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Test-driven verification/validation of model transformations

László LENGYEL,Hassan CHARAF

《信息与电子工程前沿（英文）》 2015年第16卷第2期页码 85-97 doi: 10.1631/FITEE.1400111

摘要： Why is it important to verify/validate model transformations? The motivation is to improve the quality of the transformations, and therefore the quality of the generated software artifacts. Verified/validated model transformations make it possible to ensure certain properties of the generated software artifacts. In this way, verification/validation methods can guarantee different requirements stated by the actual domain against the generated/modified/optimized software products. For example, a verified/validated model transformation can ensure the preservation of certain properties during the model-to-model transformation. This paper emphasizes the necessity of methods that make model transformation verified/validated, discusses the different scenarios of model transformation verification and validation, and introduces the principles of a novel test-driven method for verifying/validating model transformations. We provide a solution that makes it possible to automatically generate test input models for model transformations. Furthermore, we collect and discuss the actual open issues in the field of verification/validation of model transformations.

关键词： Graph rewriting based model transformations Verification/validation Test-driven verification

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Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graph

Yang Jiao, Zhan Zhang, Ting Zhang, Wen Shi, Yan Zhu, Jie Hu, Qin Zhang

《医学前沿（英文）》 2020年第14卷第4期页码 488-497 doi: 10.1007/s11684-020-0762-0

摘要： Dyspnea is one of the most common manifestations of patients with pulmonary disease, myocardial dysfunction, and neuromuscular disorder, among other conditions. Identifying the causes of dyspnea in clinical practice, especially for the general practitioner, remains a challenge. This pilot study aimed to develop a computer-aided tool for improving the efficiency of differential diagnosis. The disease set with dyspnea as the chief complaint was established on the basis of clinical experience and epidemiological data. Differential diagnosis approaches were established and optimized by clinical experts. The artificial intelligence (AI) diagnosis model was constructed according to the dynamic uncertain causality graph knowledge-based editor. Twenty-eight diseases and syndromes were included in the disease set. The model contained 132 variables of symptoms, signs, and serological and imaging parameters. Medical records from the electronic hospital records of Suining Central Hospital were randomly selected. A total of 202 discharged patients with dyspnea as the chief complaint were included for verification, in which the diagnoses of 195 cases were coincident with the record certified as correct. The overall diagnostic accuracy rate of the model was 96.5%. In conclusion, the diagnostic accuracy of the AI model is promising and may compensate for the limitation of medical experience.

关键词： knowledge representation uncertain causality graphical model artificial intelligence diagnosis dyspnea

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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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基于探针图的并行型图顶点着色DNA计算模型 Article

许进, 强小利, 张凯, 张成, 杨静

《工程（英文）》 2018年第4卷第1期页码 61-77 doi: 10.1016/j.eng.2018.02.011

摘要：

目前DNA 计算机研究中遇到的最大瓶颈是解空间指数爆炸问题，即随着问题规模的增大，所需要作为信息处理“数据”的DNA分子呈指数级增大。本文提出了一种新颖的图顶点着色DNA计算模型，该模型正是围绕着如何克服解空间指数爆炸问题以及如何提高运行速度而设计的。其主要贡献有：①通过如下三种方法来克服解空间指数爆炸问题：顶点颜色集的确定方法；子图分解方法以及子图中的顶点优化排序方法；②设计了一种并行型聚合酶链反应（PCR）操作技术，应用这种技术一次可以对图中多条边来删除非解，使得生物操作次数大大减少，极大地提高了运行速度。本文以一个3-着色的61 个顶点的图为例，实验表明，99% 的非可行解在构建初始解空间时就被删除，并利用DNA 自组装和并行PCR 方法，通过识别、拼接以及组装等技术得到解。由于该模型对任意61 个顶点的图是同样的操作方法，这就意味着，该模型的搜索能力可以达到O(359)。

关键词： DNA计算图顶点着色问题聚合酶链反应（PCR）

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Efficacy of intelligent diagnosis with a dynamic uncertain causality graph model for rare disorders of

