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Generating native user interfaces formultiple devices by means ofmodel transformation

Ignacio MARIN,Francisco ORTIN,German PEDROSA,Javier RODRIGUEZ

《信息与电子工程前沿（英文）》 2015年 第16卷 第12期   页码 995-1017 doi: 10.1631/FITEE.1500083

摘要： In the last years, the types of devices used to access information systems have notably increased using different operating systems, screen sizes, interaction mechanisms, and software features. This device fragmentation is an important issue to tackle when developing native mobile service front-end applications. To address this issue, we propose the generation of native user interfaces (UIs) by means of model transformations, following the modelbased user interface (MBUI) paradigm. The resulting MBUI framework, called LIZARD, generates applications for multiple target platforms. LIZARD allows the definition of applications at a high level of abstraction, and applies model transformations to generate the target native UI considering the specific features of target platforms. The generated applications follow the UI design guidelines and the architectural and design patterns specified by the corresponding operating system manufacturer. The objective is not to generate generic applications following the lowest-common-denominator approach, but to follow the particular guidelines specified for each target device. We present an example application modeled in LIZARD, generating different UIs for Windows Phone and two types of Android devices (smartphones and tablets).

关键词： Model-to-model transformation     Native user interfaces     Model-based user interfaces     Model-driven engineering    

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A survey of model-driven techniques and tools for cyber-physical systems

Bo Liu, Yuan-rui Zhang, Xue-lian Cao, Yu Liu, Bin Gu, Tie-xin Wang,liubocq@swu.edu.cn,gubinbj@sina.com,tiexin.wang@nuaa.edu.cn

《信息与电子工程前沿（英文）》 2020年 第21卷 第11期   页码 1535-1670 doi: 10.1631/FITEE.2000311

摘要： (CPSs) have emerged as a potential enabling technology to handle the challenges in social and economic sustainable development. Since it was proposed in 2006, intensive research has been conducted, showing that the construction of a CPS is a hard and complex engineering process due to the nature of integrating a large number of heterogeneous subsystems. Among other approaches to dealing with the complex design issues, model-driven design of CPSs has shown its advantages. In this review paper, we present a survey of research on model-driven development of CPSs. We are concerned mainly with the widely used methods, techniques, and tools, and discuss how these are applied to CPSs. We also present comparative analyses on the surveyed techniques and tools from various perspectives, including their modeling languages, functionalities, and the challenges which they address in CPS design. With our understanding of the surveyed methods, we believe that es are an inevitable choice in building CPSs and further research effort is needed in the development of model-driven theories, techniques, and tools. We also argue that a unified modeling platform is needed. Such a platform would benefit research in the academic community and practical development in industry, and improve the collaboration between these two communities.
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基于混合驱动高斯过程学习的强机动多目标跟踪方法 Research Article

国强1,滕龙1,2,尹天祥3,郭云飞3,吴新良2,宋文明2

《信息与电子工程前沿（英文）》 2023年 第24卷 第11期   页码 1647-1656 doi: 10.1631/FITEE.2300348

摘要： 现有机动目标跟踪方法在杂波环境中强机动目标的跟踪性能并不令人满意。本文提出一种混合驱动方法，利用数据驱动和基于模型算法的优点跟踪多个高机动目标。将时变恒速（CV）模型集成到在线学习的高斯过程（GP）中，提高高斯过程的预测性能。进一步与广义概率数据关联（GPDA）算法相结合，实现多目标跟踪。通过仿真实验可知，与广泛使用的机动目标跟踪算法如交互式多模型（IMM）和数据驱动的高斯过程运动跟踪器（GPMT）相比，提出的混合驱动方法具有显著的性能优势。

关键词： 目标跟踪；高斯过程；数据驱动；在线学习；模型驱动；概率数据关联    

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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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A real-life stability model for a large shield-driven tunnel in heterogeneous soft soils

Xinyu HU, Zixin ZHANG, Scott KIEFFER

《结构与土木工程前沿（英文）》 2012年 第6卷 第2期   页码 176-187 doi: 10.1007/s11709-012-0149-7

摘要： The current models that have been published to date only allow for homogeneous soil at the tunnel face. This paper presents a real-life face stability model to determine the minimal pressure needed at the tunnel face for a large shield-driven tunnel in heterogeneous soft soils. It is found that the influence of multilayered soil boundaries is significant, especially for the mixed-layer (e.g., sand and clay) soils. The suggested M-M model is developed by considering the influence of the heterogeneity of the soil on the angle of slip and the minimal support pressure. Comparisons of the solutions in mixed-layer soils are conducted, and the effects of the involved parameters for a large, multilayered, shield-driven tunnel are also investigated.

