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OTFS Enabled NOMA for MMTC Systems over LEO Satellite

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ZTE Communications 2021年第4期19卷 63-70页

作者： MA Yiyan MA Guoyu WANG Ning ZHONG Zhangdui AI Bo Beijing Jiaotong University Beijing 100044China Zhengzhou University Zhengzhou 450001China Peng Cheng Laboratory Shenzhen 518000China

As a complement of terrestrial networks,non-terrestrial networks(NTN)have ad⁃vantages of wide-area coverage and service *** NTN is potential to play an impor⁃tant role in the 5G new radio(NR)and *** enable the massive machine type communi⁃cations(mMTC),the low earth orbit(LEO)satellite is preferred due to its lower transmission delay and path ***,the LEO satellite may generate notable Doppler shifts to de⁃grade the system ***,orthogonal time frequency space(OTFS)modulation has been *** provides the opportunity to allocate delay Doppler(DD)domain resourc⁃es,which is promising for mitigating the effect of high ***,as the LEO satellite constellation systems such as Starlink are thriving,the space spectrum resources have become increasingly ***,non-orthogonal multiple access(NOMA)is considered as a candidate technology to realize mMTC with limited spectrum *** this paper,the ap⁃plication of OTFS enabled NOMA for mMTC over the LEO satellite is *** LEO satellite based mMTC system and the OTFS-NOMA schemes are ***,the challenges of applying OTFS and NOMA into LEO satellite mMTC systems are ***⁃nally,the potential technologies for the systems are investigated.

关键词： mMTC LEO satellite OTFS NOMA

Information metasurfaces and intelligent metasurfaces

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Photonics Insights 2022年第1期1卷 2-29页

作者： Qian Ma Che Liu Qiang Xiao Ze Gu Xinxin Gao Lianlin Li Tie Jun Cui state key Laboratory of Millimeter Waves Southeast UniversityNanjingChina Institute of Electromagnetic Space Southeast UniversityNanjingChina state key Laboratory of Advanced Optical Communication Systems and Networks Department of ElectronicsPeking UniversityBeijingChina

Metamaterials and metasurfaces have inspired worldwide interest in the recent two decades due to their extraordinary performance in controlling material parameters and electromagnetic ***,most studies on metamaterials and metasurfaces are focused on manipulations of electromagnetic fields and waves,because of their analog *** concepts of digital coding and programmable metasurfaces proposed in 2014 have opened a new perspective to characterize and design metasurfaces in a digital way,and made it possible to control electromagnetic fields/waves and process digital information simultaneously,yielding the birth of a new direction of information *** the other hand,artificial intelligence(AI)has become more important in automatic designs of *** this review paper,we first show the intrinsic natures and advantages of information metasurfaces,including information operations,programmable and real-time control capabilities,and space–time-coding *** we introduce the recent advances in designing metasurfaces using AI technologies,and particularly discuss the close combinations of information metasurfaces and AI to generate intelligent *** present self-adaptively smart metasurfaces,AI-based intelligent imagers,microwave cameras,and programmable AI machines based on optical neural ***,we indicate the challenges,applications,and future directions of information and intelligent metasurfaces.

关键词： information metasurface artificial intelligence intelligent metasurface.

TIMED/SABER观测20-110km大气温度的长期趋势

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TIMED/SABER观测20-110km大气温度的长期趋势

Fungal diversity notes 491–602: taxonomic and phylogenetic contributions to fungal taxa

中国空间科学学会空间物理学专业委员会第十五届全国日地空间物理学研讨会

作者：甘泉张绍东易帆黄春明黄开明龚韵张叶晖武汉大学电子信息学院地球空间环境与大地测量教育部重点实验室武汉大气遥感国家野外观测站

利用11年(2002-2013)SABER温度观测数据,我们详细研究了50°S-50°N,20-110 km高度范围大气温度的长期趋势。为了更准确的得到大气温度的长期趋势,我们先对不同纬度和高度上逐日纬向平均温度做了去除潮汐扰动的处理,而后以谱分析结果为...

