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 119

会议视频 3

年份

2023 9

2022 11

2021 10

2020 13

2019 5

2018 11

2017 4

2016 4

2015 3

2014 6

2013 2

2012 3

2011 3

2010 4

2009 5

2008 3

2007 5

2006 5

2005 2

2004 2

展开︾

关键词

农业生态工程 5

农产品 3

数学模型 3

产品设计 2

农业科学 2

CA-QFD方法 1

CIMS 1

IHNI-1 1

MCNP 1

ORIGEN2 1

TRIZ 1

“互联网 +”现代农业 1

不确定性 1

中草药化学成分 1

主动回收 1

二氧化硅 1

云制造 1

产品优化设计 1

产品制备 1

展开︾

检索范围：

排序：展示方式：

Factors influencing near infrared spectroscopy analysis of agro-products: a review

Xiao XU, Lijuan XIE, Yibin YING

《农业科学与工程前沿（英文）》 2019年第6卷第2期页码 105-115 doi: 10.15302/J-FASE-2019255

摘要：

The near infrared (NIR) spectroscopy technique has wide applications in agriculture with the advantages of being nondestructive, sensitive, safe and rapid. However, there are still more than 40 error sources influencing the robustness and accuracy of its calibration and operation. Environmental, sample and instrument factors that influence the analysis are discussed in this review, including temperature, humidity and other factors that introduce uncertainty. Error sources from livestock products, fruit and vegetables, which are the most common objects in the field of NIR analysis, are also emphasized in the second part. In addition, studies utilizing different instruments, spectral pretreatments, variable selection methods, wavelength ranges, detection modes and calibration methods are tabulated to illustrate the complications they introduce and how they influence NIR analysis. It is suggested that large scale of data with abundant varieties can be used to build a more robust calibration model, in order to improve the robustness and accuracy of the NIR analytical model, and overcome problems caused by confining analysis to too many uniform samples.

关键词： agro-product error source influence factor near infrared spectroscopy

HTML PDF 收藏

Valorization of agro-industrial fruit peel waste to fluorescent nanocarbon sensor: Ultrasensitive detection

《环境科学与工程前沿（英文）》 2022年第16卷第3期 doi: 10.1007/s11783-021-1461-z

摘要：

• Transformation of agro-industrial waste to value-added material via green chemistry.

关键词： Agro-industrial waste Orange peel Valorization Nanodiamond-like carbon Atropine sulphate Fluorescence sensing

HTML PDF 收藏

农产品加工业技术创新体系建设刍议

卢良恕,魏益民

《中国工程科学》 2004年第6卷第5期页码 29-31

摘要：

发展农产品加工业是新时期我国产业结构调整的一项重要任务，是农业可持续发展的关键措施，是增加农民收入的主要渠道。农产品加工业依赖于制造业的发展，依赖于加工技术的发展，依赖于食品科学与技术的发展，也依赖于现代农业的发展。为了实现全面建设小康社会的奋斗目标，发展农产品加工业，必须首先建设农产品加工技术创新体系。文章讨论了我国当前发展农产品加工业的必要性，农产品加工业发展存在的主要问题，提出了加快农产品加工技术创新体系建设的具体建议。

关键词：农产品食品食品工业技术创新

HTML PDF 收藏

建设农业生态工程治理与控制湖泊面源污染

卞有生

《中国工程科学》 2001年第3卷第5期页码 17-21

摘要：

文章从生态学角度对湖泊面源污染进行了深入分析，指出湖泊面源污染的实质是资源利用问题，并由此提出在湖区及湖泊水源区开展农业生态工程建设，降低资源消耗，减少污染物产生，达到控制和治理湖泊面源污染之目的。介绍了农业生态工程建设的一般程序、主要建设研究内容。最后列举北京市大兴县留民营村农业生态工程建设和胜利油田大型生态农场建设两个典型案例，具体介绍农业生态工程建设对发展经济、改善环境、减少化肥及农药用量、消除土壤污染、治理与控制面源污染的重要作用。

