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作者： Li, Yang Gao, Song Shi, Wenhui He, Guoqing Wang, ZhengPing Department of Application Technology Research for Distributed Renewable Energy and Storage Systems State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing100192 China Development Department State Grid Cangzhou Power Supply Company China

Micro-grid which connects with the main grid can operate under the grid-connected mode or the islands mode. During the switching process between the two operation modes, if the control strategy is not complete, there will be problems such as the AC bus voltage oscillation and current surge, which will result in the switchover failure. An improved energy storage inverter control method based on operation states tracking is adopted for the optical storage micro-grid using master-slave control, which solves the problem of control variables mutation. Secondly, an improved software phase-locked method based on grid phase state tracking is proposed in an energy storage inverter. The problem of instantaneous mutation of the phase angle is solved by cooperating with the micro-grid operation state control signal during operation mode changes. Through the improvement of the two control strategies above, the transient shock phenomena of the micro-grid voltage and current during the switching process is obviously improved, and the harmonic content of the AC voltage and current is obviously reduced. Finally, a detailed model of optical storage micro-grid is established in MATLAB/Simulink, and the correctness and practicability of the improved control strategy are verified by simulation. © 2019 Institution of Engineering and *** right reserved.

关键词： MATLAB

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Randomised benchmarking for characterizing and forecasting correlated processes

arXiv

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arXiv 2023年

作者： Zhang, Xinfang Wu, Zhihao White, Gregory A.L. Xiang, Zhongcheng Hu, Shun Peng, Zhihui Liu, Yong Zheng, Dongning Fu, Xiang Huang, Anqi Poletti, Dario Modi, Kavan Wu, Junjie Deng, Mingtang Guo, Chu Institute for Quantum Information State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha410073 China School of Physics and Astronomy Monash University VIC3800 Australia Dahlem Center for Complex Quantum Systems Freie Universität Berlin Berlin14195 Germany Institute of Physics Chinese Academy of Sciences Beijing100190 China Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Department of Physics Synergetic Innovation Center for Quantum Effects and Applications Hunan Normal University Changsha410081 China Science Mathematics and Technology Cluster and Engineering Product Development Pillar Singapore University of Technology and Design 8 Somapah Road 487372 Singapore Centre for Quantum Technologies National University of Singapore 117543 Singapore MajuLab CNRS-UNS-NUS-NTU International Joint Research Unit UMI 3654 Singapore Quantum for NSW Sydney2000 Australia

The development of fault-tolerant quantum processors relies on the ability to control noise. A particularly insidious form of noise is temporally correlated or non-Markovian noise. By combining randomized benchmarking with supervised machine learning algorithms, we develop a method to learn the details of temporally correlated noise. In particular, we can learn the time-independent evolution operator of system plus bath and this leads to (i) the ability to characterize the degree of non-Markovianity of the dynamics and (ii) the ability to predict the dynamics of the system even beyond the times we have used to train our model. We exemplify this by implementing our method on a superconducting quantum processor. Our experimental results show a drastic change between the Markovian and non-Markovian regimes for the learning accuracies. Copyright © 2023, The Authors. All rights reserved.

关键词： Benchmarking

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Fungal diversity notes 1611-1716: taxonomic and phylogenetic contributions on fungal genera and species emphasis in south China

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Fungal Diversity 2023年第5期122卷 161-403页

