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Implementation and performance evaluation of advance metering infrastructure for Borneo-Wide Power Grid

Mujahid TABASSUM,Manas K. HALDAR,Duaa Fatima S. KHAN

Frontiers in Energy 2020, Volume 14, Issue 1,   Pages 192-211 doi: 10.1007/s11708-016-0438-2

Abstract: The centralized supervisory control and data acquisition systems (SCADA) are replaced by a wide areaaccess (WiMAX), wireless fidelity (Wi-Fi) and low power Wi-Fi, which are proposed for the distribution systems

Keywords： multiprotocol label switching (MPLS)     power grid     phasor measurement unit (PMU)     supervisory control and dataacquisition systems (SCADA)     wide area monitoring system (WAMS)     worldwide interoperability for microwave    

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Quality control based on electrode displacement and force in resistance spot welding

Chuntao JI, Lipeng DENG

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4,   Pages 412-417 doi: 10.1007/s11465-010-0114-x

Abstract: Data were collected via a multichannel high-speed data acquisition system and were analyzed with MATLAB

Keywords： aluminum     electrode displacement     electrode force     nugget size     data acquisition    

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Design and implementation of structural monitoring systems for Xihoumen Bridge (II): Implementations

Liu Zhiqiang,Li Na,Guo Jian,Feng Liangping,Song Gang

Strategic Study of CAE 2010, Volume 12, Issue 7,   Pages 101-106

Abstract: employing the design method proposed in the paper of Design and Implementation of Structural Monitoring Systemsresponses of the bridge are analyzed when the structural monitoring system is running and collecting dataThe distributed data acquisition and transmission system based on industrial Ethernet is applied and

Keywords： bridge     structural monitoring     industrial ethernet     distributed data acquisition and transmission system    

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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:

Redesigning cropping and farming systems to enhance their sustainability is mainly addressed in scientificLarge 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.    

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Characteristics of plankton Hg bioaccumulations based on a global data set and the implications for aquaticsystems with aggravating nutrient imbalance

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 3, doi: 10.1007/s11783-021-1471-x

Abstract:

• Hg bioaccumulation by phytoplankton varies among aquatic ecosystems.

Keywords： bioaccumulation     Physiological characteristics     A cross-system analysis     Nutrient compositions     Global data    

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Development and Prospect of Big Data Knowledge Engineering

Zheng Qinghua, Liu Huan, Gong Tieliang, Zhang Lingling, Liu Jun

Strategic Study of CAE 2023, Volume 25, Issue 2,   Pages 208-220 doi: 10.15302/J-SSCAE-2023.02.018

Abstract:

Big Data Knowledge Engineering is the infrastructure of artificial intelligenceIn this paper, we firstly elaborate on the background and connotation of big data knowledge engineeringand propose a research framework of “data knowledgeization, knowledge systematization, and knowledgeSecondly, we sort out the key technologies of knowledge acquisition and fusion, knowledge representationdirections including complex big data knowledge acquisition, knowledge+data hybrid learning, and brain-inspired

Keywords： Big Data Knowledge Engineering     Knowledge Acquisition     Knowledge Fusion     Knowledge Representation     Knowledge    

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Blockchain in energy systems: values, opportunities, and limitations

Frontiers in Energy 2022, Volume 16, Issue 1,   Pages 9-18 doi: 10.1007/s11708-022-0818-8

Abstract: Second, some promising blockchain-based applications in energy systems are presented.Hopefully this perspective can help advance large-scale deployment of blockchain in energy systems.

Keywords： blockchain     immutability     energy trading     energy management     data synchronization    

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Multi-aperture optical imaging systems and their mathematical light field acquisition models Review Article

Qiming QI, Ruigang FU, Zhengzheng SHAO, Ping WANG, Hongqi FAN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 6,   Pages 823-844 doi: 10.1631/FITEE.2100058

Abstract: The mathematical tools simplify the quantitative design and evaluation of imaging systems for researchers

Keywords： Multi-aperture optical imaging system     Artificial compound eye     Light field camera     Camera array     Light field acquisition    

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Review of compact computational spectral information acquisition systems Review Articles

Hongya Song, Wenyi Zhang, Haifeng Li, Xu Liu, Xiang Hao,haox@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 8,   Pages 1119-1266 doi: 10.1631/FITEE.1900266

Abstract: years, computational methods have been introduced into spectral detection, and computational spectrum acquisitionThis paper highlights the advantages of computational spectrum acquisition implementations by comparing

Keywords： 光谱成像；计算成像；光谱仪    

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The Application of Risk Matrix to Acquisition Risk Evaluation for Weapon and Equipment

Li Zhongmin,Wei Yiming,Tang Shuchun,Chen Jian

Strategic Study of CAE 2006, Volume 8, Issue 6,   Pages 95-99

Abstract:

Risk evaluation is the basis of acquisition management for weapon and equipment.summarizing risk matrix widely used abroad, the paper firsdy discusses the application of risk matrix in acquisition

Keywords： risk matrix     risk evaluation     acquisition for weapon and equipment    

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Machine Learning and Data-Driven Techniques for the Control of Smart Power Generation Systems: An Uncertainty Review

