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Towards a self-adaptive service-oriented methodology based on extended SOMA

Alireza PARVIZI-MOSAED,Shahrouz MOAVEN,Jafar HABIBI,Ghazaleh BEIGI,Mahdieh NASER-SHARIAT

《信息与电子工程前沿（英文）》 2015年第16卷第1期页码 43-69 doi: 10.1631/FITEE.1400040

摘要： We propose a self-adaptive process (SAP) that maintains the software architecture quality using the MAPE-K standard model. The proposed process can be plugged into various software development processes and service-oriented methodologies due to its explicitly defined inputs and outputs. To this aim, the proposed SAP is integrated with the service-oriented modeling and application (SOMA) methodology in a two-layered structure to create a novel methodology, named self-adaptive service-oriented architecture methodology (SASOAM), which provides a semi-automatic self-aware method by the composition of architectural tactics. Moreover, the maintenance activity of SOMA is improved using architectural and adaptive patterns, which results in controlling the software architecture quality. The improvement in the maintainability of SOMA is demonstrated by an analytic hierarchy process (AHP) based evaluation method. Furthermore, the proposed method is applied to a case study to represent the feasibility and practicality of SASOAM.

关键词： Quality attribute Adaptation pattern Architectural tactic Service-oriented architecture Self-adaptive process Architectural pattern

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基于ANFIS系统的基结构自适应生成

李旲,胡云昌,曹宏铎

《中国工程科学》 2004年第6卷第10期页码 24-27

摘要：

以形成基结构智能自动生成系统为目标，以并行自适应神经-模糊推理系统（ANFIS）为工具，建立了具有桁架拓扑结构智能自动生成功能的并行ANFIS系统，并将形态化拓扑结构进行抽象数字提取，作为系统的输入输出数据，实质是形成一种桁架结构形态间的映射机制，以样本所蕴涵的结构构成机理，推导所要求的基结构形式。最后的计算结果表明，这里使用的基于ANFIS系统的桁架结构智能自动生成方法是有效的，能够按照用户要求生成合理的桁架基结构拓扑形式。

关键词：桁架 ANFIS 智能自适应

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自适应自动程序设计及其在自动售货机中的应用

余世明,丁国正,刘立峰

《中国工程科学》 2007年第9卷第11期页码 147-150

摘要：

对程序故障的处理，通常可以使用返回值或异常来报告。但当状态模型中的程序出现故障后，使程序仍能回到出现故障处的状态或做进一步的处理，这是返回值或异常做不到的。针对自动处理的实现，提出了采用组合编码和状态冗余设计相结合的自动程序设计思想，给出了它的一个结构模型和算法。模型通过减少程序的状态切换故障（预防）和增加系统的故障恢复能力（治疗）来实现这个目标。最后，将这个设计模型部分成功地应用到自动售货机上，实际运行效果良好。

关键词：自适应状态冗余设计自动程序设计故障恢复自动售货机

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Signal separation technology for diphase opposition giant magnetostrictive self-sensing actuator

Xinhua WANG, Shuwen SUN, Jian ZHEN, Qianyi YA, Deguo WANG,

《机械工程前沿（英文）》 2010年第5卷第2期页码 176-183 doi: 10.1007/s11465-010-0001-5

摘要： The structure and principle of a new type of a diphase opposition giant magnetostrictive self-sensing actuator is introduced. A bridge analysis model based on variable inductance is established. Dynamic balance separation technology for the giant magnetostrictive self-sensing actuator comes true by the least means square (LMS) self-adapting algorithm. The scheme design of one important part of the circuit with the real-time separation circuit of the dynamic balance signal based on a digital signal processor is obtained. The part of the signal separated circuit is designed, which includes logarithmic-antilog practical multiplication circuit, amplifying circuit, filter circuits, and amplifier circuit. Based on the embedded system simulation software—PROTUES, the simulation effect of the circuit that separates the sensing signal from the mixed signals is obvious, which indicates that the circuit can rapidly and stably work. Moreover, the structure is simple, reliable, and meets the practical requirement.

关键词： giant magnetostrictive material (GMM) self-sensing actuator least means square (LMS) self-adapting algorithm design of self-adaptive circuit

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应用指数平滑技术预测边坡位移

沈良峰

《中国工程科学》 2007年第9卷第6期页码 94-97

摘要：

应用趋势型指数平滑模型根据其观测值的数据特点（具线性趋势），选取趋势型二次指数平滑的线性预测公式和相应at，bt的计算公式及合适的平滑系数值进行计算，预测了某市滑坡区５号监测点的位移量。预测结果表明，该方法应用于斜坡变形位移的预测，可使预测值与实际位移值之间的误差很小。

关键词：指数平滑预测边坡位移自适应过滤

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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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一种K自适应的广域网SDN控制器部署方法 Article

