Researcher basic information

• 博士（理学）, お茶の水女子大学大学院, Mar. 2004

• https://researchmap.jp/FAeHBmOijRxaVIlbLhJf?lang=en

• https://jglobal.jst.go.jp/detail?JGLOBAL_ID=202101019693048318

• 20376859

• 202101019693048318

• 人材育成
• 可視化

• Energy Engineering, Nuclear engineering, 原子力人材育成
• Informatics, Software

• Master's degree program, Graduate School of Engineering
• Doctoral (PhD) degree program, Graduate School of Engineering

Research activity information

• Mar. 2013, 社団法人 日本原子力学会 計算科学技術部会, 大規模データの特徴抽出アプローチ
  部会ＣＧ賞
• Mar. 2011, 日本原子力学会, 平成22年度 日本原子力学会 計算科学技術部会 部会奨励賞
  大規模時系列データの総監可視化技術
• Nov. 2010, 全ＮＥＣ Ｃ＆Ｃシステムユーザー会, 大規模ネットワークデータの可視化
  入選
• May 2010, ＦＵＪＩＴＳＵファミリ会, 推奨論文賞
  時系列データを眺める技術
• Nov. 2009, 全ＮＥＣ Ｃ＆Ｃシステムユーザー会, 平成２１年度ユーザー事例論文
  シュミレーション結果の評価支援のためのデータ調査システム
• Mar. 2006, 社団法人 情報処理学会, 第58回研究会プレゼンテーション賞
  分枝限定法における計算過程の可視化

