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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: class="habstract">In the upcoming sixth-generation (6G) era, the demand for constructing a wide-area time-sensitiveAs conventional cellular technologies are difficult to directly use for wide-area time-sensitiveThus, we can build a non-terrestrial network (NTN) using a cell-free architecture.Driven by the time-sensitive requirements and uneven distribution of IoT devices, the NTN must beusing resources, and confirmed that it is advantageous to integrate NTN with MEC for wide-area time-sensitive

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

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Development of Deterministic Networking Techniques for Industrial Manufacturing

Wang Shuo, Wang Jiasen, Cai Lei, Huang Tao, Lu Hua, Liu Yunjie

Strategic Study of CAE 2021, Volume 23, Issue 2,   Pages 22-29 doi: 10.15302/J-SSCAE-2021.02.004

Abstract: Internet and for promoting the integrated development of industrial manufacturing and high-quality network, thereby providing opportunities for occupying the commanding height of network technology and seizingResearch reveals that the “deterministic network + industrial manufacturing” development

Keywords： industrial manufacturing     industrial Internet     deterministic network     time-sensitive network     the fifth-generation    

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Negative weights in network time model

Zoltán A. VATTAI, Levente MÁLYUSZ

Frontiers of Engineering Management 2022, Volume 9, Issue 2,   Pages 268-280 doi: 10.1007/s42524-020-0109-1

Abstract: Time does not go backward.Previous network techniques (CPM/PERT/PDM) did not support negative parameters and/or loops (potentiallyMonsieur Roy and John Fondahl implicitly introduced negative weights into network techniques to representplan), and a surprisingly flexible and handy network model can be developed that provides all the advantagesreview the theoretical possibilities and technical interpretations (and use) of negative weights in network

Keywords： graph technique     network technique     construction management     scheduling    

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Understanding network travel time reliability with on-demand ride service data

Xiqun (Michael) CHEN, Xiaowei CHEN, Hongyu ZHENG, Chuqiao CHEN

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 388-398 doi: 10.15302/J-FEM-2017046

Abstract: To better evaluate the urban network-wide travel time reliability, five indices based on the emergingon-demand ride service data are proposed: network free flow time rate (NFFTR), network travel time rate(NTTR), network planning time rate (NPTR), network buffer time rate (NBTR), and network buffer timeFor demonstrative purposes, the network-wide travel time reliability of Beijing is analyzed in detailof the road network traffic dynamics and day-to-day travel time variations.

Keywords： network travel time reliability     on-demand ride services     travel time rate     OD    

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Virtual network embedding based on real-time topological attributes

Jian DING,Tao HUANG,Jiang LIU,Yun-jie LIU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2,   Pages 109-118 doi: 10.1631/FITEE.1400147

Abstract: As a great challenge of network virtualization, virtual network embedding/mapping is increasingly importantIt aims to successfully and efficiently assign the nodes and links of a virtual network (VN) onto a sharedsubstrate network.In this paper, a new embedding algorithm is proposed based on real-time topological attributes.A simulator is built to evaluate the performance of the proposed virtual network embedding (VNE) algorithm

Keywords： Virtual network embedding (VNE)     Real-time topological attributes     Betweenness centrality     Correlationproperties     Network virtualization    

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Real-time tool condition monitoring method based on temperature measurement and artificial neural network

Frontiers of Mechanical Engineering doi: 10.1007/s11465-021-0661-3

Abstract: Here, a real-time tool condition monitoring method integrated in an in situ fiber optic temperatureThe spectrum features are then selected and input into the artificial neural network for classificationFurthermore, an application program with a graphical user interface is constructed to present real-time

Keywords： tool condition monitoring     cutting temperature     neural network     learning rate adaption    

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Robust energy-efficient train speed profile optimization in a scenario-based position–time–speed network

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 595-614 doi: 10.1007/s42524-021-0173-1

Abstract: Specifically, we first construct a scenario-based position–time–speed (PTS) network by considering resistancemodel efficiently, we present several algorithms to eliminate the infeasible nodes and arcs in the PTS network

Keywords： robust train speed profile     percentile reliability model     scenario-based position–time–speed network    

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Time-series prediction based on global fuzzy measure in social networks

Li-ming YANG,Wei ZHANG,Yun-fang CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 805-816 doi: 10.1631/FITEE.1500025

Abstract: Social network analysis (SNA) is among the hottest topics of current research.The traditional social network is transformed into a fuzzy network by replacing the traditional relationsFinally, the trend of fuzzy network evolution is analyzed and predicted with a fuzzy Markov chain.Experimental results demonstrate that the fuzzy network has more superiority than the traditional networkin describing the network evolution process.

