�ݺ�ߣshows by User: charlet

�ݺ�ߣshows by User: charlet_jeremie / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: charlet_jeremie / Wed, 31 Jul 2019 09:35:32 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: charlet_jeremie Do we know our data, as good as we know our tools /slideshow/do-we-know-our-data-as-good-as-we-know-our-tools/159374752 doweknowourdataasgoodasweknowourtools-190731093532
For many of us who are developer turning data scientist, we are always concerned about how to build a model, train it, etc... And yes, we want the best accuracy (close to 99%). But as every seasoned data scientist will always advise us, we need first and foremost to understand our data, ensure it’s clean and prepared before doing any training on it. During the conference, we will explore multiple problems occurring during data analysis or preparation and for each a technique to solve them (from a list of them). You will go away with a number of resources to explore at your own pace. We will cover these categories of problems: dirty data disparate datasets - needing normalisation too much information to process and others… We will cover some of these techniques: analysis - detecting misleading data, outliers, specific time series issues cleaning - deal with missing/ambiguous values, outliers, generating synthetic data, resampling preparation - using statistical and physics functions, dimensionality reduction, feature selection, resampling And using different kinds of plots relevant at different stages.]]>
For many of us who are developer turning data scientist, we are always concerned about how to build a model, train it, etc... And yes, we want the best accuracy (close to 99%). But as every seasoned data scientist will always advise us, we need first and foremost to understand our data, ensure it’s clean and prepared before doing any training on it. During the conference, we will explore multiple problems occurring during data analysis or preparation and for each a technique to solve them (from a list of them). You will go away with a number of resources to explore at your own pace. We will cover these categories of problems: dirty data disparate datasets - needing normalisation too much information to process and others… We will cover some of these techniques: analysis - detecting misleading data, outliers, specific time series issues cleaning - deal with missing/ambiguous values, outliers, generating synthetic data, resampling preparation - using statistical and physics functions, dimensionality reduction, feature selection, resampling And using different kinds of plots relevant at different stages.]]> Wed, 31 Jul 2019 09:35:32 GMT /slideshow/do-we-know-our-data-as-good-as-we-know-our-tools/159374752 charlet_jeremie@slideshare.net(charlet_jeremie) Do we know our data, as good as we know our tools charlet_jeremie For many of us who are developer turning data scientist, we are always concerned about how to build a model, train it, etc... And yes, we want the best accuracy (close to 99%). But as every seasoned data scientist will always advise us, we need first and foremost to understand our data, ensure it’s clean and prepared before doing any training on it. During the conference, we will explore multiple problems occurring during data analysis or preparation and for each a technique to solve them (from a list of them). You will go away with a number of resources to explore at your own pace. We will cover these categories of problems: dirty data disparate datasets - needing normalisation too much information to process and others… We will cover some of these techniques: analysis - detecting misleading data, outliers, specific time series issues cleaning - deal with missing/ambiguous values, outliers, generating synthetic data, resampling preparation - using statistical and physics functions, dimensionality reduction, feature selection, resampling And using different kinds of plots relevant at different stages. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/doweknowourdataasgoodasweknowourtools-190731093532-thumbnail.jpg?width=120&height=120&fit=bounds" /> For many of us who are developer turning data scientist, we are always concerned about how to build a model, train it, etc... And yes, we want the best accuracy (close to 99%). But as every seasoned data scientist will always advise us, we need first and foremost to understand our data, ensure it’s clean and prepared before doing any training on it. During the conference, we will explore multiple problems occurring during data analysis or preparation and for each a technique to solve them (from a list of them). You will go away with a number of resources to explore at your own pace. We will cover these categories of problems: dirty data disparate datasets - needing normalisation too much information to process and others… We will cover some of these techniques: analysis - detecting misleading data, outliers, specific time series issues cleaning - deal with missing/ambiguous values, outliers, generating synthetic data, resampling preparation - using statistical and physics functions, dimensionality reduction, feature selection, resampling And using different kinds of plots relevant at different stages.

