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The application of marine meteorological observation in tropical cyclone data assimilation

Wan Qilin,He Jinhai

Strategic Study of CAE 2012, Volume 14, Issue 10,   Pages 33-42

Abstract: assimilation technology for enhancing the efficiency of data utilization.In this paper, the multi scale/block batch wise data assimilation is suggested to perform the test oftropical cyclone data assimilation.The results show: the multi scale/block batch wise data assimilation can be appropriate for the dataerror covariance required by tropical cyclone data assimilation, also can use effectively the marine

Keywords: marine meteorological observation     the efficiency of data utilization     multi scale/block batch wise dataassimilation     tropical cyclone initial circulation    

Construction and Application of a Regional Kilometer-Scale Carbon Source and Sink Assimilation Inversion

Lifeng Guo,Xiaoye Zhang,Junting Zhong,Deying Wang,Changhong Miao,Licheng Zhao,Zijiang Zhou,Jie Liao,Bo Hu,Lingyun Zhu,Yan Chen,

Engineering doi: 10.1016/j.eng.2023.02.017

Abstract: The MVS approach relies on the top-down assimilation and inversion of atmospheric CO2 concentrationsHowever, the regional high-resolution assimilation and inversion method is still in its initial stagekilometer level by coupling proper orthogonal decomposition (POD) with four-dimensional variational (4DVar) dataassimilation based on the weather research and forecasting–greenhouse gas (WRF–GHG) model.Atmospheric CO2 data were collected from six ground-based monitoring sites in Shanxi to verify

Keywords: CCMVS-R     Regional carbon assimilation system     Anthropogenic carbon emissions     CO2     POD 4DVar    

LYX: A novel aerobic bacterium with advantage of removing nitrate high effectively by assimilation and

Yuxin Li, Jiayin Ling, Pengcheng Chen, Jinliang Chen, Ruizhi Dai, Jinsong Liao, Jiejing Yu, Yanbin Xu

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 4, doi: 10.1007/s11783-020-1349-3

Abstract: Abstract • Pseudomonas mendocina was first reported for aerobic nitrate removal. • It removed 90% of NO3−-N in 24 h under aerobic conditions. • This strain converted NO3−-N to bio-nitrogen (37.9%) and gaseous nitrogen (49.7%). • Inoculation of this strain increased sludge denitrification rate by 4.3 times. The problem of nitrate accumulation in aerobic tank and total nitrogen excessive discharge in effluent was very common in traditional livestock and poultry farming wastewater treatment systems owing to the lengthy process flow and low process control level. A strain LYX of aerobic bacterium was isolated from the activated sludge of a wastewater treatment system in a pig farm, which could remove nitrate effectively in aerobic tank and was identified Pseudomonas mendocina by 16S rRNA sequencing. Under the condition of nitrate as the sole nitrogen source, this strain removed over 90% of NO3−-N with an initial concentration of 110 mg/L under aerobic conditions within 48 hours. Among them, 37.9% of NO3−-N was assimilated into Bio-N, about 51.9% was reduced to gaseous nitrogen and less than 0.5% of nitrogen was replaced by NO2−-N and NH4+-N, 9.7% NO3−-N remained in the effluent at the end. At the same time, four key genes (napA, nirK, norB and nosZ) related to nitrate nitrogen removal were expressed during the denitrification process of P. mendocina LYX, in which the transcription level of the indicator genes of this aerobic denitrifying bacterium (napA) was the highest. In addition, it was found with the 15N tracer technique that inoculation of this strain on sludge increased the amount of nitrogen loss from 9.26 nmol N/(g·h) to 23.835 nmol N/(g·h). Therefore, P. medocina LYX is a potential bioagent for advanced nitrogen removal by assimilating and reducing nitrate simultaneously in aerobic tanks.

Keywords: Pseudomonas mendocina     Aerobic nitrate removal     15N tracing technique     Denitrification assimilatively and disimilatively     Aerobic denitrifying genes    

Application and prospect of a new generation of numerical weather prediction system (GRAPES)

Chen Dehui,Xue Jishan,Shen Xueshun,Sun Jian,Wan Qilin,Jin Zhiyan,Li Xingliang

Strategic Study of CAE 2012, Volume 14, Issue 9,   Pages 46-54

Abstract:

The global/regional assimilation and prediction system of a new generation

Keywords: numerical prediction     weather forecast     global/regional unified model     dynamic framework     data assimilation    

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

Feng YANG, Manman WANG

Frontiers of Engineering Management 2020, Volume 7, Issue 1,   Pages 27-46 doi: 10.1007/s42524-020-0092-6

Abstract: The era of big data brings unprecedented opportunities and challenges to management research.Exploring the applicable evaluation methods in the big data environment has become an important subjectpaper is to provide an overview and discussion of systematic evaluation and improvement in the big dataWe first review the evaluation methods based on the main analytic techniques of big data such as dataFocused on the characteristics of big data (association feature, data loss, data noise, and visualization

Keywords: big data     evaluation methods     systematic improvement     big data analytic techniques     data mining    

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

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1694-0

Abstract:

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

Keywords: Microplastic     Nanoplastic     Food products     Data quality     Human health risk    

Blockchain application in healthcare service mode based on Health Data Bank

Jianxia GONG, Lindu ZHAO

Frontiers of Engineering Management 2020, Volume 7, Issue 4,   Pages 605-614 doi: 10.1007/s42524-020-0138-9

Abstract: To guarantee data privacy and data security as well as to harness the value of health data, the conceptof 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.; (2) data rights; (3) health data supervision; (4) and willingness to share health data.

