摘要： Ready-to-use sensing probes have been used to develop a rapid-production, low-cost, fast and sensitive electronic tongue, which consists of electric double-layer microfluidic capacitors. Pencil graphite cores consisting of rough flake-graphite with various ratios of graphite, clay and wax assured differential interactions towards pattern recognition applications.

关键词： Indoor positioning   pedestrian dead reckoning   microelectromechanical sensor   frequency modulation   pattern recognition  

摘要： Accurate indoor pedestrian positioning has attracted extensive research attention along with the rising popularity of indoor location-based service. Among the indoor positioning methods, pedestrian dead reckoning (PDR) stands out for requiring neither expensive infrastructure nor laborious site survey. However, with time going on, the PDR method suffers from error accumulation problem, whereas the major cause of positioning error is usually heading deviation. To tackle the error-drifting problem, a real-time indoor PDR system using inertial sensors and the frequency-modulated radio receiver is designed in this paper. First, a random forest classifier combining frequency-modulated radio signal and inertial sensor signal is devised to achieve real-time identification of straight-line and turning mode of moving. Based on the classification result, the constraint is applied to headings in straight periods and true headings are extracted from accelerometer and magnetometer measurements to reduce heading deviation in straight periods. Field experiments have been conducted at three sites in two office buildings to evaluate the performance of the proposed system. The experimental results indicate error drifting can be effectively constrained by the proposed PDR system.

关键词： Anions   Ligands   Genetics   Chemical structure   Nucleic acid structure  

摘要： Conformational changes in RNA play vital roles in the regulation of many biological systems, yet these changes can be challenging to visualize. Previously, we demonstrated that Pattern Recognition of RNA by Small Molecules (PRRSM) can unbiasedly cluster defined RNA secondary structure motifs utilizing an aminoglycoside receptor library. In this work, we demonstrate the power of this method to visualize changes in folding at the secondary structure level within two distinct riboswitch structures. After labeling at three independent positions on each riboswitch, PRRSM accurately classified all apo and ligand-bound riboswitch structures, including changes in the size of a structural motif, and revealed modification sites that prevented folding and/or led to a mixture of states. These data underscore the utility and robustness of the PRRSM assay for rapid assessment of RNA structural changes and for gaining ready insight into nucleotide positions critical to RNA folding.

关键词： Asphalt pavement   cracking   evaluation   pattern recognition   falling weight deflectometer  

摘要： Selection of optimal treatment strategy for a cracked asphalt pavement requires efficient evaluation of cracking. Pavement cracking severity was usually evaluated just by crack width in the past. In this paper, a novel method for extracting both crack type and crack width information in asphalt pavement with chemically stabilised base course from falling weight deflectometer (FWD) test data based on k-nearest neighbour (k-NN) pattern recognition was put forward. FWD field tests and core drilling tests were conducted at cracks on four typical expressways and a database with 215 deflection basins was established. Three feature sets were selected or extracted from each deflection basin as inputs. And, cracks were categorised into six classes based on crack type and crack width as target outputs. Results indicated that most cracks with high width level were thermal cracks and it was of great importance to consider both crack type and width in cracking evaluation in asphalt pavement with chemically stabilised base. Considering the classification accuracy and the convenience of test, crack was advised to be located between sensor S-300 and sensor S-600 in FWD field test. Deflection ratio feature set was recommended as inputs of the k-NN classifier.

关键词： aptamers   single-stranded DNA   nucleic acid ligands   secondary structure  

摘要： In contrast to sophisticated high-throughput sequencing tools for genomic DNA, analytical tools for comparing secondary structure features between multiple single-stranded DNA sequences are less developed. For single-stranded nucleic acid ligands called aptamers, secondary structure is widely thought to play a pivotal role in driving recognition-based binding activity between an aptamer sequence and its specific target. Here, we employ a competition-based aptamer screening platform called CompELS to identify DNA aptamers for a colloidal target. We then analyze predicted secondary structures of the aptamers and a large population of random sequences to identify sequence features and patterns. Our secondary structure analysis identifies patterns ranging from position-dependent score matrixes of individual structural elements to position-independent consensus domains resulting from global alignment.

