Search Results 1-20 of 24

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  • The Role of Accent and Grouping Structures in Estimating Musical Meter

    LIN Han-Ying , HUANG Chien-Chieh , CHANG Wen-Whei , CHIEN Jen-Tzung

    … The system starts by extracting autocorrelation-based features that characterize accent periodicities. … Based on the local boundary detection model, we construct grouping features that serve as additional cues for inferring meter. … After the feature extraction, a multi-layer cascaded classifier based on neural network is incorporated to derive the most likely meter of input melody. …

    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E103.A(4), 649-656, 2020

    J-STAGE 

  • Analysis of shear viscosity and viscoelastic relaxation of liquid methanol based on molecular dynamics simulation and mode-coupling theory

    Yamaguchi Tsuyoshi , Faraone Antonio

    … The autocorrelation function of the shear stress and the intermediate scattering functions at both the prepeak and the main peak were calculated from the MD trajectories. … On the other hand, the MCT for molecular liquids based on the interaction-site model (site-site MCT) fails to describe the coupling between the prepeak dynamics and shear stress. …

    Journal of Chemical Physics 146(24), 244506-244506, 2017-06-28

    IR 

  • An Empirical Analysis of Commodity Flows in the San-En-Nanshin of Japan Using Heteroskedastic Spatial Interaction Models  [in Japanese]

    Thi Thu TRANG Ha , ARBIA Giuseppe , MIYATA Yuzuru

    … <p>This paper aims to investigate interregional commodity flows linked to the current transportation network of the San-En-Nanshin Region in Japan. … For this reason a heteroskedastic version of the conventional spatial interaction models was considered to test the presence of network dependence among commodity origin-destination flows. …

    Studies in Regional Science 46(3), 267-280, 2016

    J-STAGE 

  • Is performance information used for learning purposes in collaborative networks: A case study of a county in the U.S.  [in Japanese]

    NAKASHIMA Manabu

    <p>協働型ネットワークは，複雑な問題への対応が求められる様々な政策分野における政策実施や公共サービスの提供に用いられている。しかしながら，協働型ネットワークには，目的・利害関心・認識枠組み等が異なるメンバーが参加していることから，メンバーの集合行動が困難となり，パフォーマンスとアカウンタビリティの問題が生じる。そこで，協働型ネットワークを評価する必要性が指摘されており，産出された業績 …

    Journal of Public Policy Studies 15(0), 131-145, 2015

    J-STAGE 

  • MACHINE LEARNING APPROACH FOR THE PREDICTION OF BUCKLING STRENGTH OF CORRODED STEEL PLATES  [in Japanese]

    CHUN Pang-jo , AKIYAMA Taisei , MANABE Yusuke

    腐食鋼構造物の安全な供用，および的確な維持管理戦略の策定のためには残存耐力を適切に評価する必要がある．しかし特に座屈耐荷力に関しては研究が十分なされているとは言い難く，いくらか簡便な評価式が提案されているものの，それらも必ずしも多くはない座屈試験結果などから導き出されたものであり，基礎的なデータの蓄積が未だ必要な段階にある．そこで本研究ではまず座屈試験，および空間的自己相関モデルにより生成された数 …

    Journal of Japan Society of Civil Engineers, Ser. A2 (Applied Mechanics (AM)) 71(2), I_39-I_47, 2015

    J-STAGE 

  • The Transitional Spatial Pattern of Housing Prices in Beijing: Factors and Implications

    Wang Fang , Gao Xiaolu

    … The analysis revealed that the spatial autocorrelation effects associated with housing prices (and their increase) became significantly stronger between 2005 and 2012, especially in the central part of Beijing. … Autocorrelation was, however, identified for both years. … By comparing the data for the two years using a multivariate linear regression model, the factors influencing housing price growth were analyzed. …

    International Review for Spatial Planning and Sustainable Development 2(3), 46-62, 2014

    IR  J-STAGE 

  • Cross-Correlation Contributions to Orientational Relaxations in Primitive Chain Network Simulations

    Masubuchi Yuichi , Sukumaran Sathish K

    … Models for entangled polymer dynamics can be conveniently thought of as belonging to two major categories - multichain models, such as the Kremer-Grest model simulated using molecular dynamics and single chain models, such as the tube and sliplink models. … In this study, the effect of cross-correlation was investigated using the primitive chain network model, a multi-chain sliplink model. …

