MIT researchers have developed highly efficient quadruped robots like the Cheetah that can run at speeds up to 6m/s. The Cheetah uses a proprioceptive actuation system with high torque density motors to achieve high force control bandwidth over 120Hz. Its parallelized control system with multicore CPUs and FPGAs allows control frequencies up to 4kHz. Design principles for efficient legged locomotion include energy regeneration, low transmission impedance, and low leg inertia. The researchers are continuing their work with robots like Cheetah 2 and Hermes.
The Metaverse is a collection of 3D virtual simulations or worlds. Here, users can access various activities and can create their very own avatars. Metaverse will act as an alternative digital world where people can socialize and collaborate on tasks, play games and do many other activities.
The infrastructure of the Metaverse needs to have a solid foundation before connecting multiple virtual spaces with one another. Metaverse needs to be decentralized to function properly.
Centralized Metaverse will be extremely limited where third parties can take control with no intention of fair play. This is where blockchain comes in handy. Blockchain is the perfect technology for Metaverse as it can offer it the decentralization it needs for the users.
Here, at 101 Blockchains, we offer full courses that will help you understand blockchain and how blockchain will be a crucial part of the Metaverse.
The following courses will help you ->
Metaverse Fundamentals
https://academy.101blockchains.com/courses/metaverse-fundamentals
NFT Fundamentals Course
https://academy.101blockchains.com/courses/nft-fundamentals
Introduction to DeFi Course
https://academy.101blockchains.com/courses/defi-course
Tokenization Fundamentals
https://academy.101blockchains.com/courses/tokenization-fundamentals
Learn more about the certification courses from here ->
Certified Enterprise Blockchain Professional (CEBP) course
https://academy.101blockchains.com/courses/blockchain-expert-certification
Certified Enterprise Blockchain Architect (CEBA) course
https://academy.101blockchains.com/courses/certified-enterprise-blockchain-architect
Certified Blockchain Security Expert (CBSE) course
https://academy.101blockchains.com/courses/certified-blockchain-security-expert
Learn more from our guide ->
https://101blockchains.com/metaverse-future/
Introduction to the metaverse by Lionsorbet
“the futuristic ideal is a multi-dimensional, single unified, persistent world called the ‘metaverse’ where all companies and groups cooperate in a shared experience that can be accessed anywhere, anytime by anyone”
- Steve Irvine
Cos'è veramente il Metaverso e quali tecnologie odierne e future sono alla base di questo nuovo universo.
Approfondiremo insieme la realtà riguardo VR/AR, Blockchain, risorse persistenti e dispositivi che permetteranno al Metaverso di prosperare.
Al termine di questo talk avrai chiaro quali sono tutte le tecnologie a supporto di questo nuovo trend e come farne parte a partire da subito!
Sia per quando riguarda l'utilizzo degli strumenti di base sia per quanto riguarda lo sviluppo e creazione di ciò che sarà il futuro di Internet.
Viaggiamo insieme partendo da Headsets VR/AR, quali software e linguaggi utilizzare per sviluppare (Unity, Unreal, WebXR), la Blockchain e il suo ruolo in tutto questo con gli NFT, la proprietà digitale, Solidity, ed altro ancora.
제가 메타버스 강연/컨설팅할 때 사용하는 기본 자료입니다.
지난번 자료에서 20페이지 정도 업데이트했습니다.
<목차>
메타버스는 무엇인가?
버즈워드 vs. 메가 트렌드
첫 번째 세상: 증강현실 세계
두 번째 세상: 라이프로깅 세계
세 번째 세상: 거울 세계
네 번째 세상: 가상 세계
누가, 어떻게 사는가?
메타버스 진화 방향
메타버스 진입 전략
메타버스 Design Principles: Avatar
메타버스 Design Principles: Interaction
메타버스 Design Principles: Platform
매트릭스는 오는가?
날뛰는 기술의 뒷모습
Metaverse - The Future of Marketing and Web 3.0.pdfthetechnologynews
The global metaverse market was valued at USD 107,100.67 Million in 2020, and it is expected to reach a value of USD 758,600.86 Million by 2027, at a CAGR of 37.1% over the forecast period (2020 - 2027).
Get To Know More : https://skyquestt.com/report/metaverse-market
The Metaverse is a virtual interactive self-sufficient ecosystem comprising mobile networks, augmented reality, social media, gaming, virtual reality, e-commerce, cryptocurrency, and workplace. This universe is envisioned as the internet's future, bringing together augmented reality (AR), virtual reality (VR), and physical worlds in a common digital arena. NFTs and online events are exploding, opening up a world of possibilities for the metaverse and associated technologies.