Do we know our data, as good as we know our tools from Jeremie Charlet

]]> 94 2 https://cdn.slidesharecdn.com/ss_thumbnails/doweknowourdataasgoodasweknowourtools-190731093532-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Machine learning study group 17 4 2019 /slideshow/machine-learning-study-group-17-4-2019/159374731 machinelearningstudygroup1742019-190731093522
#### Talk 2: what we learn from our study group on ML Speakers: your dear study group hosts Dave Snowdon (Software engineer at G-Research, ex VMware) and Jeremie Charlet (CTO at Trackener) While working on the Kaggle project on sentiment analysis of IMDB reviews for several months, we have been trying multiple vectorization techniques (bag of word, tfidf), running multiple models (from Random Forest to CNN and RNN), read many articles and research papers, compared the results and, most above all, learned a great amount. We will showcase here our work and share our learnings.]]>
#### Talk 2: what we learn from our study group on ML Speakers: your dear study group hosts Dave Snowdon (Software engineer at G-Research, ex VMware) and Jeremie Charlet (CTO at Trackener) While working on the Kaggle project on sentiment analysis of IMDB reviews for several months, we have been trying multiple vectorization techniques (bag of word, tfidf), running multiple models (from Random Forest to CNN and RNN), read many articles and research papers, compared the results and, most above all, learned a great amount. We will showcase here our work and share our learnings.]]> Wed, 31 Jul 2019 09:35:22 GMT /slideshow/machine-learning-study-group-17-4-2019/159374731 charlet_jeremie@slideshare.net(charlet_jeremie) Machine learning study group 17 4 2019 charlet_jeremie #### Talk 2: what we learn from our study group on ML Speakers: your dear study group hosts Dave Snowdon (Software engineer at G-Research, ex VMware) and Jeremie Charlet (CTO at Trackener) While working on the Kaggle project on sentiment analysis of IMDB reviews for several months, we have been trying multiple vectorization techniques (bag of word, tfidf), running multiple models (from Random Forest to CNN and RNN), read many articles and research papers, compared the results and, most above all, learned a great amount. We will showcase here our work and share our learnings. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/machinelearningstudygroup1742019-190731093522-thumbnail.jpg?width=120&height=120&fit=bounds" /> #### Talk 2: what we learn from our study group on ML Speakers: your dear study group hosts Dave Snowdon (Software engineer at G-Research, ex VMware) and Jeremie Charlet (CTO at Trackener) While working on the Kaggle project on sentiment analysis of IMDB reviews for several months, we have been trying multiple vectorization techniques (bag of word, tfidf), running multiple models (from Random Forest to CNN and RNN), read many articles and research papers, compared the results and, most above all, learned a great amount. We will showcase here our work and share our learnings.

Machine learning study group 17 4 2019 from Jeremie Charlet

]]> 85 2 https://cdn.slidesharecdn.com/ss_thumbnails/machinelearningstudygroup1742019-190731093522-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 TNA taxonomies 20160525 /slideshow/tna-taxonomies-20160525/65553274 ivonstsrrhcvxp7jndcy-signature-d964be4414828ba51a60cd9f3d21243412133b95e4c0f9eeffcf65139378736e-poli-160831142112
Presentation of Taxonomy applications ]]>
Presentation of Taxonomy applications ]]> Wed, 31 Aug 2016 14:21:12 GMT /slideshow/tna-taxonomies-20160525/65553274 charlet_jeremie@slideshare.net(charlet_jeremie) TNA taxonomies 20160525 charlet_jeremie Presentation of Taxonomy applications <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ivonstsrrhcvxp7jndcy-signature-d964be4414828ba51a60cd9f3d21243412133b95e4c0f9eeffcf65139378736e-poli-160831142112-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation of Taxonomy applications

