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基于修正模拟退火算法及溢出面积模型的固定边界布图规划 Article

De-xuan ZOU,Gai-ge WANG,Gai PAN,Hong-wei QI

《信息与电子工程前沿（英文）》 2016年第17卷第11期页码 1228-1244 doi: 10.1631/FITEE.1500386

摘要：另外，B*-tree是一种有效的布图规划表示法，它被用来执行MSA的扰动操作。

关键词：固定边界布图规划；修正的模拟退火算法；全局搜索；溢出面积模型；B*-tree表示法

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动态二叉树表示环境的A^*算法及其在足球机器人路径规划中的实现

唐平,杨宜民

《中国工程科学》 2002年第4卷第9期页码 50-53

摘要：

提出采用二叉树表示二维空间的方法，对全局路径规划和局部路径规划进行综合考虑，设计移动机器人在复杂环境下对动态障碍物进行避障的A^*算法。在足球机器人系统中进行仿真，将二叉树动态地表示球场的机器人与目标为对角线的矩型环境，使搜索范围随搜索进程动态地减小，实现了路径规划的整体优化。

关键词：动态二叉树 A^*算法路径规划

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一种观点挖掘新词语权重过程性能分析 Article

SWAMINATHAN,B. SANTHI

《信息与电子工程前沿（英文）》 2016年第17卷第11期页码 1186-1198 doi: 10.1631/FITEE.1500283

摘要：为将词的语义转换为数据并加强对观点挖掘的分析，我们提出了一种新颖的加权方案，称为词权重推测法（inferred word weighting, IWW）。

关键词：词权重推测法；观点挖掘；监督分类法；支持向量机；机器学习

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Kd-tree and quad-tree decompositions for declustering of 2D range queries over uncertain space

Ahmet SAYAR,Süleyman EKEN,Okan ÖZTÜRK

《信息与电子工程前沿（英文）》 2015年第16卷第2期页码 98-108 doi: 10.1631/FITEE.1400165

摘要： We present a study to show the possibility of using two well-known space partitioning and indexing techniques, kd trees and quad trees, in declustering applications to increase input/output (I/O) parallelization and reduce spatial data processing times. This parallelization enables time-consuming computational geometry algorithms to be applied efficiently to big spatial data rendering and querying. The key challenge is how to balance the spatial processing load across a large number of worker nodes, given significant performance heterogeneity in nodes and processing skews in the workload.

关键词： Kd tree Quad tree Space partitioning Spatial indexing Range queries Query optimization

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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

《机械工程前沿（英文）》 2021年第16卷第4期页码 814-828 doi: 10.1007/s11465-021-0650-6

摘要： The fault diagnosis of bearings is crucial in ensuring the reliability of rotating machinery. Deep neural networks have provided unprecedented opportunities to condition monitoring from a new perspective due to the powerful ability in learning fault-related knowledge. However, the inexplicability and low generalization ability of fault diagnosis models still bar them from the application. To address this issue, this paper explores a decision-tree-structured neural network, that is, the deep convolutional tree-inspired network (DCTN), for the hierarchical fault diagnosis of bearings. The proposed model effectively integrates the advantages of convolutional neural network (CNN) and decision tree methods by rebuilding the output decision layer of CNN according to the hierarchical structural characteristics of the decision tree, which is by no means a simple combination of the two models. The proposed DCTN model has unique advantages in 1) the hierarchical structure that can support more accuracy and comprehensive fault diagnosis, 2) the better interpretability of the model output with hierarchical decision making, and 3) more powerful generalization capabilities for the samples across fault severities. The multiclass fault diagnosis case and cross-severity fault diagnosis case are executed on a multicondition aeronautical bearing test rig. Experimental results can fully demonstrate the feasibility and superiority of the proposed method.

