scholarly journals Simultaneously achieving high capacity storage and multilevel anti-counterfeiting using electrochromic and electrofluorochromic dual-functional AIE polymers

2021 ◽  
Author(s):  
Lin Lu ◽  
Kaojin Wang ◽  
Haozhong Wu ◽  
Anjun Qin ◽  
Ben Zhong Tang
Keyword(s):  
Big Data ◽  
High Capacity ◽  
Information Storage ◽  
Dual Functional

With the advent of the big data era, information storage and security are becoming increasingly important. However, high capacity information storage and multilevel anti-counterfeiting are typically difficult to simultaneously achieve....

scholarly journals Simultaneously Achieving High Capacity Storage and Multilevel Anti-Counterfeiting Using Electrochromic and Electrofluorochromic Dual-Functional AIE Polymers

2021 ◽  
Author(s):  
Lin Lu ◽  
Kaojin Wang ◽  
Haozhong Wu ◽  
Anjun Qin ◽  
Ben Zhong Tang
Keyword(s):  
Color Change ◽  
Dimensional Space ◽  
High Capacity ◽  
Information Storage ◽  
Great Promise ◽  
Security Technology ◽  
Color Code ◽  
Display Devices ◽  
Dual Functional ◽  
Multidimensional Information

With the advent of the big data era, information storage and security are becoming increasingly important. However, high capacity information storage and multilevel anti-counterfeiting are typically difficult to simultaneously achieve. To address this challenge, herein, two electrochromic and electrofluorochromic dual-functional polymers with aggregation-induced emission (AIE) features are skillfully designed. Upon application of voltage, the absorption and fluorescence spectra of the two polymers can undergo reversible changes, accompanying with the variation of appearance color and emission. By utilizing the controllable characteristics of polymers, the dual-mode display devices are fabricated via a simple spraying method. More interestingly, the color code device was elaborately constructed by adding color change multiplexing to two-dimensional space, thereby achieving high capacity information storage. Moreover, the color code device can also be applied in the multilevel anti-counterfeiting areas. The encrypted information can be dynamically converted under different voltages. The AIE polymers show great promise in the applications of multidimensional information storage and dynamic anti-counterfeiting and the design strategy may provide a new path for advanced information storage and high security technology.<br><div><br></div>

scholarly journals Simultaneously Achieving High Capacity Storage and Multilevel Anti-Counterfeiting Using Electrochromic and Electrofluorochromic Dual-Functional AIE Polymers

2021 ◽  
Author(s):  
Lin Lu ◽  
Kaojin Wang ◽  
Haozhong Wu ◽  
Anjun Qin ◽  
Ben Zhong Tang
Keyword(s):  
Color Change ◽  
Dimensional Space ◽  
High Capacity ◽  
Information Storage ◽  
Great Promise ◽  
Security Technology ◽  
Color Code ◽  
Display Devices ◽  
Dual Functional ◽  
Multidimensional Information

With the advent of the big data era, information storage and security are becoming increasingly important. However, high capacity information storage and multilevel anti-counterfeiting are typically difficult to simultaneously achieve. To address this challenge, herein, two electrochromic and electrofluorochromic dual-functional polymers with aggregation-induced emission (AIE) features are skillfully designed. Upon application of voltage, the absorption and fluorescence spectra of the two polymers can undergo reversible changes, accompanying with the variation of appearance color and emission. By utilizing the controllable characteristics of polymers, the dual-mode display devices are fabricated via a simple spraying method. More interestingly, the color code device was elaborately constructed by adding color change multiplexing to two-dimensional space, thereby achieving high capacity information storage. Moreover, the color code device can also be applied in the multilevel anti-counterfeiting areas. The encrypted information can be dynamically converted under different voltages. The AIE polymers show great promise in the applications of multidimensional information storage and dynamic anti-counterfeiting and the design strategy may provide a new path for advanced information storage and high security technology.<br><div><br></div>

scholarly journals Big Data for Health Care Analytics using Extreme Machine Learning Based on Map Reduce

2020 ◽  
Vol 9 (3) ◽  
pp. 2758-2762
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Data Storage ◽  
Clinical Data ◽  
Disease Risk ◽  
Learning Algorithm ◽  
Information Storage ◽  
Support Vector ◽  
Machine Learning Algorithm ◽  
Data Set

A large volume of datasets is available in various fields that are stored to be somewhere which is called big data. Big Data healthcare has clinical data set of every patient records in huge amount and they are maintained by Electronic Health Records (EHR). More than 80 % of clinical data is the unstructured format and reposit in hundreds of forms. The challenges and demand for data storage, analysis is to handling large datasets in terms of efficiency and scalability. Hadoop Map reduces framework uses big data to store and operate any kinds of data speedily. It is not solely meant for storage system however conjointly a platform for information storage moreover as processing. It is scalable and fault-tolerant to the systems. Also, the prediction of the data sets is handled by machine learning algorithm. This work focuses on the Extreme Machine Learning algorithm (ELM) that can utilize the optimized way of finding a solution to find disease risk prediction by combining ELM with Cuckoo Search optimization-based Support Vector Machine (CS-SVM). The proposed work also considers the scalability and accuracy of big data models, thus the proposed algorithm greatly achieves the computing work and got good results in performance of both veracity and efficiency.