关键词：农业生态工程面源污染化肥农药

HTML PDF 收藏

大型农业生态工程的数学模型

卞有生,王天喜,陈正龙,崔斌

《中国工程科学》 2002年第4卷第7期页码 17-22

摘要：

文章在对胜利油田生态农场系统结构分析的基础上，根据农场规划目标，建立了由投入产出模型和线性规划模型相结合的经济发展数学模型。应用该模型指导农场的经济建设，取得了极好的效果，证明所建立的模型是正确的。

关键词：农业生态工程数学模型胜利油田

HTML PDF 收藏

中型农业生态工程的数学模型

卞有生,刘来福,徐汝梅

《中国工程科学》 2001年第3卷第11期页码 39-44

摘要：

章以北京大兴县留民营村为例，建立了中型（村庄级）农业生态工程的数学模型，该模型为分室模型，由8个分室组成，文中给出了各个分室的状态变量及控制变量，建立了各分室的数学模型，并应用该数学模型指导了留民营的实际生产建设，取得了良好结果。

关键词：农业生态工程数学模型状态变量控制变量

HTML PDF 收藏

农业生态工程中人工辅助能产投比的计算分析研究

卞有生,柳英昆,卞晶

《中国工程科学》 2006年第8卷第8期页码 28-32

摘要：

人工辅助能产投比的高低从总体上反映了农业生态系统的功能和生产效率，是系统结构功能的体现，是评价农业生态工程的重要指标。文章以河南新县10户农民为案例，具体介绍了人工辅助能产投比的计算研究方法，并报告了连续3年的研究结果。

关键词：农业生态工程能量产投比

HTML PDF 收藏

Oral product input to the GI tract: GIS an oral product performance technology

Gordon L. Amidon, Yasuhiro Tsume

《化学科学与工程前沿（英文）》 2017年第11卷第4期页码 516-520 doi: 10.1007/s11705-017-1658-7

摘要： The patient receives a pharmaceutical product, not a drug. The pharmaceutical products are formulated with a drug, an active ingredient to produce the maximum therapeutic effect after oral absorption. Therefore, it is the product we must optimize for the patients. In order to assure the safety and efficacy of pharmaceutical products, we need an predictive tool for oral product performance in patients. Currently, we are a surprisingly long way from accomplishing that objective. If the 20th century was the ‘age of the drug’, i.e., the ‘magic bullet’, the 21st century must become the ‘age of the guided missile’, i.e., the delivery system, including the form of the active pharmaceutical ingredient (API) (‘drug’). The physical form of the drug and the delivery system must be optimized to maximize the therapeutic benefits of pharmaceutical products for humans. Oral immediate release (IR) dosage forms cannot be optimal for all drugs or likely even any drugs (APIs). Still, the formulation of pharmaceutical products has to be optimized for patients. But how do we optimize oral delivery of drugs? It is usually through ‘trial and error’, in humans! We need a better way to optimize the oral dosage forms. We have suggested to select different dissolution methodologies for this optimization based on BCS Subclasses. In this article, we present the predicted drug dissolution profile of ketoconazole as a model drug from our laboratory utilizing a gastrointestinal simulator (GIS), which is an adaptation of the ASD system. GIS consists of three chambers representing stomach, duodenum, and jejunum, to create the human gastrointestinal tract-like environment and enable the control the gastric emptying rate. This dissolution system allows the monitoring of the drug dissolution phenomena and the observation of the supersaturation and the precipitation of pharmaceutical products, which is useful information to predict dissolution of pharmaceutical products. This system can provide the actual input needed to accurately predict the input into the systemic circulation required by many of the absorption prediction packages available today.

关键词： GIS in vivo predictive dissolution ketoconazole BCS subclassification supersaturation