    Nihon Reoroji Gakkaishi 41(1), 1-6, 2013

    J-STAGE 

  • Urban Disaster Prevention Shelter Location and Evacuation Behavior Analysis

    Tai Cheng-An , Lee Yung-Lung , Lin Ching-Yuan

    … This study proposes a simple method of analyzing the road network factors and evacuation choices of residents in case of an earthquake. … Using questionnaire survey data from Shin-Hua, Tainan County Taiwan, this study uses 6 indexes to evaluate shelter safety and applies a spatial statistic model with Local Indicators of Spatial Association (LISA) as an index to the evacuation choice of residents. …

    Journal of Asian Architecture and Building Engineering 9(1), 215-220, 2010

    J-STAGE 

  • A Statistical Network Model of Trust on Product and Resources for the Product

    Kinjo Keita , Aizawa Akiko , Kobayashi Tetsuro

    … We propose a "trust network hypothesis" and use a network autocorrelation model to statically verify it. …

    Japanese Journal of Administrative Science 23(1), 37-51, 2010

    J-STAGE 

  • Practical Application Study of Spatial-Autocorrelation Model in Case of Vegetable Planting-Area Variations in Okinawa-Island : Pure Autocorrelation Model and Complex Model

    WATANABE Satoru

    … The 21st century is called the century of network relations. … Spatial autocorrelation is a concept that treats the inter-relations between adjacent distributed numerical values in a specific time. … The statistical model represents an autocorrelation term with parameter "ro" …

    Studies in Regional Science 39(4), 1055-1075, 2009

    J-STAGE 

  • Spatial structures in a spatial autoregressive model and one-directional adjacency matrices

    YOKOI Takahisa , ANDO Asao

    … We propose a new idea, specifications of one directional effect, not mutual dependencies and try to utilize the concept to a land price model. … Spatial (or network) interdependency should exist almost everywhere in real world. … With an empirical study (maximum likelihood estimations of a spatial autoregressive model on land price data in Miyagi Prefecture, Japan), we show that the spatial dependencies may not be recognized if we assume that such dependencies are reciprocal. …

    The Japanese Journal of Real Estate Sciences 21(4), 115-125, 2008

    J-STAGE 

  • Productivity of infrastructure and spill over effects.  [in Japanese]

    TSUKAI Makoto , EJIRI Ryo , OKUMURA Makoto , KOBAYASHI Kiyoshi

    本研究では地域間スピルオーバー効果を考慮した社会資本の生産性を評価する方法を提案する. その際, 社会資本のスピルオーバー効果として, 地域を越えた活動主体による社会資本の利用可能性 (直接的スピルオーバー効果) と, 地域間における知識のスピルオーバー効果 (間接的スピルオーバー効果) をとりあげる. その上で, 社会資本の直接的, 間接的なスピルオーバー効果を同時にモデル化しうる生産関数モデル …

    Doboku Gakkai Ronbunshu 2002(716), 53-67, 2002

    J-STAGE 

  • An Analysis of Network Traffic using Surrogate Data

    HASEGAWA Mikio , IKEGUCHI Tohru

    サロゲートデータを用いた時次系列解析手法をインターネットトラッフィクに適用する.Iterated Amplitude Adjusted Fourier Transformed(IAAFT)サロゲートデータ作成アルゴリズムを用いることにより, 元のデータのヒストグラムと自己相関関数を保存した確立的な時系列を作成することが可能である.従来より, インターネットトラフィックは自己相似性を持つことが知られ …

    IEICE technical report. Nonlinear problems 101(465), 39-46, 2001-11-22

    References (14)

  • A method of geographical features analysis for mechanized forest operations : Describing the nearest-access distance from the individual stands within a certain bouned area to the nearest road in a forest road network  [in Japanese]

    INOUE Motoki , OKA Masaru , HIROBE Shinji , YAMADA Yozo

    本研究は,森林作業に対する森林内の人や機械の移動現象を前提として森林内の路網と伐区などの対象域の相対的位置関係について検討した。特に多様な形態を有する対象域と路網の関係に対し,域内の各点から路網までの到達距離の分布関数について考究し,到達距離比の分布関数を基礎とした到達難易の分類を試みた。その結果,不定形対象域から路網への到達距離の分布関数として到達距離パラメータ(z)を含む一般式が提示でき,その …