利用11年(2002-2013)SABER温度观测数据,我们详细研究了50°S-50°N,20-110 km高度范围大气温度的长期趋势。为了更准确的得到大气温度的长期趋势,我们先对不同纬度和高度上逐日纬向平均温度做了去除潮汐扰动的处理,而后以谱分析结果为基础,从残量温度中去除了主要的季节和年际间变化。对去除了潮汐扰动、季节和年际间变化的逐日纬向平均温度做线性回归分析,可同时得到温度长期趋势和大气温度对11年太阳周期活动的响应。主要结果如下,1)低热层大气在这11年间整体呈现出变暖的趋势;2)不同纬度温度的长期趋势在高度变化上表现出很强的交替性;3)热带以外地区,平流层和中间层温度的长期趋势存在南、北半球反对称的关系。此外,从提取的大气温度对11年太阳活动周期的响应来看,在某些纬度和高度,该响应并不一定与11年太阳周期活动同步,这表明温度的十年尺度振荡可能还存在其它的驱动源。

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Fungal Diversity 2017年第2期83卷 1-261页

作者： Saowaluck Tibpromma Kevin D.Hyde Rajesh Jeewon Sajeewa S.N.Maharachchikumbura Jian-Kui Liu D.Jayarama Bhat E.B.Gareth Jones Eric H.C.McKenzie Erio Camporesi Timur S.Bulgakov Mingkwan Doilom AndreLuiz Cabral Monteiro de Azevedo Santiago Kanad Das Patinjareveettil Manimohan Tatiana B.Gibertoni Young Woon Lim Anusha Hasini Ekanayaka Benjarong Thongbai Hyang Burm Lee Jun-Bo Yang Paul M.Kirk Phongeun Sysouphanthong Sanjay K.Singh Saranyaphat Boonmee Wei Dong K.N.Anil Raj K.P.Deepna Latha Rungtiwa Phookamsak Chayanard Phukhamsakda Sirinapa Konta Subashini C.Jayasiri Chada Norphanphoun Danushka S.Tennakoon Junfu Li Monika C.Dayarathne Rekhani H.Perera Yuanpin Xiao Dhanushka N.Wanasinghe Indunil C.Senanayake Ishani D.Goonasekara N.Ide Silva Ausana Mapook Ruvishika S.Jayawardena Asha J.Dissanayake Ishara S.Manawasinghe K.W.Thilini Chethana Zong-Long Luo Kalani Kanchana Hapuarachchi Abhishek Baghela Adriene Mayra Soares Alfredo Vizzini Angelina Meiras-Ottoni Armin Mesic Arun Kumar Dutta Carlos Alberto Fragoso de Souza Christian Richter Chuan-Gen Lin Debasis Chakrabarty Dinushani A.Daranagama Diogo Xavier Lima Dyutiparna Chakraborty Enrico Ercole Fang Wu Giampaolo Simonini Gianrico Vasquez Gladstone Alves da Silva Helio Longoni Plautz Jr Hiran A.Ariyawansa Hyun Lee Ivana Kusan Jie Song Jingzu Sun Joydeep Karmakar Kaifeng Hu Kamal C.Semwal Kasun M.Thambugala Kerstin Voigt Krishnendu Acharya Kunhiraman C.Rajeshkumar Leif Ryvarden Margita Jadan MdIqbal Hosen Michal Miksık Milan C.Samarakoon Nalin N.Wijayawardene Nam Kyu Kim Neven Matocec Paras Nath Singh Qing Tian R.P.Bhatt Rafael JoseVilela de Oliveira Rodham E.Tulloss S.Aamir Saithong Kaewchai Sayali D.Marathe Sehroon Khan Sinang Hongsanan Sinchan Adhikari Tahir Mehmood Tapas Kumar Bandyopadhyay Tatyana YuSvetasheva Thi Thuong Thuong Nguyen Vladimır Antonın Wen-Jing Li Yong Wang Yuvraj Indoliya Zdenko Tkalcec Abdallah M.Elgorban Ali H.Bahkali Alvin M.C.Tang Hong-Yan Su Huang Zhang Itthayakorn Promputtha Jennifer Luangsa-ard Jianchu Xu Jiye Yan Kang Ji-Chuan Marc Stadler Pete key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of ScienceKunming 650201YunnanPeople’s Republic of China Center of Excellence in Fungal research Mae Fah Luang UniversityChiang Rai 57100Thailand School of Science Mae Fah Luang UniversityChiang Rai 57100Thailand World Agroforestry Centre East and Central AsiaKunming 650201YunnanPeople’s Republic of China Mushroom research Foundation 128 M.3 Ban Pa Deng T.Pa PaeA.Mae TaengChiang Mai 50150Thailand A.M.B.Gruppo Micologico Forlivese“Antonio Cicognani” Via Roma 18Forlı`Italy A.M.B.Circolo Micologico“Giovanni Carini” C.P.314BresciaItaly Societa`per gli Studi Naturalistici della Romagna C.P.144BagnacavalloRAItaly Formerly Department of Botany Goa UniversityTaleigaoGoaIndia No.128/1-J Azad Housing SocietyCurcaGoa VelhaIndia 33 B St.Edwards Road Southsea Hants Hampshire PO53DHUK Landcare research Manaaki Whenua Private Bag 92170AucklandNew Zealand Department of Biology Faculty of ScienceChiang Mai UniversityChiang Mai 50200Thailand Division of Applied Science College of International EducationThe Hong Kong Baptist UniversityHong Kong SARChina PostGraduate Program in Biology of Fungi Department of MycologyFederal University of PernambucoAv.Nelson Chavess/nRecifePE 50670-420Brazil Institute of Plant and Environment Protection Beijing Academy of Agriculture and Forestry SciencesBeijing 100097People’s Republic of China Environmental Microbiology Lab Division of Food TechnologyBiotechnology&AgrochemistryCollege of Agriculture and Life SciencesChonnam National UniversityYongbong-Dong 300Buk-GuGwangju 61186Korea Guizhou key Laboratory of Agricultural Biotechnology Guizhou Academy of Agricultural SciencesGuiyang 550006GuizhouPeople’s Republic of China College of Agriculture and Biological Sciences Dali UniversityDali 671003YunnanPeople’s Republic of China Yunnan Institute of Food Safety Kunming University of Science&TechnologyKunming 650500YunnanPeople’s Republic