作者： Indunil C.Senanayake Walter Rossi Marco Leonardi Alex Weir Mark McHugh Kunhiraman C.Rajeshkumar Rajnish K.Verma Samantha C.Karunarathna Saowaluck Tibpromma Nikhil Ashtekar Sreejith K.Ashtamoorthy Sanjay Raveendran Gurmeet Kour Aishwarya Singh Saúl De la Peña-Lastra Antonio Mateos Miroslav Kolařík Vladimír Antonín HanaŠevčíková Fernando Esteve-Raventós Ellen Larsson Fermín Pancorbo Gabriel Moreno Alberto Altés Yolanda Turégano Tian-Ye Du Li Lu Qi-Rui Li Ji-Chuan Kang Sugantha Gunaseelan Kezhocuyi Kezo Malarvizhi Kaliyaperumal Jizhen Fu Milan C.Samarakoon Yusufjon Gafforov Shakhnoza Teshaboeva Pradeep C.Kunjan Arya Chamaparambath Adam Flakus Javier Etayo Pamela Rodriguez-Flakus Mikhail P.Zhurbenko Nimali Ide Silva Danushka S.Tennakoon KPDeepna Latha Patinjareveettil Manimohan KNAnil Raj Mark S.Calabon Abdollah Ahmadpour Zeinab Heidarian Zahra Alavi Fatemeh Alavi Youbert Ghosta Razmig Azizi Mei Luo Min-Ping Zhao Nuwan D.Kularathnage Li Hua Yun-Hui Yang Chun-Fang Liao Hai-Jun Zhao Anis S.Lestari Subashini C.Jayasiri Feng-Ming Yu Lei Lei Jian-Wei Liu Omid Karimi Song-Ming Tang Ya-Ru Sun Yong Wang Ming Zeng Zin H.Htet Benedetto T.Linaldeddu Artur Alves Alan J.L.Phillips Carlo Bregant Lucio Montecchio AndréDe Kesel Vincent P.Hustad Andrew N.Miller Anna G.Fedosova Viktor Kučera Mubashar Raza Muzammil Hussain Yan-Peng Chen Vinodhini Thiyagaraja Deecksha Gomdola Achala R.Rathnayaka Asha J.Dissanayake Nakarin Suwannarach Sinang Hongsanan Sajeewa S.N.Maharachchikumbura Lakmali S.Dissanayake Nalin N.Wijayawardene Rungtiwa Phookamsak Saisamorn Lumyong E.B.Gareth Jones Neelamanie Yapa Dhanushka N.Wanasinghe Ning Xie Mingkwan Doilom Ishara S.Manawasinghe Jian-Kui(Jack)Liu Qi Zhao Biao Xu Kevin D.Hyde Jiage Song Innovative Institute for Plant Health/Key Laboratory of Green Prevention and Control On Fruits and Vegetables in South China Ministry of Agriculture and Rural AffairsZhongkai University of Agriculture and EngineeringHaizhu DistrictGuangzhou 510225GuangdongChina Center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand Guangdong Provincial Key Laboratory for Plant Epigenetics College of Life Science and OceanographyShenzhen University3688Nanhai AvenueNanshanShenzhen 518055GuangdongChina Sect.Environmental Sciences Department MeSVAUniversity of L’AquilaVia Vetoio67100 CoppitoAQItaly Department of Environmental Biology SUNY-ESF241 Illick Hall1 Forestry DriveSyracuseNY 13210USA National Fungal Culture Collection of India MACS Agharkar Research InstitutePuneMaharashtra 411004India Department of Plant Pathology Punjab Agricultural UniversityLudhianaPunjab 141004India Center for Yunnan Plateau Biological Resources Protection and Utilization College of Biological Resource and Food EngineeringQujing Normal UniversityQujing 655011YunnanChina Department of Forest Ecology Kerala Forest Research InstitutePeechiThrissurKerala 680653India Department of Botany The American CollegeTallakkulamMaduraiTamil Nadu 625002India Department of Zoology Savitribai Phule Pune UniversityGaneshkhind RdGaneshkhindPuneMaharashtra 411007India University of Santiago de Compostela 15782 Santiago de CompostelaSpain Sociedad Micológica Extremeña C/Sagitario 1410001 CáceresSpain Institute of Microbiology of the Czech Academy of Sciences Vídeňská108314220 Prague 4Czech Republic Department of Botany Moravian MuseumZelnýtrh 665937 BrnoCzech Republic Department of Life Sciences(Botany Unit) University of Alcalá28805 Alcaláde HenaresMadridSpain Biological and Enviromental Sciences University of Gothemburgand Gothemburg Global Biodiversity CentreBox 46140530 GöteborgSweden Madrid Mycological Society Real Jardín BotánicoC/Claudio Moyano 128014 MadridSpain State Ke

