Writeup for our Autonomous Band project. We created an artificial intelligence system that detects and parses large sheet music with an overhead camera and plays the music on xylophones with a series of synchronized robotics arms. See the website link on the writeup for video demonstrations and more information.
Dipnoi Fish's studio equipments described by him.
Technical aspects and artistical use of the instruments, with a link to listen to his music creations.
Visit also Dipnoi Fish's Facebook page and subscribe to follow this inspires artist.
He will make you dance, think, and smile.
Sampling, EXS24, Logic Pro X, Creating Sampler Instruments. Using the EXS24 Instrument Editor, Creating Loop Points, Creating Multiple Zones from Region Transients, Filtering and Modulation, Using Groups, Routing Individual Sounds for Processing.
Taken from a white paper called, ‘Logic Pro X, Elemental Morphing in Alchemy’. Located at, https://fdocuments.in/reader/full/logic-pro-x-elemental-morphing-in-logic-pro-x-elemental-morphing-n-alchemy-morphing.html. August 2015
Dipnoi Fish's studio equipments described by him.
Technical aspects and artistical use of the instruments, with a link to listen to his music creations.
Visit also Dipnoi Fish's Facebook page and subscribe to follow this inspires artist.
He will make you dance, think, and smile.
Sampling, EXS24, Logic Pro X, Creating Sampler Instruments. Using the EXS24 Instrument Editor, Creating Loop Points, Creating Multiple Zones from Region Transients, Filtering and Modulation, Using Groups, Routing Individual Sounds for Processing.
Taken from a white paper called, ‘Logic Pro X, Elemental Morphing in Alchemy’. Located at, https://fdocuments.in/reader/full/logic-pro-x-elemental-morphing-in-logic-pro-x-elemental-morphing-n-alchemy-morphing.html. August 2015
Research paper summarizing my work on artificial intelligence in issuing financial credit. Credit issuing strategies are simulated by trading agents in various credit networks.
This is a brief research paper on artificial spinal disc implants that I wrote for an introductory engineering class that focused on material choice for biomedical implants
Presentation on our Autonomous Band project. The project consisted of a series of robotic arms playing xylophones. See the ful project writeup in my Slideshare documents.
These are slides from a presentation given to provide an overview of our group research on artificial intelligence (specifically, artificially intelligence use to optimize strategy in game play).
Presentation for our Digital Tuner Project at Technische Universität Berlin. We built the hardware for a music tuner board and programmed and tested the board to work as a guitar tuner board. See our project writeup for more specific details.
In a presentation he gave at the 2014 CAMfire Conference in Las Vegas, NV, Ben Truehart explores the past of how homeowners pay their dues, and makes a well-researched and data backed case for online payment processing for community associations.
This paper describe the morphing concept in which we convert the voice of any person into pre -analyzed or pre-recorded voice of any animals.As the user generate a pre-established voice, his pitch, timbre, vibrato and articulation can be modified to resemble those of a pre-recorded and pre-analyzed voice of animal. This technique is based on SMS. Thus using this concept we can develop many funny application and we can used this type of application in mobile device, personal computer etc. for enjoying the sometime of period.
Audio Signal Identification and Search Approach for Minimizing the Search Tim...aciijournal
Audio or music fingerprints can be utilize to implement an economical music identification system on a
million-song library, however the system needs great deal of memory to carry the fingerprints and indexes.
Therefore, for a large-scale audio library, memory imposes a restriction on the speed of music
identifications. So, we propose an efficient music identification system which used a kind of space-saving
audio fingerprints. For saving space, original finger representations are sub-sample and only one quarters
of the original data is reserved. In this approach, memory demand is far reduced and therefore the search
speed is criticalincreasing whereas the lustiness and dependability ar well preserved. Mapping
audio information to time and frequency domain for the classification, retrieval or identification tasks
presents four principal challenges. The dimension of the input should be considerably reduced;
the ensuing options should be strong to possible distortions of the input; the feature should be informative
for the task at hand simple. We propose distortion free system which fulfils all four of these requirements.
Extensive study has been done to compare our system with the already existing ones, and the results show
that our system requires less memory, provides fast results and achieves comparable accuracy for a largescale database.
KEYWORDS
AUDIO SIGNAL IDENTIFICATION AND SEARCH APPROACH FOR MINIMIZING THE SEARCH TIM...aciijournal
Audio or music fingerprints can be utilize to implement an economical music identification system on a
million-song library, however the system needs great deal of memory to carry the fingerprints and indexes.
