Application and Research of Data Interface Synchronization on Web Maintenance

2014 ◽  
Vol 1049-1050 ◽  
pp. 1803-1807
Author(s):  
Xiao Yang Liu ◽  
Jian Ping Zhao ◽  
Qing Mei Li ◽  
Wei Wang ◽  
Ran Ding ◽  
...  
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Incremental Maintenance ◽  
Synchronization Mechanism ◽  
Materialized View ◽  
Maintenance System ◽  
Transfer Orbit ◽  
Database Technology ◽  
Orbit Segment ◽  
The Web

To adapt to the changing requirement of task data interface under the situation of far distance, multiple segment, multiple circle, multiple satellite and multi-station visibility for satellite misson in transfer orbit segment, the web incremental maintenance system based on materialized view was achieved through applying incremental maintenance principle, database technology, synchronization mechanism and maintenance proxy, and realizing the synchronization and consistency of data interface about the distributed experiment information surveillance software system. The result shows that web incremental maintenance system can ensure the real-time and consistency of data processing and transmission.

The Design of Data Security Synchronization in the Network of Satellite and Ground Security Management Instrument

2010 ◽  
Vol 439-440 ◽  
pp. 208-214 ◽  
Author(s):  
Qian Mu Li ◽  
Rui Wang ◽  
Jie Yin ◽  
Jun Hou
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Network Performance ◽  
High Efficiency ◽  
Security Management ◽  
Direct Access ◽  
Data Synchronization ◽  
Buffer Size ◽  
Synchronization Mechanism ◽  
Management Instrument

Network security, data management, data synchronization Abstract. The aim of Network of Satellite and Ground Security Management Instrument (NSGMI) is to increase network availability, improve network performance and control operation costs. After analyzing the shortcomings of traditional data synchronization mechanism, this paper reconstructs data processing method to improve communication ability of NSGMI, and provides a solution to guarantee real time and reliable on the application layer. The new mechanism provides buffer areas and operation flows to satisfy the high efficiency of data processing demand and the strong real time request. It solves how to open the buffer size when a direct access changes records.

scholarly journals The real-time big data processing method based on LSTM or GRU for the smart job shop production process

2020 ◽  
Vol 14 ◽  
pp. 174830262096239 ◽  
Author(s):  
Chuang Wang ◽  
Wenbo Du ◽  
Zhixiang Zhu ◽  
Zhifeng Yue
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Production Process ◽  
Real Time ◽  
Job Shop ◽  
Production Data ◽  
Time Data ◽  
Big Data Processing ◽  
The Real ◽  
Data Processing Method

With the wide application of intelligent sensors and internet of things (IoT) in the smart job shop, a large number of real-time production data is collected. Accurate analysis of the collected data can help producers to make effective decisions. Compared with the traditional data processing methods, artificial intelligence, as the main big data analysis method, is more and more applied to the manufacturing industry. However, the ability of different AI models to process real-time data of smart job shop production is also different. Based on this, a real-time big data processing method for the job shop production process based on Long Short-Term Memory (LSTM) and Gate Recurrent Unit (GRU) is proposed. This method uses the historical production data extracted by the IoT job shop as the original data set, and after data preprocessing, uses the LSTM and GRU model to train and predict the real-time data of the job shop. Through the description and implementation of the model, it is compared with KNN, DT and traditional neural network model. The results show that in the real-time big data processing of production process, the performance of the LSTM and GRU models is superior to the traditional neural network, K nearest neighbor (KNN), decision tree (DT). When the performance is similar to LSTM, the training time of GRU is much lower than LSTM model.

The Unbearable Lightness of the Image

2017 ◽  
Vol 10 (2-3) ◽  
pp. 109-132 ◽  
Author(s):  
Donatella Della Ratta
Keyword(s):  
Web 2.0 ◽  
Real Time ◽  
New Technologies ◽  
Political Commitment ◽  
Life Activity ◽  
Bearing Witness ◽  
Ethical Discourse ◽  
The Aesthetic ◽  
The Moment ◽  
The Web

In this essay, I reflect on the aesthetic, political and material implications of filming as a continuous life activity since the beginning of the 2011 uprising in Syria. I argue that the blurry, shaky and pixelated aesthetics of Syrian user-generated videos serve to construct an ethical discourse (Ranciére 2009a; 2013) to address the genesis and the goal of the images produced, and to shape a political commitment to the evidence-image (Didi-Huberman 2008). However, while the unstable visuals of the handheld camera powerfully reconnect, both at a symbolic and aesthetic level, to the truthfulness of the moment of crisis in which they are generated, they fail to produce a clearer understanding of the situation and a counter-hegemonic narrative. In this article, I explore how new technologies have impacted this process of bearing witness and documenting events in real time, and how they have shaped a new understanding of the image as a networked, multiple object connected with the living archive of history, in a permanent dialogue with the seemingly endless flow of data nurtured by the web 2.0.

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