{"id":4532,"date":"2020-06-23T17:41:24","date_gmt":"2020-06-23T09:41:24","guid":{"rendered":"http:\/\/pairlabs.ai.pro6.designworks.tw\/?post_type=portfolio&#038;p=4532"},"modified":"2021-12-21T17:16:28","modified_gmt":"2021-12-21T09:16:28","slug":"intelligent-communications-and-networking-technologies-for-drone-cells-p-en","status":"publish","type":"portfolio","link":"https:\/\/pairlabs.ai\/en\/portfolio-item\/intelligent-communications-and-networking-technologies-for-drone-cells-p-en\/","title":{"rendered":"Intelligent Communications and Networking Technologies for Drone-Cells"},"content":{"rendered":"<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_1' class='avia-section main_color avia-section-large avia-no-border-styling avia-full-stretch av-section-color-overlay-active avia-bg-style-fixed    av-small-hide av-mini-hide container_wrap sidebar_right' style='background-repeat: no-repeat; background-image: url(https:\/\/pairlabs.ai\/wp-content\/uploads\/2020\/05\/wall005.jpg);background-attachment: fixed; background-position: bottom right;  '  data-section-bg-repeat='stretch' style='background-repeat: no-repeat; background-image: url(https:\/\/pairlabs.ai\/wp-content\/uploads\/2020\/05\/wall005.jpg);background-attachment: fixed; background-position: bottom right;  ' ><div class='av-section-color-overlay-wrap'><div class='av-section-color-overlay' style='opacity: 0.6; background-color: #ffffff; '><\/div><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4532'><div class='entry-content-wrapper clearfix'>\n<div class='flex_column_table av-equal-height-column-flextable -flextable' style='margin-top:0px; margin-bottom:-20px; '><div class=\"flex_column av_one_fourth  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding first   \" style='border-radius:0px; '><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' style='margin-top:0px; margin-bottom:-20px; '><div class='av-flex-placeholder'><\/div><div class=\"flex_column av_one_half  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding   \" style='border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '  style='font-size:20px; '  itemprop=\"text\" ><p style=\"text-align: center;\">Pervasive Artificial Intelligence Research (PAIR) Labs<\/p>\n<\/div><\/section><br \/>\n<div style='height:20px' class='hr hr-invisible   '><span class='hr-inner ' ><span class='hr-inner-style'><\/span><\/span><\/div><\/p><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' style='margin-top:0px; margin-bottom:-20px; '><div class='av-flex-placeholder'><\/div><div class=\"flex_column av_one_fourth  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding   \" style='border-radius:0px; '><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' ><div class=\"flex_column av_one_fourth  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding first   \" style='border-radius:0px; '><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' ><div class='av-flex-placeholder'><\/div><div class=\"flex_column av_one_half  flex_column_table_cell av-equal-height-column av-align-top    \" style='background-color:#00a0e9; background:linear-gradient(to bottom right,#00a0e9,#25a98f); padding:10px; border-radius:0px; '><p><div style=' margin-top:-21px; margin-bottom:0px;'  class='hr hr-custom hr-center hr-icon-yes   '><span class='hr-inner   inner-border-av-border-thin' style=' width:0px;' ><span class='hr-inner-style'><\/span><\/span><span class='av-seperator-icon' style='color:#ffffff;' aria-hidden='true' data-av_icon='\ue883' data-av_iconfont='entypo-fontello'><\/span><span class='hr-inner   inner-border-av-border-thin' style=' width:0px;' ><span class='hr-inner-style'><\/span><\/span><\/div><br \/>\n<section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  av_inherit_color '  style='font-size:30px; color:#ffffff; '  itemprop=\"text\" ><h1 style=\"text-align: center;\">Drones and computer vision Team<\/h1>\n<\/div><\/section><\/p><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' ><div class='av-flex-placeholder'><\/div><div class=\"flex_column av_one_fourth  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding   \" style='border-radius:0px; '><\/div><\/div><!