Modulated-ISRJ rejection using online dictionary learning for synthetic aperture radar imagery

In electromagnetic countermeasures circumstances,synthetic aperture radar(SAR)imagery usually suffers from severe quality degradation from modulated interrupt sampling repeater jamming(MISRJ),which usually owes considerable coherence with the SAR transmission waveform together with periodical modulation patterns.This paper develops an MISRJ suppression algorithm for SAR imagery with online dictionary learning.In the algorithm,the jamming modulation temporal properties are exploited with extracting and sorting MISRJ slices using fast-time autocorrelation.Online dictionary learning is followed to separate real signals from jamming slices.Under the learned representation,time-varying MISRJs are suppressed effectively.Both simulated and real-measured SAR data are also used to confirm advantages in suppressing time-varying MISRJs over traditional methods.

THE SPARSE REPRESENTATION RELATED WITH FRACTIONAL HEAT EQUATIONS

This study introduces a pre-orthogonal adaptive Fourier decomposition(POAFD)to obtain approximations and numerical solutions to the fractional Laplacian initial value problem and the extension problem of Caffarelli and Silvestre(generalized Poisson equation).As a first step,the method expands the initial data function into a sparse series of the fundamental solutions with fast convergence,and,as a second step,makes use of the semigroup or the reproducing kernel property of each of the expanding entries.Experiments show the effectiveness and efficiency of the proposed series solutions.

The Construction of General Principles about the Exemplification in the Electronic Learner's Dictionary

Dictionary has many functions, in which the function of definition is of very importance because the main purpose of dictionary is providing the entry's meaning information for the readers so that the readers can understand and use the entry-word and the realization of the purpose completely depends on lexicographical definition. However, the function of definition is limited, which need the exemplification to assist it. Therefore, the exemplification becomes very important, too. Good exemplification can assist definition, provide grammatical information, and supplement the information usage and so on. Many researches studied the exemplification of dictionary, its principles and so on. Dictionary changed much with the development of technology and many kinds of electronic dictionaries appeared. Few studies are involved with the new-type dictionary. Based on the general principles of the exemplification in a learner's printed dictionary, it is necessary to construct the general principles about the exemplification in the electronic learner's dictionary.

Comments on Nigel Wiseman s A Practical Dictionary of Chinese Medicine(Ⅰ)——On the“Word-for-word”Literal Approach to Translation

Comments were made on the ＂word-for-word＂ literal translation method used by Mr. Nigel Wiseman in A Practical Dictionary of Chinese Medicine. He believes that only literal translation can reflect Chinese medical concepts accurately. The so-called ＂word-for-word＂ translation is actually ＂English-word-for- Chinese-character＂ translation. First, the authors of the dictionary made a list of Single Characters with English Equivalents, and then they gave each character of the medical term an English equivalent according to the list. Finally, they made some minor modifications to make the rendering grammatically smoother. Many English terms thus produced are confusing. The defect of the word-for-word literal translation stems from the erroneous idea that a single character constitutes the basic element of meaning corresponding to the notion of ＂word＂ in English, and the meaning of a disyllabic or polysyllabic Chinese word is the simple addition of the constituent characters. Another big mistake is the negligence of the polysemy of Chinese characters. One or two English equivalents can by no means cover all the various meanings of a single character which is a polysemous monosyllabic word. Various examples were cited from this dictionary to illustrate the mistakes.

Comments on Nigel Wiseman's A Practical Dictionary of Chinese Medicine (Ⅱ) ——On the Use of Western Medical Terms to Express the Concepts of Traditional Chinese Medicine

Mr. Wiseman believes that Western medical terms chosen as equivalents of Chinese medical terms should be the words known to all speakers and not requiring any specialist knowledge or instrumentation to understand or identify, and strictly technical Western medical terms should be avoided regardless of their conceptual conformity to the Chinese terms. Accordingly, many inappropriate Western medical terms are selected as English equivalents by the authors of the Dictionary, and on the other hand, many ready-made appropriate Western medical terms are replaced by loan English terms with the Chinese style of word formation. The experience gained in solving the problems of translating Western medical terms into Chinese when West- ern medicine was first introduced to China is helpful for translating Chinese medical terms into English. However, the authors of the Dictionary adhere to their own opinions, ignoring others＂ experience. The English terms thus created do not reflect the genuine meaning of the Chinese terms, but make the English glossary in chaos. The so-called true face of traditional Chinese revealed by such terms is merely the Chinese custom of word formation and metaphoric rhetoric. In other words, traditional Chinese medicine is not regarded as a system of medicine but merely some Oriental folklore.

