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Efficientmesh denoising via robust normal filtering and alternate vertex updating Article

Tao LI, Jun WANG, Hao LIU, Li-gang LIU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11, Pages 1828-1842 doi: 10.1631/FITEE.1601229

Abstract: Based on the robust guided normal estimation and alternate vertex updating strategy, we investigate aBy combining both overall normal distribution of all faces in a CAN and individual normal influence ofwe give a new consistency measuring method, which greatly improves the reliability of the estimated guideddata indicate that our method adapts to various noise, both Gaussian and impulsive, no matter in the normal

Keywords： Mesh denoising Guided normal filtering Alternate vertex updating Corner-aware neighborhoods

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Time reversal method for guided wave inspection in pipes

DENG Fei, WU Bin, HE Cunfu

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 3, Pages 251-260 doi: 10.1007/s11465-008-0050-1

Abstract: that the time reversal array method is beneficial to the improvement of the signal-to-noise ratio of a guidedThe time reversal process used for guided wave inspection leads to the temporal and spatial focusing.

Keywords： reversal process beneficial circumferential location energy number

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Genomic variations in the counterpart normal controls of lung squamous cell carcinomas

Dalin Zhang, Liwei Qu, Bo Zhou, Guizhen Wang, Guangbiao Zhou

Frontiers of Medicine 2018, Volume 12, Issue 3, Pages 280-288 doi: 10.1007/s11684-017-0580-1

Abstract: However, few studies have investigated the genomic variations that occur only in normal tissues thatWe then called genomic variations specific to the normal lung tissues through filtering the genomic sequenceof the normal lung tissues against that of the paired tumors, the reference human genome, the dbSNP138To expand these observations, the whole exome sequences of 478 counterpart normal controls (CNCs) andSixteen genomic variations were called in the three normal lung tissues.

Keywords： lung cancer counterpart normal control genomic variations

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Feedback linearization based control for weak grid connected PV system under normal and abnormal conditions

Rahul SHARMA,Sathans SUHAG

Frontiers in Energy 2020, Volume 14, Issue 2, Pages 400-409 doi: 10.1007/s11708-017-0459-5

Abstract: This paper proposes a control strategy for interface of distributed energy sources into the weak grid system with a focus on the energy and ancillary services. A novel controller has been designed and implemented to tackle the challenges of coupling terms in the LCL filter, the transient behavior under sudden changes, and the voltage support under fault condition using the feedback linearization technique. The controller proposed has been implemented on the PV system connected with the weak grid using the LCL filter and the performance of the controller has been verified using Matlab/Simulink through simulation under different conditions. The results of the controller proposed have been compared with the conventional PI dual loop controller. The simulation results obtained demonstrate the effectiveness and simplicity of the controller design strategy.

Keywords： PV system grid interface feedback linearization inverter LCL filter

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Ultrasound-guided prostate percutaneous intervention robot system and calibration by informative particle

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1, Pages 3-3 doi: 10.1007/s11465-021-0659-x

Abstract: Applying a robot system in ultrasound-guided percutaneous intervention is an effective approach for prostate

Keywords： ultrasound image guidance prostate percutaneous intervention parallel robot kinematics identification particle swarm optimization informative value

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Dynamic in-plane transversal normal stresses in the concrete face of CFRD

Neftalí SARMIENTO-SOLANO, Miguel P. ROMO

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1, Pages 135-148 doi: 10.1007/s11709-018-0481-7

Abstract: CFRDs) such as concrete cracking and joint's water stops distressing where high in-plane transversal normalprocedure is the dynamic complement of a method recently developed to evaluate in-plane transversal normalUsing these two procedures in a sequential manner, it is possible to define the concrete slab in-plane normalIn the above reference, the method to evaluate the concrete face in-plane transversal normal stresses

Keywords： CFR dams dynamic analysis in-plane normal stresses concrete face

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Stochastic extra-gradient based alternating direction methods for graph-guided regularizedminimization None

Qiang LAN, Lin-bo QIAO, Yi-jie WANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 6, Pages 755-762 doi: 10.1631/FITEE.1601771

Abstract: extra-gradient alternating direction method with augmented Lagrangian function (SEGAL), to minimize the graph-guidedA number of important applications in machine learning follow the graph-guided optimization formulationWe conduct experiments on fused logistic regression and graph-guided regularized regression.

Keywords： Stochastic optimization Graph-guided minimization Extra-gradient method Fused logistic regression Graph-guided

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High-intensity focused ultrasound tumor ablation: Review of ten years of clinical experience

Lian ZHANG, Zhi-Biao WANG

Frontiers of Medicine 2010, Volume 4, Issue 3, Pages 294-302 doi: 10.1007/s11684-010-0092-8

Abstract: In 1997, a patient with osteosarcoma was first successfully treated with ultrasound imaging-guided HIFUcancer, pancreatic cancer, bone tumors, and renal cancer have been treated with ultrasound imaging-guided

Keywords： high-intensity focused ultrasound (HIFU) ultrasound imaging-guided HIFU (USgHIFU) magnetic resonanceimaging-guided HIFU (MRgHIFU)

