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Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units

《化学科学与工程前沿（英文）》 2023年第17卷第6期页码 759-771 doi: 10.1007/s11705-022-2269-5

摘要： This work introduces a deep-learning network, i.e., multi-input self-organizing-map ResNet (MISR), for modeling refining units comprised of two reactors and a separation train. The model is comprised of self-organizing-map and the neural network parts. The self-organizing-map part maps the input data into multiple two-dimensional planes and sends them to the neural network part. In the neural network part, residual blocks enhance the convergence and accuracy, ensuring that the structure will not be overfitted easily. Development of the MISR model of hydrocracking unit also benefits from the utilization of prior knowledge of the importance of the input variables for predicting properties of the products. The results show that the proposed MISR structure predicts more accurately the product yields and properties than the previously introduced self-organizing-map convolutional neural network model, thus leading to more accurate optimization of the hydrocracker operation. Moreover, the MISR model has smoother error convergence than the previous model. Optimal operating conditions have been determined via multi-round-particle-swarm and differential evolution algorithms. Numerical experiments show that the MISR model is suitable for modeling nonlinear conversion units which are often encountered in refining and petrochemical plants.

关键词： hydrocracking convolutional neural networks self-organizing map deep learning data-driven optimization

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Self-organizing method for collaboration in multi-robot system on basis of balance principle

DONG Yangbin, JIANG Jinping, HE Yan

《机械工程前沿（英文）》 2008年第3卷第3期页码 283-287 doi: 10.1007/s11465-008-0044-z

摘要： By analyzing the operation characteristics of two subtasks that have resource dependency on each other, this paper demonstrates the impact of progress relation between the two subtasks on the whole task’s progress, and then puts forward a self-organizing principle called balance principle that keeps the individual profit between robots equal. Furthermore, an algorithm is designed for adjusting subtask selection on the basis of this principle. Simulation shows the validity of the algorithm on self-organizing task allocation in a multi-robot system.

关键词： algorithm self-organizing principle validity Simulation allocation

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Visualization of amino acid composition differences between processed protein from different animal species by self-organizing

Xingfan ZHOU,Zengling YANG,Longjian CHEN,Lujia HAN

《农业科学与工程前沿（英文）》 2016年第3卷第2期页码 171-179 doi: 10.15302/J-FASE-2016095

摘要： Amino acids are the dominant organic components of processed animal proteins, however there has been limited investigation of differences in their composition between various protein sources. Information on these differences will not only be helpful for their further utilization but also provide fundamental information for developing species-specific identification methods. In this study, self-organizing feature maps (SOFM) were used to visualize amino acid composition of fish meal, and meat and bone meal (MBM) produced from poultry, ruminants and swine. SOFM display the similarities and differences in amino acid composition between protein sources and effectively improve data transparency. Amino acid composition was shown to be useful for distinguishing fish meal from MBM due to their large concentration differences between glycine, lysine and proline. However, the amino acid composition of the three MBMs was quite similar. The SOFM results were consistent with those obtained by analysis of variance and principal component analysis but more straightforward. SOFM was shown to have a robust sample linkage capacity and to be able to act as a powerful means to link different sample for further data mining.

关键词： self-organizing feature maps visualization processed animal proteins (PAPs) amino acid

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基于自组织映射的增材制造中数据驱动式微观组织和显微硬度设计 Article

甘政涛, 李恒阳, Sarah J. Wolff, Jennifer L. Bennett, Gregory Hyatt, Gregory J. Wagner, 曹简, Wing Kam Liu

《工程（英文）》 2019年第5卷第4期页码 730-735 doi: 10.1016/j.eng.2019.03.014

摘要：

为了在镍基高温合金的增材制造（AM）中设计微观组织和显微硬度，本研究提出了一种新的数据驱动方法，该方法结合了物理模型、实验测量和数据挖掘方法。该模拟基于计算热流体动力学（CtFD）模型，可以获得热行为、凝固参数（如冷却速度）和凝固层的稀释率。根据计算出的热信息，可利用经过充分测试的力学模型估算枝晶臂间距和显微硬度。通过实验测定试样的微观结构和显微硬度，与模拟值进行比较验证。为了实现过程-组织-性能（PSP）关系的可视化，模拟及实验数据集被输入到数据挖掘模型——自组织映射（SOM）中。在多目标下，工艺参数的设计窗口可以从可视化映射中得到。这种被提出的方法可用于AM和其他数据密集型工艺过程。过程、组织和性能之间的数据驱动联系可能会有利于在线过程监控控制，从而获得理想的微观组织和力学性能。