HTML PDF 收藏

Review of sentiment analysis: An emotional product development view

《工程管理前沿（英文）》页码 592-609 doi: 10.1007/s42524-022-0227-z

摘要： Conveying consumers’ specific emotions in new products, referred to as emotional product development or emotional design, is strategically crucial for manufacturers. Given that sentiment analysis (SA) can extract and analyze people’s opinions, sentiments, attitudes, and perceptions regarding different products/services, SA-based emotional design may provide manufacturers with real-time, direct, and rapid decision support. Despite its considerable advancements and numerous survey and review articles, SA is seldom considered in emotional design. This study is among the first efforts to conduct a thorough review of SA from the view of emotional design. The comprehensive review of aspect-level SA reveals the following: 1) All studies focus on extracting product features by mixing technical product features and consumers’ emotional perceptions. Consequently, such studies cannot capture the relationships between technical and emotional attributes and thus cannot convey specific emotions to the new products. 2) Most studies use the English language in SA, but other languages have recently received more interest in SA. Furthermore, after conceptualizing emotion as Kansei and introducing emotional product development and Kansei Engineering, a review of the data-driven emotional design is then conducted. A few efforts start to study emotional design with the help of SA. However, these studies only focus on either analyzing consumers’ preferences on product features or extracting emotional opinions from online reviews, thus cannot realize data-driven emotional product development. Finally, some research opportunities are provided. This study opens a broad door to aspect-level SA and its integration with emotional product development.

关键词： sentiment analysis emotion product development Kansei Engineering

HTML PDF 收藏

Lean Product Development—Faster, Better … Cleaner?

Geert Letens

《工程管理前沿（英文）》 2015年第2卷第1期页码 52-59 doi: 10.15302/J-FEM-2015007

摘要： To address this challenge, lean product development has emerged to become the leading improvement methodology for companies toward the creation of a competitive advantage on innovation and technology leadership. While lean product development has its origin in the best practice studies of Japanese car manufacturers such as Toyota, it has been further elaborated in defence and aerospace organizations over the last two decades, and recently empirical evidence has become available for successful introductions in sectors different from the traditionally-studied environments. The primary purpose of this work is to untangle the fuzziness that still surrounds lean product development and to ground the key aspects of lean product development based on insights from six studies published in a special issue of the on this topic. This demonstrates how better and faster product development can be achieved through the integration of lean principles with the best of more traditional new product development (NPD) practices, into a holistic system that can be characterised by value-focused and risk-based decision making, the socio-technical integration of people and process, improved project, pipeline and portfolio management, optimized knowledge management, and the creation of a learning organization. Unfortunately, while the increasing global competition offers the potential to improve the quality of life for many, the spirit of faster, better, and cheaper also threatens to endanger the future of our planet as a whole. As the majority of a product’s social and ecological impacts are committed in the design phase, it, therefore, seems imperative to investigate the integration of lean product development and eco-design principles. As a result, this work also explores the symbiosis of both approaches through the identification of tools and methods that can support the triple bottom-line goals for a sustainable future of life and business.

关键词： lean product development sustainability engineering responsible design

HTML PDF 收藏

An energy consumption prediction approach of die casting machines driven by product parameters

《机械工程前沿（英文）》 2021年第16卷第4期页码 868-886 doi: 10.1007/s11465-021-0656-0

摘要： Die casting machines, which are the core equipment of the machinery manufacturing industry, consume great amounts of energy. The energy consumption prediction of die casting machines can support energy consumption quota, process parameter energy-saving optimization, energy-saving design, and energy efficiency evaluation; thus, it is of great significance for Industry 4.0 and green manufacturing. Nevertheless, due to the uncertainty and complexity of the energy consumption in die casting machines, there is still a lack of an approach for energy consumption prediction that can provide support for process parameter optimization and product design taking energy efficiency into consideration. To fill this gap, this paper proposes an energy consumption prediction approach for die casting machines driven by product parameters. Firstly, the system boundary of energy consumption prediction is defined, and subsequently, based on the energy consumption characteristics analysis, a theoretical energy consumption model is established. Consequently, a systematic energy consumption prediction approach for die casting machines, involving product, die, equipment, and process parameters, is proposed. Finally, the feasibility and reliability of the proposed energy consumption prediction approach are verified with the help of three die casting machines and six types of products. The results show that the prediction accuracy of production time and energy consumption reached 91.64% and 85.55%, respectively. Overall, the proposed approach can be used for the energy consumption prediction of different die casting machines with different products.

