{"id":4508,"global_id":"aimap.imi.kyushu-u.ac.jp\/wp?id=4508","global_id_lineage":["aimap.imi.kyushu-u.ac.jp\/wp?id=4508"],"author":"1","status":"publish","date":"2019-10-15 14:48:56","date_utc":"2019-10-15 05:48:56","modified":"2019-10-17 11:14:26","modified_utc":"2019-10-17 02:14:26","url":"https:\/\/aimap.imi.kyushu-u.ac.jp\/wp\/event\/2019a012\/","rest_url":"https:\/\/aimap.imi.kyushu-u.ac.jp\/wp\/wp-json\/tribe\/events\/v1\/events\/4508","title":"RIMS \u5171\u540c\u7814\u7a76\uff08\u30b0\u30eb\u30fc\u30d7\u578bA\uff09\u300c\u591a\u6b21\u5143 Stockwell \u5909\u63db\u3068\u6642\u9593\u5468\u6ce2\u6570\u89e3\u6790\u300d","description":"<p>\u25a0\u65e5\u6642\uff1a2019\u5e7411\u67086\u65e5\uff5e7\u65e5<\/p>\n<p>\u25a0\u4f1a\u5834\uff1a\u4eac\u90fd\u5927\u5b66\u3000\u7dcf\u5408\u7814\u7a7615\u53f7\u9928\u3000201\u30bb\u30df\u30ca\u30fc\u5ba4<\/p>\n<p>\u25a0\u7814\u7a76\u4f1a\u30a6\u30a7\u30d6\u30da\u30fc\u30b8\uff1a<a href=\"http:\/\/www.osaka-kyoiku.ac.jp\/~ashino\/rims2019\/\">http:\/\/www.osaka-kyoiku.ac.jp\/~ashino\/rims2019\/<\/a><\/p>\n<p>\u25a0\u30d7\u30ed\u30b0\u30e9\u30e0\uff1a<\/p>\n<p>11 \u67086\u65e5\uff08\u6c34\uff09<\/p>\n<p>13:00 \u2013 14:00 Luigi Riba (Data engineer and product specialist, Irion, Italy)<\/p>\n<p>A link among multi-dimensional Stockwell transform, Gabor transform and wavelet transform<\/p>\n<p>The reasoning behind the definition of the multi-dimensional Stockwell trans- form is described <br \/>\nin detail. Several continuous inversion formulas for the multi-dimensional Stockwell <br \/>\ntransform under di\ufb00erent sets of hypothesis are provided.<\/p>\n<p>14:15 \u2013 15:15 Tamotu Kinoshita (Mathematics, University of Tsukuba)<\/p>\n<p>On directional frames having Lipschitz continuous Fourier transforms As a discretization of <br \/>\ntwo-dimensional wavelet transforms, we study direc- tional frames having Lipschitz <br \/>\ncontinuous Fourier transforms based on con- centric regular 2N -sided polygons in the <br \/>\nfrequency domain. Especially, we consider a new simple way of expansions with non-Parseval <br \/>\nframes for better reconstructions. Moreover, we also propose a discretization scheme of <br \/>\nthe inversion of the Radon transform, and represent the solution of the wave<\/p>\n<p>equation.<\/p>\n<p>15:45 \u2013 16:45 Kazuaki Nakane (Internal Medicine, Osaka University)<\/p>\n<p>Cytology support system via topological idea<\/p>\n<p>Cytodiagnosis is a method for diagnosing whether cancer cells are contained in cells collected <br \/>\nfrom the human body. Because it can be performed eas- ily, the number of diagnoses <br \/>\nis increasing year by year. The shortage of pathologists is serious problem in <br \/>\nglobal, and the development of assistive technology using computers is an urgent issue. In <br \/>\nthis talk, the method using<\/p>\n<p>topological ideas and several results are introduced.<\/p>\n<p>\n11 \u6708 7 \u65e5\uff08\u6728\uff09<\/p>\n<p>9:30 \u2013 10:30 Luigi Riba (Data engineer and product specialist, Irion, Italy)<\/p>\n<p>Discrete orthonormal Stockwell transform and two-dimensional applica- tions<\/p>\n<p>The discrete orthonormal Stockwell transform, its properties and its exten- sion to the <br \/>\nmulti-dimensional case are described. An application of Stockwell transform to Ground Penetrating <br \/>\nRadar (GPR) images is given.<\/p>\n<p>10:45 \u2013 11:45 Shinya Moritoh (Mathematics, Nara Women\u2019s University)<\/p>\n<p>Two-microlocal estimates in wavelet theory and related function spaces We talk about <br \/>\ntwo-microlocal estimates in wavelet theory and related func- tion spaces, which is a <br \/>\ncontinuation of our work in 2004 and 2016. Some applications are also considered.<\/p>\n<p>13:15 \u2013 14:15 Kensuke Fujinoki (Mathematical Sciences, Tokai University)<\/p>\n<p>Aspects of frame analysis<\/p>\n<p>Frame theory has been known as a branch of functional analysis while a frame itself <br \/>\nhas also been known as an indispensable tool used in a wide range of data analysis, <br \/>\nespecially signal processing. In this talk we overview the basic and general theory for frame <br \/>\nanalysis, and introduce the recent de- velopments and applications in signal processing including <br \/>\nsampling theory, Gabor systems and wavelet systems.<\/p>\n<p>14:30 \u2013 15:30 Zhong Zhang (Mechanical Engineering, Toyohashi University of Technology)<\/p>\n<p>Cracks in Concrete Detected by 2 Dimensional Complex Discrete Wavelet Packet Transform using <br \/>\ncomplex-valued Haar wavelet<\/p>\n<p>In this study, we focused on the ability to detect cracks, and designed a <br \/>\ncomplex-valued Haar wavelet, and applied it to 2D-CWPT. 2D-CWPT and anisotropic di\ufb00usion filter <br \/>\nwere combined, and tested, and a crack detection method for linear cracks was proposed <br \/>\nthrough interpolation of the crack<\/p>\n<p>loss area and extraction processing according to the shape feature.<\/p>\n<p><a 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