关键词： analytical solution     shield-driven tunnel     multilayered soil     face stability    

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Prediction of hydro-suction dredging depth using data-driven methods

《结构与土木工程前沿（英文）》 2021年 第15卷 第3期   页码 652-664 doi: 10.1007/s11709-021-0719-7

摘要： In this study, data-driven methods (DDMs) including different kinds of group method of data handling (GMDH) hybrid models with particle swarm optimization (PSO) and Henry gas solubility optimization (HGSO) methods, and simple equations methods were applied to simulate the maximum hydro-suction dredging depth (hs). Sixty-seven experiments were conducted under different hydraulic conditions to measure the hs. Also, 33 data samples from three previous studies were used. The model input variables consisted of pipeline diameter (d), the distance between the pipe inlet and sediment level (Z), the velocity of flow passing through the pipeline (u0), the water head (H), and the medium size of particles (D50). Data-driven simulation results indicated that the HGSO algorithm accurately trains the GMDH methods better than the PSO algorithm, whereas the PSO algorithm trained simple simulation equations more precisely. Among all used DDMs, the integrative GMDH-HGSO algorithm provided the highest accuracy (RMSE = 7.086 mm). The results also showed that the integrative GMDHs enhance the accuracy of polynomial GMDHs by ~14.65% (based on the RMSE).

关键词： sedimentation     water resources     dam engineering     machine learning     heuristic    

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Data driven models for compressive strength prediction of concrete at high temperatures

Mahmood AKBARI, Vahid JAFARI DELIGANI

《结构与土木工程前沿（英文）》 2020年 第14卷 第2期   页码 311-321 doi: 10.1007/s11709-019-0593-8

摘要： The use of data driven models has been shown to be useful for simulating complex engineering processes, when the only information available consists of the data of the process. In this study, four data-driven models, namely multiple linear regression, artificial neural network, adaptive neural fuzzy inference system, and nearest neighbor models based on collection of 207 laboratory tests, are investigated for compressive strength prediction of concrete at high temperature. In addition for each model, two different sets of input variables are examined: a complete set and a parsimonious set of involved variables. The results obtained are compared with each other and also to the equations of NIST Technical Note standard and demonstrate the suitability of using the data driven models to predict the compressive strength at high temperature. In addition, the results show employing the parsimonious set of input variables is sufficient for the data driven models to make satisfactory results.

关键词： data driven model     compressive strength     concrete     high temperature    

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Synergetic Management Theory for Coal-Based Energy Engineering and the Engineering Practice of Shenhua

Wen Ling

《工程管理前沿（英文）》 2016年 第3卷 第1期   页码 1-8 doi: 10.15302/J-FEM-2016005

摘要： To deal with problems in synergetic development of coal-based energy engineering, this paper, guided by the philosophy of engineering, proposes the synergetic management philosophy of “factors coordination, systems synergy, dynamic optimization and three-dimension planning.” The paper also establishes the synergetic management system characterized by systems factor synergy, resource-environment synergy and systems boundary extension and supported by the “two-wheel driven” management innovation and technological innovation. In addition, the paper presents a multi-objective dynamic optimization model for energy engineering, designed based on Shenhua’s own engineering practice, to analyze Pareto optimal solution in three scenarios: best resource allocation, minimal environmental impact and maximal value creation. This provides important reference to synergetic development strategies and decision-making in engineering management.

关键词： coal-based energy     engineering synergetic management     two-wheel driven innovation     Shenhua engineering    

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Decomposition and decoupling analysis of electricity consumption carbon emissions in China

《工程管理前沿（英文）》   页码 486-498 doi: 10.1007/s42524-022-0215-3

摘要： Electricity consumption is one of the major contributors to greenhouse gas emissions. In this study, we build a power consumption carbon emission measurement model based on the operating margin factor. We use the decomposition and decoupling technology of logarithmic mean Divisia index method to quantify six effects (emission intensity, power generation structure, consumption electricity intensity, economic scale, population structure, and population scale) and comprehensively reflect the degree of dependence of electricity consumption carbon emissions on China’s economic development and population changes. Moreover, we utilize the decoupling model to analyze the decoupling state between carbon emissions and economic growth and identify corresponding energy efficiency policies. The results of this study provide a new perspective to understand carbon emission reduction potentials in the electricity use of China.