E-Commerce Security Research in Big Data Environment

2021 ◽  
pp. 1476-1490
Author(s):  
Mei Zhang ◽  
Huan Liu ◽  
Jinghua Wen
Keyword(s):  
Big Data ◽  
Electronic Commerce ◽  
Rapid Development ◽  
Security System ◽  
Information Storage ◽  
New Era ◽  
Security Research ◽  
Distributed Platform ◽  
Data Environment ◽  
Electronic Commerce Security

Rapid development of e-commerce and mobile communication opens a new era of big data. In this article, the authors put big data and e-commerce security together. They construct electronic commerce security system from these aspects: the creation of database, the security of information storage, the mining of information based on big data environment thoroughly. The second-generation product distributed platform- Apache Hadoop which is more popular and instant has been brought in. what's more, this article expounds the structure and working process. On the base of this platform, this article analyses the certainty and security of e-commerce transactions data developed on the condition of big data. It puts forward a construction view that people should guide and monitor the behavior of e-commerce, and improve the security system of electronic commerce on the base of data.

scholarly journals Three-Dimensionally Ordered Macroporous ZnO Framework as Dual-Functional Sulfur Host for High-Efficiency Lithium–Sulfur Batteries

Nanomaterials ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 2267
Author(s):  
Haisheng Han ◽  
Tong Wang ◽  
Yongguang Zhang ◽  
Arailym Nurpeissova ◽  
Zhumabay Bakenov
Keyword(s):  
High Efficiency ◽  
High Capacity ◽  
Active Surface ◽  
Active Surface Area ◽  
Shuttle Effect ◽  
Dual Functional ◽  
Lithium Sulfur Batteries ◽  
Sulfur Host ◽  
Ordered Macroporous ◽  
Lithium Sulfur

A three-dimensionally ordered macroporous ZnO (3DOM ZnO) framework was synthesized by a template method to serve as a sulfur host for lithium–sulfur batteries. The unique 3DOM structure along with an increased active surface area promotes faster and better electrolyte penetration accelerating ion/mass transfer. Moreover, ZnO as a polar metal oxide has a strong adsorption capacity for polysulfides, which makes the 3DOM ZnO framework an ideal immobilization agent and catalyst to inhibit the polysulfides shuttle effect and promote the redox reactions kinetics. As a result of the stated advantages, the S/3DOM ZnO composite delivered a high initial capacity of 1110 mAh g−1 and maintained a capacity of 991 mAh g−1 after 100 cycles at 0.2 C as a cathode in a lithium–sulfur battery. Even at a high C-rate of 3 C, the S/3DOM ZnO composite still provided a high capacity of 651 mAh g−1, as well as a high areal capacity (4.47 mAh cm−2) under high loading (5 mg cm−2).

scholarly journals A MANAGEMENT OF REMOTE SENSING BIG DATA BASE ON STANDARD METADATA FILE AND DATABASE MANAGEMENT SYSTEM

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 653-657
Author(s):  
H. Wu ◽  
K. Fu
Keyword(s):  
Remote Sensing ◽  
Big Data ◽  
Management System ◽  
Database Management ◽  
High Capacity ◽  
Remote Sensing Data ◽  
Large Data ◽  
Remote Sensing Image ◽  
Database Management System ◽  
Metadata Standard

Abstract. As a kind of information carrier which is high capacity, remarkable reliability, easy to obtain and the other features，remote sensing image data is widely used in the fields of natural resources survey, monitoring, planning, disaster prevention and the others (Huang, Jie, et al, 2008). Considering about the daily application scenario for the remote sensing image in professional departments, the demand of usage and management of remote sensing big data is about to be analysed in this paper.In this paper, by combining professional department scenario, the application of remote sensing image analysis of remote sensing data in the use and management of professional department requirements, on the premise of respect the habits, is put forward to remote sensing image metadata standard for reference index, based on remote sensing image files and database management system, large data serialization of time management methods, the method to the realization of the design the metadata standard products, as well as to the standard of metadata content indexed storage of massive remote sensing image database management.

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