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Output tracking of delayed logical control networks withmulti-constraint Research Articles

Ya-ting ZHENG, Jun-e FENG

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2,   Pages 316-323 doi: 10.1631/FITEE.1900376

Abstract: In this study, the output tracking of delayed logical control networks (DLCNs) with state and controldelays, state-dependent delay updates its value depending on the current state values and a pseudo-logical

Keywords： Logical control networks     Multi-constraint     Output tracking     Stabilization     State-dependent delay     Semi-tensor    

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The Strict Avalanche Criterion of Order k Spectral Properties of m-Valued Logical Functions

Guojinhui,LiShiqu

Strategic Study of CAE 2005, Volume 7, Issue 12,   Pages 45-48

Abstract:

Many cryptographic properties of m - valued logical functions are often described by their Chrestensonspectrums and autocorrelation functions play important roles in properties and construct ions for m-valued logicalresidue class ring Zm, the concept of the strict avalanche criterion of order k of m-valued logicalThen, by applying probabilistic thought and methods, the rule that a w-valued logical function fulfillsFinally, by Chrestenson cyclic spectrums, a necessary and sufficient condition on a m-valued logical

Keywords： m-valued logical function     Chrestenson cyclic spectrum     auto-correlation function     the strict avalanche    

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Newdevelopments in control design techniques of logical control networks Review Articles

Xiang-shan KONG, Shu-ling WANG, Hai-tao LI, Fuad E. ALSAADI

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2,   Pages 220-233 doi: 10.1631/FITEE.1900397

Abstract: The control design problem plays a fundamental role in the study of logical control networks (LCNs).

Keywords： Logical control network     Control design     Semi-tensor product of matrices    

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On observability of Galois nonlinear feedback shift registers over finite fields Research Article

Zhe GAO, Jun´e FENG, Yongyuan YU, Yanjun CUI

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 10,   Pages 1533-1545 doi: 10.1631/FITEE.2200228

Abstract:

ensures that any two distinct initial states can be uniquely determined by their outputs, so the stream ciphers can avoid unobservable to prevent the occurrence of equivalent keys. This paper discusses the of over . are treated as using the . The vector form of the state transition matrix is introduced, by which a necessary and sufficient condition is proposed, as well as an algorithm for determining the of general . Moreover, a new matrix is defined, which can derive a matrix method with lower computation complexity. Furthermore, the of two special types of , a full-length Galois NFSR and a nonsingular Galois NFSR, is investigated. Two methods are proposed to determine the of these two special types of NFSRs, and some numerical examples are provided to support these results.

Keywords： Observability     Nonlinear feedback shift registers (NFSRs)     Galois NFSRs     Semi-tensor product     Finite fields     Logicalnetworks    

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Novel interpretable mechanism of neural networks based on network decoupling method

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 572-581 doi: 10.1007/s42524-021-0169-x

Abstract: The lack of interpretability of the neural network algorithm has become the bottleneck of its wide application. We propose a general mathematical framework, which couples the complex structure of the system with the nonlinear activation function to explore the decoupled dimension reduction method of high-dimensional system and reveal the calculation mechanism of the neural network. We apply our framework to some network models and a real system of the whole neuron map of Caenorhabditis elegans. Result shows that a simple linear mapping relationship exists between network structure and network behavior in the neural network with high-dimensional and nonlinear characteristics. Our simulation and theoretical results fully demonstrate this interesting phenomenon. Our new interpretation mechanism provides not only the potential mathematical calculation principle of neural network but also an effective way to accurately match and predict human brain or animal activities, which can further expand and enrich the interpretable mechanism of artificial neural network in the future.

Keywords： neural networks     interpretability     dynamical behavior     network decouple    

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Capacity analysis for cognitive heterogeneous networks with ideal/non-ideal sensing

Tao HUANG, Ying-lei TENG, Meng-ting LIU, Jiang LIU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 1,   Pages 1-11 doi: 10.1631/FITEE.1400129

Abstract: to irregular deployment of small base stations (SBSs), the interference in cognitive heterogeneous networks

Keywords： Cognitive heterogeneous networks     Markov chain     Stochastic geometry     Homogeneous Poisson point process (    

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Study and Application of Steady Flow and Unsteady Flow Mathematical Model for Canal Networks

Zhang Mingliang,Shen Yongming

Strategic Study of CAE 2007, Volume 9, Issue 8,   Pages 92-96

Abstract: and canal networks is developed and the key issues on the model are expatiated particularly in this This model is applied to simulating the tree-type irrigation canal networks and complex loopedcanal networks.and river networks.and canal networks.

Keywords： Preissmann implicit scheme     canal networks and river networks     discharge distribution     water quality    

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Evaluation of the situational awareness effects for smart distribution networks under the novel

Leijiao GE, Yuanliang LI, Suxuan LI, Jiebei ZHU, Jun YAN

Frontiers in Energy 2021, Volume 15, Issue 1,   Pages 143-158 doi: 10.1007/s11708-020-0703-2

Abstract: As a key application of smart grid technologies, the smart distribution network (SDN) is expected to have a high diversity of equipment and complexity of operation patterns. Situational awareness (SA), which aims to provide a critical visibility of the SDN, will enable a significant assurance for stable SDN operations. However, the lack of systematic evaluation through the three stages of perception, comprehensive, and prediction may prevent the SA technique from effectively achieving the performance necessary to monitor and respond to events in SDN. To analyze the feasibility and effectiveness of the SA technique for the SDN, a comprehensive evaluation framework with specific performance indicators and systematic weighting methods is proposed in this paper. Besides, to implement the indicator framework while addressing the key issues of human expert scoring ambiguity and the lack of data in specific SDN areas, an improved interval-based analytic hierarchy process-based subjective weighting and a multi-objective programming method-based objective weighting are developed to evaluate the SDN SA performance. In addition, a case study in a real distribution network of Tianjin China is conducted whose outcomes verify the practicality and effectiveness of the proposed SA technique for SDN operating security.

