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A neural network-based production process modeling and variable importance analysis approach in corn

《化学科学与工程前沿（英文）》 2023年 第17卷 第3期   页码 358-371 doi: 10.1007/s11705-022-2190-y

摘要： Corn to sugar process has long faced the risks of high energy consumption and thin profits. However, it’s hard to upgrade or optimize the process based on mechanism unit operation models due to the high complexity of the related processes. Big data technology provides a promising solution as its ability to turn huge amounts of data into insights for operational decisions. In this paper, a neural network-based production process modeling and variable importance analysis approach is proposed for corn to sugar processes, which contains data preprocessing, dimensionality reduction, multilayer perceptron/convolutional neural network/recurrent neural network based modeling and extended weights connection method. In the established model, dextrose equivalent value is selected as the output, and 654 sites from the DCS system are selected as the inputs. LASSO analysis is first applied to reduce the data dimension to 155, then the inputs are dimensionalized to 50 by means of genetic algorithm optimization. Ultimately, variable importance analysis is carried out by the extended weight connection method, and 20 of the most important sites are selected for each neural network. The results indicate that the multilayer perceptron and recurrent neural network models have a relative error of less than 0.1%, which have a better prediction result than other models, and the 20 most important sites selected have better explicable performance. The major contributions derived from this work are of significant aid in process simulation model with high accuracy and process optimization based on the selected most important sites to maintain high quality and stable production for corn to sugar processes.

关键词： big data     corn to sugar factory     neural network     variable importance analysis    

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A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

《机械工程前沿（英文）》 2023年 第18卷 第2期 doi: 10.1007/s11465-022-0736-9

摘要： Recently, advanced sensing techniques ensure a large number of multivariate sensing data for intelligent fault diagnosis of machines. Given the advantage of obtaining accurate diagnosis results, multi-sensor fusion has long been studied in the fault diagnosis field. However, existing studies suffer from two weaknesses. First, the relations of multiple sensors are either neglected or calculated only to improve the diagnostic accuracy of fault types. Second, the localization for multi-source faults is seldom investigated, although locating the anomaly variable over multivariate sensing data for certain types of faults is desirable. This article attempts to overcome the above weaknesses by proposing a global method to recognize fault types and localize fault sources with the help of multi-sensor relations (MSRs). First, an MSR model is developed to learn MSRs automatically and further obtain fault recognition results. Second, centrality measures are employed to analyze the MSR graphs learned by the MSR model, and fault sources are therefore determined. The proposed method is demonstrated by experiments on an induction motor and a centrifugal pump. Results show the proposed method’s validity in diagnosing fault types and sources.

关键词： fault recognition     fault localization     multi-sensor relations     network analysis     graph neural network    

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Cross-sectional network analysis of plasma proteins/metabolites correlated with pathogenesis and therapeutic

《医学前沿（英文）》 doi: 10.1007/s11684-023-1022-x

摘要： The treatment of PML/RARA+ acute promyelocytic leukemia (APL) with all-trans-retinoic acid and arsenic trioxide (ATRA/ATO) has been recognized as a model for translational medicine research. Though an altered microenvironment is a general cancer hallmark, how APL blasts shape their plasma composition is poorly understood. Here, we reported a cross-sectional correlation network to interpret multilayered datasets on clinical parameters, proteomes, and metabolomes of paired plasma samples from patients with APL before or after ATRA/ATO induction therapy. Our study revealed the two prominent features of the APL plasma, suggesting a possible involvement of APL blasts in modulating plasma composition. One was characterized by altered secretory protein and metabolite profiles correlating with heightened proliferation and energy consumption in APL blasts, and the other featured APL plasma-enriched proteins or enzymes catalyzing plasma-altered metabolites that were potential trans-regulatory targets of PML/RARA. Furthermore, results indicated heightened interferon-gamma signaling characterizing a tumor-suppressing function of the immune system at the first hematological complete remission stage, which likely resulted from therapy-induced cell death or senescence and ensuing supraphysiological levels of intracellular proteins. Overall, our work sheds new light on the pathophysiology and treatment of APL and provides an information-rich reference data cohort for the exploratory and translational study of leukemia microenvironment.