关键词： bearing cross-severity fault diagnosis hierarchical fault diagnosis convolutional neural network decision tree

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中国油用牡丹工程的战略思考

李育材

《中国工程科学》 2014年第16卷第10期页码 58-63

摘要：

作为一种原产于我国的多年生小灌木，油用牡丹具有抗性强、适应范围广、产量高和油质好等特点。大力发展油用牡丹对促进我国油料生产、保障粮油安全、改善生态环境、增加农民收入、帮助贫困地区农民脱贫致富等都具有十分重要的意义。本文介绍了发展油用牡丹的重要意义，并通过分析油用牡丹发展中现存的问题，提出了对我国油用牡丹工程发展的建议与思考。

关键词：油用牡丹木本油料工程战略思考

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知识表示中的不确定性

李德毅

《中国工程科学》 2000年第2卷第10期页码 73-79

摘要：

知识表示一直是人工智能研究中的一个瓶颈，其难点在于知识中隐含有不确定性，即模糊性和随机性。文章提出用云模型3个数字特征（期望值，熵，超熵）来描述一个定性概念，用熵来关联模糊性和随机性。代表定性概念的云的某一次定量值，被称为云滴，可以用它对此概念的贡献度来衡量，许许多多云滴构成云，实现定性和定量之间的随时转换，反映了知识表示中的不确定性。

关键词：知识表示定性概念不确定性云模型数宇特征

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Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured

《环境科学与工程前沿（英文）》 2023年第17卷第6期 doi: 10.1007/s11783-023-1667-3

摘要：

● Hybrid deep-learning model is proposed for water quality prediction.

关键词： Water quality prediction Soft-sensor Anaerobic process Tree-structured Parzen Estimator

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Heuristic solution using decision tree model for enhanced XML schema matching of bridge structural calculation

Sang I. PARK, Sang-Ho LEE

《结构与土木工程前沿（英文）》 2020年第14卷第6期页码 1403-1417 doi: 10.1007/s11709-020-0666-8

摘要： Research on the quality of data in a structural calculation document (SCD) is lacking, although the SCD of a bridge is used as an essential reference during the entire lifecycle of the facility. XML Schema matching enables qualitative improvement of the stored data. This study aimed to enhance the applicability of XML Schema matching, which improves the speed and quality of information stored in bridge SCDs. First, the authors proposed a method of reducing the computing time for the schema matching of bridge SCDs. The computing speed of schema matching was increased by 13 to 1800 times by reducing the checking process of the correlations. Second, the authors developed a heuristic solution for selecting the optimal weight factors used in the matching process to maintain a high accuracy by introducing a decision tree. The decision tree model was built using the content elements stored in the SCD, design companies, bridge types, and weight factors as input variables, and the matching accuracy as the target variable. The inverse-calculation method was applied to extract the weight factors from the decision tree model for high-accuracy schema matching results.

关键词： structural calculation document bridge structure XML Schema matching weight factor data mining decision tree model

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An innovative model for predicting the displacement and rotation of column-tree moment connection under

Mohammad Ali NAGHSH, Aydin SHISHEGARAN, Behnam KARAMI, Timon RABCZUK, Arshia SHISHEGARAN, Hamed TAGHAVIZADEH, Mehdi MORADI

《结构与土木工程前沿（英文）》 2021年第15卷第1期页码 194-212 doi: 10.1007/s11709-020-0688-2

摘要： In this study, we carried out nonlinear finite element simulations to predict the performance of a column-tree moment connection (CTMC) under fire and static loads. We also conducted a detailed parameter study based on five input variables, including the applied temperature, number of flange bolts, number of web bolts, length of the beam, and applied static loads. The first variable is changed among seven levels, whereas the other variables are changed among three levels. Employing the Taguchi method for variables 2–5 and their levels, 9 samples were designed for the parameter study, where each sample was exposed to 7 different temperatures yielding 63 outputs. The related variables for each output are imported for the training and testing of different surrogate models. These surrogate models include a multiple linear regression (MLR), multiple Ln equation regression (MLnER), an adaptive network-based fuzzy inference system (ANFIS), and gene expression programming (GEP). 44 samples were used for training randomly while the remaining samples were employed for testing. We show that GEP outperforms MLR, MLnER, and ANFIS. The results indicate that the rotation and deflection of the CTMC depend on the temperature. In addition, the fire resistance increases with a decrease in the beam length; thus, a shorter beam can increase the fire resistance of the building. The numbers of flanges and web bolts slightly affect the rotation and displacement of the CTMCs at temperatures of above 400°C.

