Resource Type

Journal Article 971

Conference Videos 9

Year

2023 67

2022 79

2021 69

2020 71

2019 49

2018 42

2017 44

2016 41

2015 51

2014 43

2013 39

2012 40

2011 34

2010 47

2009 44

2008 36

2007 34

2006 26

2005 27

2004 20

open ︾

Keywords

model 15

model test 15

numerical simulation 15

mathematical model 14

kinetic model 10

COVID-19 7

Deep learning 7

uncertainty 7

optimization 6

sensitivity analysis 6

constitutive model 5

China 4

Machine learning 4

development model 4

neural network 4

numerical model 4

sustainable development 4

FEM 3

artificial neural network 3

open ︾

Search scope:

排序: Display mode:

Image-based fall detection and classification of a user with a walking support system

Sajjad TAGHVAEI, Kazuhiro KOSUGE

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 3,   Pages 427-441 doi: 10.1007/s11465-017-0465-7

Abstract: walking, and five falling types), and propose two different methods, namely, normal distribution and hiddenMarkov models (HMMs), to detect and recognize these states.

Keywords: fall detection     walking support     hidden Markov model     multivariate analysis    

State identification of home appliance with transient features in residential buildings

Frontiers in Energy 2022, Volume 16, Issue 1,   Pages 130-143 doi: 10.1007/s11708-022-0822-z

Abstract: appliances are identified from aggregated power signals using the Kalman filtering method in the factorial hiddenMarkov model (FHMM).

Keywords: load monitoring (NILM)     load disaggregation     online load disaggregation     Kalman filtering     factorial hiddenMarkov model (FHMM)     Labeled hIgh-Frequency daTaset for Electricity Disaggregation (LIFTED)    

Multi-band Synchronization Model for Speech Recognition Under Noisy Condition

Sun Wei,Wu Zhenyang

Strategic Study of CAE 2006, Volume 8, Issue 3,   Pages 31-34

Abstract: as estimation criteria to compensate the effects of noisy condition with multi-band synchronization model

Keywords: hidden Markov model     maximum likelihood     multi-band synchronization model     speech recognition    

TPE-H2MWD: an exact thumbnail preserving encryption scheme with hidden Markov model and weighted diffusion Research Article

Xiuli CHAI, Xiuhui CHEN, Yakun MA, Fang ZUO, Zhihua GAN, Yushu ZHANG,chaixiuli@henu.edu.cn,2923105987@qq.com,1060734169@qq.com,zuofang@henu.edu.cn,gzh@henu.edu.cn,yushu@nuaa.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 8,   Pages 1169-1180 doi: 10.1631/FITEE.2200498

Abstract: The zigzag scrambling model is used to change the bit positions in the lower four bit planes.

Keywords: Hidden Markov model     Weighted diffusion     Balance between usability and privacy     Image encryption    

Identification of pollution sources in rivers using a hydrodynamic diffusion wave model and improvedBayesian-Markov chain Monte Carlo algorithm

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 7, doi: 10.1007/s11783-023-1685-1

Abstract:

● A hydrodynamic-Bayesian inference model was developed for water

Keywords: Identification of pollution sources     Water quality restoration     Bayesian inference     Hydrodynamic model    

Forecast of fire accidents based on Grey-Markov model

Mao Zhanli,ZhuYi,Yang Bozhong,ZhuLei

Strategic Study of CAE 2010, Volume 12, Issue 1,   Pages 98-101

Abstract: influenced by many complex factors, and it has the characteristics of random and fluctuation, so grey modeland Markov model are combined together to establish a new Grey-Markov model in this paper .The paperadopts grey model and Markov model to show grey feature and random separately, at last the model isThe result shows the forecast precision of Grey-Markov model is higher than the forecast precision ofgrey model, the model can satisfy the demand in forecast precision, and it can be used for fire accidents

Keywords: Grey model     Markov model     fire accidents     forecast    

Elevator Configuration Based on the Markov Network Queuing Model

Zong Qun,Cheng Yiju,Song Junyuan

Strategic Study of CAE 2003, Volume 5, Issue 10,   Pages 69-72

Abstract:

The article applies the Markov network theory to build the elevator traffic model.Based on the model elevator configuration parameters of the serving stations are calculated, comparing

Keywords: Markov network queuing theory     elevator traffic model     optimizing elevator configuration    

Tandem hiddenMarkovmodels using deep belief networks for offline handwriting recognition Article

Partha Pratim ROY, Guoqiang ZHONG, Mohamed CHERIET

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7,   Pages 978-988 doi: 10.1631/FITEE.1600996

Abstract: In recent years, to sufficiently exploit the supervisory information hidden in document images, muchhas been made to integrate multi-layer perceptrons (MLPs) in either a hybrid or a tandem fashion into hiddenMarkov models (HMMs).In the proposed model, deep belief networks are adopted to learn the compact representations of sequentialWe evaluate the proposed model on two publicly available datasets, i.e., RIMES and IFN/ENIT, which are

Keywords: Handwriting recognition     Hidden Markov models     Deep learning     Deep belief networks     Tandem approach    

Intertidal area classification with generalized extreme value distribution and Markov random field in None

Ting-ting JIN, Xiao-qiang SHE, Xiao-lan QIU, Bin LEI

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2,   Pages 253-264 doi: 10.1631/FITEE.1700462

Abstract: The key point of the method is to combine the generalized extreme value (GEV) statistical model of thepolarization features and the Markov random field (MRF) for contextual smoothing.A goodness-of-fit test is added to determine the significance of the components of the statistical model

Keywords: Intertidal classification     Polarimetric synthetic aperture radar     Finite mixture model     Markov random field     Generalized extreme value model    

Reliability evaluation of future photovoltaic systems with smart operation strategy

Amir AHADI,Hosein HAYATI,Seyed Mohsen MIRYOUSEFI AVAL

Frontiers in Energy 2016, Volume 10, Issue 2,   Pages 125-135 doi: 10.1007/s11708-015-0392-4

Abstract: First, a mathematical model is proposed using the fault tree analysis (FTA) to estimate the reliabilityThen, an innovative analytical method based on the Markov process is presented to model smart operation

Keywords: smart operation strategy     renewable energy     fault tree analysis (FTA)     Markov model    

Recent advances in “universal” influenza virus antibodies: the rise of a hidden trimeric interface in

Yulu Wang, Dan Hu, Yanling Wu, Tianlei Ying

Frontiers of Medicine 2020, Volume 14, Issue 2,   Pages 149-159 doi: 10.1007/s11684-020-0764-y

Abstract: Some novel epitopes hidden in the hemagglutinin (HA) trimeric interface have been discovered recently

Keywords: influenza virus     neutralizing antibody     hemagglutinin     globular head region     trimeric interface    

Research on pedestrian escape route without visibility based on Markov chain model

Xiaoping ZHENG, Lijuan DU, Hongjiang WANG,

Frontiers of Chemical Science and Engineering 2010, Volume 4, Issue 3,   Pages 283-289 doi: 10.1007/s11705-009-0272-8

Abstract: It is a pioneering work to use a Markov chain model to study the pedestrian escape route without visibilityIn this paper, based on the Markov chain probability transition matrix, the algorithms with random numbersThe research results show that the Markov chain model is more realistic as a means of studying pedestrian

Keywords: pioneering     direction     spatial-grid     realistic     transition characteristic    

A new method for estimating the longevity and degradation of photovoltaic systems considering weather states

Amir AHADI,Hosein HAYATI,Joydeep MITRA,Reza ABBASI-ASL,Kehinde AWODELE

Frontiers in Energy 2016, Volume 10, Issue 3,   Pages 277-285 doi: 10.1007/s11708-016-0400-3

Abstract: In this paper, an ovel analytical model of the four weather conditions based on the Markov chain is proposedThe Markov method is well suited to estimate the reliability and availability of systems based on a continuousFurther aspects investigated include the new degradation model for reliability predication of PV modules

Keywords: photovoltaic (PV) systems     solar cell     Markov model     weather effects    

Sequential degradation-based burn-in test with multiple periodic inspections

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 519-530 doi: 10.1007/s42524-021-0166-0

Abstract: prediction and accelerated lifetime test, this study proposes a sequential degradation-based burn-in modelWe cast the problem into a partially observed Markov decision process to minimize the expected totalA numerical study is also provided to illustrate the effectiveness of our proposed model.