This article is the 15th contribution in the Fungal Diversity Notes series,wherein 115 taxa from three phyla,nine classes,28 orders,48 families,and 64 genera are *** taxa described and illustrated in the present study include a new family,five new genera,61 new species,five new combinations,one synonym,one new variety and 31 records on new hosts or new geographical *** *** introduced and accommodated in *** new genera introduced in this study are Ageratinicola,Kevinia,Pseudomultiseptospora(Parabambusicolaceae),Marasmiellomycena,and Vizzinia(Porotheleaceae).Newly described species are Abrothallus altoandinus,Ageratinicola kunmingensis,Allocryptovalsa aceris,Allophoma yuccae,Apiospora cannae,***,***,Boeremia wisteriae,Calycina papaeana,Clypeo-coccum lichenostigmoides,Coniochaeta riskali-shoyakubovii,Cryphonectria kunmingensis,Diaporthe angustiapiculata,***,***,Diatrypella guangdongense,Dothiorella franceschinii,Endocalyx phoenicis,Epicoc-cum terminosporum,Fulvifomes karaiensis,***,Ganoderma ghatensis,Hysterobrevium baoshanense,Inocybe avellaneorosea,***,Jahnula oblonga,Kevinia lignicola,Kirschsteiniothelia guangdongensis,Laboulbenia caprina,***,***,***,***,***,***,***,***,Laccaria rubriporus,Lasiodiplodia morindae,Lyophyllum agnijum,Marasmiellomycena pseudoomphaliiformis,Melomastia beihaiensis,Nemania guangdongensis,Nigrograna thailandica,Nigrospora ficuum,Oxydothis chinensis,***,Petriella thailandica,Phaeoacremonium chinensis,Phialocephala chinensis,Phytophthora debattistii,Polyplosphaeria nigrospora,Pronectria loweniae,Seriascoma acutispora,Setoseptoria bambusae,Stictis anomianthi,Tarzetta tibetensis,Tarzetta urceolata,Tetraploa obpyriformis,Trichoglossum beninense,and Tricoderma *** provide an emendation for Urnula ailaoshanensis Agaricus duplocingulatoides *** i

关键词： Agaricomycetes Ascomycota Basidiomycota Dothideomycetes Eurotiomycetes Fungal diversity Geoglossomycetes Geographical distribution Host records Incertae sedis Laboulbeniomycetes Lecanoromycetes Leotiomycetes Novel taxa New combination Oomycota Peronosporea Pezizomycetes Phylogeny Sordariomycetes South Chinese fungi Taxonomy

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Classes and phyla of the kingdom Fungi

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Fungal Diversity 2024年第5期124卷 1-165页

