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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., we conduct a comprehensive overview of the development of reliability metrics for power grids and telecommunicationnetworks.power grid into the reliability of power distribution and generation/transmission and the metrics of telecommunicationTo conclude this study, we conceive a few topics for future research and development for telecommunication

Keywords： reliability     metrics     power grids     telecommunication networks    

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Meteorological Telecommunication Network &Computer Systems Engineering

Li Huang,Wang Chunhu

Strategic Study of Chinese Academy of Engineering 2000, Volume 2, Issue 9,   Pages 101-106

Abstract:

As the information infrastructure for the meteorological services in China, meteorological telecommunicationnetworks and computer systems have made great progress in terms of networking and computer applicationsThis article introduces the developments regarding both meteorological telecommunication networks and

Keywords： telecommunication network     computer     systems engineering    

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The Development Trent of Advanced Communication Technology

Bi Houjie

Strategic Study of Chinese Academy of Engineering 2000, Volume 2, Issue 8,   Pages 31-34

Abstract:

In this paper, the development trend of advanced communication network terminals is summarized and analyzed. It is instructive to point out that industrialization of communication software and development of the EDA technology must be strengthened in order to meet the challenge of entering WTO.

Keywords： telecommunication network     grouping     multimedium     mobility     communication terminal    

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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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ECOLOGICAL NETWORKS IN AGROECOSYSTEMS: APPROACHES AND APPLICATIONS

Frontiers of Agricultural Science and Engineering 2022, Volume 9, Issue 4,   Pages 523-535 doi: 10.15302/J-FASE-2022466

Abstract:

● Agricultural intensification reduced the complexity and connectance of soil food webs.

Keywords： bipartite network     co-occurrence network     food web     network theory    

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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 Chinese Academy of Engineering 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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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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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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Study of Existing Problems and Solution in Vehicle Monitoring System

Zhu Zhuangsheng,Wan Dejun,Wang Qing,Zhang Xiaoguo

Strategic Study of Chinese Academy of Engineering 2003, Volume 5, Issue 9,   Pages 49-54

Abstract: existing in the vehicle monitoring system, such as digital map model errors lead to map matching errors; telecommunicationGIS/DR protocol for solving telecommunication system information lag, nerve cell for solving global position

Keywords： GPS     digital map     vehicle monitoring system     telecommunication system    

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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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METABOLIC AND TRANSCRIPTOME ANALYSIS REVEALS METABOLITE VARIATION AND FLAVONOID REGULATORY NETWORKS IN

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 2,

Abstract:

Metabolites, especially secondary metabolites, are very important in the adaption of tea plants and the quality of tea products. Here, we focus on the seasonal variation in metabolites of fresh tea shoots and their regulatory mechanism at the transcriptional level. The metabolic profiles of fresh tea shoots of 10 tea accessions collected in spring, summer, and autumn were analyzed using ultra-performance liquid chromatography coupled with quadrupole-obitrap mass spectrometry. We focused on the metabolites and key genes in the phenylpropanoid/flavonoid pathway integrated with transcriptome analysis. Multivariate statistical analysis indicates that metabolites were distinctly different with seasonal alternation. Flavonoids, amino acids, organic acids and alkaloids were the predominant metabolites. Levels of most key genes and downstream compounds in the flavonoid pathway were lowest in spring but the catechin quality index was highest in spring. The regulatory pathway was explored by constructing a metabolite correlation network and a weighted gene co-expression network.

 

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Visualization of force networks in 2D dense granular materials

Jianguo LIU, Qicheng SUN, Feng JIN,

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 1,   Pages 109-115 doi: 10.1007/s11709-010-0003-8

Abstract: Dense granular matter is a conglomeration of discrete solid and closely packed particles. As subjected to external loadings, the stress is largely transmitted by heavily stressed chains of particles forming a sparse network of larger contact forces. To understand the structure and evolution of force chains, a photoelastic technique was improved for determining stresses and strains in the assemblies of photoelastic granular disks in this paper. A two-dimensional vertical slab was designed. It contains 7200 polydispersed photoelastic disks and is subjected to a localized probe penetrating at the top of the slab to mimic the cone penetration test. The interparticle contact force distribution was found a peak around the mean value, a roughly exponential tail for greater force and a dip toward zero for smaller force. The force chain network around the probe tip was depicted, and the contact angle distribution of particles in force chains was found to be well aligned in the directions of major principal stress.

Keywords： granular matter     force chain     multiscale modeling    

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Title Author Date Type Operation

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

Journal Article

Meteorological Telecommunication Network &Computer Systems Engineering

Li Huang,Wang Chunhu

Journal Article

The Development Trent of Advanced Communication Technology

Bi Houjie

Journal Article

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

ECOLOGICAL NETWORKS IN AGROECOSYSTEMS: APPROACHES AND APPLICATIONS

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

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

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

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

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

7 Jul 2022

Conference Videos

Study of Existing Problems and Solution in Vehicle Monitoring System

Zhu Zhuangsheng,Wan Dejun,Wang Qing,Zhang Xiaoguo

Journal Article

Aslotted floor acquisitionmultiple access based MACprotocol for underwater acoustic networks withRTS

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

Journal Article

METABOLIC AND TRANSCRIPTOME ANALYSIS REVEALS METABOLITE VARIATION AND FLAVONOID REGULATORY NETWORKS IN

Journal Article

Visualization of force networks in 2D dense granular materials

Jianguo LIU, Qicheng SUN, Feng JIN,

Journal Article