Li Sun, Fengqi You

Engineering 2021, Volume 7, Issue 9,   Pages 1239-1247 doi: 10.1016/j.eng.2021.04.020

Abstract: The burgeoning era of machine learning (ML) and data-driven control (DDC) techniques promises an improvedand DDC at the level of monitoring, control, optimization, and fault detection of power generation systems

Keywords： Smart power generation     Machine learning     Data-driven control     Systems engineering    

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Concrete corrosion in wastewater systems: Prediction and sensitivity analysis using advanced extreme

Mohammad ZOUNEMAT-KERMANI, Meysam ALIZAMIR, Zaher Mundher YASEEN, Reinhard HINKELMANN

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 444-460 doi: 10.1007/s11709-021-0697-9

Abstract: This study considers the sulfuric acid corrosive factor in wastewater systems to simulate concrete mass

Keywords： sewer systems     environmental engineering     data-driven methods     sensitivity analysis    

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Data Analytics and Machine Learning for Smart Process Manufacturing: Recent Advances and Perspectivesin the Big Data Era Perspective

Chao Shang、 Fengqi You

Engineering 2019, Volume 5, Issue 6,   Pages 1010-1016 doi: 10.1016/j.eng.2019.01.019

Abstract: The burgeoning era of big data is influencing the process industries tremendously, providing unprecedentedTo attain this goal, data analytics and machine learning are indispensable.In this paper, we review recent advances in data analytics and machine learning applied to the monitoring

Keywords： Big data     Machine learning     Smart manufacturing     Process systems engineering    

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Deeper Chemical Perceptions for Better Traditional Chinese Medicine Standards Review

Jin-Jun Hou,Jian-Qing Zhang,Chang-Liang Yao,Rudolf Bauer,Ikhlas A. Khan,Wan-Ying Wu,De-an Guo

Engineering 2019, Volume 5, Issue 1,   Pages 83-97 doi: 10.1016/j.eng.2018.12.005

Abstract: for liquid chromatography–high-resolution mass spectrometry (LC–HRMS), smart triggering data-dependentacquisition of LC–HRMS, target analysis with liquid chromatography–mass spectrometry (LC–MS), supercritical fluid chromatography, and data mining of large mass spectrometry (MS) datasets

Keywords： Traditional Chinese medicine     Liquid chromatography     Mass spectrometry     Data-dependent acquisition     Chemometrics     Untargeted     Data mining     Quality control    

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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

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 490-497 doi: 10.15302/J-FEM-2017008

Abstract: Today, large quantities of vehicle data (FCD: floating car data) are widely used by traffic service providersAs a first processing step, all raw position data received from Global Positioning Systems (GPS) haveThe technical aspects of such a matching process for GPS data are described in this report.Various examples illustrate how traffic service quality depends on the number of matched GPS raw databy a translation into traffic information messages, which can be sent and used in vehicle navigation systems

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

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Title Author Date Type Operation

Implementation and performance evaluation of advance metering infrastructure for Borneo-Wide Power Grid

Mujahid TABASSUM,Manas K. HALDAR,Duaa Fatima S. KHAN

Journal Article

Quality control based on electrode displacement and force in resistance spot welding

Chuntao JI, Lipeng DENG

Journal Article

Design and implementation of structural monitoring systems for Xihoumen Bridge (II): Implementations

Liu Zhiqiang,Li Na,Guo Jian,Feng Liangping,Song Gang

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

Characteristics of plankton Hg bioaccumulations based on a global data set and the implications for aquaticsystems with aggravating nutrient imbalance

Journal Article

Development and Prospect of Big Data Knowledge Engineering

Zheng Qinghua, Liu Huan, Gong Tieliang, Zhang Lingling, Liu Jun

Journal Article

Blockchain in energy systems: values, opportunities, and limitations

Journal Article

Multi-aperture optical imaging systems and their mathematical light field acquisition models

Qiming QI, Ruigang FU, Zhengzheng SHAO, Ping WANG, Hongqi FAN

Journal Article

Review of compact computational spectral information acquisition systems

Hongya Song, Wenyi Zhang, Haifeng Li, Xu Liu, Xiang Hao,haox@zju.edu.cn

Journal Article

The Application of Risk Matrix to Acquisition Risk Evaluation for Weapon and Equipment

Li Zhongmin,Wei Yiming,Tang Shuchun,Chen Jian

Journal Article

Machine Learning and Data-Driven Techniques for the Control of Smart Power Generation Systems: An Uncertainty

Li Sun, Fengqi You

Journal Article

Concrete corrosion in wastewater systems: Prediction and sensitivity analysis using advanced extreme

Mohammad ZOUNEMAT-KERMANI, Meysam ALIZAMIR, Zaher Mundher YASEEN, Reinhard HINKELMANN

Journal Article

Data Analytics and Machine Learning for Smart Process Manufacturing: Recent Advances and Perspectivesin the Big Data Era

Chao Shang、 Fengqi You

Journal Article

Deeper Chemical Perceptions for Better Traditional Chinese Medicine Standards

Jin-Jun Hou,Jian-Qing Zhang,Chang-Liang Yao,Rudolf Bauer,Ikhlas A. Khan,Wan-Ying Wu,De-an Guo

Journal Article

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

Journal Article