关键词： electricity consumption carbon emission measurement     LMDI model     decoupling model     data driven    

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The Construction of Tetrahedral Model of Engineering Ethical Evaluation

Jin Wang

《工程管理前沿（英文）》 2014年 第1卷 第1期   页码 62-70 doi: 10.15302/J-FEM-2014009

摘要： To achieve greatprojects, great attention should be attached to ethical issues of engineering. But endless immoralities in the field of engineering expose the lack of attention and the ineffectiveness of implementation of engineering ethical evaluation. The “Mirror” and the "Lamp" — these two metaphors used by M. H. Abrams vividly expose the differences in people's way of understanding which inspires author's study of the model of engineering ethical evaluation. With four elements of the project —artifact, engineer, user and environment, a tetrahedral model of integrity, strong restoring force and high stability is built. While their roles and responsibilities differ, each has to demonstrate a commitment to professional and ethical standards. In this model, four "Lamps" — i. e, four elements of engineering — in four corners provide light while four "Mirrors" — the result of reflection of four elements — reflect whether the tetrahedral model can truthfully evaluate the level of engineering ethics. The combination of the "Lamps" and "Mirrors" illuminates engineering ethical evaluation and leads to a plurality of evaluation standards, while simultaneously fostering both the avoidance of simple de-instrumentalization and the sustainability of ethical evaluation. Plurality of evaluation standards means the consideration of value differences in a multi-value state. The avoidance of de-instrumentalization means to prevent the engineer's expertise from fossilization. The sustainability of ethical evaluation accelerates the fulfillment of our dream, for the ultimate benefit of humankind. Ethical evaluation of the project not only helps more engineers to use expertise in pursuit of the public good, but also make more projects to meet people's short-term expectations and long-term cares.

关键词： tetrahedral model     ethical evaluation     engineering     Lamps and Mirrors    

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Novel power capture optimization based sensorless maximum power point tracking strategy and internal modelcontroller for wind turbines systems driven SCIG

Ali EL YAAKOUBI,Kamal ATTARI,Adel ASSELMAN,Abdelouahed DJEBLI

《能源前沿（英文）》 2019年 第13卷 第4期   页码 742-756 doi: 10.1007/s11708-017-0462-x

摘要： Under the trends to using renewable energy sources as alternatives to the traditional ones, it is important to contribute to the fast growing development of these sources by using powerful soft computing methods. In this context, this paper introduces a novel structure to optimize and control the energy produced from a variable speed wind turbine which is based on a squirrel cage induction generator (SCIG) and connected to the grid. The optimization strategy of the harvested power from the wind is realized by a maximum power point tracking (MPPT) algorithm based on fuzzy logic, and the control strategy of the generator is implemented by means of an internal model (IM) controller. Three IM controllers are incorporated in the vector control technique, as an alternative to the proportional integral (PI) controller, to implement the proposed optimization strategy. The MPPT in conjunction with the IM controller is proposed as an alternative to the traditional tip speed ratio (TSR) technique, to avoid any disturbance such as wind speed measurement and wind turbine (WT) characteristic uncertainties. Based on the simulation results of a six KW-WECS model in Matlab/Simulink, the presented control system topology is reliable and keeps the system operation around the desired response.

关键词： power optimization     wind energy conversion system     maximum power point tracking (MPPT)     fuzzy logic     internal model (IM) controller    

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AML1-ETO driven acute leukemia: insights into pathogenesis and potential therapeutic approaches

null

《医学前沿（英文）》 2012年 第6卷 第3期   页码 248-262 doi: 10.1007/s11684-012-0206-6

摘要：

The AML1-ETO fusion transcription factor is generated by the t(8;21) translocation, which is present in approximately 4%–12% of adult and 12%–30% of pediatric acute myeloid leukemia (AML) patients. Both human and mouse models of AML have demonstrated that AML1-ETO is insufficient for leukemogenesis in the absence of secondary events. In this review, we discuss the pathogenetic insights that have been gained from identifying the various events that can cooperate with AML1-ETO to induce AML in vivo. We also discuss potential therapeutic strategies for t(8;21) positive AML that involve targeting the fusion protein itself, the proteins that bind to it, or the genes that it regulates. Recently published studies suggest that a targeted therapy for t(8;21) positive AML is feasible and may be coming sometime soon.

关键词： AML1-ETO     mouse model     leukemia     t(8     21)     pathway hits     mutation     hematopoiesis     Kasumi-1     CD34+    

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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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Reverse engineering in the construction of numerical simulation oriented patient-specific model of stented

