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A power resource dispatching framework with a privacy protection function in the Power Internet of Things Research Article

Shuanggen LIU, Shuangzi ZHENG, Wenbo ZHANG, Runsheng FU

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 9,   Pages 1354-1368 doi: 10.1631/FITEE.2100518

Abstract: Smart meters in the generate a large amount of power data. However, data privacy in the process of calculation, storage, and transmission is an urgent problem to be solved. Therefore, in this paper we propose a power resource dispatching framework (PRDF) with a privacy protection function, which uses a scheme based on . Using pseudonyms and aggregating users’ power data, PRDF not only protects users’ privacy, but also reduces the computing cost and communication overhead under traditional cloud computing. In addition, if the control center finds that a user has submitted abnormal data, it can send a request to the user management center to track the real identity of the user. Our scheme satisfies security requirements based on the , including confidentiality and unforgeability. Furthermore, we compare our scheme with other schemes by simulations. Simulation results show that compared with traditional methods, our method performs better in terms of the computation cost.

Keywords： Power Internet of Things     Cloud-fog cooperation     Elliptic curve     Random oracle model     Certificateless    

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Novel efficient identity-based signature on lattices

Jiang-shan Chen, Yu-pu Hu, Hong-mei Liang, Wen Gao,JSChen@mnnu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 2,   Pages 141-286 doi: 10.1631/FITEE.1900318

Abstract: With the rapid development of electronic information technology, digital signature has become an indispensable part of our lives. Traditional public key certificate cryptosystems cannot overcome the limitations of certificate management. Identity-based cryptosystems can avoid the certificate management issues. The development of quantum computers has brought serious challenges to traditional cryptography. Post-quantum cryptography research is imperative. At present, almost all post-quantum (IBS) schemes are constructed using Gaussian sampling or trapdoor technologies. However, these two technologies have a great impact on computational efficiency. To overcome this problem, we construct an IBS scheme on s by employing Lyubashevsky’s signature scheme. Based on the shortest vector problem on s, our scheme does not use Gaussian sampling or trapdoor technologies. In the , it is proved that our scheme is strongly unforgeable against adaptive chosen messages and identity attacks. The security level of our scheme is strongly unforgeable, which is a higher level than the existential unforgeability of other schemes. Compared with other efficient schemes, our scheme has advantages in computation complexity and security.

Keywords： Identity-based signature     Lattice     Strong unforgeability     Random oracle model    

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Modeling oblique load carrying capacity of batter pile groups using neural network, random forest regressionand M5 model tree

Tanvi SINGH, Mahesh PAL, V. K. ARORA

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 3,   Pages 674-685 doi: 10.1007/s11709-018-0505-3

Abstract: M5 model tree, random forest regression (RF) and neural network (NN) based modelling approaches wereM5 model tree provides simple linear relation which can be used for the prediction of oblique load forModel developed using RF regression approach with smooth pile group data was found to be in good agreement

Keywords： batter piles     oblique load test     neural network     M5 model tree     random forest regression     ANOVA    

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Development and application of a random walk model of atmospheric diffusion in the emergency response

CHI Bing, LI Hong, FANG Dong

Frontiers in Energy 2007, Volume 1, Issue 2,   Pages 195-201 doi: 10.1007/s11708-007-0025-7

Abstract: Random characteristics of atmospheric diffusion itself was described, a random walk model of atmosphericdiffusion (Random Walk) was introduced and compared with the Lagrangian puff model (RIMPUFF) in theconcentrations calculated by the two models are quite close except that the plume area calculated by RandomThe random walk model for atmospheric diffusion can simulate the atmospheric diffusion in case of nuclear

Keywords： RODOS     concentration prediction     information     nuclear     RIMPUFF    

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Coupling the porous conditional moment closure with the random pore model: applications to gasification

D. N. SAULOV, C. R. CHODANKA, M. J. CLEARY, A. Y. KLIMENKO

Frontiers of Chemical Science and Engineering 2012, Volume 6, Issue 1,   Pages 84-93 doi: 10.1007/s11705-011-1164-2

Abstract: Therefore, the development of a comprehensive, physically-based gasifier model is important.The porous conditional moment closure (PCMC) model proves to be adequate for modeling reactive transportSuch changes are not taken into account in the existing PCMC model.of the diffusive tracer distribution based on the pore size distribution given by the widely applied randompore model (RPM), while coupling PCMC with RPM.

Keywords： gasification     CO2 capture     PCMC     RPM    

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Analysis on the principle-agent model in construction project supply chain

Wu Yuhua,Zhang Qingmin

Strategic Study of CAE 2008, Volume 10, Issue 5,   Pages 75-78

Abstract:

General form of principle-agent model in integrated supply chain hasBased on the above model, construction project supply chain one-period principle-agent model and multi-periodconstruction project supply chain reputation model have been built with the characters of principle

Keywords： principle- agent model     incentive compatibility     reputation model     random walk    

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Applicability of high dimensional model representation correlations for ignition delay times of n-heptane

Wang LIU, Jiabo ZHANG, Zhen HUANG, Dong HAN

Frontiers in Energy 2019, Volume 13, Issue 2,   Pages 367-376 doi: 10.1007/s11708-018-0584-9

Abstract: In this paper, the random sampling-high dimensional model representation (RS-HDMR) methods were employed

Keywords： ignition delay     random sampling     high dimensional model representation     n-heptane     fuel kinetics    

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Simulation of heterogeneous two-phase media using random fields and level sets

George STEFANOU

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2,   Pages 114-120 doi: 10.1007/s11709-014-0267-5

Abstract: The accurate and efficient simulation of random heterogeneous media is important in the framework ofIt is usually assumed that the morphology of a random microstructure can be described as a non-Gaussianrandom field that is completely defined by its multivariate distribution.A particular kind of non-Gaussian random fields with great practical importance is that of translationmedia with emphasis on level-cut random fields which are a special case of translation fields.

