• Proceedings of the IEEK Conference
• /
• 2003.07d
• /
• pp.1633-1636
• /
• 2003

In this paper, we developed the scheme to grow to use newly added disk space without having to kill the application, unmount file system. This scheme, called online resizing, can resize the file system layout with the advent of Logical Volume Manager. The online resizing scheme is designed and implemented in linux cluster system where multiple hosts share the disk data in storage area network environment. It is incorporated with SANfs shared file system and can perform resizing technique with SANfs-VM volume manager. The experimental result shows that it can maximize the availability and capacity of the SANfs system which are important for modem servers where must not lose their customer.

• International Journal of Computer Science & Network Security
• /
• v.22 no.9
• /
• pp.316-326
• /
• 2022

The prompt development in the field of video is the outbreak of online services which replaces the television media within a shorter period in gaining popularity. The online videos are encouraged more in use due to the captions displayed along with the scenes for better understandability. Not only entertainment media but other marketing companies and organizations are utilizing videos along with captions for their product promotions. The need for captions is enabled for its usage in many ways for hearing impaired and non-native people. Research is continued in an automatic display of the appropriate messages for the videos uploaded in shows, movies, educational videos, online classes, websites, etc. This paper focuses on two concerns namely the first part dealing with the machine learning method for preprocessing the videos into frames and resizing, the resized frames are classified into multiple actions after feature extraction. For the feature extraction statistical method, GLCM and Hu moments are used. The second part deals with the deep learning method where the CNN architecture is used to acquire the results. Finally both the results are compared to find the best accuracy where CNN proves to give top accuracy of 96.10% in classification.

• Proceedings of the Korean Information Science Society Conference
• /
• 2002.10c
• /
• pp.718-720
• /
• 2002

본 논문에서는 대용량 공유 파일시스템의 자원을 효율적으로 관리할 수 있는 볼륨 관리기에 대해서 제안하고 리눅스 상에 구현을 해 보았다. SANfs[5]는 Storage Area Network(SAN)의 대용량 저장장치를 지원할 수 있도록 제안하고 구현된 확장성 있는 공유 파일 시스템이다. SANfs의 자원을 효율적으로 이용하기 위해서 저장장치들을 효율적으로 관리할 수 있는 도구가 필요하게 되었고, 이 논문에서 SANfs의 구조에 적합한 볼륨 관리기인 SANfs-VM을 새롭게 제안하고 구현하였다. SANfs-VM은 SANfs의 엔터프라이즈 컴퓨팅을 위해서 다양한 레벨의 RAID, online /resizing/reconfiguration 등의 기능을 제공함으로써 SANfs 저장장치의 확장성, 가용성을 향상시켰다. 또한 SANfs-VM은 저장 장치 시스템의 관리를 쉽게 함으로써 easy management 기능을 증진시켰다.