Search | Engineering

订阅投稿

首页工程期刊工程焦点工程成就工程前沿关于我们 English

资源类型

期刊论文 236

年份

2023 26

2022 39

2021 22

2020 22

2019 20

2018 16

2017 25

2016 17

2015 5

2014 3

2013 3

2012 7

2011 5

2010 7

2009 3

2008 2

2007 3

2005 1

2004 1

2003 1

展开︾

关键词

中国铁路“走出去” 5

“走出去” 4

中国铁路 2

人工智能 2

全球变暖 2

气候变化 2

COVID-19 1

GPS轨迹 1

Lipschitz非线性系统；动态输出反馈控制；事件触发控制；全局渐近稳定 1

P2P网络 1

RGB-D 1

Spark 1

“一带一路” 1

《联合国气候变化框架公约》(UNFCCC) 1

三维毛笔模型；三维笔道；三维交互绘制；实时力反馈技术 1

不可再生 1

不确定性评估 1

世界经济全 1

中国铁路“走出去”风险 1

展开︾

检索范围：

排序：展示方式：

Conceptual study on incorporating user information into forecasting systems

Jiarui HAN, Qian YE, Zhongwei YAN, Meiyan JIAO, Jiangjiang XIA

《环境科学与工程前沿（英文）》 2011年第5卷第4期页码 533-542 doi: 10.1007/s11783-010-0246-6

摘要： The purpose of improving weather forecast is to enhance the accuracy in weather prediction. An ideal forecasting system would incorporate user-end information. In recent years, the meteorological community has begun to realize that while general improvements to the physical characteristics of weather forecasting systems are becoming asymptotically limited, the improvement from the user end still has potential. The weather forecasting system should include user interaction because user needs may change with different weather. A study was conducted on the conceptual forecasting system that included a dynamic, user-oriented interactive component. This research took advantage of the recently implemented TIGGE (THORPEX interactive grand global ensemble) project in China, a case study that was conducted to test the new forecasting system with reservoir managers in Linyi City, Shandong Province, a region rich in rivers and reservoirs in eastern China. A self-improving forecast system was developed involving user feedback throughout a flood season, changing thresholds for flood-inducing rainfall that were responsive to previous weather and hydrological conditions, and dynamic user-oriented assessments of the skill and uncertainty inherent in weather prediction. This paper discusses ideas for developing interactive, user-oriented forecast systems.

关键词： user-end information user-oriented interactive forecasting system TIGGE (THORPEX interactive grand global ensemble)

HTML PDF 收藏

第三届全球重大挑战峰会

Bartolomeo Maggie

《工程（英文）》 2017年第3卷第4期页码 434-435 doi: 10.1016/J.ENG.2017.04.018

HTML PDF 收藏

基于回归预测集成学习的交互式图像分割 Article

Jin ZHANG, Zhao-hui TANG, Wei-hua GUI, Qing CHEN, Jin-ping LIU

《信息与电子工程前沿（英文）》 2017年第18卷第7期页码 1002-1020 doi: 10.1631/FITEE.1601401

摘要：对于复杂场景下的自然图像，全自动图像分割方法难以获得与真实情况吻合的结果，人们常常采用交互式分割手段实现精确分割。然而，当前及背景中存在颜色相似的区域时，传统半监督图像分割方法只能通过大量增加手工标记获得精确分割结果。为此，本文提出一种结合半监督学习的基于回归预测的集成学习交互式图像分割方法。通过集成两个互补的样条回归函数，将图像分割视为一个非线性预测问题。首先，基于已标记样本训练出两个在属性上互补的多元自适应回归样条学习器（multivariate adaptive regression splines, MARS）和薄板样条回归学习器（thin plate spline regression, TPSR）；接着，提出一种基于聚类假设和半监督学习的回归器增强算法，该算法从未标记样本中抽选部分样本辅助训练MARS和TPSR；然后，引入支持向量回归方法（support vector regression, SVR）集成MARS和TPSR的预测结果；最后，对SVR集成结果进行GraphCut图像分割。在标准数据库BSDS500和Pascal VOC上进行大量实验，验证了所提算法的有效性。大量对比实验证实，所提算法在交互式自然图像分割上的表现与当前最先进算法相当。