--close column table wrapper. Autoclose: 1 -->\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><\/div><div id='after_section_1' class='main_color av_default_container_wrap container_wrap sidebar_right' style=' '   style=' ' ><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4532'><div class='entry-content-wrapper clearfix'>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_2' class='avia-section main_color avia-section-large avia-no-border-styling avia-full-stretch av-section-color-overlay-active avia-bg-style-fixed    av-desktop-hide av-medium-hide container_wrap sidebar_right' style='background-repeat: no-repeat; background-image: url(https:\/\/pairlabs.ai\/wp-content\/uploads\/2020\/05\/wall005.jpg);background-attachment: fixed; background-position: bottom right;  '  data-section-bg-repeat='stretch' style='background-repeat: no-repeat; background-image: url(https:\/\/pairlabs.ai\/wp-content\/uploads\/2020\/05\/wall005.jpg);background-attachment: fixed; background-position: bottom right;  ' ><div class='av-section-color-overlay-wrap'><div class='av-section-color-overlay' style='opacity: 0.6; background-color: #ffffff; '><\/div><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4532'><div class='entry-content-wrapper clearfix'>\n<div class='flex_column_table av-equal-height-column-flextable -flextable' style='margin-top:0px; margin-bottom:-20px; '><div class=\"flex_column av_one_fourth  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding first   \" style='border-radius:0px; '><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' style='margin-top:0px; margin-bottom:-20px; '><div class='av-flex-placeholder'><\/div><div class=\"flex_column av_one_half  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding   \" style='border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '  style='font-size:20px; '  itemprop=\"text\" ><p style=\"text-align: center;\">Pervasive Artificial Intelligence Research (PAIR) Labs<\/p>\n<\/div><\/section><br \/>\n<div style='height:1px' class='hr hr-invisible   '><span class='hr-inner ' ><span class='hr-inner-style'><\/span><\/span><\/div><\/p><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' style='margin-top:0px; margin-bottom:-20px; '><div class='av-flex-placeholder'><\/div><div class=\"flex_column av_one_fourth  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding   \" style='border-radius:0px; '><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' ><div class=\"flex_column av_one_fourth  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding first   \" style='border-radius:0px; '><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' ><div class='av-flex-placeholder'><\/div><div class=\"flex_column av_one_half  flex_column_table_cell av-equal-height-column av-align-top    \" style='background-color:#00a0e9; background:linear-gradient(to bottom right,#00a0e9,#25a98f); padding:10px; border-radius:0px; '><p><div style=' margin-top:-21px; margin-bottom:0px;'  class='hr hr-custom hr-center hr-icon-yes   '><span class='hr-inner   inner-border-av-border-thin' style=' width:0px;' ><span class='hr-inner-style'><\/span><\/span><span class='av-seperator-icon' style='color:#ffffff;' aria-hidden='true' data-av_icon='\ue883' data-av_iconfont='entypo-fontello'><\/span><span class='hr-inner   inner-border-av-border-thin' style=' width:0px;' ><span class='hr-inner-style'><\/span><\/span><\/div><br \/>\n<section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  av_inherit_color '  style='font-size:30px; color:#ffffff; '  itemprop=\"text\" ><h2 style=\"text-align: center;\">Drones and computer vision Team<\/h2>\n<\/div><\/section><\/p><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' ><div class='av-flex-placeholder'><\/div><div class=\"flex_column av_one_fourth  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding   \" style='border-radius:0px; '><\/div><\/div><!--close column table wrapper. Autoclose: 1 -->\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><\/div><div id='after_section_2' class='main_color av_default_container_wrap container_wrap sidebar_right' style=' '   style=' ' ><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4532'><div class='entry-content-wrapper clearfix'>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_3' class='avia-section socket_color avia-section-default avia-no-border-styling avia-bg-style-scroll    av-arrow-down-section container_wrap sidebar_right' style=' '   style=' ' ><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4532'><div class='entry-content-wrapper clearfix'>\n<div style='padding-bottom:0px; margin:0 0 0 0; font-size:30px;' class='av-special-heading av-special-heading-h3  blockquote modern-quote modern-centered   av-inherit-size '><h3 class='av-special-heading-tag '  itemprop=\"headline\"  >Intelligent Communications and Networking Technologies for Drone-Cells<\/h3><div class='special-heading-border'><div class='special-heading-inner-border' ><\/div><\/div><\/div>\n<\/div><\/div><\/div><!