The transition to the Metaverse is fast approaching. Several components and features of this open-source platform have progressed to the point where they may be smoothly merged to investigate the idea of building a parallel virtual reality. NFTs and online events are exploding, opening up a world of possibilities for the metaverse.
Global Metaverse Market Segmental Analysis
The Global Metaverse Market is segmented based on Type, Technology, and Application. Based on Type it is categorized into: Mobile and Desktop. Based on Technology it is categorized into: Blockchain, VR & AR, Mixed Reality, and Others. Based on Application it is categorized into: Gaming, Online Shopping, Content Creation, Social Media, and Others. Based on region it is categorized into: North America, Europe, Asia-Pacific, South America, and MEA.
Analysis by Application
The gaming segment is expected to be the largest segment in the Metaverse market throughout the forecast period (2020-2027).Due to major ongoing innovations and advances by developers, as well as a rising focus on improving immersion and making games more realistic, the gaming segment will have the leading revenue share of more than 25% in 2021. Furthermore, corporations' growing emphasis on using games to enhance their corporate image is expected to drive revenue growth.
China, the world's second-largest economy, is expected to reach a market size of USD 103,100.26 million in 2026, with a CAGR of 38.1 % throughout the forecast period. Other notable global markets include Japan and Canada, which are expected to increase at 31.3% and 29.6%, respectively, throughout the forecast period. Germany is expected to develop at a 36.8% CAGR within Europe, while the rest of the European market would reach USD 59,500.67 Million by the conclusion of the forecast period.
The Metaverse is a collection of 3D virtual simulations or worlds. Here, users can access various activities and can create their very own avatars. Metaverse will act as an alternative digital world where people can socialize and collaborate on tasks, play games and do many other activities.
The infrastructure of the Metaverse needs to have a solid foundation before connecting multiple virtual spaces with one another. Metaverse needs to be decentralized to function properly.
Centralized Metaverse will be extremely limited where third parties can take control with no intention of fair play. This is where blockchain comes in handy. Blockchain is the perfect technology for Metaverse as it can offer it the decentralization it needs for the users.
Here, at 101 Blockchains, we offer full courses that will help you understand blockchain and how blockchain will be a crucial part of the Metaverse.
The following courses will help you ->
Metaverse Fundamentals
https://academy.101blockchains.com/courses/metaverse-fundamentals
NFT Fundamentals Course
https://academy.101blockchains.com/courses/nft-fundamentals
Introduction to DeFi Course
https://academy.101blockchains.com/courses/defi-course
Tokenization Fundamentals
https://academy.101blockchains.com/courses/tokenization-fundamentals
Learn more about the certification courses from here ->
Certified Enterprise Blockchain Professional (CEBP) course
https://academy.101blockchains.com/courses/blockchain-expert-certification
Certified Enterprise Blockchain Architect (CEBA) course
https://academy.101blockchains.com/courses/certified-enterprise-blockchain-architect
Certified Blockchain Security Expert (CBSE) course
https://academy.101blockchains.com/courses/certified-blockchain-security-expert
Learn more from our guide ->
https://101blockchains.com/metaverse-future/
Introduction to the metaverse by Lionsorbet
“the futuristic ideal is a multi-dimensional, single unified, persistent world called the ‘metaverse’ where all companies and groups cooperate in a shared experience that can be accessed anywhere, anytime by anyone”
- Steve Irvine
Cos'è veramente il Metaverso e quali tecnologie odierne e future sono alla base di questo nuovo universo.
Approfondiremo insieme la realtà riguardo VR/AR, Blockchain, risorse persistenti e dispositivi che permetteranno al Metaverso di prosperare.
Al termine di questo talk avrai chiaro quali sono tutte le tecnologie a supporto di questo nuovo trend e come farne parte a partire da subito!
Sia per quando riguarda l'utilizzo degli strumenti di base sia per quanto riguarda lo sviluppo e creazione di ciò che sarà il futuro di Internet.
Viaggiamo insieme partendo da Headsets VR/AR, quali software e linguaggi utilizzare per sviluppare (Unity, Unreal, WebXR), la Blockchain e il suo ruolo in tutto questo con gli NFT, la proprietà digitale, Solidity, ed altro ancora.