TNA taxonomies 20160525 from Jeremie Charlet

]]> 278 2 https://cdn.slidesharecdn.com/ss_thumbnails/ivonstsrrhcvxp7jndcy-signature-d964be4414828ba51a60cd9f3d21243412133b95e4c0f9eeffcf65139378736e-poli-160831142112-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Tna Discovery Portal /slideshow/tna-discovery-portal/54267092 tnadiscovery20151016en-151022151917-lva1-app6891
Presentation to the french Archives about why we built the portal Discovery for the UK National Archives, what it offers, and how we built it]]>
Presentation to the french Archives about why we built the portal Discovery for the UK National Archives, what it offers, and how we built it]]> Thu, 22 Oct 2015 15:19:17 GMT /slideshow/tna-discovery-portal/54267092 charlet_jeremie@slideshare.net(charlet_jeremie) Tna Discovery Portal charlet_jeremie Presentation to the french Archives about why we built the portal Discovery for the UK National Archives, what it offers, and how we built it <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tnadiscovery20151016en-151022151917-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation to the french Archives about why we built the portal Discovery for the UK National Archives, what it offers, and how we built it

Tna Discovery Portal from Jeremie Charlet

]]> 402 7 https://cdn.slidesharecdn.com/ss_thumbnails/tnadiscovery20151016en-151022151917-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 TNA Portail Discovery https://fr.slideshare.net/slideshow/tna-portail-discovery/54267026 tnadiscovery20151016fr-151022151754-lva1-app6891
Présentation aux archives de France sur pourquoi nous avons construit le portail Discovery des Archives Nationales du Royaume Uni, ce qu'il offre, et comment nous l'avons construit.]]>
Présentation aux archives de France sur pourquoi nous avons construit le portail Discovery des Archives Nationales du Royaume Uni, ce qu'il offre, et comment nous l'avons construit.]]> Thu, 22 Oct 2015 15:17:54 GMT https://fr.slideshare.net/slideshow/tna-portail-discovery/54267026 charlet_jeremie@slideshare.net(charlet_jeremie) TNA Portail Discovery charlet_jeremie Présentation aux archives de France sur pourquoi nous avons construit le portail Discovery des Archives Nationales du Royaume Uni, ce qu'il offre, et comment nous l'avons construit. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tnadiscovery20151016fr-151022151754-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /> Présentation aux archives de France sur pourquoi nous avons construit le portail Discovery des Archives Nationales du Royaume Uni, ce qu'il offre, et comment nous l'avons construit.

from Jeremie Charlet

]]> 427 89 https://cdn.slidesharecdn.com/ss_thumbnails/tnadiscovery20151016fr-151022151754-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Tna how taxonomy applications were built /slideshow/tna-how-taxonomy-applications-were-built/54252085 tnahowtaxonomywasbuilt-151022090426-lva1-app6892
Presentation on how we built Taxonomy applications and some learnings]]>
Presentation on how we built Taxonomy applications and some learnings]]> Thu, 22 Oct 2015 09:04:26 GMT /slideshow/tna-how-taxonomy-applications-were-built/54252085 charlet_jeremie@slideshare.net(charlet_jeremie) Tna how taxonomy applications were built charlet_jeremie Presentation on how we built Taxonomy applications and some learnings <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tnahowtaxonomywasbuilt-151022090426-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation on how we built Taxonomy applications and some learnings

Tna how taxonomy applications were built from Jeremie Charlet

]]> 243 4 https://cdn.slidesharecdn.com/ss_thumbnails/tnahowtaxonomywasbuilt-151022090426-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 TNA Introduction to taxonomy applications /slideshow/tna-introduction-to-taxonomy-applications/54252061 tnaintrototaxonomy-applications-151022090325-lva1-app6892
Introduction to the project Taxonomy, what it covers, what was built, how it works]]>
Introduction to the project Taxonomy, what it covers, what was built, how it works]]> Thu, 22 Oct 2015 09:03:25 GMT /slideshow/tna-introduction-to-taxonomy-applications/54252061 charlet_jeremie@slideshare.net(charlet_jeremie) TNA Introduction to taxonomy applications charlet_jeremie Introduction to the project Taxonomy, what it covers, what was built, how it works <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tnaintrototaxonomy-applications-151022090325-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds" /> Introduction to the project Taxonomy, what it covers, what was built, how it works

