赤芍、延胡索、当归薄层色谱图斑点清晰,重现性好,无干扰。结论:该方法快速,简便,专属性强,可用于乙肝口服液的质量控制。     

新发传染病鉴定技术研究进展

近年来,人与野生动物日益频繁的接触,再加上病原微生物本身不断的变异和进化,导致新发传染病(emerging infectious diseases,EIDs)的发生呈持续增长态势,暴发频率不断增加,给全球公共卫生带来极大威胁与挑战.在下一次新发传染病暴发之际,希望能通过合理运用相关技术方法准确快速回答"病原体是什么"、...