Here is a presentation given to the programmers at Insomniac Games on July 6, 2007. It covers two related topics. First we consider a case study of an optimization to NPC AI used on Resistance: Fall of Man. Then we discuss a broader proposal for a game-play architecture that supports and encourages higher performance code compared to the common game-object driven main loop.
The presentation is also available on Insomniac\'s public R&D website:
http://www.insomniacgames.com/tech/techpage.php
Minimization of Shrinkage Porosity in A Sand Casting Process By Simulation I...IJMER
There is an increasing demand in manufacturing environment for the best quality of casting
products at the right time and quantity. In order to survive in the competitive market and to achieve
customer satisfaction trial-and-error method to produce defect free casting products from design to
manufacturing is too costly and not effective [1]. Modernization is the only key to improve casting quality
and productivity. This paper discusses the simulation process of casting solidification with the AutoCAST-X
software of a intricate shape small size casting of LM6 (Al alloy) metal. With the help of simulation study
hot spot in the casting has been identified. This has immensely helped in locating the optimum position and
size of the feeder required. This paper also shows the application of feeding aids as exothermic sleeve. The
simulation study has shown the improvement in feeding yield and quality of the casting.
Here is a presentation given to the programmers at Insomniac Games on July 6, 2007. It covers two related topics. First we consider a case study of an optimization to NPC AI used on Resistance: Fall of Man. Then we discuss a broader proposal for a game-play architecture that supports and encourages higher performance code compared to the common game-object driven main loop.
The presentation is also available on Insomniac\'s public R&D website:
http://www.insomniacgames.com/tech/techpage.php
Minimization of Shrinkage Porosity in A Sand Casting Process By Simulation I...IJMER
There is an increasing demand in manufacturing environment for the best quality of casting
products at the right time and quantity. In order to survive in the competitive market and to achieve
customer satisfaction trial-and-error method to produce defect free casting products from design to
manufacturing is too costly and not effective [1]. Modernization is the only key to improve casting quality
and productivity. This paper discusses the simulation process of casting solidification with the AutoCAST-X
software of a intricate shape small size casting of LM6 (Al alloy) metal. With the help of simulation study
hot spot in the casting has been identified. This has immensely helped in locating the optimum position and
size of the feeder required. This paper also shows the application of feeding aids as exothermic sleeve. The
simulation study has shown the improvement in feeding yield and quality of the casting.
Distributed high-quality image manipulation and review in a virtual collabora...ETCenter
Taking advantage of centralized processing and storage, new dispersed workflows are now possible. Colorfront's cloud initiative enables virtual world wide collaboration for high end motion picture and television production.
Digitization Basics for Archives and Special Collections – Part 1: Select and...WiLS
Josh Hickman, Digital Resources Librarian, Beloit College
This is the first part of a two-part, full-day workshop introducing the core elements of creating digital collections of historic photographs, documents and other archival materials. Part 1 focuses on selecting materials to digitize and the basics of reformatting. We’ll start with some recommendations for planning a successful project and consider how your digital collections can fit into the statewide and national landscape of digital content. We’ll discuss copyright concerns in order to help you answer the question “CAN I put this online?” And we’ll explore the vocabulary of digital images, including pixels, resolution and bit depth as well as tools and best practices for scanning photographs and documents.
Future Technology Center is a Project owned and operated by Lootah Information Technology Solutions. During my work with them as Executive Consultant I’ve managed to develop the concept of The Visualization Technology Center which is the heart of Lootah FTC Project. The project delivers a superior Visualization Technology to be used in many industrial fields.
Use Variable Rate Shading (VRS) to Improve the User Experience in Real-Time G...Intel® Software
Variable-rate shading (VRS) is a new feature of Microsoft DirectX* 12 and is supported on the 11th generation of Intel® graphics hardware. Get an overview and learn best practices, recommendations, and how to modify traditional 3D effects to take advantage of VRS.
Webinar - DataStax Enterprise 5.1: 3X the operational analytics speed, help f...DataStax
Let’s get up close with the latest and greatest in DataStax Enterprise. Find out everything you need to know about the latest features, as we dive into the launch of DataStax Enterprise 5.1, OpsCenter 6.1 and Studio 2.0.
View recording: https://youtu.be/Vhu6ZkQUR0M
Explore all DataStax webinars: http://www.datastax.com/resources/webinars
CorelDRAW Technical Suite - Why to Choose & From Where to BuyRajeev MALHOTRA
Expand what’s possible in visual communication with CorelDRAW Technical Suite, a comprehensive collection of applications for high-impact technical design and documentation.