제가 메타버스 강연/컨설팅할 때 사용하는 기본 자료입니다.
지난번 자료에서 20페이지 정도 업데이트했습니다.
<목차>
메타버스는 무엇인가?
버즈워드 vs. 메가 트렌드
첫 번째 세상: 증강현실 세계
두 번째 세상: 라이프로깅 세계
세 번째 세상: 거울 세계
네 번째 세상: 가상 세계
누가, 어떻게 사는가?
메타버스 진화 방향
메타버스 진입 전략
메타버스 Design Principles: Avatar
메타버스 Design Principles: Interaction
메타버스 Design Principles: Platform
매트릭스는 오는가?
날뛰는 기술의 뒷모습
Metaverse - The Future of Marketing and Web 3.0.pdfthetechnologynews
The global metaverse market was valued at USD 107,100.67 Million in 2020, and it is expected to reach a value of USD 758,600.86 Million by 2027, at a CAGR of 37.1% over the forecast period (2020 - 2027).
Get To Know More : https://skyquestt.com/report/metaverse-market
The Metaverse is a virtual interactive self-sufficient ecosystem comprising mobile networks, augmented reality, social media, gaming, virtual reality, e-commerce, cryptocurrency, and workplace. This universe is envisioned as the internet's future, bringing together augmented reality (AR), virtual reality (VR), and physical worlds in a common digital arena. NFTs and online events are exploding, opening up a world of possibilities for the metaverse and associated technologies.
The transition to the Metaverse is fast approaching. Several components and features of this open-source platform have progressed to the point where they may be smoothly merged to investigate the idea of building a parallel virtual reality. NFTs and online events are exploding, opening up a world of possibilities for the metaverse.
Global Metaverse Market Segmental Analysis
The Global Metaverse Market is segmented based on Type, Technology, and Application. Based on Type it is categorized into: Mobile and Desktop. Based on Technology it is categorized into: Blockchain, VR & AR, Mixed Reality, and Others. Based on Application it is categorized into: Gaming, Online Shopping, Content Creation, Social Media, and Others. Based on region it is categorized into: North America, Europe, Asia-Pacific, South America, and MEA.
Analysis by Application
The gaming segment is expected to be the largest segment in the Metaverse market throughout the forecast period (2020-2027).Due to major ongoing innovations and advances by developers, as well as a rising focus on improving immersion and making games more realistic, the gaming segment will have the leading revenue share of more than 25% in 2021. Furthermore, corporations' growing emphasis on using games to enhance their corporate image is expected to drive revenue growth.
China, the world's second-largest economy, is expected to reach a market size of USD 103,100.26 million in 2026, with a CAGR of 38.1 % throughout the forecast period. Other notable global markets include Japan and Canada, which are expected to increase at 31.3% and 29.6%, respectively, throughout the forecast period. Germany is expected to develop at a 36.8% CAGR within Europe, while the rest of the European market would reach USD 59,500.67 Million by the conclusion of the forecast period.
History about the industry AR/VR
A brief about the AR/VR industry, how far did it go? And what is the Obstacle?
What is Metaverse
How many “Universe” is there? What is the similarity and difference?
Metaverse may look like
Web 3.0 continues to create a more democratic, censorship-free, and more transparent internet network by producing solutions to the problems of Web 2.0.
In this direction, metaverse technology, which is a future repetition of the internet consisting of 3-dimensional, permanent virtual spaces connected to the virtual universe, continues to reveal its difference.
At this point, the new technologies of the future continue to develop.
Metaverse has become ae buzzword in the tech industry. Not a single day goes by without a mention of it
in the media, especially around investments, startups building components, new platforms being
announced and large companies entering this world of digital engagement. There is undeniably a huge momentum of an almost real 3D virtual world, and the clarion call was perhaps Facebook rebranding itself
as Meta which will perhaps be remembered as a red letter moment in the evolution of the Metaverse.
Everything about metaverse. Advantages,Disadvantages, metaverse movies. Vaidehi Patel
Everything that you need to know about metaverse. how to enter metaverse? What are the advantages of metaverse? Who bought metaverse? metaverse crypto projects? Metaverse movies? metaverse development company. metaverse avatars? metaverse virtual world? metaverse platforms? metaverse companies? It is all based on the concept of broadly transporting our physical-world experiences into mixed reality, virtual reality, and eventually augmented reality. The ultimate focus is to develop decentralized, fully interoperable, and immersive digital communities.
