GNSSer: objected-oriented and design pattern-based software for GNSS data parallel processing

Li, Linyang; Zhang, Lu; Chen, Zhengsheng; Cui, Yang; Dashuang, Sun; Wang, Yupu; Kuang, Yingcai; Wang, Fangchao

doi:10.1080/14498596.2019.1574245

Cited by 11 publications

(3 citation statements)

References 12 publications

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“…As can be seen in Figure 3, unlike traditional data access methods, in the HDFS distributed file system, the client first communicates with the metadata nodes to obtain an overview of the file distribution on the data nodes by querying the metadata information and then directly completing file operations with the data nodes, the process of which is divided into the following parts [19]. (1) e client sends an I/O request, establishes RPC communication with the metadata node, and passes the file request to the metadata node.…”

Section: Application Of Fine-grained Parallel Computing In the Constr...mentioning

confidence: 99%

Construction of a Mental Health Education Model for College Students Based on Fine-Grained Parallel Computing Programming

Zhu

Xue

2022

Mathematical Problems in Engineering

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Mental health and mental health problems of college students are becoming more and more obvious, and there is more and more negative news caused by psychological problems, and society from all walks of life has given high attention to this problem. Given the new situations and new problems, how to keep up with the times and reform and innovate in the content, method, and path of psychological education in colleges and universities is an important work of ideological and political education in colleges and universities. Because fine-grained category information can provide rich semantic clues, fine-grained parallel computing techniques are widely used in tasks such as sensitive feature filtering, medical image classification, and dangerous goods detection. In this study, we adopt a fine-grained parallel computing programming approach and propose a multiobjective matrix regular optimization algorithm that can simultaneously perform the joint square root, low-rank, and sparse regular optimization for bilinear visual features, which is used to stabilize the higher-order semantic information in bilinear features, improve the generalization ability of features, and apply it to the construction of mental health education models for college students to promote the construction of mental health education bases, improve mental health education network platform, and strengthen the construction of mental health education data platform. A new practical aspect has been added to the abstract. The saliency-guided data augmentation method in this study is an improvement on random data augmentation but reduces the randomness in the data augmentation process and significantly improves the results. The best result belongs to SCutMix data augmentation, which improves by 1.9% compared to the baseline network.

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Section: Application Of Fine-grained Parallel Computing In the Constr...mentioning

confidence: 99%

Construction of a Mental Health Education Model for College Students Based on Fine-Grained Parallel Computing Programming

Zhu

Xue

2022

Mathematical Problems in Engineering

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“…The data was processed with the Bernese software developed at the Astronomical Institute of the University of Bern (AIUB). Detailed descriptions or flow charts of data processing with Bernese can be found in the Bernese manual [8] or other publications [12,14,[16][17][18]. The products were downloaded and used following the website (https://cddis.nasa.gov/Data_and_Derived_Products/GNSS/GNSS_product_holdings.ht ml, Weihai, China, 1 June 2018) and the instruction of Bernese [8].…”

Section: Datamentioning

confidence: 99%

“…Since the data of a global GNSS network may be very large, parallel computation [12,[16][17][18]23] is recommended for such data processing. This can be done by utilizing the Bernese Processing Engine (BPE).…”

Section: Parallel Computationmentioning

confidence: 99%

An Observation Density Based Method for Independent Baseline Searching in GNSS Network Solution

Liu

Du²,

Nie

et al. 2022

Remote Sensing

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With applications such as precise geodetic product generation and reference frame maintenance, the global GNSS network solution is a fundamental problem that has constantly been a focus of concern. Independent baseline search is a prerequisite step of the double-differenced (DD) GNSS network. In this process, only empirical methods are usually used, i.e., the observation-max (OBS-MAX), which allows for obtaining more redundant DD observations, and the shortest-path (SHORTEST), which helps to better eliminate tropospheric and ionospheric errors between stations. Given the possible limitations that neither of the methods can always guarantee baselines of the highest accuracy to be selected, a strategy based on the ‘density’ of common satellites (OBS-DEN) is proposed. It takes the number of co-viewing satellites per unit distance between stations as the criterion. This method ensures that the independent baseline network has both sufficient observations and short baselines. With single-day solutions and annual statistics computed with parallel processing, the method demonstrates that it has the ability to obtain comparable or even higher positioning accuracy than the conventional methods. With a clearer meaning, OBS-DEN can be an option alongside the previous methods in the independent baseline search.

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Performance Assessment of Real-Time Precise Point Positioning Using SSR Corrections

Qiu

Feng

et al. 2020

Lecture Notes in Electrical Engineering

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GNSSer: objected-oriented and design pattern-based software for GNSS data parallel processing

Cited by 11 publications

References 12 publications

Construction of a Mental Health Education Model for College Students Based on Fine-Grained Parallel Computing Programming

Construction of a Mental Health Education Model for College Students Based on Fine-Grained Parallel Computing Programming

An Observation Density Based Method for Independent Baseline Searching in GNSS Network Solution

Performance Assessment of Real-Time Precise Point Positioning Using SSR Corrections

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