Search Results 1-20 of 10192

  • Prediction of blood pressure variability using deep neural networks

    Koshimizu Hiroshi , Kojima Ryosuke , Kario Kazuomi , Okuno Yasushi

    … [Purpose]The purpose of our study was to predict blood pressure variability from time-series data of blood pressure measured at home and data obtained through medical examination at a hospital. … The dataset included past time-series data for blood pressure and medical examination data such as gender, age, and others. …

    International Journal of Medical Informatics (136), 2020-04

    IR 

  • A Note on Event Classification in Soccer Videos Using Bidirectional LSTM (ITS : Intelligent Transport Systems Technology)  [in Japanese]

    春山 知生 , 高橋 翔 , 小川 貴弘 , 長谷山 美紀

    電子情報通信学会技術研究報告 = IEICE technical report : 信学技報 119(421), 371-375, 2020-02-27

  • Monitoring Discord on Streaming Time-series  [in Japanese]

    加藤 慎也 , 天方 大地 , 西尾 俊哉 , 原 隆浩

    近年,多くのアプリケーションは時系列データを生成しており,その時系列データを分析することに注目が集まっている.最も重要な時系列データの分析の1つに異常検知があり,ディスコードの発見は時系列データ中の異常なサブシーケンスの発見に対応する.ディスコードとは,時系列データの中のすべてのサブシーケンスの中で,最近傍のサブシーケンスとの距離が最大となるサブシーケンスである.時系列データは本質的に動的であるた …

    情報処理学会論文誌 61(2), 510-519, 2020-02-15

    IPSJ 

  • Automating Time-series Safety Analysis for Automotive Control Systems Using Weighted Partial Max-SMT

    Shuichi Sato , Shogo Hattori , Hiroyuki Seki , Yutaka Inamori , Shoji Yuen

    … We present an experimental application of our method to a simplified cruise control system as a practical case study in two well-known methods of safety analysis, namely system theoretic process analysis (STPA) and fault tree analysis (FTA), for the automatic detection of time-series signal disturbances.------------------------------This is a preprint of an article intended for publication Journal ofInformation Processing(JIP). …

    情報処理学会論文誌 61(2), 2020-02-15

    IPSJ 

  • Recommendation of Imputing Value for Sensor Data based on Programming by Example

    Hiroko Nagashima , Yuka Kato

    … Many tools and methods are available for reducing preprocessing time. … For reducing analysis resources, we combine programming by example and machine learning via Bayesian inference, inputting human knowledge to APREP-S as an example and calculating a proper proportion by machine learning via Bayesian inference. … We also define k-Shape as the calculation of the rate of similarity of time-series data. …

    情報処理学会論文誌 61(2), 2020-02-15

    IPSJ 

  • Time series analysis of data on the number on guests in the six regions of Hokkaido and Aomori Prefecture  [in Japanese]

    山本 康裕

    人文社会科学論叢 = Studies in the humanities and social sciences (8), 87-113, 2020-02

  • Anatomical traits of Cryptomeria japonica tree rings studied by wavelet convolutional neural network

    Nakajima T , Kobayashi K , Sugiyama J

    … Tree ring analysis is an important field of science, and is vital in modeling the environmental response system of tree growth. … The information within a ring, however, has been less studied, although it offers many more possibilities for investigation, such as seasonal responses over shorter time scales. …

    IOP Conference Series: Earth and Environmental Science (415), 2020-02

    IR 

  • Topological data analysis of vibration time series with delay embedding method  [in Japanese]

    寺内 恒輝 , 林 和則 , 狄 靖 , 岡田 洋侍

    電子情報通信学会技術研究報告 = IEICE technical report : 信学技報 119(395), 23-28, 2020-01-27

  • Inferring the Kolmogorov-Sinai entropy rate from symbolic diffusion entropy rate of chaotic dynamical systems  [in Japanese]

    宮野 尚哉 , 塩澤 航太

    電子情報通信学会技術研究報告 = IEICE technical report : 信学技報 119(381), 127-129, 2020-01-23

  • Assessing the effect of mandatory progress reporting on treatment requirements identified during health examinations at the Fukushima Daiichi Nuclear Power Plant: A time series analysis

    Mori Koji , Fukai Kota , Tahara Hiroyuki , Okazaki Ryuji , Ogami Akira , Igari Kazuyuki , Suzuki Katsunori , Kikuchi Hiroshi , Sakai Kazuhiro , Yoshikawa Toru , Fujino Yoshihisa , Tateishi Seiichiro , Kubo Tatsuhiko , Kobayashi Yuichi , Hiraoka Ko , Kawashita Futoshi , Hayashi Takeshi , Kiyomoto Yoshifumi , Kobashi Masaki

    … The linear trend was assessed by treating the number of periods as a continuous variable.</p><p><b>Results</b>: The incident rate ratio for workers who needed treatment having a follow-up examination promptly showed a significant decrease over time. …

    Journal of Occupational Health 62(1), n/a, 2020

    J-STAGE 

  • Characteristics and sources of gravity waves in the summer stratosphere based on long-term and high-resolution radiosonde observations

    Okui Haruka , Sato Kaoru

    … Using long-term high-resolution operational radiosonde observation data from nine stations in the subtropics and mid-latitudes of Japan, this study performed statistical analysis of the dynamical characteristics of gravity waves (GWs). … Hodograph analysis revealed that GWs propagating eastward relative to the ground are dominant in summer. …

