Search Results 1-20 of 2496

  • Construction of a State Space Model with Cold Seawater Flow Rate Input for an OTEC Plant Using Rankine Cycle  [in Japanese]

    陶山 大暉 , 松田 吉隆 , 杉 剛直 , 後藤 聡 , 安永 健 , 池上 康之

    システム制御情報学会研究発表講演会講演論文集 64, 356-360, 2020-05-20

  • Study on Operation and Management in Server rooms using Machine Learning Prediction Model(Part 1)Proposal on Prediction Model of Rack Intake Temperature  [in Japanese]

    笹倉 康佑 , 小松 正佳 , 青木 健 , 渡邊 剛

    空気調和・衛生工学会論文集 (278), 1-8, 2020-05

  • NeugebauerModels for Color Error Diffusion Halftoning

    Wu Kaiming , Inoue Kohei , Hara Kenji

    … For a natural extension of the conventional method for grayscale error diffusion to its color version, we first reformulate grayscale error diffusion with a one-dimensional Neugebauer model. … Then we increase the dimension of the model to derive a color error diffusion method based on a three-dimensional Neugebauer model in RGB (red, green and blue) color space. …

    Journal of Imaging 6(4), 23, 2020-04-17


  • Analyzing Sunspot Number via Gegenbauer Long Memory Process with Correlated Additive Noise

    Manabu ASAI

    … The purposes of this paper are to extend the conventional specification for sunspot numbers to accommodate correlated additive noise and to estimate the new model by the Bayesian Markov chain Monte Carlo technique. … The empirical result shows that the newspecification improves the model fitness. …

    創価経済論集 49(1・2・3・4), 77-86, 2020-03-31


  • Integrated Factor Graph Algorithm for DOA-based Geolocation and Tracking

    Cheng Meng , Aziz Muhammad Reza Kahar , Matsumoto Tad

    … A distributed sensor network is assumed for detecting an anonymous target, where the process and observation equations in the state space model (SSM) are unknown. … Importantly, the predicted state information can be utilized not only for filtering, but also for enhancing the observation process. …

    IEEE Access (8), 49989-49998, 2020-03-09


  • Predicting intervention effect for COVID-19 in Japan: state space modeling approach

    Kobayashi Genya , Sugasawa Shonosuke , Tamae Hiromasa , Ozu Takayuki

    … <p>Japan has observed a surge in the number of confirmed cases of the coronavirus disease (COVID-19) that has caused a serious impact on the society especially after the declaration of the state of emergency on April 7, 2020. …

    BioScience Trends 14(3), 174-181, 2020


  • Channel-Wise Predictive Filter Flow for Demosaicking

    Iriyama Taishi , Sato Masatoshi , Aomori Hisashi , Otake Tsuyoshi

    … Recently, deep convolutional neural network (CNN)-based demosaicking methods have been explored and have achieved state-of-the-art accuracy. … Since the PFF is a model that predicts a space-variant linear filter that is transformed to the target image by linearly combining it with the input image, target pixels are reconstructed only from local information. …

    Journal of Signal Processing 24(4), 187-190, 2020


  • EMU's Monetary and Fiscal Policy Effects on Euro Area Future Natural Interest Rate

    Suzuki Hirotaka

    <p>In this paper, we clarify whether monetary and fiscal policies, including those by consolidated governments such as by the European Union (EU), can affect the natural interest rate using New …

    Japanese Journal of Monetary and Financial Economics 8(0), 57-90, 2020


  • A Proposal for a New Framework of Learner Modeling: From Modeling "Understanding" to "Not Understanding"

    Mizoguchi Riichiro

    … <p>In the study of intelligent tutoring systems (ITSs), research on learner modeling has been actively conducted to provide effective support adapted to a learner's state of understanding, in which learning history, learning style, lack of knowledge, misunderstandings (bugs), etc. …

    The Journal of Information and Systems in Education 19(1), 9-14, 2020



    KIMURA Yosuke , OGAWA Ami , MITA Akira

    … <p>Biofied building is a building system that provides safe, secure and comfortable space for residents using a robot. … Thus, we aim to propose a simple motion prediction method using a human body model based on dynamics.</p> …

    AIJ Journal of Technology and Design 26(63), 793-797, 2020


  • Action Conditional Video Prediction with Hierarchically Represented State Space Model  [in Japanese]

    KONDO Naruya , IWASAWA Yusuke , MATSUO Yutaka

    … <p>Deep State Space Models (SSMs) are often used in Reinforcement Learning to model the dynamics of environments. … However, when using SSMs for complex data, SSMs learning may not proceed well even if the state dimensionality is increased in an attempt to capture highly complex dynamics. …

