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Cross-layer QoS routing algorithm of metric-based cooperative relay in WSNs

Xu Nan,Sun Yamin,Yu Jiming,Wang Hua

Strategic Study of CAE 2011, Volume 13, Issue 3,   Pages 45-49

Abstract: text-align: justify;">We proposed a cross-layer QoS routing algorithm which is metric-based cooperative relaySimulation results show that MCRICQR can prolong the lifetime of network and guarantee the required QoSload balance which improve the reliability and energy efficiency and throughput of WSN(wireless sensor network

Keywords： quality of service     cross-layer design     cooperative relay     initiative forwarding     wireless sensor network    

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Efficient detection methods for amplify-and-forward relay-aided device-to-device systems with full-rate Article

Kang-li ZHANG, Cong ZHANG, Fang-lin GU, Jian WANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 6,   Pages 788-795 doi: 10.1631/FITEE.1700018

Abstract: Relay-aided device-to-device (D2D) communication is a promising technology for the next-generation cellularnetwork.We study the transmission schemes for an amplify-and-forward relay-aided D2D system which has multiple

Keywords： Device-to-device     Relay     Detection     Full-rate space-time block code    

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New method for computer numerical control machine tool calibration: Relay method

LIU Huanlao, SHI Hanming, LI Bin, ZHOU Huichen

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 3,   Pages 301-304 doi: 10.1007/s11465-007-0053-3

Abstract: Relay measurement method, which uses the kilogram-meter (KGM) measurement system to identify volumetricThe process outlined above is called the relay method.

Keywords： positional     volumetric     information     process     repeatability    

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Multi-user rate and power analysis in a cognitive radio network with massive multi-input multi-output None

Shang LIU, Ishtiaq AHMAD, Ping ZHANG, Zhi ZHANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 5,   Pages 674-684 doi: 10.1631/FITEE.1700081

Abstract: that contains relay and massive multi-input multi-output (MIMO).The downlink transmission performance of a relay-aided massive MIMO network without CR is derived.only to the relay-to-users stage.The interference between the primary network and secondary network can be canceled asymptotically.the primary network.

Keywords： Massive multi-input multi-output     Cognitive radio     Relay network     Transmission rate     Power analysis    

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Adaptive robust beamformer formulti-pair two-way relay networks with imperfect channel state information

Jin WANG,Feng SHU,Ri-qing CHEN,Yu-di CUI,Yu CHEN,Jun LI

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3,   Pages 265-280 doi: 10.1631/FITEE.1500134

Abstract: In wideband multi-pair two-way relay networks, the performance of beamforming at a relay station (RS)

Keywords： Multi-pair two-way relay     Adaptive robust beamformer     Channel state information (CSI)     Maximum signal-to-interference-and-noise    

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Joint cooperative beamforming and artificial noise design for secureAF relay networks with energy-harvesting Article

He-hao NIU, Bang-ning ZHANG, Dao-xing GUO, Yu-zhen HUANG, Ming-yue LU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 6,   Pages 850-862 doi: 10.1631/FITEE.1601832

Abstract: physical layer security for simultaneous wireless information and power transfer in amplify-and-forward relay

Keywords： Simultaneous wireless information and power transfer     Physical layer security     Relay networks     Cooperative    

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Semidefinite relaxation aided noncoherent detection in two-way relay transmission Regular Papers-Research Articles

Chan-fei WANG, Ji-ai HE, Wei-fang WANG, Ya-mei XU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 9,   Pages 1259-1265 doi: 10.1631/FITEE.1800096

Abstract: high-performance noncoherent transmission scheme is proposed in the broadcasting phase of a twoway relay

Keywords： Multiple-symbol differential detection     Generalized likelihood ratio test     Semidefinite relaxation     Two-way relay    

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Efficient photoelectrochemical oxidation of rhodamine B on metal electrodes without photocatalyst or supporting electrolyte

Xuejiao Wang, Xiang Feng, Jing Shang

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 6, doi: 10.1007/s11783-018-1061-8

Abstract:

•The efficient PEC degradation of RhB is realized using no photocatalyst.

•The efficient PEC degradation of RhB features the low salinity.

•The PEC degradation of RhB takes place on the anode and cathode simultaneously.

Keywords： Energy relay structure     Energy saving     Photocatalyst-free and low-salinity degradation     Photoelectrochemical    

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Anovel resource optimization scheme for multi-cellOFDMArelay network Article

Ning DU,Fa-sheng LIU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 8,   Pages 825-833 doi: 10.1631/FITEE.1500294

Abstract: BSs serve as decode-and-forward (DF) relay nodes to users.In this case, a BS can behave as a two-way relay to achieve information exchange instead of using conventionalDF relay.We consider a multi-cell orthogonal frequency division multiple access (OFDMA) network that comprises

Keywords： Intra-cell communication     Two-way relay     Subcarrier assignment     Subcarrier pairing    

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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 applicationdimension reduction method of high-dimensional system and reveal the calculation mechanism of the neural networkWe apply our framework to some network models and a real system of the whole neuron map of CaenorhabditisResult shows that a simple linear mapping relationship exists between network structure and network behaviorin the neural network with high-dimensional and nonlinear characteristics.