    SOLA, 2020

    J-STAGE 

  • CREEP ANALYSIS OF CONCRETE BEAMS AND FLAT-SLABS BY USING FINITE ELEMENT METHOD

    Tran Kim Bang , Nguyen Quang Sang , Truong Tich Thien

    … Structures that works for a long time with constant loads will be influenced by the factors that damage them, and creep phenomenon must be considered. … The creep model will be evaluated by the Finite Element Method (FEM) combined Prony's series interpolation through ANSYS software. … The creep datas used for Prony's series interpolation are based on international standards. …

    SEATUC journal of science and engineering 1(1), 46-51, 2020

    J-STAGE 

  • Evaluating the efficacy of singular spectrum transformation in detecting working posture changes in a time series

    HIRANAI Kazuki , KURAMOTO Akisue , SEO Akihiko

    … The lag was determined according to the time of the work cycle and agreed with lag times observed in previous studies. … This study concludes that the efficacy of SST was shown through detection of working posture changes in a time series, and that lag should be selected in accordance with the work cycle.</p> …

    Mechanical Engineering Journal 7(1), 19-00464-19-00464, 2020

    J-STAGE 

  • Automating Time-series Safety Analysis for Automotive Control Systems Using Weighted Partial Max-SMT

    Sato Shuichi , Hattori Shogo , Seki Hiroyuki , Inamori Yutaka , Yuen Shoji

    … We present an experimental application of our method to a simplified cruise control system as a practical case study in two well-known methods of safety analysis, namely system theoretic process analysis (STPA) and fault tree analysis (FTA), for the automatic detection of time-series signal disturbances.</p> …

    Journal of Information Processing 28(0), 124-135, 2020

    J-STAGE 

  • Recommendation of Imputing Value for Sensor Data based on Programming by Example

    Nagashima Hiroko , Kato Yuka

    … Many tools and methods are available for reducing preprocessing time. … For reducing analysis resources, we combine programming by example and machine learning via Bayesian inference, inputting human knowledge to APREP-S as an example and calculating a proper proportion by machine learning via Bayesian inference. … We also define k-Shape as the calculation of the rate of similarity of time-series data. …

    Journal of Information Processing 28(0), 102-111, 2020

    J-STAGE 

  • Research for Pass Matchup Analysis Considering Movement Records in American Football  [in Japanese]

    TANAKA Chihiro , YAMAMOTO Yuhei , JIANG Wenyuan , TANAKA Shigenori , NAKAMURA Kenji , NAKAJIMA Shinsuke

    <p>スポーツ庁では,我が国の国際競技力の向上に関する重点政策において,日本代表選手の活躍を科学な側面から支援することを目指している.そこで,筆者らは,GNSSセンサによるフィールドスポーツの可視化システムを開発してきた.特に,アメリカンフットボールに着目し,QB,WR,DBのマッチアップを対象にした軌跡画像を用いて,深層学習によるパス成否の判定を目指してきた.ただし,プレーが完結した …

    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 32(1), 580-589, 2020

    J-STAGE 

  • A Study on Applicability of State Space Model for Grasping the Effect of Measures of Expressway  [in Japanese]

    NAKANISHI Masakazu , MAEDA Masato , KODAMA Takashi , SASAKI Kuniaki

    <p><tt>高速道路の新規供用や料金施策の変更等、道路交通に影響を及ぼす事象に関して、前後比較に基づき、交通量や損失時間等の指標の変化を用いて、その効果を把握することが一般的である。しかし、曜日配列が異なる影響やインシデントの影響等により、明確に前後での変化を捉えることができていない可能性がある。一方、既往研究では、時系列に観測された交通量に対して、状態空間モデルを適用し …

    JSTE Journal of Traffic Engineering 6(2), A_226-A_234, 2020

    J-STAGE 

  • Bias Correction of Multi-Sensor Total Column Ozone Satellite Data for 1978-2017

    NAOE Hiroaki , MATSUMOTO Takanori , UENO Keisuke , MAKI Takashi , DEUSHI Makoto , TAKEUCHI Ayako

    … Two bias correction methods are used: simple linear regression (SLR) as a function of time and multiple linear regression (MLR) as a function of time, solar zenith angle, and effective ozone temperature. … In the trend analysis, the difference between corrected and uncorrected TCO trends by MLR shows clear seasonal and latitudinal dependency, whereas such seasonal and latitudinal dependency is lost by SLR. …

    Journal of the Meteorological Society of Japan. Ser. II, 2020

    J-STAGE 

  • A Study on Disaster Medical Response During the Great East Japan Earthquake Disaster Based on the Emergency Support Function – Nine Days at Iwate Prefecture from Hyperacute to Subacute Phase –

    Akitomi Shinji , Koyama Akira , Kokogawa Tomohiro , Maeda Yuji , Kimura Reo , Tamura Keiko , Hayashi Haruo , Meguro Kimiro

    … In this paper we proposed to objectively reveal problems of response activities at the viewpoint of information processing by the After Action Review (AAR), focusing on the activity logs in the time series (chronologies). …

    Journal of Disaster Research 15(1), 41-52, 2020

    J-STAGE 

  • Application of Displacement and Rotating Angle Measurement in Time Series Using Sampling Moire Method to a Plant Structure  [in Japanese]

    Fujigaki Motoharu , Nakajima Tomoaki

    … <p>A sampling moire method is applied to displacement and rotating angle measurement in time series of a practical conveyor belt used in a steel plant in this paper. … The sampling moire method is one of the convenient phase analysis methods. … Measuring displacement and rotating angle of a part of the structure using a camera in time series for recognizing the dynamic behavior is one of the efficient inspection methods. …

    Tetsu-to-Hagane 106(2), 71-79, 2020

    J-STAGE 

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