    Proceedings of the Annual Conference of JSAI JSAI2020(0), 4Rin148-4Rin148, 2020


  • Online anomaly detection of disasters using large-scale smartphone gps data  [in Japanese]

    TAKASAWA Ippei , MORIOKA Yuki , GOTO Satoshi , SUZUKI Yuya , KATO Yusuke , YADOHISA Hiroshi

    … Previous studies, estimated people flow using particle filter, and anomaly detection using state space model. …

    Proceedings of the Annual Conference of JSAI JSAI2020(0), 3H5GS302-3H5GS302, 2020


  • Effective Symmetry Reduction based on Graph Automorphism in Graph-Based Model Checking  [in Japanese]

    TSUNEKAWA Yutaro , UEDA Kazunori

    … <p>In model checking, the state explosion problem is an important issue. … Symmetry Reduction is a state space reduction method that exploits symmetry. …

    Proceedings of the Annual Conference of JSAI JSAI2020(0), 2N6GS101-2N6GS101, 2020


  • Inflation Expectations Curve in Japan

    Maruyama Toshitaka , Suganuma Kenji

    … We use a state-space model which considers consistency among expectations at different horizons, and for relationships between inflation rate, real growth rate and nominal interest rate. …

    Japanese Journal of Monetary and Financial Economics 8(0), 1-28, 2020


  • Deep State-Space Model for Noise Tolerant Skeleton-Based Action Recognition

    KAWAMURA Kazuki , MATSUBARA Takashi , UEHARA Kuniaki

    … In this work, for robust skeleton-based action recognition, we propose a deep state-space model (DSSM). … The DSSM is a deep generative model of the underlying dynamics of an observable sequence. … In such experimental settings, the proposed DSSM outperforms a state-of-the-art method.</p> …

    IEICE Transactions on Information and Systems E103.D(6), 1217-1225, 2020


  • LS-SVM Based Modeling and Model Predictive Control for a Water-Hydraulic Artificial Muscle Actuator

    KAWAHARA Yuta , KOSAKI Takahiro , LI Shigang

    … Modeling tests are carried out on this LS-SVM approach with experimentally acquired data and show that the proposed model can capture the hysteretic characteristics of the water-hydraulic AMA. …

    SICE Journal of Control, Measurement, and System Integration 13(3), 114-121, 2020


  • A Null-space Compensation Control for 2-input Redundant Plant Based on Model Reference Adaptive Control  [in Japanese]

    KAWAGUCHI Natsuki , SATO Takao , ARAKI Nozomu , ASAMI Toshihiko , KURODA Masaharu

    … <p>In this paper, we propose a null-space compensation control for linear first-order systems with redundant two input channels. … In the input redundant systems, control input vector generally has null-space component of the plant parameter vector. … The null-space component does not contribute to the generation of the control force which drives the plant state. …

    Transactions of the Society of Instrument and Control Engineers 56(5), 293-298, 2020


  • Electric Prices Forecasting by Temperature Options  [in Japanese]

    Moridaira Soichiro

    … A linear state-space model with Kalman filters is used to estimate the impact of heating and cooling options on electricity prices, which change stochastically over time. … As a result, we are able to construct a simple predictive model that mean-reverting, time-dependent volatility, GARCH type volatility and spikes in electricity prices. …

    Communications of the Japan Association of Real Options and Strategy 11(1), 35-45, 2020


  • New induction experience design using joint attention by line of sight  [in Japanese]

    Suge Syunichi

    … This work presents a method of induction in space by allowing a viewer to read the direction of the line of sight of another person based on the perception phenomenon of “joint attention”, which is one person’s understanding of where an object is based on the other person’s line of sight. … Monitor, A2-size panel, A3-size panel, and wallpaper were placed in an exhibition space, and faces were shown on each medium. …

    Annual Design Review of Japanese Society for the Science of Design 25(1), 1_18-1_23, 2020


  • Realization of Sparse Control Using the Model Predictive Control Scheme:—Offline Computation of the Control Law and Its Representation—  [in Japanese]

    IWATA Takumi , OISHI Yasuaki , NAGAHARA Masaaki

    … <p>Model predictive control together with its offline computation is utilized for sparse control. … Since a conventional type of sparse control is in an open-loop style, it is meaningful to realize it in a closed-loop style using the model predictive control scheme. …

    Transactions of the Society of Instrument and Control Engineers 56(3), 74-80, 2020


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