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 338

会议视频 32

年份

2024 1

2023 38

2022 55

2021 42

2020 32

2019 30

2018 18

2017 28

2016 15

2015 16

2014 12

2013 8

2012 7

2011 6

2010 10

2009 2

2008 7

2007 7

2006 7

2005 2

展开︾

关键词

大数据 20

数据挖掘 7

机器学习 5

人工智能 4

智能制造 4

农业科学 3

区块链 3

能源 3

信息技术 2

分布式系统 2

医学 2

大地水准面 2

工业大数据 2

抗击疫情 2

数据集成 2

数据驱动方法 2

材料设计 2

环境一号卫星 2

结构健康监测 2

展开︾

检索范围：

排序：展示方式：

Traffic services for vehicles: the process from receiving raw probe data to space-time diagrams and the

Markus AUER, Hubert REHBORN, Sven-Eric MOLZAHN, Micha KOLLER

《工程管理前沿（英文）》 2017年第4卷第4期页码 490-497 doi: 10.15302/J-FEM-2017008

摘要： Today, large quantities of vehicle data (FCD: floating car data) are widely used by traffic service providers to create and broadcast traffic states in road networks. As a first processing step, all raw position data received from Global Positioning Systems (GPS) have to be map matched in a digital road map. The technical aspects of such a matching process for GPS data are described in this report. After the matching process, space-time-diagrams are created of the probe data showing traffic situation details over space and time. Various examples illustrate how traffic service quality depends on the number of matched GPS raw data; it will be stated that when 2% of connected vehicles in the total traffic flow are sending their GPS data in shorter time intervals, a high quality and precise reconstruction of the current traffic phases is achieved. Traffic reconstruction is followed by a translation into traffic information messages, which can be sent and used in vehicle navigation systems for driver information and dynamic route guidance.

关键词： floating car data map matching three phase traffic theory traffic reconstruction traffic service quality navigation systems

HTML PDF 收藏

From Signal to Knowledge: The Diagnostic Value of Raw Data in the Artificial Intelligence Predictionof Human Data for the First Time

Bingxi He,Yu Guo,Yongbei Zhu,Lixia Tong,Boyu Kong,Kun Wang,Caixia Sun,Hailin Li,Feng Huang,Liwei Wu,Meng Wang,Fanyang Meng,Le Dou,Kai Sun,Tong Tong,Zhenyu Liu,Ziqi Wei,Wei Mu,Shuo Wang,Zhenchao Tang,

《工程（英文）》 doi: 10.1016/j.eng.2023.02.013

摘要： Encouraging and astonishing developments have recently been achieved in image-based diagnostic technology. Modern medical care and imaging technology are becoming increasingly inseparable. However, the current diagnosis pattern of signal to image to knowledge inevitably leads to information distortion and noise introduction in the procedure of image reconstruction (from signal to image). Artificial intelligence (AI) technologies that can mine knowledge from vast amounts of data offer opportunities to disrupt established workflows. In this prospective study, for the first time, we develop an AI-based signal-to-knowledge diagnostic scheme for lung nodule classification directly from the computed tomography (CT) raw data (the signal). We find that the raw data achieves almost comparable performance with CT, indicating that it is possible to diagnose diseases without reconstructing images. Moreover, the incorporation of raw data through three common convolutional network structures greatly improves the performance of the CT models in all cohorts (with a gain ranging from 0.01 to 0.12), demonstrating that raw data contains diagnostic information that CT does not possess. Our results break new ground and demonstrate the potential for direct signal-to-knowledge domain analysis.

关键词： Computed tomography Diagnosis Deep learning Lung cancer Raw data

HTML PDF 收藏

Decision Support System for emergency scheduling of raw water supply systems with multiple sources

Qi WANG, Shuming LIU, Wenjun LIU, Zoran KAPELAN, Dragan SAVIC

《环境科学与工程前沿（英文）》 2013年第7卷第5期页码 777-786 doi: 10.1007/s11783-013-0537-9

摘要： A hydraulic model-based emergency scheduling Decision Support System (DSS) is designed to eliminate the impact of sudden contamination incidents occurring upstream in raw water supply systems with multiple sources. The DSS consists of four functional modules, including water quality prediction, system safety assessment, emergency strategy inference and scheduling optimization. The work flow of the DSS is as follows. First, the water quality variations on specific cross-sections are calculated given the pollution information. Next, a comprehensive evaluation on the safety of the current system is conducted using the outputs in the first module. This will assist in the assessment of whether the system is in danger of failure, taking both the impact of pollution and system capacity into account. If there is a severe impact of contamination on the reliability of the system, a fuzzy logic based inference module is employed to generate reasonable strategies including technical measures. Otherwise, a Genetic Algorithm (GA)-based optimization model will be used to find the least-cost scheduling plan. The proposed DSS has been applied to a coastal city in South China during a saline tide period as validation. Through scenario analysis, it is demonstrated that this DSS tool is instrumental in emergency scheduling for the water company to quickly and effectively respond to sudden contamination incidents.