TNA Introduction to taxonomy applications from Jeremie Charlet

]]> 375 4 https://cdn.slidesharecdn.com/ss_thumbnails/tnaintrototaxonomy-applications-151022090325-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Introduction to Shell Scripting /slideshow/tna-introduction-to-shell-scripting/54252032 tnaintrotoshellscripting-151022090230-lva1-app6891
quick introduction to the C# team to linux shell scripting and to the benefits of using it]]>
quick introduction to the C# team to linux shell scripting and to the benefits of using it]]> Thu, 22 Oct 2015 09:02:30 GMT /slideshow/tna-introduction-to-shell-scripting/54252032 charlet_jeremie@slideshare.net(charlet_jeremie) Introduction to Shell Scripting charlet_jeremie quick introduction to the C# team to linux shell scripting and to the benefits of using it <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tnaintrotoshellscripting-151022090230-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /> quick introduction to the C# team to linux shell scripting and to the benefits of using it

Introduction to Shell Scripting from Jeremie Charlet

]]> 208 4 https://cdn.slidesharecdn.com/ss_thumbnails/tnaintrotoshellscripting-151022090230-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Actors with akka /charlet_jeremie/tna-actors-withakka tnaactorswithakka-151022085720-lva1-app6891
about how we used the Scala Akka framework at the National Archives on our projects]]>
about how we used the Scala Akka framework at the National Archives on our projects]]> Thu, 22 Oct 2015 08:57:20 GMT /charlet_jeremie/tna-actors-withakka charlet_jeremie@slideshare.net(charlet_jeremie) Actors with akka charlet_jeremie about how we used the Scala Akka framework at the National Archives on our projects <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tnaactorswithakka-151022085720-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /> about how we used the Scala Akka framework at the National Archives on our projects

Actors with akka from Jeremie Charlet

]]> 409 9 https://cdn.slidesharecdn.com/ss_thumbnails/tnaactorswithakka-151022085720-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Bibliography & Appendixes Can new web technologies HTML5 & CSS3 kill Flash? Dissertation by Jeremie Charlet, 12/2010 /slideshow/bibliography-appendixes-can-new-web-technologies-html5-css3-kill-flash-dissertation-by-jeremie-charlet-122010/12790081 charletjeremiecanhtml5killflashbiblioappendixes-120503140145-phpapp02
Dissertation on HTML5, CSS3 and Adobe Flash performed from July to December 2010 while doing an MSc in Computer Science at Staffordshire University, England this pdf includes the bibliography and appendixes missing in the main report available here: http://www.slideshare.net/charlet_jeremie/can-html5-css3-kill-flash/]]>
Dissertation on HTML5, CSS3 and Adobe Flash performed from July to December 2010 while doing an MSc in Computer Science at Staffordshire University, England this pdf includes the bibliography and appendixes missing in the main report available here: http://www.slideshare.net/charlet_jeremie/can-html5-css3-kill-flash/]]> Thu, 03 May 2012 14:01:41 GMT /slideshow/bibliography-appendixes-can-new-web-technologies-html5-css3-kill-flash-dissertation-by-jeremie-charlet-122010/12790081 charlet_jeremie@slideshare.net(charlet_jeremie) Bibliography & Appendixes Can new web technologies HTML5 & CSS3 kill Flash? Dissertation by Jeremie Charlet, 12/2010 charlet_jeremie Dissertation on HTML5, CSS3 and Adobe Flash performed from July to December 2010 while doing an MSc in Computer Science at Staffordshire University, England this pdf includes the bibliography and appendixes missing in the main report available here: http://www.slideshare.net/charlet_jeremie/can-html5-css3-kill-flash/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/charletjeremiecanhtml5killflashbiblioappendixes-120503140145-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Dissertation on HTML5, CSS3 and Adobe Flash performed from July to December 2010 while doing an MSc in Computer Science at Staffordshire University, England this pdf includes the bibliography and appendixes missing in the main report available here: http://www.slideshare.net/charlet_jeremie/can-html5-css3-kill-flash/