• Remote alpha/beta measurement system with support vector machine algorithm
  Morishita Yuki; Miyamura Hiroko; Sato Yuki; Matsubara Jun*; Sumali B.*; Mitsukura Yasue*
  Nuclear Instruments and Methods in Physics Research A, 1076, 170368\_1, 170368\_7, Jul. 2025, [Peer-reviewed]
  English, Decommissioning nuclear reactor sites presents challenges due to the presence of various radionuclides, including alpha emitters (e.g., Pu, Am, Cm) and beta emitters (e.g., $^{137}$Cs, $^{90}$Sr-$^{90}$Y), which pose significant internal exposure risks to workers. Traditional measurement methods require multiple instruments and are time-consuming, particularly in high gamma-ray environments. To address these issues, we developed a remote alpha and beta discrimination measurement system that integrates a stilbene scintillator detector with a silicon photomultiplier, enabling simultaneous detection of both alpha and beta particles. This study further incorporates machine learning techniques, specifically Support Vector Machines (SVM), for automatic discrimination, eliminating the need for user-defined thresholds and ensuring consistent operational conditions. The system was tested with known radiation sources, demonstrating over 96\% classification accuracy for alpha and beta particles. Measurements conducted in motion effectively identified contamination sources, confirming the system's capability for real-time analysis. This innovative approach enhances radiation safety and efficiency in nuclear decommissioning operations, making it particularly beneficial in environments where human access is limited.
• Development of contamination detection system combined with various remote devices
  Morishita Yuki; Miyamura Hiroko; Sato Yuki; Oura Masatoshi*
  Radiation Measurements, 171, 107064\_1, 107064\_7, Feb. 2024, [Peer-reviewed]
  English, The detection of alpha and beta contamination locations is important for decontaminating nuclear facilities. In the high radiation dose rate environment at the decommissioning sites, the contamination measurement by the workers is not effective. Thus, we developed a remote automatic contamination measurement system using a new scintillator-based detector. A 50 mm$\phi$ $\times$ 100-$\mu$m-thick YAlO$_{3}$(Ce)(YAP:Ce) scintillator was coupled with a flat panel-type multianode photomultiplier tube. The detector was installed downwards at the bottom of a robot. It has an energy measurement capability, and the energy measurement could discriminate the alpha particles from the beta and $^{222}$Rn alpha particles. With the energy information, alpha and beta particles could be identified and mapped simultaneously. In addition, a slow-moving robot could be used to obtain statistically sufficient counts in a single run measurement, allowing the evaluation of surface contamination density using only alpha particles. The remote automatic contamination measurement system will be useful in visualizing the contamination distribution in environments that are inaccessible to workers.
• LASSO reconstruction scheme to predict radioactive source distributions inside reactor building rooms; Practical applications
  Machida Masahiko; Shi W.*; Yamada Susumu; Miyamura Hiroko; Yoshida Toru*; Hasegawa Yukihiro*; Okamoto Koji; Aoki Yuto; Ito Rintaro; Yamaguchi Takashi; Suzuki Masahiro
  Proceedings of Waste Management Symposia 2023 (WM2023) (Internet), 11, Feb. 2023, [Peer-reviewed]
  English, In order to find radioactive hot spots inside reactor building rooms from structural data together with air dose rate measurement data, Least Absolute Shrinkage and Selection Operator (LASSO) has been recently suggested as a promising scheme. The scheme has been examined in simplified room models and its high estimation feasibility has been confirmed by employing Particle and Heavy Ion Transport code System (PHITS) as a radiation simulation code. In this paper, we apply the scheme to complex room models inside real reactor buildings. The target rooms are pool canal circulation system room and main circulation system room in Japan Materials Testing Reactor (JMTR) at Oarai area, Japan Atomic Energy Agency (JAEA). In these real rooms, we create STL format structural data based on Computer Aided Design (CAD) models made directly from their point group data measured by laser scanning devices, and we notice that the total number of their surface meshes in these real rooms reaches to the order of 1 million. Then, this order of the mesh number clearly indicates that one needs a simplified radiation simulation code considering only direct transmission of gamma ray as a radiation calculation instead of PHITS demanding high computational costs. By developing such a simplified code and customizing it to perform LASSO scheme, we consequently confirm that LASSO scheme driven by the simplified simulation can also successfully predict unknown radioactive hot spots on real structural models.
• Visual analysis of geospatial multivariate data for investigating radioactive deposition processes
  Shigeo Takahashi; Daisuke Sakurai; Miyuki Sasaki; Hiroko N. Miyamura; Yukihisa Sanada
  Visual Computer, 37, 12, 3039, 3050, Dec. 2021, [Peer-reviewed]
  English, Scientific journal
• Image Reconstruction of Radioactive Contamination Due to the Fukushima-Daiichi Nuclear Power Station Accident Using a Compact Compton Camera
  Yuki Sato; Yuta Terasaka; Hiroko Nakamura Miyamura; Masaaki Kaburagi; Yuta Tanifuji; Kuniaki Kawabata; Tatsuo Torii
  Reactor Dosimetry: 16th International Symposium, 428, 436, ASTM International, 01 Nov. 2018, [Peer-reviewed]
  English, In book, We developed a lightweight compact Compton camera to measure the distribution of radioactive contamination inside the Fukushima Daiichi Nuclear Power Station. We conducted performance evaluation tests in the coastal area of Fukushima, Japan, using the camera, which employs a cerium (Ce)-doped GAGG (Gd$_{3}$Al$_{2}$Ga$_{3}$O$_{12}$) scintillator coupled with a multipixel photon counter. The camera can clearly visualize spreading of radioactivity along the ground surface. In addition, we performed three-dimensional image reconstruction of the distribution of radioactive contamination using the multi-angle data obtained with the Compton camera. We succeeded in obtaining a three-dimensional image of radioactive contamination in the outdoor area.
• Remote radiation imaging system using a compact gamma-ray imager mounted on a multicopter drone
  Yuki Sato; Shingo Ozawa; Yuta Terasaka; Masaaki Kaburagi; Yuta Tanifuji; Kuniaki Kawabata; Hiroko Nakamura Miyamura; Ryo Izumi; Toshikazu Suzuki; Tatsuo Torii
  Journal of Nuclear Science and Technology, 55, 1, 90, 96, Informa UK Limited, 02 Jan. 2018, [Peer-reviewed]
  English, Scientific journal, A remote radiation imaging system comprising a lightweight Compton camera and a multicopter drone was developed to remotely and quickly measure radioactive contamination inside the buildings of the Fukushima Daiichi Nuclear Power Station (FDNPS). The drone system is used for measuring detailed radiation distributions in narrow areas, which have been difficult to gauge with conventional aircraft monitoring using helicopters. A measurement of radiation distributions in outdoor environments in the coastal areas of Fukushima, Japan, was performed. The drone system with the Compton camera succeeded in remote observations of dense hotspots from the sky over a contaminated area near the FDNPS. The time required for image reconstruction is approximately 550 s in the case of a 9-m flight altitude for the hotspots with a surface dose rate of several tens of $\mu$Sv/h. This drone system will be used inside the buildings of the FDNPS for remote measurement of radioactive contamination.
• Development of compact Compton camera for 3D image reconstruction of radioactive contamination
  Y. Sato; Y. Terasaka; S. Ozawa; H. Nakamura Miyamura; M. Kaburagi; Y. Tanifuji; K. Kawabata; T. Torii
  Journal of Instrumentation, 12, 11, C11007, C11007, IOP Publishing, 06 Nov. 2017, [Peer-reviewed]
  English, Scientific journal, The Fukushima Daiichi Nuclear Power Station (FDNPS), operated by Tokyo Electric Power Company Holdings, Inc., went into meltdown after the large tsunami caused by the Great East Japan Earthquake of March 11, 2011. Very large amounts of radionuclides were released from the damaged plant. Radiation distribution measurements inside the building of FDNPS are indispensable to execute the decommission tasks in the reactor buildings. We have developed a light-weight compact Compton camera to three-dimensionally measure the distribution of radioactive contamination inside FDNPS. The total weight of the Compton camera is lower than 1.0 kg. The $\gamma$-ray sensor of the Compton camera employs the Ce-doped GAGG scintillators coupled with a multi-pixel photon counter (MPPC: Hamamatsu Photonics K.K.,). We performed the 3D image reconstruction of the $^{137}$Cs-radioactive sources as shown in Fig. 1; the 3D radiation image is reconstructed using the multi-angle data measured with the Compton camera. Here, we introduce the development status of the 3D radiation imaging system consisting of the Compton camera. Moreover, we present the results of a performance evaluation test for 3D image reconstruction of radioactive contaminations in details.
• Radiation Imaging System using a Compact Gamma-ray Imager mounted on a Remotely Operated Machine
  Yuki Sato; Kuniaki Kawabata; Shingo Ozawa; Ryo Izumi; Masaaki Kaburagi; Yuta Tanifuji; Yuta Terasaka; Hiroko Nakamura Miyamura; Takuma Kawamura; Toshikazu Suzuki; Tatsuo Torii
  IFAC-PapersOnLine, 50, 1, 1062, 1066, Elsevier BV, Jul. 2017, [Peer-reviewed]
  English, Scientific journal, The development of remote and quick radiation imaging methods in the high dose-rate environment is requested to accelerate implementation of decommissioning of the Fukushima Dai-ichi Nuclear Power Plant (FDNPP). We developed the remote radiation imaging system consisting of a Compton camera and a multicopter drone to remotely measure the radioactive contamination on the several radioactive fields in the environment and inside the building of nuclear facilities such as the FDNPP. The drone system succeeded in the observation of several hotspots from the sky at the outdoor environments in coastal areas of Fukushima, Japan. In addition, we are now developing the SLAM technology for remotely operated machines such as the drone to complete the remote radiation imaging system, which can autonomous flight.
• Algebraic design of multi-dimensional transfer function using transfer function synthesizer
  Kawamura Takuma; Idomura Yasuhiro; Miyamura Hiroko; Takemiya Hiroshi
  Journal of Visualization, 20, 1, 151, 162, Feb. 2017, [Peer-reviewed]
  English, Scientific journal
• Inferring partial orders of nodes for hierarchical network layout
  Wu H.-Y.*; Takahashi Shigeo*; Miyamura Hiroko; Ozahata Satoshi*; Nakao Akihiro*
  Electronic Imaging, 2017, 1, 118, 130, Jan. 2017, [Peer-reviewed]
  English, Extracting hierarchical structures from networks provides us with an effective means of visualizing them, especially when they contain complicated node connectivities such as those in traffic and distributed networks. This paper presents an algorithm for inferring such partial orders by optimizing the network hierarchies along flow paths that are given as input. We study several network examples to demonstrate the feasibility of the proposed approach including course dependency charts, railway networks, and P2P networks.
• Inferring partial orders of nodes for hierarchical network layout
  Wu H.-Y.*; Takahashi Shigeo*; Miyamura Hiroko; Ozahata Satoshi*; Nakao Akihiro*
  Journal of Imaging Science and Technology, 60, 6, 060407\_1, 060407\_13, Nov. 2016, [Peer-reviewed]
  English, Extracting hierarchical structures from networks provides us with an effective means of visualizing them, especially when they contain complicated node connectivities such as those in traffic and distributed networks. This paper presents an algorithm for inferring such partial orders by optimizing the network hierarchies along flow paths that are given as input. We study several network examples to demonstrate the feasibility of the proposed approach including course dependency charts, railway networks, and P2P networks.
• Analyses for designing objects in mechanical design
  Nakajima Norihiro; Miyamura Hiroko; Kawakami Yoshiaki; Kawamura Takuma
  Kashika Joho Gakkai-Shi, 35, Suppl.1, 233, 238, Jul. 2015, [Peer-reviewed]
  Japanese, 機械構造物の想定される損傷の誘因定義し、これによる想定現現象を仮定し、損傷可能性箇所を分析する作業は、設計過程において重要である。本論では、地震による要因を例にとり、これにより想定されうる現象をシミュレーションし、その結果を数理的に分析することで損傷可能性箇所の情報可視化する技術を試作した。一般機械部品を例にとり、設計者が損傷可能性箇所を設計者の感性により理解するための手段として例証した。
• Visualization technique for large-scale data by particle-based volume rendering
  Kawamura Takuma; Idomura Yasuhiro; Miyamura Hiroko; Imamura Toshiyuki*; Takemiya Hiroshi
  Shisutemu Seigyo Joho Gakkai Rombunshi, 28, 5, 221, 227, THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE), May 2015, [Peer-reviewed]
  Japanese, However remote volume visualization is important to obtain knowledge from complicated large-scale simulation results on supercomputer, the rendering speed and data transfer speed becomes bottleneck of the conventional Client/Server volume visualization techniques. Client/Server visualization system using particle-based volume rendering enables interactive volume visualization, which converts the original volume data to small size light particle data utilizing the supercomputer and transfer the data to Client PC. This system generated the particle data at a few seconds using parallel process on supercomputer Kei with strong scaling till 1000 processers.
• Remote visualization system based on particle based volume rendering
  Kawamura Takuma; Idomura Yasuhiro; Miyamura Hiroko; Takemiya Hiroshi; Sakamoto Naohisa*; Koyamada Koji*
  Visualization and Data Analysis 2015 (Proceedings of SPIE Vol.9397) (Internet), 93970S\_1, 93970S\_8, Feb. 2015, [Peer-reviewed]
  English, International conference proceedings, In this paper, we propose a novel remote visualization system based on particle-based volume rendering (PBVR), which enables interactive analyses of extreme scale volume data located on remote computing systems. The remote PBVR system consists of Server, which generates particles for rendering, and Client, which processes volume rendering, and the particle data size becomes significantly smaller than the original volume data. Depending on network bandwidth, the level of detail of images is flexibly controlled to attain high frame rates. Server is highly parallelized on various parallel platforms with hybrid programing model. The mapping process is accelerated by two orders of magnitudes compared with a single CPU. The structured and unstructured volume data with 100 millions of cells is processed within a few seconds. Compared with commodity Client/Server visualization tools, the total processing cost is dramatically reduced by using proposed system.
• Multivariate volume rendering using transfer function synthesizer implemented in remote visualization system PBVR
  Kawamura Takuma; Idomura Yasuhiro; Miyamura Hiroko; Takemiya Hiroshi
  Proceedings of SIGGRAPH Asia 2015 (SA 2015) (Internet), 4, Jan. 2015, [Peer-reviewed]