关键词： acute promyelocytic leukemia     plasma proteomics     plasma metabolomics     cross-sectional correlation network     pathogenesis     treatment    

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A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

《化学科学与工程前沿（英文）》 2017年 第11卷 第3期   页码 414-428 doi: 10.1007/s11705-017-1663-x

摘要： Root cause analysis (RCA) of abnormal aluminum electrolysis cell condition has long been a challenging industrial issue due to its inherent complexity in analyzing based on multi-source knowledge. In addition, accurate RCA of abnormal aluminum electrolysis cell condition is the precondition of improving current efficiency. RCA of abnormal condition is a complex work of multi-source knowledge fusion, which is difficult to ensure the RCA accuracy of abnormal cell condition because of dwindling and frequent flow of experienced technicians. In view of this, a method based on Fuzzy-Bayesian network to construct multi-source knowledge solidification reasoning model is proposed. The method can effectively fuse and solidify the knowledge, which is used to analyze the cause of abnormal condition by technicians providing a clear and intuitive framework to this complex task, and also achieve the result of root cause automatically. The proposed method was verified under 20 sets of abnormal cell conditions, and implements root cause analysis by finding the abnormal state of root node, which has a maximum posterior probability by Bayesian diagnosis reasoning. The accuracy of the test results is up to 95%, which shows that the knowledge reasoning feasibility for RCA of aluminum electrolysis cell.

关键词： abnormal aluminum electrolysis cell condition     Fuzzy-Bayesian network     multi-source knowledge solidification and reasoning     root cause analysis    

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Sustainability performance analysis of environment innovation systems using a two-stage network DEA model

《工程管理前沿（英文）》   页码 425-438 doi: 10.1007/s42524-022-0205-5

摘要： The term environmental innovation system refers to an innovation network composed of enterprises, universities, and research institutions involved in the development and diffusion of environmental technology, with the participation of a government. An environmental innovation system not only exerts important impact on the achievement of carbon neutrality but also affects social and economic activities. Investigations on environmental innovation system performance constantly assume a single-stage independent system while ignoring its internal structure. However, such systems are composed of environmental innovation research and development (R&D) and environmental innovation conversion subsystems. A two-stage data envelopment analysis (DEA) model is developed in this study to analyze the efficiency of Chinese regional environmental innovation system by opening the “black box” and considering shared resources. Empirical results indicated that China presents high overall environmental innovation efficiency although some regions need to improve. Regions with low efficiencies in both environmental innovation R&D (EIR) and environmental innovation conversion (EIC) subsystems should expand their investment in and strengthen the management of environmental innovation resources. Regions with low EIR efficiency should improve the absorption and transformation of environmental innovation achievements. Regions with low EIC efficiency should increase investment in the commercialization of environmental innovation achievements and encourage green economy industries, such as new energy, art, tourism, and environmental protection.

关键词： data envelopment analysis     environmental efficiency     environmental innovation system     shared resources     two-stage structure    

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Design, analysis, and neural control of a bionic parallel mechanism

《机械工程前沿（英文）》 2021年 第16卷 第3期   页码 468-486 doi: 10.1007/s11465-021-0640-8

摘要： Although the torso plays an important role in the movement coordination and versatile locomotion of mammals, the structural design and neuromechanical control of a bionic torso have not been fully addressed. In this paper, a parallel mechanism is designed as a bionic torso to improve the agility, coordination, and diversity of robot locomotion. The mechanism consists of 6-degree of freedom actuated parallel joints and can perfectly simulate the bending and stretching of an animal’s torso during walking and running. The overall spatial motion performance of the parallel mechanism is improved by optimizing the structural parameters. Based on this structure, the rhythmic motion of the parallel mechanism is obtained by supporting state analysis. The neural control of the parallel mechanism is realized by constructing a neuromechanical network, which merges the rhythmic signals of the legs and generates the locomotion of the bionic parallel mechanism for different motion patterns. Experimental results show that the complete integrated system can be controlled in real time to achieve proper limb–torso coordination. This coordination enables several different motions with effectiveness and good performance.

