TAKEDA TATSUOKI
| Emeritus Professor etc. | Emeritus Professor |
Researcher Information
Field Of Study
Educational Background
- 1968
The University of Tokyo, 理学系研究科, 物理学専攻, Japan - 1968
The University of Tokyo, Graduate School, Division of Science - 1965
The University of Tokyo, 数物系研究科, 物理学専攻, Japan - 1965
The University of Tokyo - 1963
The University of Tokyo, Faculty of Science, Department of Physics, Japan - 1963
The University of Tokyo, Faculty of Science
Research Activity Information
Award
MISC
- Three-dimensional ionospheric tomography using observation data of GPS ground receivers and ionosonde by neural network
XF Ma; T Maruyama; G Ma; T Takeda
In this paper we present a new method based on a Residual Minimization Training Neural Network (RMTNN) to reconstruct the three-dimensional electron density distribution of the local ionosphere with high spatial resolution (about 50 km x 50 km in east/west and 30 km in altitude) using GPS and ionosonde observation data. In this method we reconstruct an approximate three-dimensional electron density distribution as a computer tomographic image by making use of the excellent capability of a multilayer neural network to approximate an arbitrary function. For this application the network training is carried out by minimizing the squared residuals of an integral equation. We combine several additional techniques with the new method, i.e., input space discretization, use of ionosonde observation data to improve the vertical resolution, automatic estimation of the biases of the satellite and the ground receivers by using the parameter estimation method, and estimation of plasmasphere contributions to the total electron content on the basis of an assumption of diffusive equilibrium with constant scale height. Numerical experiments for the actual positions of the GPS satellites and the ground receivers are used to validate the reliability of the method. We also applied the method to the analysis of real observation data and compared the results with ionosonde observations which were not used for the network training., AMER GEOPHYSICAL UNION, May 2005, JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, 110, A5, English, 2169-9380, 2169-9402, WOS:000229587200002 - Three-dimensional ionospheric tomography using observation data of GPS ground receivers and ionosonde by neural network
XF Ma; T Maruyama; G Ma; T Takeda
In this paper we present a new method based on a Residual Minimization Training Neural Network (RMTNN) to reconstruct the three-dimensional electron density distribution of the local ionosphere with high spatial resolution (about 50 km x 50 km in east/west and 30 km in altitude) using GPS and ionosonde observation data. In this method we reconstruct an approximate three-dimensional electron density distribution as a computer tomographic image by making use of the excellent capability of a multilayer neural network to approximate an arbitrary function. For this application the network training is carried out by minimizing the squared residuals of an integral equation. We combine several additional techniques with the new method, i.e., input space discretization, use of ionosonde observation data to improve the vertical resolution, automatic estimation of the biases of the satellite and the ground receivers by using the parameter estimation method, and estimation of plasmasphere contributions to the total electron content on the basis of an assumption of diffusive equilibrium with constant scale height. Numerical experiments for the actual positions of the GPS satellites and the ground receivers are used to validate the reliability of the method. We also applied the method to the analysis of real observation data and compared the results with ionosonde observations which were not used for the network training., AMER GEOPHYSICAL UNION, May 2005, JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, 110, A5, English, 2169-9380, 2169-9402, WOS:000229587200002 - 残差最小化学習ニューラルネットワーク応用の進展
Feb. 2005, 調布シンポジウム2005 - Determination of GPS receiver differential biases by neural network parameter estimation method
XF Ma; T Maruyama; G Ma; T Takeda
[1] The dual-frequency signals of GPS can be used to measure the total electron content (TEC). The differential instrumental biases inherent in GPS satellite and receivers are considered as the main sources of error, and they must be removed for an accurate estimation of TEC. We aim at developing an effective method to solve the difficulties involved in the TEC measurement; there are only a few usable ground receivers, especially in lower-latitude areas near the geomagnetic equator where large ionospheric variability exists. For this purpose a new parameter estimation method based on a residual minimization training neural network is applied to determination of the GPS receiver biases. The alternative method is realized by making use of the excellent features of neural networks to approximate a wide range of mapping functions, for which the network training is carried out by minimizing squared residuals of integral equation. To determine receiver biases ( unknown parameters), we used additional "neural networks,'' each of which consists of only one neuron without an input channel. It is assumed that satellite biases have already been determined by applying the least squares method to the GEONET data gathered by a large number of receivers. Various cases of observation data for different seasons, different local times, and different geographic locations of the receiver as well as the cases of model data are analyzed, and it is confirmed that the method is very effective for a small number of receivers located in the lower-latitude areas., AMER GEOPHYSICAL UNION, Jan. 2005, RADIO SCIENCE, 40, 1, English, 0048-6604, WOS:000226548800001 - Determination of GPS receiver differential biases by neural network parameter estimation method
XF Ma; T Maruyama; G Ma; T Takeda
[1] The dual-frequency signals of GPS can be used to measure the total electron content (TEC). The differential instrumental biases inherent in GPS satellite and receivers are considered as the main sources of error, and they must be removed for an accurate estimation of TEC. We aim at developing an effective method to solve the difficulties involved in the TEC measurement; there are only a few usable ground receivers, especially in lower-latitude areas near the geomagnetic equator where large ionospheric variability exists. For this purpose a new parameter estimation method based on a residual minimization training neural network is applied to determination of the GPS receiver biases. The alternative method is realized by making use of the excellent features of neural networks to approximate a wide range of mapping functions, for which the network training is carried out by minimizing squared residuals of integral equation. To determine receiver biases ( unknown parameters), we used additional "neural networks,'' each of which consists of only one neuron without an input channel. It is assumed that satellite biases have already been determined by applying the least squares method to the GEONET data gathered by a large number of receivers. Various cases of observation data for different seasons, different local times, and different geographic locations of the receiver as well as the cases of model data are analyzed, and it is confirmed that the method is very effective for a small number of receivers located in the lower-latitude areas., AMER GEOPHYSICAL UNION, Jan. 2005, RADIO SCIENCE, 40, 1, English, 0048-6604, WOS:000226548800001 - Archival Studies on the Nuclear Fusion Research at Universities in Japan (III) - Presentation at Other Academic Societies