Therefore, for a large-scale audio library, memory imposes a restriction on the speed of music
identifications. So, we propose an efficient music identification system which used a kind of space-saving
audio fingerprints. For saving space, original finger representations are sub-sample and only one quarters
of the original data is reserved. In this approach, memory demand is far reduced and therefore the search
speed is criticalincreasing whereas the lustiness and dependability ar well preserved. Mapping
audio information to time and frequency domain for the classification, retrieval or identification tasks
presents four principal challenges. The dimension of the input should be considerably reduced;
the ensuing options should be strong to possible distortions of the input; the feature should be informative
for the task at hand simple. We propose distortion free system which fulfils all four of these requirements.
Extensive study has been done to compare our system with the already existing ones, and the results show
that our system requires less memory, provides fast results and achieves comparable accuracy for a largescale database.
Audio Signal Identification and Search Approach for Minimizing the Search Tim...aciijournal
Audio or music fingerprints can be utilize to implement an economical music identification system on a
million-song library, however the system needs great deal of memory to carry the fingerprints and indexes.
Therefore, for a large-scale audio library, memory imposes a restriction on the speed of music
identifications. So, we propose an efficient music identification system which used a kind of space-saving
audio fingerprints. For saving space, original finger representations are sub-sample and only one quarters
of the original data is reserved. In this approach, memory demand is far reduced and therefore the search
speed is criticalincreasing whereas the lustiness and dependability ar well preserved. Mapping
audio information to time and frequency domain for the classification, retrieval or identification tasks
presents four principal challenges. The dimension of the input should be considerably reduced;
the ensuing options should be strong to possible distortions of the input; the feature should be informative
for the task at hand simple. We propose distortion free system which fulfils all four of these requirements.
Extensive study has been done to compare our system with the already existing ones, and the results show
that our system requires less memory, provides fast results and achieves comparable accuracy for a largescale database.
Audio Signal Identification and Search Approach for Minimizing the Search Tim...aciijournal
Audio or music fingerprints can be utilize to implement an economical music identification system on a
million-song library, however the system needs great deal of memory to carry the fingerprints and indexes.
Therefore, for a large-scale audio library, memory
imposes a restriction on the speed of music
identifications. So, we propose an efficient music
identification system which used a kind of space-saving
audio fingerprints. For saving space, original finger representations are sub-sample and only one quarters
of the original data is reserved. In this approach,
memory demand is far reduced and therefore the search
speed is criticalincreasing whereas the lustiness and dependability are well preserved. Mapping
audio information to time and frequency domain for
the classification, retrieval or identification tasks
presents four principal challenges. The dimension o
f the input should be considerably reduced;
the ensuing options should be strong to possible distortions of the input; the feature should be informative
for the task at hand simple. We propose distortion
free system which fulfils all four of these requirements.
Extensive study has been done to compare our system
with the already existing ones, and the results sh
ow
that our system requires less memory, provides fast
results and achieves comparable accuracy for a large-
scale database.
Spherator is a frequency modulation synthesizer to generate an eclectic spectrum of sounds, through a sine wave modulator oscillator that modulates the frequency of a sine wave carrier oscillator, by creating harmonic and inharmonic sounds.
It can be used to create spacey pads, synth leads, keys, basses, atmospheric textures and ambient soundscapes. Features a collection of 40 presets suitable for many genres and styles of music and flexibility to custom design over a diverse sonic palette. Available as a plugin in VST and VST3 64 bit versions for Windows, as well as in Audio Unit for macOS.
A new parallel bat algorithm for musical note recognition IJECEIAES
Music is a universal language that does not require an interpreter, where feelings and sensitivities are united, regardless of the different peoples and languages, The proposed system consists of two main stages: the process of extracting important properties using the linear discrimination analysis (LDA) This step is carried out after the initial treatment process using various procedures to remove musical lines, The second stage describes the recognition process using the bat algorithm, which is one of the metaheuristic algorithms after modifying the bat algorithm to obtain better discriminating results. The proposed system was supported by parallel implementation using the (developed bat algorithm DBA), which increased the speed of implementation significantly. The method was applied to 1250 different images of musical notes. The proposed system was implemented using MATLAB R2016a, Work was done on a Windows10 Processor OS (Intel ® Core TM i5-7200U CPU @ 2.50GHZ 2.70GHZ) computer.
