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http://ar.ntut.edu.tw/Professor/%E8%8A%AE%E7%A5%A5%E9%B5%AC/1324.aspx

 

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http://ar.ntut.edu.tw/Professor/%E9%BB%83%E5%9C%8B%E4%BF%AE/1404.aspx

 

l   2016¦~4¤ë11¤éÀò±o¤¤µØ¥Á°ê²ÄM520194¸¹±M§Q¡A±M§Q¦WºÙ¡u®ðîµ²ºc¡v

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2.ºK­n¡G¤@ºØ»´¶q¤Æªº®ðîµ²ºc¡A¥]§t¡G¥Ñ¥|­Ó¥­­±ºc¦¨ªº¥DÅé¡A¨Ï¥DÅé¤W¤è©M¤U¤è§e¶}©ñª¬ºA¡A¥B¥­­±ªº©³ºÝ¬Ò¨ã¦³¤@¼µÂi¡F¤@¤W»\¡A³]¸m©ó¥DÅé¤W¤è¡F¤@³z®ðªO¡A½¦¦X³]¸m©ó¥­­±©³ºÝªº¼µÂi¤W¡F¥H¤Î¤@³q®ð¤Õ¡A³]¸m©ó¤W»\¡A¥Î©ó±µ¨ü¼ä²b®ðÅé¶ñ¥R¡C

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http://ar.ntut.edu.tw/professor/%E8%83%A1%E7%9F%B3%E6%94%BF/1337

 

l   2016¦~5¤ë1¤éÀò±o¤¤µØ¥Á°ê²ÄM521078¸¹±M§Q¡A±M§Q¦WºÙ¡u§N§¡À£»s³Æ³³²¡¹v§÷¸Ë¸m¡v

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2.ºK­n¡G¥»±M§Q´£¨Ñ¤@ºØ§N§¡À£»s³Æ³³²¡¹v§÷¹v§÷¸Ë¸m¦p¥Nªí¹Ï©Ò¥Ü¡A¨ä¥D­n¥Ñ©w¦ì¤U¥­ªO¡B¹v§÷®y¡B©w¦ì¥~Àô»P¹ïºÙ¤¤¤ßÀ£ÀYºc¦¨¡C§Q¥Î²³æ§N§¡À£¤§¶b¦V¤OÀ£»s©w¦ì¥~Àô¤º³¡ªº¯»¥½¦Ü¦¨§Î¡C¥»±M§Q¤§¯SÂI¦b©ó¾A¥Î¦UºØ³³²¡¤Îª÷Äݧ÷®Æ¡A¥B¦b«Ç·Å¤U³z¹L§N§¡À£ªº¤è¦¡§Y¥i¦¨¥\»s³Æ¥X¹v§÷¦¨«~¡C

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http://ar.ntut.edu.tw/professor/%E9%AD%8F%E5%A4%A7%E8%8F%AF/1642

 

l   2016¦~5¤ë11¤éÀò±o¤¤µØ¥Á°ê²ÄM521852¸¹±M§Q¡A±M§Q¦WºÙ¡u¥iµø¨¤­««Øªº¤¬°Ê§ë¼v¨t²Î¸Ë¸m¡v

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2.ºK­n¡G¤@ºØ¥iµø¨¤­««Øªº¤¬°Ê§ë¼v¨t²Î¸Ë¸m¡A¥]¬A¤@²`«×·P´ú¸Ë¸m¡B¤@§ë¼v¸Ë¸m¡B¤Î¤@¸ê®Æ³B²z¸Ë¸m¡C²`«×·P´ú¸Ë¸m¥Î¥H·P´ú¤@Æ[ªÌªºªÅ¶¡¦ì¸m¡C§ë¼v¸Ë¸m¥Î¥H§ë®g¤@µêÀÀ¼v¹³¦Ü¤@¹êÅé¼Ò¡A¸ÓµêÀÀ¼v¹³»P¸Ó¹êÅé¼Ò°t®M¡C¸ê®Æ³B²z¸Ë¸m¥Î¥H³z¹L¸Ó²`«×·P´ú¸Ë¸m±µ¦¬¸ÓÆ[ªÌªºªÅ¶¡¦ì¸m¤§«á¡A§Y®ÉÂà´«¥X¹ïÀ³¸ÓÆ[ªÌªº¥ßÅé²`«×¸ê®Æ¡A¨Ã¿é¥X¸ÓµêÀÀ¼v¹³¦Ü¸Ó§ë¼v¸Ë¸m¡A¨Ï¸ÓµêÀÀ¼v¹³¯à³Q§ë®g¨ì¸Ó¹êÅé¼Ò¡C·í¸Ó¸ê®Æ³B²z¸Ë¸m®Ú¾Ú¸Ó¥ßÅé²`«×¸ê®Æ§PÂ_¸ÓÆ[ªÌªºªÅ¶¡¦ì¸m§ïÅܤ§«á¡A±N»P¸Ó¹êÅé¼Ò°t®Mªº¸ÓµêÀÀ¼v¹³¦A¸g¹L­pºâ«á¡A¨Ï¸ÓµêÀÀ¼v¹³®Ú¾Ú¸ÓÆ[ªÌªºªÅ¶¡¦ì¸mªº§ïÅܦӦb¸Ó¹êÅé¼Òªí­±²£¥Í¤W¤U¡B¥ª¥k©Î²`«×ªºµø¨¤»PªÅ¶¡ÅÜ´«¡A¥H²Å¦X¹ê»ÚªºªÅ¶¡»{ª¾¡C