关键词：交互式图像分割；多元自适应回归样条；集成学习；薄板样条回归；半监督学习；支持向量回归

HTML PDF 收藏

解决城市中的全球重大挑战 Views & Comments

Andrew Ka-Ching Chan, FREng

《工程（英文）》 2016年第2卷第1期页码 10-15 doi: 10.1016/J.ENG.2016.01.003

HTML PDF 收藏

全球工程师共同应对变幻莫测的世界——2019年全球重大挑战论坛

Sean O’Neill

《工程（英文）》 2020年第6卷第2期页码 102-104 doi: 10.1016/j.eng.2019.12.003

HTML PDF 收藏

走向舞台中央的变革性技术——2019年全球重大挑战峰会首日纪实

Sean O’Neill

《工程（英文）》 2020年第6卷第3期页码 207-209 doi: 10.1016/j.eng.2020.01.001

HTML PDF 收藏

Robust ensemble of metamodels based on the hybrid error measure

《机械工程前沿（英文）》 2021年第16卷第3期页码 623-634 doi: 10.1007/s11465-021-0641-7

摘要： Metamodels have been widely used as an alternative for expensive physical experiments or complex, time-consuming computational simulations to provide a fast but accurate analysis. However, challenge remains in the prior determination of the most suitable metamodel for a particular case because of the lack of information about the actual behavior of a system. In addition, existing studies on metamodels have largely restricted on solving deterministic problems (e.g., data from finite element models), whereas some real-life engineering problems (e.g., data from physical experiment) are stochastic problems with noisy data. In this work, a robust ensemble of metamodels (EMs) is proposed by combining three regression stand-alone metamodels in a weighted sum form. The weight factor is adaptively determined according to the hybrid error metric, which combines global and local error measures to improve the accuracy of the EMs. Furthermore, three typical individual metamodels that can filter noise are selected to construct the EMs to extend their application in practical engineering problems. Three well-known benchmark problems with different levels of noise and three engineering problems are used to verify the effectiveness of the proposed EMs. Results show that the proposed EMs have higher accuracy and robustness than the individual metamodels and other typical EMs in major cases.

关键词： metamodel ensemble of metamodels hybrid error measure stochastic problem

HTML PDF 收藏

可持续发展的解决方案——2019年全球重大挑战峰会的第二天议程

Sean O'Neill

《工程（英文）》 2020年第6卷第4期页码 376-378 doi: 10.1016/j.eng.2020.02.001

HTML PDF 收藏

最大的全球重大挑战：通过国际学术机构间的合作培育下一代解决未来挑战 Views & Comments

Dean Kamen

《工程（英文）》 2016年第2卷第1期页码 44-44 doi: 10.1016/J.ENG.2016.01.013

HTML PDF 收藏

Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

《机械工程前沿（英文）》 2022年第17卷第4期 doi: 10.1007/s11465-022-0703-5

摘要： In fiber laser beam welding (LBW), the selection of optimal processing parameters is challenging and plays a key role in improving the bead geometry and welding quality. This study proposes a multi-objective optimization framework by combining an ensemble of metamodels (EMs) with the multi-objective artificial bee colony algorithm (MOABC) to identify the optimal welding parameters. An inverse proportional weighting method that considers the leave-one-out prediction error is presented to construct EM, which incorporates the competitive strengths of three metamodels. EM constructs the correlation between processing parameters (laser power, welding speed, and distance defocus) and bead geometries (bead width, depth of penetration, neck width, and neck depth) with average errors of 10.95%, 7.04%, 7.63%, and 8.62%, respectively. On the basis of EM, MOABC is employed to approximate the Pareto front, and verification experiments show that the relative errors are less than 14.67%. Furthermore, the main effect and the interaction effect of processing parameters on bead geometries are studied. Results demonstrate that the proposed EM-MOABC is effective in guiding actual fiber LBW applications.

关键词： laser beam welding parameter optimization metamodel multi-objective

HTML PDF 收藏

21世纪工程领域——重大挑战与重大挑战学者计划

C.D. Mote Jr.

《工程（英文）》 2020年第6卷第7期页码 728-732 doi: 10.1016/j.eng.2020.06.001

HTML PDF 收藏

Scientific significance of ancient maps of Yellow River and Grand Canal for water conservancy in China

Xiaocong LI,

《结构与土木工程前沿（英文）》 2009年第3卷第4期页码 445-454 doi: 10.1007/s11709-009-0063-9

摘要： Based on the study of ancient maps preserved in China and abroad, the systematic nature and practical meaning of the maps of the Yellow River and Grand Canal is demonstrated. It is pointed out that the ancient maps not only record the spatial information of the established water conservancy engineering for river harnessing but also the management systems of the rivers in history. Besides, the maps provide abundant information on nature, humanity, and geography and possess high value in academic research and art appreciation.

