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Modular architecture model of CSCD system

Hongxue XU, Hong ZHENG, Xiuying GUO

《机械工程前沿（英文）》 2010年第5卷第4期页码 470-475 doi: 10.1007/s11465-010-0119-5

摘要： A modular architecture model of a computer-supported collaborative design (CSCD) system is proposed on the basis of the hierarchical structure characteristics of a distributed collaborative design system and advanced component object technology. The model mainly regards the module as the core organizing and managing design objects and uses the common object request broker architecture (CORBA) specifications as an interactive platform to achieve object communication. The browser/server computing model deals with the remote heterogeneous collaborative design problem. Product design strategies and mechanisms for collaborative design are separated to facilitate the application of distributed collaborative design environment for quick implementation. The open design framework for CSCD system developers can support the implementation of distributed collaborative design to improve product design speed and reduce product development time. The modular CSCD system (MCSCDS) model and its implementation are achieved in the modular CSCD, a prototype system.

关键词： computer-supported cooperative work (CSCW) computer-supported collaborative design (CSCD) distributed system component object technology modular architecture model

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Creating technical heritage object replicas in a virtual environment

Olga EGOROVA,Dmitry SHCHERBININ

《机械工程前沿（英文）》 2016年第11卷第1期页码 108-115 doi: 10.1007/s11465-016-0363-4

摘要：

The paper presents innovative informatics methods for creating virtual technical heritage replicas, which are of significant scientific and practical importance not only to researchers but to the public in general. By performing 3D modeling and animation of aircrafts, spaceships, architectural-engineering buildings, and other technical objects, the process of learning is achieved while promoting the preservation of the replicas for future generations. Modern approaches based on the wide usage of computer technologies attract a greater number of young people to explore the history of science and technology and renew their interest in the field of mechanical engineering.

关键词： 3D document history of science and technology technical knowledge popularization virtual environment replica mechanism and machine science (MMS)

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银行国际贸易结算系统构件化设计与实现

余金山,陈志强

《中国工程科学》 2004年第6卷第9期页码 81-87

摘要：

国际贸易结算是银行业中一种必不可少的业务，占据着重要的地位，而且随着电子商务的发展，其重要性也越来越突出。但是，这一业务的计算机化相当困难。主要原因是：操作流程复杂；组合变化太多，对灵活性有很高要求；涉及面相当广，几乎涉及银行的每一个业务品种，是一个压缩版的银行系统。因此，开发这样的系统必须采用先进的而且较为合适的方法和技术。文章提出了以构建半成品构件系统为总体思想的开发方法；在设计和实现上，提出了以数据总线为统一接口，以菜单/功能图标为总控主体框架，以基本业务操作为基本组件，并能把基本组件包装裁剪成可在主体框架控制下运行的功能构件，这样构建的系统可按实际需要进行组装、剪裁、参数设定、重新包装或经少量改写而形成一个实际可运行的系统。并提供了与银行总系统集成的灵活接口，具备了向网上银行和分布系统发展的良好基础。

关键词：银行国际贸易结算系统构件半成品系统

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Application of spectral technology in flame measurement

Jiaxun LIU, Xiaoshu CAI, Zenghao ZHU, Huinan YANG

《能源前沿（英文）》 2014年第8卷第1期页码 138-143 doi: 10.1007/s11708-013-0283-5

摘要： Spectral technology has become an important detection method due to its advantages such as non-intrusive measurement and on-line analysis. In this paper, two applications of spectral technology in thermal detection were proposed. First, a novel spectroscopic method based on Planck’s law for measurement of emissivity was introduced. The emissivity, obtained by comparing the radiation intensity of the blackbody which had the same temperature as the flame with the detected intensity of the flames, could be used for on-line measurements and had a relatively higher upper temperature limit. Then, a spectroscopic method for composition detection of blended fuels was proposed based on the emissivity measured. By comparing the spectra of blended fuels and single fuels, the ratio of single fuels of the blended fuel could be calculated. The measurement system proposed in this paper, which consists of a spectrometer and a computer, is very compact.