关键词： neural control     behavior network     rhythm     motion pattern    

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网络舆情监测、分析与管理的现状与挑战

杨善林,周斌,贾焰,黄九鸣

《中国工程科学》 2016年 第18卷 第6期   页码 17-22 doi: 10.15302/J-SSCAE-2016.06.004

摘要：

本文从管理学和社会学视角、计算机科学与信息技术视角，概述了国内外网络舆情监测、分析与管理的研究现状以及我国的主要行业应用情况；在此基础上，讨论当前网络舆情监测、分析与管理面临网络新媒体和大数据带来的挑战，以及大数据分析、智能计算等带来的新机遇。

关键词： 网络舆情     监测     分析     管理    

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Planning and analysis of the demonstration project of the MVDC distribution network in Zhuhai

Lu QU, Zhanqing YU, Qiang SONG, Zhichang YUAN, Biao ZHAO, Dawei YAO, Jianfu CHEN, Yao LIU, Rong ZENG

《能源前沿（英文）》 2019年 第13卷 第1期   页码 120-130 doi: 10.1007/s11708-018-0599-2

摘要： The DC distribution system is an important development direction of the distribution system, which can improve the reliability and the quality of the power supply, and support the new energy, the energy storage, the electric vehicles, and the flexible access of AC and DC loads to grid. To realize the demonstration application of the DC distribution technology, China’s first demonstration project of the medium voltage DC distribution network will be built in Zhuhai, Guangdong Province to support the construction of the city energy internet. First, this paper analyzes the demand of the DC distribution network project, and puts forward the construction content and construction target. Then, it designs and analyzes the electrical connection mode, system operation mode, and startup and shutdown mode of the DC distribution network, and proposes the overall project construction plan. Finally, it conducts the specific project design and analysis, which mainly include the selection of equipment such as inverters, DC transformers and DC circuit breakers, the design and analysis of the DC control and protection system, the design and analysis of the over-voltage protection and the configuration scheme of the lightning arrester, and analysis of the system transient characteristics. The design and analysis of the engineering program is a combination of China’s distribution network engineering practice and technical characteristics, which lays a solid foundation for the advancement of the DC power distribution technology in China, and has reference value and demonstration effect for the design and construction of other projects.

关键词： MVDC distribution network     DC solid state transformer     DC circuit breaker     modular multilevel converter    

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AED-Net——异常事件检测网络 Article

王田, 苗子琛, 陈禹昕, 周毅, 单光存, Hichem Snoussi

《工程（英文）》 2019年 第5卷 第5期   页码 930-939 doi: 10.1016/j.eng.2019.02.008

摘要：

长期以来，在拥挤场景中检测异常事件都是一项具有挑战性的任务。为解决这一问题，本文提出了一种名叫异常事件检测网络（AED-Net）的自监督框架，它由主成分分析网络（PCANet）和核主成分分析（kPCA）组成。该框架以不同场景的监控视频序列为原始数据，通过训练PCANet以提取人群情况的高级语义。kPCA可作为一种单类分类器，被用于识别场景中的异常事件。与目前流行的一些深度学习方法相比，该框架完全是自监督的，因为它只使用正常情况下的视频序列。通过对明尼苏达大学公共监测人类活动数据集（UMN数据集）和加州大学圣地亚哥分校监测异常数据集（UCSD数据集）进行全局和局部异常事件进行检测发现，与其他最先进的方法相比，该方法具有更好的等误差率（EER）和曲线下面积（AUC）。此外，通过增加局部响应归一化（LRN）层，我们对原有的AED-Net进行了改进。结果表明，该改进版在提高框架的泛化能力方面表现出更好的性能。

关键词： 异常事件检测     异常事件检测网络     主成分分析网络     核主成分分析    

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基于重放分析的网络协议软件状态变量自动化发现技术 Research Article

