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u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The rapid technological developments of the past decade and the changes in echocardiographic practice brought about by these developments have resulted in the need for updated recommendations to the previously published guidelines for... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_13123301" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The rapid technological developments of the past decade and the changes in echocardiographic practice brought about by these developments have resulted in the need for updated recommendations to the previously published guidelines for cardiac chamber quantification, which was the goal of the joint writing group assembled by the American Society of Echocardiography and the European Association of Cardiovascular Imaging. This document provides updated normal values for all four cardiac chambers, including three-dimensional echocardiography and myocardial deformation, when possible, on the basis of considerably larger numbers of normal subjects, compiled from multiple databases. In addition, this document attempts to eliminate several minor discrepancies that existed between previously published guidelines. (J Am Soc Echocardiogr 2015; 28: :1-39.).</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/13123301" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="53ec846a7bbb93f2c280cec042058a16" rel="nofollow" data-download="{"attachment_id":45906746,"asset_id":13123301,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/45906746/download_file?st=MTczMjgyMTA0NCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="35593715" href="https://massgeneral.academia.edu/MichaelPicard">Michael Picard</a><script data-card-contents-for-user="35593715" type="text/json">{"id":35593715,"first_name":"Michael","last_name":"Picard","domain_name":"massgeneral","page_name":"MichaelPicard","display_name":"Michael Picard","profile_url":"https://massgeneral.academia.edu/MichaelPicard?f_ri=1131","photo":"https://0.academia-photos.com/35593715/86568320/75235217/s65_michael.picard.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-13123301">+1</span><div class="hidden js-additional-users-13123301"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://unipd.academia.edu/LuigiBadano">Luigi Badano</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-13123301'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-13123301').html(); 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href="https://www.academia.edu/Documents/in/Control_Theory">Control Theory</a>, <script data-card-contents-for-ri="2199" type="text/json">{"id":2199,"name":"Control Theory","url":"https://www.academia.edu/Documents/in/Control_Theory?f_ri=1131","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="14947" href="https://www.academia.edu/Documents/in/Algebraic_Graph_Theory">Algebraic Graph Theory</a>, <script data-card-contents-for-ri="14947" type="text/json">{"id":14947,"name":"Algebraic Graph Theory","url":"https://www.academia.edu/Documents/in/Algebraic_Graph_Theory?f_ri=1131","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="22686" href="https://www.academia.edu/Documents/in/Distributed_System">Distributed System</a><script data-card-contents-for-ri="22686" type="text/json">{"id":22686,"name":"Distributed 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Laplacian","url":"https://www.academia.edu/Documents/in/graph_Laplacian?f_ri=1131"},{"id":1967992,"name":"Cooperative Control","url":"https://www.academia.edu/Documents/in/Cooperative_Control?f_ri=1131"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_62119466" data-work_id="62119466" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/62119466/Early_Goal_Directed_Therapy_In_the_Treatment_of_Severe_Sepsis_and_Septic_Shock">Early Goal-Directed Therapy In the Treatment of Severe Sepsis and Septic Shock</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Background Goal-directed therapy has been used for severe sepsis and septic shock in the intensive care unit. This approach involves adjustments of cardiac preload, afterload, and contractility to balance oxygen delivery with oxygen... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_62119466" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Background Goal-directed therapy has been used for severe sepsis and septic shock in the intensive care unit. This approach involves adjustments of cardiac preload, afterload, and contractility to balance oxygen delivery with oxygen demand. The purpose of this study ...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/62119466" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="4639ec79e002ad6d26565c002a94db9c" rel="nofollow" data-download="{"attachment_id":74967119,"asset_id":62119466,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/74967119/download_file?st=MTczMjgyMTA0NCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="33388848" href="https://ameriphoto.academia.edu/ERivers">E. 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js-work-card work_20775295" data-work_id="20775295" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/20775295/Two_photon_laser_scanning_fluorescence_microscopy_using_photonic_crystal_fiber">Two-photon laser scanning fluorescence microscopy using photonic crystal fiber</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">We report the application of a simple yet powerful modular pulse compression system based on photonic crystal fibers that improves on incumbent two-photon laser scanning fluorescence microscopy techniques. This system provides more than a... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_20775295" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">We report the application of a simple yet powerful modular pulse compression system based on photonic crystal fibers that improves on incumbent two-photon laser scanning fluorescence microscopy techniques. This system provides more than a sevenfold increase in fluorescence yield when compared with a commercial two-photon microscopy system. From this, we infer pulses of IR radiation of less than 35 fs duration reaching the sample.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/20775295" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="524a5ebe39bebf0b6eb5a44fcb6b0ea4" rel="nofollow" data-download="{"attachment_id":41924487,"asset_id":20775295,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/41924487/download_file?st=MTczMjgyMTA0NCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="42058122" href="https://ulaval.academia.edu/AnnieCastonguay">Annie Castonguay</a><script data-card-contents-for-user="42058122" type="text/json">{"id":42058122,"first_name":"Annie","last_name":"Castonguay","domain_name":"ulaval","page_name":"AnnieCastonguay","display_name":"Annie Castonguay","profile_url":"https://ulaval.academia.edu/AnnieCastonguay?f_ri=1131","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_20775295 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="20775295"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 20775295, container: ".js-paper-rank-work_20775295", }); 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Staphylococcus aureus</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/3602660" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="faf28218473ab6050c5b4d3f64383e45" rel="nofollow" data-download="{"attachment_id":31299161,"asset_id":3602660,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" 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class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The experimental study of joint kinematics in three dimensions requires the description and measurement of six motion components. An important aspect of any method of description is the ease with which it is communicated to those who use... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_45473616" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The experimental study of joint kinematics in three dimensions requires the description and measurement of six motion components. An important aspect of any method of description is the ease with which it is communicated to those who use the data. This paper presents a joint coordinate system that provides a simple geometric description of the three-dimensional rotational and translational motion between two rigid bodies. The coordinate system is applied to the knee and related to the commonly used clinical terms for knee joint motion. A convenient characteristic of the coordinate system shared by spatial linkages is that large joint displacements are independent of the order in which the component translations and rotations occur.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/45473616" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="3e1117d7248d9a2fdf762a8bc4d32c2f" rel="nofollow" data-download="{"attachment_id":65975719,"asset_id":45473616,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/65975719/download_file?st=MTczMjgyMTA0NCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="51628763" href="https://uc.academia.edu/EdwardGrood">Edward Grood</a><script data-card-contents-for-user="51628763" type="text/json">{"id":51628763,"first_name":"Edward","last_name":"Grood","domain_name":"uc","page_name":"EdwardGrood","display_name":"Edward Grood","profile_url":"https://uc.academia.edu/EdwardGrood?f_ri=1131","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_45473616 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="45473616"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 45473616, container: ".js-paper-rank-work_45473616", }); 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An important aspect of any method of description is the ease with which it is communicated to those who use the data. This paper presents a joint coordinate system that provides a simple geometric description of the three-dimensional rotational and translational motion between two rigid bodies. The coordinate system is applied to the knee and related to the commonly used clinical terms for knee joint motion. A convenient characteristic of the coordinate system shared by spatial linkages is that large joint displacements are independent of the order in which the component translations and rotations occur.","downloadable_attachments":[{"id":65975719,"asset_id":45473616,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":51628763,"first_name":"Edward","last_name":"Grood","domain_name":"uc","page_name":"EdwardGrood","display_name":"Edward Grood","profile_url":"https://uc.academia.edu/EdwardGrood?f_ri=1131","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering?f_ri=1131","nofollow":false},{"id":70,"name":"Biomechanical 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paper is to present a critical survey of existing literature on human and machine recognition of faces. Machine recognition of faces has several applications, ranging from static matching of controlled photographs as in... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_1496701" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The goal of this paper is to present a critical survey of existing literature on human and machine recognition of faces. Machine recognition of faces has several applications, ranging from static matching of controlled photographs as in mug shots matching and credit card verification to surveillance video images. Such applications have different constraints in terms of complexity of processing requirements and thus present a wide range of different technical challenges. Over the last 20 years researchers in psychophysics, neural sciences and engineering, image processing analysis and computer vision have investigated a number of issues related to face recognition by humans and machines. Ongoing research activities have been given a renewed emphasis over the last five years. Existing techniques and systems have been tested on different sets of images of varying complexities. But very little synergism exists between studies in psychophysics and the engineering literature. Most importantly, there exists no evaluation or benchmarking studies using large databases with the image quality that arises in commercial and law enforcement applications In this paper, we first present different applications of face recognition in commercial and law enforcement sectors. This is followed by a brief overview of the literature on face recognition in the psychophysics community. We then present a detailed overview of move than 20 years of research done in the engineering community. Techniques for segmentation/location of the face, feature extraction and recognition are reviewed. Global transform and feature based methods using statistical, structural and neural classifiers are summarized</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/1496701" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="57f111dc7feb00c6e54e550769e639a6" rel="nofollow" data-download="{"attachment_id":50948727,"asset_id":1496701,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/50948727/download_file?st=MTczMjgyMTA0NCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1428635" href="https://independent.academia.edu/RaviEdirisinghe">Ravi Edirisinghe</a><script data-card-contents-for-user="1428635" type="text/json">{"id":1428635,"first_name":"Ravi","last_name":"Edirisinghe","domain_name":"independent","page_name":"RaviEdirisinghe","display_name":"Ravi Edirisinghe","profile_url":"https://independent.academia.edu/RaviEdirisinghe?f_ri=1131","photo":"https://0.academia-photos.com/1428635/514069/645467/s65_ravi.edirisinghe.jpg"}</script></span></span></li><li class="js-paper-rank-work_1496701 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="1496701"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 1496701, container: ".js-paper-rank-work_1496701", }); 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Machine recognition of faces has several applications, ranging from static matching of controlled photographs as in mug shots matching and credit card verification to surveillance video images. Such applications have different constraints in terms of complexity of processing requirements and thus present a wide range of different technical challenges. Over the last 20 years researchers in psychophysics, neural sciences and engineering, image processing analysis and computer vision have investigated a number of issues related to face recognition by humans and machines. Ongoing research activities have been given a renewed emphasis over the last five years. Existing techniques and systems have been tested on different sets of images of varying complexities. But very little synergism exists between studies in psychophysics and the engineering literature. Most importantly, there exists no evaluation or benchmarking studies using large databases with the image quality that arises in commercial and law enforcement applications In this paper, we first present different applications of face recognition in commercial and law enforcement sectors. This is followed by a brief overview of the literature on face recognition in the psychophysics community. We then present a detailed overview of move than 20 years of research done in the engineering community. Techniques for segmentation/location of the face, feature extraction and recognition are reviewed. Global transform and feature based methods using statistical, structural and neural classifiers are summarized","downloadable_attachments":[{"id":50948727,"asset_id":1496701,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":1428635,"first_name":"Ravi","last_name":"Edirisinghe","domain_name":"independent","page_name":"RaviEdirisinghe","display_name":"Ravi Edirisinghe","profile_url":"https://independent.academia.edu/RaviEdirisinghe?f_ri=1131","photo":"https://0.academia-photos.com/1428635/514069/645467/s65_ravi.edirisinghe.jpg"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=1131","nofollow":false},{"id":246,"name":"Psychophysics","url":"https://www.academia.edu/Documents/in/Psychophysics?f_ri=1131","nofollow":false},{"id":854,"name":"Computer Vision","url":"https://www.academia.edu/Documents/in/Computer_Vision?f_ri=1131","nofollow":false},{"id":1131,"name":"Biomedical 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type="text/json">{"id":121418,"name":"Tunneling","url":"https://www.academia.edu/Documents/in/Tunneling?f_ri=1131","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="121477" href="https://www.academia.edu/Documents/in/Leakage_Current">Leakage Current</a><script data-card-contents-for-ri="121477" type="text/json">{"id":121477,"name":"Leakage Current","url":"https://www.academia.edu/Documents/in/Leakage_Current?f_ri=1131","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=8297134]'), work: {"id":8297134,"title":"Leakage current mechanisms and leakage reduction techniques in deep-submicrometer CMOS 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class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_32322752" data-work_id="32322752" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/32322752/S_Oft_L_Ithography_in_B_Iology_and_B_Iochemistry">S Oft L Ithography in B Iology and B Iochemistry</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/32322752" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a 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Materials","url":"https://www.academia.edu/Documents/in/Biocompatible_Materials?f_ri=1131"},{"id":1724844,"name":"Molecular Structure","url":"https://www.academia.edu/Documents/in/Molecular_Structure?f_ri=1131"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_9691581" data-work_id="9691581" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/9691581/BCI2000_A_general_purpose_brain_computer_interface">BCI2000: A general purpose brain-computer interface</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" 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type="text/json">{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=1131","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1026" href="https://www.academia.edu/Documents/in/Psychophysiology">Psychophysiology</a>, <script data-card-contents-for-ri="1026" type="text/json">{"id":1026,"name":"Psychophysiology","url":"https://www.academia.edu/Documents/in/Psychophysiology?f_ri=1131","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1131" href="https://www.academia.edu/Documents/in/Biomedical_Engineering">Biomedical Engineering</a>, <script data-card-contents-for-ri="1131" type="text/json">{"id":1131,"name":"Biomedical Engineering","url":"https://www.academia.edu/Documents/in/Biomedical_Engineering?f_ri=1131","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="2141" href="https://www.academia.edu/Documents/in/Signal_Processing">Signal Processing</a><script 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Schalk","profile_url":"https://wadsworth.academia.edu/GerwinSchalk?f_ri=1131","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=1131","nofollow":false},{"id":1026,"name":"Psychophysiology","url":"https://www.academia.edu/Documents/in/Psychophysiology?f_ri=1131","nofollow":false},{"id":1131,"name":"Biomedical Engineering","url":"https://www.academia.edu/Documents/in/Biomedical_Engineering?f_ri=1131","nofollow":false},{"id":2141,"name":"Signal Processing","url":"https://www.academia.edu/Documents/in/Signal_Processing?f_ri=1131","nofollow":false},{"id":4212,"name":"Cognition","url":"https://www.academia.edu/Documents/in/Cognition?f_ri=1131"},{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography?f_ri=1131"},{"id":11880,"name":"Brain Computer Interface","url":"https://www.academia.edu/Documents/in/Brain_Computer_Interface?f_ri=1131"},{"id":30596,"name":"Control Systems","url":"https://www.academia.edu/Documents/in/Control_Systems?f_ri=1131"},{"id":36237,"name":"Biomedical","url":"https://www.academia.edu/Documents/in/Biomedical?f_ri=1131"},{"id":37745,"name":"Systems Integration","url":"https://www.academia.edu/Documents/in/Systems_Integration?f_ri=1131"},{"id":61474,"name":"Brain","url":"https://www.academia.edu/Documents/in/Brain?f_ri=1131"},{"id":61516,"name":"Evoked Potentials","url":"https://www.academia.edu/Documents/in/Evoked_Potentials?f_ri=1131"},{"id":82999,"name":"Protocols","url":"https://www.academia.edu/Documents/in/Protocols?f_ri=1131"},{"id":86833,"name":"Brain Computer Interfaces","url":"https://www.academia.edu/Documents/in/Brain_Computer_Interfaces?f_ri=1131"},{"id":129891,"name":"Research and Development","url":"https://www.academia.edu/Documents/in/Research_and_Development-2?f_ri=1131"},{"id":229390,"name":"Real Time","url":"https://www.academia.edu/Documents/in/Real_Time?f_ri=1131"},{"id":255094,"name":"Computer User Interface Design","url":"https://www.academia.edu/Documents/in/Computer_User_Interface_Design?f_ri=1131"},{"id":679783,"name":"Boolean Satisfiability","url":"https://www.academia.edu/Documents/in/Boolean_Satisfiability?f_ri=1131"},{"id":1145520,"name":"Equipment Design","url":"https://www.academia.edu/Documents/in/Equipment_Design?f_ri=1131"},{"id":1157424,"name":"Equipment Failure Analysis","url":"https://www.academia.edu/Documents/in/Equipment_Failure_Analysis?f_ri=1131"},{"id":1237788,"name":"Electrical And Electronic Engineering","url":"https://www.academia.edu/Documents/in/Electrical_And_Electronic_Engineering?f_ri=1131"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_10527652" data-work_id="10527652" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/10527652/Neuro_fuzzy_modeling_and_control">Neuro-fuzzy modeling and control</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Fundamental and advanced developments in neuro-fuzzy synergisms for modeling and control are reviewed. The essential part of neuro-fuzzy synergisms comes from a common framework called adaptive networks, which unifies both neural networks... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_10527652" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Fundamental and advanced developments in neuro-fuzzy synergisms for modeling and control are reviewed. The essential part of neuro-fuzzy synergisms comes from a common framework called adaptive networks, which unifies both neural networks and fuzzy models. The fuzzy models under the framework of adaptive networks is called adaptive-network-based fuzzy inference system (ANFIS), which possess certain advantages over neural networks. We introduce the design methods for ANFIS in both modeling and control applications. Current problems and future directions for neuro-fuzzy approaches are also addressed</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/10527652" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="a34eb3005446ee837440ff4b752c0e1a" rel="nofollow" data-download="{"attachment_id":47324822,"asset_id":10527652,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/47324822/download_file?st=MTczMjgyMTA0NCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="25801650" href="https://independent.academia.edu/ChuenTsaiSun">Chuen-Tsai Sun</a><script data-card-contents-for-user="25801650" type="text/json">{"id":25801650,"first_name":"Chuen-Tsai","last_name":"Sun","domain_name":"independent","page_name":"ChuenTsaiSun","display_name":"Chuen-Tsai Sun","profile_url":"https://independent.academia.edu/ChuenTsaiSun?f_ri=1131","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_10527652 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="10527652"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 10527652, container: ".js-paper-rank-work_10527652", }); 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