关键词： spectrum emissivity measurement component of fuel near-infrared spectrometer

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An exploratory study for predicting component reliability with new load conditions

Zhengwei HU, Xiaoping DU

《机械工程前沿（英文）》 2019年第14卷第1期页码 76-84 doi: 10.1007/s11465-018-0522-x

摘要： Reliability is important to design innovation. A new product should be not only innovative, but also reliable. For many existing components used in the new product, their reliability will change because the applied Loads are different from the ones for which the components are originally designed and manufactured. Then the new reliability must be re-evaluated. The system designers of the new product, however, may not have enough information to perform this task. With a beam problem as a case study, this study explores a feasible way to re-evaluate the component reliability with new Loads given the following information: The original reliability of the component with respect to the component Loads and the distributions of the new component Loads. Physics-based methods are employed to build the equivalent component limit-state function that can predict the component failure under the new Loads. Since the information is limited, the re-evaluated component reliability is given by its maximum and minimum values. The case study shows that good accuracy can be obtained even though the new reliability is provided with the aforementioned interval.

关键词： reliability component failure mode prediction random variable

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基于RGBD和稀疏学习的鲁棒目标跟踪 Article

Zi-ang MA, Zhi-yu XIANG

《信息与电子工程前沿（英文）》 2017年第18卷第7期页码 989-1001 doi: 10.1631/FITEE.1601338

摘要：鲁棒目标跟踪近年来成为计算机视觉领域一项重要的且极具挑战性的研究方向。随着深度传感器的普及，深度信息因其对光照变化与遮挡表现出一定的鲁棒性而被广泛应用于视觉目标跟踪算法中。本文提出了一种基于RGBD和稀疏学习的跟踪算法，从三个方面将深度信息应用到稀疏学习跟踪框架。首先将深度图像特征结合现有的基于彩色图像的视觉特征用于目标外观的鲁棒特征描述。为了适应跟踪过程中的各种遮挡情况，我们设计了一种特殊的遮挡物模板用于增广现有的超完备字典。最后，我们进一步提出了一种基于深度信息的遮挡物检测方法用于有效地指示模板更新。基于KITTI和Princeton数据集的大量实验证明了所提出算法的跟踪效果优于时下最先进的多种跟踪器，包括基于稀疏学习的跟踪以及基于RGBD的跟踪。

关键词：目标跟踪；稀疏学习；深度视角；遮挡物模板；深度图像特征

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Improved resilience measure for component recovery priority in power grids

《工程管理前沿（英文）》 2021年第8卷第4期页码 545-556 doi: 10.1007/s42524-021-0161-5

摘要： Given the complexity of power grids, the failure of any component may cause large-scale economic losses. Consequently, the quick recovery of power grids after disasters has become a new research direction. Considering the severity of power grid disasters, an improved power grid resilience measure and its corresponding importance measures are proposed. The recovery priority of failed components after a disaster is determined according to the influence of the failed components on the power grid resilience. Finally, based on the data from the 2019 Power Yearbook of each city in Shandong Province, China, the power grid resilience after a disaster is analyzed for two situations, namely, partial components failure and failure of all components. Result shows that the recovery priorities of components with different importance measures vary. The resilience evaluations under different repair conditions prove the feasibility of the proposed method.

关键词： resilience measure power grid importance measure component recovery

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modeling on improved performance of an innovative method of using heave response of a non-floating object

Srinivasan CHANDRASEKARAN, Arunachalam AMARKARTHIK, Karuppan SIVAKUMAR, Dhanasekaran SELVAMUTHUKUMARAN, Shaji SIDNEY

《能源前沿（英文）》 2013年第7卷第3期页码 279-287 doi: 10.1007/s11708-013-0268-4

摘要： To convert wave energy into usable forms of energy by utilizing heaving body, heaving bodies (buoys) which are buoyant in nature and float on the water surface are usually used. The wave exerts excess buoyancy force on the buoy, lifting it during the approach of wave crest while the gravity pulls it down during the wave trough. A hydraulic, direct or mechanical power takeoff is used to convert this up and down motion of the buoy to produce usable forms of energy. Though using a floating buoy for harnessing wave energy is conventional, this device faces many challenges in improving the overall conversion efficiency and survivability in extreme conditions. Up to the present, no studies have been done to harness ocean waves using a non-floating object and to find out the merits and demerits of the system. In the present paper, an innovative heaving body type of wave energy converter with a non-floating object was proposed to harness waves. It was also shown that the conversion efficiency and safety of the proposed device were significantly higher than any other device proposed with floating buoy. To demonstrate the improvements, experiments were conducted with non-floating body for different dimensions and the heave response was noted. Power generation was not considered in the experiment to observe the worst case response of the heaving body. The device was modeled in artificial neural network (ANN), the heave response for various parameters were predicted, and compared with the experimental results. It was found that the ANN model could predict the heave response with an accuracy of 99%.