黄见欣1,喻波1,刘润昊1,苏金树1,2

《信息与电子工程前沿（英文）》 2023年 第24卷 第3期   页码 403-416 doi: 10.1631/FITEE.2200275

摘要： 网络协议软件通常具有程序路径复杂、状态空间庞大的特点。程序中往往存在着一些带有状态的关键变量，用于记录协议状态和会话信息。这些状态变量一旦处理不当，很可能违背协议规范，进而产生逻辑错误，导致协议软件出现潜在的缺陷或漏洞。本文针对现有程序分析技术难以发现网络协议软件中的状态变量，且自动化程度偏低的问题，提出一种基于重放分析的状态变量识别方法。考虑到状态变量主要反映着通信双方的参数和程序的状态，具有这些特征的变量通常会以全局变量或静态变量的形式，持续存在于进程之中，该方法通过记录和重放协议软件的执行轨迹，运用动态插桩技术，在协议状态和软件状态的变化过程中，分析内存关键区域的全局变量和静态变量的状态特征，并结合规则进行筛选判定。在此基础上，设计并实现了一套能够自动化发现状态变量的原型系统，在ProFuzzBench中的9个程序和2个现实中的复杂协议软件上进行了测试。实验结果显示，平均真正类率（TPR）可达82%，平均准确度可达96%左右。

关键词： 状态变量；网络协议软件；程序分析技术；网络安全    

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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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Optimal design analysis of a tubular heat exchanger network with extended surfaces using multi-objective

Hassan HAJABDOLLAHI, Mohammad SHAFIEY DEHAJ, Babak MASOUMPOUR, Mohammad ATAEIZADEH

《能源前沿（英文）》 2022年 第16卷 第5期   页码 862-875 doi: 10.1007/s11708-022-0839-3

摘要： The present work aims to investigate the influence of extended surfaces (fins) on the multi-objective optimization of a tubular heat exchanger network (THEN). An increase in the heat transfer area using various extended surfaces (fins) to enhance the performance of the heat exchanger was used while considering the effectiveness and total heat transfer area as two objective functions. In addition to the simulation of simple fins, a new set of fins, called constructal fins, was designed based on the constructal theory. Tubular heat exchanger network design parameters were chosen as optimization variables, and optimization results were achieved in such a way as to enhance the effectiveness and decrease the total heat transfer area. The results show the importance of constructal fins in improving the objective functions of heat exchangers. For instance, the simple fins case enhances the effectiveness by up to 5.3% compared to that without fins (usual heat exchanger) while using constructal fins, in addition to the 7% increment of effectiveness, reduces the total heat transfer area by 9.47%. In order to optimize the heat exchanger, the heat transfer rate and cold fluid temperature must increase, and at the same time, the hot exiting fluid temperature should decrease at the same constant total heat transfer area, which is higher in the constructal fins case. Finally, optimized design variables were studied for different cases, and the effects of various fins were reported.

关键词： constructal theory     extended surface     effectiveness     total heat transfer area     multi-objective optimization    

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Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

《工程管理前沿（英文）》   页码 499-516 doi: 10.1007/s42524-022-0221-5

摘要： The large-scale online supermarket is a newly emerging online retailing mode which brings great convenience to people. Online supermarkets are characterized by having large amounts of daily orders with potentially multiple items, diverse delivery times, and a high order-split rate. Multiple shipments for one order caused by order splitting result in high cost and disturbance and a large number of discarded consumable packages at online retailers and customers, causing severe damage to the environment. Accordingly, research on split-order consolidation fulfilment is critical for the advancement of the practice and theory in the context of highly complex online retailing. This paper first analyzes the characteristics and the challenges associated with the split-order consolidation problem that online supermarket is confronting and summarizes the new operational process of split-order consolidation fulfilment. Then, a time–space network optimization model is built, and its corresponding solution algorithm is presented to solve the questions of where and when to consolidate the split orders. Finally, the computation results of the numerical experiments are provided to verify the effectiveness of the algorithm, and a sensitivity analysis of the relevant parameters is performed. This work highlights the effect of order consolidation processes and fulfilment methods on the order fulfilment decision-making for online supermarkets. The purpose of this article is to help pave the way for more effective online supermarket management and order implementation.

