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A distributed EEMDN-SABiGRU model on Spark for passenger hotspot prediction

夏大文,耿建,黄瑞曦,申冰琪,胡杨,李艳涛,李华青

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9,   Pages 1316-1331 doi: 10.1631/FITEE.2200621

Abstract: distributed ensemble empirical mode decomposition with normalization of spatial attention mechanism based bi-directionalgated recurrent unit (EEMDN-SABiGRU) model on Spark for accurate passenger hotspot prediction.Furthermore, the bi-directional GRU algorithm is merged to deal with the problem that GRU can obtain

Keywords: Passenger hotspot prediction     Ensemble empirical mode decomposition (EEMD)     Spatial attention mechanism     Bi-directionalgated recurrent unit (BiGRU)     GPS trajectory     Spark    

Acoustic characteristics of bi-directional turbines for thermoacoustic generators

Dongdong LIU, Yanyan CHEN, Wei DAI, Ercang LUO

Frontiers in Energy 2022, Volume 16, Issue 6,   Pages 1027-1036 doi: 10.1007/s11708-020-0702-3

Abstract: Bi-directional turbines combined with rotary motors may be a feasible option for developing high powerA general expression for the acoustic characteristics of the bi-directional turbine was proposed basedThe good fit of the correlations shows that these characteristics are valid for describing the bi-directional

Keywords: thermoacoustic power generator     acoustic characteristics     bi-directional impulse turbine     energy conversion    

A Bayesian modeling approach to bi-directional pedestrian flows in carnival events

S. Q. XIE, S. C. WONG, William H. K. LAM

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 483-489 doi: 10.15302/J-FEM-2017023

Abstract: Bi-directional pedestrian flows are common at crosswalks, footpaths, and shopping areas.

Keywords: pedestrian flow model     bi-directional interactions     empirical studies     Bayesian inference    

Technological development and engineering applications of novel steel-concrete composite structures

Jianguo NIE, Jiaji WANG, Shuangke GOU, Yaoyu ZHU, Jiansheng FAN

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 1-14 doi: 10.1007/s11709-019-0514-x

Abstract: This paper summarizes the technical principles and applications of the long-span bi-directional composite

Keywords: high-performance composite structure     bi-directional composite     composite transfer     uplift-restricted and    

Forecasting traffic flows in irregular regions with multi-graph convolutional network and gated recurrentunit Research Articles

Dewen Seng, Fanshun Lv, Ziyi Liang, Xiaoying Shi, Qiming Fang,sengdw@hdu.edu.cn,172050041@hdu.edu.cn,liangziyi2020@163.com,shixiaoying@hdu.edu.cn,fangqiming@hdu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 9,   Pages 1179-1193 doi: 10.1631/FITEE.2000243

Abstract: The prediction of regional traffic flows is important for traffic control and management in an intelligent traffic system. With the help of deep neural networks, the convolutional neural network or residual neural network, which can be applied only to regular grids, is adopted to capture the spatial dependence for flow prediction. However, the obtained regions are always irregular considering the road network and administrative boundaries; thus, dividing the city into grids is inaccurate for prediction. In this paper, we propose a new model based on and (MGCN-GRU) to predict traffic flows for . Specifically, we first construct heterogeneous inter-region graphs for a city to reflect the relationships among regions. In each graph, nodes represent the and edges represent the relationship types between regions. Then, we propose a to fuse different inter-region graphs and additional attributes. The GRU is further used to capture the temporal dependence and to predict future traffic flows. Experimental results based on three real-world large-scale datasets (public bicycle system dataset, taxi dataset, and dockless bike-sharing dataset) show that our MGCN-GRU model outperforms a variety of existing methods.

Keywords: 交通流量预测;多图卷积网络;门控循环单元;不规则区域    

Observation of a higher JAK2 V617F homozygous mutated clone in polycythemia vera compared to essential thrombocythemia

LIU Hongxing, TONG Chunrong, CAI Peng, GU Jiangying, LIN Yuehui, TENG Wen, WANG He, ZHANG Ying, ZHU Ping

Frontiers of Medicine 2008, Volume 2, Issue 3,   Pages 309-313 doi: 10.1007/s11684-008-0059-1

Abstract: Single-tube bi-directional allele specific amplification (SB-ASA) and real-time quantitative polymerase

Keywords: specific amplification     essential thrombocythemia     Single-tube bi-directional     JAK2V617F-positive     JAK2V617F    

Layout optimization of steel reinforcement in concrete structure using a truss-continuum model

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 5,   Pages 669-685 doi: 10.1007/s11709-023-0963-0

Abstract: Based on bi-directional evolutionary structural optimization (BESO), a new approach is developed in thisFurthermore, a modified bi-directional evolutionary structural optimization (M-BESO) method is proposed

Keywords: bi-directional evolutionary structural optimization     steel-reinforced concrete     concrete stress     reinforcement    

Pathogenesis, diagnosis, and treatment of recurrent spontaneous abortion with immune type

Qi-De LIN, Li-Hua QIU

Frontiers of Medicine 2010, Volume 4, Issue 3,   Pages 275-279 doi: 10.1007/s11684-010-0101-y

Abstract: Recurrent spontaneous abortion (RSA), defined as three or more consecutive pregnancy losses before 20

Keywords: spontaneous abortion     recurrent     autoimmune     alloimmune     pathogenesis     diagnosis     immunotherapy    

Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1285-1298 doi: 10.1007/s11709-020-0691-7

Abstract: This article intends to model the multiscale constitution using feedforward neural network (FNN) and recurrent