교통수단인 버스 이야기가 아니다. 메타버스는 가공, 추상을 의미하는 메타(meta)와 현실 세계를 의미하는 유니버스(universe)의 합성어로 3차원 가상세계를 의미한다. 미래의 플랫폼이다. 현실은 실제로 존재하는 세계다. 디지털 시대가 도래하여 HDM 기기를 머리에 쓰고, 첨단 영상 기술로 가상의 세계를 현실처럼 체험하는 시대가 되었다. 현실 이미지나 배경에 3차원의 가상 이미지를 겹쳐서 하나의 영상으로 보여주는 증강 현실 기술이 점차 널리 사용된다. 가상과 증강 두 가지 정보를 융합하는 혼합 현실을 넘어 이제는 모두를 아우르는 확장 현실의 시대로 향하고 있다. 질주하는 기술 발전으로 메타버스는 인터넷 이후 플랫폼이며 더 깊은 몰입감, 더 뛰어난 상호작용을 가능케 하여 미래 헤게모니를 쥐는 승리자가 될 것이다. 어차피 나와 우리가 살아가는 세상, 귀찮아도 조금 이해해보면 적어도 돌아가는 형편은 알 수 있다. 조금만 알면 다 별 것 아니다
EON Reality Knowledge Metaverse Program (EKM Program)Senthilkumar R
By bringing the knowledge metaverse to life, EON Reality will merge the physical, virtual, and augmented reality worlds to reshape the way people everywhere experience their realities. Physical objects and spaces will be complete with informational annotations, activities, and other enhanced knowledge points, while users in virtual reality will be able to digitally teleport themselves into real-life settings around the world.
Mobile Extended Reality (XR) is likely to become one of the world’s most disruptive computing platforms. It is expected to transform the way we interact with the world around us every day, delivering unprecedented new experiences and the potential to exponentially increase productivity. XR is inherently meant to be mobile, intuitive and always connected. Many new technologies in the areas of low power visual processing, cognition, and connectivity are required for this vision to become reality. This presentation discusses:
• A view of the evolution of XR from today to the future
• Examples of unprecedented experiences that XR is expected to enable
• Necessary technology advancements required in areas such as 3D graphics, computer vision, next-gen displays, machine learning, and wireless connectivity to support a new class of intelligent, and personalized XR experiences
https://www.qualcomm.com/invention/extended-reality
제가 메타버스 강연/컨설팅할 때 사용하는 기본 자료입니다.
<목차>
버즈워드 vs. 메가 트렌드
첫 번째 세상: 증강현실 세계
두 번째 세상: 라이프로깅 세계
세 번째 세상: 거울 세계
네 번째 세상: 가상 세계
누가, 어떻게 사는가?
메타버스가 일으키는 빅뱅
메타버스 진입 전략
메타버스 플랫폼 설계 원칙
매트릭스는 오는가?
날뛰는 기술의 뒷모습
History about the industry AR/VR
A brief about the AR/VR industry, how far did it go? And what is the Obstacle?
What is Metaverse
How many “Universe” is there? What is the similarity and difference?
Metaverse may look like
Web 3.0 continues to create a more democratic, censorship-free, and more transparent internet network by producing solutions to the problems of Web 2.0.
In this direction, metaverse technology, which is a future repetition of the internet consisting of 3-dimensional, permanent virtual spaces connected to the virtual universe, continues to reveal its difference.
At this point, the new technologies of the future continue to develop.
Metaverse has become ae buzzword in the tech industry. Not a single day goes by without a mention of it
in the media, especially around investments, startups building components, new platforms being
announced and large companies entering this world of digital engagement. There is undeniably a huge momentum of an almost real 3D virtual world, and the clarion call was perhaps Facebook rebranding itself
as Meta which will perhaps be remembered as a red letter moment in the evolution of the Metaverse.
Everything about metaverse. Advantages,Disadvantages, metaverse movies. Vaidehi Patel
Everything that you need to know about metaverse. how to enter metaverse? What are the advantages of metaverse? Who bought metaverse? metaverse crypto projects? Metaverse movies? metaverse development company. metaverse avatars? metaverse virtual world? metaverse platforms? metaverse companies? It is all based on the concept of broadly transporting our physical-world experiences into mixed reality, virtual reality, and eventually augmented reality. The ultimate focus is to develop decentralized, fully interoperable, and immersive digital communities.
