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Weitong Yi,Lingxiao Zuo,Tianxi Chen,Mei Wang,Hailin Sun,Lei Zhu,Xi Chen 한국강구조학회 2022 International Journal of Steel Structures Vol.22 No.6
A new elliptical one-sided bolt was applied for connection of the steel square tubular column and the I-shaped beam joint. This new bolt is simple in structure and easy to install. Besides, as the bolt head and bolt hole are both elliptical, the new one is quite diff erent from the traditional circular bolts lacking bending performance studies of the joint. Therefore, experiments and fi nite element analysis on ultimate bearing capacity of the joint were conducted, monotonic static loading of six joint specimens were tested, and the moment-rotation curves were obtained in this study. The eff ects of various factors such as axial load ratio and bolt size on bearing capacity were analyzed. Finite element simulation was carried out, and it fi tted tests well. Both tests and simulation showed that failure mode of joints is fi rstly yielding at the endplate. The larger the bolt size, the better the joint ultimate bearing capacity can be enhanced. The M16 group indicated a pattern that the larger axial load on column, the less of ultimate bearing capacity of the joint. However, the M20 group comes to a diff erent pattern which contradicts the assumption, thus further studies are needed in this regard.
DNALS : A Recommendation Algorithm Based on Chinese Vocabulary Emotion Analysis of Songs
Chengzhou Fu,Weiquan Zeng,Yong Tang,Lingxiao Chen,Jingmin Wei 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.9
The lyrics play important roles in emotion expression of songs, as well as the emotion words of the lyrics reveal the emotion theme of songs. By extracting the lyrics’ emotion information, this paper uses songs’ emotion themes as the recommended standard. We get all kinds of emotion information extraction coefficient combining emotion gene sequences of lyrics which named DNALS (DNA for Lyrics of Songs), and then put forward the DNALS recommendation algorithm based on emotion analysis. By analyzing the emotion information of user’s historical music data, we recommend to the user a list of songs with similar themes emotion, so as to help the users to find songs for mood.