Dongping Ning, Zhan Zhang, Kun Qiu, Lin Lu, Qin Zhang, Yan Zhu, Renzhi Wang

《医学前沿（英文）》 2020年第14卷第4期页码 498-505 doi: 10.1007/s11684-020-0791-8

摘要： Disorders of sex development (DSD) are a group of rare complex clinical syndromes with multiple etiologies. Distinguishing the various causes of DSD is quite difficult in clinical practice, even for senior general physicians because of the similar and atypical clinical manifestations of these conditions. In addition, DSD are difficult to diagnose because most primary doctors receive insufficient training for DSD. Delayed diagnoses and misdiagnoses are common for patients with DSD and lead to poor treatment and prognoses. On the basis of the principles and algorithms of dynamic uncertain causality graph (DUCG), a diagnosis model for DSD was jointly constructed by experts on DSD and engineers of artificial intelligence. “Chaining” inference algorithm and weighted logic operation mechanism were applied to guarantee the accuracy and efficiency of diagnostic reasoning under incomplete situations and uncertain information. Verification was performed using 153 selected clinical cases involving nine common DSD-related diseases and three causes other than DSD as the differential diagnosis. The model had an accuracy of 94.1%, which was significantly higher than that of interns and third-year residents. In conclusion, the DUCG model has broad application prospects as a computer-aided diagnostic tool for DSD-related diseases.

关键词： disorders of sex development (DSD) intelligent diagnosis dynamic uncertain causality graph

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Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural

Wenxuan CAO; Junjie LI

《结构与土木工程前沿（英文）》 2022年第16卷第11期页码 1378-1396 doi: 10.1007/s11709-022-0855-8

摘要： It is of great significance to quickly detect underwater cracks as they can seriously threaten the safety of underwater structures. Research to date has mainly focused on the detection of above-water-level cracks and hasn’t considered the large scale cracks. In this paper, a large-scale underwater crack examination method is proposed based on image stitching and segmentation. In addition, a purpose of this paper is to design a new convolution method to segment underwater images. An improved As-Projective-As-Possible (APAP) algorithm was designed to extract and stitch keyframes from videos. The graph convolutional neural network (GCN) was used to segment the stitched image. The GCN’s m-IOU is 24.02% higher than Fully convolutional networks (FCN), proving that GCN has great potential of application in image segmentation and underwater image processing. The result shows that the improved APAP algorithm and GCN can adapt to complex underwater environments and perform well in different study areas.

关键词： underwater cracks remote operated vehicle image stitching image segmentation graph convolutional neural network

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Identification of sources, characteristics and photochemical transformations of dissolved organic matter

《环境科学与工程前沿（英文）》 2021年第15卷第5期 doi: 10.1007/s11783-020-1340-z

摘要：

• The source of DOM in surface water and sediment is inconsistent.

关键词： Dissolved organic matter Parallel factor analysis Excitation-emission matrices Photodegradation

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Classifying multiclass relationships between ASes using graph convolutional network

《工程管理前沿（英文）》页码 653-667 doi: 10.1007/s42524-022-0217-1

摘要： Precisely understanding the business relationships between autonomous systems (ASes) is essential for studying the Internet structure. To date, many inference algorithms, which mainly focus on peer-to-peer (P2P) and provider-to-customer (P2C) binary classification, have been proposed to classify the AS relationships and have achieved excellent results. However, business-based sibling relationships and structure-based exchange relationships have become an increasingly nonnegligible part of the Internet market in recent years. Existing algorithms are often difficult to infer due to the high similarity of these relationships to P2P or P2C relationships. In this study, we focus on multiclassification of AS relationship for the first time. We first summarize the differences between AS relationships under the structural and attribute features, and the reasons why multiclass relationships are difficult to be inferred. We then introduce new features and propose a graph convolutional network (GCN) framework, AS-GCN, to solve this multiclassification problem under complex scenes. The proposed framework considers the global network structure and local link features concurrently. Experiments on real Internet topological data validate the effectiveness of our method, that is, AS-GCN. The proposed method achieves comparable results on the binary classification task and outperforms a series of baselines on the more difficult multiclassification task, with an overall metrics above 95%.