Photographic Film and Slide Scanning Alternativesmdruziak
This is an overview of the options available for digitizing photographic film and slides. It covers scanning 35mm and 120 format film and slides. This presentation also compares scanning yourself vs using a lab. Detailed information on Plustek's new OpticFilm 120 film scanner is also included.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2022/09/comparing-ml-based-audio-with-ml-based-vision-an-introduction-to-ml-audio-for-ml-vision-engineers-a-presentation-from-dsp-concepts/
Josh Morris, Engineering Manager at DSP Concepts, presents the “Comparing ML-Based Audio with ML-Based Vision: An Introduction to ML Audio for ML Vision Engineers” tutorial at the May 2022 Embedded Vision Summit.
As embedded processors become more powerful, our ability to implement complex machine learning solutions at the edge is growing. Vision has led the way, solving problems as far-reaching as facial recognition and autonomous navigation. Now, ML audio is starting to appear in more and more edge applications, for example in the form of voice assistants, voice user interfaces and voice communication systems.
Although audio data is quite different from video and image data, ML audio solutions often use many of the same techniques initially developed for video and images. In this talk, Morris introduces the ML techniques commonly used for audio at the edge, and compares and contrasts them with those commonly used for vision. You’ll get inspired to integrate ML-based audio into your next solution.
Adding more visuals without affecting performanceSt1X
Smallest viable set of performance optimizations recommendations for game artists. This presentation targets artist that have little knowledge about computer hardware capabilities and limitations.
For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/synopsys/embedded-vision-training/videos/pages/may-2014-embedded-vision-summit
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Bruno Lavigueur, Embedded Vision Subsystem Project Leader at Synopsys, presents the "Combining Flexibility and Low-Power in Embedded Vision Subsystems: An Application to Pedestrian Detection" tutorial at the May 2014 Embedded Vision Summit.
Lavigueur presents an embedded-mapping and refinement case study of a pedestrian detection application. Starting from a high-level functional description in OpenCV, he decomposes and maps the application onto a heterogeneous parallel platform consisting of a high-performance control processor and application-specific instruction-set processors (ASIPs). This application makes use of the HOG (Histogram of Oriented Gradients) algorithm.
Lavigueur reviews the computation requirements of the different kernels of the HOG algorithm, and presents possible mapping options onto the control processor and ASIPs. He also presents an OpenCV-to-ASIP software refinement methodology and supporting tools. He presents detailed results of the final configuration consisting of one control processor and four ASIPs, including cost and power figures. Finally, he summarizes the results on an FPGA-based rapid prototyping platform.
Zoom Rooms Kit from Video Conference Gear featuring the AVer CAM540 and Nurev...VideoConferenceGear.com
Zoom Rooms Kit from Video Conference Gear featuring the AVer CAM540 and Nureva HDL300 including the Dell Optiplex, table console with Apple iPad Mini, cables, connectors, and mounts.
Distributed high-quality image manipulation and review in a virtual collabora...ETCenter
Taking advantage of centralized processing and storage, new dispersed workflows are now possible. Colorfront's cloud initiative enables virtual world wide collaboration for high end motion picture and television production.
Digitization Basics for Archives and Special Collections – Part 1: Select and...WiLS
Josh Hickman, Digital Resources Librarian, Beloit College
This is the first part of a two-part, full-day workshop introducing the core elements of creating digital collections of historic photographs, documents and other archival materials. Part 1 focuses on selecting materials to digitize and the basics of reformatting. We’ll start with some recommendations for planning a successful project and consider how your digital collections can fit into the statewide and national landscape of digital content. We’ll discuss copyright concerns in order to help you answer the question “CAN I put this online?” And we’ll explore the vocabulary of digital images, including pixels, resolution and bit depth as well as tools and best practices for scanning photographs and documents.
Future Technology Center is a Project owned and operated by Lootah Information Technology Solutions. During my work with them as Executive Consultant I’ve managed to develop the concept of The Visualization Technology Center which is the heart of Lootah FTC Project. The project delivers a superior Visualization Technology to be used in many industrial fields.
Use Variable Rate Shading (VRS) to Improve the User Experience in Real-Time G...Intel® Software
Variable-rate shading (VRS) is a new feature of Microsoft DirectX* 12 and is supported on the 11th generation of Intel® graphics hardware. Get an overview and learn best practices, recommendations, and how to modify traditional 3D effects to take advantage of VRS.
Webinar - DataStax Enterprise 5.1: 3X the operational analytics speed, help f...DataStax
Let’s get up close with the latest and greatest in DataStax Enterprise. Find out everything you need to know about the latest features, as we dive into the launch of DataStax Enterprise 5.1, OpsCenter 6.1 and Studio 2.0.