Bibliography & Appendixes Can new web technologies HTML5 & CSS3 kill Flash? Dissertation by Jeremie Charlet, 12/2010 from Jeremie Charlet

]]> 1318 5 https://cdn.slidesharecdn.com/ss_thumbnails/charletjeremiecanhtml5killflashbiblioappendixes-120503140145-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds document White http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Can new web technologies HTML5 & CSS3 kill Flash? Dissertation by Jeremie Charlet, 12/2010 /slideshow/can-html5-css3-kill-flash/12790050 charletjeremiecanhtml5killflash-doc-120503135905-phpapp02
Dissertation on HTML5, CSS3 and Adobe Flash performed from July to December 2010 while doing an MSc in Computer Science at Staffordshire University, England Abstract: This dissertation investigates the new web technologies Hypertext Mark-up Language 5 (HTML5) and Cascading Style Sheet 3 (CSS3) that are still in development and aims at establishing whether they are able to replace Adobe Flash. The objectives are first to investigate what are the graphic capabilities of the three mentioned technologies. Then it is intended to learn and practice them to finally implement identical animations in HTML5, CSS3 and Flash and compare their performances. From that study a set of guidelines sets what technical solutions are best to be used. The research first concentrates on the HTML5 and CSS3 technologies, then on Flash. On both of them, their availability is determined; many samples of web applications or websites are organized in a set of categories and are analysed; and their strengths are presented. A concluding chapter to this research compares HTML5, CSS3 and Flash and states, according to the literature, what are their potential future and impact. The artefact consists of an HTML5 and CSS3 website and of two sets of animations built in HTML5, CSS3 and Flash. The website was created to learn and practice the technologies covered while the animations served the benchmarking stages. The first set of implementation and benchmarking involved a simple animation of a solar system involving two planets; the second set involved an enhanced version of this animation with forty planets to push the rendering engines of the web browsers to their limits. The aim was to define whether those animations were quick to load, their rendering smooth and their processing low consuming to save battery life of mobile devices; hence they were benchmarked on their load time, their frame rate and their Memory and Central Processing Unit (CPU) usages. The study shows that HTML5 and CSS3 are at the moment not mature enough to be globally used in businesses but still have the potential to replace Flash in animation, video and web applications that do not involve high interactivity in a very close future. The solution shows that animations can already be made in HTML5 and CSS3; however the testing confirms the current superiority of Flash in terms of performances. Bibliography and appendixes available here: http://www.slideshare.net/charlet_jeremie/bibliography-appendixes-can-new-web-technologies-html5-css3-kill-flash-dissertation-by-jeremie-charlet-122010 If you would like to make any remark or ask me any question, you can contact me at: charlet.jeremie (at) gmail.com]]>
Dissertation on HTML5, CSS3 and Adobe Flash performed from July to December 2010 while doing an MSc in Computer Science at Staffordshire University, England Abstract: This dissertation investigates the new web technologies Hypertext Mark-up Language 5 (HTML5) and Cascading Style Sheet 3 (CSS3) that are still in development and aims at establishing whether they are able to replace Adobe Flash. The objectives are first to investigate what are the graphic capabilities of the three mentioned technologies. Then it is intended to learn and practice them to finally implement identical animations in HTML5, CSS3 and Flash and compare their performances. From that study a set of guidelines sets what technical solutions are best to be used. The research first concentrates on the HTML5 and CSS3 technologies, then on Flash. On both of them, their availability is determined; many samples of web applications or websites are organized in a set of categories and are analysed; and their strengths are presented. A concluding chapter to this research compares HTML5, CSS3 and Flash and states, according to the literature, what are their potential future and impact. The artefact consists of an HTML5 and CSS3 website and of two sets of animations built in HTML5, CSS3 and Flash. The website was created to learn and practice the technologies covered while the animations served the benchmarking stages. The first set of implementation and benchmarking involved a simple animation of a solar system involving two planets; the second set involved an enhanced version of this animation with forty planets to push the rendering engines of the web browsers to their limits. The aim was to define whether those animations were quick to load, their rendering smooth and their processing low consuming to save battery life of mobile devices; hence they were benchmarked on their load time, their frame rate and their Memory and Central Processing Unit (CPU) usages. The study shows that HTML5 and CSS3 are at the moment not mature enough to be globally used in businesses but still have the potential to replace Flash in animation, video and web applications that do not involve high interactivity in a very close future. The solution shows that animations can already be made in HTML5 and CSS3; however the testing confirms the current superiority of Flash in terms of performances. Bibliography and appendixes available here: http://www.slideshare.net/charlet_jeremie/bibliography-appendixes-can-new-web-technologies-html5-css3-kill-flash-dissertation-by-jeremie-charlet-122010 If you would like to