• Title/Summary/Keyword: 손수제작물

Search Result 3, Processing Time 0.017 seconds

Musical Instrument Recognition for the Categorization of UCC Music Source (UCC 음원분류를 위한 연주악기 분류에 대한 연구)

  • Kwon, Soon-Il;Park, Wan-Joo
    • The KIPS Transactions:PartB
    • /
    • v.17B no.2
    • /
    • pp.107-114
    • /
    • 2010
  • A guitar, a piano, and a violin are popular musical instruments for User Created Contents(UCC). However the patterns of audio signal generated by a guitar and a piano are too similar to differentiate. The difference between two musical instruments can be found by analyzing the frequency variation per each band near signal peaks. The distribution of probability on the existence of signal peaks based on Cumulative Histogram were applied to musical instrument recognition. Experiments with statistical models of the frequency variation per each band near signal peaks showed the 14% improvement of musical instrument recognition.

A research for Social Learning method of using Social Media (소셜 미디어를 활용한 소셜 러닝 체제 연구)

  • Chang, Il-Su;Hong, Myung-Hui
    • 한국정보교육학회:학술대회논문집
    • /
    • 2011.01a
    • /
    • pp.233-240
    • /
    • 2011
  • Social Media is the open online tool and media platform for sharing and participation of users opinion, experience, viewpoiont, so general situation that is one-side flowing from production to consume doesn't act, and while use of two-way, user create contents use of sharing and participation. This social media include Blog, Social Network Service(SNS), Wiki, User Create Contents(UCC), Micro Blog, 5 types. In broad terms, Social Learning is self-learning that user sharing with coperation and collective intelligence through Social Media, and in few wards Social Learning is learning for Social Media. In this research, we define Social Media and Social Learning, and research of method of use of Elementary Education.

  • PDF

A Study on the Knowledge Formation Process of Wikipedia in Korea through Big Data Analysis (빅데이터 분석을 통해 본 한국 위키피디아의 지식형성 과정에 관한 연구)

  • Lee, Jungyeoun;Jeon, Suhyeon
    • Journal of the Korean Society for information Management
    • /
    • v.37 no.2
    • /
    • pp.171-195
    • /
    • 2020
  • This study analyzed the collaborative process in time series by dismantling the edit log big data of Wikipedia Korea, a representative online collaboration community, from early 2002 to 2019. Analysis elements were extracted from the document edit records, formatted in standardized XML, and analyzed using Python and R. The ways of editors' contribution, the characteristics of data contents, and the trend of document creation were explained by the analysis. An active contribution of a small set of editors and a loose participation of the majority were revealed. In addition, sociocultural characteristics that appear in online communities were also found in Wikipedia Korea. A new, diverse set of external resources is necessary to sustain the collective intelligence. An effort to settle new editors into the wikipedia community and an openness through circulation structure to avoid the exclusiveness of the management group are suggested.