-- close content main div --><\/div><div class='av-extra-border-element border-extra-arrow-down'><div class='av-extra-border-outer'><div class='av-extra-border-inner'  style='background-color:#333333;' ><\/div><\/div><\/div><\/div><div id='after_section_3' class='main_color av_default_container_wrap container_wrap sidebar_right' style=' '   style=' ' ><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4532'><div class='entry-content-wrapper clearfix'>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_4' class='avia-section main_color avia-section-default avia-no-border-styling avia-bg-style-scroll   container_wrap sidebar_right' style=' '   style=' ' ><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4532'><div class='entry-content-wrapper clearfix'>\n<div class=\"flex_column av_three_fifth  flex_column_div av-zero-column-padding first  \" style='border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '   itemprop=\"text\" ><h5><b>Principal Investigator:<\/b><a href=\"https:\/\/pairlabs.ai\/en\/portfolio-item\/professor-li-chun-wang-pi-en\/\">Professor Li-Chun Wang<\/a><\/h5>\n<p>&#8212;<\/p>\n<blockquote>\n<h5><b>Summary<\/b><\/h5>\n<\/blockquote>\n<p>Our project proposes an \u201cArtificial Intelligence (AI) Drone-Cruiser\u201d base station for helping 5G mobile communication systems rapidly recover the network after the disaster and handle the instant traffic of the flash crowd. The drone-cruiser base station can overcome the communications problem for three types of flash crowds, such as in stadiums, parades, and large plaza so that an appropriate number of aerial base stations can be precisely installed to meet the huge and dynamical traffic requirements. Artificial intelligence can solve such problems by analyzing the collected data, and then adjust the system parameters to achieve the goals of self-configuration, self-optimization, and self-healing under the framework of Self-Organizing Network (SON). With the help of AI technologies, the 5G network can become even more intelligent. This project is to provide a novel service, On-Demand Aerial Base Station as a Service, including the following three technical challenges: (1) rapid air-to-ground 3D wireless channel learning technology; (2) optimal 3d placement for aerial base stations; (3) big data analysis and AI technologies for the automatic UAV management; and (4) innovational design for the long-time hovering drone-cruiser. It is hoped that the outcome of this project can help open up another emerging opportunity for Flying Base Station (Flying Access Point) in the post-5G era for Taiwan\u2019s information and communications industry, following the success story of WiFi in Taiwan.<\/p>\n<blockquote>\n<h5><b>Keywords<\/b><\/h5>\n<\/blockquote>\n<p>Aerial Base Station, Drone-Cruiser, Artificial Intelligence, Self-Organizing Network, 3D Placement, Flying Access Point.<\/p>\n<blockquote>\n<h5><b>Innovations<\/b><\/h5>\n<\/blockquote>\n<ul>\n<li>We analyze the characteristics of the 3D air-to-ground wireless channel and design a new learning mechanism for UAV-BS to provide stable communication services.<\/li>\n<li>We propose a hybrid training framework for training an effective convolutional neural network to estimate the crowds and density of users in the sensed aerial photographs.<\/li>\n<li>With the consideration of the above estimation information, we design a fast 3d placement of aerial base stations for guaranteeing the allocated data rate of each served user.<\/li>\n<li>We integrate the latest LTE, WiGig, and mmWave technologies on the UAV for guaranteeing the backhaul connections while providing network services.<\/li>\n<li>We propose a deep Q-learning network for the autonomous landing and thus guarantee the safety of the flight.<\/li>\n<li>We design and develop a new type of UAV, Drone-Cruiser, to provide base station service with dynamic mobility for a long hovering time.<\/li>\n<\/ul>\n<blockquote>\n<h5><b>Benefits<\/b><\/h5>\n<\/blockquote>\n<ul>\n<li>We collect the real 3d wireless channel data and construction a 3D+radio dataset\/map to help the prediction of communication link quality.<\/li>\n<li>We develop a simulation platform to recommend the appropriate 3d placement configuration for improving the performance of UAV-assisted communications systems.