Keywords： Time-series network     Fuzzy network     Fuzzy Markov chain    

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The molecular epidemiological study of colistin-only-sensitive strains in multi-drug resistant Acinetobacter

YANG Li, HAN Lizhong, SUN Jingyong, NI Yuxing, YU Yunsong

Frontiers of Medicine 2007, Volume 1, Issue 4,   Pages 423-428 doi: 10.1007/s11684-007-0083-6

Abstract: This paper reported the epidemiology of the colistin-only-sensitive (COS-AB) in a tertiary teaching hospital

Keywords： identical     different     teaching hospital     genotype     colistin-only-sensitive    

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Data-driven approach to solve vertical drain under time-dependent loading

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 696-711 doi: 10.1007/s11709-021-0727-7

Abstract: Currently, the vertical drain consolidation problem is solved by numerous analytical solutions, such as time-dependentand DNN–GA prediction models with three different radial drainage patterns in the smear zone under time-dependent

Keywords： vertical drain     artificial neural network     time-dependent loading     deep learning network     genetic algorithm    

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Near-infrared benzodiazoles as small molecule environmentally-sensitive fluorophores

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 1,   Pages 128-135 doi: 10.1007/s11705-021-2080-8

Abstract: The development of fluorophores emitting in the near-infrared spectral window has gained increased attention given their suitable features for biological imaging. In this work, we have optimised a general and straightforward synthetic approach to prepare a small library of near-infrared-emitting C-bridged nitrobenzodiazoles using commercial precursors. C-bridged benzodiazoles have low molecular weight and neutral character as important features that are not common in most near-infrared dyes. We have investigated their fluorescence response in the presence of a wide array of 60 different biomolecules and identified compound 3i as a potential chemosensor to discriminate between Fe2+ and Fe3+ ions in aqueous media.

Keywords： fluorescence     probes     iron     screening     library    

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Joint entity–relation knowledge embedding via cost-sensitive learning Article

Sheng-kang YU, Xue-yi ZHAO, Xi LI, Zhong-fei ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1867-1873 doi: 10.1631/FITEE.1601255

Abstract: As a joint-optimization problem which simultaneously fulfills two different but correlated embedding tasks (i.e., entity embedding and relation embedding), knowledge embedding problem is solved in a joint embedding scheme. In this embedding scheme, we design a joint compatibility scoring function to quantitatively evaluate the relational facts with respect to entities and relations, and further incorporate the scoring function into the maxmargin structure learning process that explicitly learns the embedding vectors of entities and relations using the context information of the knowledge base. By optimizing the joint problem, our design is capable of effectively capturing the intrinsic topological structures in the learned embedding spaces. Experimental results demonstrate the effectiveness of our embedding scheme in characterizing the semantic correlations among different relation units, and in relation prediction for knowledge inference.

Keywords： Knowledge embedding     Joint embedding     Cost-sensitive learning    

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Fifty Years of Water Sensitive Urban Design, Salisbury, South Australia

John C. Radcliffe, Declan Page, Bruce Naumann, Peter Dillon

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 4, doi: 10.1007/s11783-017-0937-3

Abstract: Water sensitive urban design principles were adopted to maximise the use of the increased run-off generatedThis paper outlines how a municipal government has progressively adopted principles of Water Sensitivenon-potable water for public open space irrigation, much cheaper than mains water, AUD$3.45 m at that time

Keywords： Aquifer Recharge (MAR)     Stormwater harvesting     Water recycling drinking water     Low impact development     Water sensitive    

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Short-term prediction of the influent quantity time series of wastewater treatment plant based on a chaosneural network model

