Results 11 to 20 of about 857,916 (274)

Smart Augmentation - Learning an Optimal Data Augmentation Strategy [PDF]

, 2017
A recurring problem faced when training neural networks is that there is typically not enough data to maximize the generalization capability of deep neural networks(DNN).
Bazrafkan, Shabab, Corcoran, Peter, Lemley, Joseph   +2 more
core   +2 more sources

Development of a Strain Sensor Matrix on Mobilized Flexible Substrate for the Imaging of Wind Pressure Distribution

Micromachines, 2020
This paper presents a novel flexible sensor for monitoring wind pressure distribution. Based on the concept of “flexible mechatronics”, a suspended structure was incorporated into the matrix of a resistive-strain sensor in a plastic film to ...
Shusuke Kanazawa, Hirobumi Ushijima
doaj   +1 more source

Micro-Doppler Radar Gait Measurement to Detect Age- and Fall Risk-Related Differences in Gait: A Simulation Study on Comparison of Deep Learning and Gait Parameter-Based Approaches

IEEE Access, 2021
This paper describes the application of micro-Doppler radar (MDR) to gait classification based on fall risk-related differences using deep learning and gait parameter-based approaches.
Kenshi Saho, Keitaro Shioiri, Masahiro Fujimoto, Yoshiyuki Kobayashi   +3 more
doaj   +1 more source

Data augmentation and semi-supervised learning for deep neural networks-based text classifier [PDF]

, 2020
User feedback is essential for understanding user needs. In this paper, we use free-text obtained from a survey on sleep-related issues to build a deep neural networks-based text classifier.
Devlin Jacob, Lee Dong-Hyun, Liu Yinhan, Sorower Mohammad S, Wei Jason W, Wu Yuxiang   +5 more
core   +1 more source

Identification of characteristics of foot position and angle during swing phase in fallers using principal component analysis

Frontiers in Bioengineering and Biotechnology, 2023
Identifying the characteristics of fallers is important for preventing falls because such events may reduce quality of life. It has been reported that several variables related to foot positions and angles during gait (e.g., sagittal foot angle and ...
Takuma Inai, Yoshiyuki Kobayashi, Chenhui Huang, Koji Fujita, Masahiro Fujimoto, Fumiyuki Nihey, Akiko Yamamoto, Kanako Nakajima, Kentaro Nakahara, Gaku Kutsuzawa, Kenichiro Fukushi, Shoma Kudo   +11 more
doaj   +1 more source

Nonlinear piezo-inkjet equivalent circuit modeling for predicting ink ejection velocity fluctuation caused by meniscus oscillation

AIP Advances, 2020
This study used an equivalent circuit model to collectively analyze the oscillation phenomena inside a piezo-inkjet printhead as an electrical oscillation.
Yasunori Yoshida, Konami Izumi, Hirobumi Ushijima   +2 more
doaj   +1 more source

Janus regulation of ice growth by hyperbranched polyglycerols generating dynamic hydrogen bonding

Nature Communications, 2022
Regulation of ice growth and ice growth inhibition are critical and different materials mimicking anti freeze proteins or ice binding surfaces have been developed. Here, the authors combine both concepts in a hyperbranched polyglycerols to change the ice
Sang Yup Lee, Minseong Kim, Tae Kyung Won, Seung Hyuk Back, Youngjoo Hong, Byeong-Su Kim, Dong June Ahn   +6 more
doaj   +1 more source

Experimental Verification of Micro-Doppler Radar Measurements of Fall-Risk-Related Gait Differences for Community-Dwelling Elderly Adults

Sensors, 2022
In a previous study, we developed a classification model to detect fall risk for elderly adults with a history of falls (fallers) using micro-Doppler radar (MDR) gait measurements via simulation.
Kenshi Saho, Masahiro Fujimoto, Yoshiyuki Kobayashi, Michito Matsumoto   +3 more
doaj   +1 more source

A framework for deflated and augmented Krylov subspace methods [PDF]

, 2013
We consider deflation and augmentation techniques for accelerating the convergence of Krylov subspace methods for the solution of nonsingular linear algebraic systems.
André Gaul, Fletcher R., Jörg Liesen, Martin H. Gutknecht, Reinhard Nabben   +4 more
core   +3 more sources

Simulation study of deep-learning-based gait classification of young/elderly adults using Doppler radar

Measurement: Sensors, 2021
Deep-learning-based gait classification of young and elderly adults using micro-Doppler radar (MDR) is presented in this paper. The MDR signal data were accurately simulated using an open motion-capture gait dataset, and deep-learning classification of ...
Toshiyuki Hoshiga, Kenshi Saho, Keitaro Shioiri, Masahiro Fujimoto, Yoshiyuki Kobayashi   +4 more
doaj   +1 more source