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Adaptive Lifting Transform for Classification of Hyperspectral Signatures

Advances in Remote Sensing 2015年第2期4卷 138-146页

作者： rajesh agrawal Narendra Bawane Department of Electronics GHRC Nagpur India RTM University Nagpur India

Supervised classification of hyperspectral images is a challenging task because of the higher dimensionality of a pixel signature. The conventional classifiers require large training data set;however, practically limited numbers of labeled pixels are available due to complexity and cost involved in sample collection. It is essential to have a method that can reduce such higher dimensional data into lower dimensional feature space without the loss of useful information. For classification purpose, it will be useful if such a method takes into account the nature of the underlying signal when extracting lower dimensional feature vector. The lifting framework provides the required flexibility. This article proposes the adaptive lifting wavelet transform to extract the lower dimensional feature vectors for the classification of hyperspectral signatures. The proposed adaptive update step allows the decomposition filter to adapt to the input signal so as to retain the desired characteristics of the signal. A three-layer feed forward neural network is used as a supervised classifier to classify the extracted features. The effectiveness of the proposed method is tested on two hyperspectral data sets (HYDICE & ROSIS sensors). The performance of the proposed method is compared with first generation discrete wavelet transform (DWT) based feature extraction method and previous studies that use the same data. The indices used for measuring performance are overall classification accuracy and Kappa value. The experimental results show that the proposed adaptive lifting scheme (ALS) has excellent results with a small size training set.

关键词： Adaptive Lifting Scheme Pattern Classification Hyperspectral Image Feature Extraction Neural Network

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GRADE: Deep learning and garlic routing-based secure data sharing framework for IIoT beyond 5G

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Digital Communications and Networks 2023年第2期9卷 422-435页

作者： Nilesh Kumar Jadav Riya Kakkar Harsh Mankodiya rajesh Gupta Sudeep Tanwar Smita agrawal Ravi Sharma Department of Computer Science and Engineering Institute of TechnologyNirma UniversityAhmedabadGujaratIndia Centre for Inter-Disciplinary Research and Innovation University of Petroleum and Energy StudiesP.O.Bidholi Via-Prem NagarDehradunIndia

The rise of automation with Machine-Type Communication(MTC)holds great potential in developing Industrial Internet of Things(IIoT)-based applications such as smart cities,Intelligent Transportation Systems(ITS),supply chains,and smart industries without any human ***,MTC has to cope with significant security challenges due to heterogeneous data,public network connectivity,and inadequate security *** overcome the aforementioned issues,we have proposed a blockchain and garlic-routing-based secure data exchange framework,i.e.,GRADE,which alleviates the security constraints and maintains the stable connection in ***,the Long-Short-Term Memory(LSTM)-based Nadam optimizer efficiently predicts the class label,i.e.,malicious and non-malicious,and forwards the non-malicious data requests of MTC to the Garlic Routing(GR)*** GR network assigns a unique ElGamal encrypted session tag to each machine partaking in ***,an Advanced Encryption Standard(AES)is applied to encrypt the MTC data ***,the InterPlanetary File System(IPFS)-based blockchain is employed to store the machine's session tags,which increases the scalability of the proposed GRADE ***,the proposed framework has utilized the indispensable benefits of the 6G network to enhance the network performance of ***,the proposed GRADE framework is evaluated against different performance metrics such as scalability,packet loss,accuracy,and compromised rate of the MTC data *** results show that the GRADE framework outperforms the baseline methods in terms of accuracy,i.e.,98.9%,compromised rate,i.e.,18.5%,scalability,i.e.,47.2%,and packet loss ratio,i.e.,24.3%.

关键词： Garlic routing Blockchain I2P LSTM Artificial intelligence Onion routing

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Barnyard millet global core collection evaluation in the submontane Himalayan region of India using multivariate analysis

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The Crop Journal 2015年第6期3卷 517-525页

作者： Salej Sood rajesh K.Khulbe Arun Kumar R. Pawan K. agrawal Hari D.Upadhyaya Indian Council of Agricultural Research-Vivekananda Institute of Hill Agriculture International Crop Research Institute for the Semi-Arid Tropics (ICRISAT)

Barnyard millet(Echinochloa spp.) is one of the most underresearched crops with respect to characterization of genetic resources and genetic enhancement. A total of 95 germplasm lines representing global collection were evaluated in two rainy seasons at Almora,Uttarakhand, India for qualitative and quantitative traits and the data were subjected to multivariate analysis. High variation was observed for days to maturity, five-ear grain weight, and yield components. The first three principal component axes explained 73% of the total multivariate variation. Three major groups were detected by projection of the accessions on the first two principal components. The separation of accessions was based mainly on trait morphology. Almost all Indian and origin-unknown accessions grouped together to form an Echinochloa frumentacea group. Japanese accessions grouped together except for a few outliers to form an Echinochloa esculenta group. The third group contained accessions from Russia, Japan, Cameroon, and Egypt. They formed a separate group on the scatterplot and represented accessions with lower values for all traits except basal tiller number. The interrelationships between the traits indicated that accessions with tall plants, long and broad leaves, longer inflorescences, and greater numbers of racemes should be given priority as donors or parents in varietal development initiatives. Cluster analysis identified two main clusters based on agro-morphological characters.