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http://ar.ntut.edu.tw/professor/%E9%BE%8D%E7%A5%88%E6%BE%94/1713

 

l   2016¦~6¤ë1¤éÀò±o¤¤µØ¥Á°ê²ÄM523236¸¹±M§Q¡A±M§Q¦WºÙ¡uÂŪ޶ǿé¸ê°T¬ö¿ý¨t²Î¡v

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2.ºK­n¡G¤@ºØ¾A¥Î©ó»·¶ZÂ÷±±¨î¤â¾÷¿ý­µ³nÅ骺ÂŪ޶ǿé¸ê°T¬ö¿ý¨t²Î¡A¥]§t¤âÀô¡B´¼¼z«¬¤â¾÷¡B°¼¿ý³nÅé¤T¤j³¡¥÷¡C­º¥ý¡A¤âÀô¥~°¼¦w¸Ë¤F¤@­Ó±±¨î«ö¶s¥H¤Î¤@­ÓÀô§Î¤Ñ½u¡A¨Ã¥BÂǥѦ¹±±¨î«ö¶s¨ÓIJµoÂŪ޼ҲաF¥t¤@¤è­±¡AÀô§Î¤Ñ½uªº¤u§@ÀW²v¬°2.402-2.480GHz-¥ç§YÂŪ޳q°Tªº¤u§@ÀW±a¡A¥¦±N¶Ç°eÂŪ޼ҲժºÄ²µo°T¸¹¦Ü´¼¼z«¬¤â¾÷¡C·í¤â¾÷±µ¨ü¨ì¦¹Ä²µo°T¸¹¡A±N·|¦Û°Ê±Ò°Ê¥»¨t²Î©Ò¼¶¼gªº°¼¿ý³nÅé¡A¦]¦¹¡A¥]§tÁn­µ¡B¼v¹³¡B¹Ï¤ùµ¥°¼¿ý¸ê°T±N¯à§óÁô±K¦a³Q¤â¾÷°O¿ý¡C

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http://ar.ntut.edu.tw/professor/%E9%99%B3%E6%99%8F%E7%AC%99/1716

 

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2.ºK­n¡G¤@ºØ´È¤l¥]§t¤@´È®y¤Î¤@§¤¶ô¡A¸Ó´È®y¥]¬A¤@·§§e²y­±©·§Î¤U¥Wªº³»­±¡F¸Ó§¤¶ô³]¸m©ó¸Ó´È®yªº³»­±¡A¨Ã¥]¬A¤@·§§e²y­±©·§Î¥B»P¸Ó´È®y¤§³»­±¬Û°t¦Xªº©³­±¡A¤Î¤@¬Û¤Ï©ó¸Ó©³­±¨Ñ¨Ï¥ÎªÌ­¼§¤ªº­¼§¤­±¡F¸Ó§¤¶ôªº©³­±¥i¬Û¹ï©ó¸Ó´È®yªº³»­±·Æ°Ê¡A¦]¦¹¡A·í¨Ï¥ÎªÌ­¼§¤©ó¸Ó§¤¶ô¤W®É¡A¯àÅéÅç¦p­¼²î¯ë·n®Ìªº·Pı¡C

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http://ar.ntut.edu.tw/professor/%E5%BC%B5%E8%8B%A5%E8%8F%A1/1674

 

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2.ºK­n¡G¤@ºØ¦h¬q½Õ¾ã¦¡®y´È¡A¥]§t¡G¤@°ò®y¡A¨ã¦³¤@¹ï²Ä¤@·Æ¼Ñ¡A¤Î¦h¹ï©¼¦¹³s³qªº²Ä¤G·Æ¼Ñ¡F¤@²Ä¤@ªOÅé¡F¤G²Ä¤@¥Y¶b¡Aªu¤@²Ä¤@¶b½u¥Y³]©ó¸Ó²Ä¤@ªOÅé¡A¥B¤À§O¦ù¤J¸Óµ¥²Ä¤@·Æ¼Ñ¡A¨Ã¯àªu¸Óµ¥²Ä¤@·Æ¼Ñ·Æ°Ê¡F¤Î¤G²Ä¤G¥Y¶b¡Aªu¤@¬Û²§©ó¸Ó²Ä¤@¶b½uªº²Ä¤G¶b½u¥Y³]©ó¸Ó²Ä¤@ªOÅé¡A¥B¯à¤À§O¦ù¤J¨C¤@¹ï²Ä¤G·Æ¼Ñ¡A¨Ã¯àªu¸Óµ¥²Ä¤G·Æ¼Ñ·Æ°Ê¡F¸Óµ¥²Ä¤G¥Y¶b·Æ°Ê¦Ü¤£¦P¹ï²Ä¤G·Æ¼Ñ®É¡A¸Ó²Ä¤@ªOÅé»P¤@¤ô¥­­±ªº§¨¨¤¬Û²§¡C

