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Experimental hydrodynamic assessment of a cylindrical-type floating solar system exposed to waves

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Journal of Ocean Engineering and Science 2023年第4期8卷 461-473页

作者： Dallán Friel Madjid Karimirad Trevor Whittaker John Doran School of Natural and Built Environment Queen’s University BelfastStranmillis RdBelfastAntrimNorthern IrelandUK The Bryden Centre Letterkenny Institute of TechnologyPort RdLetterkenny Co.DonegalIreland

In this paper,an experimental investigation on the wave loads and structural motions of two semi-fixed semi-immersed horizontal cylinders type rafts in the free surface zone is *** physical mod-els are tested at the 1:4.5 scale and exposed to a range of regular and irregular waves in a wave flume at Queen’s University *** physical models and experimental setup are discussed alongside an in-vestigation of the hydrodynamic phenomena,surge forces,and dynamic responses that each structure ex-hibits in the coastal wave ***,an investigation into the wave attenuation by both mod-els is carried *** results show that the surge forces have a positive correlation with wave steepness for both *** phenomena such as wave runup and overtopping,radiative damping and reflected waves,constructive interference,diffraction and flow separation were identified during the ex-periments.A negative mean heave displacement is observed during the monochromatic sea states which could result in impact loading and submergence of the superstructure components and photovoltaic pan-els at *** results presented in this paper may be used to calibrate and verify numerical models that calculate the global responses and hydrodynamic *** may also benefit the design processes of geometrically similar floating solar technologies by providing data on surge loads,motion responses and hydrodynamic observations.

关键词： Floating photovoltaics Experimental analysis Motion capture system Floating solar

Recent Advances in Visible-Light-Driven Photoelectrochemical Water Splitting: Catalyst Nanostructures and Reaction Systems

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Nano-Micro Letters 2016年第1期8卷 1-12页

作者： Xiaoping Chen Zhixiang Zhang Lina Chi Aathira Krishnadas Nair Wenfeng Shangguan Zheng Jiang Research Center for Combustion and Environment Technology Shanghai Jiao Tong University Faculty of Engineering and the Environment University of Southampton School of Environmental Science and Technology Shanghai Jiao Tong University

Photoelectrochemical(PEC) water splitting using solar energy has attracted great attention for generation of renewable hydrogen with less carbon footprint, while there are enormous challenges that still remain for improving solar energy water splitting efficiency, due to limited light harvesting, energy loss associated to fast recombination of photogenerated charge carriers, as well as electrode degradation. This overview focuses on the recent development about catalyst nanomaterials and nanostructures in different PEC water splitting systems. As photoanode, Au nanoparticle-decorated TiO_2 nanowire electrodes exhibited enhanced photoactivity in both the UV and the visible regions due to surface plasmon resonance of Au and showed the largest photocurrent generation of up to 710 nm. Pt/Cd S/CGSe electrodes were developed as photocathode. With the role of p–n heterojunction, the photoelectrode showed high stability and evolved hydrogen continuously for more than 10 days. Further, in the Z-scheme system(Bi_2S_3/TNA as photoanode and Pt/Si PVC as photocathode at the same time), a self-bias(open-circuit voltage Voc= 0.766 V) was formed between two photoelectrodes, which could facilitate photogenerated charge transfers and enhance the photoelectrochemical performance, and which might provide new hints for PEC water splitting. Meanwhile, the existing problems and prospective solutions have also been reviewed.

关键词： Photoelectrochemical water splitting Nanostructures Reaction system Heterojuction Hybrid systems

A multi-layered policy generation and management engine for semantic policy mapping in clouds

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Digital Communications and Networks 2020年第1期6卷 38-50页

作者： Faraz Fatemi Moghaddam Philipp Wieder Ramin Yahyapour Gesellschaft für wissenschaftliche Datenverarbeitung mbH Gottingen(GWDG) Germany Institute of Informatics Georg-August-UniversitatGottingenGermany

The long awaited cloud computing concept is a reality now due to the transformation of computer ***,security challenges have become the biggest obstacles for the advancement of this emerging technology.A well-established policy framework is defined in this paper to generate security policies which are compliant to requirements and ***,a federated policy management schema is introduced based on the policy definition framework and a multi-level policy application to create and manage virtual clusters with identical or common security *** proposed model consists in the design of a well-established ontology according to security mechanisms,a procedure which classifies nodes with common policies into virtual clusters,a policy engine to enhance the process of mapping requests to a specific node as well as an associated cluster and matchmaker engine to eliminate inessential mapping *** suggested model has been evaluated according to performance and security parameters to prove the efficiency and reliability of this multilayered engine in cloud computing environments during policy definition,application and mapping procedures.

