scholarly journals A New Non-Blocking Validation Protocol for Eager Replication of Databases over a Decentralized P2P Architecture

2019 ◽  
Vol 8 (2S7) ◽  
pp. 575-591
Keyword(s):  
Real Time ◽  
Difficult Problem ◽  
P2p Network ◽  
Nested Transactions

Replicating a database on a decentralized P2P network using the eager approach is a difficult problem, especially since participants (peers) are dynamic on such kinds of networks. A second defect is conflicting transactions executed concurrently by different peers to update the same data. These problems cause the perpetual abortions of transactions so that replicas remain always inconsistent. Thus, this article introduces a new Four-Phase-Commit (4PC) validation protocol that allows the completion of transactions with available peers and recovers unavailable ones when they re-join the network. Nested transactions and distributed voting technique were used to arrive at an algorithm that was implemented with C#. An experimentation scenario has made it possible to measure its performance and has finally revealed that the new algorithm is effective because in real-time it can replicate a large number of records; it can queue the records of the absent peers in order to distribute these updates to them when they become present again

scholarly journals Processing Collections of Geo-Referenced Images for Natural Disasters

2018 ◽  
Vol 18 (03) ◽  
pp. e22
Author(s):  
Fernando Loor ◽  
Veronica Gil-Costa ◽  
Mauricio Marin
Keyword(s):  
High Risk ◽  
Natural Disasters ◽  
Real Time ◽  
Citizen Science ◽  
Emergency Response ◽  
P2p Network ◽  
Limited Time ◽  
Real Time Processing ◽  
Time Processing ◽  
Powerful Mechanism

After disaster strikes, emergency response teams need to work fast. In this context, crowdsourcing has emerged as a powerful mechanism where volunteers can help to process different tasks such as processing complex images using labeling and classification techniques. In this work we propose to address the  problem of how to efficiently process large volumes of georeferenced images using crowdsourcing in the context of high risk such as natural disasters. Research on citizen science and crowdsourcing indicates that volunteers should be able to contribute in a useful way with a limited time to a project, supported by the results of usability studies. We present the design of a platform for real-time processing of georeferenced images. In particular, we focus on the interaction between the crowdsourcing and the volunteers connected to a P2P network.

scholarly journals Facial Expression Analysis by Machine Learning

2010 ◽  
pp. 239-258
Author(s):  
Siu-Yeung Cho ◽  
Teik-Toe Teoh ◽  
Yok-Yen Nguwi
Keyword(s):  
Feature Selection ◽  
Facial Expression ◽  
Real Time ◽  
Facial Expression Recognition ◽  
Classification Performance ◽  
Difficult Problem ◽  
Facial Features ◽  
Expression Recognition ◽  
Real Time Processing ◽  
Good Classification Performance

Facial expression recognition is a challenging task. A facial expression is formed by contracting or relaxing different facial muscles on human face that results in temporally deformed facial features like wide-open mouth, raising eyebrows or etc. The challenges of such system have to address with some issues. For instances, lighting condition is a very difficult problem to constraint and regulate. On the other hand, real-time processing is also a challenging problem since there are so many facial features to be extracted and processed and sometimes, conventional classifiers are not even effective in handling those features and produce good classification performance. This chapter discusses the issues on how the advanced feature selection techniques together with good classifiers can play a vital important role of real-time facial expression recognition. Several feature selection methods and classifiers are discussed and their evaluations for real-time facial expression recognition are presented in this chapter. The content of this chapter is a way to open-up a discussion about building a real-time system to read and respond to the emotions of people from facial expressions.

Distributed real-time nested transactions

1994 ◽  
Vol 27 (2) ◽  
pp. 85-95
Author(s):  
Waqar Hague ◽  
Johnny Wong
Keyword(s):  
Real Time ◽  
Nested Transactions

Implementation of the Fast Median Filtering Algorithm Based on FPGA

2014 ◽  
Vol 513-517 ◽  
pp. 1055-1058
Author(s):  
Jin Lun Li ◽  
Shao Hui Cui ◽  
Ku Nao Guo
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Processing System ◽  
Difficult Problem ◽  
Median Filtering ◽  
Filtering Algorithm ◽  
Functional Simulation ◽  
Real Time Image ◽  
Embedded Image ◽  
Time Image

Real-time image processing has been a difficult problem in embedded image processing system. The traditional MCU could not meet the real-time demand when large volume of data awaited to be proceed. FPGA is an effective driver to achieve real-time parallel processing of data. The implementation rationale and the design of module have been given in this article; and the Hard Software has been truly achieved. At the end of the article, the simulation waveform graph has been obtained by processing functional simulation on algorithm module by using Modelsim software; and the simulation result shows that this design is able to proper functioning and has good application prospects.

Study on Mechanical Automation with Localization for Mobile Robot Based on Color Tag

2013 ◽  
Vol 703 ◽  
pp. 244-248
Author(s):  
Shan Hu ◽  
Li Guo Tian ◽  
Meng Li ◽  
Xing Li Wu
Keyword(s):  
Image Processing ◽  
Mobile Robot ◽  
Real Time ◽  
Difficult Problem ◽  
Processing Method ◽  
Development Platform ◽  
Real Time Image ◽  
Color Identification ◽  
Robot Position ◽  
Time Image

Mechanical Automation is playing an important role in all fields. In the detecting system of robot position, how to increase the robustness of color identification is a difficult problem. To solve this problem, a real-time image processing method based on color training is put forward adopting the development platform of the completely independent robot, which is applied in a kind of detecting system at partial structured environments .The method has been already applied well in the visual detecting system of mobile robot.

Analysis of Wavelet Transform for Interharmonic Measurement

2013 ◽  
Vol 732-733 ◽  
pp. 813-816
Author(s):  
Da Hai Zhang ◽  
Jian He ◽  
Zhi Guang Tian ◽  
Biao Li
Keyword(s):  
Wavelet Transform ◽  
Real Time ◽  
Low Frequency ◽  
Frequency Measurement ◽  
Sampling Frequency ◽  
Difficult Problem ◽  
Measurement Results ◽  
Sampling Window ◽  
The Impact ◽  
Real Time Application

Fast and accurate measurement of interharmonic is a difficult problem. Fourier transform is widely used but it is not suitable for real-time application. Wavelet transform has better real-time performance, but its accuracy needs to be improved, so the paper studies the performance of wavelet transform for interharmonic measurement. By software simulation, it evaluates the impact of interharmonic frequency, sampling window and sampling frequency on the accuracy of interharmonic frequency measurement. Results show that wavelet method doesn’t require long sampling window or high sampling frequency, which makes it easy to be applied, and it can provide better measurement accuracy for high frequency interharmonics than low frequency interharmonics.

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