关键词： decision support system raw water supply system contamination incident emergency scheduling hydraulic model safety assessment

HTML PDF 收藏

Optimization and modeling of biohydrogen production by mixed bacterial cultures from raw cassava starch

Shaojie Wang,Zhihong Ma,Ting Zhang,Meidan Bao,Haijia Su

《化学科学与工程前沿（英文）》 2017年第11卷第1期页码 100-106 doi: 10.1007/s11705-017-1617-3

摘要： The production of bio-hydrogen from raw cassava starch via a mixed-culture dark fermentation process was investigated. The production yield of H was optimized by adjusting the substrate concentration and the microorganism mixture ratio. A maximum H yield of 1.72 mol H /mol glucose was obtained with a cassava starch concentration of 10 g/L to give a 90% utilization rate. The kinetics of the substrate utilization and of the generation of both hydrogen and volatile fatty acids were also investigated. The substrate utilization follows pseudo first order reaction kinetics, whereas the production of both H and the VFAs correlate with the Gompertz equation. These results show that cassava is a good candidate for the production of biohydrogen.

关键词： cassava biohydrogen mixed cultures kinetics

HTML PDF 收藏

Silver-catalyzed bioleaching for raw low-grade copper sulphide ores

Tianlong DENG, Yafei GUO, Mengxia LIAO, Dongchan LI

《化学科学与工程前沿（英文）》 2009年第3卷第3期页码 250-254 doi: 10.1007/s11705-009-0049-0

摘要： This research was conducted to investigate the biooxidation and copper dissolution from raw low-grade refractory copper sulphide ores located in the Xinjiang Autonomous Region of China using adapted bacteria. In order to accelerate the bioleaching rate, the adapted mixed bacteria and silver ion catalyst were tested in the leach columns at laboratory scale. The overall acid consumption was 4.3 kg sulphuric acid per kg of dissolved copper and was linearly related to the percent copper dissolution. The calculated copper dissolution rates obey the Shrinking Core Model. The relative activation energy of the whole biooxidative leaching stages was calculated to be 48.58 kJ/mol.

关键词： green process biohydrometallurgy bioleaching reaction kinetics sulphide ores

HTML PDF 收藏

受污染水源水的生物处理工艺试验研究

桑军强,王志农,孟庆宇,张锡辉,何长义

《中国工程科学》 2006年第8卷第3期页码 75-78

摘要：

通过预曝气增加进水DO含量，改进了生物处理装置的实际运行效果。试验采用常用的陶粒滤池工艺，安装两套相同的反应器，一套反应器采用传统的曝气方法供氧，原水直接进入反应器，另一套反应器的原水先进行纯氧预曝气，使之DO达到超饱和状态，反应器内不再进行曝气。试验结果表明，原水预先充氧达到超饱和状态后进行生物处理，原水中的DO可以满足微生物的需求，各项污染物的去除效果优于采用传统曝气方法供氧的生物处理装置。试验结果表明，开发适用于饮用水生物处理的无泡供氧装置具有现实意义。

关键词：生物处理水源水供氧无泡曝气

HTML PDF 收藏

Experimental investigations on combustion characteristics of syngas composed of CH

Qingwei FAN, Shien HUI, Qulan ZHOU, Qinxin ZHAO, Tongmo XU

《化学科学与工程前沿（英文）》 2010年第4卷第4期页码 404-410 doi: 10.1007/s11705-010-0513-x

摘要： The residual gas and remained raw gas in dual gas resources polygeneration system are quite complex in components (mainly CH , CO, and H ), and these results to the distinguished differences in combustion reaction. Experimental investigations on basic combustion characteristics of syngas referred above are conducted on a laboratory-scale combustor with flame temperature and flue gas composition measured and analyzed. Primary air coefficient (PA), total air coefficient (TA), and components of the syngas (CS) are selected as key factors, and it is found that PA dominates mostly the ignition of syngas and NO formation, while TA affects the flue gas temperature after high temperature region and NO formation trend to be positive as H /CO components increase. The results provide references for industrial utilization.