作者： Nalin N.Wijayawardene Kevin D.Hyde Kirill V.Mikhailov Gabor Peter Andre Aptroot Carmen L.A.Pires‑Zottarelli Bruno T.Goto Yuri S.Tokarev Danny Haelewaters Samantha C.Karunarathna Paul M.Kirk Andre L.C.M.de A.Santiago Ramesh K.Saxena Nathan Schoutteten Madhara K.Wimalasena Vladimir V.Aleoshin Abdullah M.S.Al‑Hatmi Kahandawa G.S.U.Ariyawansa Amanda R.Assuncao Thushara C.Bamunuarachchige Hans‑Otto Baral D.Jayarama Bhat Janusz Błaszkowski Teun Boekhout Nattawut Boonyuen Michael Brysch‑Herzberg Bin Cao Jonathan Cazabonne Xue‑Mei Chen Claudia Coleine Dong‑Qin Dai Heide‑Marie Daniel Suzana B.G.da Silva Francisco Adriano de Souza Somayeh Dolatabadi Manish K.Dubey Arun K.Dutta Aseni Ediriweera Eleonora Egidi Mostafa S.Elshahed Xinlei Fan Juliana R.B.Felix Mahesh C.A.Galappaththi Marizeth Groenewald Li‑Su Han Bo Huang Vedprakash G.Hurdeal Anastasia N.Ignatieva Gustavo H.Jeronimo Ana L.de Jesus Serhii Kondratyuk Jaturong Kumla Martin Kukwa Qirui Li Juliana L.R.Lima Xiao‑Yong Liu Wenhua Lu H.Thorsten Lumbsch Hugo Madrid Franco Magurno Guy Marson Eric H.C.McKenzie Audrius Menkis Armin Mešić Elaine C.R.Nascimento Elena S.Nassonova Yong Nie Naasson V.L.Oliveira Emilia A.Ossowska Julia Pawłowska Ursula Peintner Igor R.Pozdnyakov Bhagya M.Premarathne A.K.Hasith Priyashantha C.Alisha Quandt Mariana B.Queiroz Kunhiraman C.Rajeshkumar Mubashar Raza Niranjan Roy Milan C.Samarakoon Alessandra A.Santos Lidiane A.Santos Felix Schumm Laura Selbmann Faruk Selcuk D.Rabern Simmons Anastasia V.Simakova Maudy Th.Smith Onden Paraparath Sruthi Nakarin Suwannarach Kazuaki Tanaka Saowaluck Tibpromma Elias O.Tomas Merve Ulukapı Nicolas Van Vooren Dhanushka N.Wanasinghe Evi Weber Qianzhen Wu Er Fu Yang Ryuichi Yoshioka Noha H.Youssef Annemarie Zandijk Gui‑Qing Zhang Jin‑Yong Zhang Heng Zhao RuiLin Zhao Oleg A.Zverkov Marco Thines Sergey A.Karpov Center for Yunnan Plateau Biological Resources Protection and Utilization College of Biological Resource and Food EngineeringQujing Normal UniversityQujing 655011YunnanPeople’s Republic of China Tropical Microbiology Research Foundation 96/N/10Meemanagoda RoadPannipitiya 10230Sri Lanka Department of Bioprocess Technology Faculty of TechnologyRajarata UniversityMihintaleSri Lanka Center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand School of Science Mae Fah Luang UniversityChiangRai 57100Thailand Innovative Institutefor Plant Health Zhongkai University of Agriculture and EngineeringGuangzhou 510225People’s Republic of China CAS Key Laboratory for Plant Biodiversity and Biogeography of East Asia(KLPB) Kunming Institute of BotanyChinese Academy of ScienceKunmingYunnanChina Belozersky Institute of Physicochemical Biology Lomonosov Moscow State UniversityLeninskye Gory1Build.40Moscow 119991Russian Federation Kharkevich Institute for Information Transmission Problems Russian Academy of SciencesMoscow 127051Russian Federation National Collection of Agricultural and Industrial Microorganisms Institute of Food Science and TechnologyHungarian University of Agriculture and Life SciencesSomlóiút 14‑161118 BudapestHungary Instituto de Biociências Universidade Federal de Mato Grosso do SulAvenida Costa e Silvas/n Bairro UniversitárioCampo GrandeMS CEP 79070‑900Brazil Instituto de Pesquisas Ambientais Secretaria do Meio AmbienteInfraestrutura e LogísticaAv.Miguel Stéfano 3687São PauloSP CEP 04301‑902Brazil Departamento de Botânica e Zoologia Universidade Federal do Rio Grande do NorteCampus UniversitárioNatalRN 59078-900Brazil All-Russian Institute of Plant Protection Sh.Podbelskogo 3PushkinSt.Petersburg 196608Russia Research Group Mycology Department of BiologyGhent University9000 GhentBelgium Faculty of Science University of South Bohemia37005ČeskéBudějoviceCzech Republic Department of Ecology and Evolutionary Biology University of Colora

