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Survey on Time-Series Human Motion Information Processing using Machine Learning Approach
Taehee Kim,Cheulwoo Ro,Hoyung Lee 한국정보통신학회 2018 2016 INTERNATIONAL CONFERENCE Vol.10 No.1
Humans have an ability to convey information using their body motions. Strong research activities in recognition and generation of body motions can be found in the machine learning research community. Recently, as deep learning solves many difficult problems, researchers apply deep learning approaches to human body motion information processing as well. We summarize and discuss human body motion information processing and generation that use machine learning approaches with a focus on deep learning. We find it interesting that highly abstract human behavior using body motions could be tackled using deep learning approaches.
VCPU-PCPU Mapping with Various Selection Permission in Cloud Computing
Ziyu Fang,Cheulwoo Ro 한국정보통신학회 2018 2016 INTERNATIONAL CONFERENCE Vol.10 No.1
The effective allocation of resources is important in the virtual system. This paper mainly describes the different processing power, how to carry out the effective allocation of resources and performance analysis in models with selectable permissions and fully free random allocation of resources. The PCPUs have different processing speed, and the VCPUs have the different number of cores in order to simulate the real environment. Compared with VCPU-PCPU mapping with full selection permission, VCPU-PCPU mapping with various selection permission is more efficient and stable in most cases.