This is a continuity of a series of taxonomic and phylogenetic papers on the fungi where materials were collected from many countries,examined and *** addition to extensive morphological descriptions and appropriate asexual and sexual connections,DNA sequence data are also analysed from concatenated datasets to infer phylogenetic relationships and substantiate systematic positions of taxa within appropriate ***ever new species or combinations are proposed,we apply an integrative approach using morphological and molecular data as well as ecological features wherever *** on 112 fungal taxa are compiled in this paper including Biatriosporaceae and Roussoellaceae,Didysimulans ***.,81 new species,18 new host records and new country records,five reference specimens,two new combinations,and three sexual and asexual morph *** new species are Amanita cornelii,***,Angustimassarina alni,***,***,***,***,Ascochyta italica,***,Austroboletus appendiculatus,Barriopsis thailandica,Berkleasmium ariense,Calophoma petasitis,Camarosporium laburnicola,***,***,***,***,Colletotrichum sambucicola,Coprinopsis cerkezii,Cytospora gelida,Dacrymyces chiangraiensis,Didysimulans italica,***,Entodesmium italica,Entoloma magnum,Evlachovaea indica,Exophiala italica,Favolus gracilisporus,Femsjonia monospora,Fomitopsis flabellata,***,Gongronella brasiliensis,Helvella crispoides,Hermatomyces chiangmaiensis,***nae,Hysterium centramurum,Inflatispora caryotae,Inocybe brunneosquamulosa,***,***,Keissleriella cirsii,Lepiota cylindrocystidia,***,***,Lophiotrema guttulata,Marasmius luculentus,Morenoina calamicola,Moelleriella thanathonensis,Mucor stercorarius,Myrmecridium fluviae,Myrothecium septentrionale,Neosetophoma garethjonesii,Nigrograna cangshanensis,Nodulosphaeria guttulatum,***tata,***,Panus subf