Fungi are one of the most diverse groups of organisms with an estimated number of species in the range of 2–3 *** higher-level ranking of fungi has been discussed in the framework of molecular phylogenetics since Hibbett et al.,and the definition and the higher ranks(e.g.,phyla)of the‘true fungi’have been revised in several subsequent *** accumulation of novel genomic data and the advancements in phylogenetics now facilitate a robust and precise foundation for the higher-level classification within the *** study provides an updated classification of the kingdom Fungi,drawing upon a comprehensive phylogenomic analysis of Holomycota,with which we outline well-supported nodes of the fungal tree and explore more contentious *** accept 19 phyla of Fungi,***,Ascomycota,Basidiobolomycota,Basidiomycota,Blastocladiomycota,Calcarisporiellomycota,Chytridiomycota,Entomophthoromycota,Entorrhizomycota,Glomeromycota,Kickxellomycota,Monoblepharomycota,Mortierellomycota,Mucoromycota,Neocallimastigomycota,Olpidiomycota,Rozellomycota,Sanchytriomycota,and *** the phylogenies,Caulochytriomycota resides in Chytridiomycota;thus,the former is regarded as a synonym of the latter,while Caulochytriomycetes is viewed as a class in *** provide a description of each phylum followed by its classes.A new subphylum,Sanchytriomycotina Karpov is introduced as the only subphylum in *** subclass Pneumocystomycetidae Kirk et *** Pneumocystomycetes,Ascomycota is invalid and thus *** of fossil fungi in phyla and classes are also discussed,providing examples.

关键词： Caulochytriomycota Phylogenomic analyses Pneumocystomycetidae Sanchytriomycotina

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Impacts of Temperature and Humidity variations on RSSI in indoor Wireless Sensor Networks

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Procedia Computer Science 2018年 126卷 1072-1081页

作者： Amir Guidara Ghofrane Fersi Faouzi Derbel Maher Ben Jemaa Faculty of Electrical Engineering and Information Technology Leipzig University of Applied Sciences Germany Research on Development and Control of Distributed Applications ReDCAD National Engineering School of Sfax University of Sfax Tunisia

Many Wireless Sensor Networks (WSN) protocols such as lot of localization protocols rely on the accuracy of the Received Signal Strength Indicator (RSSI). This RSSI metric is sensitive to different factors which lead to its disturbance. Other works have already proved that temperature and humidity have important impact on RSSI in outdoor environment. It is evident that temperature and humidity vary more importantly on outdoor than on indoor. In this paper, we aim to answer at this question: Does the slight modification of temperature and humidity in indoor environment have a significant impact on RSSI value? We have conducted various experiments to study this impact.

关键词： RSSI Temperature Humidity LQI Indoor WSN

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Personalized gesture interactions for cyber-physical smart-home environments

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Science China(Information Sciences) 2017年第7期60卷 144-158页

作者： Yihua LOU Wenjun WU Radu-Daniel VATAVU Wei-Tek TSAI State Key Laboratory of Software Development Environment Beihang University Mint Viz Research Lab Integrated Center for Research Developmentand Innovation in Advanced MaterialsNanotechnologies and Distributed Systems for Fabrication and Control (MANSiD) & Department of Computer Science University Stefan cel Mare of Suceava

A gesture-based interaction system for smart homes is a part of a complex cyber-physical environment, for which researchers and developers need to address major challenges in providing personalized gesture interactions. However, current research efforts have not tackled the problem of personalized gesture recognition that often involves user identification. To address this problem, we propose in this work a new event-driven service-oriented framework called gesture services for cyber-physical environments(GS-CPE) that extends the architecture of our previous work gesture profile for web services(GPWS). To provide user identification functionality, GS-CPE introduces a two-phase cascading gesture password recognition algorithm for gesture-based user identification using a two-phase cascading classifier with the hidden Markov model and the Golden Section Search, which achieves an accuracy rate of 96.2% with a small training dataset. To support personalized gesture interaction, an enhanced version of the Dynamic Time Warping algorithm with multiple gestural input sources and dynamic template adaptation support is implemented. Our experimental results demonstrate the performance of the algorithm can achieve an average accuracy rate of 98.5% in practical scenarios. Comparison results reveal that GS-CPE has faster response time and higher accuracy rate than other gesture interaction systems designed for smart-home environments.

关键词： gesture interaction personalization gesture recognition user identification event-driven architec ture

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A Low-Complexity Scheduling for Joint Unicast and Multicast Transmissions in LTE-A Network

A Low-Complexity Scheduling for Joint Unicast and Multicast ...