Oct. 2004, Annual Report of National Institute for Fusion Studies, April 2003 - March 2004, 428 - Archival Studies on the Nuclear Fusion Research at Universities in Japan (II) - NIFS Nuclear Fusion Archives Chronology -
Oct. 2004, Annual Report of National Institute for Fusion Science, April 2003 - March 2004, 427 - Archival studies on the Nuclear Fusion Research at Universities in Japan (I) - NIFS Nuclear Fusion Archives Database -
Oct. 2004, Annual Report of National Institute for Fusion Science, April 2003 - March 2004, 426 - Archival Studies on the Nuclear Fusion Research at Universities in Japan (III) - Presentation at Other Academic Societies
Oct. 2004, Annual Report of National Institute for Fusion Studies, April 2003 - March 2004, 428 - Archival Studies on the Nuclear Fusion Research at Universities in Japan (II) - NIFS Nuclear Fusion Archives Chronology -
Oct. 2004, Annual Report of National Institute for Fusion Science, April 2003 - March 2004, 427 - Archival studies on the Nuclear Fusion Research at Universities in Japan (I) - NIFS Nuclear Fusion Archives Database -
Oct. 2004, Annual Report of National Institute for Fusion Science, April 2003 - March 2004, 426 - 多層ニューラルネットワークCTによる移動性電離圏擾乱構造の再生の可能性
Sep. 2004, 地球電磁気・地球惑星圏学会(SGPSS)第１１６回総会, D-31-P079 - ３次元電離圏トモグラフィ
Sep. 2004, 地球電磁気・地球惑星圏学会(SGPSS)第１１６回総会, B-22 - 残差最小化学習ニューラルネットワークの生態系解析への応用
Sep. 2004, 日本応用数理学会2004年度年会（中央大学）, 420 - ニューラルネットワーク残差最小化による非線形時系列の予測
Sep. 2004, 日本応用数理学会2004年度年会（中央大学）, 418 - 多層ニューラルネットワークを使った電離圏トモグラフィ
Sep. 2004, 日本応用数理学会2004年度年会（中央大学）, 416 - 残差最小化ニューラルネットワークによる逆問題解析
Sep. 2004, 日本応用数理学会2004年度年会（中央大学）, 414 - Predicting nonlinear time seriesby neural network residual minimization method
Sep. 2004, JSIAM 2004 Annual Meeting (Chuo Univ), 418 - New approach to determine GPS receiver biases by neural network parameter estimation method
Oct. 2003, 地球電磁気・地球惑星圏学会(SGEPSS)第１１４回総会, B42-04 - New approach to determine GPS receiver biases by neural network parameter estimation method
Oct. 2003, SGEPSS 114 Meeting (Toyama Univ), B42-04 - Constructing dynamical systems from observations by neural networks
Sep. 2003, 日本応用数理学会２００３年度年会（京都大学）, 394-395 - ニューラルネットワークを用いたパラメータ同定法
Sep. 2003, 日本応用数理学会２００３年度年会（京都大学）, 392-393 - ニューラルネットワークパラメータ評価法によるGPS受信機のバイアス決定
Sep. 2003, 日本応用数理学会２００３年度年会（京都大学）, 386-387 - ニューラルネットワークの計算科学への応用について
Sep. 2003, 日本応用数理学会２００３年度年会（京都大学）, 384-385 - Constructing dynamical systems from observations by neural networks
Sep. 2003, JSIAM 2003 (Kyoto Univ), 394-395 - Applying a neural network collocation method to an incompletely known dynamical system via weak constraint data assimilation
A Liaqat; M Fukuhara; T Takeda
A method based on a neural network collocation method is proposed for approximating incompletely known dynamical systems via weak constraint data assimilation formulation. The aim of the new method is to solve several difficult issues encountered in previous research. For this purpose, the weak constraint property of the neural network collocation method is used. The problem regarding the wider assimilation window is tackled by interconnecting narrower windows with finite overlapping interfaces. The method is examined by considering the Lorenz system as an example where one of the three equations of the system is unknown. The object function of the neural network training is composed of squared residuals of differential equations at collocation points and squared deviations of the observations from their corresponding calculated values.
The weakly and highly nonlinear cases of the Lorenz system are considered. The numerical experiments have been carried out with simulated noiseless and noisy observation data under various conditions. The performance of the method for approximating an unknown equation during the assimilation and testing periods is examined for the two cases. Also, the parameters of incomplete dynamical systems are estimated for the two cases. Satisfactory results have been obtained in both cases., AMER METEOROLOGICAL SOC, Aug. 2003, MONTHLY WEATHER REVIEW, 131, 8, 1696-1714, English, 0027-0644, 80016128422, WOS:000184346800014 - Applying a neural network collocation method to an incompletely known dynamical system via weak constraint data assimilation
A Liaqat; M Fukuhara; T Takeda
A method based on a neural network collocation method is proposed for approximating incompletely known dynamical systems via weak constraint data assimilation formulation. The aim of the new method is to solve several difficult issues encountered in previous research. For this purpose, the weak constraint property of the neural network collocation method is used. The problem regarding the wider assimilation window is tackled by interconnecting narrower windows with finite overlapping interfaces. The method is examined by considering the Lorenz system as an example where one of the three equations of the system is unknown. The object function of the neural network training is composed of squared residuals of differential equations at collocation points and squared deviations of the observations from their corresponding calculated values.
The weakly and highly nonlinear cases of the Lorenz system are considered. The numerical experiments have been carried out with simulated noiseless and noisy observation data under various conditions. The performance of the method for approximating an unknown equation during the assimilation and testing periods is examined for the two cases. Also, the parameters of incomplete dynamical systems are estimated for the two cases. Satisfactory results have been obtained in both cases., AMER METEOROLOGICAL SOC, Aug. 2003, MONTHLY WEATHER REVIEW, 131, 8, 1696-1714, English, 0027-0644, 80016128422, WOS:000184346800014 - ニューラルネットワークを用いたディスラプション現象の予測
Jun. 2003, 平成14年度核融合研究施設を利用する研究成果報告会（日本原子力研究所） - Optimal estimation of parameters of dynamical systems by neural network collocation method
Ali Liaqat; Makoto Fukuhara; Tatsuoki Takeda
