C-RECS （Creative Repository of Electro-Communications)
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Physical reservoir application of random network of gold nanoparticles fabricated by multi-step immersion in gold colloidal solution
Get PDFWe fabricated a random network of gold nanoparticles (RN-GNPs) over 12 NiCr/Au electrodes by using a multi-step immersion method, where a sample was immersed in a gold colloid solution three times. Nonlinear current–voltage characteristics due to the Coulomb blockade were observed at 77 K. For demonstration of physical reservoir applications, input–output characteristics of the RN-GNPs were also measured in a one-input, nine-output terminal configuration. Distorted output voltage waveforms were obtained for a sinusoidal voltage input of 100 Hz. The higher-order harmonic components were confirmed in the frequency spectra of the outputs. The waveform reconstruction task and short-term storage capacity estimation were performed by an echo state network model with ridge regression and linear regression, respectively.journal articl
Prediction of BPSD using environmental and vital sensor data
Get PDFBehavioral and psychological symptoms of dementia (BPSD) that develop in patients in nursing homes or living at home impose a heavy burden on caregivers and family members.In this study, we collect data from environmental and vital sensors at multiple nursing homes. Based on the data, we propose a BPSD prediction method using gradient boosting trees, a machine learning technique. An evaluation experiment, using data gathered over approximately 10 months, achieved an AUC of 0.7217 for the ROC curve and an Average Precision of 0.3961 for the PR curve. The results show the potential of machine learning methods using environmental and vital sensors to predict BPSD.conference pape
Research on defect prevention and accuracy improvement in expansion drawing process
Get PDF電気通信大学博士（工学）2023doctoral thesi
Security Analysis and Design of Encrypted Control Systems Using Homomorphic Encryption
Get PDF電気通信大学博士（工学）2023doctoral thesi