关键词： Agro-morphological variation Barnyard millet core germplasm Cluster analysis Echinochloa spp Principal component analysis

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Notes for genera:Ascomycota

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Fungal Diversity 2017年第5期86卷 1-594页

作者： Nalin N.Wijayawardene Kevin D.Hyde Kunhiraman C.rajeshkumar David L.Hawksworth Hugo Madrid Paul M.Kirk Uwe Braun Rajshree V.Singh Pedro W.Crous Martin Kukwa Robert Lücking Cletus P.Kurtzman Andrey Yurkov Danny Haelewaters Andre´Aptroot H.Thorsten Lumbsch Einar Timdal Damien Ertz Javier Etayo Alan J.L.Phillips Johannes Z.Groenewald Moslem Papizadeh Laura Selbmann Monika C.Dayarathne Gothamie Weerakoon E.B.Gareth Jones Satinee Suetrong Qing Tian Rafael F.Castanda-Ruiz Ali H.Bahkali Ka-Lai Pang Kazuaki Tanaka Dong Qin Dai Jariya Sakayaroj Martina Hujslová Lorenzo Lombard Belle D.Shenoy Ave Suija Sajeewa S.N.Maharachchikumbura Kasun M.Thambugala Dhanushka N.Wanasinghe Bharati O.Sharma Subhash Gaikwad Gargee Pandit Laura Zucconi Silvano Onofri Eleonora Egidi Huzefa A.Raja Rampai Kodsueb Marcela E.S.Caceres Sergio Perez-Ortega Patrícia O.Fiuza Josiane Santana Monteiro Larissa N.Vasilyeva Roger G.Shivas Maria Prieto Mats Wedin Ibai Olariaga Adebola Azeez Lateef Yamini agrawal Seyed Abolhassan Shahzadeh Fazeli Mohammad Ali Amoozegar Guo Zhu Zhao Walter P.Pfliegler Gunjan Sharma Magdalena Oset Mohamed A.Abdel-Wahab Susumu Takamatsu Konstanze Bensch Nimali Indeewari de Silva AndréDe Kesel Anuruddha Karunarathna Saranyaphat Boonmee Donald H.Pfister Yong-Zhong Lu Zong-Long Luo Nattawut Boonyuen Dinushani A.Daranagama Indunil C.Senanayake Subashini C.Jayasiri Milan C.Samarakoon Xiang-Yu Zeng Mingkwan Doilom Luis Quijada Sillma Rampadarath Gabriela Heredia Asha J.Dissanayake Ruvishika S.Jayawardana Rekhani H.Perera Li Zhou Tang Chayanard Phukhamsakda Margarita Hernańdez-Restrepo Xiaoya Ma Saowaluck Tibpromma Luis F.P.Gusmao Darshani Weerahewa Samantha C.Karunarathna 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 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 National Fungal Culture Collection of India(NFCCI) Biodiversity and Palaeobiology(Fungi)GroupAgharkar Research InstitutePuneMaharashtra 411004India Royal Botanic Gardens KewRichmondSurrey TW93DSUK Department of Life Sciences The Natural History MuseumCromwell RoadLondon SW75BDUK Jilin Agricultural University Changchun 130118JilinPeople’s Republic of China Centro de Geno´mica y Bioinforma´tica Facultad de CienciasUniversidad Mayor de ChileCamino La Pira´mide 5750HuechurabaSantiagoChile Martin-Luther-Universita¨t Institut fu¨r BiologieBereich Geobotanik und Botanischer GartenHerbariumNeuwerk 2106099 Halle(Saale)Germany Westerdijk Fungal Biodiversity Institute Uppsalalaan 83584 CT UtrechtThe Netherlands Department of Plant Taxonomy and Nature Conservation Faculty of BiologyUniversity of Gdan´skWita Stwosza 5980-308 Gdan´skPoland Botanic Garden and Botanical Museum Königin-Luise-Str.6-814195 BerlinGermany Mycotoxin Prevention and Applied Microbiology Research Unit National Center for Agricultural Utilization ResearchAgricultural Research ServiceU.S.Department of AgriculturePeoriaIL 61604USA Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures Inhoffenstraße 7B38124 BrunswickGermany Farlow Reference Library and Herbarium of Cryptogamic Botany Harvard University22 Divinity AvenueCambridgeMA 02138USA Department of Organismic and Evolutionary Biology Harvard University22 Divinity AvenueCambridgeMA 02138USA ABL Herbarium G.v.d.Veenstraat 1073762 XK SoestThe Netherlands Science&Education The Field Museum1400

Knowledge of the relationships and thus the classification of fungi,has developed rapidly with increasingly widespread use of molecular techniques,over the past 10–15 years,and continues to *** genera have been found to be polyphyletic,and their generic concepts have subsequently been *** names have thus been introduced for species which are phylogenetically distinct from the type species of particular *** ending of the separate naming of morphs of the same species in 2011,has also caused changes in fungal generic *** order to facilitate access to all important changes,it was desirable to compile these in a single *** present article provides a list of generic names of Ascomycota(approximately 6500 accepted names published to the end of 2016),including those which are *** and summaries of the changes since the last edition of‘Ainsworth&Bisby’s Dictionary of the Fungi’in 2008 are *** notes include the number of accepted species,classification,type species(with location of the type material),culture availability,life-styles,distribution,and selected publications that have appeared since *** work is intended to provide the foundation for updating the ascomycete component of the"Without prejudice list of generic names of Fungi"published in 2013,which will be developed into a list of protected generic *** will be subjected to the XIXth International Botanical Congress in Shenzhen in July 2017 agreeing to a modification in the rules relating to protected lists,and scrutiny by procedures determined by the Nomenclature Committee for Fungi(NCF).The previously invalidly published generic names Barriopsis,Collophora(as Collophorina),Cryomyces,Dematiopleospora,Heterospora(as Heterosporicola),Lithophila,Palmomyces(as Palmaria)and Saxomyces are validated,as are two previously invalid family names,Bartaliniaceae and *** species of Lalaria,which were invalidly published are trans

关键词： Article 59 Classification One name Pleomorphic fungi Taxonomy

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