Resource Type

Journal Article 407

Conference Videos 32

Conference Information 2

Year

2024 1

2023 45

2022 60

2021 46

2020 36

2019 37

2018 23

2017 32

2016 20

2015 19

2014 18

2013 11

2012 12

2011 6

2010 14

2009 2

2008 8

2007 13

2006 6

2005 2

open ︾

Keywords

big data 20

data mining 12

Big data 9

Machine learning 7

Artificial intelligence 5

Blockchain 5

Deep learning 4

uncertainty 4

Data mining 3

Data-driven 3

Industry 4.0 3

Additive manufacturing 2

Anomaly detection 2

Big Data 2

Big data analytics 2

China 2

Concept drift 2

Data privacy 2

Data-driven method 2

open ︾

Search scope:

排序： Display mode:

Hybrid-driven Gaussian process online learning for highly maneuvering multi-target tracking Research Article

Qiang GUO, Long TENG, Tianxiang YIN, Yunfei GUO, Xinliang WU, Wenming SONG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1647-1656 doi: 10.1631/FITEE.2300348

Abstract: The performance of existing maneuvering methods for highly maneuvering targets in cluttered environments is unsatisfactory. This paper proposes a hybrid-driven approach for tracking multiple highly maneuvering targets, leveraging the advantages of both and model-based algorithms. The time-varying constant velocity model is integrated into the (GP) of to improve the performance of GP prediction. This integration is further combined with a generalized algorithm to realize multi-. Through the simulations, it has been demonstrated that the hybrid-driven approach exhibits significant performance improvements in comparison with widely used algorithms such as the interactive multi-model method and the GP motion tracker.

Keywords： Target tracking     Gaussian process     Data-driven     Online learning     Model-driven     Probabilistic data association    

HTML PDF Collect

Survey of the Algorithms on Association Rule Mining

Bi Jianxin,Zhang Qishan

Strategic Study of CAE 2005, Volume 7, Issue 4,   Pages 88-94

Abstract:

In this paper the principle of the algorithms on association rule mining is introduced firstly, andresearches of the algorithms on association rule mining are summarized in turn according to variable(dimension), abstract levels data and types of transacted variable (Boolean and Quantitative) in theprocess of data mining.At last, some future directions on association rule generation are viewed.

Keywords： data mining     association rule     algorithms     survey    

HTML PDF Collect

A random finite set based joint probabilistic data association filter with non-homogeneous Markov chain Research Articles

Yun Zhu, Shuang Liang, Xiaojun Wu, Honghong Yang,yunzhu@snnu.edu.cn,xjwu@snnu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 8,   Pages 1114-1126 doi: 10.1631/FITEE.2000209

Abstract: We demonstrate a heuristic approach for optimizing the posterior density of the data association trackingSpecifically, we propose an adjusted version of the joint probabilistic data association (JPDA) filter,The target labels in all possible data association events are switched using a novel nearest-neighborThe results can be easily generalized to other data association approaches under the same RFS framework

Keywords： 目标跟踪；滤波理论；随机有限集理论；贝叶斯方法；马尔可夫链    

HTML PDF Collect

Novel probabilistic rolling regular tetrahedron mechanism

Yonghan GUAN, Yan’an YAO, Chao LIU, Ruiming LI

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 363-378 doi: 10.1007/s11465-020-0628-9

Abstract: In this study, a novel mechanism that can conduct probabilistic rolling is proposed to reach a designatedAccording to mobility and kinematic analyses, the mechanism can implement probabilistic rolling.Furthermore, the mathematical principle of probabilistic rolling is revealed in terms of probability

Keywords： mobile mechanism     probabilistic motion     rolling mechanism     stochastic motion    

HTML PDF Collect

Probabilistic stability analysis of Bazimen landslide with monitored rainfall data and water level fluctuations

Wengang ZHANG, Libin TANG, Hongrui LI, Lin WANG, Longfei CHENG, Tingqiang ZHOU, Xiang CHEN

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1247-1261 doi: 10.1007/s11709-020-0655-y

Abstract: Based on the statistical features of the last 3-year monitored data and field instrumentations, the landslidesusceptibility in an annual cycle and four representative periods was investigated via the deterministic and probabilisticThe probabilistic analysis results reveal that the initial sliding surface is the most important areaThe seepage calculations from probabilistic analysis imply that rainfall is a relatively inferior factor

Keywords： reliability analysis     Bazimen landslide     rainfall     reservoir water level     slope stability    

HTML PDF Collect

Risk-based probabilistic thermal-stress analysis of concrete arch dams

Narjes SOLTANI, Mohammad ALEMBAGHERI, Mohammad Houshmand KHANEGHAHI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1007-1019 doi: 10.1007/s11709-019-0521-y

Abstract: The probabilistic risk of arch dam failure under thermal loading is studied.