In this paper we propose a new method to estimate parameters of a dynamical system from observation data on the basis of a neural network collocation method. We construct an object function consisting of squared residuals of dynamical model equations at collocation points and squared deviations of the observations from their corresponding computed values. The neural network is then trained by optimizing the object function. The proposed method is demonstrated by performing several numerical experiments for the optimal estimates of parameters for two different nonlinear systems. Firstly, we consider the weakly and highly nonlinear cases of the Lorenz model and apply the method to estimate the optimum values of parameters for the two cases under various conditions. Then we apply it to estimate the parameters of one-dimensional oscillator with nonlinear damping and restoring terms representing the nonlinear ship roll motion under various conditions. Satisfactory results have been obtained for both the problems. © 2002 Elsevier Science B.V. All rights reserved., 15 Feb. 2003, Computer Physics Communications, 150, 3, 215-234, English, 0010-4655, 0037440904 - Optimal estimation of parameters of dynamical systems by neural network collocation method
Ali Liaqat; Makoto Fukuhara; Tatsuoki Takeda
In this paper we propose a new method to estimate parameters of a dynamical system from observation data on the basis of a neural network collocation method. We construct an object function consisting of squared residuals of dynamical model equations at collocation points and squared deviations of the observations from their corresponding computed values. The neural network is then trained by optimizing the object function. The proposed method is demonstrated by performing several numerical experiments for the optimal estimates of parameters for two different nonlinear systems. Firstly, we consider the weakly and highly nonlinear cases of the Lorenz model and apply the method to estimate the optimum values of parameters for the two cases under various conditions. Then we apply it to estimate the parameters of one-dimensional oscillator with nonlinear damping and restoring terms representing the nonlinear ship roll motion under various conditions. Satisfactory results have been obtained for both the problems. © 2002 Elsevier Science B.V. All rights reserved., 15 Feb. 2003, Computer Physics Communications, 150, 3, 215-234, English, 0010-4655, 0037440904 - 残差最小化学習ニューラルネットワークによる逆問題解法
Jan. 2003, 科学研究費補助金(B)(2)「巨大領域のための有限要素法と領域分割計算ならびに関連事項」横浜研究会 - Asymmetric Abel inversion by neural network for reconstruction of plasma density distribution
MA X F; TAKEDA T
Oct. 2002, Nuclear Instruments and Methods in Physics Research, 492, 1/2, 178-189, 0168-9002 - Asymmetric Abel inversion by neural network for reconstruction of plasma density distribution
Oct. 2002, Nuclear Instruments and Methods in Physics Research, 492, 1/2, 178-189, 0168-9002 - ニューラルネットワークを用いたデータ同化法による不完全力学系の解法
Sep. 2002, 日本応用数理学会2002年度年会（慶応義塾大学理工学部矢上キャンパス）講演要旨集, 46 - Applications of Neural Networks to Data Analysis and Control of Fusion Plasma
TAKEDA Tatsuoki; IYOMASA Atsuhiro
Applications of neural networks to data analysis and control of fusion plasmas are reviewed. First, a brief introduction to the general features of a neural network is presented, where the neural network is considered as a continuous mapping device, a classification device, a statistical processing device, and a time series predicition device. Then, the applications of neural networks to the research field are explained where the problems to be solved are classified a sfitting function, shaping an experimentally obtained spectrum, analyzing equilibrium quantity, prediction, tomography, and control problems. Throughout the article, we restrict ourselves to description of applications of multi-layer neural networks., The Japan Society of Plasma Science and Nuclear Fusion Research, Sep. 2002, Kakuyūgō kenkyū, 78, 9, 842-856, Japanese, 0918-7928, 10009629744, AN10401672 - 残差最小化学習ニューラルネットワークによる 一般的逆問題解法
Sep. 2002, Proceedings of the International Workshop on Modern Science and Technology 2002, 145-150 - Solution method of incomplete dynamical system via neural network data assimilation
Sep. 2002, 46 - Applications of neural networks to data analysis and control of fusion plasma
Tatsuoki TAKEDA; Atsuhiroi IYOMASA
Applications of neural networks to data analysis and control of fusion plasmas are reviewed. First, a brief introduction to the general features of a neural network is presented, where the neural network is considered as a continuous mapping device, a classification device, a statistical processing device, and a time series predicition device. Then, the applications of neural networks to the research field are explained where the problems to be solved are classified a sfitting function, shaping an experimentally obtained spectrum, analyzing equilibrium quantity, prediction, tomography, and control problems. Throughout the article, we restrict ourselves to description of applications of multi-layer neural networks., The Japan Society of Plasma Science and Nuclear Fusion Research, Sep. 2002, Journal of Plasma and Fusion Research, 78, 9, 842-856, Japanese, 0918-7928, 10009629744, AN10401672 - Neural network with residual minimization training as a general inverse solver
Sep. 2002, Proceedings of the International Workshop on Modern Science and Technology 2002, 145-150 - 多層ニューラルネットワークを利用する新しい電離圏CTー予備的な結果
May 2002, 地球惑星科学関連学会２００２年合同大会（東京・代々木）, J015-P006 - ニューラルネットワークによる逆問題解法
Mar. 2002, 平成10年度〜平成13年度 科学研究費補助金（基盤研究(B) (1)）研究成果報告書（研究課題番号10554003）(研究代表者 牛島照夫）, 174-194 - ニューラルネットワーク選点法の応用
Mar. 2002, 平成11年度〜平成13年度 科学研究費補助金（基盤研究(B) (1)）研究成果報告書（研究課題番号11440027）（研究代表者 加古孝）, 111-125 - Neural network solution method of inverse problems
Mar. 2002, 174-194 - Application of neural network collocation method
Mar. 2002, 111-125 - ニューラルネットワークを用いた逆問題解法
Feb. 2002, 数理解析研究所講究録, 1288, 86-101 - Neural network solution method of inverse problems
Feb. 2002, 1288, 86-101 - Application of neural network collocation method to data assimilation
Ali Liaqat; Makoto Fukuhara; Tatsuoki Takeda
In this paper we propose a new data assimilation method by using a neural network. In the method we make use of the flexibility of a neural network for constructing an arbitrary mapping function. We train a neural network by optimizing an object function composed of squared residuals of differential equations at collocation points and squared deviations of the observation data from the computed values. The method we propose is, therefore, data assimilation with weak constraints. In this way we can solve an assimilation problem even if the model differential equations do not express the observed phenomena exactly. As an example we applied the new method to a data assimilation problem where the model is the well-known Lorenz model. Though the practically applicable data assimilation method should be able to solve four-dimensional problems (one temporal and three spatial dimensions) and the Lorenz model is one-dimensional, this model is still useful for a benchmark test of the data assimilation methods due to its strong nonlinearity and chaotic nature. We have examined the new method for the above mentioned problem under various conditions and obtained satisfactory results. © 2001 Elsevier Science B.V. All rights reserved., 01 Dec. 2001, Computer Physics Communications, 141, 3, 350-364, English, 0010-4655, 0035576783 - ニューラルネットワークのデータ同化への応用
