scholarly journals CLGBO: An Algorithm for Constructing Highly Robust Coding Sets for DNA Storage

2021 ◽  
Vol 12 ◽  
Author(s):  
Yanfen Zheng ◽  
Jieqiong Wu ◽  
Bin Wang
Keyword(s):  
Deoxyribonucleic Acid ◽  
Storage Capacity ◽  
Storage Process ◽  
Dna Coding ◽  
Robust Coding ◽  
Storage Media ◽  
Mutation Strategy ◽  
Dna Storage ◽  
Gradient Based ◽  
Global Data

In the era of big data, new storage media are urgently needed because the storage capacity for global data cannot meet the exponential growth of information. Deoxyribonucleic acid (DNA) storage, where primer and address sequences play a crucial role, is one of the most promising storage media because of its high density, large capacity and durability. In this study, we describe an enhanced gradient-based optimizer that includes the Cauchy and Levy mutation strategy (CLGBO) to construct DNA coding sets, which are used as primer and address libraries. Our experimental results show that the lower bounds of DNA storage coding sets obtained using the CLGBO algorithm are increased by 4.3–13.5% compared with previous work. The non-adjacent subsequence constraint was introduced to reduce the error rate in the storage process. This helps to resolve the problem that arises when consecutive repetitive subsequences in the sequence cause errors in DNA storage. We made use of the CLGBO algorithm and the non-adjacent subsequence constraint to construct larger and more highly robust coding sets.

scholarly journals Promiscuous molecules for smarter file operations in DNA-based data storage

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Kyle J. Tomek ◽  
Kevin Volkel ◽  
Elaine W. Indermaur ◽  
James M. Tuck ◽  
Albert J. Keung
Keyword(s):  
Data Storage ◽  
Data Access ◽  
Molecular Architecture ◽  
Biomolecular Structure ◽  
Jpeg Images ◽  
Storage Media ◽  
Dna Storage ◽  
Dna Strands ◽  
Background Database ◽  
Organizational Features

AbstractDNA holds significant promise as a data storage medium due to its density, longevity, and resource and energy conservation. These advantages arise from the inherent biomolecular structure of DNA which differentiates it from conventional storage media. The unique molecular architecture of DNA storage also prompts important discussions on how data should be organized, accessed, and manipulated and what practical functionalities may be possible. Here we leverage thermodynamic tuning of biomolecular interactions to implement useful data access and organizational features. Specific sets of environmental conditions including distinct DNA concentrations and temperatures were screened for their ability to switchably access either all DNA strands encoding full image files from a GB-sized background database or subsets of those strands encoding low resolution, File Preview, versions. We demonstrate File Preview with four JPEG images and provide an argument for the substantial and practical economic benefit of this generalizable strategy to organize data.

Electrical resistivity optimization of diamond-like carbon thin film for electrical probe storage application

2016 ◽  
Vol 5 (5) ◽  
Author(s):  
Lei Wang ◽  
Sidi Gong ◽  
Cihui Yang ◽  
Jing Wen
Keyword(s):  
Storage Capacity ◽  
Large Data ◽  
Bottom Layer ◽  
Storage Device ◽  
Diamond Like Carbon ◽  
Storage Devices ◽  
Low Energy Consumption ◽  
Electrical Resistivities ◽  
Electrical Probe ◽  
Global Data

AbstractToday, the total amount of global data has been increasing at a phenomenal rate, and this necessitates the requirement for significant improvement in the storage capacity of current storage devices. Compared with other conventional storage devices, electrical probe memory exhibits several storage superiorities and is considered as the candidate for the next-generation mainstreaming storage device. In this case, to further mitigate the performances of the electrical probe memory, its architecture was previously optimized by simulation while lacking adequate experimental support. Therefore, we measured the electrical resistivities of the diamond-like carbon (DLC) capping and bottom layers by varying the film thickness, sputter power, and sputter pressure to thus establish the physically realistic property values of the DLC film. According to experiments, a 10 nm DLC capping layer with a resistivity of 0.1 Ω·m, and a 30 nm DLC bottom layer with a resistivity of 0.01 Ω·m, which most closely matches the theoretical prediction, are introduced into the originally designed electrical probe memory, and the subsequent recording experiment demonstrated the ability to achieve ultra-high density, large data rate, and ultra-low energy consumption using the redesigned architecture.

