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Words alignment based on association rules for cross-domain sentiment classification None

Xi-bin JIA, Ya JIN, Ning LI, Xing SU, Barry CARDIFF, Bir BHANU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 2,   Pages 260-272 doi: 10.1631/FITEE.1601679

Abstract: this paper, we propose a novel approach called words alignment based on association rules (WAAR) for cross-domaindomain-specific words in the same domain.In this way, the differences between the source domain and target domain can be reduced to some extent, and a more accurate cross-domain classifier can be trained.results on AmazonR datasets show the effectiveness of our approach on improving the performance of cross-domain

Keywords: Sentiment classification     Cross-domain     Association rules    

Development and Key Technologies of Maritime Unmanned Systems

Qiu Zhiming, Meng Xiangyao, Ma Yan, Chen Yi, Feng Wei

Strategic Study of CAE 2023, Volume 25, Issue 3,   Pages 74-83 doi: 10.15302/J-SSCAE-2023.03.005

Abstract: They have become a new height of competition in the maritime domain and will play an increasingly

Keywords: maritime unmanned systems     cluster intelligent     cross-domain collaboration     key technologies    

Perspectives on cross-domain visual analysis of cyber-physical-social big data Perspective

Wei Chen, Tianye Zhang, Haiyang Zhu, Xumeng Wang, Yunhai Wang,cloudseawang@gmail.com

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 12,   Pages 1551-1684 doi: 10.1631/FITEE.2100553

Abstract: The domain of cyber-physical-social (CPS) big data is generally defined as the set consisting of allthe elements in its defined domain, including domains of data, objects, tasks, application scenarios,In this paper, we explore the perspectives on cross-domain visual analysis of CPS big data.We also highlight new challenges brought by the cross-domain nature of CPS big data—data, subject, and

Keywords: 可视分析;三元空间;大数据;跨域    

Moving target detection in the cepstrum domain for passive coherent location (PCL) radar

Ji-chuan LI,Xiao-de LU,Hui ZHANG,Peng-cheng YANG,Yu LIU,Mao-sheng XIANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 9,   Pages 785-795 doi: 10.1631/FITEE.1500036

Abstract: CEPMTD algorithm and 6.4 dB better than that of the classical detection algorithm based on the radar cross

Keywords: Moving target detection     Cepstrum techniques     Cross ambiguity function (CAF)     Passive coherent location    

Time-domain and frequency-domain approaches to identification of bridge flutter derivatives

Zhengqing CHEN

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 2,   Pages 173-179 doi: 10.1007/s11709-009-0034-1

Abstract: method and a frequency-domain method.It was shown that all the flutter derivatives of the thin-plate model identified with the frequency-domainmethod and time-domain method, respectively, agree very well.More precisely, the frequency-domain method usually results in smooth curves of the flutter derivativesThe formulation of time-domain method makes the identification results of flutter derivatives relatively

Keywords: long-span bridges     wind-induced vibration     flutter derivatives     forced vibration test     time-domain method     frequency-domain method    

Entity and relation extraction with rule-guided dictionary as domain knowledge

Frontiers of Engineering Management   Pages 610-622 doi: 10.1007/s42524-022-0226-0

Abstract: Entity and relation extraction is an indispensable part of domain knowledge graph construction, whichcan serve relevant knowledge needs in a specific domain, such as providing support for product research, sales, risk control, and domain hotspot analysis.However, the performance of these methods degrades when they face domain-specific datasets.To address the problems above, this paper first introduced prior knowledge composed of domain dictionaries

Keywords: entity extraction     relation extraction     prior knowledge     domain rule    

Frequency-domain Analysis of ECG Signals

Tu Chengyuan,Zeng Yanjun,Li Shuxin

Strategic Study of CAE 2002, Volume 4, Issue 12,   Pages 66-70

Abstract: signal processing techniques such as the power spectrum function, the auto-correlation function and cross-correlation

Keywords: ECG curve     P-wave     f-wave     AF (atrial fibrillation)     histogram     power spectrum     autocorrelation     cross-correlation    

Damage identification in connections of moment frames using time domain responses and an optimization

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4,   Pages 851-866 doi: 10.1007/s11709-021-0739-3

Abstract: study, an optimization-based method for joint damage identification of moment frames using the time-domain

Keywords: damage identification     beam-to-column connection     time-domain response     optimization    

Terahertz time-domain spectroscopy of high-pressure flames

Jason BASSI, Mark STRINGER, Bob MILES, Yang ZHANG

Frontiers in Energy 2009, Volume 3, Issue 2,   Pages 123-133 doi: 10.1007/s11708-009-0033-x

Abstract: Laser spectroscopy in the visible and near infrared is widely used as a diagnostic tool for combustion devices, but this approach is difficult at high pressures within a sooty flame itself. High soot concentrations render flames opaque to visible light, but they remain transparent to far-infrared or terahertz (THz) radiation. The first far-infrared absorption spectra, to the best of our knowledge, of sooty, non-premixed, ethylene high-pressure flames covering the region of 0.2-2.5 THz is presented. A specially designed high-pressure burner which is optically accessible to THz radiation has been built allowing flame transmission measurements up to pressures of 1.6 MPa. Calculations of the theoretical combustion species absorption spectra in the 0.2-3 THz range have shown that almost all the observable features arise from H O. A few OH (1.84 and 2.51 THz), CH (2.58 THz), and NH (1.77 and 2.95 THz) absorption lines are also observable in principle. A large number of H O absorption lines are observed in the ground vibrational in a laminar non-premixed, sooty flame (ethylene) at pressures up to 1.6 MPa.