关键词：增材制造数据科学多重物理建模自组织映射微观结构显微硬度镍基高温合金

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考虑跟随行为的行人自组织运动仿真模型 Article

Zhilu YUAN, Hongfei JIA, Mingjun LIAO, Linfeng ZHANG, Yixiong FENG, Guangdong TIAN

《信息与电子工程前沿（英文）》 2017年第18卷第8期页码 1142-1150 doi: 10.1631/FITEE.1601592

摘要：在本文中一种新的力学模型被引入到社会力模型中，用来仿真相向行人流中的跟随行为。这种跟随行为指的是行人通过接近同向行人以避免与反向行人冲突的行为。新的力学模型类似于一种引力模型，在建模过程中考虑了行人的视野范围、自身的运动状态、被跟随行人的运动状态等因素。我们利用新的力学模型对相向行人流进行了仿真，研究了跟随行为对渠化现象、行人间冲突以及双向通道通行效率的影响。仿真结果表明：跟随行为能促进渠化现象形成，并能起到缓解相向行人流拥堵的作用；跟随行为具有降低相向行人流冲突次数的作用，这种作用在入口流量较低时并不明显，但随着行人流量的升高而增强。跟随行为能够提高双向通道的通行效率，并且跟随行为的强度参数越大通道的通行效率越高。

关键词：引力模型；相向行人流；社会力模型；渠化现象；自组织行为

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基于自组织神经网络的建筑市场执业资格人员信用分类研究

范志清,王雪青,李宝龙

《中国工程科学》 2011年第13卷第9期页码 105-108

摘要：

利用自组织神经网络技术，结合建筑市场执业资格人员信用的相关特点，研究了网络中神经元个数的确定、训练步数、网络维数、获胜神经元的领域等对网络结构和执业资格人员信用划分类别的影响，给出了执业资格人员信用分类的网络构造思想和神经网络结构，并以被调查的执业资格人员为例进行了实证研究。研究结果表明，该方法简便、易行，适用于执业资格人员信用分类研究，为开展执业资格人员信用管理奠定了良好的理论方法基础。

关键词：执业资格人员信用聚类分析自组织神经网络

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运用自组织竞争网络进行气体定性分析的研究

太惠玲,谢光忠,蒋亚东

《中国工程科学》 2006年第8卷第1期页码 81-84

摘要：

优选了分析H₂，CO气体的半导体气体传感器组成阵列，建立了实时数据采集系统，并与自组织竞争网络模式识别技术相结合，以进行气体定性分析的研究；同时为了消除气体浓度变化对传感器阵列输出的影响，提高自组织网络的识别效果，运用三种不同的数据归一化算法对传感器阵列的输出响应进行了预处理，并对各自对应的网络识别结果进行了分析与讨论。实验结果表明，采用相对算法可实现H₂，CO气体的准确识别。

关键词：气体传感器阵列自组织竞争网络定性分析

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基于AUV初始方向角和海流环境的SOM任务分配算法 Special Feature on Intelligent Robats

Da-qi ZHU, Yun QU, Simon X. YANG

《信息与电子工程前沿（英文）》 2019年第20卷第3期页码 330-341 doi: 10.1631/FITEE.1800562

摘要：实际水下环境存在海流。本文针对多自治机器人任务分配系统提出一个改进的自组织神经网络算法。该算法充分考虑自治水下机器人初始方向角和海流环境。每个自治水下机器人都参与竞争。选出实际航行路径最短的自治水下机器人作为获胜神经元，同时确保总航行路径最短。首先，初始化每个自治水下机器人的位置与方向角以及海流流速与方向。其次，通过竞争，选择海流环境下最短航行路径的水下机器人作为获胜神经元，并将该获胜神经元分配给相应目标点。为证明该算法有效性，给出相应仿真结果。