Keywords： microstructure     random fields     level sets     shape recovery     two-phase media    

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Probabilistic analysis of secant piles with random geometric imperfections

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 682-695 doi: 10.1007/s11709-021-0703-2

Abstract: and provide guidelines for designing a safe and cost-effective secant-pile wall, a three-dimensional modelBy taking the pile diameter D, inclination angle β, and azimuth angle α as random

Keywords： secant piles     ultrasonic cross-hole testing     probabilistic analysis     reliability-based design     random    

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Application of random set method in a deep excavation: based on a case study in Tehran cemented alluvium

Arash SEKHAVATIAN, Asskar Janalizadeh CHOOBBASTI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 66-80 doi: 10.1007/s11709-018-0461-y

Abstract: deep excavation in layers of cemented coarse grained soil located in Tehran, Iran by non-deterministic RandomMoreover, a methodology for assessing the credibility of the uncertainty model is presented using a quality

Keywords： uncertainty     reliability analysis     deep excavations     random set method     finite difference method    

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Multiscale stochastic finite element method on random field modeling of geotechnical problems – a fast

Xi F. XU

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2,   Pages 107-113 doi: 10.1007/s11709-014-0268-4

Abstract: In this study a fast computing procedure based on the MSFEM is developed to solve random field geotechnical

Keywords： multiscale     finite element     settlement     perturbation     random field     geotechnical    

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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    

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Named entity recognition for Chinese construction documents based on conditional random field

Frontiers of Engineering Management 2023, Volume 10, Issue 2,   Pages 237-249 doi: 10.1007/s42524-021-0179-8

Abstract: This study presents a NER method for Chinese construction documents based on conditional random field(CRF), including a corpus design pipeline and a CRF model.The CRF model engineers nine transformation features and seven classes of state features, covering the

Keywords： NER     NLP     Chinese language     construction document    

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Characterization of random stress fields obtained from polycrystalline aggregate calculations using multi-scale

Bruno SUDRET,Hung Xuan DANG,Marc BERVEILLER,Asmahana ZEGHADI,Thierry YALAMAS

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2,   Pages 121-140 doi: 10.1007/s11709-015-0290-1

Abstract: spatial variability of stress fields resulting from polycrystalline aggregate calculations involving randomA periodogram-based method is proposed to identify the properties of homogeneous Gaussian random fieldsTwo cases are considered, using either a fixed or random grain geometry.

Keywords： polycrystalline aggregates     crystal plasticity     random fields     spatial variability     correlation structure    

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of catalyst temperature in automotive engines over coldstart operation in the presence of different random

Nasser L. AZAD,Ahmad MOZAFFARI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4,   Pages 405-412 doi: 10.1007/s11465-015-0354-x

Abstract:

The main scope of the current study is to develop a systematic stochastic model to capture the undesireduncertainty and random noises on the key parameters affecting the catalyst temperature over the coldstart, is deemed to be an intricate task, and it is unlikely to develop an exact physics-based nonlinear modelHere, the authors introduce a random noise to experimentally derived data and simulate an uncertain databaseThen, by using a Gaussian process regression machine (GPRM), a reliable model is used for the sake of

Keywords： automotive engine     calibration     coldstart operation     Gaussian process regression machine (GPRM)     uncertainty and random    

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Title Author Date Type Operation

A power resource dispatching framework with a privacy protection function in the Power Internet of Things

Shuanggen LIU, Shuangzi ZHENG, Wenbo ZHANG, Runsheng FU

Journal Article

Novel efficient identity-based signature on lattices

Jiang-shan Chen, Yu-pu Hu, Hong-mei Liang, Wen Gao,JSChen@mnnu.edu.cn

Journal Article

Modeling oblique load carrying capacity of batter pile groups using neural network, random forest regressionand M5 model tree

Tanvi SINGH, Mahesh PAL, V. K. ARORA

Journal Article

Development and application of a random walk model of atmospheric diffusion in the emergency response

CHI Bing, LI Hong, FANG Dong

Journal Article

Coupling the porous conditional moment closure with the random pore model: applications to gasification

D. N. SAULOV, C. R. CHODANKA, M. J. CLEARY, A. Y. KLIMENKO

Journal Article

Analysis on the principle-agent model in construction project supply chain

Wu Yuhua,Zhang Qingmin

Journal Article

Applicability of high dimensional model representation correlations for ignition delay times of n-heptane

Wang LIU, Jiabo ZHANG, Zhen HUANG, Dong HAN

Journal Article

Simulation of heterogeneous two-phase media using random fields and level sets

George STEFANOU

Journal Article

Probabilistic analysis of secant piles with random geometric imperfections

Journal Article

Application of random set method in a deep excavation: based on a case study in Tehran cemented alluvium

Arash SEKHAVATIAN, Asskar Janalizadeh CHOOBBASTI

Journal Article

Multiscale stochastic finite element method on random field modeling of geotechnical problems – a fast

Xi F. XU

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

Named entity recognition for Chinese construction documents based on conditional random field

Journal Article

Characterization of random stress fields obtained from polycrystalline aggregate calculations using multi-scale

Bruno SUDRET,Hung Xuan DANG,Marc BERVEILLER,Asmahana ZEGHADI,Thierry YALAMAS

Journal Article

of catalyst temperature in automotive engines over coldstart operation in the presence of different random

Nasser L. AZAD,Ahmad MOZAFFARI

Journal Article