Keywords： arch dams     probabilistic analysis     thermal stress     sensitivity     reliability    

HTML PDF Collect

Application of probabilistic risk assessment at a coking plant site contaminated by Polycyclic Aromatic

XIA Tianxiang,JIANG Lin,JIA Xiaoyang,ZHONG Maosheng,LIANG Jing

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 3,   Pages 441-450 doi: 10.1007/s11783-013-0572-6

Abstract: Application of Probabilistic Risk Assessment (PRA) and Deterministic Risk Assessment (DRA) at a coking

Keywords： Probabilistic Risk Assessment (PRA)     a coking plant     risk     cleanup level     sensitivity analysis     polycyclic    

HTML PDF Collect

Cumulant-based correlated probabilistic load flow considering photovoltaic generation and electric vehicle

Nitesh Ganesh BHAT, B. Rajanarayan PRUSTY, Debashisha JENA

Frontiers in Energy 2017, Volume 11, Issue 2,   Pages 184-196 doi: 10.1007/s11708-017-0465-7

Abstract: This paper applies a cumulant-based analytical method for probabilistic load flow (PLF) assessment in

Keywords： battery electric vehicle     extended cumulant method     photovoltaic generation     plug-in hybrid electric vehicle     probabilistic    

HTML PDF Collect

control strategy using tuned liquid dampers to reduce displacement demands of base-isolated structures: a probabilistic

Parham SHOAEI, Houtan Tahmasebi OROMI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 890-903 doi: 10.1007/s11709-019-0524-8

Abstract: In the proposed approach, the probabilistic distributions of the stiffness and yield properties of stories

Keywords： tuned liquid damper     lead-rubber bearing system     probabilistic framework     steel shear building     relative    

HTML PDF Collect

An interval joint-probabilistic programming method for solid waste management: a case study for the city

Yi XU, Shunze WU, Hongkuan ZANG, Guiguang HOU

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 2,   Pages 239-255 doi: 10.1007/s11783-013-0536-x

Abstract: In response to these challenges, an interval joint-probabilistic mixed-integer programming (IJMP) methodIn the IJMP, joint probabilistic constraints are introduced into an interval-parameter mixed-integer

Keywords： interval analysis     mixed integer     joint probabilistic constraint     planning     uncertainty     waste management    

HTML PDF Collect

Seismic performance of viaducts with probabilistic method

ZHU Xi, WANG Jianmin

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 3,   Pages 267-273 doi: 10.1007/s11709-007-0034-y

Abstract: structural capacity, it is necessary to consider the seismic performance of viaduct structures using the probabilistic

Keywords： uncertainty     Earthquake Engineering     regression analysis     accurate     fragility    

HTML PDF Collect

Genome-wide association studies: inherent limitations and future challenges

Yan Du, Jiaxin Xie, Wenjun Chang, Yifang Han, Guangwen Cao

Frontiers of Medicine 2012, Volume 6, Issue 4,   Pages 444-450 doi: 10.1007/s11684-012-0225-3

Abstract:

Genome-wide association studies (GWAS) have achieved great success in identifying genetic variants

Keywords： genome-wide association studies (GWAS)     genetic variant     cancer     limitation     challenge    

HTML PDF Collect

Advancement in genetic variants conferring obesity susceptibility from genome-wide association studies

Tao Wang,Weiping Jia,Cheng Hu

Frontiers of Medicine 2015, Volume 9, Issue 2,   Pages 146-161 doi: 10.1007/s11684-014-0373-8

Abstract: The advent of genome-wide association studies (GWAS) has hastened the progress of polygenic obesity research

Keywords： obesity     genetics     genome-wide association studies     body mass index     fat mass- and obesity-associated gene    

HTML PDF Collect

Probabilistic analysis of secant piles with random geometric imperfections

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 682-695 doi: 10.1007/s11709-021-0703-2