  English, In this paper, we propose a novel transfer function design technique for multivariate volume rendering. This technique generates a multidimensional transfer function by logical synthesis of variables and transfer functions. This technique enables analysts to extract correlation of variables and to combine multivariate surface and volume shapes. And this technique is implemented in Remote Visualization System PBVR optimized to several supercomputers. An experiment for the multi-phase fuel melting simulation result in the nuclear energy field shows the powerful ability of this technique enough by extracting complex behavior of molten materials.
• Remote visualization system based on particle based volume rendering
  Kawamura Takuma; Idomura Yasuhiro; Miyamura Hiroko; Takemiya Hiroshi
  Nihon Shimyureshon Gakkai Rombunshi, 6, 2, 15, 26, Japan Society for Simulation Technology, Sep. 2014, [Peer-reviewed]
  Japanese, In this paper, we propose a novel remote visualization system based on particle-based volume rendering (PBVR). The system consists of a Server, which generates particles (rendering primitives), and a Client, which process volume rendering, and particles are transferred from Server to Client. The size of particle data is determined by the resolution of rendering images, and is significantly smaller than the original volume data. The smallness of the particle data is useful also for achieving a high frame rate. In the system, Server is highly parallelized on multiple GPGPUs using a hybrid MPI-CUDA programing model. The particle generation is accelerated by two orders of magnitudes compared with CPU, and structured and unstructured volume data with a hundred million cells are processed within a second. The total performance of remote visualization is compared against a commodity visualization tool, and an order of magnitude faster processing speed is achieved.
• 2-dimentional visualization technique for exploring region of interest in 4-dimensional data
  Miyamura Hiroko; Kawamura Takuma; Suzuki Yoshio; Idomura Yasuhiro; Takemiya Hiroshi
  Joho Shori Gakkai Rombunshi, 55, 9, 2216, 2224, Sep. 2014, [Peer-reviewed]
  Japanese, In numerical simulations, variations of calculation results with respect to a variable axis are often observed. When the target model is given in 3D, the simulation results become 4D. Such a multi-dimensional dataset given in more than 4D space is analyzed by detailed explorations of regions of interest (ROIs) in multi-dimensional space. However, for high-dimensional and large-scale datasets, this approach requires enormous processing time and effort, and may have difficulty in capturing all the ROIs. Therefore, we propose a technique that is based on a concept of spatiotemporal image. In our technique, a space axis is created by octree, a variable axis is defined in the direction perpendicular to the space axis. Our technique is applied to the results of 3D seismic simulations of a nuclear plant, and regions with characteristic frequency responses of each region are analyzed. Through the analyses, it is demonstrated that our technique can effectively capture ROIs from 4D datasets.
• Visualization technique for large-scale data using particle based volume rendering
  Kawamura Takuma; Idomura Yasuhiro; Miyamura Hiroko; Takemiya Hiroshi
  Dai-58-Kai Shisutemu Seigyo Joho Gakkai Kenkyu Happyokai Koenkai Koen Rombunshu (CD-ROM), 28, 5, 6, 227, THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE), May 2014, [Peer-reviewed]
  Japanese, However remote volume visualization is important to obtain knowledge from complicated large-scale simulation results on supercomputer, the rendering speed and data transfer speed becomes bottleneck of the conventional Client/Server volume visualization techniques. Client/Server visualization system using particle-based volume rendering enables interactive volume visualization, which converts the original volume data to small size light particle data utilizing the supercomputer and transfer the data to Client PC. This system generated the particle data at a few seconds using parallel process on supercomputer Kei with strong scaling till 1000 processers.
• R\&D of validity evaluation system for seismic simulation of entire nuclear plant
  Suzuki Yoshio; Miyamura Hiroko; Nakajima Norihiro
  Proceedings of 20th International Conference on Nuclear Engineering and the ASME 2012 Power Conference (ICONE-20 \& POWER 2012) (DVD-ROM), 9, Jul. 2012, [Peer-reviewed]
  English, To estimate real behavior accurately by numerical simulations, it is indispensable to evaluate validity of simulation results because numerical simulations include various uncertainties such as "uncertainty due to randomness" and "uncertainty due to lack of knowledge". As one of approaches to evaluate validity of simulation results, we introduce "the degree of certainty" of simulations to real behavior. Here, to get a more accurate degree of certainty, we try to confirm the degree of influence about unevenness of uncertainty and to reduce uncertainty due to lack of knowledge. For this, we research and develop a validity evaluation system composed of three tools. We have applied them to our seismic simulation system which enables to execute the assembly structure analysis of an entire nuclear plant and confirmed that their functions are applicable to the simulation.
• An approach to select and extract an interested partial model based on spatio-temporal feature analysis
  Miyamura Nakamura Hiroko; Kawamura Takuma; Suzuki Yoshio; Takemiya Hiroshi
  Proceedings of Annual / Fall Meetings of Atomic Energy Society of Japan, 2012, 365, 365, Atomic Energy Society of Japan, 2012
  Japanese, 我々は数値シミュレーションデータに対して、時間と空間に伴う物理値の変化を解析し、特徴領域を発見するための可視化技術、時空間データマップを開発した。本発表では、時空間データマップによって選択された興味ある領域に相当する部分モデルを抽出するためのアプローチを提案する。時空間データマップでは、3次元空間を再帰的分割によって階層構造で表現することで空間を1次元に投影する。このとき、階層構造の最下層ノードに、その領域に属する部分モデルをもたせる。特徴領域が時空間データマップ上で選択された場合には、これら最下層の部分モデル群から必要なデータを集め、統合・再構築して選択領域の部分モデルを作成する。本技術を原子力施設の耐震解析シミュレーション結果に適用し、解析結果を議論する。
• Visualization of blurry images of liquid by multi-scale analysis
  Miyamura Hiroko; Kureta Masatoshi; Segawa Mariko; Kubo Jun*; Saito Takafumi*; Suzuki Yoshio; Takemiya Hiroshi
  Visualization of Mechanical Processes (Internet), 1, 3, 8, Oct. 2011, [Peer-reviewed]
  English, The use of high frame rate neutron radiography has been proposed as a method for recording images of oil in a running car engine. However, it is difficult to capture the behavior of oil from such images, because the images are dark and blurry. Therefore, we attempt to overcome this problem using a multi-scale image processing technique, in which the oil regions are classified based on scale. This method can be used to focus attention on objects with a particular scale. In addition, we propose a technique by which to capture the time-dependent behavior of oil using spatio-temporal image analysis. Using these techniques, the region of interest can be determined and observed carefully.
• Spatio-temporal mapping; A Technique for overview visualization of time-series datasets
  Miyamura Hiroko; Hayashi Sachiko*; Suzuki Yoshio; Takemiya Hiroshi
  Progress in Nuclear Science and Technology (Internet), 2, 603, 608, Oct. 2011, [Peer-reviewed]
  English, Numerical simulations have recently increased in scale and have often output high dimensional datasets. This makes it difficult for users to quickly grasp physical phenomena involved in such datasets. To overcome this difficulty, we propose a spatio-temporal mapping technique (spatio-temporal map) by using an information visualization technique. The spatio-temporal map is generated by mapping the values of a 3D and time-evolving physical quantity into a 2D space with spatial and temporal axes. Here, 3D spatial information is condensed into one dimension by subdividing a target model with an octree. By using the map, users can quickly find regions of interest (ROI). In addition, users can interactively change several aspects of the map such as its resolution and color coding method. By applying the spatio-temporal map to a full-scale 3D vibration simulator for an entire nuclear power plant, we confirmed that the map is a useful technique to quickly identify appropriate ROI.
• Visualization of blurred images of liquid by multi-scale analysis
  Miyamura Hiroko; Kureta Masatoshi; Segawa Mariko; Kubo Jun*; Saito Takafumi*; Suzuki Yoshio; Takemiya Hiroshi
  Proceedings of 11th Asian Symposium on Visualization (ASV-11) (CD-ROM), 4, Jun. 2011, [Peer-reviewed]
  English, In this paper, we report that our image analysis technique, which has be proposed for analyzing large-scale and complex simulation and measurement experiment results in nuclear field was applied to the industrial problems. The Japan Atomic Energy Agency and Nissan Motor Co., Ltd. proposed a high-speed camera using neutron radiography, and developed the technology to capture the flow of oil in a car engine. However the recorded images are blurred, it is difficult to visualize and analyze the behavior of oil in detail. Therefore, we try to overcome this by using multi-scale analysis, which is an image processing technique on image emphasis. In addition, we present a spatio-temporal image analysis for capturing the behavior of oil that is not yet understood in detail. In this presentation, we discuss the effectiveness of our image analysis technique.
• Visualization system for large-scale network data; A Large scale data capture technique
  Miyamura Hiroko; Ozahata Satoshi*; Nakao Akihiro*; Kawashima Konosuke*; Teshima Naoya*; Suzuki Yoshio; Takemiya Hiroshi
  Zen NUA C\&C Shisutemu Yuzakai Heisei-22-Nendo Rombunshu (CD-ROM), 14, Feb. 2011, [Peer-reviewed]
  Japanese, Recently, construction of large-scale distributed file systems has become easier because of reduced hardware costs and the availability of large hard disks and faster networks. However, if the sizes and/or numbers become too large, occasionally even the data server manager cannot control the storage situation of the files. Therefore, we propose the concept of adaptive network graph display, in which the graph style can be changed according to the details of what the user details is observing, and construct a visualization system based on this concept. When observing data globally, the proposed system selectively displays information based on the clustering result, and when observing data locally, the system displays detailed information. This technique is a basic technology for computational science to achieve large-scale datasets handling and knowledge succession which is a problem in atomic energy related fields.
• Adaptive view-dependent tree graph visualization
  Miyamura Hiroko; Ozahata Satoshi*; Shinano Yuji*; Miyashiro Ryuhei*
  Proceedings of 8th International Joint Conference on Computer Science and Software Engineering (JCSSE-2011), 187, 192, Jan. 2011, [Peer-reviewed]
  English, This paper proposes an adaptive visualization technique for representing a large-scale hierarchical dataset within a limited display space. A hierarchical dataset has nodes and links that reveal the parent-child relationship between the nodes. These nodes and links are described using graphics primitives. When the number of these primitives is large, it is difficult to recognize the structure of the hierarchical data because several primitives overlap within a display space. In order To overcome this difficulty, we propose an adaptive visualization technique for hierarchical datasets. The proposed technique selects an appropriate graph style according to the nodal density in each area.
• Overview visualization of time-series dataset
  Miyamura Hiroko; Hayashi Sachiko; Suzuki Yoshio; Takemiya Hiroshi
  FUJITSU Fuamirikai Rombunshu (Internet), 15, Mar. 2010, [Peer-reviewed]
  Japanese, With the improvement in the performance of supercomputers, numerical simulations have become complex and the simulation results have become large-scale. It has made the interpretation of simulation results difficult. Therefore, we propose a spatio-temporal visualization system "spatio-temporal map" for interpreting the time-series simulation results. The spatio-temporal map is an information visualization technique useful for specifying the feature area from simulation and measurement results. In the map, the change of a physical quantity is allocated in two-dimensional space with spatial and temporal information in each dimension. In this paper, we demonstrate the effectiveness of the proposed method by applying it to the large scale simulation results.
• Data exploration system for the evaluation of numerical simulation results
  Miyamura Hiroko; Nakajima Kohei*; Suzuki Yoshio; Hayashi Sachiko; Takemiya Hiroshi; Nakajima Norihiro
  Zen NEC C\&C Shisutemu Yuza Kai Heisei-21-Nendo Rombunshu (CD-ROM), 12, Feb. 2010, [Peer-reviewed]
  Japanese, In this paper, we propose data exploration system for the evaluation of numerical simulation results. With the improvement in the performance of supercomputers, numerical simulations have become larger and more complex, which has made the interpretation of simulation results more difficult. Moreover, occasionally, users cannot evaluate numerical simulation results, even though they have spent a great deal of time, because interactive visualization is impossible for such large-scale data. Therefore, we herein propose a data exploration system with which users evaluate large-scale time-series data that has been obtained in a parallel and distributed environment. The proposed system allows users to simultaneously visualize and analyze data in both the global and local scales.
• Design of scientific concept vocabulary for cognitive methodology based on data analysis system
  Kino Chiaki; Suzuki Yoshio; Miyamura Hiroko; Takemiya Hiroshi; Nakajima Norihiro
  Nihon Keisan Kogakkai Rombunshu (Internet), 2009, 22, 12, Nov. 2009, [Peer-reviewed]
  Japanese, Scientific Concept Vocabulary (SCV) has been proposed to actualize Cognitive methodology based Data Analysis System: CDAS which supports researchers to analyze large scale data efficiently and comprehensively. In the information model of SCV, all semantic information is related to substantial data and algorisms. Consequently, SCV enables a data analysis system to process semantic information for physics and engineering. Using SCV, it is hoped that CDAS is able to extract semantic information from numerical simulation data. In this paper, the prototype of SCV has been constructed and applied to actual data of numerical simulation in order to confirm the implementability of the system.
• Visualization of runtime behavior of branch-and-bound algorithms
  Miyamura Hiroko; Shinano Yuji*; Miyashiro Ryuhei*; Saito Takafumi*
  Joho Shori Gakkai Rombunshi; Suri Moderuka To Oyo (Internet), 2, 2, 103, 112, Mar. 2009, [Peer-reviewed]
  Japanese, In branch-and-bound algorithms for integer programming, runtime behavior of the algorithms depends much on branching strategy. However, from a huge computation log of a large program, it is difficult to explore a key factor for effective branching. To analyze which factor of branching strategy is essential, we develop a system for visualization of growing process of a large branch-and-bound tree. The proposed system provides intuitive understanding how branching strategy affects branch-and-bound process.