Nov. 2001, 地球シミュレータ適用性研究会（地球シミュレータ研究開発センター，2001年11月22日） - 平衡DB付きニューラルネットワークを使ったプラズマ密度分布解析
Oct. 2001, 日本応用数理学会2001年度年会（九州大学箱崎キャンパス）講演予稿集, 72-73 - Application of neural network collocation method to data assimilation
Oct. 2001, 日本応用数理学会2001年度年会（九州大学箱崎キャンパス）講演予稿集, 70-71 - Application of neural network collocation method to data assimilation
Oct. 2001, 70-71 - ニューラルネットワーク選点法のデータ同化への応用
Sep. 2001, Computer Physics Communications, 141, 350-364 - ニューラルネットワークによる逆問題解法
Sep. 2001, 調布研究会（2001.9.17，電気通信大学） - 計測データ解析へのニューラルネットの新しい応用
Aug. 2001, 核融合科学研究所共同研究研究会「画像2001」（核融合科学研究所，2001.8.30-31） - History of Controlled Nuclear Fusion in Japan.
Uematsu Eisui; Takeda Tatsuoki; Nisio Sigeko
日本において,制御核融合の研究が開始されて約50年経った.当時,天体,原子核,素粒子,宇宙線,放電,溶接などの分野の研究者たちによって核融合を志向する研究が始まった.そのとき,まず研究体制が議論され,さしあたって基礎研究を進めることで合意が得られた.その後,実験装置の大型化が進められるようになり,特に,この十数年で国際協力としての研究開発が盛んになった.本稿では,研究開発の巨費化がはじまる前の時代に焦点を当て,日本の制御核融合研究の跡をたどる., The Physical Society of Japan (JPS), Jun. 2001, Butsuri, 56, 6, 395-402, Japanese, 0029-0181, 110002077755, AN00196952 - ニューラルネットワークによる少数データコンピュータトモグラフィと微分方程式解法
Mar. 2001, 平成11年度〜平成12年度 科学研究費補助金 （基礎研究(C)(2)）研究成果報告書（研究課題番号 11650065）（研究代表者 竹田辰興） - ニューラルネットワークと逆問題
Feb. 2001, 医学数学シンポジウム1（ホテル高知プラザ，2001年2月8日） - TRIAM-1Mプラズマ位置制御のためのニューラルネットワークによる位置予測
Feb. 2001, プラズマ・核融合学会誌, 77, 2, 171-178 - ニューラルネットワークによるCT解析と超高速現象
Dec. 2000, 金沢大学理学部物理学科特別講演（金沢大学，2000年12月6日） - Synergic approach in computational sciences
Nov. 2000, 電気通信大学数値解析研究会（電気通信大学，2000年11月10日） - Synergic approach in computational sciences
Nov. 2000 - 計算科学における統合的アプローチとニューラルネットワーク
Oct. 2000, 九州大学先端エネルギー専攻特別講演（九州大学応用力学研究所，2000年10月31日） - ニューラルネットワークによるプラズマ密度分布再構成法
Oct. 2000, 日本応用数理学会2000年度年会講演予稿集（東京工業大学，2000年10月8日）, 486-487 - Neural network CT image reconstruction method for small amount of projection data
XF Ma; M Fukuhara; T Takeda
This paper presents a new method for two-dimensional image reconstruction by using a multi-layer neural network. Though a conventionally used object function of such a neural network is composed of a sum of squared errors of the output data, we define an object function composed of a sum of squared residuals of an integral equation. By employing an appropriate numerical line integral for this integral equation, we can construct a neural network which can be used for CT image reconstruction for cases with small amount of projection data. We applied this method to some model problems and obtained satisfactory results. This method is especially useful for analyses of laboratory experiments or field observations where only a small amount of projection data is available in comparison with the well-developed medical applications. (C) 2000 Elsevier Science B.V. All rights reserved., ELSEVIER SCIENCE BV, Jul. 2000, NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 449, 1-2, 366-377, English, 0168-9002, 80011820005, WOS:000088317400033 - Neural network CT image reconstruction method for small amount of projection data
XF Ma; M Fukuhara; T Takeda
This paper presents a new method for two-dimensional image reconstruction by using a multi-layer neural network. Though a conventionally used object function of such a neural network is composed of a sum of squared errors of the output data, we define an object function composed of a sum of squared residuals of an integral equation. By employing an appropriate numerical line integral for this integral equation, we can construct a neural network which can be used for CT image reconstruction for cases with small amount of projection data. We applied this method to some model problems and obtained satisfactory results. This method is especially useful for analyses of laboratory experiments or field observations where only a small amount of projection data is available in comparison with the well-developed medical applications. (C) 2000 Elsevier Science B.V. All rights reserved., ELSEVIER SCIENCE BV, Jul. 2000, NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 449, 1-2, 366-377, English, 0168-9002, 80011820005, WOS:000088317400033 - New applications of neural networks for computational sciences
Jun. 2000, Proceedings of 1999-Workshop on MHD Computations,"Study on Numerical Methods Related to Plasma Confinement Nov.8-10, 1999, RESEARCH REPORT NIFS PROC series NIFS-PROC-46, 40-53 - New applications of neural networks for computational sciences
Jun. 2000, Proceedings of 1999-Workshop on MHD Computations,"Study on Numerical Methods Related to Plasma Confinement Nov.8-10, 1999, RESEARCH REPORT NIFS PROC series NIFS-PROC-46, 40-53 - ニューラルネットワークによるプラズマ磁場揺動の内部構造の推定
Mar. 2000, 日本物理学会春の分科会（関西大学，2000年3月22日）22pH5 - ニューラルネットワークによる少数データCTと微分方程式解法
Feb. 2000, 九州大学先端エネルギー専攻特別講演（九州大学，2000年2月22日） - 微分方程式を解くためのニューラルネット選点法(共著)
Feb. 2000, 数理解析研究所講究録1129 計算力学の新解法と領域分割法，(京都大学数理解析研究所), 115-128 - Neural net collocation method for solving differential equations
Feb. 2000, Research Institute for Mathematical Sciences Report Computation mechanics and domain de composition methrods, 115-128 - History of nuclear fusion research in Japan
Jan. 2000, Historia Scientiarum, 10, 1, 16-45 - 核融合研究の流れ，特集－日本における初期の核融合研究
2000, 物理学史ノート，（日本物理学会第53回年会物理学史シンポジウム，東邦大学習志野キャンパス，1998年4月2日）, 6, 2-6 - TRIAM-1Mにおけるフィードバック制御に用いるニューラルネットワークの構造最適化
2000, プラズマ・核融合学会誌, 76, 9, 911-921 - ニューラルネットワークによるCT像再構成法
2000, 日本応用数理学会論文誌, 10, 2, 145-161 - 計算科学におけるニューラルネットワークの新しい応用(共著)
2000, 核融合科学研究所レポート NIFS-PROC-40, 40 - History of nuclear fusion research in Japan
Jan. 2000, Historia Scientiarum, 10, 1, 16-45 - CT image reconstruction by neural network
2000, 10, 2, 145-161 - New applications of neural network for computational sciences
2000, National Institute for Fusion Science Report NIFS-PROC-40, 40 - ニューラルネットワークを用いたプローブデータ解析に関する研究
Nov. 1999, プラズマ・核融合学会16回年会（宮城県民会館，1999年11月23日）26pB13p - TRIAM-1Mにおける冗長性判定を用いたニューラルネットワークの最適化
Nov. 1999, プラズマ・核融合学会16回年会（宮城県民会館，1999年11月23日）23pA13p - ニューラルネットワークを用いた少数投影データからのCT画像再構成
Oct. 1999, 日本応用数理学会1999年度年会講演予稿集（愛媛大学工学部，1999年10月4日）, 112-113 - 微分方程式を解く為のニューラルネット選点法
Sep. 1999, 科研費「ポアソンソルバーの現代化」研究打合会--江ノ島研究会（KKR 片瀬ニュー向洋，1999年9月16日） - Neural net collocation method for solving differential equations
Sep. 1999 - 数値解析のためのニューラルネットワーク
Aug. 1999, 電気通信大学数値解析研究会「数値解析研究の最前線」（電気通信大学，1999年8月26日） - ニューラルネットワークを用いた少数データCT
Aug. 1999, 画像計測研究会（核融合科学研究所，1999年8月3日） - ニューラルネットワークによる微分方程式の数値解法
May 1999, 電気通信大学数値解析研究会（電気通信大学，1999年5月21日） - ニューラルネットワークのCTへの応用(共著)
Mar. 1999, in Proceedings of 1998-Workshop on MHD Computations,"Study on Numerical Methods Related to Plasma Confinement Nov. 25-27, 1998, RESEARCH REPORT NIFS_PROC series（Mar.11, 1999）NIFS-PROC-40, 30-37 - Application of neural network to numerical analyses
Mar. 1999, in Proceedings of 1998-Workshop on MHD Computations,"Study on Numerical Methods Related to Plasma Confinement Nov. 25-27, 1998, RESEARCH REPORT NIFS_PROC series（Mar. 11, 1999）NIFS-PROC-40, 19-29 - Application of neural network to CT
Mar. 1999, in Proceedings of 1998-Workshop on MHD Computations,"Study on Numerical Methods Related to Plasma Confinement Nov. 25-27, 1998, RESEARCH REPORT NIFS_PROC series（Mar.11, 1999）NIFS-PROC-40, 30-37 - Application of neural network to numerical analyses