关键词： information management established appreciation practical

HTML PDF 收藏

Strategic Project Management to Use the Grand Challenge Scholars Program to Address Urban Infrastructure

David A. Wyrick,Warren Myers

《工程管理前沿（英文）》 2016年第3卷第3期页码 203-205 doi: 10.15302/J-FEM-2016046

摘要： Throughout the world, infrastructure to support cities is critical to support sustainable and responsible economic development. This can include new infrastructure projects in the case of growing areas. It can also include the renewal and upgrading of existing infrastructure in areas that have been inhabited and already developed. Infrastructure includes roads, bridges and transportation systems; power grids and energy service; internet and telecommunications; and water and sewer services. This development can be part of a system of systems, in which government, industries, and universities can contribute knowledge, skills, and abilities. This paper will investigate the strategic project management taken by one university to provide an academic experience that will prepare engineering students to address several of the Grand Engineering Challenges of the 21st Century, as identified by the US National Academy of Engineering. The challenges relating to energy, water, information, and urban infrastructure can be approached using the functions of teaching, research, and service. By approaching the challenges strategically, resources of faculty time, student effort and laboratory facilities can be leveraged to achieve greater results. This case study will describe the efforts and results to date and identify opportunities for future growth.

关键词： Grand Challenges urban infrastructure development engineering management system of systems strategic management engineering management case study

HTML PDF 收藏

Efficient Identification of water conveyance tunnels siltation based on ensemble deep learning

Xinbin WU; Junjie LI; Linlin WANG

《结构与土木工程前沿（英文）》 2022年第16卷第5期页码 564-575 doi: 10.1007/s11709-022-0829-x

摘要： The inspection of water conveyance tunnels plays an important role in water diversion projects. Siltation is an essential factor threatening the safety of water conveyance tunnels. Accurate and efficient identification of such siltation can reduce risks and enhance safety and reliability of these projects. The remotely operated vehicle (ROV) can detect such siltation. However, it needs to improve its intelligent recognition of image data it obtains. This paper introduces the idea of ensemble deep learning. Based on the VGG16 network, a compact convolutional neural network (CNN) is designed as a primary learner, called Silt-net, which is used to identify the siltation images. At the same time, the fully-connected network is applied as the meta-learner, and stacking ensemble learning is combined with the outputs of the primary classifiers to obtain satisfactory classification results. Finally, several evaluation metrics are used to measure the performance of the proposed method. The experimental results on the siltation dataset show that the classification accuracy of the proposed method reaches 97.2%, which is far better than the accuracy of other classifiers. Furthermore, the proposed method can weigh the accuracy and model complexity on a platform with limited computing resources.

关键词： water conveyance tunnels siltation images remotely operated vehicles deep learning ensemble learning computer vision

HTML PDF 收藏

long-term model with consideration of uncertainties for deployment of distributed energy resources using interactive

Iraj AHMADIAN,Oveis ABEDINIA,Noradin GHADIMI

《能源前沿（英文）》 2014年第8卷第4期页码 412-425 doi: 10.1007/s11708-014-0315-9

摘要： This paper presents a novel modified interactive honey bee mating optimization (IHBMO) base fuzzy stochastic long-term approach for determining optimum location and size of distributed energy resources (DERs). The Monte Carlo simulation method is used to model the uncertainties associated with long-term load forecasting. A proper combination of several objectives is considered in the objective function. Reduction of loss and power purchased from the electricity market, loss reduction in peak load level and reduction in voltage deviation are considered simultaneously as the objective functions. First, these objectives are fuzzified and designed to be comparable with each other. Then, they are introduced into an IHBMO algorithm in order to obtain the solution which maximizes the value of integrated objective function. The output power of DERs is scheduled for each load level. An enhanced economic model is also proposed to justify investment on DER. An IEEE 30-bus radial distribution test system is used to illustrate the effectiveness of the proposed method.

关键词： component distributed energy resources fuzzy optimization loss reduction interactive honey bee mating optimization (IHBMO) voltage deviation reduction stochastic programming