• The Japanese National Team to winning medals at the International Nuclear Science Olympiad (INSO) 2025 in Malaysia
  Miyamura Hiroko, NL Dayori, 580, 2, Apr. 2026
  日本原子力研究開発機構(JAEA)原子力人材育成・核不拡散・核セキュリティ総合支援センターが実施した、INSO2025日本代表選手のためのJAEA合宿について報告する。JAEAは、原子力分野を牽引する専門家集団として、次世代の科学者・技術者の育成に力を入れており、INSOの理念に共感し、JAEA合宿を開催した。オープン教材などを活用して専門知識を主体的に学んだ代表選手に対しては、知識を自らの手で再現し、現象をデータとして取得・整理・解析する実習を指導し、選手のメダル獲得に貢献した。, Japanese
• Diversity Promotion Committee activities, 6; Information sharing through website and social media
  Yoshihashi Sachiko*; Miyamura Hiroko; Sagai Mito*, Nihon Genshiryoku Gakkai-Shi ATOMO$\Sigma$, 67, 9, 548, 549, Sep. 2025
  ダイバーシティ推進委員会では、日本原子力学会におけるダイバーシティ推進活動を広く普及するため、2021年8月にホームページをリニューアルし、本委員会で実施している様々な活動をわかりやすく紹介するなど積極的な情報発信を行っている。現在ホームページでは、本委員会が推進しているアクションプランの理念に関連した各常置委員会の目標シートやアンケートの結果などが閲覧できる。また昨今のSNS普及に伴い、主に若者をターゲットに、情報の適時性をより重視したリアルタイムでの発信を目指して、2023年11月からはインスタグラムを立ち上げて運用している。, Japanese
• Diversity Promotion Committee activities, 4; Diversity Promotion Committee activities, The Appeal of nuclear power based on survey results
  Miyamura Hiroko; Yoshihashi Sachiko*; Nishimura Akihiko, Nihon Genshiryoku Gakkai-Shi ATOMO$\Sigma$, 67, 7, 424, 425, Jul. 2025
  日本原子力学会ダイバーシティ推進委員会では、多様性を尊重し、誰もが活躍できる環境を整えることを目的として、ダイバーシティ\&インクルージョンの推進に積極的に取り組んでいる。その取組の一環として、特に女性や若手の会員数増加を目指し、原子力・放射線分野における進路選択やキャリア形成に関する意識調査を実施した。本調査では、回答者がどのようなきっかけで原子力に興味を持ったのか、関心を抱いた時期や背景、そして進路選択に影響を与えた要因などを調査した。これらの調査結果をまとめたので報告する。, Japanese
• Diversity Promotion Committee activities, 2; Diversity Promotion Committee activities, Natsugaku
  Ishizuka Chikako*; Hagura Naoto*; Miyamura Hiroko, Nihon Genshiryoku Gakkai-Shi ATOMO$\Sigma$, 67, 5, 300, 301, May 2025
  女子中高生夏の学校(以降、夏学と略記する)は文部科学省や内閣府男女共同参画局をはじめ、国内の様々な学会や企業が後援し、全国から100名の理系志望の女子中高生が集まる夏の一大イベントである。実は日本原子力学会では2005年の第1回夏学の立ち上げ時期からその活動に深く関わっている。約20年に亘る本学会の夏学への取り組みの結果、最近では夏学をきっかけに原子力業界に就職した元女子中高生もチラホラと出てきた。そこで夏学でのどのような活動が女子中高生の原子力業界への関心をひくのに役立ったのかという点を明らかにするべく、本学会ダイバーシティ委員およびその前進である男女共同参画ワーキンググループのかつてのメンバーの間で先日座談会を開催した。本記事では座談会でのやり取りをもとに、夏学立ち上げ時期に活躍した本学会の先達や、学生時代に夏学に関係した後に原子力業界に就職した方から聞き取ったエピソードを交えながら、本学会の夏学における約20年の関わりの変遷を振り返る。, Japanese
• R\&D of digital technology on inverse estimation of radioactive source distributions and related source countermeasures; R\&D status of digital platform including 3D-ADRES-indoor
  Machida Masahiko; Yamada Susumu; Kim M.; Okumura Masahiko; Miyamura Hiroko; Shikaze Yoshiaki; Sato Tomoki*; Numata Yoshiaki*; Tobita Yasuhiro*; Yamaguchi Takashi; Suzuki Masahiro; Okamoto Koji; Shi W.*; Yoshida Toru*; Furutachi Naoya*; Yanagi Hideaki*; Hasegawa Yukihiro*, RIST News, 69, 2, 18, Sep. 2023
  The contamination of radioactive materials leaked from the reactor has resulted in numerous hot spots in the Fukushima Daiichi Nuclear Power Station (1F) building, posing obstacles to its decommissioning. In order to solve this problem, JAEA has conducted research and development of the digital technique for inverse estimation of radiation source distribution and countermeasures against the estimated source in virtual space for two years from 2021 based on the subsidy program "Project of Decommissioning and Contaminated Water Management" performed by the funds from the Ministry of Economy, Trade and Industry. In this article, we introduce the results of the project and the plan of the renewal project started in April 2023. For the former project, we report the derivative method for LASSO method considering the complex structure inside the building and the character of the source and show the result of the inverse estimation using the method in the real reactor building. Moreover, we explain the platform software "3D-ADRES-Indoor" which integrates these achievements. Finally, we introduce the plan of the latter project., Japanese
• R\&D of digital technology on inverse estimation of radioactive source distributions and related source countermeasures; R\&D status of digital platform including 3D-ADRES-indoor
  Machida Masahiko; Yamada Susumu; Kim M.; Okumura Masahiko; Miyamura Hiroko; Malins A.; Shikaze Yoshiaki; Sato Tomoki*; Numata Yoshiaki*; Tobita Yasuhiro*; Yamaguchi Takashi; Suzuki Masahiro; Okamoto Koji; Shi W.*; Yoshida Toru*; Furutachi Naoya*; Yanagi Hideaki*; Hasegawa Yukihiro*, RIST News, 68, 3, 19, Sep. 2022
  The contamination of radioactive materials leaked from the reactor has resulted in numerous hot spots in the Fukushima Daiichi Nuclear Power Station (1F) building, posing obstacles to its decommissioning. In order to solve this problem, JAEA has conducted research and development of the digital technique for inverse estimation of radiation source distribution and countermeasures against the estimated source in virtual space for two years from 2021 based on the subsidy program "Project of Decommissioning and Contaminated Water Management" performed by the funds from the Ministry of Economy, Trade and Industry. In this article, we introduce the results of the project and the plan of the renewal project started in April 2023. For the former project, we report the derivative method for LASSO method considering the complex structure inside the building and the character of the source and show the result of the inverse estimation using the method in the real reactor building. Moreover, we explain the platform software "3D-ADRES-Indoor" which integrates these achievements. Finally, we introduce the plan of the latter project., Japanese
• Visualization in response analyses for a nuclear power plant
  中島憲宏; 西田明美; 宮村(中村)浩子; 飯垣和彦; 沢和弘, 可視化情報学会誌, 36, Suppl.2(CD-ROM), 4, Oct. 2016
  Since nuclear power plants have dimensions approximately 100m$^{3}$ and their structures are an assembly made up of over 10 million components, it is not convenient to experimentally analyze its behavior under strong loads of earthquakes, due to the complexity and hugeness of plants. The proposed system performs numerical simulations to evaluate the behaviors of an assembly like a nuclear facility. The paper discusses how to carry out visual analysis for assembly such as nuclear power plants. In a result discussion, a numerical experiment was carried out with a numerical model of High Temperature engineering Test Reactor of Japan Atomic Energy Agency and its result was compared with observed data. A good corresponding among them was obtained as a structural analysis of an assembly by using visualization. As a conclusion, a visual analytics methodology for assembly is discussed., Japanese
• Level of Detail Control for Environmental Monitoring Datasets
  Nakamura MIYAMURA Hiroko; TAKEMIYA Hiroshi; Wu Hsiang-Yun; TAKAHASHI Shigeo, Journal of the Visualization Society of Japan, 36, 143, 10, 14, Oct. 2016
  Broad survey on the distribution of the air dose rate has been performed after the accident at the Fukushima Daiichi Nuclear Power Plant continuously. The surveyed monitoring datasets are stored in a database and are made available to the public. Recently, the size of the datasets have been significantly increased as more detailed measurements in space and time are available, and effective reduction of the size of the datasets is necessary for visualizing and exploring such large scale datasets. However, if the datasets are not carefully reduced, we often miss a part of important features of the distribution data. Therefore, we develop an effective Level of Detail control (LoD) method for retaining critical features of the distribution. In the method, the global and local features of the distribution are extracted by means of differential topology analyses. Then, the simplified data is created by edge collapse operation with taking into account these features of the data., The Visualization Society of Japan, English
• An Illustration by the next generation numerical simulator for quake-proofing on the K
  Nakajima Norihiro; Suzuki Yoshio; Miyamura Hiroko; Nishida Akemi; Kawakami Yoshiaki; Guo Z.; Tomiyama Eiji*, Keisan Kogaku, 20, 4, 3338, 3340, Dec. 2015
  The issue 5 in the field 4 of "Monodukuri" in the HPCI strategy project is introduced. The title of the issue 5 is "research and development for the next-generation earthquake-resistant simulation of the large plants such as nuclear energy facilities". The illustration intends for a high temperature engineering examination research reactor. Implementation of FIESTA (Finite Element Analysis for Structure of Assembly) on K is described by reporting its efficiency and performance. To show a result of the numerical analysis, a visualization technique for the big data was described., Japanese
• Information visualization to analyze large scale scientific data
  Nakamura Miyamura Hiroko; Kawamura Takuma; Suzuki Yoshio; Idomura Yasuhiro; Idomura Yasuhiro, The Computational Mechanics Conference, 2014, 27, 202, 203, 22 Nov. 2014
  本稿では,多変量時系列シミュレーションデータに対する解析のための情報可視化ツールを提案する.時系列データに対して我々は時空間データマップという,8分木を用いた空間軸と時間軸からなる2次元の可視化空間に物理値の分布をマッピングする手法を提案した.この手法と,多変量データの可視化手法であるパラレルコーディネイトを組み合わせることで,時系列・多変量データの可視化ツールを構築する.このツールを用いることで,まずは観察すべき物理データをパラレルコーディネイトから選択し,次に選択した物理値の空間・時間的な分布を時空間データマップによって観察する.本ツールを原子力プラントの振動解析結果に適用した結果を併せて紹介する., The Japan Society of Mechanical Engineers, Japanese
• Acceleration of Particle Generation for Remote Visualization System using Particle-based Volume Rendering
  Kawamura Takuma; Miyamura(Nakamura) Hiroko; Idomura Yasuhiro; Takemiya Hiroshi, The Proceedings of The Computational Mechanics Conference, 2014, 0, 204, 205, 2014
  複雑なシミュレーション結果を解析し,理解する上で,スーパーコンピュータ上の大規模データをボリュームレンダリングで可視化することが有効である.粒子ベースボリュームレンダリングを利用した遠隔可視化システムは,大規模なボリュームデータをサイズの小さい可視化用粒子データに変換することで従来手法のメモリ使用量,および,データ転送量の問題を解決し,対話的な遠隔可視化を可能とする.本研究ではスーパーコンピュータ上で動作するサーバ処理の負荷分散システムを構築し,京コンピュータ及びBX900を利用して約1000並列までのストロングスケーリングを達成し,一億要素のデータを数秒で処理した., The Japan Society of Mechanical Engineers, Japanese
• Visualization of overlay network using autonomous system relationships
  Miyamura Hiroko; Hu H.-Y.*; Yoshida Masahiro*; Ozahata Satoshi*; Nakao Akihiro*; Takahashi Shigeo*, Shingaku Giho, 112, 463, 577, 582, Mar. 2013
  This report presents a method for visualizing scale-free networks including Overlay networks as an typical example. Visualizing large-scale and complicated networks such as social networks has recently been very popular while conventional network visualization techniques cannot allow us to understand the topological structure of the scale-free networks. This is because the vertex degrees vary at an exponential rate in the scale-free network and thus special attention should be given when visualizing the network connectivity and analyzing the network traffic there. In this report, we employ the hierarchical representation of the scale-free network by referring to their vertex degrees and autonomous system relationships, so that we can clearly visualize the topological structure of the network in 3D space and retrieve the traffic paths over the network., Japanese
• Research and development of full-scale three-dimensional vibration simulator for nuclear plant
  Nishida Akemi; Suzuki Yoshio; Yamada Tomonori; Kino Chiaki; Uzawa Ken*; Miyamura Hiroko; Kawamura Takuma; Takemiya Hiroshi; Nakajima Norihiro, RIST News, 54, 33, 37, Jan. 2013
  Nuclear plants are complicated and huge structures and consist of a large number of parts. To simulate the behavior of such a complicated huge structure, it becomes important the viewpoint as a general system including pre-post-processing. Therefore, the CCSE proposed an approach for assembly structure analysis and implemented a framework of a full-scale 3D vibration simulator for an entire nuclear plant. Until now, we performed numerical experiments using the data of a building and equipment of HTTR, Oarai R\&D Center, JAEA, and demonstrated that earthquake response simulation of large-scale structure as an entire nuclear plant was possible so far. In this report, the framework of the full-scale 3D vibration simulator, the assembly structure analysis approach and visualization technology for an evaluation of the results are shown. And finally, an example of application of the simulator for probabilistic risk assessment, PRA, started from 2011, is shown., Japanese
• Visualization for tensor volume data
  Kawamura Takuma; Miyamura Hiroko, Shimyureshon Jiten, 223, Feb. 2012
  Simulation technology is gaining its importance. In order to get an overview of the current state of the simulation, Simulation Dictionary is published by Japan society for simulation technology, which systematically describes its basics and applications. In this dictionary, I wrote an item "visualization for tensor volume dataset". I surveyed the related techniques and summarized tensor glyph, hyper stream line, and degenerating point detection in tensor field., Japanese
• High performance computing for analyzing PB-scale data in nuclear experiments and simulations
  Tatekawa Takayuki; Teshima Naoya*; Kushida Noriyuki; Miyamura Hiroko; Kim G.; Takemiya Hiroshi, High Performance Computing on Vector Systems 2011, 107, 117, Jan. 2012
  原子力分野において実験装置の大規模化,計算機の性能向上に伴い、実験,シミュレーションが大規模なものになっている。これに伴い、出力される実験データ,シミュレーションデータも大規模化している。今後の原子力分野の研究において、得られた大規模データを効率よく解析し、有用な情報を得ることが必要となる。われわれは大規模データの解析に対し研究者が随時利用できるシステムを構築しており、今回2つの要素技術について取り上げる。1つは特定処理を高速化するプロセッサを用いて、データ解析を高速化する方法である。もう1つは多数の汎用PCに対し大規模データを分散記録し、解析処理を並列に行う方法である。これらの要素技術を用いたデータ解析システムの開発成果について発表する。この技術は原子力課題において、実験やシミュレーションから得られる大規模データ解析を高速化するための、計算機基盤技術である。, English
• R&D of Validity Evaluation System for Seismic Simulation of Nuclear Power Plant
  Suzuki Yoshio; Miyamura Hiroko, Keisan Kogaku Koenkai Rombunshu (CD-ROM), 16, 4p, May 2011
  Our goal is to evaluate the validity of results obtained from seismic simulation of entire nuclear power plant, and then to estimate real phenomena. In this study, we have established a trial system to evaluate the validity by automatically abstracting a characteristic spatial profile of physical values in consideration of uncertainty caused by discretization, as one of methods to reveal factors of various uncertainties included in the simulation. By applying the system to a seismic simulation, we have confirmed that various characteristic spatial profiles of stress with error estimation are automatically classified and abstracted from the simulation result., 日本計算工学会, Japanese
• Spatio-temporal mapping; A Technique for overview visualization of time-series datasets
  Miyamura Hiroko; Hayashi Sachiko*; Suzuki Yoshio; Takemiya Hiroshi, Proceedings of Joint International Conference of 7th Supercomputing in Nuclear Application and 3rd Monte Carlo (SNA + MC 2010) (USB Flash Drive), 4, Oct. 2010
  We propose a spatio-temporal information mapping technique and the map design function. The spatio-temporal map is created by spatio-temporal information mapping technique. In the map, the change of a physical quantity is allocated in two-dimensional space with spatial and temporal information in each dimension. By the way, it is helpful for users to change the map interactively, such as changing the resolution of the map, colored physical quantity, and so on. Therefore, the function enabling users to design the map by changing the tree structure is also developed., English
• Adaptive visualization for analyzing large-scale network datasets
  Miyamura Hiroko; Ozahata Satoshi*; Nakao Akihiro*; Kawashima Konosuke*, Shingaku Giho, 110, 190, 103, 108, Sep. 2010
  In this paper, we propose a visualization technique for handling large-scale experiment datasets in distributed file system. Traditional network visualization techniques have problem that not all data can be displayed at the same time because the file-sharing network data is too large-scale. Therefore, we propose a concept of adaptive network graph display, in which the graph style can be changed according to the details of user's observation. We construct a visualization system based on this concept. When observing data globally, the proposed system selectively displays information based on the clustering result, and when observing data locally, the system displays detailed information. This technique is a basic technology for computational science to achieve large-scale datasets handling which is a problem in atomic energy related fields., Japanese
• Adaptive visualization for large-scale graph
  Miyamura Hiroko; Shinano Yuji*; Ozahata Satoshi*, Journal of the Visualization Society of Japan, 30, Suppl.1, 273, 276, Jul. 2010
  We propose an adaptive visualization technique for representing a large-scale hierarchical dataset within limited display space. A hierarchical dataset has nodes and links showing the parent-child relationship between the nodes. These nodes and links are described using graphics primitives. When the number of these primitives is large, it is difficult to recognize the structure of the hierarchical data because many primitives are overlapped within a limited region. To overcome this difficulty, we propose an adaptive visualization technique for hierarchical datasets. The proposed technique selects an appropriate graph style according to the nodal density in each area., 可視化情報学会, Japanese
• Spatio-temporal visualization
  Miyamura Hiroko; Suzuki Yoshio; Takemiya Hiroshi, Journal of the Visualization Society of Japan, 30, Suppl.1, 269, 272, Jul. 2010
  We propose a spatio-temporal visualization technique. The spatio-temporal visualization technique, which is created by spatio-temporal information mapping, is an information visualization technique useful for specifying the feature area from simulation and measurement results. In the map, the change of a physical quantity is allocated in two-dimensional space with spatial and temporal information in each dimension. By applying the spatio-temporal visualization technique to the three-dimensional virtual vibration simulator, we confirmed that the technique was helpful to detect the region of interest., 可視化情報学会, Japanese
• R&D of Atomic Energy Grid Infrastructure AEGIS
  Suzuki Yoshio; Tatekawa Takayuki; Kim G.; Kino Chiaki; Miyamura Hiroko; Teshima Naoya; Hayashi Sachiko*; Aoyagi Tetsuo; Takemiya Hiroshi; Nakajima Norihiro, Keisan Kogaku Koenkai Rombunshu, 15, 2, 1051, 1054, May 2010
  We have developed the Atomic Energy Grid InfraStructure (AEGIS) for establishing computational infrastructure for nuclear field. In this R\&D we have inherited the knowledge and skills in ITBL Infrastructure developed in the national project ITBL (Information Technology Based Laboratory), which aims at establishment of virtual research environment where supercomputers and data bases are connected by network. Here we have focused on two issues: improvements of safety and usability. For the safety, we have made the authentication mechanism double with both the personal certification and the machine certification. For the usability, we have developed the grid-enabled client API to use grid functions on a user terminal. By those R\&Ds, we have successfully contributed to various nuclear researches, such as "full scale 3D vibration simulator for an entire nuclear power plant", "simulation for predicting quake-proof capability of nuclear power plants", and so on., 日本計算工学会, Japanese
• A Network visualization system focusing on important nodes
  Miyamura Hiroko; Ozahata Satoshi*; Nakao Akihiro*; Kawashima Konosuke*; Suzuki Yoshio, Shingaku Giho, 109, 448, 357, 362, Mar. 2010
  We propose a visualization system for file-sharing network data. The file-sharing networks have some problems, for example: the contents distribution of the copyright infringement files, an increase in the amount of traffic, and so on. To handle these problems, techniques for observing the network state and controlling the file sharing are proposed. In addition, the proposed techniques realize effective control by giving retrieval control to the key nodes, which are important roles in the file-sharing network., Japanese
• A Network visualization system with interactive operations for important nodes discovery
  Miyamura Hiroko; Ozahata Satoshi*; Nakao Akihiro*; Kawashima Konosuke*; Suzuki Yoshio, Denki Gakkai Kenkyukai Shiryo, Sangyo Keisoku Seigyo Kenkyukai (IIC-10-85), 27, 32, Mar. 2010
  We propose a network visualization system for a file-sharing network data-set. The network dataset consists of the information on nodes and links. As the number of links increases, the visualization of the network becomes challenging since the links usually cross over one another, which makes it hard to understand the structure of the network through the visualization. In order to present a network structure clearly and to identify keynodes that play important roles in the network, we propose a network visualization system. In this research, we propose additional techniques that support users searching the key node by using interactive functions such as filtering and node arranging., Japanese
• Visualization for atomizing liquid by using multi scale analysis
  Miyamura Hiroko; Kureta Masatoshi; Segawa Mariko; Kubo Jun*; Saito Takafumi*; Suzuki Yoshio; Takemiya Hiroshi, Denki Gakkai Kenkyukai Shiryo, Sangyo Keisoku Seigyo Kenkyukai (IIC-10-73), 7, 12, Mar. 2010
  An experiment is conducted to measure the water and oil in a metallic object by neutron radiography. In this approach, visualization of the oil in a rotating car engine at high speed is achieved by using the proposed high-speed camera. However, because the oil is mist and liquid, it is difficult to identify these conditions and to analyze them. Therefore, we try to identify the oil condition in the engine by employing a multi-scale analysis, which is an image processing technique., Japanese
• A Large scale network visualization for important nodes discovery
  Miyamura Hiroko; Ozahata Satoshi*; Nakao Akihiro*; Kawashima Konosuke*; Suzuki Yoshio, Shingaku Giho, 109, 188, 85, 90, Sep. 2009
  We propose a network visualization method for a large-scale file-sharing network dataset. The network dataset has nodes and links that represent the connection between two nodes. When the number of links is large, it is difficult to recognize the structure of the network data, because many links are crossed. In this context, for recognizing the structure and exploring the key nodes, we propose a link-less network visualization method using matrix based representation. In addition, we demonstrate the effectiveness of the proposed method by applying it to the file-sharing network log data., Japanese
• Spatio-temporal map for time-series data visualization
  宮村(中村) 浩子; 鈴木 喜雄; 武宮 博, Proceedings of the conference on computational engineering and science, 14, 1, 157, 160, May 2009
  日本計算工学会, Japanese
• VAULT; Visualization and analysis utility for large tree structure
  Miyamura Hiroko, Kyoto Daigaku Suri Kaiseki Kenkyujo Kokyuroku 1644, 12, 19, Apr. 2009
  We propose an adaptive visualization technique for a large-scale hierarchical dataset within limited display space. A hierarchical dataset has nodes and links that represent the parents/child relationship. These nodes and links are described using graphics primitives. When the number of these primitives is large, it is difficult to recognize the structure of the hierarchical data, because many primitives are overlapped within a limited region. In this context, we propose an adaptive visualization technique for hierarchical datasets. The proposed technique selects an appropriate graph style based on the density of the nodes. In addition, we demonstrate the effectiveness of the proposed method by applying it to the growing process of a large branch-and-bound tree., Japanese
• Web Proxy Server Analysis System Using a Visualization of the Huge Log
  SAKAMOTO Ryohei; SEGAWA Hirokatsu; NAKAMURA MIYAMURA Hiroko; SAITO Takafumi, IPSJ SIG Notes, 2006, 119, 65, 70, 16 Nov. 2006
  In this paper, we propose an analysis system on a Web proxy server by visualizing huge log data. By analyzing log data, we can comprehend the actual status of traffic, cache, and so on. By using the existing tools, however, can only show the summary at a same time because the log data size is too large to be displayed on the computer screen. That is why it is difficult to analyze the detailed status. Our visualization technique enables to display the lots of data on the screen and to get the detailed information of the Web proxy server effectively. For visual data mining, there are several interactive operations we also provide., Information Processing Society of Japan (IPSJ), Japanese