Mar. 1999, in Proceedings of 1998-Workshop on MHD Computations,"Study on Numerical Methods Related to Plasma Confinement Nov. 25-27, 1998, RESEARCH REPORT NIFS_PROC series（Mar. 11, 1999）NIFS-PROC-40, 19-29 - ニューラルネットワークの数値計算への応用
Sep. 1998, 「ポアッソンソルバーの現代化」研究打ち合わせ会，(1998年9月18日) - ニューラルネットワークのCTへの応用
Sep. 1998, 日本応用数理学会1998年度年会講演予稿集，（1998年9月12〜14日，東京，早稲田大学理工学部）, 150-151 - 形状因子を用いた微分方程式のニューラルネットワークによる数値解法について
Sep. 1998, 日本応用数理学会1998年度年会講演予稿集，（1998年9月12〜14日，東京，早稲田大学理工学部), 148-149 - Plasma Position Detection by Neural Network on TRAIM-1M
彌政 敦洋; 中村 一男; 竹田 辰興; 中島 寿年; 川崎 昌二; 牧野 賢一; 上瀧 恵里子; 花田 和明; 坂本 瑞樹; 図子 秀樹; 佐藤 浩之助; 伊藤 智之
Divertor configuration is one of the method to obtain high performance plasma. But it may cause vertical position instability. By controlling the instability effectively, we can obtain long time discharge in divertor configuration and obtain higher elongation ratio. For this purpose, we will introduce plasma position control with plasma position detection by neural network. The purpose of this research is confirmation of validity of plasma position detection by neural network. The results show that neural network approach is useful., 九州大学大学院総合理工学研究科, Sep. 1998, 九州大学大学院総合理工学研究科報告, 20, 2, 145-149, Japanese, 0388-1717, 120005371687, AN00055101 - Plasma position detection by neural network on TRIAM-IM
彌政 敦洋; 中村 一男; 竹田 辰興; 中島 寿年; 川崎 昌二; 牧野 賢一; 上瀧 恵里子; 花田 和明; 坂本 瑞樹; 図子 秀樹; 佐藤 浩之助; 伊藤 智之
Divertor configuration is one of the method to obtain high performance plasma. But it may cause vertical position instability. By controlling the instability effectively, we can obtain long time discharge in divertor configuration and obtain higher elongation ratio. For this purpose, we will introduce plasma position control with plasma position detection by neural network. The purpose of this research is confirmation of validity of plasma position detection by neural network. The results show that neural network approach is useful., 九州大学大学院総合理工学研究科, Sep. 1998, Engineering Sciences Reports, Kyushu University, 20, 2, 145-149, Japanese, 0388-1717, 120005371687, AN00055101 - TRIAM-1Mにおけるニューラルネットワークの効率的な入力決定法
Jun. 1998, 第2回核融合エネルギー連合講演会，(1998年6月1〜2日，東京，科学技術館) A7 - ニューラルネットワークを用いたTRIAM-1M単一Xポイント配位制御システム
Jun. 1998, 第2回核融合エネルギー連合講演会，（1998年6月1〜2日，東京，科学技術館) A6 - 核融合と中曾根代議士
Mar. 1998, 日本物理学会第54回年会，(1998年3月28〜31日，広島大学東広島キャンパス) 29pM6 - ニューラルネットワークの数値計算への応用
Mar. 1998, 統計数理研究所共同研究リポート110 核融合研究における数値解析手法と最適化, 203-222 - Application of Neural Network to Numerical Computations
Mar. 1998, The lustitute of Statistical Mathematics Cooperative Reseanch Report 110, 203-222 - 荷電粒子系解析のためのニューラル・ネットワークの応用
1997, 統計数理研究所共同研究リポート105MHD数理モデルによる核融合計算と最適設計, 229-244 - 交互境界条件を用いた領域分割法
1997, 航空宇宙技術研究所特別資料34号第14回航空機計算空気力学シンポジウム論文集, 143-146 - Application of neural network to analysis of charged particle systems
1997, 229-244 - A Domain Decomposition Method Using Alternating Boundary Conditions
1997, 143-146 - Sensor algorithms of the plasma vertical position to avoid a vertical displacement event during plasma-current quench on JT-60U
R Yoshino; JK Koga; T Takeda
A high toroidal eddy current induced in a vacuum vessel during plasma-current quench, I-p quench, results in errors in determining the vertical position of the plasma-current center Z(J), calculated from standard linear regression sensor algorithms. These deviations result in a vertical displacement event (VDE) that must be avoided because of the expected severe damage on the first wall in tokamak fusion reactors like the International Thermonuclear Experimental Reactor (ITER). On the other hand, high Z(J) calculation accuracy must be maintained at steady state to obtain reasonable plasma performance. Thus, real-time sensor algorithms for the calculation of Z(J) applicable to the two cases of steady state and slow I-p quench are investigated. When a statistical method is applied to the Z(J) calculation, its deviation from the actual Z(J) cannot be completely reduced at the same time for both cases. On the contrary, a neural network demonstrates high accuracy in the calculation of Z(J) for both cases, which enables real-time feedback control of Z(J) during slow I-p quench, avoids VDE, and keeps reasonable plasma performance during steady state., AMER NUCLEAR SOCIETY, Nov. 1996, FUSION TECHNOLOGY, 30, 2, 237-250, English, 0748-1896, WOS:A1996VQ75400010 - Sensor algorithms of the plasma vertical position to avoid a vertical displacement event during plasma-current quench on JT-60U
R Yoshino; JK Koga; T Takeda
A high toroidal eddy current induced in a vacuum vessel during plasma-current quench, I-p quench, results in errors in determining the vertical position of the plasma-current center Z(J), calculated from standard linear regression sensor algorithms. These deviations result in a vertical displacement event (VDE) that must be avoided because of the expected severe damage on the first wall in tokamak fusion reactors like the International Thermonuclear Experimental Reactor (ITER). On the other hand, high Z(J) calculation accuracy must be maintained at steady state to obtain reasonable plasma performance. Thus, real-time sensor algorithms for the calculation of Z(J) applicable to the two cases of steady state and slow I-p quench are investigated. When a statistical method is applied to the Z(J) calculation, its deviation from the actual Z(J) cannot be completely reduced at the same time for both cases. On the contrary, a neural network demonstrates high accuracy in the calculation of Z(J) for both cases, which enables real-time feedback control of Z(J) during slow I-p quench, avoids VDE, and keeps reasonable plasma performance during steady state., AMER NUCLEAR SOCIETY, Nov. 1996, FUSION TECHNOLOGY, 30, 2, 237-250, English, 0748-1896, WOS:A1996VQ75400010 - 交互境界条件を用いた領域分割法による数値計算
1996, 統計数理研究所共同研究リポート85MHD数理モデルによる核融合計算と最適設計, 160 - ニューラルネットワークによる荷電粒子系の計算
1996, 統計数理研究所共同研究リポート85MHD数理モデルによる核融合計算と最適設計, 115 - ミューオン触媒核融合研究の現状
1996, プラズマ・核融合学会誌, 72, 12, 1292 - A numerical computation on a domain decomposition method using alternating boundary conditions
1996, 160 - Computation of charged particle system by neunal network
1996, 115 - Present status of muon catalyzed fusion research
1996, Journal of Plasma and Fusion Research, 72, 12, 1292 - Neural network reconstruction of longitudinal beam phase space from the synchrotron radiation spectrum
J. Koga; T. Takeda
In order to control a charged particle beam and improve the quality of the system detailed information of the phase space of the charged particle beam system is needed. Coherent synchrotron radiation combined with a neural network as a tool can be used to determine the longitudinal phase space structure of a beam. In the case of coherent synchrotron radiation emission there are two regions in the spectrum. At the high frequency end the spectrum is just that expected from normal synchrotron radiation. At the low frequency end the spectrum is influenced by the beam structure in configuration space. A neural network can be used to solve the inverse problem of obtaining the distribution of particles which produces the radiation. © 1995., 11 Sep. 1995, Nuclear Inst. and Methods in Physics Research, A, 363, 3, 580-590, English, 0168-9002, 80008502777, 29944433394 - NEURAL-NETWORK RECONSTRUCTION OF LONGITUDINAL BEAM PHASE-SPACE FROM THE SYNCHROTRON-RADIATION SPECTRUM
