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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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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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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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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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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 area

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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Environmental Data Acquisition, Elaboration and Integration: Preliminary Application to a Vulnerable Article

Massimiliano Lega,Marco Casazza,Laura Turconi,Fabio Luino,Domenico Tropeano,Gabriele Savio,Sergio Ulgiati,Theodore Endreny

Engineering 2018, Volume 4, Issue 5,   Pages 635-642 doi: 10.1016/j.eng.2018.08.011

Abstract: Therefore, environmental monitoring and data analysis will be important means of detecting trends in

Keywords： Environmental data elaboration     Climate change     Mountain community     Italy     Resilience     Socioecological system    

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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: responses 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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Simultaneous acquisition of CT angiography and whole brain CT perfusion images by using multiphase dynamic

Weiwei CHEN, Jianpin QI, Wenzhen ZHU, Wenhua HUANG, Jinmei SONG

Frontiers of Medicine 2009, Volume 3, Issue 2,   Pages 230-235 doi: 10.1007/s11684-009-0023-8

Abstract: We implemented a new protocol — multiphase dynamic helical scan to acquire CT angiography (CTA) and whole brain CT perfusion (CTP) images simultaneously with single scan on 16 multidetector CT (MDCT). A total of 90 patients who were randomly assigned into 3 groups were included in our study. Each group underwent CT scan by using the new protocol, traditional CTA and CTP protocol, respectively. The image quality of CTA, the CTP parameter values and the X-ray doses were measured and compared between the new protocol and the traditional protocols. There was no statistically significant difference in the CTA image quality between the above methods ( =0.55). For CTP parameters, the new protocol tended to overestimate the blood volume (BV) and blood flow (BF) value, and to underestimate the mean transit time (MTT) value compared with the traditional method. However, there was no statistically significant difference in BV, BF, and MTT value between the two methods except permeability surface (PS) ( >0.05). The volume CT dose index (CTDIvol) and dose length product (DLP) of our protocol were lower than the traditional one. The new protocol can obtain valuable diagnostic information in a shorter time without significant compromise in image quality. In addition, it reduces the radiation dose as well as contrast medium usage on the patient.

Keywords： computed tomography angiography     computed tomography perfusion    

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Study on Acquisition Risk Identification for Weapon and Equipment Based on the Full Life Cycle

Li Zhongmin,,Tang Shuchun,Li Jun4,Chen Jian

Strategic Study of CAE 2005, Volume 7, Issue 12,   Pages 49-53

Abstract:

Risk identification is the key technology of acquisition risk management for weapon and equipment.It has a direct and essential effect on the success of acquisition risk management for weapon and equipmentIn addition to this, the paper studies the method of acquisition risk identification and puts forwardthe selective scheme of acquisition risk identification method in every phase of the full life cycleAll of this plays a basic role in the systematic management of acquisition risk for weapon and equipment

Keywords： risk identification     acquisition risk management for weapon and equipment     the full life cycle    

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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:

Inspired by the compound eyes of insects, many s have been proposed to improve the imaging quality, e.g., to yield a high-resolution image or an image with a large field-of-view. Previous research has reviewed existing s, but few papers emphasize the which is essential to bridge the gap between configuration design and application. In this paper, we review typical s (i.e., , , and ), and then summarize general mathematical s for different configurations. These mathematical models provide methods for calculating the key indexes of a specific , such as the field-of-view and sub-image overlap ratio. 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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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    

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Analysis and control of micro-stepping characteristics of ultrasonic motor

Ning CHEN, Jieji ZHENG, Xianliang JIANG, Shixun FAN, Dapeng FAN

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 4,   Pages 585-599 doi: 10.1007/s11465-019-0577-3

Abstract: Micro-stepping motion of ultrasonic motors satisfies biomedical applications, such as cell operation and nuclear magnetic resonance, which require a precise compact-structure non-magnetization positioning device. When the pulse number is relatively small, the stopping characteristics have a non-negligible effect on the entire stepwise process. However, few studies have been conducted to show the rule of the open-loop stepwise motion, especially the shutdown stage. In this study, the modal differences of the shutdown stage are found connected with amplitude and velocity at the turn-off instant. Changes of the length in the contact area and driving zone as well as the input currents, vibration states, output torque, and axial pressure are derived by a simulation model to further explore the rules. The speed curves and vibration results in functions of different pulse numbers are compared, and the stepwise motion can be described by a two-stage two-order transfer function. A test workbench based on the Field Programmable Gate Array is built for acquiring the speed, currents, and feedback voltages of the startup–shutdown stage accurately with the help of its excellent synchronization performances. Therefore, stator vibration, rotor velocity, and terminal displacements under different pulse numbers can be compared. Moreover, the two-stage two-order model is identified on the stepwise speed curves, and the fitness over 85% between the simulation and test verifies the model availability. Finally, with the optimization of the pulse number, the motor achieves 3.3 µrad in clockwise and counterclockwise direction.

Keywords： ultrasonic motor     stepping characteristics     pulse number control     synchronous acquisition system     precise    

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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    

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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    

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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    

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Title Author Date Type Operation

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

Chuntao JI, Lipeng DENG

Journal Article

Development and Prospect of Big Data Knowledge Engineering

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

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

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

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

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

Journal Article

Environmental Data Acquisition, Elaboration and Integration: Preliminary Application to a Vulnerable

Massimiliano Lega,Marco Casazza,Laura Turconi,Fabio Luino,Domenico Tropeano,Gabriele Savio,Sergio Ulgiati,Theodore Endreny

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

Simultaneous acquisition of CT angiography and whole brain CT perfusion images by using multiphase dynamic

Weiwei CHEN, Jianpin QI, Wenzhen ZHU, Wenhua HUANG, Jinmei SONG

Journal Article

Study on Acquisition Risk Identification for Weapon and Equipment Based on the Full Life Cycle

Li Zhongmin,,Tang Shuchun,Li Jun4,Chen Jian

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

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

Feng YANG, Manman WANG

Journal Article

Analysis and control of micro-stepping characteristics of ultrasonic motor

Ning CHEN, Jieji ZHENG, Xianliang JIANG, Shixun FAN, Dapeng FAN

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