• Human resource development in the nuclear energy field
  Miyamura Hiroko
  次世代人材育成のための映像教材基盤の構築, Japanese
  Aug. 2026, 原子力分野を持続的に発展させていくためには、専門的な知識や技術を有する人材を育成するだけでなく、仕事に対する責任感や使命感、誇りを次の世代へどのように伝えていくかが重要である。特に、これからの原子力分野を担う指導者層には、自らが培ってきた経験や価値観を次世代へ伝えるとともに、若い世代が自ら考え、挑戦し、成長していく環境をつくることが求められている。本講演では、講演者がこれまで約6年間、人材育成に関わる業務を通じて調査・訪問してきた、大学や企業等における様々な人材育成の取組を紹介する。教育内容や研修手法だけでなく、若手の意欲を引き出す工夫、仕事の魅力や使命を伝える方法、指導する側とされる側の関係づくりなど、各機関の事例から得られた気づきを共有する。, [Domestic Conference]
• Development of radiation source inverse estimation technique using machine learning
  Machida Masahiko; Yamada Susumu; Kim M.; Miyamura Hiroko; Iwata Ayako*; Tobita Yasuhiro*; Iino Yutaka*; Aoki Kazuhisa; Tateishi Dai; Shimizu Harunori; Yanagisawa Kenichi*; Koizumi Kenji; Akiyama Yoichi; Suzuki Masahiro; Ichiba Yuta*; Matsuura Hideo*; Okamoto Koji*
  日本原子力学会2026年春の年会, Japanese
  Mar. 2026, 熊本, Japan, Minimizing radiation exposure and improving the high-radiation environment within the Fukushima Daiichi Nuclear Power Station (1F) reactor buildings are essential for safe and efficient decommissioning. To address this, Japan Atomic Energy Agency (JAEA) has developed 3D-ADRES-Indoor, a digital system for three-dimensional radiation mapping and source estimation, under the Ministry of Economy, Trade and Industry's subsidy program for decommissioning and contaminated water countermeasures (FY2023-2025). The system integrates three components: FrontEnd, enabling high-speed on-site source term estimation; Pro, allowing detailed off-site analysis of radiation distributions and countermeasure evaluation; and BackEnd, a centralized database for managing measurement and analysis data. This presentation focuses on the machine-learning-based inverse estimation of radiation sources, demonstrating its technical approach and on-site verification conducted at 1F Unit 2. The results show that 3D-ADRES-Indoor can effectively support decommissioning operations by providing intuitive three-dimensional visualization of radiation fields and aiding in exposure management and planning., [Domestic Conference]
• Application of radiation-source exploration system (3D-ADRES-Indoor) in 1F; Construction of radiation-source and dose-rate map and simulation for countermeasures
  Machida Masahiko; Yamada Susumu; Kim M.; Miyamura Hiroko; Suzuki Masahiro
  令和7年度被ばく低減対策ワークショップ, Japanese
  Feb. 2026, 大熊, Japan, To improve the radiological environment at the Fukushima Daiichi Nuclear Power Station (1F), it is essential to inversely estimate radiation source distributions based on point clouds and dose rate measurement data acquired on-site. This process enables the creation of 3D source and dose rate maps, the estimation of worker exposure doses, and the pre-evaluation of dose reduction effects through decontamination or shielding. In this report, we introduce the functions of the "3D-ADRES-Indoor" system, developed to meet these requirements, and present the results of its functional verification conducted at the 1F site. In particular, we report on the measurements taken at Units 2 and 3, the resulting source/dose rate estimation maps and their accuracy, as well as worker exposure evaluations using avatars and simulations of source mitigation effects., [Domestic Conference]
• International Nuclear Science Olympiad (INSO); Japan team's first challenge
  Tsunoyama Yuichi*; Satoh Daiki; Miyamura Hiroko; Ikuta Yuko; Onose Takatoshi*; Tomida Natsuki*; Hirota Seiko*; Hohara Shinya*; Fujishima Kaori*; Ui Naoto*; Nakashima Hiroshi*; Iimoto Takeshi*
  第24回日本放射線安全管理学会学術大会, Japanese
  Dec. 2025, 京都, Japan, The 2nd International Nuclear Science Olympiad (INSO 2025) was held in Malaysia from July 31 to August 5, 2025. INSO is a newly established international science olympiad, launched in 2024, that aims to promote awareness of the peaceful uses of nuclear science and technology. The competition is open to pre-university students under the age of 20 who demonstrate comprehensive knowledge of nuclear science. Each participating country may send up to four student representatives, accompanied by two experts serving as team leaders. Japan made its debut at INSO 2025 by dispatching four high school students (one female second-year and three male third-year students). All members earned medals - one gold, two silver, and one bronze - and two of them also received special awards: the Highest Score in the Experimental Examination Award and the Outstanding Female Participant Award. This presentation reports on the training process that led to these achievements, including the use of online educational materials and an intensive training camp focused on experimental techniques, held at the JAEA Nuclear Science Research Institute. Furthermore, recognizing that radiation safety - a core focus of this academic society - is fundamental to nuclear science and technology, we also propose new initiatives by experts to foster the next generation of talent., [Domestic Conference]
• Advanced development of exposure reduction technologies by digitalization of environment and radioactive source distribution, 2; Overview of developed system and its verification in 1F
  Machida Masahiko; Yamada Susumu; Kim M.; Miyamura Hiroko; Suzuki Masahiro
  日本原子力学会2025年秋の大会, Japanese
  Sep. 2025, 北九州, Japan, To improve the radiation environment at 1F site, it is essential to estimate the distribution of radiation sources based on point cloud and dose rate measurement data obtained on-site, and to evaluate in advance the potential for exposure reduction through decontamination or shielding of these sources. This presentation introduces the functions of source and dose rate distribution estimation system developed to meet this demand, and presents the results of system validation conducted at the actual 1F sites. In particular, it reports on the measurements taken at the 1st floor of Unit 2 at the 1F site, the estimated source and dose rate distribution maps, and their accuracy., [Domestic Conference]
• None
  Nishimura Akihiko; Miyamura Hiroko; Yoshihashi Sachiko*
  日本原子力学会2025年秋の大会, Japanese
  Sep. 2025, 北九州, Japan, ウランやトリウムの崩壊により発生する熱がマントル対流を生むことについて、展示と演習を通じて理解を促す。放射線計測と地震発生を考察させることで、エネルギー規模の10のべき乗の世界観を伝える。, [Domestic Conference]
• Implementing outreach activities including radiation and energy education powers of 10 worldview of energy
  Nishimura Akihiko; Miyamura Hiroko; Morishita Yuki
  日本原子力学会2024年秋の大会, Japanese
  Sep. 2024, 仙台, Japan, We presented a worldview of energy in powers of 10 as a concept that encompasses both radiation education and energy education. After presenting a worldview spanning 60 orders of magnitude, from the energy of a single photon of visible light to the explosion of a supernova, We conducted a radiation measurement experiment. Uranium ore, a GM survey meter, and a map of Japan were used in the radiation measurement experiment. We explained that heat generated by radioactive materials creates mantle convection, which is the cause of big earthquakes. The experiment was held at Ibaraki National College of Technology and the Atomic Energy Science Museum., [Domestic Conference]
• Development of a remote alpha/beta detection system and analysis method for alpha/beta classification
  Morishita Yuki; Miyamura Hiroko; Sato Yuki; Matsubara Jun*; Mitsukura Yasue*
  日本原子力学会2024年秋の大会, Japanese
  Sep. 2024, 仙台, Japan, 遠隔$\alpha$/$\beta$汚染測定器を開発し、さらに$\alpha$線と$\beta$線の弁別や核種弁別を目的とした解析手法を開発した。検出器は、スチルベンシンチレータと小型のシリコン光電子増倍管(SiPM)を用いて$\alpha$/$\beta$線検出器を構築した。ロボットに組み合わせた検出器の信号を機械学習で解析し、$\alpha$線と$\beta$線を分類して測定できることを確認した。, [Domestic Conference]
• Let's hear from female students; Open roundtable discussion with students and working professionals, 2; Nuclear Human Resources Development Network's Diversity Promotion Webinar
  Miyamura Hiroko
  日本原子力学会2024年春の年会, Japanese
  Mar. 2024, 東大阪, Japan, The Nuclear Human Resource Development Network was established in 2010 at the initiative of the government. In 2014, a strategic roadmap was created to envision what the nuclear industry should be like 10 years from now, and to strategically address human resource development. In 2014, a strategic roadmap was created to envision where the nuclear industry should be in 10 years, and a review of this roadmap has been underway since 2022. In this roadmap, a new section on diversity promotion was added, and cross-agency activities are being promoted., [Domestic Conference]
• Research and development of digital technologies to explore radiation source distributions for exposure reduction; Current research and development progress
  Suzuki Masahiro; Aoki Yuto; Yamaguchi Takashi; Machida Masahiko; Miyamura Hiroko; Okamoto Koji
  7th International Forum on the Decommissioning of the Fukushima Daiichi Nuclear Power Station, English
  Aug. 2023, Iwaki, Japan, In order to facilitate the full-scale implementation of fuel debris removal at the Tokyo Electric Power Fukushima Daiichi Nuclear Power Plant (hereinafter referred to as 1F), it is necessary to establish a safe access route within the highly radiation-intensive reactor building (hereinafter referred to as "R/B"). For the purpose of the establishment, it requires environmental improvements such as decontamination of highly-intensive radiation sources and shielding measures. Based on the radiation dose measurement data at the site, Japan Atomic Energy Agency (JAEA) has examined inverse estimation scheme of highly-intensive radiation sources and developed a system that incorporates not only virtual reality (VR) but also mixed reality (MR, AR) to evaluate the effectiveness of decontamination and shielding measures. This report presents an overview of the research and development achievements to date and introduces necessary efforts for enhancing functionality to ensure practical applications at 1F., [International presentation]
• R\&D project to estimate radioactive source distributions inside reactor building rooms; Overview and key results
  Suzuki Masahiro; Machida Masahiko; Yamaguchi Takashi; Miyamura Hiroko; Yamada Susumu; Okamoto Koji; Hasegawa Yukihiro*; Yoshida Toru*; Wei S.*
  International Conference on Nuclear Decommissioning; Addressing the Past and Ensuring the Future 2023, English
  May 2023, Vienna, Austria, In order to promote decommissioning in 1F, it is crucial to find out strong radioactive hot spots inside reactor building rooms based on environmental measurement data composed of structural surface model data and distribution data of air dose rates. Such hot spot prediction allows to reduce radiation risks of persons working inside 1F and consequently to safely construct access routes to remove fuel debris. We introduce a new scheme to inversely estimate radioactive source distributions using LASSO. The scheme is composed of multiple steps, e.g., one of the most essential steps is to select measurement points of air dose rates. In addition, we develop the other engines calculating 3D distributions of air dose rates from the estimated source distributions together with a tool simulating virtual countermeasures and visualizing various outputs of the above engines in 3D space. In the present paper, we overview R\&D project to integrate the above three engines., [International presentation]
• Evaluation of exposure dose using recordings of avatar movement in XR
  Miyamura Hiroko; Sato Tomoki*; Numata Yoshiaki*; Tobita Yasuhiro*; Iwata Ayako*; Machida Masahiko
  日本原子力学会2023年春の年会, Japanese
  Mar. 2023, 東京, Japan, We propose a prototype of a decommissioning support system using an XR device, considering the system is effective for realizing the safety for the decommissioning workers the efficiency of the work. In this paper, we report the outline of the new function as we have added it with the use of Avatar in cyberspace for evaluating the exposure dose of the decommissioning workers. This function allows to create the work plan which is taken into account the worker's exposure dose rate., [Domestic Conference]
• Development of exposure reduction technologies by digitalization of environment and radioactive source distribution, 2; R\&D of engines for radioactive source reconstruction, air dose rate estimation, and their visualization
  Machida Masahiko; Shi W.*; Yamada Susumu; Miyamura Hiroko; Numata Yoshiaki*; Sato Tomoki*; Tobita Yasuhiro*; Yoshida Toru*; Yanagi Hideaki*; Furutachi Naoya*; Hasegawa Yukihiro*; Okamoto Koji
  日本原子力学会2022年秋の大会, Japanese
  Sep. 2022, 日立, Japan, 東京電力福島第一原子力発電所(以下「1F」)における燃料デブリ取り出し作業の本格的な実施に先立ち、線量率の高い原子炉建屋(以下「R/B」)内でのアクセスルート構築を、安全,効率的に行うための環境改善が必要であり、このための除染・遮へい戦略の検討をサイバー空間上で柔軟に実施できるシステムの開発を実施している。本報告では、上記システムの中核を成す、線源逆推定・線量率推定・可視化を担当する各エンジンの役割や研究開発計画とその進捗について報告する。, [Domestic Conference]
• Development of exposure reduction technologies by digitalization of environment and radioactive source distribution, 5; Research and development of interactive visualization engine; Utilization of mixed reality
  Miyamura Hiroko; Sato Tomoki*; Numata Yoshiaki*; Tobita Yasuhiro*; Machida Masahiko
  日本原子力学会2022年秋の大会, Japanese
  Sep. 2022, 日立, Japan, We develop interactive visualization engine on a mixed reality device to realize workers' safety and work efficiency during environmental improvement work under the high-dose radiation environment. After the inverse source estimation, the three-dimensional distribution maps of the air dose rate are obtained by simulation. It is necessary to present the maps to decommissioning workers by visualization techniques to help them understand their environment. The latest MR devices can be used to support the work of decommissioning workers by placing virtual visualization primitives in the real space. In this presentation, we report outline the results and future direction of the MR device visualization engine, including features such as immersive experience, interactive operation, and information sharing with remote specialists., [Domestic Conference]
• Satellite-based mapping of riverbed height
  Miyamura Hiroko; Esumi Ayako; Yamada Susumu; Machida Masahiko
  日本原子力学会2019年春の年会, Japanese
  Mar. 2019, 水戸, Japan, Detailed elevation models of river areas are in demand for a variety of applications, such as predicting floods and pollutant dynamics. However, the water flowing in rivers makes it difficult to obtain riverbed depths, even via laser surveying. We therefore propose a method of estimating the riverbed depth based on satellite images and several additional measurement data. Furthermore, we present water flow simulation results based on a three-dimensional river model generated using this method., [Domestic Conference]
• Environmental monitoring data visualization with intuitive effect
  Miyamura Hiroko; Matsubara Takeshi*; Seki Akiyuki; Takemiya Hiroshi
  情報処理学会第81回全国大会, Japanese
  Mar. 2019, 福岡, Japan, It remains vital to monitor the situation in areas affected by radioactive fallout from the accident at the Fukushima Daiichi Nuclear Power Plant. To this end, the Japan Atomic Energy Agency and Fukushima Prefecture have developed a car-borne survey system that can be mounted on municipal buses, enabling them to measure and publish the air dose rate on a daily basis. To enable anyone to access this data, we have developed a method for adding measured air dose rates to images taken with smartphones and tablet PCs. Unlike traditional information visualization methods that focus on displaying values accurately, our method aims to visualize them more intuitively., [Domestic Conference]
• Development of radiation imaging system integrating radiation measurement and optical three-dimensional measurement
  Sato Yuki; Tanifuji Yuta; Terasaka Yuta; Usami Hiroshi; Kaburagi Masaaki; Miyamura Hiroko; Kawabata Kuniaki; Torii Tatsuo
  日本原子力学会関東・甲越支部第16回若手研究者発表討論会, Japanese
  Oct. 2017, 狛江, Japan, 福島第一原子力発電所(以下、1F)の事故により1F建屋内外に放出された放射性物質について、詳細な除染計画の立案や作業員の被ばく線量の低減のために、飛散した放射性物質を可視化するための技術開発が求められている。原子力機構廃炉国際共同研究センターは放射性物質を可視化するための装置として、小型・軽量なコンプトンカメラを開発し、放射性物質の分布を3次元的に可視化するための技術開発を進めている。加えて、レーザー等による光測量技術を用いて建屋構造物の3次元モデルを構築し、これを放射線イメージと重ね合わせることによって、より視認しやすい放射性物質分布図の構築を目指している。これまでに福島第一原子力発電所建屋内部において、開発したコンプトンカメラを用いて放射性物質のイメージング試験を実施し、建屋内部に存在するホットスポットの3次元的な可視化に成功した。加えて、測域センサーを用いて建屋内部の3次元モデルを構築し、放射線イメージと重ね合わせることによる放射線分布マップの構築を試みた。発表では試験結果の詳細と今後の予定を紹介する。, [Domestic Conference]
• Compact Compton camera for radiation distribution imaging under high dose rate environments
  Sato Yuki; Terasaka Yuta; Kaburagi Masaaki; Tanifuji Yuta; Usami Hiroshi; Miyamura Hiroko; Ozawa Shingo*; Izumi Ryo*; Kawabata Kuniaki; Suzuki Toshikazu*; Torii Tatsuo
  2017 IEEE Nuclear Science Symposium and Medical Imaging Conference and 24th Symposium on Room-Temperature X- and Gamma-Ray Detectors (2017 IEEE NSS/MIC/RTSD), English
  Oct. 2017, Atlanta, United States, The development of quick radiation imaging methods in the high dose rate environments is very important to accelerate decommissioning of the Fukushima Daiichi Nuclear Power Station (FDNPS). We have developed a compact Compton camera for measurement of radioactive contamination inside FDNPS. We conducted a performance evaluation test inside the $\gamma$-ray irradiation facility, and the Compton camera can visualize the $^{137}$Cs-irradiation source under the dose rate of 1 mGy/h. We also developed the remote radiation imaging system consisting of the Compton camera and a multicopter-type drone. The drone system succeeded in observing the $^{137}$Cs-radioactive source, which was set on the floor surface, remotely. We plan to use the Compton camera and the drone system inside the buildings of FDNPS., [International presentation]