make any remark or ask me any question, you can contact me at: charlet.jeremie (at) gmail.com]]> Thu, 03 May 2012 13:59:04 GMT /slideshow/can-html5-css3-kill-flash/12790050 charlet_jeremie@slideshare.net(charlet_jeremie) Can new web technologies HTML5 & CSS3 kill Flash? Dissertation by Jeremie Charlet, 12/2010 charlet_jeremie Dissertation on HTML5, CSS3 and Adobe Flash performed from July to December 2010 while doing an MSc in Computer Science at Staffordshire University, England Abstract: This dissertation investigates the new web technologies Hypertext Mark-up Language 5 (HTML5) and Cascading Style Sheet 3 (CSS3) that are still in development and aims at establishing whether they are able to replace Adobe Flash. The objectives are first to investigate what are the graphic capabilities of the three mentioned technologies. Then it is intended to learn and practice them to finally implement identical animations in HTML5, CSS3 and Flash and compare their performances. From that study a set of guidelines sets what technical solutions are best to be used. The research first concentrates on the HTML5 and CSS3 technologies, then on Flash. On both of them, their availability is determined; many samples of web applications or websites are organized in a set of categories and are analysed; and their strengths are presented. A concluding chapter to this research compares HTML5, CSS3 and Flash and states, according to the literature, what are their potential future and impact. The artefact consists of an HTML5 and CSS3 website and of two sets of animations built in HTML5, CSS3 and Flash. The website was created to learn and practice the technologies covered while the animations served the benchmarking stages. The first set of implementation and benchmarking involved a simple animation of a solar system involving two planets; the second set involved an enhanced version of this animation with forty planets to push the rendering engines of the web browsers to their limits. The aim was to define whether those animations were quick to load, their rendering smooth and their processing low consuming to save battery life of mobile devices; hence they were benchmarked on their load time, their frame rate and their Memory and Central Processing Unit (CPU) usages. The study shows that HTML5 and CSS3 are at the moment not mature enough to be globally used in businesses but still have the potential to replace Flash in animation, video and web applications that do not involve high interactivity in a very close future. The solution shows that animations can already be made in HTML5 and CSS3; however the testing confirms the current superiority of Flash in terms of performances. Bibliography and appendixes available here: http://www.slideshare.net/charlet_jeremie/bibliography-appendixes-can-new-web-technologies-html5-css3-kill-flash-dissertation-by-jeremie-charlet-122010 If you would like to make any remark or ask me any question, you can contact me at: charlet.jeremie (at) gmail.com <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/charletjeremiecanhtml5killflash-doc-120503135905-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Dissertation on HTML5, CSS3 and Adobe Flash performed from July to December 2010 while doing an MSc in Computer Science at Staffordshire University, England Abstract: This dissertation investigates the new web technologies Hypertext Mark-up Language 5 (HTML5) and Cascading Style Sheet 3 (CSS3) that are still in development and aims at establishing whether they are able to replace Adobe Flash. The objectives are first to investigate what are the graphic capabilities of the three mentioned technologies. Then it is intended to learn and practice them to finally implement identical animations in HTML5, CSS3 and Flash and compare their performances. From that study a set of guidelines sets what technical solutions are best to be used. The research first concentrates on the HTML5 and CSS3 technologies, then on Flash. On both of them, their availability is determined; many samples of web applications or websites are organized in a set of categories and are analysed; and their strengths are presented. A concluding chapter to this research compares HTML5, CSS3 and Flash and states, according to the literature, what are their potential future and impact. The artefact consists of an HTML5 and CSS3 website and of two sets of animations built in HTML5, CSS3 and Flash. The website was created to learn and practice the technologies covered while the animations served the benchmarking stages. The first set of implementation and benchmarking involved a simple animation of a solar system involving two planets; the second set involved an enhanced version of this animation with forty planets to push the rendering engines of the web browsers to their limits. The aim was to define whether those animations were quick to load, their rendering smooth and their processing low consuming to save battery life of mobile devices; hence they were benchmarked on their load time, their frame rate and their Memory and Central Processing Unit (CPU) usages. The study shows that HTML5 and CSS3 are at the moment not mature enough to be globally used in businesses but still have the potential to replace Flash in animation, video and web applications that do not involve high interactivity in a very close future. The solution shows that animations can already be made in HTML5 and CSS3; however the testing confirms the current superiority of Flash in terms of performances. Bibliography and appendixes available here: http://www.slideshare.net/charlet_jeremie/bibliography-appendixes-can-new-web-technologies-html5-css3-kill-flash-dissertation-by-jeremie-charlet-122010 If you would like to make any remark or ask me any question, you can contact me at: charlet.jeremie (at) gmail.com

