GaN Materials Nanostructures Growth Control in the Epitaxial Units

2017 ◽  
Vol 265 ◽  
pp. 627-630 ◽  
Author(s):  
A. Zhilenkov

The article overviews the results of the research into the peculiarities of GaN and AlGaN epitaxy from metal organic compounds, the influence of its peculiarities on the formation of GaN epitaxial layers and gives recommendations on the development of new methods for GaN epitaxial growth as well as on the research how they impact the characteristics of grown layers. The use of such semi-conductors allows obtaining full-color RGB light sources, increasing record density of a digital data storage device, getting high-capacity and efficient sources of white light. The electronic properties of such semi-conductors allow using them as a basis for high-power and high-frequency transistors and other electronic devices the specifications of which are competitive with those of SiC-based devices.

Author(s):  
Musa Mikailovich Lyanov

This article is dedicated to definition of the term virtual traces in forensics. The author determined the peculiarities of virtual traces, which allowed giving definition to the traces on digital data storage devices. It is noted, the forensic science does not have a universal terminology for definition of traces left as a result of cybercrimes. Solution of this problem remains extremely important, as it would assist the advancement of the theory and practice of forensics in the indicated field. The author analyzed the case law for the purpose of determining peculiarities of utilization of terminology to describe traces detected in the course of studying digital data storage devices. The conclusion is made that most common and suitable term is “virtual traces”. The definition of the concept in questions was proposed leaning on the analysis of peculiarities of virtual traces and mechanism of their emergence on digital data storage devices. Thus, virtual trace is determined as varied in structure, special type of material traces that exists within the limits of digital data storage device and directly tied with it, as well as can be decoded only using special software and technical means.


2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Pavani Yashodha De Silva ◽  
Gamage Upeksha Ganegoda

With the exponential growth in the capacity of information generated and the emerging need for data to be stored for prolonged period of time, there emerges a need for a storage medium with high capacity, high storage density, and possibility to withstand extreme environmental conditions. DNA emerges as the prospective medium for data storage with its striking features. Diverse encoding models for reading and writing data onto DNA, codes for encrypting data which addresses issues of error generation, and approaches for developing codons and storage styles have been developed over the recent past. DNA has been identified as a potential medium for secret writing, which achieves the way towards DNA cryptography and stenography. DNA utilized as an organic memory device along with big data storage and analytics in DNA has paved the way towards DNA computing for solving computational problems. This paper critically analyzes the various methods used for encoding and encrypting data onto DNA while identifying the advantages and capability of every scheme to overcome the drawbacks identified priorly. Cryptography and stenography techniques have been analyzed in a critical approach while identifying the limitations of each method. This paper also identifies the advantages and limitations of DNA as a memory device and memory applications.


2018 ◽  
Vol 6 (3) ◽  
pp. 359-363
Author(s):  
A. Saxena ◽  
◽  
S. Sharma ◽  
S. Dangi ◽  
A. Sharma ◽  
...  

1998 ◽  
Author(s):  
Kai-Oliver Mueller ◽  
Cornelia Denz ◽  
Torsten Rauch ◽  
Thorsten Heimann ◽  
J. Trumpfheller ◽  
...  

Author(s):  
Huan Liu

The amounts of data become increasingly large in recent years as the capacity of digital data storage worldwide has significantly increased. As the size of data grows, the demand for data reduction increases for effective data mining. Instance selection is one of the effective means to data reduction. This article introduces basic concepts of instance selection, its context, necessity and functionality. It briefly reviews the state-of-the-art methods for instance selection. Selection is a necessity in the world surrounding us. It stems from the sheer fact of limited resources. No exception for data mining. Many factors give rise to data selection: data is not purely collected for data mining or for one particular application; there are missing data, redundant data, and errors during collection and storage; and data can be too overwhelming to handle. Instance selection is one effective approach to data selection. It is a process of choosing a subset of data to achieve the original purpose of a data mining application. The ideal outcome of instance selection is a model independent, minimum sample of data that can accomplish tasks with little or no performance deterioration.


2007 ◽  
Vol 43 (3) ◽  
pp. 1101-1111 ◽  
Author(s):  
Sebastien Tosi ◽  
Martin Power ◽  
Thomas Conway

Sign in / Sign up

Export Citation Format

Share Document