• A Car monitoring survey data visualization application
  Miyamura Hiroko; Matsubara Takeshi*; Seki Akiyuki; Takemiya Hiroshi
  第8回情報可視化研究室合同合宿, Japanese
  Sep. 2017, 八王子, Japan, Surveys on the distribution of the air dose rate have been performed continuously after the Fukushima Daiichi Nuclear Power Plant accident. The surveyed monitoring datasets are stored in a database that is available for the public. In this study, we focus on the car monitoring survey datasets, and propose a car monitoring survey data visualization application. It tracks user's position on mobile PCs or tablets. Users can observe air dose rate easily on their current location by utilizing the proposed application., [Domestic Conference]
• Car monitoring data visualization with the scenery seen on a car window
  Miyamura Hiroko; Matsubara Takeshi*; Seki Akiyuki; Takemiya Hiroshi
  日本原子力学会2017年秋の大会, Japanese
  Sep. 2017, 札幌, Japan, Surveys on the distribution of the air dose rate have been performed continuously after the Fukushima Daiichi Nuclear Power Plant accident. The surveyed monitoring datasets are stored in a database that is available for the public. In order to display car monitoring data, we developed a car monitoring survey data visualization application which works on mobile and tablet PCs. In this study, we propose an additional function that helps users observe the measured air dose rate datasets by visualizing them on a captured landscape picture. For realizing the function, we employ an image segmentation method., [Domestic Conference]
• Remote radiation imaging system using a multicopter UAV
  Sato Yuki; Ozawa Shingo*; Terasaka Yuta; Kaburagi Masaaki; Miyamura Hiroko; Tanifuji Yuta; Kawabata Kuniaki; Izumi Ryo*; Suzuki Toshikazu*; Torii Tatsuo
  平成29年度日本原子力学会北関東支部若手研究者発表会, Japanese
  Apr. 2017, 東海, Japan, 東京電力ホールディングス福島第一原子力発電所(以下、1F)の事故により1F建屋内外に放出された放射性物質について、詳細な除染計画の立案や作業員の被ばく線量の低減のために、飛散した放射性物質を可視化するための技術開発が求められている。日本原子力研究開発機構は放射性物質を可視化するための装置として、小型・軽量なコンプトンカメラを製作し、千代田テクノルと共同で動作試験を進めている。加えて、広いエリアの屋外環境や1F建屋内部の高線量率環境における遠隔での放射線イメージングを目的とし、コンプトンカメラをドローン等の遠隔機器に搭載することによる遠隔放射線イメージングの技術開発を同時に進めている。本発表では、測定システムの概要を紹介し、福島県浜通り地域屋外におけるコンプトンカメラの性能評価試験の結果と、今後の1F建屋内へのシステム導入に係わる検討について発表する。, [Domestic Conference]
• Development of radiation imaging system using small-size light-weight Compton camera mounted on remotely operated machines, 1; Visualization of radioactive substances with portable Compton camera mounted on unmanned aerial vehicle
  Sato Yuki; Ozawa Shingo*; Izumi Ryo*; Terasaka Yuta; Kaburagi Masaaki; Miyamura Hiroko; Kawamura Takuma; Tanifuji Yuta; Kawabata Kuniaki; Suzuki Toshikazu*; Torii Tatsuo
  日本原子力学会2017年春の年会, Japanese
  Mar. 2017, 平塚, Japan, 東京電力ホールディングス福島第一原子力発電所(以下、1F)の事故により1F建屋内外に放出された放射性物質について、詳細な除染計画の立案や作業員の被ばく線量の低減のために、飛散した放射性物質を可視化するための技術開発が求められている。日本原子力研究開発機構は放射性物質を可視化するための装置として、小型・軽量なコンプトンカメラを製作し、千代田テクノルと共同で動作試験を進めている。加えて、広いエリアの屋外環境や1F建屋内部の高線量率環境における遠隔での放射線イメージングを目的とし、コンプトンカメラをドローン等の遠隔機器に搭載することによる遠隔放射線イメージングの技術開発を同時に進めている。本シリーズ発表では、測定システムの概要をはじめに紹介し、福島県浜通り地域屋外におけるコンプトンカメラの性能評価試験の結果と、コンプトンカメラによる3次元線源分布再構成に関する検討について発表する。, [Domestic Conference]
• Development of radiation imaging system using small-size light-weight Compton camera mounted on remotely operated machines, 3; Study on 3D reconstruction from Compton camera data
  Miyamura Hiroko; Kaburagi Masaaki; Sato Yuki; Kawamura Takuma; Idomura Yasuhiro; Torii Tatsuo
  日本原子力学会2017年春の年会, Japanese
  Mar. 2017, 平塚, Japan, We report the results of experiments for reconstructing three-dimensional volume data of distributions of radiation sources via two reconstruction algorithms from measurement datasets by a Compton camera. To obtain accurate distributions of radiation sources, which were released by the Fukushima Daiichi Nuclear Power Plant accident, detailed measurements of $\gamma$ rays are necessary. In this report, as a preliminary experiment, we address three-dimensional reconstruction from measurement data under ideal conditions, using two algorithms: a three-dimensional back-projection method and a list-mode maximum likelihood estimation method. By using these methods, the radiation sources can be accurately reconstructed from the measurement datasets., [Domestic Conference]
• Development of radiation imaging system using small-size light-weight Compton camera mounted on remotely operated machines
  Miyamura Hiroko; Kaburagi Masaaki; Sato Yuki; Kawamura Takuma; Idomura Yasuhiro; Torii Tatsuo
  第29回CCSEワークショップ, Japanese
  Feb. 2017, 東京, Japan, We introduce a project that constructs the $\gamma$ ray remote visualization system for capturing the distribution of radiation sources, which were released from the Fukushima Daiichi Nuclear Power Plant. This project executes measurements using a Compton camera mounted on a drone. The measurement datasets are reconstructed for visualizing the radiation source distribution. In this report, we investigated the accuracy of reconstruction for measurement datasets with the constraints, using a three-dimensional back-projection method and a list-mode maximum likelihood estimation method. The measurement datasets are generated by Compton camera measurement simulations for point $\gamma$ ray sources, where the number and angle of Compton projection are limited. The reconstruction numerical experiments show that the source distribution data can be reconstructed if the number of projections is sufficiently high., [Domestic Conference]
• Optimizing P2P network hierarchies for visual analytics
  Wu H.-Y.*; Takahashi Shigeo*; Miyamura Hiroko; Ozahata Satoshi*; Nakao Akihiro*
  電子情報通信学会2016年総合大会, Japanese
  Mar. 2016, 福岡, Japan, In recent years, file-sharing applications have been widely used, and demand for analysis of the log data from the file-sharing process has increased. Visualization techniques are effective for the analysis of such log data. In this study, we propose a new node layout method for analyzing the file-sharing process using the network hierarchical optimization., [Domestic Conference]
• Network graph layout with a hierarchical optimization technique
  Miyamura Hiroko; Wu H.-Y.*; Takahashi Shigeo*; Ozahata Satoshi*; Nakao Akihiro*
  電子情報通信学会2016年総合大会, Japanese
  Mar. 2016, 福岡, Japan, In recent years, file-sharing applications have been widely used, and demand for analysis of the log data from the file-sharing process has increased. Visualization techniques are effective for the analysis of such log data. In this study, we propose a new network graph visualization technique with new node layout method for analyzing the file-sharing process using geographic information and the network hierarchical optimization. We applied the proposed technique to a log data of a file-sharing application., [Domestic Conference]
• LoD control of radioactivity measurement map for multivariable data analyses
  Miyamura Hiroko; Takahashi Shigeo*; Idomura Yasuhiro; Takemiya Hiroshi
  日本原子力学会2016年春の年会, Japanese
  Mar. 2016, 仙台, Japan, We propose a level-of-detail control method for environmental monitoring datasets. The radioactive substance emitted due to the accident at the nuclear power plant in Fukushima was spread by an air current. The air dose distribution map suggests that the air current was not able to rise above a certain height in the mountainous district. We propose a new level-of-detail control method that reduces the visualization element while retaining features of two or more data elements such as the distribution of air dose and height for analyzing the relationship between two or more datasets., [Domestic Conference]
• Big data visualization framework on HPC environment
  Miyamura Hiroko
  NII Shonan Meeting on Big Data Visual Analytics, English
  Nov. 2015, Hayama, Japan, Big data visualization is a considerable challenge in high-performance computing (HPC) and visualization fields. The simulation data obtained on the HPC side become multidimensional, multivariate, and multi-run data that present a significant challenge in terms of visualization and analysis. In this study, we introduce our scenario of a big data visualization challenge: the visualization of virtual plant vibration simulator results. We calculate these data using HPC and apply batch mode summary visualization and pack data subsets of interest transmission., [International presentation]
• Multivariate data analysis by 2D information visualization methods
  Miyamura Hiroko; Kawakami Yoshiaki; Suzuki Yoshio; Kawamura Takuma; Nakajima Norihiro
  日本原子力学会2015年秋の大会, Japanese
  Sep. 2015, 静岡, Japan, When analyzing objects in mechanical design, the simulation results show physical data such as von Mises stress, distortion, maximum stress, and mean stress. These results can not only confirm already known phenomena but also provide new insights. Therefore, we propose a technique for visualizing the distribution changes over time of multi-variable datasets via graphical representation., [Domestic Conference]
• Remote visualization of massive data using particle-based volume rendering
  Kawamura Takuma; Idomura Yasuhiro; Miyamura Hiroko; Takemiya Hiroshi
  US-Japan Joint Institute for Fusion Theory Workshop on Innovations and Co-Designs of Fusion Simulations towards Extreme Scale Computing, English
  Aug. 2015, Nagoya, Japan, Visualization and analysis of extreme scale data are important issues in the next generation Exa-scale simulations. In order to resolve this issue, a remote visualization system has been developed based on the particle-based volume rendering technique. The system connects a supercomputer and a PC via a Client/Server type distributed processing model. Extreme scale data is converted to small particle data via massively parallel data processing on a supercomputer, and the particle data is transferred and rendered on a PC. In this talk, we discuss the performance of remote visualization using the K-computer., [International presentation]
• Fast particle generation technique for visualizing multi-physics data via particle based volume rendering
  Kawamura Takuma; Idomura Yasuhiro; Miyamura Hiroko; Takemiya Hiroshi
  日本原子力学会2015年春の年会, Japanese
  Mar. 2015, 日立, Japan, Client-Server type remote visualization system using Particle-Based Volume Rendering (PBVR) efficiently visualizes large-scale data located on remote supercomputer system. Multi-dimensional (2D) transfer function is efficient technique to extract the munite structure using a physical value and its absolute value of gradient. We extended the multi-dimensional transfer function to extract any slice surface of iso-surface for multi-variate data and developed PBVR particle generation method for multi-dimensional transfer function, which enables to treat multi-variate data on supercomputer. We applied this technique to the result of numerical simulation for relocation behavior of molten debris in nuclear reactor, and extract the forms of the molten debris and mapped thermal distribution., [Domestic Conference]
• Acceleration of particle generation for remote visualization system using particle-based volume rendering
  Kawamura Takuma; Miyamura Hiroko; Idomura Yasuhiro; Takemiya Hiroshi
  日本機械学会第27回計算力学講演会(CMD2014), Japanese
  Nov. 2014, 岩手, Japan, In order to grasp knowledge from the complex simulation results on supercomputer, the volume rendering is efficient technique. Remote visualization system using Particle based Volume Rendering resolves the memory usage and the huge data transfer of the conventional Client/Server visualization system by using small size particle data. This research constructed the load balancing system which works on supercomputer K and BX900. We achieved strong scaling and processed 100 million elements data by a few seconds., [Domestic Conference]
• Information visualization tool for large-scale scientific data analysis
  Miyamura Hiroko; Kawamura Takuma; Suzuki Yoshio; Idomura Yasuhiro; Takemiya Hiroshi
  日本機械学会第27回計算力学講演会(CMD2014), Japanese
  Nov. 2014, 岩手, Japan, In this paper, we propose an information visualization tool for the analysis of multivariate time series simulation datasets. For the implementation of this tool, we use a spatio-temporal map. The spatio-temporal map provides a method for mapping the distribution of physical data in a two-dimensional visualization space for space and time axis. It is possible to use parallel coordinate visualization technique of multivariate dataset for analysis of time series and multivariate datasets. In this tool, the physical data to be observed are first selected from the parallel coordinates, then, the spatial-temporal distribution of the selected physical data is observed using a spatio-temporal map. We also describe the effects of this tool by applying the simulation results of earthquake response of a nuclear test reactor., [Domestic Conference]
• An Adaptive visualization approach for environmental radioactivity data
  Miyamura Hiroko; Idomura Yasuhiro; Takemiya Hiroshi; Sakurai Daisuke*; Wu H.-Y.*; Takahashi Shigeo*
  日本原子力学会2014年秋の大会, Japanese
  Sep. 2014, 京都, Japan, We survey the distribution of accumulated radioactive substances and assess the air dose rate. The surveyed datasets are stored in a database and are made available to the public. In addition, we develop a visualization tool that enables ones to download the datasets and then visualize them on one's computer environment. Recently, the size of the datasets have been significantly extended as more detailed measurements in space and time are available, and effective reduction of the size of the datasets is necessary for analyzing such large scale datasets. However, if the datasets are not carefully reduced, we often miss a part of important features in the distribution data. Therefore, we develop an effective Level of Detail control (LoD) method for retaining critical features of the distribution. In the method, the structure of two dimensional data that represents a global feature of the distribution is extracted by means of differential topology analyses. The data size is reduced by considering local features of the data, while retaining its global structure., [Domestic Conference]
• Remote visualization of large-scale simulation results on K-computer using particle-based volume rendering
  Kawamura Takuma; Idomura Yasuhiro; Miyamura Hiroko; Takemiya Hiroshi
  日本原子力学会2014年秋の大会, Japanese
  Sep. 2014, 京都, Japan, Client/Server remote visualization is necessary to analyze large-scale data on remote supercomputer because the large-scale data is difficult to transfer to or store in user PC. Remote visualization system using particle-based volume rendering generates particles with Monte Carlo simulation on Server and achieves the interactive visualization by using the particle data for the rendering. We implemented filter to optimize the data reading, dynamic load balancing abd parallel random generator. The filter employed Octree space division. The divided data is dynamically assigned to each node by detecting the latency of the particle generation. This system is implemented on supercomputer K and applied to visualize large-scale simulation result., [Domestic Conference]
• Large-scale visualization technique using particle-based volume rendering
  Kawamura Takuma; Idomura Yasuhiro; Miyamura Hiroko; Takemiya Hiroshi
  第46回流体力学講演会/第32回航空宇宙数値シミュレーション技術シンポジウム, Japanese
  Jul. 2014, 弘前, Japan, In visualizing large-scale data on remote strage, existing remote visualization tools have bottlenecks in the processing speed, the memory size, and the data transfer. Client/Server visualization system using Particle-based volume rendering resolves these bottlenecks by converting large-scale data into small visualization particles. We developed this system for supercomputer and tuned particle generation process for the parallel distributed environment. Our system achieved strong scaling with high parallel efficiency over 90\%., [Domestic Conference]
• Remote visualization system based on particle based volume rendering for supercomputer
  Kawamura Takuma; Idomura Yasuhiro; Miyamura Hiroko; Takemiya Hiroshi
  第19回計算工学講演会, Japanese
  Jun. 2014, 広島, Japan, Client/Server visualization is important technique to analyze simulation results on remote supercomputer. However increasing of data size and complexity reduces the processing speed on Server. Our proposed Client/Server visualization system using Particle-Based Volume rendering can provide high performance for generation of visualization primitives (particle data) by Monte-Carlo simulation on Server. The particle data which transferred to Client is relatively small size compared to the original data because its size is determined by screen resolution. Using supercomputer BX900, we processed unstructured volume data with $\sim$100 million cells in seconds., [Domestic Conference]
• Interactive information visualization for exploring large 4D numerical simulation datasets
  Miyamura Hiroko; Kawamura Takuma; Suzuki Yoshio; Idomura Yasuhiro; Takemiya Hiroshi
  情報処理学会GCAD研究会第154回研究発表会, Japanese