    Journal of The Japan Forest Engineering Society 16(1), 3-14, 2001

    J-STAGE  References (9)

  • Associative Memory Using Neurons Having Refractory Period  [in Japanese]

    ODA Mikio , MIYAJIMA Hiromi

    自己相関連想記憶は, 回路網の安定性の立場から, 単調な活性化関数が用いられていたが, 単純な構造である一方, 記憶容量が小さい, 偽記憶が存在するなどの欠点があった.本稿では, 自己相関連想記憶モデルに従来の単調な活性化関数を用いながら, ニューロンに不応期を設定することにより, Hopfieldモデルと同様に回路網の収束性を保証しながら, 想起能力の改善を図る記憶モデルを提案する.提案モデルの …

    IEICE technical report. Circuits and systems 100(415), 23-30, 2000-11-09

    References (10) Cited by (1)

  • Associative Memory Using Neurons Having Refractory Period  [in Japanese]

    ODA Mikio , MIYAJIMA Hiromi

    自己相関連想記憶は, 回路網の安定性の立場から, 単調な活性化関数が用いられていたが, 単純な構造である一方, 記憶容量が小さい, 偽記憶が存在するなどの欠点があった.本稿では, 自己相関連想記憶モデルに従来の単調な活性化関数を用いながら, ニューロンに不応期を設定することにより, Hopfieldモデルと同様に回路網の収束性を保証しながら, 想起能力の改善を図る記憶モデルを提案する.提案モデルの …

    Technical report of IEICE. CST 100(417), 23-30, 2000-11-02

    References (10)

  • Capacity of Associative Memory Using a Neural Network with a Periodic Activation Funcition  [in Japanese]

    ODA Mikio , TSURUTA Takeshi , MIYAJIMA Hiromi

    連想記憶は,神経回路網モデルの応用分野の一つであり,種々の記憶モデルが提案されている.自己相関型連想記憶モデルは,その記憶構造が単純であるという特徴をもつが,一方,記憶容量が少なく,多数の偽記憶が存在するという欠点をもつ.従来,神経素子の活性化関数として,符号関数やシグモイド関数が用いられてきたが,活性化関数の単調性を取り除き,非単調関数を用いると記憶容量が大きくなることが示されている.本稿では, …

    Technical report of IEICE. CST 99(418), 79-84, 1999-11-09

    References (4)

  • Capacity of Associative Memory Using a Neural Network with a Periodic Activation Funcition  [in Japanese]

    ODA Mikio , TSURUTA Takeshi , MIYAJIMA Hiromi

    連想記憶は,神経回路網モデルの応用分野の一つであり,種々の記憶モデルが提案されている.自己相関型連想記憶モデルは,その記憶構造が単純であるという特徴をもつが,一方,記憶容量が少なく,多数の偽記憶が存在するという欠点をもつ.従来,神経素子の活性化関数として,符号関数やシグモイド関数が用いられてきたが,活性化関数の単調性を取り除き,非単調関数を用いると記憶容量が大きくなることが示されている.本稿では, …

    IEICE technical report. Circuits and systems 99(416), 79-84, 1999-11-09

    References (4) Cited by (2)

  • Nonlinear Prediction of River Water-Stages by Feedback Artificial Neural Network

    HIRAMATSU K , Shikasho Shiomi , Mori Ken

    … The feedback artificial neural network model (FBANNM) was applied to the prediction of the water-stages in a tidal river. … The difference between a feed forward artificial neural network model and a FBANNM was investigated. … A simple genetic algorithm (SGA) was then incorporated into a FBANNM to help search for the optimal network structure, especially the unit numbers of an input layer and a hidden layer. …

    Journal of the Faculty of Agriculture, Kyushu University 44(1/2), 137-147, 1999-11

    IR  DOI  Cited by (2)

  • Periodic Chaos Neural Network with Autocorrelation Dynamics

    NAKAGAWA MASAHIRO

    … In this report we shall propose a novel chaos neural network model applied to memory search and the autoassociation. … The present artificial neuron model is substantially characterized in terms of a time-dependent periodic activation function to involve a chaotic dynamics on the basis of the energy steepest descent strategy. …

    IEICE technical report. Neurocomputing 97(332), 37-44, 1997-10-20

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