Junya Itou, Masafumi Itoh, Umito Kuwashima, Ken Okazaki Department of Orthopaedic Surgery, Tokyo Women’s Medical University, Tokyo, Shinjuku-ku 162-8666, JapanCorrespondence: Ken OkazakiDepartment of Orthopaedic Surgery, Tokyo Women’s Medical University, 8-1 Kawada-Cho, Tokyo, Shinjuku-ku 162-8666, JapanTel +81-3-3353-8111Fax +81-3-5269
Emergence of hierarchical modes from deep learning
Large-scale deep neural networks consume expensive training costs, but the training results in less-interpretable weight matrices constructing the networks.Here, we propose a mode decomposition learning that can interpret the weight matrices as a hierarchy of latent modes.These modes are akin to patterns in physics studies of memory networks, but t
A new type of anti-heave semi-submersible drilling platform
A new type of semi-submersible drilling platform is designed.The numerical simulation software is used to analyze the heave response of the new platform in the frequency domain and time domain, and the semi-submersible drilling platforms with double-floating four-column structure and heave plate structure are compared with the new platform.This pap
Solar spectral irradiance variability in cycle 24: observations and models
Utilizing the excellent stability of the Ozone Monitoring Instrument (OMI), we Bike Parts - Tires - 24" characterize both short-term (solar rotation) and long-term (solar cycle) changes of the solar spectral irradiance (SSI) between 265 and 500 nm during the ongoing cycle 24.We supplement the OMI data with concurrent observations from the Global Oz