LI Xiaodong, ZENG Guangming, HUANG Guohe, LI Jianbing, JIANG Ru

Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 3,   Pages 334-338 doi: 10.1007/s11783-007-0057-6

Abstract: The nonlinear dynamic characteristic of WWTP influent quantity time series was analyzed, with the assumptionBased on this, a short-term forecasting chaos neural network model of WWTP influent quantity was built

Keywords： nonlinear     reconstruction     WWTP influent     characteristic     Reasonable forecasting    

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single-stranded DNA-reduced graphene oxide nanocomposites based electrochemical biosensor for highly sensitive

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 6,   Pages 1572-1582 doi: 10.1007/s11705-021-2112-4

Abstract: High density and uniform distribution of the gold nanoparticles functionalized single-stranded DNA modified reduced graphene oxide nanocomposites were obtained by non-covalent interaction. The positive gold nanoparticles prepared by phase inversion method exhibited good dimensional homogeneity and dispersibility, which could readily combine with single-stranded DNA modified reduced graphene oxide nanocomposites by electrostatic interactions. The modification of single-stranded DNA endowed the reduced graphene oxide with favorable biocompatibility and provided the preferable surface with negative charge for further assembling of gold nanoparticles to obtain gold nanoparticles/single-stranded DNA modified reduced graphene oxide nanocomposites with better conductivity, larger specific surface area, biocompatibility and electrocatalytic characteristics. The as-prepared nanocomposites were applied as substrates for the construction of cholesterol oxidase modified electrode and well realized the direct electron transfer between the enzyme and electrode. The modified gold nanoparticles could further catalyze the products of cholesterol oxidation catalyzed by cholesterol oxidase, which was beneficial to the enzyme-catalyzed reaction. The as-fabricated bioelectrode exhibited excellent electrocatalytic performance for the cholesterol with a linear range of 7.5‒280.5 μmol·L‒1, a low detection limit of 2.1 μmol·L‒1, good stability and reproducibility. Moreover, the electrochemical biosensor showed good selectivity and acceptable accuracy for the detection of cholesterol in human serum samples.

Keywords： reduced graphene oxide     gold nanoparticles     electrochemical biosensor     cholesterol oxidase     cholesterol    

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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

Development of Deterministic Networking Techniques for Industrial Manufacturing

Wang Shuo, Wang Jiasen, Cai Lei, Huang Tao, Lu Hua, Liu Yunjie

Journal Article

Negative weights in network time model

Zoltán A. VATTAI, Levente MÁLYUSZ

Journal Article

Understanding network travel time reliability with on-demand ride service data

Xiqun (Michael) CHEN, Xiaowei CHEN, Hongyu ZHENG, Chuqiao CHEN

Journal Article

Virtual network embedding based on real-time topological attributes

Jian DING,Tao HUANG,Jiang LIU,Yun-jie LIU

Journal Article

Real-time tool condition monitoring method based on temperature measurement and artificial neural network

Journal Article

Robust energy-efficient train speed profile optimization in a scenario-based position–time–speed network

Journal Article

Time-series prediction based on global fuzzy measure in social networks

Li-ming YANG,Wei ZHANG,Yun-fang CHEN

Journal Article

The molecular epidemiological study of colistin-only-sensitive strains in multi-drug resistant Acinetobacter

YANG Li, HAN Lizhong, SUN Jingyong, NI Yuxing, YU Yunsong

Journal Article

Data-driven approach to solve vertical drain under time-dependent loading

Journal Article

Near-infrared benzodiazoles as small molecule environmentally-sensitive fluorophores

Journal Article

Joint entity–relation knowledge embedding via cost-sensitive learning

Sheng-kang YU, Xue-yi ZHAO, Xi LI, Zhong-fei ZHANG

Journal Article

Fifty Years of Water Sensitive Urban Design, Salisbury, South Australia

John C. Radcliffe, Declan Page, Bruce Naumann, Peter Dillon

Journal Article

Short-term prediction of the influent quantity time series of wastewater treatment plant based on a chaosneural network model

LI Xiaodong, ZENG Guangming, HUANG Guohe, LI Jianbing, JIANG Ru

Journal Article

single-stranded DNA-reduced graphene oxide nanocomposites based electrochemical biosensor for highly sensitive

Journal Article