Adaptive electricity theft detection method based on load shape dictionary of customers

With the application of the advanced measurement infrastructure in power grids,data driven electricity theft detection methods become the primary stream for pinpointing electricity thieves.However,owing to anomaly submergence,which shows that the usage patterns of electricity thieves may not always deviate from those of normal users,the performance of the existing usage-pattern-based method could be affected.In addition,the detection results of some unsupervised learning algorithm models are abnormal degrees rather than“0-1”to ascertain whether electricity theft has occurred.The detection with fixed threshold value may lead to deviation and would not be sufficiently flexible to handle the detection for different scenes and users.To address these issues,this study proposes a new electricity theft detection method based on load shape dictionary of users.A corresponding strategy for tunable threshold is proposed to optimize the detection effect of electricity theft,and the efficacy and applicability of the proposed adaptive electricity theft detection method were verified from numerical experiments.

The Evaluation of the Seventh Edition of Oxford Advanced Learner's English-Chinese Dictionary

As one of the most popular English learning tools, the 7th edition of Oxford Advanced Learner's English-Chinese Dictionary aims to provide adequate information to satisfy learners' needs. In this article, this latest edition is examined with re spect to two primary aspects: syntactic and semantic information based on Chan, A.C. and Y. Loong's evaluating criteria of learn er's dictionary. The focus falls on grammatical properties of nouns, verbs and adjectives, valency requirement, definitions, syn onyms and antonyms, collocations, etc. Conclusion suggests that the overall standard of this new dictionary is admirably high in terms of applicability and user-friendliness.

The Distinguished Features of Longman Dictionary of Contemporary English (edition 3)

Longman Dictionary of Contemporary English is one of the commonly-used dictionaries for English learners,in order to help English learners learn more about the Longman Dictionary and make use of it better,the main common features of the Longman Dictionary of Contemporary English group are summarized in this essay and based on that,the distinguished features and the deficiencies of the Longman Dictionary of Contemporary English(edition 3) are analyzed.

Transductive Transfer Dictionary Learning Algorithm for Remote Sensing Image Classification

To create a green and healthy living environment,people have put forward higher requirements for the refined management of ecological resources.A variety of technologies,including satellite remote sensing,Internet of Things,artificial intelligence,and big data,can build a smart environmental monitoring system.Remote sensing image classification is an important research content in ecological environmental monitoring.Remote sensing images contain rich spatial information andmulti-temporal information,but also bring challenges such as difficulty in obtaining classification labels and low classification accuracy.To solve this problem,this study develops a transductive transfer dictionary learning(TTDL)algorithm.In the TTDL,the source and target domains are transformed fromthe original sample space to a common subspace.TTDL trains a shared discriminative dictionary in this subspace,establishes associations between domains,and also obtains sparse representations of source and target domain data.To obtain an effective shared discriminative dictionary,triple-induced ordinal locality preserving term,Fisher discriminant term,and graph Laplacian regularization termare introduced into the TTDL.The triplet-induced ordinal locality preserving term on sub-space projection preserves the local structure of data in low-dimensional subspaces.The Fisher discriminant term on dictionary improves differences among different sub-dictionaries through intra-class and inter-class scatters.The graph Laplacian regularization term on sparse representation maintains the manifold structure using a semi-supervised weight graphmatrix,which can indirectly improve the discriminative performance of the dictionary.The TTDL is tested on several remote sensing image datasets and has strong discrimination classification performance.

A robust sparse representation algorithm based on adaptive joint dictionary

Sparse representation based on dictionary construction and learning methods have aroused interests in the field of face recognition.Aiming at the shortcomings of face feature dictionary not‘clean’and noise interference dictionary not‘representative’in sparse representation classification model,a new method named as robust sparse representation is proposed based on adaptive joint dictionary(RSR-AJD).First,a fast lowrank subspace recovery algorithm based on LogDet function(Fast LRSR-LogDet)is proposed for accurate low-rank facial intrinsic dictionary representing the similar structure of human face and low computational complexity.Then,the Iteratively Reweighted Robust Principal Component Analysis(IRRPCA)algorithm is used to get a more precise occlusion dictionary for depicting the possible discontinuous interference information attached to human face such as glasses occlusion or scarf occlusion etc.Finally,the above Fast LRSR-LogDet algorithm and IRRPCA algorithm are adopted to construct the adaptive joint dictionary,which includes the low-rank facial intrinsic dictionary,the occlusion dictionary and the remaining intra-class variant dictionary for robust sparse coding.Experiments conducted on four popular databases(AR,Extended Yale B,LFW,and Pubfig)verify the robustness and effectiveness of the authors’method.

