Multimetal-Substituted Epsilon-Iron Oxide ϵ-Ga0.31 Ti0.05 Co0.05 Fe1.59 O3 for Next-Generation Magnetic Recording Tape in the Big-Data Era

2016 ◽  
Vol 55 (38) ◽  
pp. 11403-11406 ◽  
Author(s):  
Shin-ichi Ohkoshi ◽  
Asuka Namai ◽  
Marie Yoshikiyo ◽  
Kenta Imoto ◽  
Kazunori Tamazaki ◽  
...  
Keyword(s):  
Big Data ◽  
Iron Oxide ◽  
Magnetic Recording ◽  
Next Generation ◽  
Recording Tape

Multimetal-Substituted Epsilon-Iron Oxide ϵ-Ga0.31 Ti0.05 Co0.05 Fe1.59 O3 for Next-Generation Magnetic Recording Tape in the Big-Data Era

2016 ◽  
Vol 128 (38) ◽  
pp. 11575-11578 ◽  
Author(s):  
Shin-ichi Ohkoshi ◽  
Asuka Namai ◽  
Marie Yoshikiyo ◽  
Kenta Imoto ◽  
Kazunori Tamazaki ◽  
...  
Keyword(s):  
Big Data ◽  
Iron Oxide ◽  
Magnetic Recording ◽  
Next Generation ◽  
Recording Tape

Advances in magnetic films of epsilon-iron oxide toward next-generation high-density recording media

2021 ◽  
Author(s):  
Hiroko Tokoro ◽  
Asuka Namai ◽  
Shin-ichi Ohkoshi
Keyword(s):  
Iron Oxide ◽  
Magnetic Films ◽  
High Density ◽  
Recording Media ◽  
Next Generation ◽  
Magnetic Recording Media ◽  
Film Performance ◽  
High Density Recording ◽  
Recent Developments ◽  
High Density Magnetic Recording

Recent developments in magnetic films composed of epsilon-iron oxide are introduced. The film performance is studied and improved toward the next-generation of high-density magnetic recording media.

Direct deposition of highly coercive gamma iron oxide thin films for magnetic recording

1993 ◽  
Vol 74 (11) ◽  
pp. 7019-7021 ◽  
Author(s):  
Sandip Dhara ◽  
A. C. Rastogi ◽  
B. K. Das
Keyword(s):  
Thin Films ◽  
Iron Oxide ◽  
Magnetic Recording ◽  
Oxide Thin Films ◽  
Gamma Iron ◽  
Direct Deposition

Big Data Processing and Mining for Next Generation Intelligent Transportation Systems

2013 ◽  
Vol 63 (3) ◽  
Author(s):  
Jelena Fiosina ◽  
Maxims Fiosins, Jörg P. Müller
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Real World ◽  
Intelligent Transportation Systems ◽  
Social Impact ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Optimization Techniques ◽  
Next Generation ◽  
Big Data Processing

The deployment of future Internet and communication technologies (ICT) provide intelligent transportation systems (ITS) with huge volumes of real-time data (Big Data) that need to be managed, communicated, interpreted, aggregated and analysed. These technologies considerably enhance the effectiveness and user friendliness of ITS, providing considerable economic and social impact. Real-world application scenarios are needed to derive requirements for software architecture and novel features of ITS in the context of the Internet of Things (IoT) and cloud technologies. In this study, we contend that future service- and cloud-based ITS can largely benefit from sophisticated data processing capabilities. Therefore, new Big Data processing and mining (BDPM) as well as optimization techniques need to be developed and applied to support decision-making capabilities. This study presents real-world scenarios of ITS applications, and demonstrates the need for next-generation Big Data analysis and optimization strategies. Decentralised cooperative BDPM methods are reviewed and their effectiveness is evaluated using real-world data models of the city of Hannover, Germany. We point out and discuss future work directions and opportunities in the area of the development of BDPM methods in ITS.

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