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An organization that has a lot of personal data can create a deep neural network (DNN), which predicts sensitive attribute values such as the salary and diseases of people based on other attribute values such as age and hobbies. Moreover, by putting this data on the Cloud and providing the functionality of the DNN to other organizations, they can obtain new knowledge and can subsequently create new...
To evaluate capacity of the elderly body and the extremities, we developed a measurement system for thigh cross-sectional image. The cross-sectional images were suitable for observing muscle volume. Some previous studies estimated muscular strength based on muscle volume measured the medical images. However there were no studies that used information regarding proportion in human extremities, e. g...
Nitrogen (N) is one of nutrient required by plant in huge amounts. N availability of plant is needed to be estimated before applying fertilizers to determine proper N application rate. The purpose of this study is to estimate N of paddy (Oryza sativa, sp.) based on leaf reflectance using Artificial Neural Network (ANN). In this study, 45 leaf samples were randomly selected under various environmental...
For equinovarus, a foot condition commonly suffered as a side effect of stroke, sustained muscle stretching is the primary form of treatment, most of which is manually performed by physical therapists (PTs). It is important to identify variations in the execution of manual stretching techniques by PTs for the standardization of therapeutic techniques. In this study, manual stretching motions performed...
It is indispensable for physical therapists in training to experience various symptoms during their period of education; however, such chances are limited in educational institutions. We developed a prototype of a wearable dummy-robot system to simulate equinovarus, which is a typical disorder of the foot caused by stroke, to enhance the training of physical therapists (PTs). This wearable dummy system...
This paper proposes a new hybrid structure combining feedforward control and feedback control for active noise cancellation, and presents new adaptive algorithms for updating the coefficients of the two controllers. A stability-assured adaptive algorithm is investigated on the assumption that the secondary path dynamics is known, and further a fully adaptive algorithm is also given even when the secondary...
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