교통수단인 버스 이야기가 아니다. 메타버스는 가공, 추상을 의미하는 메타(meta)와 현실 세계를 의미하는 유니버스(universe)의 합성어로 3차원 가상세계를 의미한다. 미래의 플랫폼이다. 현실은 실제로 존재하는 세계다. 디지털 시대가 도래하여 HDM 기기를 머리에 쓰고, 첨단 영상 기술로 가상의 세계를 현실처럼 체험하는 시대가 되었다. 현실 이미지나 배경에 3차원의 가상 이미지를 겹쳐서 하나의 영상으로 보여주는 증강 현실 기술이 점차 널리 사용된다. 가상과 증강 두 가지 정보를 융합하는 혼합 현실을 넘어 이제는 모두를 아우르는 확장 현실의 시대로 향하고 있다. 질주하는 기술 발전으로 메타버스는 인터넷 이후 플랫폼이며 더 깊은 몰입감, 더 뛰어난 상호작용을 가능케 하여 미래 헤게모니를 쥐는 승리자가 될 것이다. 어차피 나와 우리가 살아가는 세상, 귀찮아도 조금 이해해보면 적어도 돌아가는 형편은 알 수 있다. 조금만 알면 다 별 것 아니다
EON Reality Knowledge Metaverse Program (EKM Program)Senthilkumar R
By bringing the knowledge metaverse to life, EON Reality will merge the physical, virtual, and augmented reality worlds to reshape the way people everywhere experience their realities. Physical objects and spaces will be complete with informational annotations, activities, and other enhanced knowledge points, while users in virtual reality will be able to digitally teleport themselves into real-life settings around the world.
Mobile Extended Reality (XR) is likely to become one of the world’s most disruptive computing platforms. It is expected to transform the way we interact with the world around us every day, delivering unprecedented new experiences and the potential to exponentially increase productivity. XR is inherently meant to be mobile, intuitive and always connected. Many new technologies in the areas of low power visual processing, cognition, and connectivity are required for this vision to become reality. This presentation discusses:
• A view of the evolution of XR from today to the future
• Examples of unprecedented experiences that XR is expected to enable
• Necessary technology advancements required in areas such as 3D graphics, computer vision, next-gen displays, machine learning, and wireless connectivity to support a new class of intelligent, and personalized XR experiences
https://www.qualcomm.com/invention/extended-reality
제가 메타버스 강연/컨설팅할 때 사용하는 기본 자료입니다.
<목차>
버즈워드 vs. 메가 트렌드
첫 번째 세상: 증강현실 세계
두 번째 세상: 라이프로깅 세계
세 번째 세상: 거울 세계
네 번째 세상: 가상 세계
누가, 어떻게 사는가?
메타버스가 일으키는 빅뱅
메타버스 진입 전략
메타버스 플랫폼 설계 원칙
매트릭스는 오는가?
날뛰는 기술의 뒷모습
This paper is focused on developing a platform that
helps researchers to create verify and implement their
machine learning algorithms to a humanoid robot in real
environment. The presented platform is durable, easy to fix,
upgrade, fast to assemble and cheap. Also, using this platform
we present an approach that solves a humanoid balancing
problem, which uses only fully connected neural network as a
basic idea for real time balancing. The method consists of 3
main conditions: 1) using different types of sensors detect the
current position of the body and generate the input
information for the neural network, 2) using fully connected
neural network produce the correct output, 3) using servomotors make movements that will change the current position
to the new one. During field test the humanoid robot can
balance on the moving platform that tilts up to 10 degrees to
any direction. Finally, we have shown that using our platform
we can do research and compare different neural networks in
similar conditions which can be important for the researchers
to do analyses in machine learning and robotics.
Nowadays science has made great progress in extracting information from DNA and the huge amounts of data that is being produced need new ways and architectures to carry on the computation in an efficient way. Among the different analysis performed on the DNA, one of the most compute intensive concerns the task of aligning a set of strings (reads) to specific targets. In these regards, Lawrence Berkeley National Laboratory (LBNL) and the University of California Berkeley (UCB) developed the merAligner: a fully parallel sequence aligner that uses a seed-and-extend algorithm to perform the alignment. This aligner is able to scale up efficiently to thousands of cores on a Cray XC30 supercomputer. Despite the high computational power, this architecture consumes a significant amount of power, reducing considerably its power efficiency. To this end, reconfigurable hardware architectures have demonstrated to be able to deliver high performances, while keeping a relatively low power profile. In this work, we propose an FPGA architecture for the alignment step of the merAligner. The architecture has been designed using Chisel HCL, while the final architecture has been synthesized using Xilinx SDAccel targeting a Xilinx Kintex Ultrascale board. Final results are capable of outperforming merAligner alignment step on a test dataset by a factor of up to 7x in performance and 66x in power efficiency.