关键词： Agaricomycetes Ascomycota Basidiomycota Dacrymycetes Dothideomycetes Eurotiomycetes New combination Mucoromycotina New genus New records New species Pezizomycetes Phylogeny Sordariomycetes Taxonomy

Quality Standard of Yi Medicinal Material Anaphalis margaritacea

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Medicinal Plant 2022年第5期13卷 16-20页

作者： Ciga DIJIU Jianlong LAN Yuebu HAILAI Zhengming YANG Yuan LIU College of Pharmacy Southwest Minzu UniversityChengdu 610041China Sichuan Provincial Qiang-Yi Medicinal Resources Protection and Utilization Technology Engineering Laboratory Chengdu 610225China Tibetan Plateau Ethnic Medicinal Resources Protection and Utilization key Laboratory of National Ethnic Affairs Commission of the People s Republic of China Institute of Qinghai-Tibetan Plateau research Southwest Minzu UniversityChengdu 610041China Ethnic Medicine Institute Southwest Minzu UniversityChengdu 610041China

[Objectives]To establish quality standards for traditional Yi medicine of the Anaphalis margaritacea.[Methods]The original plants,traits,identification and TLC was used to identify *** *** content,total ash,acid-insoluble ash and extract were checked according to the Chinese Pharmacopoeia(2020 Edition).The content of 3,5-dicaffeoylquinic acid was determined by HPLC.[Results]The microscopic identification features are obvious,epidermal cells,stomata,non-glandular hairs,annular vessel,conduit wood fiber,pollen grains,starch grains,calcium oxalate clusters were observed,*** showed clear spots and good *** extract content of acid-insoluble ash aqueous solution in 16 batches of samples was 5.22%-9.33%,6.79%-14.47%,0.39%-3.30%,20.49%-32.93%,respectively.3,5-O-dicafeylquinic acid showed good linear relationships within their own ranges(R^(2)=1.0),whose average recoveries were 99.11%with the RSD of 1.35%,respectively.[Conclusions]The method adopted was reasonable and feasible,and could be used for quality control of ***.

关键词： Anaphalis margaritacea Quality standard 3,5-O-dicafeylquinic acid TLC

A Position Self-Adaptive Method to Detect Fake Access Points

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Journal of Quantum Computing 2020年第2期2卷 119-127页

作者： Ping Lu Information Security Center State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and TelecommunicationsBeijing100876China Guizhou University Sate Key Laboratory of Public Big DataGuiyang550025China

In recent years,with the maturity and popularity of Wi-Fi technology,wireless hotspots have been deployed on a large scale in public *** at the same time,it brings many security issues that cannot be *** them,the fake access point attack is a very serious threat in wireless local area *** this paper,we propose a method to detect fake access points in wireless local area ***,our detection method is passive,which means there is almost no additional traffic will be generated during the program’s ***,different from many existing methods,our method allows the detection device to change position,the move will be perceived and the fingerprint will be updated ***,we use a variety of features as fingerprints to describe an access point better and improve *** last,the method we propose is more in line with the actual scene and has been proved effective by experiments.