J KOGA; T TAKEDA
In order to control a charged particle beam and improve the quality of the system detailed information of the phase space of the charged particle beam system is needed. Coherent synchrotron radiation combined with a neural network as a tool can be used to determine the longitudinal phase space structure of a beam. In the case of coherent synchrotron radiation emission there are two regions in the spectrum. At the high frequency end the spectrum is just that expected from normal synchrotron radiation. At the low frequency end the spectrum is influenced by the beam structure in configuration space. A neural network can be used to solve the inverse problem of obtaining the distribution of particles which produces the radiation., ELSEVIER SCIENCE BV, Sep. 1995, NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 363, 3, 580-590, English, 0168-9002, 80008502777, WOS:A1995RU80000012 - レビュー「常温核融合」
Mar. 1995, 日本原子力研究所レポートJAERI-Review, 95-003 - Review "Cold fusion"
Mar. 1995, 95-003 - 常温核融合研究の最近
1995, 原子力工業 (日刊工業新聞社), 41, 6, 5 - Recent topics of cold fusion
1995, Nuclear Engineering, 41, 6, 5 - EFFECT OF LOCAL HEATING ON THE M=2 TEARING MODE IN A TOKAMAK
G KURITA; T TUDA; M AZUMI; T TAKIZUKA; T TAKEDA
The effect of electron temperature perturbation induced by local heating on the tearing mode activity is investigated by simulations based on the reduced set of resistive MHD equations, with the transport equation of electron temperature. The effect of poloidal plasma rotation is also considered in the simulations. It is shown that the local heating can suppress the m = 2 tearing mode instability when the O point of the rotating magnetic island is effectively heated. While perpendicular thermal conduction imposes a lower limit on the degree of localization of the achievable heating, the ratio of parallel to perpendicular conduction is shown to determine the heating power necessary for complete stabilization of the tearing mode., INT ATOMIC ENERGY AGENCY, Nov. 1994, NUCLEAR FUSION, 34, 11, 1497-1515, English, 0029-5515, 80007983729, WOS:A1994PW54100008 - 書評「専用計算機によるシミュレーション」
Apr. 1994, 応用数理, 4, 4, 391-392 - Book review "Simuration by dedicated computers"
Apr. 1994, 4, 4, 391-392 - トカマクにおける局所加熱のm=2テアリングモードに及ぼす効果
KURITA G; TUDA T; AZUMI M; TAKIZUKA T; TAKEDA T
1994, Nuclear Fusion, 34, 11, 1497-1515, 0029-5515 - Neural network reconstruction of beam phase space from the synchrotron radiation spectrum
1994, Inverse Problems in Engineering and Science 94 - Neural network reconstruction of beam phase space from the synchrotron radiation spectrum
1994, Inverse Problems in Engineering and Science 94 - Perfect focusing fusion system
1993, The International Conference on Emerging Nuclear Energy Systems (World Scientific), 31 - Perfect focusing fusion system
1993, The International Conference on Emerging Nuclear Energy Systems (World Scientific), 31 - EFFECT OF AN EXTERNAL HELICAL FIELD ON A ROTATING MAGNETIC ISLAND
G KURITA; T TUDA; M AZUMI; T TAKEDA
Non-linear MHD calculations of the m/n = 2/1 tearing mode in a low beta cylindrical tokamak are carried out, taking account of the plasma rotation with the effect of the magnetic field induced by an external helical current. A rotating magnetic island is locked to the external helical field through the damping torque J(phi)h x B(r)h,where B(r)h is the radial component of the external helical field and J(phi)h is the plasma current induced by the helical field and the plasma rotation. When the rotating flow velocity is high enough, the damping torque produces a strong velocity shear near the resonant surface until locking of the magnetic island occurs. After mode locking, the width of the magnetic island becomes larger than that in the case without a helical field because of phase matching between the external helical field and the locked magnetic island. The stabilizing effect of the velocity shear can be sustained by keeping the velocity profile in a transient state by applying an external helical field with alternating directions. This method also ensures that the magnetic island does not become mode locked by other mechanisms such as interaction with a resistive shell or an error field, which is often followed by major disruptions., INT ATOMIC ENERGY AGENCY, Nov. 1992, NUCLEAR FUSION, 32, 11, 1899-1911, English, 0029-5515, 80006801973, WOS:A1992KA55800002 - PLASMA SIMULATOR METIS FOR TOKAMAK CONFINEMENT AND HEATING STUDIES
T TAKEDA; K TANI; T TSUNEMATSU; Y KISHIMOTO; G KURITA; S MATSUSHITA; T NAKATA
To fill up a theoretical database necessary for the fusion reactor development program a plasma simulator METIS was designed and a prototype plasma simulator ProtoMETIS was constructed. METIS is projected on the basis of a MIMD type parallel computer composed of 250 processor elements with distributed memories and optimized for analyses of the nonlinear MHD behavior of a plasma and the loss of alpha particles due to magnetic field ripples in a tokamak. By using ProtoMETIS performance of the METIS architecture was investigated for the above problems and satisfactory results were attained. It was also confirmed that a simulation of a free electron laser used for plasma heating and an MHD equilibrium computation of a tokamak plasma were carried out efficiently on the plasma simulator., ELSEVIER SCIENCE BV, Jul. 1992, PARALLEL COMPUTING, 18, 7, 743-765, English, 0167-8191, 80006624944, WOS:A1992JJ90800002 - 非線形MHD型プラズマ・シミュレーションの並列処理
1992, 情報処理学会論文誌, 33, 3, 360 - ミュオン科学の進展
竹田 辰興; 永嶺 謙忠; 山崎 泰規; 門野 良典; 石田 勝彦; 上村 正康; 山崎 良成; 水本 元治
1992, 日本原子力学会誌, 34, 12, 1098-1107, 0004-7120 - 核融合炉開発とMHD数値解析
1992, 応用数理, 2, 4, 2 - トカマクプラズマ閉じこめ加熱研究のためのプラズマシミュレータ
1992, Parallel Computing, 18, 743 - 外部ヘリカル磁場の回転磁気島への効果
1992, Nuclear Fusion, 32, 11, 1899 - Parallelization of nonlinear MHD plasma simulation
1992, 33, 3, 360 - Progress of Muon Science
1992, 34, 12, 1098 - Nuclear Fusion Research and MHD Computations
1992, Bulletin of the Japan Society for Industrial and Applied Mathematics, 2, 4, 2 - COMPUTATION OF MHD EQUILIBRIUM OF TOKAMAK PLASMA
T TAKEDA; S TOKUDA
ACADEMIC PRESS INC JNL-COMP SUBSCRIPTIONS, Mar. 1991, JOURNAL OF COMPUTATIONAL PHYSICS, 93, 1, 1-107, English, Book review, 0021-9991, WOS:A1991FE37900001 - COMPUTATION OF MHD EQUILIBRIUM OF TOKAMAK PLASMA
T TAKEDA; S TOKUDA
ACADEMIC PRESS INC JNL-COMP SUBSCRIPTIONS, Mar. 1991, JOURNAL OF COMPUTATIONAL PHYSICS, 93, 1, 1-107, English, Book review, 0021-9991, WOS:A1991FE37900001 - STABILITY ANALYSIS OF SPHEROMAK BY ERATO-J CODE AGAINST INTERNAL-MODES
A KAMITANI; S KANEKO; T TSUNEMATSU; S TOKUDA; T TAKEDA