关键词： Cloud computing Security Security management Policy management Access control Policy mapping

Differentiation of Fungal Destructive Behaviour of Wood by the White-Rot Fungus Fomes fomentarius by MALDI-TOF Mass Spectrometry

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Journal of Renewable Materials 2021年第3期9卷 381-397页

作者： Ehsan Bari Antonio Pizzi Olaf Schmidt Siham Amirou Mohammad Ali Tajick-Ghanbary Miha Humar Department of Wood Sciences and Engineering Technical Faculty of No.1Mazandaran BranchTechnical and Vocational University(TVU)SariIran Department of Industrial Chemistry ENSTIB-LERMABUniversity of LorraineEpinalFrance Department of Wood Biology University of HamburgHamburgGermany Department of Mycology and Plant Pathology College of Agronomic SciencesAgricultural and Natural Resources UniversitySariIran Department of Wood Science and Technology Biotechnical FacultyUniversity of LjubljanaLjubljanaSlovenia

There are many methods to identify and recognize the molecular and behavioural differences between *** of the methods for the detection and identification of unknown organisms as well as intermolecular and intramolecular structural differences is MALDI-TOF mass ***,differentiation of Fomes fomentarius decay capabilities on the chemical properties of the wood cell wall of the tree species Quercus castaneifolia,Juglans regia,and Carpinus betulus were used to determine and characterize the destructive behaviour of *** decay by MALDI-TOF mass *** results showed that the fungus had more significant destructive behaviour on *** than the other *** this evidence,completely removal of xylan hemicellulose fragment+Na+at peak 1227 Da and severe digestion of fragment of glucomannan hemicellulose at peak 1477–1480 Da that it seems that signs of soft-rot patterns were obtained from the decayed sample of ***,while these were incremental and unchanged for *** and ***,***,*** had different peaks of atomic mass than *** and *** wood,*** results showed that this technique could be useful for separating and identifying unknown compounds of the wood cell wall attacked by fungi relying on their biological behaviour.

关键词： White-rot Fomes fomentarius MALDI-TOF fungal destructive behaviours

Building an interoperable space for smart agriculture

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Digital Communications and Networks 2023年第1期9卷 183-193页

作者： Ioanna Roussaki Kevin Doolin Antonio Skarmeta George Routis Juan Antonio Lopez-Morales Ethel Claffey Manuel Mora Juan Antonio Martinez Institute of Communications and Computer Systems AthensGreece Walton Institute WaterfordIreland Department of Information and Communications Engineering University of MurciaMurciaSpain School of Business Waterford Institute of TechnologyWaterfordIreland R&D Department Odin SolutionsMurciaSpain

The digital transformation in agriculture introduces new challenges in terms of data,knowledge and technology adoption due to critical interoperability issues,and also challenges regarding the identification of the most suitable data sources to be exploited and the information models that must be ***(Building an Interoperable,Data-Driven,Innovative and Sustainable european Agri-Food Sector)addresses these challenges by providing an overarching solution that integrates various heterogeneous hardware and software resources(e.g.,devices,networks,platforms)and enables the seamless sharing of data and knowledge throughout the agri-food *** paper introduces the main concepts of DEMETER and its reference architecture to address the data sharing and interoperability needs of farmers,which is validated via two rounds of 20 large-scale pilots along the DEMETER *** paper elaborates on the two pilots carried out in region of Murcia in Spain,which target the arable crops sector and demonstrate the benefits of the deployed DEMETER reference architecture.

关键词： Smart agriculture Internet of things(IoT) DEMETER Reference architecture Interoperability Agricultural information model(AIM) Pilot validation

Satellite Integration into 5G:Deep Reinforcement Learning for Network Selection

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Machine Intelligence Research 2022年第2期19卷 127-137页

作者： Emanuele De Santis Alessandro Giuseppi Antonio Pietrabissa Michael Capponi Francesco Delli Priscoli Department of Computer Control and Management Engineering“Antonio Ruberti”University of Rome La SapienzaRome 00185Italy

This paper proposes a deep-Q-network(DQN) controller for network selection and adaptive resource allocation in heterogeneous networks, developed on the ground of a Markov decision process(MDP) model of the problem. Network selection is an enabling technology for multi-connectivity, one of the core functionalities of 5G. For this reason, the present work considers a realistic network model that takes into account path-loss models and intra-RAT(radio access technology) interference. Numerical simulations validate the proposed approach and show the improvements achieved in terms of connection acceptance, resource allocation, and load *** particular, the DQN algorithm has been tested against classic reinforcement learning one and other baseline approaches.

