One-Class Strategies for Security Information Detection

2006 ◽  
pp. 171-172
Author(s):  
Qing Tao ◽  
Gao-wei Wu ◽  
Jue Wang
Keyword(s):  
Information Detection ◽  
Security Information

A Walk through Various Data Hiding Techniques

2017 ◽  
Vol 7 (8) ◽  
pp. 52
Author(s):  
Manoj Kumar ◽  
Rohit Tanwar
Keyword(s):  
Data Hiding ◽  
Data Framework ◽  
Web Information ◽  
Fundamental Part ◽  
Secure Information ◽  
Numerous Data ◽  
Security Information ◽  
Security Procedures

In the computerized age as a result of the broad utilization of web, information covering up in advanced symbolism assumes a fundamental part to guarantee copyright assurance and power from pernicious assaults. Today the exponential development in web clients request secure information correspondence, for that it is required to send the information as encoded or shrouded shape. Numerous data framework security procedures are accessible.Information transmission needs security. Information covering up can be accomplished through numerous techniques. Distinctive information concealing procedures are talked about in this paper which incorporates watermarking, steganography, fingerprinting, cryptography and advanced mark.

scholarly journals Rock Particle Motion Information Detection Based on Video Instance Segmentation

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4108
Author(s):  
Man Chen ◽  
Maojun Li ◽  
Yiwei Li ◽  
Wukun Yi
Keyword(s):  
Loss Function ◽  
Particle Motion ◽  
Numerical Models ◽  
Major Axis ◽  
Angular Distance ◽  
Motion Information ◽  
Vibration Load ◽  
Rock Particle ◽  
Information Detection ◽  
Instance Segmentation

The detection of rock particle motion information is the basis for revealing particle motion laws and quantitative analysis. Such a task is crucial in guiding engineering construction, preventing geological disasters, and verifying numerical models of particles. We propose a machine vision method based on video instance segmentation (VIS) to address the motion information detection problem in rock particles under a vibration load. First, we designed a classification loss function based on Arcface loss to improve the Mask R-CNN. This loss function introduces an angular distance based on SoftMax loss that distinguishes the objects and backgrounds with higher similarity. Second, this method combines the abovementioned Mask R-CNN and Deep Simple Online and Real-time Tracking (Deep SORT) to perform rock particle detection, segmentation, and tracking. Third, we utilized the equivalent ellipse characterization method for segmented particles, integrating with the proportional calibration algorithm to test the translation and detecting the rotation by calculating the change in the angle of the ellipse’s major axis. The experimental results show that the improved Mask R-CNN obtains an accuracy of 93.36% on a self-created dataset and also has some advantages on public datasets. Combining the improved Mask R-CNN and Deep SORT could fulfill the VIS with a low ID switching rate while successfully detecting movement information. The average detection errors of translation and rotation are 5.10% and 14.49%, respectively. This study provides an intelligent scheme for detecting movement information of rock particles.

scholarly journals Blockchain Technology for Secure Accounting Management: Research Trends Analysis

Mathematics ◽  
2021 ◽  
Vol 9 (14) ◽  
pp. 1631
Author(s):  
Emilio Abad-Segura ◽  
Alfonso Infante-Moro ◽  
Mariana-Daniela González-Zamar ◽  
Eloy López-Meneses
Keyword(s):  
Human Error ◽  
Economic Sectors ◽  
Blockchain Technology ◽  
Digital Storage ◽  
Accounting Management ◽  
Research Investment ◽  
Security Information Management ◽  
Security Information ◽  
Mathematical Techniques ◽  
The Internet Of Things

The scope of blockchain technology, initially associated with the cryptocurrency Bitcoin, is greater due to the multiple applications in various disciplines. Its use in accounting lies mainly in the fact that it reduces risks and the eventuality of fraud, eliminates human error, promotes efficiency, and increases transparency and reliability. This means that different economic sectors assume it as a recording and management instrument. The aim is to examine current and emerging research lines at a global level on blockchain technology for secure accounting management. The evolution of the publication of the number of articles between 2016 and 2020 was analyzed. Statistical and mathematical techniques were applied to a sample of 1130 records from the Scopus database. The data uncovered a polynomial trend in this period. The seven main lines of work were identified: blockchain, network security, information management, digital storage, edge computing, commerce, and the Internet of Things. The ten most outstanding emerging research lines are detected. This study provides the past and future thematic axes on this incipient field of knowledge, which is a tool for decision-making by academics, researchers, and directors of research investment programs.

scholarly journals Road Information Detection Method Based on Deep Learning

2021 ◽  
Vol 1827 (1) ◽  
pp. 012181
Author(s):  
Shangsheng Zheng ◽  
Jiangzhou Zhang ◽  
Xiaobo Che ◽  
Yanqiang Li
Keyword(s):  
Deep Learning ◽  
Detection Method ◽  
Information Detection
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