발간년도 : [2020]
| 논문정보 |
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| 논문명(한글) |
[Vol.15, No.3] A Study on Adaptive Smart Platform for Intelligent Software in Big Data Environment |
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| 논문투고자 |
Jeong-Sig Kim, Jinhong Kim |
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| 논문내용 |
Since smart platform convergence became a main issue of 4th industrial revolution, intelligent software-centric industry has carried out a policy from Internet of Things/Everything, Big Data, Artificial Intelligent, and Deep Learning. Now a day, this highest super technology provide user’s convenience, awareness, adaptation, and reactivity from intelligent software of IT. From their user-oriented service, we could make a great new leap forward to quality of software product. In addition, various convergence system of super national level is being made to stimulate both economy and industry. Nevertheless, it must be considered that the scale of these infrastructures is very large and that the conventional methods of inspecting infrastructures are very fast and time-consuming. These conventional methods are also dangerous for inspection team since the inspectors need to move or even climb on massive infrastructures to inspect places and areas that are difficult to reach. Besides, most conventional inspection methods are visual and the approaches applied are manual. Because of these problems mentioned above, adaptive smart platform and intelligent software have become important issues for users-aspect, industry-side, and Nation-oriented as time goes on. Accordingly, in this research paper, we propose adaptive smart platform that intelligent software have analyze, process, and refinement by big data. This platform is designed based on convergent software framework, such as Hadoop, HDFS and so on architectures utilizes our platform analyze massive data on their field by streamed data processing. |
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