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MEC-Empowered Non-Terrestrial Network for 6G Wide-Area Time-Sensitive Internet of Things Article

Chengxiao Liu, Wei Feng, Xiaoming Tao, Ning Ge

Engineering 2022, Volume 8, Issue 1,   Pages 96-107 doi: 10.1016/j.eng.2021.11.002

Abstract: technologies are difficult to directly use for wide-area time-sensitive IoT, it is beneficial to use non-terrestrialThus, we can build a non-terrestrial network (NTN) using a cell-free architecture.

Keywords： Cell-free Mobile edge computing     Non-terrestrial networks     Sixth-generation     Wide-area time-sensitive    

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Current scenario and challenges of plastic pollution in Bangladesh: a focus on farmlands and terrestrial

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1666-4

Abstract:

● A global snapshot of plastic waste generation and disposal is analysed.

Keywords： Plastic waste     Farmlands     Terrestrial ecosystem     Marine life    

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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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A conceptual methodology for simultaneous optimization of water and heat with non-isothermal mixing

Yanlong Hou, Wanni Xie, Zhenya Duan, Jingtao Wang

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 2,   Pages 154-165 doi: 10.1007/s11705-016-1593-z

Abstract: A new conceptual methodology is proposed to simultaneously integrate water allocation and energy networkswith non-isothermal mixing.the obtained WAN, the whole water allocation and heat exchange network (WAHEN) is combined with the non-isothermal

Keywords： simultaneous integration     non-isothermal mixing     multi-target optimization     water and energy networks    

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Impacts and Control Strategies of Acid Deposition on Terrestrial Ecosystems in China

Feng Zongwei

Strategic Study of CAE 2000, Volume 2, Issue 9,   Pages 5-11

Abstract: Acid deposition has serious damaged the terrestrial ecosystems.

Keywords： acid deposition     terrestrial ecosystems     economic loss     control strategy    

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The Advances of the study on effects of climate change on the terrestrial biodiversity

Wu Jianguo

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 60-68

Abstract:

The impacts of climate change on the biodiversity are become a crucial issue of conversation biodiversity. The general trends of the study impacts of climate change on the diversity of gene, population, and ecosystem diversity were reviewed and future research also been suggested in this paper. The studies about the effects of climate change on biodiversity should be further improved.

Keywords： climate change     biodiversity     effects    

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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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Embracing non-orthogonalmultiple access in future wireless networks None

Zhi-guo DING, Mai XU, Yan CHEN, Mu-gen PENG, H. Vincent POOR

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 3,   Pages 322-339 doi: 10.1631/FITEE.1800051

Abstract: This paper provides a comprehensive survey of the impact of the emerging communication technique, non-orthogonalmultiple access (NOMA), on future wireless networks.The impact of NOMA on communication systems beyond cellular networks is also illustrated, through theexamples of digital TV, satellite communications, vehicular networks, and visible light communications

Keywords： Non-orthogonal multiple access (NOMA)     Wireless caching     Multiple-input multiple-output (MIMO) NOMA     CooperativeNOMA     Millimeter-wave networks     Visible light communications (VLC)    

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Bevacizumab in combination with pemetrexed and platinum for elderly patients with advanced non-squamousnon-small-cell lung cancer: a retrospective analysis

Frontiers of Medicine 2022, Volume 16, Issue 4,   Pages 610-617 doi: 10.1007/s11684-021-0827-8

Abstract: anti-VEGF monoclonal antibody, has significantly improved the clinical outcomes of patients with advanced non-squamous

Keywords： bevacizumab     elderly patient     advanced non-small-cell lung cancer     overall survival     toxicity    

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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 Networksapproximations than those achieved with the original vulnerability approach, which has revealed to be quite non-conservative

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

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Error analysis of the parameters for non-coaxial grazing X-ray microscope

ZHAO Lingling, HU Jiasheng, LI Xiang

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 3,   Pages 323-329 doi: 10.1007/s11465-007-0057-z

Abstract: A non-coaxial grazing X-ray microscope, consisting of four spherical mirrors, is designed for diagnosisA set of non-coaxial grazing X-ray microscopes is manufactured based on the tolerances.

Keywords： non-coaxial     spherical     manufacturing     necessary     diagnosis    

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Title Author Date Type Operation

MEC-Empowered Non-Terrestrial Network for 6G Wide-Area Time-Sensitive Internet of Things

Chengxiao Liu, Wei Feng, Xiaoming Tao, Ning Ge

Journal Article

Current scenario and challenges of plastic pollution in Bangladesh: a focus on farmlands and terrestrial

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

A conceptual methodology for simultaneous optimization of water and heat with non-isothermal mixing

Yanlong Hou, Wanni Xie, Zhenya Duan, Jingtao Wang

Journal Article

Impacts and Control Strategies of Acid Deposition on Terrestrial Ecosystems in China

Feng Zongwei

Journal Article

The Advances of the study on effects of climate change on the terrestrial biodiversity

Wu Jianguo

Journal Article

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

Embracing non-orthogonalmultiple access in future wireless networks

Zhi-guo DING, Mai XU, Yan CHEN, Mu-gen PENG, H. Vincent POOR

Journal Article

Bevacizumab in combination with pemetrexed and platinum for elderly patients with advanced non-squamousnon-small-cell lung cancer: a retrospective analysis

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

Error analysis of the parameters for non-coaxial grazing X-ray microscope

ZHAO Lingling, HU Jiasheng, LI Xiang

Journal Article

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

7 Jul 2022

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