关键词： dual gas resources polygeneration lean premixed combustion residual gas remained raw gas NO_x emission

HTML PDF 收藏

面向绿色过程的膜工程 Review

Francesca Macedonio, Enrico Drioli

《工程（英文）》 2017年第3卷第3期页码 290-298 doi: 10.1016/J.ENG.2017.03.026

摘要：

绿色过程工程是实现工业可持续发展的一个重要途径。基于过程强化原则，它涉及新设备和新过程方法，期望能够给化学及其他生产领域和过程领域带来根本进步，比如降低生产成本、减小设备尺寸、降低能耗、减少废物产生及改进远程控制、信息流控制和过程弹性等。膜技术为过程强化原则做出了很大的贡献，在过去这些年，其潜力获得了广泛的认可。本文综合分析了膜技术在水处理、能源生产和天然材料提取等工业领域的应用和前景，重点强调了创新膜集成单元的协同使用存在的机遇，介绍了集成膜系统在海水淡化与原材料生产耦合工艺中的一个应用案例。本文将说明膜工程在实现“零排放”“原材料全利用”和“低能耗”等目标中的作用。

关键词：膜工程能源/ 水 / 原材料生产超越反渗透法海水淡化

HTML PDF 收藏

建材非金属矿产资源强国战略研究

顾真安,同继锋,崔源声,彭寿,苏桂军,周洪锦,冯惠敏,赵飞,田桂萍,孟庆洁,洪伟

《中国工程科学》 2019年第21卷第1期页码 104-112 doi: 10.15302/J-SSCAE-2019.01.015

摘要：

本文研究我国主要建材产品生产所用的水泥灰岩、玻璃用硅质原料、建筑卫生陶瓷用黏土矿原料（高岭土）、高纯石英和石墨五种非金属矿产资源的强国建设战略，确定建材非金属矿产资源发展的战略思路与目标，指出加强矿区规划与保护、建设供应示范基地和标准原料基地、加快推进战略性资源储备制度等重点任务，提出设立矿产资源强国建设领导小组、完善矿产资源原料产品标准体系建设、加强人才培养体系建设、加强矿产资源法律法规制定与实施等保障措施。

关键词：建材强国战略水泥灰岩玻璃用硅质原料建筑卫生陶瓷用黏土矿原料（高岭土）高纯石英石墨

HTML PDF 收藏

A review of systematic evaluation and improvement in the big data environment

Feng YANG, Manman WANG

《工程管理前沿（英文）》 2020年第7卷第1期页码 27-46 doi: 10.1007/s42524-020-0092-6

摘要： The era of big data brings unprecedented opportunities and challenges to management research. As one of the important functions of management decision-making, evaluation has been given more functions and application space. Exploring the applicable evaluation methods in the big data environment has become an important subject of research. The purpose of this paper is to provide an overview and discussion of systematic evaluation and improvement in the big data environment. We first review the evaluation methods based on the main analytic techniques of big data such as data mining, statistical methods, optimization and simulation, and deep learning. Focused on the characteristics of big data (association feature, data loss, data noise, and visualization), the relevant evaluation methods are given. Furthermore, we explore the systematic improvement studies and application fields. Finally, we analyze the new application areas of evaluation methods and give the future directions of evaluation method research in a big data environment from six aspects. We hope our research could provide meaningful insights for subsequent research.

关键词： big data evaluation methods systematic improvement big data analytic techniques data mining

HTML PDF 收藏

Data quality assessment for studies investigating microplastics and nanoplastics in food products: Arecurrent data reliable?

《环境科学与工程前沿（英文）》 2023年第17卷第8期 doi: 10.1007/s11783-023-1694-0

摘要：

● Data quality assessment criteria for MP/NPs in food products were developed.

