- High-Energy Particle Collisions Research
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Nuclear Physics and Applications
- Radiation Detection and Scintillator Technologies
- Nuclear reactor physics and engineering
- GaN-based semiconductor devices and materials
- Computability, Logic, AI Algorithms
- Radiation Therapy and Dosimetry
- Robot Manipulation and Learning
- Spectroscopy and Quantum Chemical Studies
- Semiconductor materials and devices
- Interdisciplinary Research and Collaboration
- Urban Heat Island Mitigation
- Lipid Membrane Structure and Behavior
- Impact of Light on Environment and Health
- Remote Sensing and LiDAR Applications
- Robotic Locomotion and Control
- 3D Surveying and Cultural Heritage
- Computational Physics and Python Applications
- Dark Matter and Cosmic Phenomena
- Social Robot Interaction and HRI
- Grey System Theory Applications
- Advanced Statistical Modeling Techniques
University of Tsukuba
2010-2023
National Institute for Subatomic Physics
2019-2023
Utrecht University
2019-2023
A. Alikhanyan National Laboratory
2015-2021
University of Miyazaki
2020
Hiroshima University
2020
Tamagawa University
2017-2019
Laboratoire de Physique Subatomique et de Cosmologie
2017-2018
Université Grenoble Alpes
2017
The University of Tokyo
2017
An accurate forecasting system is extremely crucial in order to simulate an optimum output level of photovoltaic (PV) power production for the next day. In this study, a relatively high-precision model solar irradiance based on grid point value (GPV) datasets using relative humidity, precipitation, and three-level cloud covers parameterization has been conducted Hitachi four main cities Japan. case cloudy/rainy/snowy days, influence liquid water path further introduced model. As result,...
Abstract. With the spread of Mobile Laser Scanning (MLS) system, demands for management road and facilities using MLS point clouds have increased. Especially, pole-like objects such as streetlights, utility poles, street signs etc. are in high demand to be managed. We propose a method recognizing from clouds. Our is based on Laplacian smoothing k-nearest neighbors graph, Principal Component Analysis points objects, thresholding degree objects. can robustly recognize with various radii tilt...
An advanced prototype of a digital pixel calorimeter, EPICAL-2, has been constructed using ALPIDE MAPS sensors. It successfully tested with cosmic muons and test beams at DESY the CERN SPS. We will report on recent updates performance results, good linearity resolution. Comparisons to detailed MC simulations are made show understanding technology. The spatial precision event-by-event measurements showers allows unprecedented studies shower shape. detector features two-shower separation...
Abstract The Bergen proton Computed Tomography (pCT) is a prototype detector under construction. It aims to have the capability track and measure ions’ energy deposition minimize uncertainty in treatment planning. high granularity digital tracking calorimeter, where first two layers will act as obtain positional information of incoming particle. remainder calorimeter. Beam tests been performed with multiple beams. These shown that ALPIDE chip sensor can deposited energy, making it possible...
Abstract The first evaluation of an ultra-high granularity digital electromagnetic calorimeter prototype using 1.0–5.8 GeV/c electrons is presented. 25 × 10 6 pixel detector consists 24 layers ALPIDE CMOS MAPS sensors, with a pitch around 30 μm, and has depth almost 20 radiation lengths tungsten absorber. Ultra-thin cables allow for very compact design. properties that are critical physics studies measured: shower response, energy resolution linearity. stochastic comparable the state-of-the...
Proton computed tomography (pCT) and radiography (pRad) are proposed modalities for improved treatment plan accuracy in situ validation proton therapy. The pCT system of the Bergen collaboration is able to handle very high particle intensities by means track reconstruction. However, incorrectly reconstructed secondary tracks degrade image quality. We have investigated whether a convolutional neural network (CNN)-based filter improve quality.The CNN was trained simulation reconstruction tens...