关键词： column-tree moment connection Finite element model parametric study fire regression models gene expression programming

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基于稀疏表示的拉普拉斯稀疏字典图像分类 Article

Fang LI, Jia SHENG, San-yuan ZHANG

《信息与电子工程前沿（英文）》 2017年第18卷第11期页码 1795-1805 doi: 10.1631/FITEE.1600039

摘要：稀疏表示作为数据表示的一种数学模型，是解决模式识别、机器学习、计算机视觉等领域问题的有力工具。字典学习是稀疏表示方法的重要组成部分，在对原始信号及其在字典学习空间中的重建误差的最小化上发挥着重要的作用。在稀疏表示模型中，直接利用训练样本作为字典可以取得良好的性能。本文将拉普拉斯权重图加入稀疏表示的模型，并对字典加以范数约束。LSD是一个稀疏的过完备字典，可保持数据的内在结构，并为每个类学习一个更小的字典。学习得到的字典可以嵌入基于稀疏表示的分类框架。将本文提出的方法和其它方法在三个基准的约束人脸数据（Extended Yale B、ORL、AR）和一个无约束的行人数据图像数据库i-LIDS-MA上进行对比实验。结果显示本文提出的LSD算法比当前基于分类的稀疏表示的方法更有优势。

关键词：稀疏表示；拉普拉斯正则子；字典学习；双稀疏；流形

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Salt-assisted synthesis of tree-like oriented SnO

Jinquan SUN, Zifeng YAN, Hongzhi CUI

《化学科学与工程前沿（英文）》 2011年第5卷第2期页码 227-230 doi: 10.1007/s11705-010-0566-x

摘要： Tree-like SnO nanodendrites in large amounts have been prepared through two-step reactions. The nanoparticles used as the precursors have taken aggregation forming tree-like or string of nanodendrtie. The samples were characterized by X-ray diffraction (XRD), transmission electron microscopy (TEM), high-resolution transmission electron microscopy (HRTEM) and energy dispersive spectrometer (EDS), respectively. The results showed that molar ratio of the ethanol/distilled water is an important factor for formation of the different dendrite structures. There are different morphologies between tree-like SnO nanowhiskers and bunch of SnO nanorods. However, they are growing along the .

关键词： crystal morphology nano-structures nanodendrite

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基于分布式表示语义组合的查询子主题挖掘 None

Wei SONG, Ying LIU, Li-zhen LIU, Han-shi WANG

《信息与电子工程前沿（英文）》 2018年第19卷第11期页码 1409-1419 doi: 10.1631/FITEE.1601476

摘要：查询子主题挖掘旨在找到可能的子主题，用于表示给定查询的潜在意图。由于查询较短，子主题挖掘具有挑战性。学习词或句子分布式表示推动和影响了很多领域的发展。然而，没有清晰的结论表明该分布式表示是否有助于应对查询子主题挖掘面临的挑战。提出并比较利用分布式表示的语义组合进行查询子主题挖掘。采用两种分布式表示策略：能学习任意长度文本分布式表示的段落向量（paragraph vector）以及词向量的语义组合。探索了语义组合策略和数据类型对查询表示的影响。Institute of Informatics Testbeds and Community for Information Access Research，NTCIR）提供的公开数据集上的实验结果表明，与传统语义表示相比，分布式语义表示能获得更优查询子主题挖掘性能。

关键词：查询子主题挖掘；查询意图；分布式表示；语义组合

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The secondary laticifer differentiation in rubber tree is induced by trichostatin A, an inhibitor of

Shixin ZHANG,Shaohua WU,Weimin TIAN

《农业科学与工程前沿（英文）》 2016年第3卷第4期页码 357-362 doi: 10.15302/J-FASE-2016125

摘要： The secondary laticifer, a specific tissue in the secondary phloem of rubber tree, is differentiated from the vascular cambia. The number of the secondary laticifer in the trunk bark of rubber tree is positively correlated with rubber yield. Although jasmonates have been demonstrated to be crucial in the regulation of secondary laticifer differentiation, the mechanism for the jasmonate-induced secondary laticifer differentiation remains to be elucidated. By using an experimental morphological technique, the present study revealed that trichostatin A (TSA), an inhibitor of histone deacetylation, could induce the secondary laticifer differentiation in a concentration-dependent manner. The results suggest that histone acetylation is essential for the secondary laticifer differentiation in rubber tree.

关键词： Hevea brasiliensis histone acetylation laticifer differentiation trichostatin vascular cambia