Stabilization of Six-Legged Robot on Tilt Surface With 9 DOF IMU Based on Inv...IJRES Journal
Robot is a tool which is developed very fast. There are several types of robots, one of them is six-legged robot. One of the problems of this robot is when the robot walks on the tilt surface. This would result the movement of the robot could be late and the center of gravity is not balanced. In this research, stabilization of six-legged robot walking on tilt surface using nine degree of freedom (DOF) inertial measurement unit (IMU) sensor based on invers kinematic is designed. The IMU sensor comprises a gyroscope, a magnetometer, and three-axis accelerometer. This sensor works as the input of the tilt degree and heading of the robot, therefore they can be processed in fuzzy-pid controller to balance the body of the robot on tilt surface. The results show that the robot will move forward when the x-axis translation inverse changed from its original position, move aside when the y-axis translational modified and move up and down if the translation to the z-axis was changed. From the testing of IMU get the total of RMSE pitch is 1,73%, roll =1,67% and yaw = 1,24%. In controller fuzzy-pid get the good respon is on the value Kp have k1=0,5, k2=1 , k3 = 3 , Ki have k1=0,5 , k2=0,5, k3=0,5 and Kd have k1=0,25 , k2=0,35 dan k3=0,45.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Exploring Compiler Optimization Opportunities for the OpenMP 4.x Accelerator...Akihiro Hayashi
Third Workshop on Accelerator Programming Using Directives (WACCPD2016, co-located with SC16)
While GPUs are increasingly popular for high-performance
computing, optimizing the performance of GPU programs is a time-consuming and non-trivial process in general. This complexity stems from the low abstraction level of standard
GPU programming models such as CUDA and OpenCL:
programmers are required to orchestrate low-level operations
in order to exploit the full capability of GPUs. In terms of
software productivity and portability, a more attractive approach
would be to facilitate GPU programming by providing high-level
abstractions for expressing parallel algorithms.
OpenMP is a directive-based shared memory parallel programming model and has been widely used for many years.
From OpenMP 4.0 onwards, GPU platforms are supported
by extending OpenMP’s high-level parallel abstractions with
accelerator programming. This extension allows programmers to
write GPU programs in standard C/C++ or Fortran languages,
without exposing too many details of GPU architectures.
However, such high-level parallel programming strategies generally impose additional program optimizations on compilers,
which could result in lower performance than fully hand-tuned
code with low-level programming models.To study potential
performance improvements by compiling and optimizing high-level GPU programs, in this paper, we 1) evaluate a set of
OpenMP 4.x benchmarks on an IBM POWER8 and NVIDIA
Tesla GPU platform and 2) conduct a comparable performance
analysis among hand-written CUDA and automatically-generated
GPU programs by the IBM XL and clang/LLVM compilers.
Presentation by Jonathan Cohen & Mark Berger at Bioinformatics conference July 2013. It covers
- GPU Programming in 10 slides
- GPUs in Bioinformatics
- Porting SeqAn to CUDA
- Resources for developers and bioinformatics professionals
In our contemporary world of science & technology, most of us are
going for automation. Robotics covers a large area in the automated
world and robotic arm has become popular in the world of robotics.
Robotic arm can do such operations which are difficult & dangerous
for human (e.g. removing mines, mining operations and so on). Even
robotic arm is doing critical surgery of brain. In our project of robotic
arm, our main intention was to control it by the microcontroller. By
doing this we miniaturized the control section of the robotic arm.