Keywords: burn-in     degradation     multiple inspections     Wiener process     partially observed Markov decision process    

Characterization of hidden rules linking symptoms and selection of acupoint using an artificial neuralnetwork model

Won-Mo Jung, In-Soo Park, Ye-Seul Lee, Chang-Eop Kim, Hyangsook Lee, Dae-Hyun Hahm, Hi-Joon Park, Bo-Hyoung Jang, Younbyoung Chae

Frontiers of Medicine 2019, Volume 13, Issue 1,   Pages 112-120 doi: 10.1007/s11684-017-0582-z

Abstract: A total of 11 hidden nodes with the highest average precision score were selected through a tenfold cross-validationOur ANN model could predict the selected acupoints based on symptom and disease information with an averageThis model is a useful tool for diagnostic classification or pattern recognition and for the prediction

Keywords: acupuncture     indication     neural network     pattern identification     prediction    

Title Author Date Type Operation

Image-based fall detection and classification of a user with a walking support system

Sajjad TAGHVAEI, Kazuhiro KOSUGE

Journal Article

State identification of home appliance with transient features in residential buildings

Journal Article

Multi-band Synchronization Model for Speech Recognition Under Noisy Condition

Sun Wei,Wu Zhenyang

Journal Article

TPE-H2MWD: an exact thumbnail preserving encryption scheme with hidden Markov model and weighted diffusion

Xiuli CHAI, Xiuhui CHEN, Yakun MA, Fang ZUO, Zhihua GAN, Yushu ZHANG,chaixiuli@henu.edu.cn,2923105987@qq.com,1060734169@qq.com,zuofang@henu.edu.cn,gzh@henu.edu.cn,yushu@nuaa.edu.cn

Journal Article

Identification of pollution sources in rivers using a hydrodynamic diffusion wave model and improvedBayesian-Markov chain Monte Carlo algorithm

Journal Article

Forecast of fire accidents based on Grey-Markov model

Mao Zhanli,ZhuYi,Yang Bozhong,ZhuLei

Journal Article

Elevator Configuration Based on the Markov Network Queuing Model

Zong Qun,Cheng Yiju,Song Junyuan

Journal Article

Tandem hiddenMarkovmodels using deep belief networks for offline handwriting recognition

Partha Pratim ROY, Guoqiang ZHONG, Mohamed CHERIET

Journal Article

Intertidal area classification with generalized extreme value distribution and Markov random field in

Ting-ting JIN, Xiao-qiang SHE, Xiao-lan QIU, Bin LEI

Journal Article

Reliability evaluation of future photovoltaic systems with smart operation strategy

Amir AHADI,Hosein HAYATI,Seyed Mohsen MIRYOUSEFI AVAL

Journal Article

Recent advances in “universal” influenza virus antibodies: the rise of a hidden trimeric interface in

Yulu Wang, Dan Hu, Yanling Wu, Tianlei Ying

Journal Article

Research on pedestrian escape route without visibility based on Markov chain model

Xiaoping ZHENG, Lijuan DU, Hongjiang WANG,

Journal Article

A new method for estimating the longevity and degradation of photovoltaic systems considering weather states

Amir AHADI,Hosein HAYATI,Joydeep MITRA,Reza ABBASI-ASL,Kehinde AWODELE

Journal Article

Sequential degradation-based burn-in test with multiple periodic inspections

Journal Article

Characterization of hidden rules linking symptoms and selection of acupoint using an artificial neuralnetwork model

Won-Mo Jung, In-Soo Park, Ye-Seul Lee, Chang-Eop Kim, Hyangsook Lee, Dae-Hyun Hahm, Hi-Joon Park, Bo-Hyoung Jang, Younbyoung Chae

Journal Article