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Anensemble method for data stream classification in the presence of concept drift

Omid ABBASZADEH,Ali AMIRI,Ali Reza KHANTEYMOORI

《信息与电子工程前沿（英文）》 2015年第16卷第12期页码 1059-1068 doi: 10.1631/FITEE.1400398

摘要： One recent area of interest in computer science is data stream management and processing. By ‘data stream’, we refer to continuous and rapidly generated packages of data. Specific features of data streams are immense volume, high production rate, limited data processing time, and data concept drift; these features differentiate the data stream from standard types of data. An issue for the data stream is classification of input data. A novel ensemble classifier is proposed in this paper. The classifier uses base classifiers of two weighting functions under different data input conditions. In addition, a new method is used to determine drift, which emphasizes the precision of the algorithm. Another characteristic of the proposed method is removal of different numbers of the base classifiers based on their quality. Implementation of a weighting mechanism to the base classifiers at the decision-making stage is another advantage of the algorithm. This facilitates adaptability when drifts take place, which leads to classifiers with higher efficiency. Furthermore, the proposed method is tested on a set of standard data and the results confirm higher accuracy compared to available ensemble classifiers and single classifiers. In addition, in some cases the proposed classifier is faster and needs less storage space.

关键词： Data stream Classificaion Ensemble classifiers Concept drift

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Effects of riparian land use on water quality and fish communities in the headwater stream of the Taizi

Sen DING, Yuan ZHANG, Bin LIU, Weijing KONG, Wei MENG

《环境科学与工程前沿（英文）》 2013年第7卷第5期页码 699-708 doi: 10.1007/s11783-013-0528-x

摘要： Riparian land use remains one of the most significant impacts on stream ecosystems. This study focuses on the relationship between stream ecosystems and riparian land use in headwater regions. Four riparian land types including forest, grassland, farmland, and residential land were examined to reveal the correlation between stream water and fish communities in headwater streams of the Taizi River in north-eastern China. Four land types along riparian of 3 km in length were evaluated at 25, 50, 100, 200 and 500 m widths, respectively. Generally, the results found a significant relationship between riparian land uses and stream water quality. Grassland was positively correlated with water quality parameters (conductivity and total dissolved solids) at scales from 100 to 500 m riparian width. Farmland and residential land was negatively correlated with water quality parameters at scales from 25 to 500 m and from 50 to 200 m riparian widths, respectively. Although the riparian forest is important for maintaining habitat diversity and fish communities, the results found that only fish communities were significantly correlated with the proportion of riparian farmland. Farmland had a positive correlation with individual fish abundance within a riparian corridor of 25 to 50 m, but a negative correlation with fish diversity metrics from 25 to 100 m. This study indicates that effective riparian management can improve water quality and fish communities in headwater streams.

关键词： fish water quality land use riparian buffer headwater stream

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Residence time distribution and modeling of the liquid phase in an impinging stream reactor

Xingjun WANG, Xianhui HU, Lishun HU, Guangsuo YU, Fuchen WANG,

《化学科学与工程前沿（英文）》 2010年第4卷第3期页码 353-359 doi: 10.1007/s11705-009-0262-x

摘要： Based on some experimental investigations of liquid phase residence time distribution (RTD) in an impinging stream reactor, a two-dimensional plug-flow dispersion model for predicting the liquid phase RTD in the reactor was proposed. The calculation results of the model can be in good agreement with the experimental RTD under different operating conditions. The axial liquid dispersion coefficient increases monotonously with the increasing liquid flux, but is almost independent of gas flux. As the liquid flux and the gas flux increase, the liquid dispersion coefficient of center-to-wall decreases. The axial liquid dispersion coefficient is much larger than that of center-to-wall, which indicates that the liquid RTD is dominated mainly by axial liquid dispersion in the impinging stream reactor.