关键词： autonomous system multiclass relationship graph convolutional network classification algorithm Internet topology

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Research on polyhydroxyalkanoates and glycogen transformations: Key aspects to biologic nitrogen and

Hongjing LI, Yinguang CHEN

《环境科学与工程前沿（英文）》 2011年第5卷第2期页码 283-290 doi: 10.1007/s11783-010-0243-9

摘要： In this paper, a study was conducted on the effect of polyhydroxyalkanoates (PHA) and glycogen transformations on biologic nitrogen and phosphorus removal in low dissolved oxygen (DO) systems. Two laboratory-scale sequencing batch reactors (SBR1 and SBR2) were operating with anaerobic/aerobic (low DO, 0.15–0.45 mg·L ) configurations, which cultured a propionic to acetic acid ratio (molar carbon ratio) of 1.0 and 2.0, respectively. Fewer poly-3-hydroxybutyrate (PHB), total PHA, and glycogen transformations were observed with the increase of propionic/acetic acid, along with more poly-3-hydroxyvalerate (PHV) and poly-3-hydroxy-2-methyvalerate (PH2MV) shifts. The total nitrogen (TN) removal efficiency was 68% and 82% in SBR1 and SBR2, respectively. In the two SBRs, the soluble ortho-phosphate (SOP) removal efficiency was 94% and 99%, and the average sludge polyphosphate (poly-P) content (g·g-MLVSS ) was 8.3% and 10.2%, respectively. Thus, the propionic to acetic acid ratio of the influent greatly influenced the PHA form and quantity, glycogen transformation, and poly-P contained in activated sludge and further determined TN and SOP removal efficiency. Moreover, significant correlations between the SOP removal rate and the (PHV+ PH2MV)/PHA ratio were observed ( >0.99). Accordingly, PHA and glycogen transformations should be taken into account as key components for optimizing anaerobic/aerobic (low DO) biologic nitrogen and phosphorus removal systems.

关键词： low dissolved oxygen (DO) biological nitrogen and phosphorus removal polyhydroxyalkanoates (PHA) glycogen

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Erratum to: Efficient keyword search over graph-structured data based on minimal covered Erratum

Asieh Ghanbarpour, Abbas Niknafs, Hassan Naderi,naderi@iust.ac.ir

《信息与电子工程前沿（英文）》 2020年第21卷第6期页码 809-962 doi: 10.1631/FITEE.18e0133

摘要： Unfortunately the second author’s name has been misspelt. It should be read: Abbas NIKNAFS.

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A systematic graph-based method for the kinematic synthesis of non-anthropomorphic wearable robots for

Fabrizio SERGI, Dino ACCOTO, Nevio L. TAGLIAMONTE, Giorgio CARPINO, Eugenio GUGLIELMELLI

《机械工程前沿（英文）》 2011年第6卷第1期页码 61-70 doi: 10.1007/s11465-011-0206-2

摘要：

The choice of non-anthropomorphic kinematic solutions for wearable robots is motivated both by the necessity of improving the ergonomics of physical Human-Robot Interaction and by the chance of exploiting the intrinsic dynamical properties of the robotic structure so to improve its performances. Under these aspects, this new class of robotic solutions is potentially advantageous over the one of anthropomorphic robotic orthoses. However, the process of kinematic synthesis of non-anthropomorphic wearable robots can be too complex to be solved uniquely by relying on conventional synthesis methods, due to the large number of open design parameters. A systematic approach can be useful for this purpose, since it allows to obtain the complete list of independent kinematic solutions with desired properties. In this perspective, this paper presents a method, which allows to generalize the problem of kinematic synthesis of a non-anthropomorphic wearable robot for the assistance of a specified set of contiguous body segments. The methodology also includes two novel tests, specifically devised to solve the problem of enumeration of kinematic structures of wearable robots: the HR-isomorphism and the HR-degeneracy tests. This method has been implemented to derive the atlas of independent kinematic solutions suitable to be used for the kinematic design of a planar wearable robot for the lower limbs.