Multilevel Optical Data Storage in Eu2+/Ho3+ doped Ba2SiO4 Phosphor with Linear Mapping between Ultraviolet Excitation and Thermoluminescence/Photostimulated Luminescence Response

2021 ◽  
Author(s):  
Mingliang Pan ◽  
Yi Zhong ◽  
Hui Lin ◽  
Hongran Bao ◽  
Lulu Zheng ◽  
...  
Keyword(s):  
Data Storage ◽  
Storage Capacity ◽  
Optical Storage ◽  
Linear Mapping ◽  
Optical Data Storage ◽  
Optical Data ◽  
Photostimulated Luminescence ◽  
Persistent Luminescence ◽  
Ultraviolet Excitation ◽  
Storage Media

Persistent luminescence phosphors are regarded as one of the promising candidates for optical storage media. However, most optical storages using phosphors can only realize single-bit-data recording, limiting the storage capacity....

Expanding DNA storage capacity

Science ◽  
2019 ◽  
Vol 366 (6462) ◽  
pp. 197.4-198
Author(s):  
Steve Mao
Keyword(s):  
Storage Capacity ◽  
Dna Storage

scholarly journals The effects of exhaust gas recirculation on NOx storage pathway

2021 ◽  
Vol 268 ◽  
pp. 01017
Author(s):  
Jin Zhao ◽  
Zhijun Li ◽  
Shilong Li ◽  
Shijin Shuai ◽  
Shiyu Liu ◽  
...  
Keyword(s):  
Storage Capacity ◽  
Gasoline Engine ◽  
Exhaust Gas Recirculation ◽  
Exhaust Gas ◽  
Storage Process ◽  
Lean Burn ◽  
Langmuir Hinshelwood Mechanism ◽  
Nitrate And Nitrite ◽  
Increasing Temperature ◽  
Gas Recirculation

A LNT (lean NOx trap) model coupled with EGR (exhaust gas recirculation) was developed based on the Langmuir–Hinshelwood mechanism to investigate the EGR effects on NOx adsorption pathway of LNT catalysts with temperature changed in range 150℃~550℃. Both the nitrate and nitrite adsorption paths were considered for the NOx storage process in the model as well as the spillover of stored NOx between Ba and Pt sites. The data and validation for modelling were from literatures of predecessors and our previous lean-burn gasoline engine experiment*. The model quantified the contributions of both nitrate route and nitrite route to the NOx storage with change of EGR rate (0%~30%) under raw emission atmosphere from tested gasoline engine. The model captured key feature of different trends of nitrate route and nitrite route with increasing temperature (150℃~550℃) under EGR rate varying from 0% to 25%. The LNT model provided insight of reaction mechanism for interpreting the behaviour of NOx storage with change of GER rate and temperature, which contributed to improve the NOx storage capacity when mapping EGR rate for lean-burn engine and catalyst operation strategy optimization.

scholarly journals Storage scaling management model

2020 ◽  
pp. 43-49
Author(s):  
Boris Sovetov ◽  
Tatiana Tatarnikova ◽  
Ekaterina Poymanova
Keyword(s):  
Machine Learning ◽  
Data Storage ◽  
Hierarchical Structure ◽  
Storage Capacity ◽  
Storage System ◽  
Capacity Management ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Storage Media ◽  
The Hierarchical Structure

Introduction: The implementation of data storage process requires timely scaling of the infrastructure to accommodate the data received for storage. Given the rapid accumulation of data, new models of storage capacity management are needed, which should take into account the hierarchical structure of the data storage, various requirements for file storage and restrictions on the storage media size. Purpose: To propose a model for timely scaling of the storage infrastructure based on predictive estimates of the moment when the data storage media is fully filled. Results: A model of storage capacity management is presented, based on the analysis of storage system state patterns. A pattern is a matrix each cell of which reflects the filling state of the storage medium at an appropriate level in the hierarchical structure of the storage system. A matrix cell is characterized by the real, limit, and maximum values of its carrier capacity. To solve the scaling problem for a data storage system means to predict the moments when the limit capacity and maximum capacity of the data carrier are reached. The difference between the predictive estimatesis the time which the administrator has to connect extra media. It is proposed to calculate the values of the predictive estimates programmatically, using machine learning methods. It is shown that when making a short-term prediction, machine learning methods have lower accuracy than ARIMA, an integrated model of autoregression and moving average. However, when making a long-term forecast, machine learning methods provide results commensurate with those from ARIMA. Practical relevance: The proposed model is necessary for timely allocation of storage capacity for incoming data. The implementation of this model at the storage input allows you to automate the process of connecting media, which helps prevent the loss of data entering the system.

scholarly journals A Review of the Optimisation of Photopolymer Materials for Holographic Data Storage