Antescofo Syncronous Languages for Musical Composition nazlitemu
Antescofo is a syncronous language that is composed of some properties that Esterel and Lustral Languages..
Antesfoco is a project that is dedicated to generate intelligent contribution of the computers to the live music syntesis.
Abstract :
Although solutions to the challenge of binaural artificial recreation of audio specializations exist in the Computer Music domain, a review of the area suggests that a comprehensive, generic, accurate and efficient tool set is required; hence this paper/thesis will deal with automated sound creation using sound synthesis. The entire setup was implemented using Csound. Csound implements many synthesis techniques unavailable through other means, such as user-controlled physical modeling.
Research paper summarizing my work on artificial intelligence in issuing financial credit. Credit issuing strategies are simulated by trading agents in various credit networks.
This is a brief research paper on artificial spinal disc implants that I wrote for an introductory engineering class that focused on material choice for biomedical implants
Presentation on our Autonomous Band project. The project consisted of a series of robotic arms playing xylophones. See the ful project writeup in my Slideshare documents.
These are slides from a presentation given to provide an overview of our group research on artificial intelligence (specifically, artificially intelligence use to optimize strategy in game play).
Presentation for our Digital Tuner Project at Technische Universität Berlin. We built the hardware for a music tuner board and programmed and tested the board to work as a guitar tuner board. See our project writeup for more specific details.
In a presentation he gave at the 2014 CAMfire Conference in Las Vegas, NV, Ben Truehart explores the past of how homeowners pay their dues, and makes a well-researched and data backed case for online payment processing for community associations.
This paper describe the morphing concept in which we convert the voice of any person into pre -analyzed or pre-recorded voice of any animals.As the user generate a pre-established voice, his pitch, timbre, vibrato and articulation can be modified to resemble those of a pre-recorded and pre-analyzed voice of animal. This technique is based on SMS. Thus using this concept we can develop many funny application and we can used this type of application in mobile device, personal computer etc. for enjoying the sometime of period.
Audio Signal Identification and Search Approach for Minimizing the Search Tim...aciijournal
Audio or music fingerprints can be utilize to implement an economical music identification system on a
million-song library, however the system needs great deal of memory to carry the fingerprints and indexes.
Therefore, for a large-scale audio library, memory imposes a restriction on the speed of music
identifications. So, we propose an efficient music identification system which used a kind of space-saving
audio fingerprints. For saving space, original finger representations are sub-sample and only one quarters
of the original data is reserved. In this approach, memory demand is far reduced and therefore the search
speed is criticalincreasing whereas the lustiness and dependability ar well preserved. Mapping
audio information to time and frequency domain for the classification, retrieval or identification tasks
presents four principal challenges. The dimension of the input should be considerably reduced;
the ensuing options should be strong to possible distortions of the input; the feature should be informative
for the task at hand simple. We propose distortion free system which fulfils all four of these requirements.
Extensive study has been done to compare our system with the already existing ones, and the results show
that our system requires less memory, provides fast results and achieves comparable accuracy for a largescale database.
KEYWORDS
AUDIO SIGNAL IDENTIFICATION AND SEARCH APPROACH FOR MINIMIZING THE SEARCH TIM...aciijournal
Audio or music fingerprints can be utilize to implement an economical music identification system on a
million-song library, however the system needs great deal of memory to carry the fingerprints and indexes.
Therefore, for a large-scale audio library, memory imposes a restriction on the speed of music
identifications. So, we propose an efficient music identification system which used a kind of space-saving
audio fingerprints. For saving space, original finger representations are sub-sample and only one quarters
of the original data is reserved. In this approach, memory demand is far reduced and therefore the search
speed is criticalincreasing whereas the lustiness and dependability ar well preserved. Mapping
audio information to time and frequency domain for the classification, retrieval or identification tasks
presents four principal challenges. The dimension of the input should be considerably reduced;
the ensuing options should be strong to possible distortions of the input; the feature should be informative
for the task at hand simple. We propose distortion free system which fulfils all four of these requirements.
Extensive study has been done to compare our system with the already existing ones, and the results show
that our system requires less memory, provides fast results and achieves comparable accuracy for a largescale database.
