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HY-2A microwave scatterometer wind retrieval algorithm

Lin Mingsen,Zou Juhong,Xie Xuetong and Zhang Yi

Strategic Study of CAE 2013, Volume 15, Issue 7, Pages 68-74

Abstract:

The routine wind fields retrieval algorithm for China's microwaveBy introducing a two-step search schema into the wind retrieval process, which included a coarse-searchand an optimal-search, the efficiency of wind retrieval was greatly improved.

Keywords： HY-2A microwave scatterometer wind fields retrieval algorithm

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Verification of HY-2 satellite radar altimeter wind retrieval

Jia Yongjun,Zhang Youguang,Lin Mingsen

Strategic Study of CAE 2014, Volume 16, Issue 6, Pages 54-59

Abstract: In this study, the two-parameter algorithm is used to get the wind speed from HY-2 satellite radar altimeterThe correctness of this algorithm is calculated using the Jason-1 and HY-2 scatterometer data qualitativelyThree different methods(cross-over method, NDBC) are used respectively to evaluate this algorithm.

Keywords： wind speed retrieval two-parameter algorithm radar altimeter HY-2

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Study on retrieval algorithm of ocean parameters for the HY-2 scanning microwave radiometer

Wang Zhenzhan,Bao Jinghua,Li Yun,Shen Hua

Strategic Study of CAE 2014, Volume 16, Issue 6, Pages 70-82

Abstract:

This paper established retrieval algorithm of sea surface temperatureThe validation of sea surface temperature，sea surface wind speed shows that the algorithm is feasibleThe retrieval algorithm will be optimized by further calibration of brightness temperature.

Keywords： HY-2 satellite scanning microwave radiometer ocean parameter retrieval algorithm

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Phase problems in optical imaging Review

Guo-hai SITU, Hai-chao WANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 9, Pages 1277-1287 doi: 10.1631/FITEE.1700298

Abstract: In this paper, we provide a review ofour recent work on iterative phase retrieval techniques and theirapplications

Keywords： Phase retrieval Phase imaging Computational imaging Gerchberg-Saxton algorithm Optical encryption

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Improving retrieval precision of NO

Jinpeng YANG

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1, Pages 92-96 doi: 10.1007/s11465-009-0001-5

Abstract: The NO density error retrieved by the traditional method of differential optical absorption spectroscopy (DOAS) was analyzed. The technique for reducing the error is proposed and used to obtain the NO density of Chengdu through DOAS.

Keywords： absorption structure low-frequency structure absorption cross-section NO₂ density

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Paper evolution graph: multi-view structural retrieval for academic literature None

Dan-ping LIAO, Yun-tao QIAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2, Pages 187-205 doi: 10.1631/FITEE.1700105

Abstract:

Academic literature retrieval concerns about the selection of papers that are most likely to matchMost of the retrieval systems are limited to list-output models, in which the retrieval results are isolatedIn this paper, we aim to uncover the relationships between the retrieval results and propose a methodto build structural retrieval results for academic literature, which we call a paper evolution graph

Keywords： Paper evolution graph Academic literature retrieval Metagraph factorization Topic coherence

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Robust cross-modal retrieval with alignment refurbishment Research Article

Jinyi GUO, Jieyu DING,jinyi_g@njust.edu.cn,djy@qdu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 10, Pages 1403-1415 doi: 10.1631/FITEE.2200514

Abstract: tries to achieve mutual retrieval between modalities by establishing consistent alignment for different

Keywords： Cross-modal retrieval Robust learning Alignment correction Beta-mixture model

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Analysis of Data Sets With Different Microwave Remote Sensing Mode in Soil Moisture Retrieval

Yuan Wei,Li Zongqian,Liu Ning

Strategic Study of CAE 2004, Volume 6, Issue 6, Pages 50-56

Abstract: The methods and characters of three microwave remote sensing modes for soil moisture retrieval are discussed

Keywords： microwave remote sensing soil moisture retrieval remote sensing modes neural network

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Image-based 3D model retrieval using manifold learning None

Pan-pan MU, San-yuan ZHANG, Yin ZHANG, Xiu-zi YE, Xiang PAN

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11, Pages 1397-1408 doi: 10.1631/FITEE.1601764

Abstract:

We propose a new framework for image-based three-dimensional (3D) model retrieval.Thus, the image-based 3D model retrieval is reduced to a problem of Euclid-to-Riemann metric learningFinally, we design an optimization algorithm to learn a metric in this Hilbert space using a kernel trickresults show the advantages of our approach over the state-of-the-art methods for image-based 3D model retrieval

Keywords： Model retrieval Euclidean space Riemannian manifold Hilbert space Metric learning

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Efficient dynamic pruning on largest scores first (LSF) retrieval

Kun JIANG,Yue-xiang YANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 1, Pages 1-14 doi: 10.1631/FITEE.1500190

Abstract: We propose another novel exhaustive index traversal scheme called largest scores first (LSF) retrievalexisting term-at-atime (TAAT) and the candidate selection cost of existing document-at-a-time (DAAT) retrieval

Keywords： Inverted index Index traversal Query latency Largest scores first (LSF) retrieval Dynamic pruning

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Optimization and its realization of anneal-genetic algorithm

Wang Ying

Strategic Study of CAE 2008, Volume 10, Issue 7, Pages 57-59

Abstract:

A method that uses annealing algorithm to improve the inefficient localsearch of genetic algorithm is proposed.The algorithm optimization is more rapidly in precision after annealing algorithm integration with thegenetic algorithm.By examples of cement ratio works, compared with results of the simple algorithm, it is effectively.

Keywords： genetic algorithm simulated annealing algorithm genetic algorithm improvement

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A machine learning approach to query generation in plagiarism source retrieval Article

Lei-lei KONG, Zhi-mao LU, Hao-liang QI, Zhong-yuan HAN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10, Pages 1556-1572 doi: 10.1631/FITEE.1601344

Abstract: Plagiarism source retrieval is the core task of plagiarism detection.Generating queries from a suspicious document is one of the most important steps in plagiarism source retrievalFurther improvements on heuristic methods for source retrieval rely mainly on the experience of expertsThe statistical machine learning approach to query generation for source retrieval is formulated as aSpecifically, it aims to achieve the optimal source retrieval performance for each suspicious document

Keywords： Plagiarism detection Source retrieval Query generation Machine learning Learning to rank

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Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3, Pages 313-316 doi: 10.1007/s11465-006-0026-y

Abstract: A multiobjective image recognition algorithm based on clustering Genetic Algorithm (GA), is proposedExperimental results demonstrated that the number of target images could be determined by the algorithm

Keywords： clustering different recognition algorithm Algorithm multiobjective

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Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic algorithms

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1, Pages 57-74 doi: 10.1007/s11709-021-0784-y

Abstract: obtained by classical metaheuristic algorithms and a gradient descent-based hyperband optimization (HBO) algorithm

Keywords： steel dome optimization water strider algorithm grey wolf algorithm brain storm optimization algorithm hyperband optimization algorithm

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Optimal design of steel skeletal structures using the enhanced genetic algorithm methodology

Tugrul TALASLIOGLU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4, Pages 863-889 doi: 10.1007/s11709-019-0523-9

Abstract: For this purpose, the enhanced genetic algorithm methodology named EGAwMP is utilized as an optimizationThe evolutionary search mechanism of EGAwMP is constituted on the basis of generational genetic algorithm

Keywords： design optimization genetic algorithm multiple populations neural network