Embedding HMMs-based models in a Euclidean space: the topological hidden Markov models

Current extensions of hidden Markov models such as structural, hierarchical, coupled, and others have the power to classify complex and highly organized patterns. However, one of their major limitations is the inability to cope with topology: When applied to a visible observation (VO) sequence, the traditional HMM-based techniques have difficulty predicting the n-dimensional shape formed by the symbols of the VO sequence. To fulfill this need, we propose a novel paradigm named “topological hidden Markov models” (THMMs) that classifies VO sequences by embedding the nodes of an HMM state transition graph in a Euclidean space. This is achieved by modeling the noise embedded in the shape generated by the VO sequence. We cover the first and second level topological HMMs. We describe five basic problems that are assigned to a second level topological hidden Markov model: (1) sequence probability evaluation, (2) statistical decoding, (3) structural decoding, (4) topological decoding, and (5) learning. To show the significance of this research, we have applied the concept of THMMs to: (i) predict the ASCII class assigned to a handwritten numeral, and (ii) map protein primary structures to their 3D folds. The results show that the second level THMMs outperform the SHMMs and the multi-class SVM classifiers significantly.     

Robust model selection with flexible trimming

The forward search provides data-driven flexible trimming of a C_p statistic for the choice of regression models that reveals the effect of outliers on model selection. An informed robust model choice follows. Even in small samples, the statistic has a null distribution indistinguishable from an F distribution. Limits on acceptable values of the C_p statistic follow. Two examples of widely differing size are discussed. A powerful graphical tool is the generalized candlestick plot, which summarizes the information on all forward searches and on the choice of models. A comparison is made with the use of M-estimation in robust model choice.     

SB70变频器、自整角机与角位移变送器在矿用提升机上的应用

本文介绍了传统的绕线式电动机转子串电阻调速方式提升机。结合该矿井提升机的实际条件,采用变频器、自整角机和角位变送器,对其进行改造以实现变频无级调速。在改造时保留原来的工频系统作为备用,并保持原有的操作装置和操作习惯。     

A parametric bootstrap approach for ANOVA with unequal variances: Fixed and random models

This article is about testing the equality of several normal means when the variances are unknown and arbitrary, i.e., the set up of the one-way ANOVA. Even though several tests are available in the literature, none of them perform well in terms of Type I error probability under various sample size and parameter combinations. In fact, Type I errors can be highly inflated for some of the commonly used tests; a serious issue that appears to have been overlooked. We propose a parametric bootstrap (PB) approach and compare it with three existing location-scale invariant tests—the Welch test, the James test and the generalized F (GF) test. The Type I error rates and powers of the tests are evaluated using Monte Carlo simulation. Our studies show that the PB test is the best among the four tests with respect to Type I error rates. The PB test performs very satisfactorily even for small samples while the Welch test and the GF test exhibit poor Type I error properties when the sample sizes are small and/or the number of means to be compared is moderate to large. The James test performs better than the Welch test and the GF test. It is also noted that the same tests can be used to test the significance of the random effect variance component in a one-way random model under unequal error variances. Such models are widely used to analyze data from inter-laboratory studies. The methods are illustrated using some examples.     

KJ70N安全监控系统在淮南市小煤矿安全生产中的应用

结合KJ70N的系统组成和主要功能,介绍了该系统在淮南市小煤矿中的应用,并结合淮南市建立的三级煤矿安全监控体系,共同保障淮南市小煤矿的安全生产.     

Effect of deteriorated microstructures on stress corrosion cracking of X70 pipeline steel in acidic soil environment

In order to investigate stress corrosion cracking (SCC) of X70 pipeline steel and its weld joint area in acidic soil environ-ment in China, two simulating methods were used: one was to obtain bad microstructures in heat affected zone by annealing at 1300°C for 10 min and then, quenching in water; the other was to get different simulating solutions of acidic soil in Yingtan in south-east China. The SCC susceptibilities of X70 pipeline steel before and after quenching in the simulating solutions were analyzed...     

高强耐热铝合金2A70-4T6棒材的研制

研究了高强耐热铝合金2A70—4T6棒材的化学成分、挤压工艺、热处理工艺对其组织性能的影响。通过大量的对比试验．确定了最佳的化学成分范围、合理的挤压工艺和热处理工艺制度。研制出多批量大规格2A70—4T6铝合金棒材，满足了用户的需要。     

ER70S-6热变形奥氏体连续冷却转变行为

采用Gleeble-1500热模拟机测定了ER70S-6合金焊线用钢在不同冷速下连续冷却转变的膨胀曲线,结合组织观察,获得了该钢的过冷奥氏体连续冷却转变动态CCT曲线;研究了其连续冷却转变产物的组织形态。试验结果表明,ER70S-6在0.1~20℃/s的冷却速度范围内组织主要由铁素体+珠光体、铁素体+珠光体+贝氏体、铁素体+珠光体+贝氏体+马氏体组成。     

70钢Φ6.5mm线材控冷工艺实践

对邢钢70钢Ф6．5mm线材的控制冷却工艺进行了对比,当开轧温度为1000-1040℃、终轧温度为920—950℃、吐丝温度为875—905℃时,线材的力学性能达到预期效果,索氏体化率达到90％,满足了用户的要求。     

JNX70-2型焦炉炉头倒焦的分析及处理

针对JNX70-2型大容积焦炉炉头倒焦问题进行了分析,提出了改进措施。在保证焦炭质量的前提下通过调整标准温度、调节焦炉煤气掺混比、优化边火道温度等措施,成功解决了炉头倒焦现象,降低了劳动强度,确保了设备稳定运行。