关键词： online supermarkets     split-order consolidation     time–space network     genetic algorithm    

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Performance analysis for a two-way relaying power line networkwith analog network coding

Yu-wen QIAN,Meng TIAN,Xue JIANG,Hua-ju SONG,Feng SHU,Jun LI

《信息与电子工程前沿（英文）》 2015年 第16卷 第10期   页码 892-898 doi: 10.1631/FITEE.1500135

摘要： In this paper, we investigate a two-way relaying power line communication (PLC) network with analog network coding. We focus on the analysis of the system outage probability, symbol error rate, and average capacity. Specifically, we first derive the probability density function (PDF) of the received signal-to-noise ratio (SNR) with a closed form, by exploiting the statistical properties of the PLC channel. Then with the help of this PDF, we develop the outage probability, symbol error rate, and average capacity with closed forms, based on the Hermite polynomial. Simulations show that the derived analytical results are consistent with those by Monte Carlo simulation.

关键词： Power line communication     Outage probability     Symbol error rate     Signal attenuation    

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新型网络产业发展战略研究

汪硕,吴芃,卢华,黄韬,张继栋,刘韵洁

《中国工程科学》 2021年 第23卷 第2期   页码 8-14 doi: 10.15302/J-SSCAE-2021.02.002

摘要：

新型网络产业作为兼具创新引领性、交叉融合性的前沿领域，对推动我国新一代信息技术创新与应用、促进工业化和信息化融合发展具有重大价值，也是抢占新兴产业制高点和经济增长点的有力手段。本文研判了新型网络技术的发展需求，针对多类应用场景阐述解决方案，凸显产业化价值；详细梳理了国内外新型网络产业的宏观发展态势、技术应用现状。在凝练我国新型网络产业发展思路的基础上，研判相关产业发展的重点方向，据此提出短期、中期、长期三个阶段中各细分方向的具体发展目标。研究表明，制定新型网络产业战略规划体系、加强前沿基础理论创新研究，是我国新型网络产业的发展亟需；新型网络架构与基础理论、超低时延 / 确定性时延网络、网络操作系统、云网融合、可编程网络是重点技术方向。

关键词： 新型网络     消费型网络     生产型互联网     天地一体化网络     价值分析    

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标题 作者 时间 类型 操作

A neural network-based production process modeling and variable importance analysis approach in corn

期刊论文

A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

期刊论文

Cross-sectional network analysis of plasma proteins/metabolites correlated with pathogenesis and therapeutic

期刊论文

A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

期刊论文

Sustainability performance analysis of environment innovation systems using a two-stage network DEA model

期刊论文

Design, analysis, and neural control of a bionic parallel mechanism

期刊论文

网络舆情监测、分析与管理的现状与挑战

杨善林,周斌,贾焰,黄九鸣

期刊论文

Planning and analysis of the demonstration project of the MVDC distribution network in Zhuhai

Lu QU, Zhanqing YU, Qiang SONG, Zhichang YUAN, Biao ZHAO, Dawei YAO, Jianfu CHEN, Yao LIU, Rong ZENG

期刊论文

AED-Net——异常事件检测网络

王田, 苗子琛, 陈禹昕, 周毅, 单光存, Hichem Snoussi

期刊论文

基于重放分析的网络协议软件状态变量自动化发现技术

黄见欣1,喻波1,刘润昊1,苏金树1,2

期刊论文

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

期刊论文

Optimal design analysis of a tubular heat exchanger network with extended surfaces using multi-objective

Hassan HAJABDOLLAHI, Mohammad SHAFIEY DEHAJ, Babak MASOUMPOUR, Mohammad ATAEIZADEH

期刊论文

Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

期刊论文

Performance analysis for a two-way relaying power line networkwith analog network coding

Yu-wen QIAN,Meng TIAN,Xue JIANG,Hua-ju SONG,Feng SHU,Jun LI

期刊论文

新型网络产业发展战略研究

汪硕,吴芃,卢华,黄韬,张继栋,刘韵洁

期刊论文