关键词： Microplastic Nanoplastic Food products Data quality Human health risk

HTML PDF 收藏

Blockchain application in healthcare service mode based on Health Data Bank

Jianxia GONG, Lindu ZHAO

《工程管理前沿（英文）》 2020年第7卷第4期页码 605-614 doi: 10.1007/s42524-020-0138-9

摘要： Blockchain is commonly considered a potential disruptive technology. Moreover, the healthcare industry has experienced rapid growth in the adoption of health information technology, such as electronic health records and electronic medical records. To guarantee data privacy and data security as well as to harness the value of health data, the concept of Health Data Bank (HDB) is proposed. In this study, HDB is defined as an integrated health data service institution, which bears no “ownership” of health data and operates health data under the principal–agent model. This study first comprehensively reviews the main characters of blockchain and identifies the blockchain-based healthcare industry projects and startups in the areas of health insurance, pharmacy, and medical treatment. Then, we analyze the fundamental principles of HDB and point out four challenges faced by HDB’s sustainable development: (1) privacy protection and interoperability of health data; (2) data rights; (3) health data supervision; (4) and willingness to share health data. We also analyze the important benefits of blockchain adoption in HDB. Furthermore, three application scenarios including distributed storage of health data, smart-contract-based healthcare service mode, and consensus-algorithm-based incentive policy are proposed to shed light on HDB-based healthcare service mode. In the end, this study offers insights into potential research directions and challenges.

关键词： Health Data Bank blockchain data assets smart contract incentive mechanism

HTML PDF 收藏

Challenges to Engineering Management in the Big Data Era

Yong Shi

《工程管理前沿（英文）》 2015年第2卷第3期页码 293-303 doi: 10.15302/J-FEM-2015042

摘要： This paper presents a review of the challenges to engineering management in the Big Data Era as well as the Big Data applications. First, it outlines the definitions of big data, data science and intelligent knowledge and the history of big data. Second, the paper reviews the academic activities about big data in China. Then, it elaborates a number of challenging big data problems, including transforming semi-structured and non-structured data into “structured format” and explores the relationship of data heterogeneity, knowledge heterogeneity and decision heterogeneity. Furthermore, the paper reports various real-life applications of big data, such as financial and petroleum engineering and internet business.

关键词： big data data science intelligent knowledge engineering management real-life applications

HTML PDF 收藏

Intelligent data analytics is here to change engineering management

Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG

《工程管理前沿（英文）》 2017年第4卷第1期页码 41-48 doi: 10.15302/J-FEM-2017003

摘要： A great deal of scientific research in the world aims at discovering the facts about the world so that we understand it better and find solutions to problems. Data enabling technology plays an important role in modern scientific discovery and technologic advancement. The importance of good information was long recognized by prominent leaders such as Sun Tzu and Napoleon. Factual data enables managers to measure, to understand their businesses, and to directly translate that knowledge into improved decision making and performance. This position paper argues that data analytics is ready to change engineering management in the following areas: 1) by making relevant historical data available to the manager at the time when it’s needed; 2) by filtering out actionable intelligence from the ocean of data; and 3) by integrating useful data from multiple sources to support quantitative decision-making. Considering the unique need for engineering management, the paper proposes researchable topics in the two broad areas of data acquisition and data analytics. The purpose of the paper is to provoke discussion from peers and to encourage research activity.

关键词： engineering management project management big data data analytics planning execution

HTML PDF 收藏

Special issue: Innovative applications of big data and artificial intelligence

《工程管理前沿（英文）》 2022年第9卷第4期页码 517-519 doi: 10.1007/s42524-022-0234-0

HTML PDF 收藏

标题作者时间类型操作

Traffic services for vehicles: the process from receiving raw probe data to space-time diagrams and the

Markus AUER, Hubert REHBORN, Sven-Eric MOLZAHN, Micha KOLLER

期刊论文

From Signal to Knowledge: The Diagnostic Value of Raw Data in the Artificial Intelligence Predictionof Human Data for the First Time

Bingxi He,Yu Guo,Yongbei Zhu,Lixia Tong,Boyu Kong,Kun Wang,Caixia Sun,Hailin Li,Feng Huang,Liwei Wu,Meng Wang,Fanyang Meng,Le Dou,Kai Sun,Tong Tong,Zhenyu Liu,Ziqi Wei,Wei Mu,Shuo Wang,Zhenchao Tang,

期刊论文

Decision Support System for emergency scheduling of raw water supply systems with multiple sources

Qi WANG, Shuming LIU, Wenjun LIU, Zoran KAPELAN, Dragan SAVIC

期刊论文

Optimization and modeling of biohydrogen production by mixed bacterial cultures from raw cassava starch

Shaojie Wang,Zhihong Ma,Ting Zhang,Meidan Bao,Haijia Su

期刊论文

Silver-catalyzed bioleaching for raw low-grade copper sulphide ores

Tianlong DENG, Yafei GUO, Mengxia LIAO, Dongchan LI

期刊论文

受污染水源水的生物处理工艺试验研究

桑军强,王志农,孟庆宇,张锡辉,何长义