关键词： die casting machine energy consumption prediction product parameters

HTML PDF 收藏

A hybrid method for product low-end disruptive innovation

《机械工程前沿（英文）》 2022年第17卷第3期 doi: 10.1007/s11465-022-0690-6

摘要： Product innovation is often a process for improving existing products. Low-end disruptive innovation (LDI) enables a product to meet the most price-sensitive customers in the low-end market. The existing LDI methods are mainly based on unnecessary characteristics of disruptive innovations. Thus, they cannot easily identify and respond to the LDI design needs. This study proposes a hybrid method for the product LDI in two levels of the product design based on the summarized definition and essential characteristics of LDI. Feasible areas of the product LDI are determined using a hybrid relational function model to identify the maturity of dominant technologies. The technologies are identified through the technical search and evaluation of the feasible area for innovation to form an initial LDI scheme. Then, the product function is optimized using the trimming concept of theory of inventive problem solving based on the characteristics of LDI. The final LDI scheme is formed and evaluated based on the essential characteristics of the product LDI. The feasibility of the proposed method is verified in the design of a new dropping pill machine.

关键词： low-end disruptive innovation product design design improvement theory of inventive problem solving TRIZ trimming

HTML PDF 收藏

Total phosphorus concentrations in surface water of typical agro- and forest ecosystems in China, 2004

Juan XIE,Xinyu ZHANG,Zhiwei XU,Guofu YUAN,Xinzhai TANG,Xiaomin SUN,D.J. BALLANTINE

《环境科学与工程前沿（英文）》 2014年第8卷第4期页码 561-569 doi: 10.1007/s11783-013-0601-5

摘要： The concentrations of total phosphorus (TP) from 83 surface water sampling sites in 29 of the Chinese Ecosystem Research Network (CERN) monitored ecosystems, representing typical agro- and forest ecosystems, were assessed using monitoring data collected between 2004 and 2010 from still and flowing surface water. Results showed that, TP concentrations were significantly higher in agro-ecosystems than those in forest ecosystems both for still and flowing surface water. For agro-ecosystems, TP concentrations in the southern area were significantly higher than those in the northern and north-western areas for both still and flowing surface water, however no distinct spatial pattern was observed for forest ecosystems. In general, the median values of TP within agro- and forest ecosystems did not exceed the Class V guideline for still (0.2 mg·L ) or flowing (0.4 mg·L ) surface water, however, surface water at some agro-ecosystem sampling sites was frequently polluted by TP. Elevated concentrations were mainly found in still surface water at the Changshu, Fukang, Linze and Naiman monitored ecosystems, where exceedance (>0.2 mg·L ) frequencies varied from 43% to 78%. For flowing water, elevated TP concentrations were found at the Hailun, Changshu and Shapotou monitored ecosystems, where exceedance (>0.4 mg·L ) frequencies varied from 29% to 100%. Irrational fertilization, frequent irrigation and livestock manure input might be the main contributors of high TP concentrations in these areas, and reduced fertilizer applications, improvements in irrigation practices and centralized treatment of animal waste are necessary to control P loss in these TP vulnerable zones.

关键词： Chinese Ecosystem Research Network (CERN) total phosphorus (TP) surface water ecosystem type spatial variation

HTML PDF 收藏

Isomorphism analysis on generalized modules oriented to the distributed parameterized intelligent product

Shasha ZENG, Weiping PENG, Tiaoyu LEI

《机械工程前沿（英文）》 2020年第15卷第1期页码 12-23 doi: 10.1007/s11465-019-0555-9

摘要： The distributed parameterized intelligent product platform (DPIPP) contains many agents of a product minimum approximate autonomous subsystem (generalized module). These distributed agents communicate, coordinate, and cooperate using their knowledge and skills and eventually accomplish the design for mass customization in a loosely coupled environment. In this study, a new method of isomorphism analysis on generalized modules oriented to DPIPP is proposed. First, on the basis of the bill of material partition and generalized module mining, the parameters of the main characteristics are extracted to construct the main characteristic parameter matrix. Second, similarity calculation of generalized modules is realized by improving the clustering using representatives algorithm, and isomorphism model sets are obtained. Generalized modules with a similar structure are combined to complete the isomorphism analysis. The effectiveness of the proposed method is verified by taking high- and medium-pressure valve data as an example.

关键词： distributed parameterized intelligent product platform generalized module isomorphism analysis product family