Keywords: Health Data Bank     blockchain     data assets     smart contract     incentive mechanism    

Challenges to Engineering Management in the Big Data Era

Yong Shi

Frontiers of Engineering Management 2015, Volume 2, Issue 3,   Pages 293-303 doi: 10.15302/J-FEM-2015042

Abstract: as the Big Data applications.First, it outlines the definitions of big data, data science and intelligent knowledge and the historyof big data.Second, the paper reviews the academic activities about big data in China.and non-structured data into “structured format” and explores the relationship of data heterogeneity

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

Intelligent data analytics is here to change engineering management

Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG

Frontiers of Engineering Management 2017, Volume 4, Issue 1,   Pages 41-48 doi: 10.15302/J-FEM-2017003

Abstract: Data enabling technology plays an important role in modern scientific discovery and technologic advancementFactual data enables managers to measure, to understand their businesses, and to directly translate thatareas: 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 dataacquisition and data analytics.

Keywords: engineering management     project management     big data     data analytics     planning     execution    

Special issue: Innovative applications of big data and artificial intelligence

Frontiers of Engineering Management 2022, Volume 9, Issue 4,   Pages 517-519 doi: 10.1007/s42524-022-0234-0

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

Omid ABBASZADEH,Ali AMIRI,Ali Reza KHANTEYMOORI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12,   Pages 1059-1068 doi: 10.1631/FITEE.1400398

Abstract: 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.

Keywords: Data stream     Classificaion     Ensemble classifiers     Concept drift    

Methodological considerations for redesigning sustainable cropping systems: the value of data-mininglarge and detailed farm data sets at the cropping system level

Nicolas MUNIER-JOLAIN, Martin LECHENET

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 1,   Pages 21-27 doi: 10.15302/J-FASE-2019292

Abstract: Large data sets collected from real farms allow for the development of innovative methods to produceData mining methods allow for the diversity of systems to be considered holistically and can take intouse and their effect on farm performance, we advocate further investment in the development of large data

Keywords: data mining     holistic     Integrated Pest Management     economics     DEPHY network.    

Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Frontiers in Energy doi: 10.1007/s11708-023-0912-6

Abstract: With the promotion of “dual carbon” strategy, data center (DC) access to high-penetration renewable energyIn this paper, a multi-timescale optimal scheduling model is established for interconnected data centers

Keywords: model predictive control     interconnected data center     multi-timescale     optimized scheduling     distributed    

Big data and machine learning: A roadmap towards smart plants

Frontiers of Engineering Management   Pages 623-639 doi: 10.1007/s42524-022-0218-0

Abstract: components are smart sensing, mobile communication, Internet of Things, modelling and simulation, advanced dataessential element to this transformation is the exploitation of large amounts of historical process dataand large volumes of data generated in real-time by smart sensors widely used in industry.Exploitation of the information contained in these data requires the use of advanced machine learning

Keywords: big data     machine learning     artificial intelligence     smart sensor     cyber–physical system     Industry 4.0    

Clinical research of traditional Chinese medicine in big data era

Junhua Zhang,Boli Zhang

Frontiers of Medicine 2014, Volume 8, Issue 3,   Pages 321-327 doi: 10.1007/s11684-014-0370-y

Abstract:

With the advent of big data era, our thinking, technology and methodology are being transformed.Data-intensive scientific discovery based on big data, named “The Fourth Paradigm,” has becomeof diagnosis and treatment, and genomic data have been accumulated dramatically, which generates bigdata in medical field for clinical research and assessment.creation, data analysis technology and big-data professionals fostering and training.

Keywords: big data     traditional Chinese medicine     clinical evaluation     evidence based medicine    

Title Author Date Type Operation

The application of marine meteorological observation in tropical cyclone data assimilation

Wan Qilin,He Jinhai

Journal Article

Construction and Application of a Regional Kilometer-Scale Carbon Source and Sink Assimilation Inversion

Lifeng Guo,Xiaoye Zhang,Junting Zhong,Deying Wang,Changhong Miao,Licheng Zhao,Zijiang Zhou,Jie Liao,Bo Hu,Lingyun Zhu,Yan Chen,

Journal Article

LYX: A novel aerobic bacterium with advantage of removing nitrate high effectively by assimilation and

Yuxin Li, Jiayin Ling, Pengcheng Chen, Jinliang Chen, Ruizhi Dai, Jinsong Liao, Jiejing Yu, Yanbin Xu

Journal Article

Application and prospect of a new generation of numerical weather prediction system (GRAPES)

Chen Dehui,Xue Jishan,Shen Xueshun,Sun Jian,Wan Qilin,Jin Zhiyan,Li Xingliang

Journal Article

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

Feng YANG, Manman WANG

Journal Article

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

Journal Article

Blockchain application in healthcare service mode based on Health Data Bank

Jianxia GONG, Lindu ZHAO

Journal Article

Challenges to Engineering Management in the Big Data Era

Yong Shi

Journal Article

Intelligent data analytics is here to change engineering management

Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG

Journal Article

Special issue: Innovative applications of big data and artificial intelligence

Journal Article

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

Omid ABBASZADEH,Ali AMIRI,Ali Reza KHANTEYMOORI

Journal Article

Methodological considerations for redesigning sustainable cropping systems: the value of data-mininglarge and detailed farm data sets at the cropping system level

Nicolas MUNIER-JOLAIN, Martin LECHENET

Journal Article

Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Journal Article

Big data and machine learning: A roadmap towards smart plants

Journal Article

Clinical research of traditional Chinese medicine in big data era

Junhua Zhang,Boli Zhang

Journal Article