SYSTEM ON PROGRAMMABLE CHIP FOR PERFOMANCE ESTIMATION OF LOOM MACHINEVLSICS Design
System on programmable chip for the performance estimation of loom machine, which calculates the efficiency and meter count for weaved cloth automatically. Also it calculates the efficiency of loom machine. Previously the same was done using manual process which was not efficient. This article is intended for loom machines which are not modern.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
2. contents
1. Introduction
2. Leg Actuation System Design
3. Parallel Processing in Mobile Robot Controllers
4. Design Principles for Energy Efficient Legged Locomotion
5. What’s Next?
5. 1.1 Running
[1] P. WEYAND et al., “Faster top running speeds are achieved
with greater ground forces not more rapid leg movements”, J. A
ppl. Physiol. 89: 1991–1999, 2000
𝐹𝑧(N)
𝑇
𝑡 𝑠 𝑡 𝑠 𝑡 𝑎𝑡 𝑎
M=70 kg
V=4.5 m/s
700N
𝐹𝑧(𝑡) ⅆ𝑡 = 𝑚𝑔𝑇
𝑇
0
Vertical Momentum Conservation
6. 1.2 In the Blink of an Eye
Airbag: 30ms
Playback speed: 0.06x
MIT Cheetah running at 6m/s
• Swing time: 250ms
• Stance time: 57ms
Blink: 400ms
7. 1.3 Requirements
• Ground reaction force at 6m/s:
– Maximum: 450N
– Stance time: 57ms
• Leg actuation system’s force bandwidth:
– 120Hz (MIT Cheetah’s real spec)
• Main controller’s control sampling frequency:
– 20~30x of the closed loop bandwidth [64]
– 2.4-3.6kHz
– At 4 kHz, sampling period is 250𝜇𝑠
Fy
57ms
Touchdown
angle
8. 2.
Leg Actuation System
Design
Seok, Sangok, et al. "Actuator design for high force proprioceptive control in fast legged locomotion." Intelligent Robots and Systems (IROS),
2012 IEEE/RSJ International Conference on. IEEE, 2012.
9. 2.1EM Motors
Recommended
operation range
Short-term
operation range
Torque
Angular speed
Maximum
Continuous
Torque/Current
Demagnetization
Torque/Current
10X of max. cont.
Torque/Current
V= Vrecommended
𝑟
𝑡
𝑙
𝑟 : gap radius
𝑡 : rotor thickness
𝑙 : rotor length
Stator
Rotor
Torque Density ∝ 𝑟
10. 2.2 Force Control
Geared Motor with
Torque(Force) Sensor
Leg
Motor
High Gear Ratio
Transmission
Stiff
Sensor
Series Elastic Actuator
Leg
Spring,
Encoder
Motor
High Gear Ratio
Transmission
11. 2.3 High Force Proprioceptive Actuation
High Torque
Density Motor
Low Gear Ratio
Transmission
Low Inertia
Leg
No Force (Torque) Sensor
No Series Elastic
Proprioceptive Actuation:
Collocated force control through
(1) maximizing torque density
(2) minimizing mechanical impedance
13. 3.
Parallel Processing in
Mobile Robot
Controllers
A Highly Parallelized Control System Platform Architecture using Multicore CPU and FPGA for Multi-DoF Robots
Sangok Seok, Dong Jin Hyun, SangIn Park, David Otten, and Sangbae Kim
Submitted: 2014 IEEE International Conference on Robotics and Automation (ICRA)
14. 3.1 Importance of Fast Processing
MIT Cheetah: 12 DoF
Asimo: 34 DoF
More Functions (More Actuators and Sensors)
More Agile (Higher System Bandwidth)
15. 3.2 Solutions
Faster system:
- Faster Bus
- Faster CPU [66],[67]
Main Controller
Fast CPU
Distributed
Controller 1
⋮
Distributed
Controller 2
Distributed
Controller N
Main Controller
Multicore CPU, FPGA
Distributed
Controller 1
⋮
Distributed
Controller 2
Distributed
Controller N
Fast BUS
Parallel connection
Parallel Processing:
- Parallel connection
- Multicore CPU, FPGA
17. 3.4 Processing Sequence in MIT Cheetah
Forward
Kinematics
Running
Algorithm
PD Control Jacobian
Current
Commands
Receive
Sensor Data
Distributed
Controller 1
Distributed
Controller 2
Distributed
Controller N
Main Controller
⋮
IndependentProcess
Dependent Process
18. 3.5 Overall Process
Current 1
Current 2
:
Current n
Current
Current
Current
Communication
Output Emulator
Motor Driver 1
Motor Driver 2
.
.
.
Motor Driver n
.
.
.
Angle
Current
Angle
Current
Angle
Current
Communication
Input Emulator
Angle 1
Angle 2
:
Angle n
Current 1
Current 2
:
Current n
Front Left Leg
Front Right Leg
Rear Left Leg
Rear Right Leg
Kinematics
.
.
.