Keywords： distribution networks     operation and maintenance     expert systems    

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Predicting the yield of pomegranate oil from supercritical extraction using artificial neural networks

J. Sargolzaei, A. Hedayati Moghaddam

Frontiers of Chemical Science and Engineering 2013, Volume 7, Issue 3,   Pages 357-365 doi: 10.1007/s11705-013-1336-3

Abstract: The performance of these networks was evaluated using the coefficient of determination ( ) and the mean

Keywords： oil recovery     artificial intelligence     extraction     neural networks     supercritical extraction    

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The use of Artificial Neural Networks to estimate seismic damage and derive vulnerability functions for

Tiago Miguel FERREIRA, João ESTÊVÃO, Rui MAIO, Romeu VICENTE

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 3,   Pages 609-622 doi: 10.1007/s11709-020-0623-6

Abstract: obtained resorting to a classic damage formulation and an innovative approach based on Artificial Neural Networks

Keywords： Artificial Neural Networks     seismic vulnerability     masonry buildings     damage estimation     vulnerability curves    

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Characters of topological relations and its applications in spatial reasoning

Li Chengming and Liu Xiaoli

Strategic Study of CAE 2013, Volume 15, Issue 5,   Pages 14-19

Abstract:

In the paper,the formal representation of topological relationships are proposed according to our early research results, and the characters are also introduced. Based on these characters, the results for com-posite topological relations are introduced. At last, the applications in spatial reasoning are proposed.

Keywords： topological relationship     composite of topological relations     spatial reasoning     algbra reasoning     logical    

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Exploring self-organization and self-adaption for smart manufacturing complex networks

Frontiers of Engineering Management 2023, Volume 10, Issue 2,   Pages 206-222 doi: 10.1007/s42524-022-0225-1

Abstract: Specifically, a general model of smart manufacturing complex networks is constructed using scale-freenetworks to interconnect heterogeneous manufacturing resources represented by network vertices at multipleinto virtual manufacturing services using cloud technology, which can be added to or removed from the networksMaterials, information, and financial assets are passed through interactive links across the networks

Keywords： cyber–physical systems     Industrial Internet of Things     smart manufacturing complex networks     self-organization    

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An overview of the reliability metrics for power grids and telecommunication networks

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 531-544 doi: 10.1007/s42524-021-0167-z

Abstract: Power grids deliver energy, and telecommunication networks transmit information.comprehensive overview of the development of reliability metrics for power grids and telecommunication networks

Keywords： reliability     metrics     power grids     telecommunication networks    

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Aslotted floor acquisitionmultiple access based MACprotocol for underwater acoustic networks withRTS

Liang-fang QIAN,Sen-lin ZHANG,Mei-qin LIU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3,   Pages 217-226 doi: 10.1631/FITEE.1400187

Abstract: error rate pose great challenges in media access control (MAC) protocol design for underwater acoustic networksprotocol called slotted floor acquisition multiple access (slotted-FAMA) suitable for underwater acoustic networksHowever, slotted-FAMA is not suitable for dense networks since the multiple request-to-send (RTS) attemptsproblem in dense networks is serious and greatly limits the network throughput.overcome this drawback, this paper proposes a slotted-FAMA based MAC protocol for underwater acoustic networks

Keywords： Underwater acoustic networks     Medium access control (MAC)     Request-to-send (RTS) competition     Throughput    

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Title Author Date Type Operation

Output tracking of delayed logical control networks withmulti-constraint

Ya-ting ZHENG, Jun-e FENG

Journal Article

The Strict Avalanche Criterion of Order k Spectral Properties of m-Valued Logical Functions

Guojinhui,LiShiqu

Journal Article

Newdevelopments in control design techniques of logical control networks

Xiang-shan KONG, Shu-ling WANG, Hai-tao LI, Fuad E. ALSAADI

Journal Article

On observability of Galois nonlinear feedback shift registers over finite fields

Zhe GAO, Jun´e FENG, Yongyuan YU, Yanjun CUI

Journal Article

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

Capacity analysis for cognitive heterogeneous networks with ideal/non-ideal sensing

Tao HUANG, Ying-lei TENG, Meng-ting LIU, Jiang LIU

Journal Article

Study and Application of Steady Flow and Unsteady Flow Mathematical Model for Canal Networks

Zhang Mingliang,Shen Yongming

Journal Article

Evaluation of the situational awareness effects for smart distribution networks under the novel

Leijiao GE, Yuanliang LI, Suxuan LI, Jiebei ZHU, Jun YAN

Journal Article

Predicting the yield of pomegranate oil from supercritical extraction using artificial neural networks

J. Sargolzaei, A. Hedayati Moghaddam

Journal Article

The use of Artificial Neural Networks to estimate seismic damage and derive vulnerability functions for

Tiago Miguel FERREIRA, João ESTÊVÃO, Rui MAIO, Romeu VICENTE

Journal Article

Characters of topological relations and its applications in spatial reasoning

Li Chengming and Liu Xiaoli

Journal Article

Dong Chaoyang: Interpretable Memristive-LSTM Networks for Probabilistic Power System Forecasting (2022

7 Jul 2022

Conference Videos

Exploring self-organization and self-adaption for smart manufacturing complex networks

Journal Article

An overview of the reliability metrics for power grids and telecommunication networks

Journal Article

Aslotted floor acquisitionmultiple access based MACprotocol for underwater acoustic networks withRTS

Liang-fang QIAN,Sen-lin ZHANG,Mei-qin LIU

Journal Article