Can new web technologies HTML5 & CSS3 kill Flash? Dissertation by Jeremie Charlet, 12/2010 from Jeremie Charlet

]]> 7544 27 https://cdn.slidesharecdn.com/ss_thumbnails/charletjeremiecanhtml5killflash-doc-120503135905-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds document White http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 https://cdn.slidesharecdn.com/profile-photo-charlet_jeremie-48x48.jpg?cb=1710415082 I am the CTO and co-founder of Trackener. Polyglot developer, with a thrill for learning new technologies and project management methodologies, craving to solve technical challenges and make my users' life easier! Background: I previously worked for 2 years at the National Archives on fantastic projects and 4 years in Worldline by Atos for French major accounts (Orange telecom company and BPCE banking group). My responsibilities always spanned the complete project operational life cycle: from writing specification documents to production support. https://cdn.slidesharecdn.com/ss_thumbnails/doweknowourdataasgoodasweknowourtools-190731093532-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/do-we-know-our-data-as-good-as-we-know-our-tools/159374752 Do we know our data, a... https://cdn.slidesharecdn.com/ss_thumbnails/machinelearningstudygroup1742019-190731093522-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/machine-learning-study-group-17-4-2019/159374731 Machine learning study... https://cdn.slidesharecdn.com/ss_thumbnails/ivonstsrrhcvxp7jndcy-signature-d964be4414828ba51a60cd9f3d21243412133b95e4c0f9eeffcf65139378736e-poli-160831142112-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/tna-taxonomies-20160525/65553274 TNA taxonomies 20160525