Peng XIAO,Zhi-yang LI,Song GUO,Heng QI,Wen-yu QU,Hai-sheng YU

《信息与电子工程前沿（英文）》 2016年第17卷第7期页码 620-633 doi: 10.1631/FITEE.1500350

摘要：软件定义网络（software-defined networking）作为一种新技术框架，正成为未来网络技术的核心。软件定义网络的核心思想就是控制平面和数据平面分离，方便管理和控制编程。虽然软件定义网络已在数据中心这样的局域网中得到了应用和部署，但在更大规模的广域网上部署依然面临着很多问题，如SDN域划分、控制器部署等问题。本文提出了一种基于谱聚类的SDN控制器部署方法，通过此方法能将较大的网络划分成小的SDN域并选择其控制器位置。通过分析模型的矩阵扰动和本征间隙，能够自动得到SDN域个数，以达到较好的划分效果和控制器部署方案。最后，为了验证算法的有效性，本文提出了一个新的实验框架，并基于广域网拓扑结构进行了实验。实验结果表明，该方法能很好的解决SDN域划分和控制器部署问题。

关键词：软件定义网络；控制器部署；K自适应方法

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Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzingelectro chemical machining process

Reza TEIMOURI, Hamed SOHRABPOOR

《机械工程前沿（英文）》 2013年第8卷第4期页码 429-442 doi: 10.1007/s11465-013-0277-3

摘要：

Electrochemical machining process (ECM) is increasing its importance due to some of the specific advantages which can be exploited during machining operation. The process offers several special privileges such as higher machining rate, better accuracy and control, and wider range of materials that can be machined. Contribution of too many predominate parameters in the process, makes its prediction and selection of optimal values really complex, especially while the process is programmized for machining of hard materials. In the present work in order to investigate effects of electrolyte concentration, electrolyte flow rate, applied voltage and feed rate on material removal rate (MRR) and surface roughness (SR) the adaptive neuro-fuzzy inference systems (ANFIS) have been used for creation predictive models based on experimental observations. Then the ANFIS 3D surfaces have been plotted for analyzing effects of process parameters on MRR and SR. Finally, the cuckoo optimization algorithm (COA) was used for selection solutions in which the process reaches maximum material removal rate and minimum surface roughness simultaneously. Results indicated that the ANFIS technique has superiority in modeling of MRR and SR with high prediction accuracy. Also, results obtained while applying of COA have been compared with those derived from confirmatory experiments which validate the applicability and suitability of the proposed techniques in enhancing the performance of ECM process.

关键词： electrochemical machining process (ECM) modeling adaptive neuro-fuzzy inference system (ANFIS) optimization cuckoo optimization algorithm (COA)

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基于自适应置信度校准的交互式医疗图像分割框架

沈楚云,李文浩,徐琪森,胡斌,金博,蔡海滨,朱凤平,李郁欣,王祥丰

《信息与电子工程前沿（英文）》 2023年第24卷第9期页码 1332-1348 doi: 10.1631/FITEE.2200299

摘要：基于人机交互的医疗图像分割方法是一种新的范式，其通过引入专家交互信息来指导算法完成图像分割任务。然而，现有医疗图像分割模型往往容易产生“交互误解”，即无法合理权衡短期和长期交互信息的重要性。为更好地利用不同时间尺度上的交互信息，本文提出一种基于自适应置信度校准的交互式医疗图像分割框架MECCA，其结合了基于分割决策的置信度学习技术和多智能体强化学习技术，并通过预测分割决策与短期交互信息的对齐水平来学习一个新颖的置信度网络。随后，提出一种基于置信度的奖励塑造机制，在策略梯度计算中引入置信度，从而直接纠正模型产生的交互误解。MECCA还通过标签生成和交互指导来降低交互强度和难度，从而实现用户友好交互。实验结果表明，MECCA在不同分割任务中可以显著提高短期和长期交互信息的利用效率，且仅需较少的标注样本。演示视频可通过https://bit.ly/mecca-demo-video访问。

关键词：医疗图像分割交互式分割多智能体强化学习置信度学习半监督学习

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Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

《机械工程前沿（英文）》 2010年第5卷第2期页码 149-156 doi: 10.1007/s11465-010-0008-y

摘要： With the automation development of manufacturing processes, artificial intelligence technology has been gradually employed to increase the automation and intelligence degree in quality control using statistical process control (SPC) method. In this paper, an SPC method based on a fuzzy adaptive resonance theory (ART) neural network is presented. The fuzzy ART neural network is applied to recognize the special disturbance of the manufacturing processes based on the classification on the histograms, which shows that the fuzzy ART neural network can adaptively learn the features of the histograms of the quality parameters in manufacturing processes. As a result, the special disturbance can be automatically detected when a feature of the special disturbance starts to appear in the histograms. At the same time, combined with spectrum analysis of the autoregressive model of quality parameters, the fuzzy ART neural network can also be utilized to adaptively detect the abnormal patterns in the control chart.