Keywords: terahertz time-domain spectroscopy     high-pressure flames     H2O absorption lines    

framework for underground structures in layered ground under inclined P-SV waves using stiffness matrix and domain

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 1,   Pages 10-24 doi: 10.1007/s11709-022-0904-3

Abstract: Then, the domain reduction method was employed to reproduce the wavefield in the numerical model of the

Keywords: underground structures     seismic response     stiffness matrix method     domain reduction method     P-SV waves    

Dynamic parameterized learning for unsupervised domain adaptation Research Article

Runhua JIANG, Yahong HAN

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1616-1632 doi: 10.1631/FITEE.2200631

Abstract: enables neural networks to transfer from a labeled source domain to an unlabeled target domain by learningdomain-invariant representations.First, by exploring domain-level semantic knowledge, the dynamic alignment parameter is proposed, toBesides, for obtaining semantic-discriminative and domain-invariant representations, we propose to align

Keywords: Unsupervised domain adaptation     Optimization steps     Domain alignment     Semantic discrimination    

Preference transfer model in collaborative filtering for implicit data Project supported by the National Basic Research Program (973) of China (No. 2012CB316400) and the National Natural Science Foundation of China (No. 61571393) Article

Bin JU,Yun-tao QIAN,Min-chao YE

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 6,   Pages 489-500 doi: 10.1631/FITEE.1500313

Abstract: it is challenging to achieve good prediction performance using traditional methods based on single domainIn this paper, we propose a novel method called the preference transfer model for effective cross-domain

Keywords: Recommender systems     Collaborative filtering     Preference transfer model     Cross domain     Implicit data    

Layer-wise domain correction for unsupervised domain adaptation Article

Shuang LI, Shi-ji SONG, Cheng WU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1,   Pages 91-103 doi: 10.1631/FITEE.1700774

Abstract: To address the domain shift or data bias problems, we introduce layer-wise domain correction (LDC), anew unsupervised domain adaptation algorithm which adapts an existing deep network through additiveThe corrections that are trained via maximum mean discrepancy, adapt to the target domain while increasing

Keywords: Unsupervised domain adaptation     Maximum mean discrepancy     Residual network     Deep learning    

Frequency domain a9ctive vibration control of a flexible plate based on neural networks

Jinxin LIU, Xuefeng CHEN, Zhengjia HE

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 2,   Pages 109-117 doi: 10.1007/s11465-013-0252-z

Abstract: Multi-frequency control in frequency domain was achieved by simulation through the NN-based control systems

Keywords: active vibration control (AVC)     neural network (NN)     low frequency noise     frequency domain control     multi-frequency    

Thermal reffusivity: uncovering phonon behavior, structural defects, and domain size

Yangsu XIE, Bowen ZHU, Jing LIU, Zaoli XU, Xinwei WANG

Frontiers in Energy 2018, Volume 12, Issue 1,   Pages 143-157 doi: 10.1007/s11708-018-0520-z

Abstract: Like electrical resistivity which has been historically used as a theory for analyzing structural domaindefect levels of metals, the thermal reffusivity can also uncover phonon behavior, structure defects and domainFrom the residual thermal reffusivity at the 0 K limit, the structural thermal domain (STD) size of crystalline

Keywords: thermal reffusivity theory     phonon behavior     structure defects     structural thermal domain (STD) size     2D    

Title Author Date Type Operation

Words alignment based on association rules for cross-domain sentiment classification

Xi-bin JIA, Ya JIN, Ning LI, Xing SU, Barry CARDIFF, Bir BHANU

Journal Article

Development and Key Technologies of Maritime Unmanned Systems

Qiu Zhiming, Meng Xiangyao, Ma Yan, Chen Yi, Feng Wei

Journal Article

Perspectives on cross-domain visual analysis of cyber-physical-social big data

Wei Chen, Tianye Zhang, Haiyang Zhu, Xumeng Wang, Yunhai Wang,cloudseawang@gmail.com

Journal Article

Moving target detection in the cepstrum domain for passive coherent location (PCL) radar

Ji-chuan LI,Xiao-de LU,Hui ZHANG,Peng-cheng YANG,Yu LIU,Mao-sheng XIANG

Journal Article

Time-domain and frequency-domain approaches to identification of bridge flutter derivatives

Zhengqing CHEN

Journal Article

Entity and relation extraction with rule-guided dictionary as domain knowledge

Journal Article

Frequency-domain Analysis of ECG Signals

Tu Chengyuan,Zeng Yanjun,Li Shuxin

Journal Article

Damage identification in connections of moment frames using time domain responses and an optimization

Journal Article

Terahertz time-domain spectroscopy of high-pressure flames

Jason BASSI, Mark STRINGER, Bob MILES, Yang ZHANG

Journal Article

framework for underground structures in layered ground under inclined P-SV waves using stiffness matrix and domain

Journal Article

Dynamic parameterized learning for unsupervised domain adaptation

Runhua JIANG, Yahong HAN

Journal Article

Preference transfer model in collaborative filtering for implicit data Project supported by the National Basic Research Program (973) of China (No. 2012CB316400) and the National Natural Science Foundation of China (No. 61571393)

Bin JU,Yun-tao QIAN,Min-chao YE

Journal Article

Layer-wise domain correction for unsupervised domain adaptation

Shuang LI, Shi-ji SONG, Cheng WU

Journal Article

Frequency domain a9ctive vibration control of a flexible plate based on neural networks

Jinxin LIU, Xuefeng CHEN, Zhengjia HE

Journal Article

Thermal reffusivity: uncovering phonon behavior, structural defects, and domain size

Yangsu XIE, Bowen ZHU, Jing LIU, Zaoli XU, Xinwei WANG

Journal Article