Audio Signal Identification and Search Approach for Minimizing the Search Tim...aciijournal
Audio or music fingerprints can be utilize to implement an economical music identification system on a
million-song library, however the system needs great deal of memory to carry the fingerprints and indexes.
Therefore, for a large-scale audio library, memory imposes a restriction on the speed of music
identifications. So, we propose an efficient music identification system which used a kind of space-saving
audio fingerprints. For saving space, original finger representations are sub-sample and only one quarters
of the original data is reserved. In this approach, memory demand is far reduced and therefore the search
speed is criticalincreasing whereas the lustiness and dependability ar well preserved. Mapping
audio information to time and frequency domain for the classification, retrieval or identification tasks
presents four principal challenges. The dimension of the input should be considerably reduced;
the ensuing options should be strong to possible distortions of the input; the feature should be informative
for the task at hand simple. We propose distortion free system which fulfils all four of these requirements.
Extensive study has been done to compare our system with the already existing ones, and the results show
that our system requires less memory, provides fast results and achieves comparable accuracy for a largescale database.
Audio Signal Identification and Search Approach for Minimizing the Search Tim...aciijournal
Audio or music fingerprints can be utilize to implement an economical music identification system on a
million-song library, however the system needs great deal of memory to carry the fingerprints and indexes.
Therefore, for a large-scale audio library, memory
imposes a restriction on the speed of music
identifications. So, we propose an efficient music
identification system which used a kind of space-saving
audio fingerprints. For saving space, original finger representations are sub-sample and only one quarters
of the original data is reserved. In this approach,
memory demand is far reduced and therefore the search
speed is criticalincreasing whereas the lustiness and dependability are well preserved. Mapping
audio information to time and frequency domain for
the classification, retrieval or identification tasks
presents four principal challenges. The dimension o
f the input should be considerably reduced;
the ensuing options should be strong to possible distortions of the input; the feature should be informative
for the task at hand simple. We propose distortion
free system which fulfils all four of these requirements.
Extensive study has been done to compare our system
with the already existing ones, and the results sh
ow
that our system requires less memory, provides fast
results and achieves comparable accuracy for a large-
scale database.
Spherator is a frequency modulation synthesizer to generate an eclectic spectrum of sounds, through a sine wave modulator oscillator that modulates the frequency of a sine wave carrier oscillator, by creating harmonic and inharmonic sounds.
It can be used to create spacey pads, synth leads, keys, basses, atmospheric textures and ambient soundscapes. Features a collection of 40 presets suitable for many genres and styles of music and flexibility to custom design over a diverse sonic palette. Available as a plugin in VST and VST3 64 bit versions for Windows, as well as in Audio Unit for macOS.
A new parallel bat algorithm for musical note recognition IJECEIAES
Music is a universal language that does not require an interpreter, where feelings and sensitivities are united, regardless of the different peoples and languages, The proposed system consists of two main stages: the process of extracting important properties using the linear discrimination analysis (LDA) This step is carried out after the initial treatment process using various procedures to remove musical lines, The second stage describes the recognition process using the bat algorithm, which is one of the metaheuristic algorithms after modifying the bat algorithm to obtain better discriminating results. The proposed system was supported by parallel implementation using the (developed bat algorithm DBA), which increased the speed of implementation significantly. The method was applied to 1250 different images of musical notes. The proposed system was implemented using MATLAB R2016a, Work was done on a Windows10 Processor OS (Intel ® Core TM i5-7200U CPU @ 2.50GHZ 2.70GHZ) computer.
Antescofo Syncronous Languages for Musical Composition nazlitemu
Antescofo is a syncronous language that is composed of some properties that Esterel and Lustral Languages..
Antesfoco is a project that is dedicated to generate intelligent contribution of the computers to the live music syntesis.
Abstract :
Although solutions to the challenge of binaural artificial recreation of audio specializations exist in the Computer Music domain, a review of the area suggests that a comprehensive, generic, accurate and efficient tool set is required; hence this paper/thesis will deal with automated sound creation using sound synthesis. The entire setup was implemented using Csound. Csound implements many synthesis techniques unavailable through other means, such as user-controlled physical modeling.
Synthractive is a stereo subtractive synthesizer. Tones are created by subtracting unwanted frequencies, usually harmonics, attenuated by a filter to alter the timbre of the sound. Dialing in a combination of parameters from the oscillators, LFOs, amplitude and filter envelopes, will determine the tone and shape of the sound, which allows to sculpt a wide range of sonic texture.