关键词： ocean wave energy point absorbers heaving body non-floating object heave response ratio artificial neural network (ANN)

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Molecular level simulations on multi-component systems —a morphology prediction method

C. SCHMIDT, J. ULRICH

《化学科学与工程前沿（英文）》 2013年第7卷第1期页码 49-54 doi: 10.1007/s11705-013-1307-8

摘要： The crystal morphology grown from a solution composed of an organic solvent, solute and additive can be predicted reliably by a computational method. Modeling the supersaturated solution as liquid phase is achieved by employing commercial software. The molecular composition of this solution is a required input parameter. The face specific diffusion coefficient of the solid (crystal surface) and liquid (solution) system is determined using the molecular dynamics procedure. The obtained diffusion coefficient is related to the specific face growth rate via the attachment energy of the pure morphology. The significant improvements are achieved in the morphology prediction because the investigation on the face growth rates in a complex growth environment (as multi-component solutions with additives) can be carried out based on the diffusion coefficients.

关键词： crystallization morphology molecular dynamics solution

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Robust optimization of the billet for isothermal local loading transitional region of a Ti-alloy rib-web component

Ke WEI, Xiaoguang FAN, Mei ZHAN, Miao MENG

《机械工程前沿（英文）》 2018年第13卷第3期页码 376-384 doi: 10.1007/s11465-018-0500-3

摘要：

Billet optimization can greatly improve the forming quality of the transitional region in the isothermal local loading forming (ILLF) of large-scale Ti-alloy rib-web components. However, the final quality of the transitional region may be deteriorated by uncontrollable factors, such as the manufacturing tolerance of the preforming billet, fluctuation of the stroke length, and friction factor. Thus, a dual-response surface method (RSM)-based robust optimization of the billet was proposed to address the uncontrollable factors in transitional region of the ILLF. Given that the die underfilling and folding defect are two key factors that influence the forming quality of the transitional region, minimizing the mean and standard deviation of the die underfilling rate and avoiding folding defect were defined as the objective function and constraint condition in robust optimization. Then, the cross array design was constructed, a dual-RSM model was established for the mean and standard deviation of the die underfilling rate by considering the size parameters of the billet and uncontrollable factors. Subsequently, an optimum solution was derived to achieve the robust optimization of the billet. A case study on robust optimization was conducted. Good results were attained for improving the die filling and avoiding folding defect, suggesting that the robust optimization of the billet in the transitional region of the ILLF was efficient and reliable.

关键词： isothermal local loading forming rib-web component transitional region robust optimization dual response surface method

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Development of a multi-component drug from turmeric using central composite design

Xiaohang ZHANG,Shengnan HAN,Yan LI,Jianlan JIANG

《化学科学与工程前沿（英文）》 2014年第8卷第3期页码 362-368 doi: 10.1007/s11705-014-1439-5

摘要： A methodology to develop multi-component drugs based on traditional Chinese medicines has been developed using central composite design. Several active components from the traditional Chinese medicine turmeric were chosen for use in a multi-component antitumor drug. Response surface methodology based on a central composite design was applied to determine the quantitative composition-activity relationships in order to optimize the amount of each component in the drug. An MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) assay was used to measure the pharmacological activity as the response value. The experimental antitumor activity of the optimum combination was 92.85% in the MTT assay and superior to the activities of each single component. These results demonstrate that response surface methodology based on a central composite design is suitable for the design of multi-component drugs.

关键词： multi-component drug development central composite design turmeric curcuminoids

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基于多表征声呐数据特征融合的水下目标检测方法 Research Article

王非1,李婉玉1,刘淼2,周景春1,张维石1

《信息与电子工程前沿（英文）》 2023年第24卷第6期页码 828-843 doi: 10.1631/FITEE.2200429

摘要：现有水下目标检测方法多基于物体的几何形状从声呐数据中识别物体，这些方法几乎忽略数据采集和数据表征过程所产生的形状畸变问题。为此，本文对声呐数据的不同表示形式进行了对比分析，在此基础上，提出了一个特征融合框架，以充分利用从极坐标图像中提取的强度特征和从点云表示形式中学习的几何特征。该框架中设计了三种特征融合策略，以分析特征融合对检测器不同模块的影响。同时，这些融合策略可以直接集成到其他检测器中，如YOLO系列。通过公开水下实景声呐数据集上的一系列对比实验，验证了所提框架和特征融合策略的有效性。实验结果表明，所提特征融合方法对检测器中候选区域模块和分类模块的结果都有所增益。