  Feb. 2014, 和光, Japan, In this talk, we propose an approach to select and extract a region of interest (ROI) interactively from 4-dimensional datasets such as time-series data. The scale and complexity of numerical simulations have been increasing with improvements in computing power. This feature is seen in many computational fields including nuclear engineering simulations. A user may observe 4-dimensional data via interactive visualization approaches. However, such approaches may have difficulty for users to observe such large-scale numerical simulation results, even after spending a considerable amount of time. To overcome this issue, we develop an information visualization approach, by which variations of the data in 4-dimensional space can be easily visualized in a 2D matrix form, and propose a visualization technique, which can extract ROIs in an interactive manner., [Domestic Conference]
• Client/Server visualization system for large fem result dataset using particle-based volume rendering
  Kawamura Takuma; Miyamura Hiroko; Idomura Yasuhiro; Takemiya Hiroshi
  日本原子力学会2013年秋の大会, Japanese
  Sep. 2013, 八戸, Japan, With the recent development of the super-computer, it is important to develop the visualization technique for the results of extremely large-scale numerical simulations. Volume rendering recognized as the efficient visualization technique to figure out the inside of the data and the complex shape in the medical or engineering field. However, it requires long time to visualize the large data. Particle-based volume rendering (PBVR), which convert the volume data into particles as the drawing primitives, is expected to efficiently treat the large and complex data. However conventional offline processing requires much transfer time of huge data and the visualization speed is insufficient. We propose Client/Server visualization system utilizing PBVR to accelerate the visualization tasks and achieve the interactive visualization., [Domestic Conference]
• An Information visualization technique for interactive exploration and analysis of large scale scientific datasets
  Miyamura Hiroko
  第4回情報可視化セミナー, Japanese
  Sep. 2013, 八王子, Japan, We report an information visualization technique developed at the Japan Atomic Energy Agency. In recent years, large scale and complex simulation results are produced with increasing computational power. This is the case also in the nuclear engineering, and large scale and complex simulations such as seismic analyses of nuclear plants are developed. In order to visualize and analyze such large scale and complex data, scientific visualization approaches have been used. However, the conventional scientific visualization techniques have difficulty in real time visualization and thus interactive data exploration. This may make us to miss a region of interest in the data. To resolve this issue, we propose an information visualization technique that projects 4-dimensional spatio-temporal data onto a 2-dimensional visualization plane. By applying this technique, spatio-temporal features are extracted from the simulation data of seismic analyses for a nuclear plant., [Domestic Conference]
• Acceleration of particle generation for particle-based volume rendering using GPGPU
  Kawamura Takuma; Miyamura Hiroko; Idomura Yasuhiro; Takemiya Hiroshi
  第41回可視化情報シンポジウム, Japanese
  Jul. 2013, 東京, Japan, With the recent development of the super-computer, it is important to develop the visualization technique for the results of extremely large-scale numerical simulations. Volume rendering recognized as the efficient visualization technique to figure out the inside of the data and the complex shape in the medical or engineering field. However, it requires long time to visualize the large data. Particle-based volume rendering (PBVR), which convert the volume data into particles as the drawing primitives, is expected to efficiently treat the large and complex data. However, the particle generation process prevents the application to the parallel environment. We propose parallel implementation of the particle generation process by using GPGPU. Our method accelerates the calculation speed 14 times faster than the previous serial processing. Our method processed 120 million cells in about 3.7 seconds and we could obtain the outlook for the application to the large parallel environment., [Domestic Conference]
• Acceleration of particle generation of particle-based volume rendering for client-server visualization system
  Kawamura Takuma; Idomura Yasuhiro; Miyamura Hiroko; Takemiya Hiroshi
  3rd AICS International Symposium, English
  Feb. 2013, Kobe, Japan, We have developed a remote visualization system using Particle-based Volume Rendering on GPU cluster which can generates particles on the same number of parallel processes of the numerical simulation and visualize the result interactively after transferring the particle dataset to the client machine. This system manages GPU write to memory of particle dataset by generating particle index array in CPU. The particle dataset is copied from GPU memory to CPU memory after the particle generation. However the particle generation time didn't decrease against the increase of the number of calculation nodes because the generation time of a particle index array and particle copy became bottleneck. We parallelize the generation process of the particle index array by applying prefix scan and hide the particle copy cost by double buffering., [International presentation]
• Client-server visualization system using particle-based volume rendering
  Kawamura Takuma; Idomura Yasuhiro; Miyamura Hiroko; Takemiya Hiroshi
  ハイパフォーマンスコンピューティングと計算科学シンポジウム(HPCS 2013), Japanese
  Jan. 2013, 東京, Japan, Conventional offline-processing visualization approaches are facing difficulties such as transferring large-scale data and reassembly of extensive amount of computational result files. On the other hand, an interactive manipulation such as a sweep of iso-level, a slice position or a movement of camera is essential for the visualization process. However the development of the current visualization techniques is not enough to generate the resulting images interactively. Moreover, batchjob visualization may occur overlooking of important features. We propose a client-server visualization system using Particle-based Volume Rendering. Our visualization system can generate volume rendering images without the reassembly of the result files. This system is appropriate to overview entire physical values of computational space by volume rendering. Moreover, this system enables users to interactively manipulate camera position and time progress., [Domestic Conference]
• Visualization research at JAEA
  Miyamura Hiroko
  慶應大学講演会, Japanese
  Dec. 2012, 日吉, Japan, This report explains our visualization technique by taking the case of application to a vibration simulation of nuclear facility under earthquake, which was conducted by the Center for Computational Science \& e-Systems (CCSE) at the Japan Atomic Energy Agency (JAEA). This simulation is carried out to reveal where in a nuclear facility a comparatively larger stress is caused. It is necessary, but difficult, to search "when", "where", and "what" happens in the nuclear facility from the simulation results. Therefore, we propose a novel spatio-temporal information mapping technique (spatio-temporal map) in which time and space corresponding to "when" and "where", respectively, are projected onto the frame of plane (visualization plane) and each phenomenon corresponding to "what" is graphically represented on the plane., [Domestic Conference]
• Remote visualization for large-scale simulation using particle-based volume rendering
  Kawamura Takuma; Idomura Yasuhiro; Miyamura Hiroko; Takemiya Hiroshi
  International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2012), English
  Nov. 2012, Salt Lake City, United States, Conventional offline-processing of visualization give rise to difficult challenges such as transferring large-scale data and reassembly of extensive amount of computational result files, which is inevitable for sort-first or sort-last visualization methods. On the other hand interactive use of a supercomputer is still limited. We propose a remote visualization system for solving these problems by applying Particle-based Volume Rendering which is sortless volume rendering technique and convert resulting data to rendering primitive particles. Proposed system can generate particles on same number of parallel processes of the numerical simulation and transfer the particles to a visualization server. Proposed system allows users can observe the resulting data with changing the camera position freely., [International presentation]
• An Approach to select and extract an interested partial model based on spatio-temporal feature analysis
  Miyamura Hiroko; Kawamura Takuma; Suzuki Yoshio; Takemiya Hiroshi
  日本原子力学会2012年秋の大会, Japanese
  Sep. 2012, 東広島, Japan, Numerical simulations have become common scientific approach in many fields including nuclear power. As the performance of supercomputers had increased, such simulations have increased in scale and complexity. In order to extract a distinctive partial model from such large-scale and complexity datasets, we propose an approach to select and extract an interested partial model. Our approach firstly subdivides the full-scale model, and secondly shows the features of the subdivided models. Finally, it selects the characteristic region and reconstructs the distinctive partial model. In this article, by applying our technique to a full-scale three dimensional vibration simulator for an entire nuclear power plant, we confirmed that the technique is an effective technique to evaluate such large-scale results., [Domestic Conference]
• A Multilevel graph layout for analysing of large-scale network datasets
  Miyamura Hiroko; Yoshida Masahiro*; Ozahata Satoshi*; Takahashi Shigeo*; Nakao Akihiro*; Kawashima Konosuke*
  電子情報通信学会ネットワークシステム研究会, Japanese
  Mar. 2012, 宮崎, Japan, We propose a multilevel graph layout technique for visualizing large scale network datasets. Large-scale datasets are said to be difficult to analyze and visualize. However, with our technique, the datasets can be displayed in multistep. For instance the outline of network dataset is shown first, and when focused on a certain region, the detailed information is shown as well. By using this technique, users can observe a large scale dataset from the outline to the detail seamlessly, and therefore this is valuable for the structural analysis of network datasets., [Domestic Conference]
• Bias function for color map adjustment for unstructured dataset
  Kawamura Takuma; Miyamura Hiroko; Takemiya Hiroshi
  ハイパフォーマンスコンピューティングと計算科学シンポジウム(HPCS 2012), Japanese
  Jan. 2012, 名古屋, Japan, A part of the attempt to verify the effectiveness of the color map adjustment technique which referring the physical value of the simulation result, we report to the experimental result applied to the result of the response analysis of 3D virtual plant vibration simulator. When the physical value distributes disproportionately, the traditional color mapping allocates many colors to the local region and plain color is allocated to the other region. The subtle variation is possibly missed in this case. We proposed the color map adjustment technique. In order to verify the effectiveness of our technique, we applied to the result of the response analysis. In this result, the stress concentration exists in the bound part of the auxiliary cooling system and pipe. Therefore the traditional color map was not able to visualize the subtle variation in the other parts. We confirmed the variation of the physical value in detail using a color map generated by our technique., [Domestic Conference]
• R\&D of large-scale data analysis system for atomic energy field
  Tatekawa Takayuki; Kushida Noriyuki; Miyamura Hiroko; Teshima Naoya*; Fujibayashi Kenichi*; Takemiya Hiroshi
  第16回計算工学講演会, Japanese
  May 2011, 柏, Japan, 計算機の性能向上に伴うシミュレーション及び実験装置の大規模化に伴い、時間的,空間的に詳細なデータが得られるようになってきている。今後、出力されるデータはテラバイト,ペタバイト規模になると予想され、膨大なデータから有用な情報を目的となる時間内に抽出する技術はますます重要になると考えられる。本発表では並列分散処理技術を用いて、膨大なデータを即時的に解析する方法を検討した。100GB規模の実験データを対象とし、計算機に分散記録したデータを並列処理することにより、目的となる時間以内に解析を完了できることを確認した。また、科学技術分野のデータを並列分散処理で解析する際の、アルゴリズム構築の注意点、及び大規模な実データを用いずにチューニングを図るための手順を明らかにした。本技術は今後、原子力施設の耐震シミュレーションの結果評価などにも適用可能であり、大規模・複雑な原子力分野のデータ処理の効率化が期待できる。, [Domestic Conference]
• Visualization system for time-series datasets
  Miyamura Hiroko; Suzuki Yoshio; Takemiya Hiroshi
  Mini-Symposium in SC '10, English
  Nov. 2010, New Orleans, United States, Numerical simulation and measurement experiment have recently increased in scale and have often output high dimensional datasets. This makes it difficult for users to quickly grasp physical phenomena involved in such datasets. Therefore we have developed a visualization system for large-scale time-series datasets. In our system, global image is generated. This map can be used for overview visualization, displaying the spatial and temporal characteristics of the entire dataset. A spatio-temporal ROI can then be identified and a request sent data of this region to the server. This is then interactively visualized and observed on the client computer. This technique is a basic technology for computational science to achieve exploration large-scale time-series dataset which is a problem in atomic energy related fields., [International presentation]
• Visualization system for the evaluation of numerical simulation results
  Miyamura Hiroko
  Mini-Symposium in SC '09, English
  Nov. 2009, Portland, United States, We propose a visualization system with which to evaluate large-scale time-series data. Recently, because of the improvement of supercomputers, numerical simulations have been larger and more complex. Increase in the size and complexity of simulations makes it difficult to evaluate physical phenomena from simulation results. Therefore, we herein propose a visualization system which has a multi-window display system that can display several forms of detailed information. The system allows the users to visualize and analyze data in both the global and local scales for evaluating the target datasets., [International presentation]
• Visualization system for the evaluation of numerical simulation results
  Miyamura Hiroko; Hayashi Sachiko; Suzuki Yoshio; Takemiya Hiroshi
  International Conference for High Performance Computing, Networking, Storage and Analysis (SC '09), English
  Nov. 2009, Portland, United States, We propose a visualization system for the evaluation of numerical simulation results. The proposed system has a multi-window display system that can display several forms of detailed information. The global visualization window displays spatio-temporal information, and the local visualization window displays detailed information around the selected region. By applying the proposed system to the three-dimensional virtual plant vibration simulator, we have confirmed its usefulness for evaluating numerical simulation results., [International presentation]
• Cerebral methodology based computing for estimating validity of simulation results
  Suzuki Yoshio; Hayashi Sachiko; Miyamura Hiroko
  第14回計算工学講演会, Japanese
  May 2009, 東京, Japan, Our challenge is to estimate the validity of simulation results by establishing "Cerebral Methodology Based Computing (CMC)". The estimation of the validity is indispensable to accurately predict phenomena by using simulation. It is difficult to estimate the validity from a single simulation because the simulation contains uncertainties and ambiguities. We have proposed CMC as the computing methodology which enables us to estimate the validity of results with both deductive and inductive approaches, similar to the human thinking process. To realize CMC, we have constructed the system which enables us to execute both deductive simulations and inductive simulations, and then combine results of those simulations in an integration process. We have applied the system to a thermal displacement analysis of a nuclear power plant and confirmed the usefulness of the system., [Domestic Conference]
• Spatio-temporal map for time-series data visualization
  Miyamura Hiroko; Suzuki Yoshio; Takemiya Hiroshi
  第14回計算工学講演会, Japanese
  May 2009, 東京, Japan, We propose a spatio-temporal map that enables the visualization of spatio-temporal data from three-dimensional models having temporal-varying physical data. Recent increases in the size and complexity of simulated time-series datasets makes the interactive visualization of datasets difficult. Therefore for such large-scale complex datasets, specifications of interested area are difficult. Our goal is to facilitate the examination of such large-scale complex spatio-temporal datasets., [Domestic Conference]
• Medical image visualization using spherical projection
  Miyamura Hiroko; Mitsukura Yasue*
  電気学会産業計測制御研究会, Japanese
  Mar. 2009, 武蔵野, Japan, We propose a volume data map to investigate inner structures and complex behaviors of datasets. Traditional visualization techniques provide an intuitive and effective way to explore volume datasets. However, these techniques suffer from the problem that visualization results depend on the viewing angle. Consequently, important information may be lost because they are unable to display hidden regions. To visualize information from all directions, we propose a volume data map projected in all directions. We consider this proposed map to be a navigation map for investigating three-dimensional datasets., [Domestic Conference]