View recording: https://youtu.be/Vhu6ZkQUR0M
Explore all DataStax webinars: http://www.datastax.com/resources/webinars
CorelDRAW Technical Suite - Why to Choose & From Where to BuyRajeev MALHOTRA
Expand what’s possible in visual communication with CorelDRAW Technical Suite, a comprehensive collection of applications for high-impact technical design and documentation.
Photographic Film and Slide Scanning Alternativesmdruziak
This is an overview of the options available for digitizing photographic film and slides. It covers scanning 35mm and 120 format film and slides. This presentation also compares scanning yourself vs using a lab. Detailed information on Plustek's new OpticFilm 120 film scanner is also included.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2022/09/comparing-ml-based-audio-with-ml-based-vision-an-introduction-to-ml-audio-for-ml-vision-engineers-a-presentation-from-dsp-concepts/
Josh Morris, Engineering Manager at DSP Concepts, presents the “Comparing ML-Based Audio with ML-Based Vision: An Introduction to ML Audio for ML Vision Engineers” tutorial at the May 2022 Embedded Vision Summit.
As embedded processors become more powerful, our ability to implement complex machine learning solutions at the edge is growing. Vision has led the way, solving problems as far-reaching as facial recognition and autonomous navigation. Now, ML audio is starting to appear in more and more edge applications, for example in the form of voice assistants, voice user interfaces and voice communication systems.
Although audio data is quite different from video and image data, ML audio solutions often use many of the same techniques initially developed for video and images. In this talk, Morris introduces the ML techniques commonly used for audio at the edge, and compares and contrasts them with those commonly used for vision. You’ll get inspired to integrate ML-based audio into your next solution.
Adding more visuals without affecting performanceSt1X
Smallest viable set of performance optimizations recommendations for game artists. This presentation targets artist that have little knowledge about computer hardware capabilities and limitations.
For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/synopsys/embedded-vision-training/videos/pages/may-2014-embedded-vision-summit
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Bruno Lavigueur, Embedded Vision Subsystem Project Leader at Synopsys, presents the "Combining Flexibility and Low-Power in Embedded Vision Subsystems: An Application to Pedestrian Detection" tutorial at the May 2014 Embedded Vision Summit.
Lavigueur presents an embedded-mapping and refinement case study of a pedestrian detection application. Starting from a high-level functional description in OpenCV, he decomposes and maps the application onto a heterogeneous parallel platform consisting of a high-performance control processor and application-specific instruction-set processors (ASIPs). This application makes use of the HOG (Histogram of Oriented Gradients) algorithm.
Lavigueur reviews the computation requirements of the different kernels of the HOG algorithm, and presents possible mapping options onto the control processor and ASIPs. He also presents an OpenCV-to-ASIP software refinement methodology and supporting tools. He presents detailed results of the final configuration consisting of one control processor and four ASIPs, including cost and power figures. Finally, he summarizes the results on an FPGA-based rapid prototyping platform.
Zoom Rooms Kit from Video Conference Gear featuring the AVer CAM540 and Nurev...VideoConferenceGear.com
Zoom Rooms Kit from Video Conference Gear featuring the AVer CAM540 and Nureva HDL300 including the Dell Optiplex, table console with Apple iPad Mini, cables, connectors, and mounts.
2. Why Astral?
• Astral holds the best platform for surface defect removal and conversion to the new
UHD (Ultra High Definition) 4k HDR (High Dynamic Range) standards
• Astral ICE (Image Correction Enhancement) removes most, if not all, surface defects using proprietary and
classified algorithmic automation
• Astral is the leader in software capability and throughput
• Astral is faster & much more cost effective, while removing the majority of detects without the
need to outsource internationally
• Astral’s process gives you the much needed speed & efficiency the film industry should have, while
saving you money and giving you the freedom to scan & archive more films than previously possible
• Astral’s techniques can match the directors intent with ease
• Color, Lighting, & overall feel is identified and replicated
• Improving HDR by focusing on:
• Linear and Parametric color matching ensure the highest level of quality
• Highlight enhancements to the previously overexposed and ‘blown out’ film
• Details that were originally lost are identified and inserted back into the film
• Astral is the fastest solution in the market that actually works
• Our platform will greatly improve your film quality, speed of scanning, efficiency and overall
throughput at the highest level of quality
8. Ultra High Definition (UHD)
• Ultra High Definition (UHD) key components
• 4K pixels (4 times current HD std.)
• Enhanced Color Gamut
• High Dynamic Range (HDR)
9. High Dynamic Range (HDR)
Exposure for dark parts of the image Exposure for bright parts of the image
Optimized with HDR