Xianlong MENG, Wenyu FU, Yun ZHANG, Aike QIAO,

《机械工程前沿（英文）》 2010年 第5卷 第3期   页码 328-335 doi: 10.1007/s11465-010-0026-9

摘要： Patient-specific models are widely used in hemodynamic simulations. The flow in the boundary layer changes so strongly that fine meshes in the boundary layer are required in numerical simulations, especially for the calculation of wall shear stress and its gradient. To precisely analyze hemodynamics, it is necessary to investigate the approaches to the reconstruction of a numerical simulation-oriented patient-specific model for aortic arch aneurysm that can perform particular meshing in the boundary layer. Based on a surface model of aortic arch aneurysm in STL format, reverse engineering concept was applied to reconstruct a solid model using CAD software Geomagic and Pro/E, and a simplified model of stent for the intervention of aortic arch aneurysm was also created. After these models were imported to ANSYS, a block modeling approach was employed to divide the whole model into several domain blocks to adopt different meshing strategies. Particular meshing was performed especially in the boundary layer and around the stents. The finite element model particularly suitable for numerical simulation of hemodynamics was obtained. Hemodynamic simulation was performed, using the constructed finite element model to verify its applicability. The results indicate that reverse engineering concept and the proposed block modeling approach can be used to divide the solid model of aortic arch aneurysm into multiple volumes, which can be meshed according to particular requirements in each volume; the finite element model of stented aortic arch aneurysm can be employed to simulate hemodynamics. The approaches of modeling were applicable not only for aortic arch aneurysm, but also for similar model reconstruction as a reference in hemodynamic simulation investigations.

关键词： reverse engineering     aortic arch aneurysm     surface model     meshing     finite element model    

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机器学习和数据驱动算法在智慧发电系统中的应用——一种不确定性处理的视角 Review

孙立, Fengqi You

《工程（英文）》 2021年 第7卷 第9期   页码 1239-1247 doi: 10.1016/j.eng.2021.04.020

摘要：

由于人们对气候变化和环境保护的日益关注，智慧发电已成为常规火力发电厂和可再生能源系统经济安全运行的关键。面对日益增长的系统规模及其各种不确定性，传统的基于模型的第一定律方法已难以满足系统控制的要求。机器学习（ML）和数据驱动控制（DDC）技术的蓬勃发展为这些传统方法提供了一种替代方案。本文回顾了机器学习和数据驱动控制技术在发电系统监测、控制、优化和故障检测方面的典型应用，特别着重于揭示这些方法在评价、消除或耐受相关不确定性影响方面的作用。本文为智慧发电控制技术提供了一个从调节层到规划层的总体视角，分别从可见性、机动性、灵活性、经济性和安全性（简称“五性”）方面对机器学习和数据驱动控制技术的优势进行阐释。最后，对未来研究和应用进行了展望。

关键词： 智慧发电     机器学习     数据驱动控制     系统工程    

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标题 作者 时间 类型 操作

Generating native user interfaces formultiple devices by means ofmodel transformation

Ignacio MARIN,Francisco ORTIN,German PEDROSA,Javier RODRIGUEZ

期刊论文

A survey of model-driven techniques and tools for cyber-physical systems

Bo Liu, Yuan-rui Zhang, Xue-lian Cao, Yu Liu, Bin Gu, Tie-xin Wang,liubocq@swu.edu.cn,gubinbj@sina.com,tiexin.wang@nuaa.edu.cn

期刊论文

基于混合驱动高斯过程学习的强机动多目标跟踪方法

国强1,滕龙1,2,尹天祥3,郭云飞3,吴新良2,宋文明2

期刊论文

Test-driven verification/validation of model transformations

László LENGYEL,Hassan CHARAF

期刊论文

A real-life stability model for a large shield-driven tunnel in heterogeneous soft soils

Xinyu HU, Zixin ZHANG, Scott KIEFFER

期刊论文

Prediction of hydro-suction dredging depth using data-driven methods

期刊论文

Data driven models for compressive strength prediction of concrete at high temperatures

Mahmood AKBARI, Vahid JAFARI DELIGANI

期刊论文

Synergetic Management Theory for Coal-Based Energy Engineering and the Engineering Practice of Shenhua

Wen Ling

期刊论文

Decomposition and decoupling analysis of electricity consumption carbon emissions in China

期刊论文

The Construction of Tetrahedral Model of Engineering Ethical Evaluation

Jin Wang

期刊论文

Novel power capture optimization based sensorless maximum power point tracking strategy and internal modelcontroller for wind turbines systems driven SCIG

Ali EL YAAKOUBI,Kamal ATTARI,Adel ASSELMAN,Abdelouahed DJEBLI

期刊论文

AML1-ETO driven acute leukemia: insights into pathogenesis and potential therapeutic approaches

null

期刊论文

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

期刊论文

Reverse engineering in the construction of numerical simulation oriented patient-specific model of stented

Xianlong MENG, Wenyu FU, Yun ZHANG, Aike QIAO,

期刊论文

机器学习和数据驱动算法在智慧发电系统中的应用——一种不确定性处理的视角

孙立, Fengqi You

期刊论文