关键词： Network selection HetNet deep reinforcement learning deep-Q-network(DQN) 5G communications

Artificial neural network aided real-time simulation of electric traction system

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Energy and AI 2020年第1期1卷 105-116页

作者： Hao Bai Chen Liu Elena Breaz Fei Gao FEMTO-ST Institute Universite Bourgogne Franche-ComteUTBMCNRSRue Ernest Thierry MiegF-90010 BelfortFrance FCLAB Universite Bourgogne Franche-ComteUTBMCNRSRue Ernest Thierry MiegF-90010 BelfortFrance School of Electrical Engineering Zhengzhou University450001 ZhengzhouChina Technical University of Cluj-Napoca 400604 Cluj-NapocaRomania

Real-time simulation-based validation plays an essential role in the early stage development of electric traction *** high-fidelity real-time simulation relies on the accurate modeling of the power electronics and motors and usually represents the nonlinear characteristics as many as possible while obeying the computing time *** this paper,an artificial neural network(ANN)aided modeling approach is proposed for the field-programmable gate array(FPGA)-based real-time simulation to deal with the nonlinearities in permanent magnet synchronous motor(PMSM)and its *** the help of the ANN,the switches power losses,and the PMSM nonlinear flux linkage and electromagnetic torque can be *** electro-thermal model of inverters and the finite element analysis(FEA)-based PMSM model are thus enabled in the FPGA-based real-time simulation,which can significantly improve the performances of the real-time simulation-based test bench.A two-level inverter fed PMSM drive system is modeled using the ANN-aided modeling approach and simulated in the National Instrument PXIe FlexRIO FPGA real-time *** accuracy and effectiveness of the proposed approaches are tested and validated by comparing the results with the offline simulation tools.

关键词： Real-time system Artificial neural network Permanent magnet synchronous motor (PMSM) Power losses Field-programmable gate array(FPGA)

An Open Platform for Processing IFC Model Versions

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Tsinghua Science and Technology 2008年第S1期13卷 126-131页

作者： Mohamed Nour Karl Beucke Informatik im Bauwesen Bauhaus-University Weimar

The IFC initiative from the International Alliance of Interoperability has been developing since the mid-nineties through several versions. This paper addresses the problem of binding the growing number of IFC versions and their EXPRESS definitions to programming environments (Java and .NET). The solution developed in this paper automates the process of generating early binding classes, whenever a new version of the IFC model is released. Furthermore, a runtime instantiation of the generated early binding classes takes place by importing IFC-STEP ISO 10303-P21 models. The user can navigate the IFC STEP model with relevance to the defining EXPRESS-schema, modify, delete, and create new instances. These functionalities are considered to be a basis for any IFC based implementation. It enables researchers to experiment the IFC model independently from any software application.

关键词： IFC EXPRESS STEP, bindings .NET Java

The Statistical Power of Inclusive Composite Interval Mapping in Detecting Digenic Epistasis Showing Common F_2 Segregation Ratios

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Journal of Integrative Plant Biology 2012年第4期54卷 270-279页

作者： Luyan Zhang Huihui Li Jiankang Wang Institute of Crop Sciences The National Key Facility for Crop Gene Resources and Genetic Improvementand CIMMYT ChinaChinese Academy of Agricultural SciencesBeijing 100081China

Epistasis is a commonly observed genetic phenomenon and an important source of variation of complex traits, which could maintain additive variance and therefore assure the long-term genetic gain in breeding. Inclusive composite interval mapping （ICIM） is able to identify epistatic quantitative trait loci （QTLs） no matter whether the two interacting QTLs have any additive effects. In this article, we conducted a simulation study to evaluate detection power and false discovery rate （FDR） of ICIM epistatic mapping, by considering F2 and doubled haploid （DH） populations, different F2 segregation ratios and population sizes. Results indicated that estimations of QTL locations and effects were unbiased, and the detection power of epistatic mapping was largely affected by population size, heritability of epistasis, and the amount and distribution of genetic effects. When the same likelihood of odd （LOD） threshold was used, detection power of QTL was higher in F2 population than power in DH population; meanwhile FDR in F2 was also higher than that in DH. The increase of marker density from 10 cM to 5 cM led to similar detection power but higher FDR. In simulated populations, ICIM achieved better mapping results than multiple interval mapping （MIM） in estimation of QTL positions and effect. At the end, we gave epistatic mapping results of ICIM in one actual population in rice （Oryza sativa L.）.

关键词： Epistasis false discovery rate inclusive composite interval mapping power analysis simulation study.