关键词：水下目标检测；声呐数据表示形式；特征融合

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Non-negativematrix factorization based unmixing for principal component transformed hyperspectral data

Xiu-rui GENG,Lu-yan JI,Kang SUN

《信息与电子工程前沿（英文）》 2016年第17卷第5期页码 403-412 doi: 10.1631/FITEE.1600028

摘要： Non-negative matrix factorization (NMF) has been widely used in mixture analysis for hyperspectral remote sensing. When used for spectral unmixing analysis, however, it has two main shortcomings: (1) since the dimensionality of hyperspectral data is usually very large, NMF tends to suffer from large computational complexity for the popular multiplicative iteration rule; (2) NMF is sensitive to noise (outliers), and thus the corrupted data will make the results of NMF meaningless. Although principal component analysis (PCA) can be used to mitigate these two problems, the transformed data will contain negative numbers, hindering the direct use of the multiplicative iteration rule of NMF. In this paper, we analyze the impact of PCA on NMF, and find that multiplicative NMF can also be applicable to data after principal component transformation. Based on this conclusion, we present a method to perform NMF in the principal component space, named ‘principal component NMF’ (PCNMF). Experimental results show that PCNMF is both accurate and time-saving.

关键词： Non-negative matrix factorization (NMF) Principal component analysis (PCA) Endmember Hyperspectral

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of cutting parameters in high-speed milling based on grey relational analysis coupled with principal component

Tao FU, Jibin ZHAO, Weijun LIU

《机械工程前沿（英文）》 2012年第7卷第4期页码 445-452 doi: 10.1007/s11465-012-0338-z

摘要：

This paper investigates optimization problem of the cutting parameters in high-speed milling on NAK80 mold steel. An experiment based on the technology of Taguchi is performed. The objective is to establish a correlation among spindle speed, feed per tooth and depth of cut to the three directions of cutting force in the milling process. In this study, the optimum cutting parameters are obtained by the grey relational analysis. Moreover, the principal component analysis is applied to evaluate the weights so that their relative significance can be described properly and objectively. The results of experiments show that grey relational analysis coupled with principal component analysis can effectively acquire the optimal combination of cutting parameters and the proposed approach can be a useful tool to reduce the cutting force.

关键词： high-speed milling grey relational analysis principal component analysis parameters optimization

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removal of ocular artifacts from electroencephalogram signals using spatial constraint independent component

Bang-hua YANG,Liang-fei HE,Lin LIN,Qian WANG

《信息与电子工程前沿（英文）》 2015年第16卷第6期页码 486-496 doi: 10.1631/FITEE.1400299

摘要： Ocular artifacts cause the main interfering signals within electroencephalogram (EEG) signal measurements. An adaptive filter based on reference signals from an electrooculogram (EOG) can reduce ocular interference, but collecting EOG signals during a long-term EEG recording is inconvenient and uncomfortable for the subject. To remove ocular artifacts from EEG in brain-computer interfaces (BCIs), a method named spatial constraint independent component analysis based recursive least squares (SCICA-RLS) is proposed. The method consists of two stages. In the first stage, independent component analysis (ICA) is used to decompose multiple EEG channels into an equal number of independent components (ICs). Ocular ICs are identified by an automatic artifact detection method based on kurtosis. Then empirical mode decomposition (EMD) is employed to remove any cerebral activity from the identified ocular ICs to obtain exact artifact ICs. In the second stage, first, SCICA applies exact artifact ICs obtained in the first stage as a constraint to extract artifact ICs from the given EEG signal. These extracted ICs are called spatial constraint ICs (SC-ICs). Then the RLS based adaptive filter uses SC-ICs as reference signals to reduce interference, which avoids the need for parallel EOG recordings. In addition, the proposed method has the ability of fast computation as it is not necessary for SCICA to identify all ICs like ICA. Based on the EEG data recorded from seven subjects, the new approach can lead to average classification accuracies of 3.3% and 12.6% higher than those of the standard ICA and raw EEG, respectively. In addition, the proposed method has 83.5% and 83.8% reduction in time-consumption compared with the standard ICA and ICA-RLS, respectively, which demonstrates a better and faster OA reduction.

关键词： Ocular artifacts Electroencephalogram (EEG) Electrooculogram (EOG) Brain-computer interface (BCI) Spatial constraint independent component analysis based recursive least squares (SCICA-RLS)