Abstract: The failure to achieve minimum design overlap between secant piles compromises the ability of a structure to perform as designed, resulting in water leakage or even ground collapse. To establish a more realistic simulation and provide guidelines for designing a safe and cost-effective secant-pile wall, a three-dimensional model of a secant pile, considering the geometric imperfections of the diameter and direction of the borehole, is introduced. An ultrasonic cross-hole test was performed during the construction of secant piles in a launching shaft in Beijing, China. Based on the test results, the statistical characteristics of the pile diameters and orientation parameters were obtained. By taking the pile diameter D, inclination angle β, and azimuth angle α as random variables, Monte Carlo simulations were performed to discuss the influence of different design parameters on the probability density functions of the overlap of secant piles. The obtained results show that the randomness of the inclination angle and pile diameter can be well described by a normal distribution, whereas the azimuth angle is more consistent with a uniform distribution. The integrity of the secant-pile wall can be overestimated without considering the uncertainty of geometric imperfections. The failure of the secant-pile wall increases substantially with increasing spatial variability in drilling inclination and diameter. A design flowchart for pile spacing under the target safety level is proposed to help engineers design a safe and economical pile wall.

Keywords： secant piles     ultrasonic cross-hole testing     probabilistic analysis     reliability-based design     random    

HTML PDF Collect

topology optimization of hinge-free compliant mechanisms with material uncertainties based on a non-probabilistic

Junjie ZHAN, Yangjun LUO

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 2,   Pages 201-212 doi: 10.1007/s11465-019-0529-y

Abstract: compliant mechanisms with spatially varying material uncertainties, which are described using a non-probabilistic

Keywords： compliant mechanisms     robust topology optimization     hinges     uncertainty     bounded field    

HTML PDF Collect

Title Author Date Type Operation

Hybrid-driven Gaussian process online learning for highly maneuvering multi-target tracking

Qiang GUO, Long TENG, Tianxiang YIN, Yunfei GUO, Xinliang WU, Wenming SONG

Journal Article

Survey of the Algorithms on Association Rule Mining

Bi Jianxin,Zhang Qishan

Journal Article

A random finite set based joint probabilistic data association filter with non-homogeneous Markov chain

Yun Zhu, Shuang Liang, Xiaojun Wu, Honghong Yang,yunzhu@snnu.edu.cn,xjwu@snnu.edu.cn

Journal Article

Novel probabilistic rolling regular tetrahedron mechanism

Yonghan GUAN, Yan’an YAO, Chao LIU, Ruiming LI

Journal Article

Probabilistic stability analysis of Bazimen landslide with monitored rainfall data and water level fluctuations

Wengang ZHANG, Libin TANG, Hongrui LI, Lin WANG, Longfei CHENG, Tingqiang ZHOU, Xiang CHEN

Journal Article

Risk-based probabilistic thermal-stress analysis of concrete arch dams

Narjes SOLTANI, Mohammad ALEMBAGHERI, Mohammad Houshmand KHANEGHAHI

Journal Article

Application of probabilistic risk assessment at a coking plant site contaminated by Polycyclic Aromatic

XIA Tianxiang,JIANG Lin,JIA Xiaoyang,ZHONG Maosheng,LIANG Jing

Journal Article

Cumulant-based correlated probabilistic load flow considering photovoltaic generation and electric vehicle

Nitesh Ganesh BHAT, B. Rajanarayan PRUSTY, Debashisha JENA

Journal Article

control strategy using tuned liquid dampers to reduce displacement demands of base-isolated structures: a probabilistic

Parham SHOAEI, Houtan Tahmasebi OROMI

Journal Article

An interval joint-probabilistic programming method for solid waste management: a case study for the city

Yi XU, Shunze WU, Hongkuan ZANG, Guiguang HOU

Journal Article

Seismic performance of viaducts with probabilistic method

ZHU Xi, WANG Jianmin

Journal Article

Genome-wide association studies: inherent limitations and future challenges

Yan Du, Jiaxin Xie, Wenjun Chang, Yifang Han, Guangwen Cao

Journal Article

Advancement in genetic variants conferring obesity susceptibility from genome-wide association studies

Tao Wang,Weiping Jia,Cheng Hu

Journal Article

Probabilistic analysis of secant piles with random geometric imperfections

Journal Article

topology optimization of hinge-free compliant mechanisms with material uncertainties based on a non-probabilistic

Junjie ZHAN, Yangjun LUO

Journal Article