Keywords: multiscale method     constitutive model     feedforward neural network     recurrent neural network    

A ruptured recurrent small bowel gastrointestinal stromal tumour causing hemoperitoneum

Eric C.H. Lai,Kam Man Chung,Stephanie H.Y. Lau,Wan Yee Lau

Frontiers of Medicine 2015, Volume 9, Issue 1,   Pages 108-111 doi: 10.1007/s11684-014-0344-0

Abstract: Resection of the ruptured GIST was carried out for control of bleeding and to prevent recurrent bleeding

Keywords: gastrointestinal stromal tumour     hemoperitoneum     small bowel GIST     small bowel neoplasm     imatinib    

Improved directional-distance filter

JIN Lianghai, LI Dehua

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 2,   Pages 205-211 doi: 10.1007/s11465-008-0025-2

Abstract: By combining the weighting function and the traditional directional-distance filter (DDF) in a novelway, a new vector filter - the adaptive distance-weighted directional-distance filter (ADWDDF) - is presented

Keywords: information     distance-weighted directional-distance     ADWDDF     traditional DDF     spatial-distance weighting    

Prediction and cause investigation of ozone based on a double-stage attention mechanism recurrent neural

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 2, doi: 10.1007/s11783-023-1621-4

Abstract:

● Used a double-stage attention mechanism model to predict ozone.

Keywords: Ozone prediction     Deep learning     Time series     Attention     Volatile organic compounds    

Erratum to: Soft-HGRNs: soft hierarchical graph recurrent networks for multi-agent partially observable

Yixiang REN, Zhenhui YE, Yining CHEN, Xiaohong JIANG, Guanghua SONG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 3,   Pages 480-480 doi: 10.1631/FITEE.22e0073

A solution to stochastic unit commitment problem for a wind-thermal system coordination

B. SARAVANAN,Shreya MISHRA,Debrupa NAG

Frontiers in Energy 2014, Volume 8, Issue 2,   Pages 192-200 doi: 10.1007/s11708-014-0306-x

Abstract: Unit commitment (UC) problem is one of the most important decision making problems in power system.The most important issue that needs to be addressed is the achievement of an economic unit commitmentThis paper proposes a hybrid approach to solve the stochastic unit commitment problem considering the

Keywords: unit commitment (UC)     randomness     wind generation     univariate     chance constrained    

Solving unit commitment problem using a novel version of harmony search algorithm

Roozbeh MORSALI,Tohid JAFARI,Amirhossein GHODS,Mohammad KARIMI

Frontiers in Energy 2014, Volume 8, Issue 3,   Pages 297-304 doi: 10.1007/s11708-014-0309-7

Abstract: this context, a novel structure was proposed for improving harmony search (HS) algorithm to solve the unit

Keywords: generation scheduling     harmony search (HS) algorithm     intelligent technique     unit commitment    

Title Author Date Type Operation

A distributed EEMDN-SABiGRU model on Spark for passenger hotspot prediction

夏大文,耿建,黄瑞曦,申冰琪,胡杨,李艳涛,李华青

Journal Article

Acoustic characteristics of bi-directional turbines for thermoacoustic generators

Dongdong LIU, Yanyan CHEN, Wei DAI, Ercang LUO

Journal Article

A Bayesian modeling approach to bi-directional pedestrian flows in carnival events

S. Q. XIE, S. C. WONG, William H. K. LAM

Journal Article

Technological development and engineering applications of novel steel-concrete composite structures

Jianguo NIE, Jiaji WANG, Shuangke GOU, Yaoyu ZHU, Jiansheng FAN

Journal Article

Forecasting traffic flows in irregular regions with multi-graph convolutional network and gated recurrentunit

Dewen Seng, Fanshun Lv, Ziyi Liang, Xiaoying Shi, Qiming Fang,sengdw@hdu.edu.cn,172050041@hdu.edu.cn,liangziyi2020@163.com,shixiaoying@hdu.edu.cn,fangqiming@hdu.edu.cn

Journal Article

Observation of a higher JAK2 V617F homozygous mutated clone in polycythemia vera compared to essential thrombocythemia

LIU Hongxing, TONG Chunrong, CAI Peng, GU Jiangying, LIN Yuehui, TENG Wen, WANG He, ZHANG Ying, ZHU Ping

Journal Article

Layout optimization of steel reinforcement in concrete structure using a truss-continuum model

Journal Article

Pathogenesis, diagnosis, and treatment of recurrent spontaneous abortion with immune type

Qi-De LIN, Li-Hua QIU

Journal Article

Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Journal Article

A ruptured recurrent small bowel gastrointestinal stromal tumour causing hemoperitoneum

Eric C.H. Lai,Kam Man Chung,Stephanie H.Y. Lau,Wan Yee Lau

Journal Article

Improved directional-distance filter

JIN Lianghai, LI Dehua

Journal Article

Prediction and cause investigation of ozone based on a double-stage attention mechanism recurrent neural

Journal Article

Erratum to: Soft-HGRNs: soft hierarchical graph recurrent networks for multi-agent partially observable

Yixiang REN, Zhenhui YE, Yining CHEN, Xiaohong JIANG, Guanghua SONG

Journal Article

A solution to stochastic unit commitment problem for a wind-thermal system coordination

B. SARAVANAN,Shreya MISHRA,Debrupa NAG

Journal Article

Solving unit commitment problem using a novel version of harmony search algorithm

Roozbeh MORSALI,Tohid JAFARI,Amirhossein GHODS,Mohammad KARIMI

Journal Article