关键词： RTD liquid dispersion reactor liquid independent

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FAAD：一种无监督快速准确的数据流上多维序列异常检测方法 Regular Papers

Bin LI, Yi-jie WANG, Dong-sheng YANG, Yong-mou LI, Xing-kong MA

《信息与电子工程前沿（英文）》 2019年第20卷第3期页码 388-404 doi: 10.1631/FITEE.1800038

摘要：最近，序列异常检测被广泛应用于许多领域。这些领域中的序列数据在数据流上通常是多维的。设计同时满足检测精度和速度的数据流上多维序列异常检测方法是一个挑战。因为：（1）序列数据和庞大状态空间的维度冗余导致序列建模能力较差；（2）异常检测无法适应数据流的高速性，尤其是概念漂移会降低检测率。一方面，大多数现有序列异常检测方法集中在单维序列。另一方面，多维序列研究主要集中在静态数据集而非数据流。为提高数据流上多维序列异常检测性能，提出一种新型无监督快速和准确异常检测（fast and accurate anomaly detection，FAAD）方法，该方法包括3种算法。首先，采用一种“信息计算和最小生成树聚类”（information calculation and minimum spanning tree cluster，IMC）方法减少冗余维度。其次，为加速模型构建确保数据流上序列的检测率，提出一种“基于索引概率后缀树的随机抽样和子序列划分”（random sampling and subsequence partitioning based on the index probabilistic suffix tree，RSIPST）方法。最后，“基于模型动态调整的异常缓冲”（anomaly buffer based on model dynamic adjustment，ABMDA）方法显著降低数据流中概念漂移的影响。在流平台Storm上实施FAAD检测多维日志审计数据。与现有异常检测方法相比，FAAD在检测精度和速度方面不受概念漂移影响，具有良好性能。

关键词：数据流；多维序列；异常检测；概念漂移；特征选择

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Chaotic behavior of LNG after stratification in main stream region of storage tank

WANG Jingjing, MA Xiaoqian

《能源前沿（英文）》 2008年第2卷第4期页码 514-518 doi: 10.1007/s11708-008-0076-4

摘要： A study of the chaotic behavior of liquefied natural gas (LNG) after stratification in the main stream region of a storage tank was conducted. Based on non-linear dynamics, a 2-dimensional Rayleigh-Benard convection model was developed to simulate the convection, Lorenz equations of LNG convection were deduced from conservation equations, and the Runge-Kutta method was used to solve the equations. The results showed that when = 1.33, 106 < < 1470, chaos was obtained, which meant that the velocity field and the temperature field were highly unsteady. In addition, the influence of temperature and scale factor on the solutions and the corresponding range of parameters were studied. The results revealed that the chaos in LNG convection resulted from the interaction of buoyancy and viscid forces. A small quantity of heat impacting the storage tank would lead to a strong and unstable convection of LNG in the main stream region.

关键词： Runge-Kutta non-linear corresponding temperature addition

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川江载货汽车滚装运输贡献的评估与发展政策

许茂增,吴旻

《中国工程科学》 2008年第10卷第2期页码 31-34

摘要：

介绍了川江地区的运输环境，阐述了滚装运输产生的行业背景、发展历程和现状；提出以经济、社会、运输、节能、废气排放的指标，评价川江载货汽车滚装运输对区域经济社会发展的贡献，建立了运费节约和能源节约指标的计算模型，并以2005年的统计数据和专项调查数据为基础进行了实际评价。结果表明，川江载货汽车滚装运输兼具降低社会运输成本、节能、环保与生态价值，有助于长江流域经济社会的可持续发展；分析了滚装运输发展的机遇及面临的挑战，提出了促进滚装运输发展的政策和措施。

关键词：川江滚装运输评价指标计算模型发展政策

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长江干流水下岸坡侵蚀自动识别 Article

颜阁, 程和琴, 姜泽宇, 滕立志, 唐明, 石天, 姜月华, 杨国强, 周权平

《工程（英文）》 2022年第19卷第12期页码 50-61 doi: 10.1016/j.eng.2021.03.027

摘要：

识别河岸侵蚀的风险是确保早期预警和预防或控制包括长江在内的河流集水区崩岸的一项重要挑战。本文引入一种基于地貌要素的算法，通过调整多波束回波探测数据的平坦度来提取河岸侵蚀信息。该算法绘制了10 个水下地貌形态要素，包括坡、坡脚、水平面、脊、顶、谷、凹陷、凸起、坑和坡肩。利用21 个平坦度值构建水下河岸侵蚀特征的识别策略。结果表明：当平坦度为10°时，作为侵蚀载体的岸坡陡坎被坡要素覆盖。平坦度为0°时，冲刷坑和河岸破损由河岸附近的坑要素和岸坡中的凹陷表示。河道水下沙波是加速河岸侵蚀的重要因素，尤其是靠近河岸坡脚的沙波；沙波的临界平坦度为3°。分析了水下地貌形
态要素的分布，并用于绘制河岸侵蚀库存图。分析结果表明，近岸区水深较大，易形成较大的冲刷坑和较长的河岸陡坎。窝崩往往发生在较长的岸坡处，以缩短其长度。经讨论陆地、海洋和河流环境中平坦度值的不同设置，得出的结论是，多样化的平坦度值能够显著识别河流水下地貌形态。因此，本研究为基于平坦度的河流水下地貌形态要素识别提供参考，增强了从大量多波束测深数据定位水下岸坡失稳迹象与风险的能力。