It can be used to create spacey pads, synth leads, keys, basses, sequences, atmospheric textures, ambient soundscapes and sound effects. Features a collection of 40 presets suitable for many genres and styles of music and flexibility to custom design over a diverse sonic palette. Available as plugin in VST and VST3 64 bit versions for Windows, as well as in Audio Unit for macOS.
Features 40 Presets:
01. LEAD Fuzz Lead
02. LEAD Gravitational Energy
03. LEAD Gritty Lead
04. LEAD Saw Lead
05. LEAD Thick Waves
06. LEAD Wavy Pulse
07. PAD Borealis Basin
08. PAD Cinematic Synth
09. PAD Crystal Reverie
10. PAD Deep Ambient
11. PAD Glassy Vision
12. PAD Soundscape Texture
13. PAD Spacey Organ
14. BASS Acid Bassline
15. BASS Chameleon Bassline
16. BASS Fat Bass
17. BASS Pedal Synthesizer
18. BASS ResoMoog
19. BASS Resonance Bass
20. KEY Electric Piano
21. KEY Marimbaphone
22. KEY Organ Flute
23. KEY Poly Brass
24. KEY Sine Wave Organ
25. SEQ Asteroids
26. SEQ Asynchronous World
27. SEQ Automated Ravens
28. SEQ Kaleidoscope
29. SEQ Liquid Pattern
30. SEQ Rhythmic Magma
31. ATMO Cosmic Wind
32. ATMO Extrasensory Waves
33. ATMO Oneiric Chamber
34. ATMO Serial Madness
35. ATMO Sinusoidal Dream
36. ATMO Spectral Ghosts
37. SFX Ascending Brain
38. SFX Birds Murmuration
39. SFX Effervescent Laser
40. SFX Subtractive Alien
Knn a machine learning approach to recognize a musical instrumentIJARIIT
The integrated set of functions written in Matlab, dedicate to the extraction of audio tones of musical options connected
to timbre, tonality, rhythm or type. A study on feature analysis in today’s atmosphere, most of the musical information retrieval
algorithmic programs square measure matter based mostly algorithm so we have a tendency that cannot able to build a
classification of musical instruments. In most of the retrieval system, the classification is often done on the premise of term
frequencies and use of snippets in any documents. We have a tendency to gift MIR tool case, associate degree for recognition of
classical instruments, using machine learning techniques to select and evaluate features extracted from a number of different
feature schemes was described by Deng et al. The performance of Instrument recognition was checked using with different
feature selection and algorithms.
Write-up of final project for Multimedia Systems Design grad course. We implemented a content-based image search engine using color histograms, back projection, and Bhattacharyya distance.
Game-theoretic Patrol Strategies for Transit Systems: the TRUSTS System and i...Samantha Luber
Published at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2013).
An expensive and prevalent problem worldwide, fare evasion in proof-of-payment transit systems introduces a need for randomized patrol strategies that effectively deter fare evasion and maximize transit system revenue. The Tactical Randomizations for Urban Security in Transit Systems (TRUSTS) approach addresses this challenge by using Bayesian Stackelberg games to model the transit patrolling problem and efficiently solving for the optimized patrol strategy for each patrol officer shift. In order to implement the TRUSTS approach in real-world transit systems, the METRO mobile app presented in this paper is being developed to work with TRUSTS to (i) provide officers with real-time TRUSTS-generated patrol schedules, (ii) provide recovery from unexpected schedule interruptions that can occur in real-world patrolling domains, and (iii) collect valuable patrol data for system analysis. An innovation in transit system patrolling technology, the METRO mobile app is an online agent that interacts with the user as an interface between the patrol officer and TRUSTS. In this paper, we propose a demonstration of the TRUSTS system, composed of the TRUSTS and METRO app components, focusing on the mobile app for user interaction. Providing a brief overview of the problem setting being addressed and the system components, this demonstration showcases how the TRUSTS system works and enables successful and robust deployment in the Los Angeles Metro System.