<\/li>\n<li>We propose an on-demand UAV base station placement for guaranteeing the allocated data rate of each user. The proposed method also saves the power consumption of a UAV for communications by more than 28.9%.<\/li>\n<li>The new type of UAV, Drone-Cruiser, can be one of an important product for the UAV-assisted communications industry.<\/li>\n<\/ul>\n<\/div><\/section><\/div><div class=\"flex_column av_two_fifth  flex_column_div av-zero-column-padding   \" style='border-radius:0px; '><p><div class='avia-progress-bar-container  av-desktop-hide av-medium-hide av-small-hide av-mini-hide avia_animate_when_almost_visible   av-striped-bar av-animated-bar '><div class='avia-progress-bar theme-color-bar icon-bar-no'><div class='progressbar-title-wrap'><div class='progressbar-icon'><span class='progressbar-char' aria-hidden='true' data-av_icon='\ue856' data-av_iconfont='entypo-fontello'><\/span><\/div><div class='progressbar-title'>Type 1<\/div><\/div><div class='progress' ><div class='bar-outer'><div class='bar' style='width: 91%' data-progress='91'><\/div><\/div><\/div><\/div><div class='avia-progress-bar theme-color-bar icon-bar-no'><div class='progressbar-title-wrap'><div class='progressbar-icon'><span class='progressbar-char' aria-hidden='true' data-av_icon='\ue856' data-av_iconfont='entypo-fontello'><\/span><\/div><div class='progressbar-title'>Type 2<\/div><\/div><div class='progress' ><div class='bar-outer'><div class='bar' style='width: 86%' data-progress='86'><\/div><\/div><\/div><\/div><div class='avia-progress-bar theme-color-bar icon-bar-no'><div class='progressbar-title-wrap'><div class='progressbar-icon'><span class='progressbar-char' aria-hidden='true' data-av_icon='\ue856' data-av_iconfont='entypo-fontello'><\/span><\/div><div class='progressbar-title'>Type 3<\/div><\/div><div class='progress' ><div class='bar-outer'><div class='bar' style='width: 97%' data-progress='97'><\/div><\/div><\/div><\/div><div class='avia-progress-bar theme-color-bar icon-bar-no'><div class='progressbar-title-wrap'><div class='progressbar-icon'><span class='progressbar-char' aria-hidden='true' data-av_icon='\ue856' data-av_iconfont='entypo-fontello'><\/span><\/div><div class='progressbar-title'>Type 4<\/div><\/div><div class='progress' ><div class='bar-outer'><div class='bar' style='width: 85%' data-progress='85'><\/div><\/div><\/div><\/div><\/div><br \/>\n<div style='height:20px' class='hr hr-invisible   '><span class='hr-inner ' ><span class='hr-inner-style'><\/span><\/span><\/div><br \/>\n<div id='av-masonry-1' class='av-masonry  noHover av-fixed-size av-no-gap av-hover-overlay- av-masonry-animation-active av-masonry-col-2 av-caption-always av-caption-style- av-masonry-gallery   av-orientation-portrait   av-medium-columns-overwrite av-medium-columns-2 av-small-columns-overwrite av-small-columns-2 av-mini-columns-overwrite av-mini-columns-2'  ><div class='av-masonry-container isotope av-js-disabled ' ><div class='av-masonry-entry isotope-item av-masonry-item-no-image '><\/div><a href=\"https:\/\/pairlabs.ai\/wp-content\/uploads\/2020\/06\/\u738b\u849e\u541b-1-773x1030.jpg\" id='av-masonry-1-item-5146' data-av-masonry-item='5146' class='av-masonry-entry isotope-item post-5146 attachment type-attachment status-inherit hentry  av-masonry-item-with-image' title=\"\u738b\u849e\u541b\"  itemprop=\"thumbnailUrl\" ><div class='av-inner-masonry-sizer'><\/div><figure class='av-inner-masonry main_color'><div class=\"av-masonry-outerimage-container\"><div class=\"av-masonry-image-container\" style=\"background-image: url(https:\/\/pairlabs.ai\/wp-content\/uploads\/2020\/06\/\u738b\u849e\u541b-1-529x705.jpg);\" title=\"\u738b\u849e\u541b\" ><\/div><\/div><\/figure><\/a><!--end av-masonry entry--><\/div><\/div><\/p><\/div><\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='after_section_4' class='main_color av_default_container_wrap container_wrap sidebar_right' style=' '   style=' ' ><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4532'><div class='entry-content-wrapper clearfix'><\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_5' class='avia-section alternate_color avia-section-default avia-no-border-styling avia-bg-style-scroll    container_wrap sidebar_right' style=' '   style=' ' ><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4532'><div class='entry-content-wrapper clearfix'>\n<div class='flex_column_table av-equal-height-column-flextable -flextable' ><div