关键词： assistive robotics non-anthropomorphic wearable robots topology kinematic synthesis HR-isomorphism test HR-degeneracy test

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A 7-year follow-up study of the features and transformations of elderly male patients with OGTT-1h hyperglycemia

TIAN Hui, LI Chunlin, ZHONG Wenwen, PAN Changyu, LU Juming, CAO Xiutang

《医学前沿（英文）》 2008年第2卷第4期页码 396-399 doi: 10.1007/s11684-008-0076-0

摘要： The aim of this paper is to investigate the clinical features and transformation of elderly male patients with normal blood glucose levels at fasting and 2 hours after glucose intake but with hyperglycemia (≥ 11.1 mmol/L) 1 hour after oral glucose tolerance test (OGTT-1h HG). Seven years of follow-up visits were performed on 189 elderly male outpatients with OGTT-1h HG and data was recorded on their body mass index (BMI), blood pressure, serum cholesterol and triglyceride test results and on their glucose tolerance changes every 1–2 years after taking OGTT; their possible causes were analysed. Follow-up visits revealed that 19 patients with OGTT-1h HG were diagnosed with diabetes (10.1%), 78 patients with impaired glucose tolerance (IGT, 41.3%), 2 patients transformed to normal glucose tolerance (NGT, 1.1%) and the remaining 90 patients (47.6%) remained unchanged. Synchronized comparison with IGT patients showed that the ratio of OGTT-1h HG patients turning to diabetes was lower than that of IGT patients (21.1%, = 13.05, < 0.01), and the ratio of OGTT-1h HG patients transforming to NGT was slightly higher (0.4%, = 2.46, > 0.05). The prevalence of complications of hypertension, coronary heart disease, cerebral vascular diseases and dyslipidemia in patients with OGTT-1h HG were higher than those with NGT ( < 0.05) and were similar to that of IGT patients. As a special phenotype of OGTT and as part of an abnormal glucose tolerance conformation, patients with OGTT-1h HG warrant special attention, since about half of them were found to have developed diabetes or IGT, and their risk of suffering from vascular diseases were also increased.

关键词： special attention prevalence unchanged dyslipidemia elderly

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图引导正则最小化的随机超梯度的交替方向方法 None

Qiang LAN, Lin-bo QIAO, Yi-jie WANG

《信息与电子工程前沿（英文）》 2018年第19卷第6期页码 755-762 doi: 10.1631/FITEE.1601771

摘要：提出并比较额外梯度交替方向的几种随机变体方法，称为带拉格朗日函数（SEGL）的随机超梯度交替方向法和带增广拉格朗日函数（SEGAL）的随机超梯度交替方向法。这些方法由两个大规模凸目标函数组成，可最小化图形引导的优化问题。机器学习中一些重要应用遵循图导引优化公式等作为线性回归、逻辑回归、Lasso结构化扩展以及结构化正则化逻辑回归的原则。通过融合逻辑回归和图形引导正则化回归，在几类数据集上进行了试验。试验结果表明所提算法优于其他竞争算法，且在实际应用中，SEGAL比SEGL性能更好。

关键词：随机优化；图形引导最小化；超梯度法；融合逻辑回归；图导向正则化逻辑回归

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基于网络图拓扑结构的MILP模型求解智能制造系统中的工艺规划问题 Article

