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Search results for: Norimasa Nakashima

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</div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Norimasa Nakashima</h1> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4</span> Improved IDR(s) Method for Gaining Very Accurate Solutions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Yusuke%20Onoue">Yusuke Onoue</a>, <a href="https://publications.waset.org/search?q=Seiji%20Fujino"> Seiji Fujino</a>, <a href="https://publications.waset.org/search?q=Norimasa%20Nakashima"> Norimasa Nakashima</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>The IDR(s) method based on an extended IDR theorem was proposed by Sonneveld and van Gijzen. The original IDR(s) method has excellent property compared with the conventional iterative methods in terms of efficiency and small amount of memory. IDR(s) method, however, has unexpected property that relative residual 2-norm stagnates at the level of less than 10-12. In this paper, an effective strategy for stagnation detection, stagnation avoidance using adaptively information of parameter s and improvement of convergence rate itself of IDR(s) method are proposed in order to gain high accuracy of the approximated solution of IDR(s) method. Through numerical experiments, effectiveness of adaptive tuning IDR(s) method is verified and demonstrated.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Krylov%20subspace%20methods" title="Krylov subspace methods">Krylov subspace methods</a>, <a href="https://publications.waset.org/search?q=IDR%28s%29" title=" IDR(s)"> IDR(s)</a>, <a href="https://publications.waset.org/search?q=adaptive%20tuning" title=" adaptive tuning"> adaptive tuning</a>, <a href="https://publications.waset.org/search?q=stagnation%20of%20relative%20residual." title=" stagnation of relative residual."> stagnation of relative residual.</a> </p> <a href="https://publications.waset.org/6349/improved-idrs-method-for-gaining-very-accurate-solutions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/6349/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/6349/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/6349/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/6349/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/6349/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/6349/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/6349/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/6349/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/6349/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/6349/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/6349.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">1473</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3</span> Numerical Simulations of Flood and Inundation in Jobaru River Basin Using Laser Profiler Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Hiroto%20Nakashima">Hiroto Nakashima</a>, <a href="https://publications.waset.org/search?q=Toshihiro%20Morita"> Toshihiro Morita</a>, <a href="https://publications.waset.org/search?q=Koichiro%20Ohgushi"> Koichiro Ohgushi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>Laser Profiler (LP) data from aerial laser surveys have been increasingly used as topographical inputs to numerical simulations of flooding and inundation in river basins. LP data has great potential for reproducing topography, but its effective usage has not yet been fully established. In this study, flooding and inundation are simulated numerically using LP data for the Jobaru River basin of Japan&rsquo;s Saga Plain. The analysis shows that the topography is reproduced satisfactorily in the computational domain with urban and agricultural areas requiring different grid sizes. A 2-D numerical simulation shows that flood flow behavior changes as grid size is varied.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=LP%20data" title="LP data">LP data</a>, <a href="https://publications.waset.org/search?q=numerical%20simulation" title=" numerical simulation"> numerical simulation</a>, <a href="https://publications.waset.org/search?q=topological%20analysis" title=" topological analysis"> topological analysis</a>, <a href="https://publications.waset.org/search?q=mesh%20size." title=" mesh size."> mesh size.</a> </p> <a href="https://publications.waset.org/16598/numerical-simulations-of-flood-and-inundation-in-jobaru-river-basin-using-laser-profiler-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/16598/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/16598/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/16598/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/16598/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/16598/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/16598/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/16598/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/16598/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/16598/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/16598/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/16598.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">1536</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Localization of Mobile Robots with Omnidirectional Cameras</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Tatsuya%20Kato">Tatsuya Kato</a>, <a href="https://publications.waset.org/search?q=Masanobu%20Nagata"> Masanobu Nagata</a>, <a href="https://publications.waset.org/search?q=Hidetoshi%20Nakashima"> Hidetoshi Nakashima</a>, <a href="https://publications.waset.org/search?q=Kazunori%20Matsuo"> Kazunori Matsuo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>Localization of mobile robots are important tasks for developing autonomous mobile robots. This paper proposes a method to estimate positions of a mobile robot using a omnidirectional camera on the robot. Landmarks for points of references are set up on a field where the robot works. The omnidirectional camera which can obtain 360 [deg] around images takes photographs of these landmarks. The positions of the robots are estimated from directions of these landmarks that are extracted from the images by image processing. This method can obtain the robot positions without accumulative position errors. Accuracy of the estimated robot positions by the proposed method are evaluated through some experiments. The results show that it can obtain the positions with small standard deviations. Therefore the method has possibilities of more accurate localization by tuning of appropriate offset parameters.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Mobile%20robots" title="Mobile robots">Mobile robots</a>, <a href="https://publications.waset.org/search?q=Localization" title=" Localization"> Localization</a>, <a href="https://publications.waset.org/search?q=Omnidirectional%20camera." title=" Omnidirectional camera."> Omnidirectional camera.</a> </p> <a href="https://publications.waset.org/9998919/localization-of-mobile-robots-with-omnidirectional-cameras" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/9998919/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/9998919/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/9998919/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/9998919/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/9998919/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/9998919/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/9998919/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/9998919/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/9998919/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/9998919/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/9998919.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">2336</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Improved Network Construction Methods Based on Virtual Rails for Mobile Sensor Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Noritaka%20Shigei">Noritaka Shigei</a>, <a href="https://publications.waset.org/search?q=Kazuto%20Matsumoto"> Kazuto Matsumoto</a>, <a href="https://publications.waset.org/search?q=Yoshiki%20Nakashima"> Yoshiki Nakashima</a>, <a href="https://publications.waset.org/search?q=Hiromi%20Miyajima"> Hiromi Miyajima</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>Although Mobile Wireless Sensor Networks (MWSNs), which consist of mobile sensor nodes (MSNs), can cover a wide range of observation region by using a small number of sensor nodes, they need to construct a network to collect the sensing data on the base station by moving the MSNs. As an effective method, the network construction method based on Virtual Rails (VRs), which is referred to as VR method, has been proposed. In this paper, we propose two types of effective techniques for the VR method. They can prolong the operation time of the network, which is limited by the battery capabilities of MSNs and the energy consumption of MSNs. The first technique, an effective arrangement of VRs, almost equalizes the number of MSNs belonging to each VR. The second technique, an adaptive movement method of MSNs, takes into account the residual energy of battery. In the simulation, we demonstrate that each technique can improve the network lifetime and the combination of both techniques is the most effective.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Wireless%20sensor%20network" title="Wireless sensor network">Wireless sensor network</a>, <a href="https://publications.waset.org/search?q=mobile%20sensor%20node" title=" mobile sensor node"> mobile sensor node</a>, <a href="https://publications.waset.org/search?q=relay%20of%20sensing%20data" title=" relay of sensing data"> relay of sensing data</a>, <a href="https://publications.waset.org/search?q=virtual%20rail" title=" virtual rail"> virtual rail</a>, <a href="https://publications.waset.org/search?q=residual%20energy." title=" residual energy."> residual energy.</a> </p> <a href="https://publications.waset.org/10003371/improved-network-construction-methods-based-on-virtual-rails-for-mobile-sensor-network" class="btn btn-primary 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