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International Wireless Communications and Mobile Computing Conference, IWCMC

作者： Abdennaceur GHANDRI Yassine BOUJELBEN Maher BEN JEMAA Laboratory on Development and Control of Distributed Applications (ReDCAD) University of Sfax Tunisia NTS’COM Research Unit ENET’COM University of Sfax Tunisia National School of Engineers of Sfax Tunisia University of Sfax Tunisia

LTE broadcast is an emerging 4G technology that allows the transmission of the same content, typically MBMS streams, to multiple users located in one or many cells belonging to a common area called Multicast Broadcast Single-Frequency Network (MBSFN) area. This promising transmission technique allows significant bandwidth saving but faces many challenges in the joint management of unicast and multicast/broadcast transmissions, especially with the evolved MBMS (eMBMS) that allows unicast reception in the MBSFN subframes. In a recent work, an algorithm based on finding the best multicast users' grouping with respect to their channel conditions, and making resource allocations for unicast users and multicast subgroups according to a predefined fairness function has efficiently solved the problem. However, the allocation for both unicast and multicast connections was made in terms of resource blocks (RB), which does not comply with 3GPP standards. In this paper, we propose a compliant standard version of this algorithm, which considers subframes as a scheduling granularity. Our proposition significantly reduces the computation complexity from O(M 4 ) to O(M) and overcomes the drawbacks of the initial algorithm, which is clearly shown in the numerical results of our enhanced version, especially in terms of time complexity and total data rate received by all users, while keeping a comparable performance in terms of system utility.

关键词： Unicast Resource management Dynamic scheduling 3GPP Standards Downlink Electronic mail Processor scheduling

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Toward a mixed visible light communications and ranging system for automotive applications

Toward a mixed visible light communications and ranging syst...

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International Symposium on Electrical and Electronics Engineering (ISEEE)

作者： Cătălin Beguni Sebastian-Andrei Avătămăniţei Alin-Mihai Căilcan Eduard Zadobrischi Mihai Dimian Hongyu Guan Luc Chassagne Stefan cel Mare University of Suceava Suceava Romania Integrated Center for research development and innovation in Advanced Materials Nanotechnologies and Distributed Systems for fabrication and control Stefan cel Mare University of Suceava Suceava Romania Technical University of Cluj-Napoca Cluj-Napoca Romania Laboratory of Systems Engineering Versailles University of Paris-Saclay University of Versailles St.-Quentin-en-Yvelines Vélizy France

ISBN: (数字)9781728129068

ISBN: (纸本)9781728129075

Optical Wireless Communications are emerging as promising alternative to radiofrequency and microwave communications in order to respond to the increasing demand for data transfer and to the expanding area of wireless applications. In this context, this paper provides a short overview of OWC technologies and focuses on their usage in automotive applications. Thus, vehicular Visible Light Communications and Visible Light Ranging systems recently developed by our research groups are presented in order to set the path toward designing a mixed visible light communications and ranging system for automotive applications based on standard car lighting system.

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A model based approach to combine load and functional tests for service oriented architectures 10

A model based approach to combine load and functional tests ...

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10th Workshop on Verification and Evaluation of Computer and Communication System, VECoS 2016

作者： Maalej, Afef Jmal Krichen, Moez Research Laboratory of Development and Control of Distributed Applications National School of Engineers of Sfax University of Sfax SfaxBP 1173 Tunisia

We propose a new model-based framework to combine functional and load tests for service oriented architectures. The new framework is based on the model of extended timed automata with inputs/ ouputs and shared integer variables. A test generation algorithm to produce analog-clock tests is proposed. To illustrate our approach, we report on a case study from the field of load balancing based architectures for BPEL compositions.

关键词： Testing

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News & information: Report on the 2015 international conference on inertial sensors and systems

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IEEE Aerospace and Electronic Systems Magazine 2016年第5期31卷 48-49页

作者： Gert F. Trommer Research laboratory on Development and Control of Distributed Applications (ReDCAD) ENIS Sfax Tunisia

For the 9th time the international conference “Inertial Sensors and Systems” took place in Karlsruhe, Germany, organized by the Institute of Systems Optimization (ITE) together with the German Institute of Navigation (DGON), cosponsored by the Royal Institute of Navigation (RIN) and by the IEEE Aerospace and Electronic Systems Society (AESS).

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