The stability of the spheromak against low n (n = 1, 2, 3, 4, 5) and localized modes is investigated by use of ERATO-J code and by means of the Mercier criterion. Here n is the toroidal mode number. The shape of the plasma is assumed to simulate the experimental plasma in the flux conserver of CTCC-II at Osaka University. The beta limits for these modes are evaluated as a function of q(axis) to elucidate which mode gives a lower limit. Here q(axis) is the value of the safety factor on the magnetic axis. As a result, the beta limit of the spheromak is shown to be determined by the n = 1, the n = 2 and the localized modes. However, the Mercier criterion is shown to give an excellent measure for the stability against internal modes, if q(axis less-than-or-equal-to 0.9., PHYSICAL SOCIETY JAPAN KIKAI-SHINKO BUILDING, Feb. 1991, JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, 60, 2, 512-517, English, 0031-9015, 110001980041, WOS:A1991FD86700029 - STABILITY ANALYSIS OF SPHEROMAK BY ERATO-J CODE AGAINST INTERNAL-MODES
A KAMITANI; S KANEKO; T TSUNEMATSU; S TOKUDA; T TAKEDA
The stability of the spheromak against low n (n = 1, 2, 3, 4, 5) and localized modes is investigated by use of ERATO-J code and by means of the Mercier criterion. Here n is the toroidal mode number. The shape of the plasma is assumed to simulate the experimental plasma in the flux conserver of CTCC-II at Osaka University. The beta limits for these modes are evaluated as a function of q(axis) to elucidate which mode gives a lower limit. Here q(axis) is the value of the safety factor on the magnetic axis. As a result, the beta limit of the spheromak is shown to be determined by the n = 1, the n = 2 and the localized modes. However, the Mercier criterion is shown to give an excellent measure for the stability against internal modes, if q(axis less-than-or-equal-to 0.9., PHYSICAL SOCIETY JAPAN KIKAI-SHINKO BUILDING, Feb. 1991, JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, 60, 2, 512-517, English, 0031-9015, 110001980041, WOS:A1991FD86700029 - ミュオン触媒核融合
1991, Research Report of Japan Atomic Energy Research Institute 「大強度陽子加速器計画」IAERI-M 91-095, 120-126 - 常温核融合のすべて：Part IV 常温核融合反応理論
1991, 原子力工業, 37, 40-48 - NEOCLASSICAL MHD EQUILIBRIA WITH OHMIC CURRENT
S TOKUDA; T TAKEDA; M OKAMOTO
PHYSICAL SOCIETY JAPAN, Mar. 1989, JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, 58, 3, 871-886, English, 0031-9015, 110001968815, WOS:A1989U402300025 - NEOCLASSICAL MHD EQUILIBRIA WITH OHMIC CURRENT
S TOKUDA; T TAKEDA; M OKAMOTO
PHYSICAL SOCIETY JAPAN, Mar. 1989, JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN, 58, 3, 871-886, English, 0031-9015, 110001968815, WOS:A1989U402300025 - 低温核融合に関する討論会について
1989, ISOTOPE NEWS, 423, 8-9 - 低温核融合の機構としてのフラクト・フュージョン
1989, 日本原子力学会核融合炉研究連絡会会報, 22, 59-62 - Fractofusion Mechanism
Tatsuoki Takeda; Tomonori Takizuka
With respect to cold fusion, a fractofusion mechanism is investigated. Deuterons are accelerated by the electric field generated between crack surfaces in a crystal. By assuming the possible magnitude of the potential difference, we calculate the fusion rate and energy multiplication factor. The results are consistent with those of the cold fusion experiments, and the fractofusion mechanism can explain the cold fusion phenomena successfully. © 1989, THE PHYSICAL SOCIETY OF JAPAN. All rights reserved., 1989, Journal of the Physical Society of Japan, 58, 9, 3073-3076, English, 1347-4073, 110001976745, 0039590691 - Fractofusion Mechanism
Tatsuoki Takeda; Tomonori Takizuka
With respect to cold fusion, a fractofusion mechanism is investigated. Deuterons are accelerated by the electric field generated between crack surfaces in a crystal. By assuming the possible magnitude of the potential difference, we calculate the fusion rate and energy multiplication factor. The results are consistent with those of the cold fusion experiments, and the fractofusion mechanism can explain the cold fusion phenomena successfully. © 1989, THE PHYSICAL SOCIETY OF JAPAN. All rights reserved., 1989, Journal of the Physical Society of Japan, 58, 9, 3073-3076, English, 1347-4073, 110001976745, 0039590691 - Database system GAEA for a large amount of numerical data
1988, Computer Physics Communications, 40, 21-46 - Database system GAEA for a large amount of numerical data
1988, Computer Physics Communications, 40, 21-46 - PLASMA SHRINKAGE DUE TO FREE-BOUNDARY KINK MODE IN A TOKAMAK
G KURITA; T TAKIZUKA; M AZUMI; T TAKEDA
INT ATOMIC ENERGY AGENCY, Jun. 1987, NUCLEAR FUSION, 27, 6, 1030-1036, English, Report scientific journal, 0029-5515, WOS:A1987J336000015 - PLASMA SHRINKAGE DUE TO FREE-BOUNDARY KINK MODE IN A TOKAMAK
G KURITA; T TAKIZUKA; M AZUMI; T TAKEDA
INT ATOMIC ENERGY AGENCY, Jun. 1987, NUCLEAR FUSION, 27, 6, 1030-1036, English, Report scientific journal, 0029-5515, WOS:A1987J336000015 - BUBBLE FORMATION DUE TO THE SURFACE TEARING MODE
G KURITA; M AZUMI; T TAKIZUKA; T TUDA; T TSUNEMATSU; Y TANAKA; T TAKEDA
INT ATOMIC ENERGY AGENCY, Apr. 1986, NUCLEAR FUSION, 26, 4, 449-460, English, 0029-5515, WOS:A1986C472700005 - BUBBLE FORMATION DUE TO THE SURFACE TEARING MODE
G KURITA; M AZUMI; T TAKIZUKA; T TUDA; T TSUNEMATSU; Y TANAKA; T TAKEDA
INT ATOMIC ENERGY AGENCY, Apr. 1986, NUCLEAR FUSION, 26, 4, 449-460, English, 0029-5515, WOS:A1986C472700005 - A MATRIX-METHOD FOR RESISTIVE MHD STABILITY ANALYSIS OF AXISYMMETRICAL TOROIDAL PLASMA
Y TANAKA; M AZUMI; G KURITA; T TSUNEMATSU; T TAKEDA
ELSEVIER SCIENCE BV, Dec. 1985, COMPUTER PHYSICS COMMUNICATIONS, 38, 3, 339-346, English, 0010-4655, WOS:A1985AZB3500003 - A MATRIX-METHOD FOR RESISTIVE MHD STABILITY ANALYSIS OF AXISYMMETRICAL TOROIDAL PLASMA
Y TANAKA; M AZUMI; G KURITA; T TSUNEMATSU; T TAKEDA
ELSEVIER SCIENCE BV, Dec. 1985, COMPUTER PHYSICS COMMUNICATIONS, 38, 3, 339-346, English, 0010-4655, WOS:A1985AZB3500003 - 核融合炉心プラズマ解析のためのTRITONコード・システム
1985, 原子力工業, 31, 36-41 - NUMERICAL STUDY OF M = 1 RESISTIVE INTERNAL KINK MODE IN A CYLINDRICAL TOKAMAK
Y TANAKA; M AZUMI; G KURITA; T TAKEDA
IOP PUBLISHING LTD, 1985, PLASMA PHYSICS AND CONTROLLED FUSION, 27, 5, 579-590, English, 0741-3335, 80002433138, WOS:A1985AJN0200005 - NUMERICAL STUDY OF M = 1 RESISTIVE INTERNAL KINK MODE IN A CYLINDRICAL TOKAMAK
Y TANAKA; M AZUMI; G KURITA; T TAKEDA
IOP PUBLISHING LTD, 1985, PLASMA PHYSICS AND CONTROLLED FUSION, 27, 5, 579-590, English, 0741-3335, 80002433138, WOS:A1985AJN0200005 - INTEGRATIVE GRAPHIC SUBROUTINE PACKAGE ARGUS-V4
T TAKEDA; T TSUNEMATSU; S TOKUDA
ELSEVIER SCIENCE BV, 1984, COMPUTER PHYSICS COMMUNICATIONS, 34, 1-2, 15-&, English, 0010-4655, WOS:A1984AAP8500003 - INTEGRATIVE GRAPHIC SUBROUTINE PACKAGE ARGUS-V4
T TAKEDA; T TSUNEMATSU; S TOKUDA
ELSEVIER SCIENCE BV, 1984, COMPUTER PHYSICS COMMUNICATIONS, 34, 1-2, 15-&, English, 0010-4655, WOS:A1984AAP8500003 - Numerical studies of toroidal coupling on low-m resistive modes
G. Kurita; M. Azumi; T. Tsunematsu; T. Takeda
Effects of the toroidicity and finite pressure on low-m ideal and resistive modes are studied numerically on the basis of the reduced set of the MHD equations. Both the linear and nonlinear analyses show that the m=2 mode is strongly destabilized by the above effects. The destabilization of the m=2 mode, however, is not directly related to the major disruptions. It is conjectured that the destabilized m=2 mode may change the equilibrium to the one unstable against the major disruption., 1983, Plasma Physics, 25, 10, 1097-1112, English, 0032-1028, 80001730294, 33846351601 - Numerical studies of toroidal coupling on low-m resistive modes