关键词：自治水下机器人；自组织神经网络；初始方向角；海流

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李心雨：基于Self-X认知制造网络实现认知大规模个性化定制：一种工业知识图谱及图嵌入技术使能的途径（2023年5月30日）

2023年06月13日

关键词：智能制造

A bacterial artificial chromosome-based physical map of

Yuhua FU,Zhiqiang XIA,Shujuan WANG,Xin CHEN,Cheng LU,Mingcheng LUO,Hongbin ZHANG,Wenquan WANG

《农业科学与工程前沿（英文）》 2016年第3卷第4期页码 321-329 doi: 10.15302/J-FASE-2016124

摘要： Cassava ( ) is known as the third most important food crop in the tropics and also used for industrial feedstock for biofuels. Two new bacterial artificial chromosome (BAC) libraries were constructed for W14 ( ssp. ), a wild ancestor of domesticated cassava. The libraries were constructed with RI and dIII insertion vectors, respectively. The RI library has 29952 clones with an average insert size of 115 kb, while the dIII library consists of 29952 clones with an average insert of 129 kb. The combined libraries contain a total of 59904 clones with an average insert size of 125 kb, representing approximately 10 × haploid genome equivalents. A total of 29952 clones were fingerprinted and resulted in a cassava physical map composed of 2485 contigs with an average physical length of 336 kb and 2909 singletons, representing approximately 762 Mb of the cassava genome. 5000 clones located at the ends of BAC contigs were selected and sequenced. A total of 6077 SNPs and 231 indels were identified, that covered 459 gene sequences, of which 6 genes were associated with starch and sucrose metabolism. This BAC-based physical map provides valuable tools to understand the genetics and evolution of cassava.

关键词： cassava BAC library physical map

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自动驾驶地图有关政策的思考和建议

刘经南,董杨,詹骄,高柯夫

《中国工程科学》 2019年第21卷第3期页码 92-97 doi: 10.15302/J-SSCAE-2019.03.004

摘要：

自动驾驶地图作为实现汽车自动驾驶的关键基础设施，对于推动我国自动驾驶领域的商业化开发至关重要。现阶段，我国受地图测绘、应用和监管等相关法律法规的制度掣肘，在自动驾驶地图的产业化进程方面相对滞后。为此，本文着重分析了我国在自动驾驶地图开发、应用和管理中面临的主要政策法规问题：自动驾驶地图是否需加密的问题、自动驾驶地图部分地理信息表达受限的问题、自动驾驶地图地理信息采集资质和审图流程的问题、自动驾驶地图事故责任和保险问题、自动驾驶地图相关测试规范和测试场景问题。同时结合国内外自动驾驶领域的发展趋势，给出加快我国自动驾驶汽车开发和商业化进程的四点建议：制定自动驾驶地图管理模式、允许自动驾驶地图应用试点及有序开放、适当放开企业权限及优化审核流程、建立国家级自动驾驶地图平台。

关键词：自动驾驶地图自动驾驶法规自动驾驶政策

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用航空航天影像更新地形图地物要素的栅格化方法

林宗坚

《中国工程科学》 2000年第2卷第4期页码 43-47

摘要：

文章针对当前我国1:5和1:1万地形图更新的大规模生产的迫切需求，提出在原有地形图栅格式数字化的基础上，叠加经过精密纠正配准的航空或卫星遥感影像，以栅格方式更新地物要素的全过程方法。文中特别阐述了：1）地形图栅格数字化不同于矢量数字化的扫描采样分辨率问题；2）区别于传统的“针孔式”控制点概念的图像图形阵列控制点技术；3）由于DEM（数字高程模型）数据缺乏或精度不足引起的航空航天影像与地形图图形配准误差的局部纠正方法；4）定性指导定量的影像判读方法；5）从遥感影像提取地物结构信息的半自动化方法。文章最后列出

关键词：测绘遥感地形图更新数字栅格地图

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基于自适应采样的鲁棒精确最优传输映射 Research Articles

