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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).

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

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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    

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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: appliance using the density-based spatial clustering of applications with noise (DBSCAN) method and modelsappliances 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)    

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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: With the substantial increase in image transmission, the demand for image security is increasing. Noise-like images can be obtained by conventional encryption schemes, and although the security of the images can be guaranteed, the noise-like images cannot be directly previewed and retrieved. Based on the rank-then-encipher method, some researchers have designed a three-pixel exact thumbnail preserving encryption (TPE2) scheme, which can be applied to balance the security and availability of images, but this scheme has low encryption efficiency. In this paper, we introduce an efficient exact thumbnail preserving encryption scheme. First, blocking and bit-plane decomposition operations are performed on the plaintext image. The zigzag scrambling model is used to change the bit positions in the lower four bit planes. Subsequently, an operation is devised to permute the higher four bit planes, which is an extended application of the . Finally, according to the difference in bit weights in each bit plane, a bit-level rule is established to generate an encrypted image and still maintain the same sum of pixels within the block. Simulation results show that the proposed scheme improves the encryption efficiency and can guarantee the availability of images while protecting their privacy.

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

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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:

Based on perception characteristic of human ear, this paper proposes synchronization multi-band maximum likelihood linear regression algorithm for robust speech recognition under noisy condition. The algorithm utilizes maximum likelihood as estimation criteria to compensate the effects of noisy condition with multi-band synchronization model and noise corruption assumption. The tests show that the proposed algorithm improves the performance of recognition system effectively.

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

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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    

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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    

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A review on different theoretical models of electrocaloric effect for refrigeration

Frontiers in Energy 2023, Volume 17, Issue 4,   Pages 478-503 doi: 10.1007/s11708-023-0884-6

Abstract: This paper reviews the electrocaloric effect of ferroelectric materials based on different theoretical models

Keywords： electrocaloric effect     effective Hamiltonian     phase-field modeling     different theoretical models    

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Identification of pollution sources in rivers using a hydrodynamic diffusion wave model and improved Bayesian-Markov

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 pollution tracking.

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

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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: by many complex factors, and it has the characteristics of random and fluctuation, so grey model and Markovmodel are combined together to establish a new Grey-Markov model in this paper .The paper adopts greymodel and Markov model to show grey feature and random separately, at last the model is used to predictThe result shows the forecast precision of Grey-Markov model is higher than the forecast precision of

Keywords： Grey model     Markov model     fire accidents     forecast    

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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.

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

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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: Most existing burn-in models adopt a one-shot scheme, which may not be sufficient enough for identificationWe cast the problem into a partially observed Markov decision process to minimize the expected total

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

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Predictive models on photolysis and photoinduced toxicity of persistent organic chemicals

Qing ZHANG

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 6,   Pages 803-814 doi: 10.1007/s11783-013-0547-7

Abstract: Quantitative structure-activity relationship (QSAR) models that relate photodegradation kinetics or photoinducedThis paper reviews the QSAR models on photodegradation quantum yields and rate constants for toxic organicchemicals in different media including liquid phase, gaseous phase, surfaces of plant leaves, and QSAR models

Keywords： quantitative structure-activity relationship (QSAR) models     photodegradation     persistent organic pollutants    

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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: This study includes: (a) evaluation and comparison of the existing analytical models to estimating theIn addition, a wide range of experimental databases and empirical models to estimate the MOE from compressiveThe results show underestimation of MOE of conventional concrete in majority of the existing models.considering the consistency between density and mechanical properties of concrete, the predicted MOE in the models

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

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

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-validation

Keywords： acupuncture     indication     neural network     pattern identification     prediction    

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Title Author Date Type Operation

Tandem hiddenMarkovmodels using deep belief networks for offline handwriting recognition

Partha Pratim ROY, Guoqiang ZHONG, Mohamed CHERIET

Journal Article

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

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

Multi-band Synchronization Model for Speech Recognition Under Noisy Condition

Sun Wei,Wu Zhenyang

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 review on different theoretical models of electrocaloric effect for refrigeration

Journal Article

Identification of pollution sources in rivers using a hydrodynamic diffusion wave model and improved Bayesian-Markov

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

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

Journal Article

Predictive models on photolysis and photoinduced toxicity of persistent organic chemicals

Qing ZHANG

Journal Article

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

Behnam VAKHSHOURI, Shami NEJADI

Journal Article

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

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