Design and Implementation of a New Chinese Word Segmentation Dictionary for the Personalized Mobile Search

Chinese word segmentation is the basis of natural language processing. The dictionary mechanism significantly influences the efficiency of word segmentation and the understanding of the user’s intention which is implied in the user’s query. As the traditional dictionary mechanisms can't meet the present situation of personalized mobile search, this paper presents a new dictionary mechanism which contains the word classification information. This paper, furthermore, puts forward an approach for improving the traditional word bank structure, and proposes an improved FMM segmentation algorithm. The results show that the new dictionary mechanism has made a significant increase on the query efficiency and met the user’s individual requirements better.

Simultaneous denoising and resolution enhancement of seismic data based on elastic convolution dictionary learning

Enhancing seismic resolution is a key component in seismic data processing, which plays a valuable role in raising the prospecting accuracy of oil reservoirs. However, in noisy situations, existing resolution enhancement methods are difficult to yield satisfactory processing outcomes for reservoir characterization. To solve this problem, we develop a new approach for simultaneous denoising and resolution enhancement of seismic data based on convolution dictionary learning. First, an elastic convolution dictionary learning algorithm is presented to efficiently learn a convolution dictionary with stronger representation capability from the noisy data to be processed. Specifically, the algorithm introduces the elastic L1/2 norm as a sparsity constraint and employs a steepest gradient descent strategy to efficiently solve the frequency-domain linear system with substantial computational cost in a half-quadratic splitting framework. Then, based on the learned convolution dictionary, a weighted convolutional sparse representation paradigm is designed to encode the noisy data to acquire an optimal sparse approximation of the effective signal. Subsequently, a high-resolution dictionary with a broadband spectrum is constructed by the proposed parameter scaling strategy and matched filtering technique on the basis of atomic spectrum modeling. Finally, the optimal sparse approximation of the effective signal and the constructed high-resolution dictionary are used for data reconstruction to obtain the seismic signal with high resolution and high signal-to-noise ratio. Synthetic and field dataset examples are executed to check the effectiveness and reliability of the developed method. The results indicate that this method has a more competitive performance in seismic applications compared with the conventional deconvolution and spectral whitening methods.

Seismic data denoising under the morphological component analysis framework combined with adaptive K-SVD and wave atoms dictionary

Many different effective reflection information are often contaminated by exterior and random noise which concealed in the seismic data.Traditional single or fixed transform is not suit for exploiting their complicated characteristics and attenuating the noise.Recent years,a novel method so-called morphological component analysis(MCA)is put forward to separate different geometrical components by amalgamating several irrelevance transforms.According to study the local singular and smooth linear components characteristics of seismic data,we propose a method of suppressing noise by integrating with the advantages of adaptive K-singular value decomposition(K-SVD)and wave atom dictionaries to depict the morphological features diversity of seismic signals.Numerical results indicate that our method can dramatically suppress the undesired noises,preserve the information of geologic body and geological structure and improve the signal-to-noise ratio of the data.We also demonstrate the superior performance of this approach by comparing with other novel dictionaries such as discrete cosine transform(DCT),undecimated discrete wavelet transform(UDWT),or curvelet transform,etc.This algorithm provides new ideas for data processing to advance quality and signal-to-noise ratio of seismic data.

The 1787 Drama Dictionary as an Instrument of Enlightenment in Imperial Russia

The Russian theatre has not been neglected in the studies on theatre history, literary criticism and dramatic arts. The paper attempts to have a look at the 1787 Drama Dictionary, the first theatre reference book published in the country （with a very long Russian title containing 35 words） as a cultural product of the Enlightenment Age produced by its representative. In the introduction to the dictionary the compiler says that the publication would help young people develop a taste for refined entertainment and reject violent leisure activities of the past, enjoy theatre and learn life moral lessons from it. He considers theatre as a powerful means of changing Russian society as has been demanded by the Enlightenment Age. The structural and sociocultural analyses of 1787 Drama Dictionary materials give us an insight into some ways of westernising Russian society through theatre and how this westernisation was reflected in the theatre terminology of the time. I have argued that Russian-European Relationships resulting in the westernisation of Russian theatre theory and practices went hand in hand with the Russian translation-adaptation of Western plays and adaptation of some Western cultural patterns of social thinking and behaviour without rejecting completely the national identity in newly-born Russian dramatic literature.