𝑇1 = 17.24𝜇𝑠 𝑇2 = 22𝜇𝑠 𝑇3 = 50𝜇𝑠 𝑇4 = 44𝜇𝑠 𝑇5 = 36.85𝜇𝑠
20. 3.7 Process in Dualcore
Forward
Kinematics
Running
Algorithm
PD Control Jacobian
Current
Commands
Receive
Sensor Data
Main Controller
Think
(Process)
Act
(Transmit)
Sense
(Receive)
Main Controller
Dualcore CPU
21. 3.7 Process in Dual-core
𝑇𝑘𝑅 𝑘 𝑃𝑘 𝑇𝑘+1𝑅 𝑘+1 𝑃𝑘+1
Time
· · · · · ·
∆𝑇𝑅 ∆𝑇𝑃 ∆𝑇𝑇
∆𝑇
CPU
𝑇𝑘𝑅 𝑘
𝑃𝑘
𝑇𝑘+1𝑅 𝑘+1
𝑃𝑘+1
Time
· · · · · ·CPU 2
CPU 1
∆𝑇
𝑘 𝑡ℎ iteration 𝑘 + 1 𝑡ℎ iteration
Single CPU
Dual-core CPU
22. 3.7 Process in Dual-core
idle
idle
𝑇𝑘𝑅 𝑘
𝑃𝑘
Time
· · · · · ·CPU 2
CPU 1
∆𝑇
𝑘 𝑡ℎ iteration
𝑇𝑘+1𝑅 𝑘+1
𝑃𝑘+1
𝑘 + 1 𝑡ℎ iteration
idle
idle 𝑅 𝑘+2
𝑃𝑘+2
𝑇𝑘−1 𝑅 𝑘+3𝑇𝑘𝑅 𝑘
𝑃𝑘
𝑇𝑘+2𝑅 𝑘+2
𝑃𝑘+2
Time
· · · · · ·CPU 2
CPU 1
∆𝑇 2
𝑘 𝑡ℎ iteration
𝑇𝑘+1𝑅 𝑘+1
𝑃𝑘+1
𝑘 + 1 𝑡ℎ iteration
Make ∆𝑇𝑃𝑟𝑜𝑐𝑒𝑠𝑠 = ∆𝑇𝑅𝑒𝑐𝑒𝑖𝑣𝑒 + ∆𝑇𝑇𝑟𝑎𝑛𝑠𝑚𝑖𝑡
Removing the idle states
24. 3.8 Final Magic: SIMD
Benchmark test results with many legs: 1. PD Control
50000
0
10000
20000
30000
40000
10000 200 400 600 800
Number of Legs
ExecutionTime(ns)
20
0
5
10
15
10000 200 400 600 800
Number of Legs
Scalar Operation
SIMD Operation
2500 times faster for 1000 legs
25. 4.
Design Principles for
Energy Efficient
Legged Locomotion
Design Principles for Highly Efficient Quadrupeds and Implementation on the MIT Cheetah
Sangok Seok, Albert Wang, Meng Yee (Michael) Chuah, David Otten, Jeffrey Lang and Sangbae Kim
2013 IEEE International Conference on Robotics and Automation (ICRA)
Design Principles for Energy Efficient Legged Locomotion and Implementation on the MIT Cheetah
Sangok Seok, Albert Wang, Meng Yee (Michael) Chuah, Dong Jin Hyun, Jongwoo Lee, David Otten, Jeffrey Lang, and Sangbae Kim
2014 IEEE/ASME Transactions on Mechatronics
26. 4.1 Energy Flow Diagram
Energy Source
(Battery)
Actuator
(EM Motor)
Positive
work
(Wposi)
Mechanical
Transmission
Ej
Negative
work
(Wneg)
Mechanical Energy
(Ek + Ep)
Ef
Ei
Principles ImplementationSystem Energy Flow
High Torque Density
Motor
Energy
Regeneration
Low Impedance
Transmission
(Back Drivability)
Low Inertia Leg
Large Gap Radius Motor
Efficient Driver Design
Single-stage Low Gear
Transmission
Dual Coaxial Motor
Differential Actuated
Spine
Composite Leg/
Biotensegrity
Joule Heating
Friction
Interaction
28. 4.3 Energy Efficiency for Animals and Robots
MIT Cheetah
(0.5)
ASIMO (2)
Bigdog (15)
Human
Running
Cheetah
LogMinimumcostofTransport,P/(WV)
EfficiencyHigher(logscale)