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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, which can serve relevant knowledge needs in a specific domain, such as providing support for product research, sales, risk control, and domain hotspot analysis. The existing entity and relation extraction methods that depend on pretrained models have shown promising performance on open datasets. However, the performance of these methods degrades when they face domain-specific datasets. Entity extraction models treat characters as basic semantic units while ignoring known character dependency in specific domains. Relation extraction is based on the hypothesis that the relations hidden in sentences are unified, thereby neglecting that relations may be diverse in different entity tuples. To address the problems above, this paper first introduced prior knowledge composed of domain dictionaries to enhance characters’ dependence. Second, domain rules were built to eliminate noise in entity relations and promote potential entity relation extraction. Finally, experiments were designed to verify the effectiveness of our proposed methods. Experimental results on two domains, including laser industry and unmanned ship, showed the superiority of our methods. The F1 value on laser industry entity, unmanned ship entity, laser industry relation, and unmanned ship relation datasets is improved by +1%, +6%, +2%, and +1%, respectively. In addition, the extraction accuracy of entity relation triplet reaches 83% and 76% on laser industry entity pair and unmanned ship entity pair datasets, respectively.

Keywords： entity extraction relation extraction prior knowledge domain rule

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Study on the Universality of the Normal Cloud Model

Li Deyi,Liu Changyu

Strategic Study of CAE 2004, Volume 6, Issue 8, Pages 28-34

Abstract: The normal distribution is very popular in the nature and human society.The normal cloud models not only broaden the formation conditions of the normal distribution but alsomake the normal membership function be the expectation of the random membership degree.In this paper, the universality of the normal cloud model is proved,which is more superior and easier

Keywords： normal distribution function membership degree normal cloud model granularity universality

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ApproximateGaussian conjugacy: parametric recursive filtering under nonlinearity,multimodality, uncertainty Review

Tian-cheng LI, Jin-ya SU, Wei LIU, Juan M. CORCHADO

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 12, Pages 1913-1939 doi: 10.1631/FITEE.1700379

Abstract: Since the landmark work of R. E. Kalman in the 1960s, considerable efforts have been devoted to time series state space models for a large variety of dynamic estimation problems. In particular, parametric filters that seek analytical estimates based on a closed-form Markov–Bayes recursion, e.g., recursion from a Gaussian or Gaussian mixture (GM) prior to a Gaussian/GM posterior (termed ‘Gaussian conjugacy’ in this paper), form the backbone for a general time series filter design. Due to challenges arising from nonlinearity, multimodality (including target maneuver), intractable uncertainties (such as unknown inputs and/or non-Gaussian noises) and constraints (including circular quantities), etc., new theories, algorithms, and technologies have been developed continuously to maintain such a conjugacy, or to approximate it as close as possible. They had contributed in large part to the prospective developments of time series parametric filters in the last six decades. In this paper, we review the state of the art in distinctive categories and highlight some insights that may otherwise be easily overlooked. In particular, specific attention is paid to nonlinear systems with an informative observation, multimodal systems including Gaussian mixture posterior and maneuvers, and intractable unknown inputs and constraints, to fill some gaps in existing reviews and surveys. In addition, we provide some new thoughts on alternatives to the first-order Markov transition model and on filter evaluation with regard to computing complexity.

Keywords： Kalman filter Gaussian filter Time series estimation Bayesian filtering Nonlinear filtering Constrainedfiltering Gaussian mixture Maneuver Unknown inputs

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Proof of the heavy tailed property of normal cloud model

Li Deyi,Liu Changyu,Gan Wenyan

Strategic Study of CAE 2011, Volume 13, Issue 4, Pages 20-23

Abstract:

Normal distribution and heavy tailed distribution are very importantThe probability density function of normal distribution decay exponentially to 0.The majority of normal random variable values are around the mathematical expectation.The probability density function decays power exponentially to 0.In this paper, we proved that the normalThe parameter He(hyper entropy) of the normal cloud model is the bridge from normal distribution to heavy

Keywords： normal distribution heavy tailed distribution normal cloud model kurtosis

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Modeling and simulation of normal and hemiparetic gait

Lely A. LUENGAS,Esperanza CAMARGO,Giovanni SANCHEZ

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 3, Pages 233-241 doi: 10.1007/s11465-015-0343-0

Abstract: Here we present a new model that is capable of reproducing the properties of walking, normal and pathologicalDepending on the value of the factor present in the Rayleigh dissipation function, both normal and pathologicalFirst of all, we apply it in the normal gait and then in the permanent hemiparetic gait.There have been studies and simulations to show normal human gait, but few of them have focused on abnormalpredictions with gait measurements show that the model can reproduce the significant characteristics of normal

Keywords： bipedal gait biomechanics dynamic walking gait model human gait hemiparetic human gait

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Empirical models and design codes in prediction of modulus of elasticity of concrete

Behnam VAKHSHOURI, Shami NEJADI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1, Pages 38-48 doi: 10.1007/s11709-018-0479-1

Abstract: includes: (a) evaluation and comparison of the existing analytical models to estimating the MOE in normal

Keywords： modulus of elasticity normal strength normal weight concrete empirical models design codes compressive

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Three-dimensional finite difference analysis of shallow sprayed concrete tunnels crossing a reverse fault or a normal

Masoud RANJBARNIA, Milad ZAHERI, Daniel DIAS

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 4, Pages 998-1011 doi: 10.1007/s11709-020-0621-8

Abstract: In this paper, the effects of a reverse and a normal fault movement on a transversely crossing shallowThe results of each case of reverse and normal faulting are independently discussed and then compared

Keywords： urban tunnel sprayed concrete reverse fault normal fault finite difference analysis