刘齐浩, 李新宇, 高亮

《工程（英文）》 2021年第7卷第6期页码 807-817 doi: 10.1016/j.eng.2021.04.011

摘要：

智能工艺规划是智能制造系统中的重要组成部分。从制造流程角度出发，工艺规划（process planning, PP）连接着产品设计和实际生产，有着承上启下的关键作用。PP属于非确定性多项式时间困难（NP-hard）问题，现有的问题模型都是非线性形式，因此不能够通过求解现有模型来得到问题的精确解。从工艺网络图的拓扑结构出发，本文提出了一个全新的混合整数线性规划（mixedinteger linear programming, MILP）数学模型，并通过三种优先关系矩阵讨论了网络图中工序的优先关系。该模型能够凭借常用的数学模型求解器，如CPLEX、Gurobi等，来搜寻并获得大部分算例的最优解。该模型通过在5组公开的著名数据集上的测试，证明了其通用性和有效性。实验结果有力地说明了所提模型能够有效地解决工艺规划问题，并获得比当前最先进算法更好的解。

关键词：智能工艺规划工艺网路图混合整数线性规划 CPLEX

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Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning

《机械工程前沿（英文）》 2021年第16卷第4期页码 829-839 doi: 10.1007/s11465-021-0652-4

摘要： Existing fault diagnosis methods usually assume that there are balanced training data for every machine health state. However, the collection of fault signals is very difficult and expensive, resulting in the problem of imbalanced training dataset. It will degrade the performance of fault diagnosis methods significantly. To address this problem, an imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning is proposed in this paper. Unsupervised autoencoder is firstly used to compress every monitoring signal into a low-dimensional vector as the node attribute in the SuperGraph. And the edge connections in the graph depend on the relationship between signals. On the basis, graph convolution is performed on the constructed SuperGraph to achieve imbalanced training dataset fault diagnosis for rotating machinery. Comprehensive experiments are conducted on a benchmarking publicized dataset and a practical experimental platform, and the results show that the proposed method can effectively achieve rotating machinery fault diagnosis towards imbalanced training dataset through graph feature learning.

关键词： imbalanced fault diagnosis graph feature learning rotating machinery autoencoder

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标题作者时间类型操作

Test-driven verification/validation of model transformations

László LENGYEL,Hassan CHARAF

期刊论文

Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graph

Yang Jiao, Zhan Zhang, Ting Zhang, Wen Shi, Yan Zhu, Jie Hu, Qin Zhang

期刊论文

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

期刊论文

基于探针图的并行型图顶点着色DNA计算模型

许进, 强小利, 张凯, 张成, 杨静

期刊论文

Efficacy of intelligent diagnosis with a dynamic uncertain causality graph model for rare disorders of

Dongping Ning, Zhan Zhang, Kun Qiu, Lin Lu, Qin Zhang, Yan Zhu, Renzhi Wang

期刊论文

Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural

Wenxuan CAO; Junjie LI

期刊论文

Identification of sources, characteristics and photochemical transformations of dissolved organic matter

期刊论文

Classifying multiclass relationships between ASes using graph convolutional network

期刊论文

Research on polyhydroxyalkanoates and glycogen transformations: Key aspects to biologic nitrogen and

Hongjing LI, Yinguang CHEN

期刊论文

Erratum to: Efficient keyword search over graph-structured data based on minimal covered

Asieh Ghanbarpour, Abbas Niknafs, Hassan Naderi,naderi@iust.ac.ir

期刊论文

A systematic graph-based method for the kinematic synthesis of non-anthropomorphic wearable robots for

Fabrizio SERGI, Dino ACCOTO, Nevio L. TAGLIAMONTE, Giorgio CARPINO, Eugenio GUGLIELMELLI

期刊论文

A 7-year follow-up study of the features and transformations of elderly male patients with OGTT-1h hyperglycemia

TIAN Hui, LI Chunlin, ZHONG Wenwen, PAN Changyu, LU Juming, CAO Xiutang

期刊论文

图引导正则最小化的随机超梯度的交替方向方法

Qiang LAN, Lin-bo QIAO, Yi-jie WANG

期刊论文

基于网络图拓扑结构的MILP模型求解智能制造系统中的工艺规划问题

刘齐浩, 李新宇, 高亮

期刊论文

Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning

期刊论文

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