关键词：多波束测深数据形态要素河岸侵蚀水下陡坎冲刷坑崩岸

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工程化仿生血小板膜包覆纳米颗粒阻断金黄色葡萄球菌的细胞毒性并防止致命的全身感染 Article

Jwa-Kyung Kim, Satoshi Uchiyama, Hua Gong, Alexandra Stream, Liangfang Zhang, Victor Nizet

《工程（英文）》 2021年第7卷第8期页码 1149-1156 doi: 10.1016/j.eng.2020.09.013

摘要：

金黄色葡萄球菌（S. aureus）是一种常见的人类病原体，它可以引发严重的侵袭性感染，如菌血症、败血症和心内膜炎，具有较高的发病率和死亡率。然而由于细菌的抗生素耐药性增强，如耐甲氧西林金黄色葡萄球菌（MRSA），加剧了此类细菌的发病率和死亡率。金黄色葡萄球菌的发病机制是由毒素的分泌推动的，如膜损伤孔α毒素，它有不同的细胞靶点，包括上皮细胞、内皮细胞、白细胞和血小板。本文采用人体血小板膜包覆纳米颗粒（PNP）作为一种仿生诱饵策略，来中和金黄色葡萄球菌的毒素，并维持宿主细胞的防御功能。血小板膜包覆纳米颗粒保护血小板免受由金黄色葡萄球菌毒素带来的损伤，维持血小板活化和杀菌活性。血小板膜包覆纳米颗粒也同样保护巨噬细胞免受由金黄色葡萄球菌毒素带来的损伤，支持巨噬细胞进行氧化迸发、产生一氧化氮和维持其杀菌活性，并减少耐甲氧西林金黄色葡萄球菌诱导的中性粒细胞胞外杀菌网络。在感染系统性耐甲氧西林金黄色葡萄球菌的小鼠模型中，血小板膜包覆纳米颗粒制剂减少了血液中的细菌数量并防止小鼠发生死亡。总之，目前的研究结果证明了血小板膜包覆纳米颗粒的治疗优点，如中和毒素、保护细胞和增加宿主对侵袭性金黄色葡萄球菌感染的抵抗力。

关键词：纳米颗粒纳米海绵血小板金黄色葡萄球菌细菌毒素败血症

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PAC在人工流产术后计划生育关爱中的应用

钟慧玲

《中国工程科学》 2014年第16卷第5期页码 31-33

摘要：

文本研究人流后关爱（PAC）在人工流产术后计划生育关爱中的应用。选择2011年1月—2013年1月，武汉市蔡甸区计划生育服务站门诊进行人工流产的260 名病例为分析对象，根据其先后序号按照奇偶顺序分为关爱PAC组和对照组，每组130 例，对PAC组进行流产后关爱指导，而对照组只进行常规处理。一年后，共收回有效问卷248 份，其中关爱组126 份，对照组122 份。PAC组避孕知识和人流后保健知识掌握优良率均高于对照组，生活质量评分有明显优势，而重复流产率明显较低，育龄妇女满意率较高。其差异均有统计学意义（P<0.05）。高价值的PAC关爱，对于减少重复流产的概率和提高生活质量有着积极重要的意义。

关键词：人工流产流产后关爱计划生育关爱效果分析

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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

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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

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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

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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

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Value Engineering/Value Management Model and Application of Aerospace Projects

Wan-hua Qiu,Han-peng Zhang,Ze-Shui Xu,De-Sheng Wu

《工程管理前沿（英文）》 2015年第2卷第4期页码 373-377 doi: 10.15302/J-FEM-2015056

摘要： This paper presents a new space model developed by general value engineering/value management model. The authors take the function analysis, function optimization and function realization of the development object as the basic point, to get the final optimization structure by value evaluation, so as to improve the project quality and reduce the project cost. The final case shows that the application of this model can save about 18% of the time and considerable cost of the usually planned projects under the condition of quality assurance.

关键词： aerospace project value engineering value optimization value stream design structure matrix

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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