Keywords： neural networks     interpretability     dynamical behavior     network decouple    

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A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0736-9

Abstract: Recently, advanced sensing techniques ensure a large number of multivariate sensing data for intelligent fault diagnosis of machines. Given the advantage of obtaining accurate diagnosis results, multi-sensor fusion has long been studied in the fault diagnosis field. However, existing studies suffer from two weaknesses. First, the relations of multiple sensors are either neglected or calculated only to improve the diagnostic accuracy of fault types. Second, the localization for multi-source faults is seldom investigated, although locating the anomaly variable over multivariate sensing data for certain types of faults is desirable. This article attempts to overcome the above weaknesses by proposing a global method to recognize fault types and localize fault sources with the help of multi-sensor relations (MSRs). First, an MSR model is developed to learn MSRs automatically and further obtain fault recognition results. Second, centrality measures are employed to analyze the MSR graphs learned by the MSR model, and fault sources are therefore determined. The proposed method is demonstrated by experiments on an induction motor and a centrifugal pump. Results show the proposed method’s validity in diagnosing fault types and sources.

Keywords： fault recognition     fault localization     multi-sensor relations     network analysis     graph neural network    

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Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1285-1298 doi: 10.1007/s11709-020-0691-7

Abstract: This article intends to model the multiscale constitution using feedforward neural network (FNN) andrecurrent neural network (RNN), and appropriate set of loading paths are selected to effectively predict

Keywords： multiscale method     constitutive model     feedforward neural network     recurrent neural network    

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Heat, mass, and work exchange networks

Zhiyou CHEN, Jingtao WANG

Frontiers of Chemical Science and Engineering 2012, Volume 6, Issue 4,   Pages 484-502 doi: 10.1007/s11705-012-1221-5

Abstract: This review presents the main works related to each network.

Keywords： process system engineering     integration methods     heat exchange network     mass exchange network     work exchangenetwork    

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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: To address this issue, this paper explores a decision-tree-structured neural network, that is, the deepconvolutional tree-inspired network (DCTN), for the hierarchical fault diagnosis of bearings.The proposed model effectively integrates the advantages of convolutional neural network (CNN) and decision

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network    

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Identifying spreading influence nodes for social networks

Frontiers of Engineering Management   Pages 520-549 doi: 10.1007/s42524-022-0190-8

Abstract: The identification of spreading influence nodes in social networks, which studies how to detect important individuals in human society, has attracted increasing attention from physical and computer science, social science and economics communities. The identification algorithms of spreading influence nodes can be used to evaluate the spreading influence, describe the node’s position, and identify interaction centralities. This review summarizes the recent progress about the identification algorithms of spreading influence nodes from the viewpoint of social networks, emphasizing the contributions from physical perspectives and approaches, including the microstructure-based algorithms, community structure-based algorithms, macrostructure-based algorithms, and machine learning-based algorithms. We introduce diffusion models and performance evaluation metrics, and outline future challenges of the identification of spreading influence nodes.

Keywords： complex network     network science     spreading influence     machine learning    

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Title Author Date Type Operation

Cross-layer QoS routing algorithm of metric-based cooperative relay in WSNs

Xu Nan,Sun Yamin,Yu Jiming,Wang Hua

Journal Article

Efficient detection methods for amplify-and-forward relay-aided device-to-device systems with full-rate

Kang-li ZHANG, Cong ZHANG, Fang-lin GU, Jian WANG

Journal Article

New method for computer numerical control machine tool calibration: Relay method

LIU Huanlao, SHI Hanming, LI Bin, ZHOU Huichen

Journal Article

Multi-user rate and power analysis in a cognitive radio network with massive multi-input multi-output

Shang LIU, Ishtiaq AHMAD, Ping ZHANG, Zhi ZHANG

Journal Article

Adaptive robust beamformer formulti-pair two-way relay networks with imperfect channel state information

Jin WANG,Feng SHU,Ri-qing CHEN,Yu-di CUI,Yu CHEN,Jun LI

Journal Article

Joint cooperative beamforming and artificial noise design for secureAF relay networks with energy-harvesting

He-hao NIU, Bang-ning ZHANG, Dao-xing GUO, Yu-zhen HUANG, Ming-yue LU

Journal Article

Semidefinite relaxation aided noncoherent detection in two-way relay transmission

Chan-fei WANG, Ji-ai HE, Wei-fang WANG, Ya-mei XU

Journal Article

Efficient photoelectrochemical oxidation of rhodamine B on metal electrodes without photocatalyst or supporting electrolyte

Xuejiao Wang, Xiang Feng, Jing Shang

Journal Article

Anovel resource optimization scheme for multi-cellOFDMArelay network

Ning DU,Fa-sheng LIU

Journal Article

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Journal Article

Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Journal Article

Heat, mass, and work exchange networks

Zhiyou CHEN, Jingtao WANG

Journal Article

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Journal Article

Identifying spreading influence nodes for social networks

Journal Article