关键词： statistical process control (SPC) fuzzy adaptive resonance theory (ART) histogram control chart time series analysis

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一种基于制造大数据的产品工艺自适应设计方法

魏巍,陈政,袁君

《中国工程科学》 2020年第22卷第4期页码 42-49 doi: 10.15302/J-SSCAE-2020.04.017

摘要：

随着数字化与智能化生产方式在制造业中的广泛应用，引导企业重视并发挥制造大数据的价值对革新产品工艺设计具有重要意义。本文旨在面向企业数据与业务深度融合的应用需求，提出一种基于制造大数据挖掘的产品工艺自适应设计应用方法，用于解决企业中制造数据利用率不足等问题。以企业制造数据为起点，提出了“数据 + 知识 + 决策”的产品工艺自适应设计模式，总结了该模式的制造数据挖掘与利用流程，涵盖多源异构数据融合、数据清洗与预处理、数据变换与降维、数据挖掘、数据可视化和设计决策6个过程。最后以汽车产品焊接工艺为例，建立焊接工艺参数与焊接缺陷的预测模型，用于改善焊接工艺并提高焊接质量，实现制造大数据驱动的焊接工艺自适应设计。研究表明，制造大数据蕴含丰富的知识与模式，可以指导产品设计决策，支持实现不同制造环境下的产品工艺自适应设计；建议进一步推动大数据与第五代移动通信技术等新兴技术的结合，增加对大数据平台、算法设计平台研发的投入，激发制造大数据与产品工艺设计的更大交融。

关键词：产品工艺，自适应设计，制造大数据，数据挖掘，知识发现

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融合自监督图学习与目标自适应屏蔽的会话型推荐方法 Research Article

王祎童,蔡飞,潘志强,宋城宇

《信息与电子工程前沿（英文）》 2023年第24卷第1期页码 73-87 doi: 10.1631/FITEE.2200137

摘要：会话型推荐旨在根据用户在短时间内有限的交互来预测下一个时间戳将要进行交互的物品。现有模型主要使用循环神经网络（RNN）或图神经网络（GNN）来建模顺序序列或物品之间的传递关系。然而，此类模型要么忽略了GNN的过度平滑问题，要么直接利用交叉熵损失和softmax层进行模型优化，容易导致过拟合问题。为了解决上述问题，本文提出一种融合自监督图学习与目标自适应屏蔽的会话型推荐方法(SGL-TM)。具体来说，首先根据所有涉及到的会话构建全局图，然后从物品之间的全局连接中捕捉自监督信号，用来监督模型生成当前会话中准确的物品表示。之后，通过比较真值与经过我们设计的目标自适应屏蔽模块调整后的物品的预测分数来计算主监督损失。最后，将主监督组件与辅助自监督模块相结合，以获得用来优化模型参数的最终损失。在两个真实数据集（Gowalla和Diginetica）上的大量实验结果表明，SGL-TM在Recall@20和MRR@20方面的性能优于最先进的基准模型，尤其体现在短会话上。

关键词：会话型推荐；自监督学习；图神经网络；目标自适应屏蔽

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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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Terrain classification and adaptive locomotion for a hexapod robot Qingzhui

Yue ZHAO, Feng GAO, Qiao SUN, Yunpeng YIN

《机械工程前沿（英文）》 2021年第16卷第2期页码 271-284 doi: 10.1007/s11465-020-0623-1

摘要： Legged robots have potential advantages in mobility compared with wheeled robots in outdoor environments. The knowledge of various ground properties and adaptive locomotion based on different surface materials plays an important role in improving the stability of legged robots. A terrain classification and adaptive locomotion method for a hexapod robot named Qingzhui is proposed in this paper. First, a force-based terrain classification method is suggested. Ground contact force is calculated by collecting joint torques and inertial measurement unit information. Ground substrates are classified with the feature vector extracted from the collected data using the support vector machine algorithm. Then, an adaptive locomotion on different ground properties is proposed. The dynamic alternating tripod trotting gait is developed to control the robot, and the parameters of active compliance control change with the terrain. Finally, the method is integrated on a hexapod robot and tested by real experiments. Our method is shown effective for the hexapod robot to walk on concrete, wood, grass, and foam. The strategies and experimental results can be a valuable reference for other legged robots applied in outdoor environments.

关键词： terrain classification hexapod robot legged robot adaptive locomotion gait control

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Conservation and adaptive-reuse of historical industrial building in China in the post-industrial era

WANG Jianguo, JIANG Nan

《结构与土木工程前沿（英文）》 2007年第1卷第4期页码 474-480 doi: 10.1007/s11709-007-0064-5

摘要： The conservation and adaptive-reuse of historical industrial building is one of the most important issues to be solved in today s urban development and construction in China. In this paper, the necessity and academic meaning of the conservation and adaptive-reuse of historical industrial building were discussed by reviewing its development rend both at home and abroad, and the basic contents of the implementation of the conservation and adaptive-reuse of historical industrial building in China with specific cases provided were analyzed. It is the central task for China to put forward the restructuring and design methods, assessment principles and relevant core technical specifications based on the empirical researches on the historical industrial building and site.

关键词： historical industrial industrial building implementation adaptive-reuse empirical