关键词： Fake AP WLAN beacon frame

A Method of Text Extremum Region Extraction Based on Joint-Channels

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Journal on Artificial Intelligence 2020年第1期2卷 29-37页

作者： Xueming Qiao Weiyi Zhu Dongjie Zhu Liang Kong Yingxue Xia Chunxu Lin Zhenhao Guo Yiheng Sun state Grid Weihai Power Supply Company WeihaiChina state Grid Shandong Electric Power Company JinanChina School of Computer Science and Technology Harbin Institute of TechnologyWeihaiChina

Natural scene recognition has important significance and value in the fields of image retrieval,autonomous navigation,human-computer interaction and industrial ***,the natural scene image non-text content takes up relatively high proportion;secondly,the natural scene images have a cluttered background and complex lighting conditions,angle,font and ***,how to extract text extreme regions efficiently from complex and varied natural scene images plays an important role in natural scene image text *** this paper,a Text extremum region Extraction algorithm based on Joint-Channels(TEJC)is *** the one hand,it can solve the problem that the maximum stable extremum region(MSER)algorithm is only suitable for gray images and difficult to process color *** the other hand,it solves the problem that the MSER algorithm has high complexity and low accuracy when extracting the most stable extreme *** this paper,the proposed algorithm is tested and evaluated on the ICDAR data *** experimental results show that the method has superiority.

关键词： Feature extraction scene text detection scene text feature extraction extreme region

Cipherchain:A Secure and Efficient Ciphertext Blockchain via mPECK

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Journal of Quantum Computing 2020年第1期2卷 57-83页

作者： Hailin Chen Gang Xu Yuling Chen Xiubo Chen Yixian Yang Ruibin Fan Kaixiang Zhang Huizhong Li Information Security Center State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and TelecommunicationsBeijing100876China Guizhou University Sate Key Laboratory of Public Big DataGuizhou550025China North China University of Technology School of Computing Science and TechnologyBeijingChina Webank Shenzhen518000China

Most existing blockchain schemes are based on the design concept“openness and transparency”to realize data security,which usually require transaction data to be presented in the form of ***,it inevitably brings the issues with respect to data privacy and operating *** this paper,we proposed a novel blockchain scheme called Cipherchain,which can process and maintain transaction data in the form of ciphertext while the characteristics of immutability and auditability are *** in our scheme,transactions can be encrypted locally based on a searchable encryption scheme called multi-user public key encryption with conjunctive keyword search(mPECK),and can be accessed by multiple specific participants after appended to the globally consistent distributed *** introducing execution-consensus-update paradigm of transaction flow,Cipherchain cannot only make it possible for transaction data to exist in the form of ciphertext,but also guarantee the overall system performance not greatly affected by cryptographic operations and other local execution *** addition,Cipherchain is a promising scheme to realize the technology combination of“blockchain+cloud computing”and“permissioned blockchain+public blockchain”.

关键词： Blockchain Cipherchain cloud computing mPECK

Underground Disease Detection Based on Cloud Computing and Attention Region Neural Network

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Journal on Artificial Intelligence 2019年第1期1卷 9-18页

作者： Pinjie Xu Ce Li Liguo Zhang Feng Yang Jing Zheng Jingwu Feng state key Laboratory of Coal Resources and Safe Mining China University of Mining&TechnologyBeijing100083China School of Mechanical Electronic&Information Engineering China University of Mining&TechnologyBeijing100083China Computer Science&Engineering Harbin Engineering UniversityHarbin150001China Computer Science&Engineering Hong Kong University of Science and TechnologyHong KongChina Stanford University Palo AltoCA 94305-6104United States

Detecting the underground disease is very crucial for the roadbed health monitoring and maintenance of transport facilities,since it is very closely related to the structural health and reliability with the rapid development of road *** penetrating radar(GPR)is widely used to detect road and underground ***,it is still a challenging task due to data access anywhere,transmission security and data processing on *** computing can provide scalable and powerful technologies for large-scale storage,processing and dissemination of GPR *** with cloud computing and radar detection technology,it is possible to locate the underground disease quickly and *** paper deploys the framework of a ground disease detection system based on cloud computing and proposes an attention region convolution neural network for object detection in the GPR *** results of the precision and recall metrics show that the proposed approach is more efficient than traditional objection detection method in ground disease detection of cloud based system.

关键词： Cloud computing ground penetrating radar convolution neural network