G. Kurita; M. Azumi; T. Tsunematsu; T. Takeda
Effects of the toroidicity and finite pressure on low-m ideal and resistive modes are studied numerically on the basis of the reduced set of the MHD equations. Both the linear and nonlinear analyses show that the m=2 mode is strongly destabilized by the above effects. The destabilization of the m=2 mode, however, is not directly related to the major disruptions. It is conjectured that the destabilized m=2 mode may change the equilibrium to the one unstable against the major disruption., 1983, Plasma Physics, 25, 10, 1097-1112, English, 0032-1028, 80001730294, 33846351601 - VECTOR PROCESSING EFFICIENCY OF PLASMA MHD CODES BY USE OF THE FACOM 230-75-APU
T MATSUURA; Y TANAKA; K NARAOKA; T TAKIZUKA; T TSUNEMATSU; S TOKUDA; M AZUMI; G KURITA; T TAKEDA
ELSEVIER SCIENCE BV, 1982, COMPUTER PHYSICS COMMUNICATIONS, 26, 3-4, 377-387, English, 0010-4655, WOS:A1982NY91400026 - Second stability region against the internal kink mode in a tokamak
1982, Nuclear Fusion, 22, 661-664 - VECTOR PROCESSING EFFICIENCY OF PLASMA MHD CODES BY USE OF THE FACOM 230-75-APU
T MATSUURA; Y TANAKA; K NARAOKA; T TAKIZUKA; T TSUNEMATSU; S TOKUDA; M AZUMI; G KURITA; T TAKEDA
ELSEVIER SCIENCE BV, 1982, COMPUTER PHYSICS COMMUNICATIONS, 26, 3-4, 377-387, English, 0010-4655, WOS:A1982NY91400026 - Second stability region against the internal kink mode in a tokamak
1982, Nuclear Fusion, 22, 661-664 - EFFECTS OF THE FINITE HYBRID ELEMENT ON MHD STABILITY CALCULATIONS IN A CYLINDRICAL PLASMA
T TAKIZUKA; S TOKUDA; M AZUMI; T TAKEDA
ELSEVIER SCIENCE BV, 1981, COMPUTER PHYSICS COMMUNICATIONS, 23, 1, 19-26, English, 0010-4655, WOS:A1981LV88400002 - EFFECTS OF THE FINITE HYBRID ELEMENT ON MHD STABILITY CALCULATIONS IN A CYLINDRICAL PLASMA
T TAKIZUKA; S TOKUDA; M AZUMI; T TAKEDA
ELSEVIER SCIENCE BV, 1981, COMPUTER PHYSICS COMMUNICATIONS, 23, 1, 19-26, English, 0010-4655, WOS:A1981LV88400002 - CONVERGENCE OF SOLUTIONS OF THE MHD STABILITY CODE ERATO
T TSUNEMATSU; T TAKEDA; T MATSUURA; G KURITA; M AZUMI
ELSEVIER SCIENCE BV, 1980, COMPUTER PHYSICS COMMUNICATIONS, 19, 2, 179-183, English, 0010-4655, WOS:A1980JZ70800003 - CONVERGENCE OF SOLUTIONS OF THE MHD STABILITY CODE ERATO
T TSUNEMATSU; T TAKEDA; T MATSUURA; G KURITA; M AZUMI
ELSEVIER SCIENCE BV, 1980, COMPUTER PHYSICS COMMUNICATIONS, 19, 2, 179-183, English, 0010-4655, WOS:A1980JZ70800003 - A new iterative method for solution of a large-scale general eigenvalue problem
1978, Journal of Computational Physics, 28, 2, 287-293, 0021-9991, 80013817980 - 流体モデルによる核融合プラズマの数値解析
竹田 辰興; 常松 俊秀; 栗田 源一
1978, 日本原子力学会誌, 20, 9, 606-612, 0004-7120, 40002892971 - A new iterative method for solution of a large-scale general eigenvalue problem
1978, Journal of Computational Physics, 28, 2, 287-293, 0021-9991, 80013817980 - Optimum design of control coils in tokamak device by nonlinear optimization
1977, Japanese Journal of Applied Physics, 16, 325-334 - Optimum design of control coils in tokamak device by nonlinear optimization
1977, Japanese Journal of Applied Physics, 16, 325-334 - Numerical method for solution of the integral equation of the first kind -Application to analysis of plasma density profile-
1976, Journal of Computational Physics, 21, 3, 305-318, 0021-9991, 80013534935 - Numerical method for solution of the integral equation of the first kind -Application to analysis of plasma density profile-
1976, Journal of Computational Physics, 21, 3, 305-318, 0021-9991, 80013534935 - ２１世紀の実現をめざす核融合
1975, KINZOKU, 75, 7, 8-15 - Behaviour of tokamak plasma on the dynamic limiter experiment
1975, Nuclear Fusion, 15, 637-642 - Behaviour of tokamak plasma on the dynamic limiter experiment
1975, Nuclear Fusion, 15, 637-642 - Estimation of the plasma characteristic quantities from the electromagnetic signals obtained in tokamak experiments
1974, Nuclear Instruments and Methods, 118, 299-305 - トカマク核融合実験装置
1974, 応用物理, 43, 246-254 - Dynamic limiter experiments in JFT-2 tokamak
1974, Nuclear Fusion, 14, 581-583 - Analysis of tokamak-plasma steady state by nonlinear programming
1974, Nuclear Fusion, 14, 577-579 - Stability experiment with dynamic limiter in JFT-2 tokamak
1974, Nuclear Fusion, 14, 451-453 - Estimation of the plasma characteristic quantities from the electromagnetic signals obtained in tokamak experiments
1974, Nuclear Instruments and Methods, 118, 299-305 - Dynamic limiter experiments in JFT-2 tokamak
1974, Nuclear Fusion, 14, 581-583 - Analysis of tokamak-plasma steady state by nonlinear programming
1974, Nuclear Fusion, 14, 577-579 - Stability experiment with dynamic limiter in JFT-2 tokamak
1974, Nuclear Fusion, 14, 451-453 - Stabilizing effect of resistive liner on kink instabilities
1973, Nuclear Fusion, 13, 119-120 - Stabilizing effect of resistive liner on kink instabilities
1973, Nuclear Fusion, 13, 119-120 - Major radius oscillation of plasma column
1972, Journal of Physical Society of Japan, 32, 1680 - Numerical analysis of magnetohydrodynamic instabilities by the finite element method
1972, Physics of Fluids, 15, 2193-2201 - Analysis of hydromagnetic plasma stability by the finite element method
1972, Nuclear Fusion, 12, 271-272 - Major radius oscillation of plasma column
1972, Journal of Physical Society of Japan, 32, 1680 - Numerical analysis of magnetohydrodynamic instabilities by the finite element method
1972, Physics of Fluids, 15, 2193-2201 - Analysis of hydromagnetic plasma stability by the finite element method
1972, Nuclear Fusion, 12, 271-272 - 核融合発電時代はいつ来るか
Jan. 1971, エネルギー, 4, 1, 17-21 - Collisional diffusion in the dc octopole
1971, Physical Review Letters, 27, 1179-1181 - An aspect of plasma diffusion in multipoles
1971, Nuclear Fusion, 11, 389-390 - Joule heating in JFT-2
1971, Japanese Journal of Applied Physics, 10, 1083-1089 - Collisional diffusion in the dc octopole
1971, Physical Review Letters, 27, 1179-1181 - An aspect of plasma diffusion in multipoles
1971, Nuclear Fusion, 11, 389-390 - Joule heating in JFT-2
1971, Japanese Journal of Applied Physics, 10, 1083-1089 - 理想のエネルギー源：核融合装置のいろいろ
Jul. 1969, 科学朝日, 29, 7, 86-88 - 核融合の開発
1969, 日本の科学と技術, 10, 8, 26-32 - Isochronous cyclotron with axially-symmetric electric and magnetic fields
1968, Japanese Journal of Applied Physics, 7, 1105-1113 - An electron model of axially symmetric isochronous cyclotron
1968, Japanese Journal of Applied Physics, 7, 85 - Isochronous cyclotron with axially-symmetric electric and magnetic fields
1968, Japanese Journal of Applied Physics, 7, 1105-1113 - An electron model of axially symmetric isochronous cyclotron
1968, Japanese Journal of Applied Physics, 7, 85 - On momentum compaction in a cyclic accelerator
1966, Journal of Physical Society of Japan, 21, 823-824 - On momentum compaction in a cyclic accelerator
1966, Journal of Physical Society of Japan, 21, 823-824