关键词： 蚁群聚类算法   离心式压缩机   故障诊断   频域分析   模式识别  

摘要： 工业化生产水平的提高使得离心式压缩机不断朝着大型化、复杂化、连续化及自动化方向发展,设备故障造成的损失越来越大,研究其故障诊断方法对于提高设备故障在线检测能力、预防故障与事故的发生具有积极意义。采用电涡流传感器测量离心式压缩机联轴节侧径向位移信号,应用频域分析方法对采集到的信号数据进行傅里叶变换,获得对故障敏感的特征量,作为蚁群聚类算法输入的特征参数,将对故障识别转化成对于设备运行时的输出和状态特征的聚类问题。将蚁群聚类算法应用于某乙烯厂的离心式压缩机,对其正常运行、转子不平衡故障、油膜涡动故障、喘振故障4种状态进行模式识别。应用结果表明:基于蚁群聚类算法的离心式压缩机故障诊断方法诊断结果准确、识别率高。(表3,参20)

关键词： OCR技术   模式识别   标准信息服务   元数据   系统平台  

摘要： 介绍了基于模式识别技术的标准文献元数据智能提取系统,分析了目前标准相关机构对标准文献加工效率质量亟需提高的需求,提出采用文字提取和模式识别技术采集、分析纸质标准元数据,进行信息化存储并形成相应标准模式的方法,可进一步优化标准文献加工效率和质量。

关键词： OpenCV   路径检测   模式识别  

摘要： 本文研究了扫地机器人的清扫路径检测与清扫模式识别,对图像进行矫正,降噪等预处理,利用背景减除法识别扫地机器人所在区域,实现对扫地机器人清扫路径的采集,并根据清扫路径进行清扫模式的识别。实验结果显示此方法可有效实现实时对扫地机器人清扫路径检测及清扫模式识别。

关键词： WHRS   ORC   boiler   infrared thermography  

摘要： Waste heat dissipated in the exhaust system in a combustion engine represents a major source of energy to be recovered and converted into useful work. A waste heat recovery system (WHRS) based on an Organic Rankine Cycle (ORC) is a promising approach, and it gained interest in the last few years in an automotive industry interested in reducing fuel consumption and exhaust emissions. Understanding the thermodynamic response of the boiler employed in an ORC plays an important role in steam cycle performance prediction and control system design. The aim of this study is, therefore, to present a methodology to study these devices by means of pattern recognition with infrared thermography. In addition, the experimental test bench and its operating conditions are described. The methodology proposed identifies the wall coordinates, traces the paths, and tracks the wall temperature along them in a way that can be exported for subsequent post-processing and analysis. As for the results, through the wall temperature paths on both sides (exhaust gas and working fluid), it was possible to quantitatively estimate the temperature evolution along the boiler and, in particular, the beginning and end of evaporation.

关键词： 重度颅脑损伤   模式识别   主成分分析   逻辑回归   机器学习  

摘要： 目的探索主成分分析(principal component analysis,PCA)-逻辑回归模型在颅脑损伤患者临床死亡预测建模中的应用,以及影响临床预后的病理生理模式和重要风险因素。方法收集2011—2017年四川省人民医院创伤中心数据库符合研究标准的108例颅脑损伤患者的临床资料,建立PCA-逻辑回归模型,应用ROC评估模型预测效果,验证死亡结局模型的预测效能。结果 PCA-逻辑回归模型分析结果显示,影响患者死亡结局的分别为第1、第8、第11及12主成分。计算出的指标系数对应的临床指标与措施具有较大影响力的因素,分别为开放性颅脑损伤、凝血改变、气管切开、脑干伤、血肿量、感染性并发症、糖皮质激素、肠内营养时间及舒张压。经ROC曲线评估PCA-逻辑回归模型,死亡结局模型具有较高的预测效能(灵敏度:92. 3%,特异度:93. 7%,AUC:0. 983)。结论 PCA-逻辑回归分析方法可以有效地挖掘颅脑损伤患者伤后的临床变量,建立其临床死亡预测模型。严重颅脑损伤后出现的血流灌注不足可能是影响患者生存的重要病理生理模式。