王应时1,郑晓朋2,陈伟2,3,齐鑫4,任玉雪3,雷娜2,3,顾险峰4

《信息与电子工程前沿（英文）》 2021年第22卷第9期页码 1207-1220 doi: 10.1631/FITEE.2000250

摘要：最优传输在工程、医疗等各领域扮演着重要角色，包括图形学中的曲面参数化、计算机视觉中的注册、深度学习中的生成模型等。对于平方距离传输成本，最优传输映射是Brenier势的梯度，可通过求解Monge-Ampère方程得到。此外，最优传输映射可归结为几何凸优化问题。Monge-Ampère方程高度非线性，在求解过程中，中间解需要始终保持严格凸。特别地，离散解的精确性严重依赖于目标测度的采样。因此，提出一种自适应采样算法，极大减少采样偏差，同时提高离散解的精确性和鲁棒性。实验结果验证了所提算法的有效性和高效性。

关键词：最优传输；Monge-Ampère方程；自适应采样

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Exploring self-organization and self-adaption for smart manufacturing complex networks

《工程管理前沿（英文）》 2023年第10卷第2期页码 206-222 doi: 10.1007/s42524-022-0225-1

摘要： Trends toward the globalization of the manufacturing industry and the increasing demands for small-batch, short-cycle, and highly customized products result in complexities and fluctuations in both external and internal manufacturing environments, which poses great challenges to manufacturing enterprises. Fortunately, recent advances in the Industrial Internet of Things (IIoT) and the widespread use of embedded processors and sensors in factories enable collecting real-time manufacturing status data and building cyber–physical systems for smart, flexible, and resilient manufacturing systems. In this context, this paper investigates the mechanisms and methodology of self-organization and self-adaption to tackle exceptions and disturbances in discrete manufacturing processes. Specifically, a general model of smart manufacturing complex networks is constructed using scale-free networks to interconnect heterogeneous manufacturing resources represented by network vertices at multiple levels. Moreover, the capabilities of physical manufacturing resources are encapsulated into virtual manufacturing services using cloud technology, which can be added to or removed from the networks in a plug-and-play manner. Materials, information, and financial assets are passed through interactive links across the networks. Subsequently, analytical target cascading is used to formulate the processes of self-organizing optimal configuration and self-adaptive collaborative control for multilevel key manufacturing resources while particle swarm optimization is used to solve local problems on network vertices. Consequently, an industrial case based on a Chinese engine factory demonstrates the feasibility and efficiency of the proposed model and method in handling typical exceptions. The simulation results show that the proposed mechanism and method outperform the event-triggered rescheduling method, reducing manufacturing cost, manufacturing time, waiting time, and energy consumption, with reasonable computational time. This work potentially enables managers and practitioners to implement active perception, active response, self-organization, and self-adaption solutions in discrete manufacturing enterprises.

关键词： cyber–physical systems Industrial Internet of Things smart manufacturing complex networks self-organization and self-adaption analytical target cascading collaborative optimization

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Optimization of process parameters for mature landfill leachate pretreatment using MAP precipitation

Wei LI, Xiaowen DING, Min LIU, Yuewen GUO, Lei LIU

《环境科学与工程前沿（英文）》 2012年第6卷第6期页码 892-900 doi: 10.1007/s11783-012-0440-9

摘要： Chemical precipitation is a useful technology as a pretreatment to treat mature landfill leachate with high concentrations of ammonium-nitrogen ( ) and refractory organic compounds. Orthogonal experiments and factorial experiments were carried out to determine the optimal conditions enhancing the magnesium ammonium phosphate (MAP) precipitation process, and the experimental results demonstrated that the removal rate of was more than 85% when MgO and NaH PO ·2H O were applied as external sources of magnesium and phosphorous under the optimal conditions that molar ratio n(Mg)∶n(N)∶n(P) = 1.4∶1∶0.8, reaction time 60 min, original pH of leachate and settling time 30 min. In the precipitation process, pH could be maintained at the optimal range of 8–9.5 because MgO could release hydroxide ions to consume hydrogen ions. Calcium ions and carbonate ions existed in the leachate could affect the precipitation process, which resulted in the decrease of removal efficiency. The residues of MAP sediments decomposed by heating under alkaline conditions can be reused as the sources of phosphorous and magnesium for the removal of high concentrations of , and up to 90% of ammonium could be released under molar ratio of n[OH]∶n[MAP] = 2.5∶1, heating temperature 90°C and heating time 2h.

关键词： magnesium ammonium phosphate precipitation mature landfill leachate optimization ammonium-nitrogen