A prototype of a new type calorimeter has been designed and constructed, based on silicon-tungsten sampling design using pixel sensors with digital readout. It makes use the Alpide MAPS sensor developed for ALICE ITS upgrade. binary readout is possible due to size $\approx 30 \times \, \mu \mathrm{m}^2$. This successfully tested cosmic muons test beams at DESY CERN SPS. We report performance results obtained DESY, showing good energy resolution linearity, compare detailed MC simulations....
Characterization of the functional relationship between sensory inputs and neuronal or observers' perceptual responses is one fundamental goals systems neuroscience psychophysics. Conventional methods, such as reverse correlation spike-triggered data analyses are limited in their ability to resolve complex inherently nonlinear neuronal/perceptual processes because these methods require input stimuli be Gaussian with a zero mean. Recent studies have shown that based on generalized linear...
Share on How does emphatic emotion emerge via human-robot rhythmic interaction? Authors: Hideyuki Takahashi Osaka University, Osaka, Japan JapanView Profile , Nobutsuna Endo Hiroki Yokoyama Takato Horii Tomoyo Morita Minoru Asada Authors Info & Claims HAI '14: Proceedings of the second international conference Human-agent interactionOctober 2014 Pages 273–276https://doi.org/10.1145/2658861.2658940Online:29 October 2014Publication History 2citation139DownloadsMetricsTotal Citations2Total...
Urban environmental issues related to heat and aerial pollutants have become increasingly more serious. Atmospheric properties, such as air temperature, wind velocity, pollutant concentrations, are typically measured at meteorological observation stations. However, due the low spatial resolution of station networks, we cannot observe local occurring on scale people's daily lives. Thus, mobile measurement is an effective method for addressing insufficient points in urban areas. extent Global...
In this paper, we propose a mixture of probabilistic partial canonical correlation analysis (MPPCCA) that extracts the Causal Patterns from two multivariate time series. patterns refer to signal within interactions elements having multiple types mutually causal relationships, rather than simultaneous correlations or absence presence relationship between elements. statistics, (PCCA) evaluates multivariates after subtracting effect third multivariate. PCCA can calculate Granger Causal- ity...
In this work, we present a multimodal system for active robot-object interaction using laser-based SLAM, RGBD images, and contact sensors. the object manipulation task, robot adjusts its initial pose with respect to obstacles target objects through data so it can perform grasping in different configuration spaces while avoiding collisions, updates information related last steps of process sensors hand. We series experiment evaluate performance proposed following RoboCup2018 international...
Aluminum nitride (AlN) is widely used in the field of electronics because it has high thermal conductivity, good electric and mechanical properties. On other hand a shortcoming being difficult to wet metals. Therefore, various contrivances are needed form metal film with adhesion strength on AlN surface. In this paper we will review vacuum technology that been up now, mention middle thickness printing method be key from now on. Adhesion mechanism interface between also reported.
This paper practically tackles the design and implementation issue of maintaining a desired platform posture. As solution approach, novel shape-variation crawler mechanism is proposed, enabling robot to keep its posture while moving. More practically, implemented by employing individual foldable legs controlled toothed rack pinion gear. The proposed enables change shape according local surface topology. details on realization mechanism. effectiveness for evaluated through experiments after...
本研究では,一般市場に出回っているナノマテリアル含有製品使用時の,製品使用者に対する曝露評価手法の開発を目的とした.評価手法には,実際の使用状況を再現するチャンバー法と,発生した粒子の捕集を行うための静電捕集器を作成し,組み合わせることで新たな曝露評価手法の開発を行った.チャンバー法に関して,HEPAフィルタによる換気でバックグラウンド値を抑えることが可能となり,またチャンバー内で発生させた粒子の凝集が発生しないことが確認できた.また静電捕集器について,2000Vの印加時に粒子の捕集効率が78%となった. この手法を用いて,抗菌スプレーの使用時を想定した曝露評価を行った.抗菌スプレー使用時の肺への沈着量は1.29×10-5mg/kg/dayと推定された.