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l   2016¦~3¤ë29¤éÀò±o¬ü°ê²ÄUS 9,296,528 B2¸¹±M§Q¡A±M§Q¦WºÙ¡uContainer With Easily-Detached Lid (©ö±È»\¤§ªi®ö³y«¬ÅøÅé¸Ë¸m)¡v

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2.ºK­n¡GA container has a main body and an easily-detached lid. The main body has an opening, and a main body engaging element is disposed around the edge of the opening. The lid has a lid engaging element corresponding to the main body engaging element for allowing the lid to engage with the main body via the main body engaging element and the lid engaging element. A wall is disposed at the outer boundary of the lid, and the wall has at least one tilting portion.

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http://www.id.ntut.edu.tw/files/13-1056-26307.php

 

l   2016¦~3¤ë15¤éÀò±o¬ü°ê²ÄUS 9,286,690 B2¸¹±M§Q¡A±M§Q¦WºÙ¡uMethod And Apparatus For Moving Object Detection Using Fisher¡¦S Linear Discriminant Based Radial Basis Function Network (´¼¼z«¬¥æ³qºÊ±±¨t²Î¤§¦b¯u¹ê¥@¬ÉÅÜ°ÊÀW¼e¤Uªº¦Û°Ê²¾°Êª«ÅéÂ^¨ú)¡v

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2.ºK­n¡GA method for moving object detection based on a Fisher's Linear Discriminant-based Radial Basis Function Network (FLD-based RBF network) includes the following steps. A sequence of incoming frames of a fixed location delivered over a network are received. A plurality of discriminant patterns are generated from the sequence of incoming frames based on a Fisher's Linear Discriminant (FLD) model. A background model is constructed from the sequence of incoming frames based on a Radial Basis Function (RBF) network model. A current incoming frame is received and divided into a plurality of current incoming blocks. Each of the current incoming blocks is classified as either a background block or a moving object block according to the discriminant patterns. Whether a current incoming pixel of the moving object blocks among the current incoming blocks is a moving object pixel or a background pixel is determined according to the background model.

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http://www.el.ntut.edu.tw/files/15-1044-5659,c2682-1.php

 

l   2016¦~4¤ë5¤éÀò±o¬ü°ê²ÄUS 9,305,242 B2¸¹±M§Q¡A±M§Q¦WºÙ¡uMethod And Image Prcoessing Apparatus For Image Visibility Restoration Using Fisher¡¦S Linear Discriminant Based Dual Dark Channel Prior(°ò©ó¶O³·½u©Ê§P§OªºÂù·t³q¹D¥ýÅ窺¼v¹³¯à¨£«×­×´_¤èªk¤Î¨ä¼v¹³³B²z¸Ë¸m)¡v

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2.ºK­n¡GA method and an image processing apparatus for image visibility restoration are provided. The method includes the following steps. After an incoming hazy image is received, each of the incoming pixels is classified as either belonging to a localized light region or a non-localized light region. The localized light region is partitioned into patches according to each patch size in associated with image sizes in a training data set. Localized light patches are determined based on a FLD model and a designated patch size is accordingly determined. Adaptive chromatic parameters and dual dark channel priors corresponding to the designated patch size and a small patch size are determined. The incoming hazy image is restored according to the adaptive chromatic parameters, atmospheric light and a transmission map determined based on the dual dark channel priors to produce and output a de-hazed image.

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l   2016¦~5¤ë24¤éÀò±o¬ü°ê²ÄUS 9,349,193 B2¸¹±M§Q¡A±M§Q¦WºÙ¡uMethod And Apparatus For Moving Object Detection Using Principal Component Analysis Based Radial Basis Function Network¡v

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2.ºK­n¡GA method for moving object detection based on a Principal Component Analysis-based Radial Basis Function network (PCA-based RBF network) includes the following steps. A sequence of incoming frames of a fixed location delivered over a network are received. A plurality of Eigen-patterns are generated from the sequence of incoming frames based on a Principal Component Analysis (PCA) model. A background model is constructed from the sequence of incoming frames based on a Radial Basis Function (RBF) network model. A current incoming frame is received and divided into a plurality of current incoming blocks. Each of the current incoming blocks is classified as either a background block or a moving object block according to the Eigen-patterns. Whether a current incoming pixel of the moving object blocks among the current incoming blocks is a moving object pixel or a background pixel is determined according to the background model.

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