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Jinxin Guo ◽  
Michael R. Gleeson ◽  
John T. Sheridan
Keyword(s):  
Data Storage ◽  
Storage Capacity ◽  
Holographic Data Storage ◽  
Recording Media ◽  
High Fidelity ◽  
Low Loss ◽  
Storage Media

Photopolymers are very interesting as optically sensitive recording media due to the fact that they are inexpensive, self-processing materials with the ability to capture low-loss, high-fidelity volume recordings of 3D illuminating patterns. We have prepared this paper in part in order to enable the recognition of outstanding issues, which limit in particular the data storage capacity in holographic data storage media. In an attempt to further develop the data storage capacity and quality of the information stored, that is, the material sensitivity and resolution, a deeper understanding of such materials in order to improve them has become ever more crucial. In this paper a brief review of the optimisation of photopolymer materials for holographic data storage (HDS) applications is described. The key contributions of each work examined and many of the suggestions made for the improvement of the different photopolymer material discussed are presented.

Measurement of oxygen storage capacity in automotive catalysts

2003 ◽  
Vol 217 (8) ◽  
pp. 727-733 ◽  
Author(s):  
T Khossusi ◽  
R Douglas ◽  
G McCullough
Keyword(s):  
Storage Capacity ◽  
Theoretical Calculations ◽  
Specific Capacity ◽  
Oxygen Storage Capacity ◽  
Reaction Rates ◽  
Oxygen Storage ◽  
Storage Process ◽  
Experimental Procedure ◽  
Automotive Catalysts ◽  
Series Of Experiments

There is considerable disagreement in the literature on available oxygen storage capacity, and on the reaction rates associated with the storage process, for three-way automotive catalysts. This paper seeks to address the issue of oxygen storage capacity in a clear and precise manner. The work described involved a detailed investigation of oxygen storage capacity in typical samples of automotive catalysts. The capacity has also been precisely defined and estimates have been made of the specific capacity based on catalyst dimensions. A purpose-built miniature catalyst test rig has been assembled to allow measurement of the capacity and the experimental procedure has been developed to ensure accurate measurement. The measurements from the first series of experiments have been compared with the theoretical calculations and good agreement is seen. A second series of experiments allowed the e ect of temperature on oxygen storage capacity to be investigated. This work shows very clearly the large variation of the capacity with temperature.

scholarly journals Driving the scalability of DNA-based information storage systems

2019 ◽  
Author(s):  
Kyle J. Tomek ◽  
Kevin Volkel ◽  
Alexander Simpson ◽  
Austin G. Hass ◽  
Elaine W. Indermaur ◽  
...  
Keyword(s):  
Data Storage ◽  
Storage Systems ◽  
Information Storage ◽  
Maximum Capacity ◽  
Theoretical Maximum ◽  
New Approaches ◽  
File Access ◽  
Storage Media ◽  
Dna Storage ◽  
Address System

ABSTRACTThe extreme density of DNA presents a compelling advantage over current storage media; however, in order to reach practical capacities, new approaches for organizing and accessing information are needed. Here we use chemical handles to selectively extract unique files from a complex database of DNA mimicking 5 TB of data and design and implement a nested file address system that increases the theoretical maximum capacity of DNA storage systems by five orders of magnitude. These advancements enable the development and future scaling of DNA-based data storage systems with reasonable modern capacities and file access capabilities.

The Impact of Supercooling on the Effective Cooling Storage Capacity of Phase-Change Materials in Natural Cooling Application

2009 ◽  
Author(s):  
Jianlei Niu ◽  
Shuo Zhang
Keyword(s):  
Phase Change Materials ◽  
Storage Capacity ◽  
Storage System ◽  
Daily Basis ◽  
Passive Cooling ◽  
Ice Storage ◽  
Latent Heat Storage ◽  
Storage Media ◽  
Building Cooling ◽  
The Impact

Ice storage is currently the dominant cooling energy storage method. To more effectively utilize natural, renewable cooling sources, such as evaporative cooling and sky-radiative cooling, diurnal storage media operated on daily basis at the temperate range between 10 and 20 °C are the most desirable. In this paper, we presented our experimental investigation of micro-encapsulated paraffin slurry as cooling storage media for building cooling applications. The water slurry of micro-encapsulated N-hexadecane with a melting temperature of 18 °C were cooled to 5 °C and heated to 25 °C cyclically in a storage tank of 230 litre, and it was observed that full latent heat storage can only be realized at 5 °C due to supercooling, and the effective cooling storage capacity at the cooling temperature between 5 and 18 °C are obtained, which can be used to for cooling storage system design with various passive cooling possibilities.

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