The Role of Bilingualised Learner＇s Dictionary in Vocabulary Learning of Chinese College Students as non-English Majors

According to Cowie(2002), choosing which type of dictionary depends on"several factors, including the year of study, the level of linguistic proficiency of the users, and the nature of the study activity"(p. 195). After comparing the features of monolingual and bilingual learner's dictionaries, and examining the definitions and examples of three entry words(‘owe',‘deadlock'and‘pertinent') in six popular learner's dictionaries in China, we make a tentative conclusion that bilingualised dictionary is the better choice in vocabulary learning of Chinese college students as non-English majors. Some further investigations have to be conducted about the status quo of dictionary use among Chinese college students as non-English majors and their vocabulary learning strategies.

Using the Chinese-Spanish Dictionary by Video： Methodological Guidelines for the Design

The purpose of this paper is to present and analyze the methodological guidelines that directed the design, production, and use of the video program 衹要功夫深,铁棒磨成针 or How to Use the Chinese Dictionary： Beginners＇ Level, as well as expose the development phases of the program and its use by teachers in the classrooms of Chinese as a foreign language. This program is part of a series of videos about the use of dictionaries in different languages, which have been designed, produced, used, and assessed in the framework of the project ＂Diseno y produccion de material didctico en video para la ensefianza de lenguas en la UNAM＂ （Design and Production of Didactic Materials on Video for the Teaching of Languages at UNAM）, just as presented at the II Congreso Internacional de Lexicografia Hispanica （II International Congress of Hispanic Lexicography） （2006）. The topic Of this paper is the use of Chinese-Spanish bilingual dictionary. The method used was descriptive and systematic analysis methodological guidelines for creation derived from the design model proposed.

Research Proposal: A Study of the Effect of Mobile Dictionary Use on English Learning: Focusing on the Students in Vocational School in Rural Area

Mobile devices are effective tools for language learning and have positive effect on the development of language skills,heighten learners’ language learning attitudes and motivation, and support learner interaction, collaboration, and the coconstruction of knowledge. In spite of the popularity of mobile dictionaries among students, research on the effect of this app on students’language learning, especially focusing on the students from vocational school in rural area, is still scarce. So the purpose ofthe current study is probing into the effect of using mobile dictionaries on lower-intermediate students’ language learning, focusingon the students from vocational school in rural areas, in contrast to using printed dictionaries. This proposal is arranged as follows:section one presents the research background; section two reviews literatures; section three provides research problems and research design; section four presents data analysis and anticipated results. This proposal ends with conclusions. In term of researchaims, a mixed method of quantitative and qualitative will be applied with the main aim of probing the effect of using mobile dictionaries on students’ English learning and the opinions of students’on using the mobile dictionaries in English learning. Researchmethods in the form of quasi-experimental pre-and post-tests, questionnaires, interview will be undertaken to collect data.

A TAP Study on the Use of Monolingual Dictionary in the Process of Translation

This paper describes a Think-Aloud Protocol study exploring how the translators use the monolingual dictionary during the decoding and encoding process.The study finds that different microstructural elements in the entry help translators in different ways,not only assisting their comprehension but also helping them seek the equivalence and produce translation.Functions of sense,word class and other elements in the dictionary are also identified respectively by comparing the translators’TAPs and analyzing their comments.

The Importance of Dictionary Use in Vocabulary Acquisition—A Research Based on the Junior Students of WICT

Vocabulary learning is very important in language learning, while dictionary use plays an obvious role in vocabulary acquisition. The author investigates dictionary use in vocabulary learning among the junior students in Wuxi Institute of Communications Technology(WICT)and reveals the significant differences between the good learners and the poor learners in their attitude and use of the dictionary. Accordingly, the author offers some suggestions on dictionary use to solve the problems found in vocabulary acquisition.

Research on the Transmutation of Chinese Loanwords-Based on Modern Chinese Dictionary(7th Edition)

Vocabulary plays an irreplaceable role in a language.As an important carrier to record foreign cultures in vocabulary,loanwords are widely used in all aspects of society.Modern Chinese Dictionary includes loanwords from a variety of languages from the perspective of universal use.This paper takes the loanwords in Modern Chinese Dictionary(7th Edition)as the closed corpus,and analyzes the etymology,structure,word length,and other aspects while making blanket statistics on the loanwords.The representative words are investigated by word frequency and described from multiple perspectives.