class=\"flex_column av_two_fifth  flex_column_table_cell av-equal-height-column av-align-middle av-zero-column-padding first   \" style='border-radius:0px; '><div  data-autoplay='true'  data-interval='5'  data-animation='slide'  class='avia-logo-element-container av-border-deactivate avia-logo-slider avia-content-slider avia-smallarrow-slider avia-content-slider-active noHover avia-content-slider1 avia-content-slider-even   ' ><div class='avia-smallarrow-slider-heading  no-logo-slider-heading '><div class='new-special-heading'>&nbsp;<\/div><\/div><div class='avia-content-slider-inner'><div class='slide-entry-wrap' ><div  class='slide-entry flex_column no_margin post-entry slide-entry-overview slide-loop-1 slide-parity-odd  av_one_half first real-thumbnail'><span class='av-partner-fake-img' style='padding-bottom:51.111111111111%; background-image:url(https:\/\/pairlabs.ai\/wp-content\/uploads\/2015\/08\/pair_logo.png);'><\/span><\/div><div  class='slide-entry flex_column no_margin post-entry slide-entry-overview slide-loop-2 slide-parity-even  av_one_half  real-thumbnail'><span class='av-partner-fake-img' style='padding-bottom:51.111111111111%; background-image:url(https:\/\/pairlabs.ai\/wp-content\/uploads\/2015\/08\/pair_logo.png);'><\/span><\/div><\/div><div class='slide-entry-wrap' ><div  class='slide-entry flex_column no_margin post-entry slide-entry-overview slide-loop-3 slide-parity-odd  av_one_half first real-thumbnail'><span class='av-partner-fake-img' style='padding-bottom:51.111111111111%; background-image:url(https:\/\/pairlabs.ai\/wp-content\/uploads\/2015\/08\/pair_logo.png);'><\/span><\/div><div  class='slide-entry flex_column no_margin post-entry slide-entry-overview slide-loop-4 slide-parity-even  av_one_half  real-thumbnail'><span class='av-partner-fake-img' style='padding-bottom:51.111111111111%; background-image:url(https:\/\/pairlabs.ai\/wp-content\/uploads\/2015\/08\/pair_logo.png);'><\/span><\/div><\/div><div class='slide-entry-wrap' ><div  class='slide-entry flex_column no_margin post-entry slide-entry-overview slide-loop-5 slide-parity-odd  av_one_half first real-thumbnail'><span class='av-partner-fake-img' style='padding-bottom:51.111111111111%; background-image:url(https:\/\/pairlabs.ai\/wp-content\/uploads\/2015\/08\/pair_logo.png);'><\/span><\/div><div  class='slide-entry flex_column no_margin post-entry slide-entry-overview slide-loop-6 slide-parity-even  post-entry-last  av_one_half  real-thumbnail'><span class='av-partner-fake-img' style='padding-bottom:51.111111111111%; background-image:url(https:\/\/pairlabs.ai\/wp-content\/uploads\/2015\/08\/pair_logo.png);'><\/span><\/div><\/div><\/div><div class='avia-slideshow-dots avia-slideshow-controls'><a href='#1' class='goto-slide active' >1<\/a><a href='#2' class='goto-slide ' >2<\/a><a href='#3' class='goto-slide ' >3<\/a><\/div><\/div><\/div><\/div><!--close column table wrapper. Autoclose: 1 --><div class='flex_column_table av-equal-height-column-flextable -flextable' ><div class='av-flex-placeholder'><\/div><div class=\"flex_column av_three_fifth  flex_column_table_cell av-equal-height-column av-align-middle av-zero-column-padding   \" style='border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '   itemprop=\"text\" ><\/div><\/section><\/div><\/div><!--close column table wrapper. Autoclose: 1 -->\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='after_section_5' class='main_color av_default_container_wrap container_wrap sidebar_right' style=' '   style=' ' ><div class='container' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-4532'><div class='entry-content-wrapper clearfix'><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"featured_media":0,"comment_status":"closed","ping_status":"closed","template":"","tags":[],"class_list":["post-4532","portfolio","type-portfolio","status-publish","hentry","portfolio_entries--en"],"_links":{"self":[{"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/portfolio\/4532","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/portfolio"}],"about":[{"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/types\/portfolio"}],"replies":[{"embeddable":true,"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/comments?post=4532"}],"wp:attachment":[{"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/media?parent=4532"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pairlabs.ai\/en\/wp-json\/wp\/v2\/tags?post=4532"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}