• Present
  情報処理学会
• 日本原子力学会
• 電気学会

• Aesthetic Control of Free-Form Curves and Surfaces
  Grants-in-Aid for Scientific Research
  2007 - 2010
  SAITO Takafumi; YOSHIDA Norimasa; HARADA Toshinobu
  The purpose of this research is to generate highly aesthetic curves and surfaces, such as car body shapes, by using computers with interactive and intuitive operations. We had already proposed 'log-aesthetic curves', a class of highly aesthetic curves involved in real shapes. For those curves, we realized approximation techniques with existing curve forms and interactive control methods. Then, we extended them to space curves, clarified its theoretical features, and proposed interactive control methods. Also, we proposed generation and control techniques for an aesthetic surface patch based on given two log-aesthetic curves.
  Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (B), Tokyo University of Agriculture and Technology, 19300024
• Prototyping a general solver framework of combinatorial optimization problems on a volunteer computing environment
  Grants-in-Aid for Scientific Research
  2006 - 2007
  SHINANO Yuji; FUJIE Tetsuya; MIYASHIRO Ryuhei; SAITO Takafumi; MIYAMURA Hiroko
  We had the following two research goals at the beginning of this project: 1) Evaluating the effectiveness of a large-scale parallelization for combinatorial optimization problems on a volunteer computing environment, 2) Evaluating a JDK5.0-based general solver framework for combinatorial optimization problems. Together with these goals, we had a plan to develop a visualization tool for activity of solvers.
  When we proposed this research, JXTA technology had attracted considerable attention. However, this technology seemed be not so powerful for our research goal. After we investigated computational environments for our research, we met a software tool Overlay Waver and made a prototype system on an overlay network using Overlay Weaver. Since Overlay Waver has an emulator of distributed environments, we could conduct large-scale computational simulations.
  On one hand, we did not develop a JDK5.0-based general solver framework. We should reconsider whether a Java-based system is appropriate or not for our goals. On the other hand, we developed an excellent visualization tool which displays runtime behavior of a solving algorithm for hard problem instances.
  Nowadays, the term "Volunteer computing" becomes a technical term in information technology. We should restart a similar project like this project in the near future, when volunteer computing environment becomes more mature one.
  Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (C), Tokyo University of Agriculture and Technology, 18510118
• 離散構造データの幾何的配置変動に起因する複雑性の解明
  科学研究費助成事業
  2005 - 2007
  斎藤 隆文; 品野 勇治; 金子 敬一; 宮村 浩子
  本研究は,離散構造データの幾何的配置変動が引き起こす複雑かつ大域的な位相構造変化について,理論的ならびに実験的に追究し,諸問題に共通するメカニズムを明らかにすることを目的としている.本年度は,階層的クラスタリングを対象とした安定性評価に関する検討と,CG,可視化,形状処理の各分野における関連課題の検討を行った.
  階層的クラスタリングの位相構造変化を見る新しい考え方である「仮想要素追加法」を初年度に考案した.当初はクラスタリングを行った結果の階層構造の各ノードに対してだけ,適用していたため,実際には近接した配置であっても,階層構造として離れた位置にあるクラスタ同士の安定性はわからなかった.本年度は,このような場合の安定度の算出方法と,その可視化方法について検討した.その結果,構造全体におけるクラスタ構造の安定性を可視化することに成功した.
  CG,可視化,形状処理の各分野において,種々の問題に取り組み,関連する課題を検討した.その過程において,人物の顔を撮影した動画像を,実時間でイラスト風に処理する手法や,固定カメラで撮影された長時間にわたる時系列画像をもとに,有効情報を可視化する手法などを提案,発表した.
  日本学術振興会, 萌芽研究, 東京農工大学, 17650024
• 空間線量観察のための多次元マジックレンズ
  宮村 浩子
  基盤研究（Ｃ）, 16K00167
• ポイントベース統合モデリング・レンダリング
  宮村 浩子
  若手研究（Ｂ）, 24700110
• 大規模分散環境を用いたP2Pネットワーク流通ファイル制御システムの研究
  宮村 浩子
  基盤研究（Ｂ）, 21300020
• 大規模時系列ボリュームデータ解析・可視化のための高次元データポケットの生成
  宮村 浩子
  若手研究（Ｂ）, 21700125
• 高次元ボリュームマップ生成～高次元データの探索ナビゲーションシステム～
  宮村 浩子
  若手研究（Ｂ）, 19700414