Demo video: http://www.youtube.com/embed/_lUG08ODqTI
Game-theoretic Patrol Strategies for Transit Systems (Slideshow deck)Samantha Luber
An expensive and prevalent problem worldwide, fare evasion in proof-of-payment transit systems introduces a need for randomized patrol strategies that effectively deter fare evasion and maximize transit system revenue. The Tactical Randomizations for Urban Security in Transit Systems (TRUSTS) approach addresses this challenge by using Bayesian Stackelberg games to model the transit patrolling problem and efficiently solving for the optimized patrol strategy for each patrol officer shift. In order to implement the TRUSTS approach in real-world transit systems, the METRO mobile app presented in this paper is being developed to work with TRUSTS to (i) provide officers with real-time TRUSTS-generated patrol schedules, (ii) provide recovery from unexpected schedule interruptions that can occur in real-world patrolling domains, and (iii) collect valuable patrol data for system analysis. An innovation in transit system patrolling technology, the METRO mobile app is an online agent that interacts with the user as an interface between the patrol officer and TRUSTS. In this paper, we propose a demonstration of the TRUSTS system, composed of the TRUSTS and METRO app components, focusing on the mobile app for user interaction. Providing a brief overview of the problem setting being addressed and the system components, this demonstration showcases how the TRUSTS system works and enables successful and robust deployment in the Los Angeles Metro System.
Poster for our presentation on our Autonomous Robotic Arm that detects objects with an overhead camera, uses motion planning and reverse kinematics to retrieve objects, and places the objects in a bin. This project was done as part of the EECS 498 Autonomous Robotics Lab at the University of Michigan.
Poster for our presentation on our Web-controlled car project for EECS 373 at the University of Michigan. For our project, we soldered a FPGA board with an attached Wi-Fi chip to the remote of a remote-controlled toy car. The FPGA board opens a port and listens for control commands from a website. An on-board camera allows the web user to see from the car's perspective as he or she controls the car via the website.
A brief survey of approaches to using cognitive science artificial intelligence to achieve goals in both the cognitive science and artificial intelligence fields.
This is a paper on the AbioCor Heart System written by our five-person student group during a semester-long introductory engineering course for materials science engineering. The paper includes a detailed description on under which medical conditions the use of this device is appropriate, a description of alternatives and predecessors to the AbioCor Heart System, the components that make up the AbioCor System, and a design recommendation for improving the AbioCor System. I wrote this paper with a group of other undergraduate engineering students for an introductory engineering class focusing on material use in biomedical devices.
Slide deck on the AbioCor System presented by our student group for an introductory engineering course for biomedical and materials science engineering
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
Autonomous Band Project Writeup
1. Autonomous Band
EECS 498: Autonomous Robotics Laboratory
University of Michigan
Robert Bergen, Mark Isaacson, Sami Luber, and Zach Oligschalaeger
http://eecs498teammusic.webs.com/
Overview
For our EECS 498 Autonomous Robotics Lab Final Project, we created an autonomous
band, consisting of four robotic arms and two xylophones. An overhead camera is used to
detect music notes, which are parsed into music and sent to the robotic arm controller.
The arm controller uses motion planning to direct the arms to play notes while avoiding
arm collisions.
Autonomously reading and playing music is challenging because it requires building a
robust music-reading system, careful synchronization between the music reader and the
music player components, and motion planning between the arms to ensure notes are
played smoothly and without arm collisions. Described in detail in the Music Reading
section, our system continuously detects musical notes on the music board to allow users
to see their desired music change in real-time on the GUI. However, to allow the user to
set their desired song before playing it, the user controls when the new music is sent to
the music player. At this point, the music player discards previously sent music and clears
queued notes to accommodate the new music. Described in detail in the Music Playing
section, based on the number of available robotic arms, the music player component
schedules each robotic arm to play notes using motion planning to avoid arm collisions.
Music Reading
Representing Music
Our system strives to resemble real sheet music as much as possible. Notes are
represented by red circles, uniform in color and size. Users can set these notes as desired
on the music board. Furthermore, our system supports reading and playing all G-clef
notes (middle C - high G).
Camera Calibration
2. Our camera calibration calibrates by first detecting the four corners (marked by blue
squares) on the music board (the system pauses if more or less than four corners are
detected). Using the locations of the four corners, a homography is built to project notes
from camera pixel space to physical music board space with respect to the center of the
music board. Using knowledge of pre-defined line and stanza spacing to determine the
note value and time of each music note based on its physical (x,y) position on the music
board.
Detecting Notes
When detecting music, each stanza is scanned separately for music notes. We detect
music notes by using a Blob Detection algorithm. In the blob detection algorithm, there is
a color threshold for notes in which colors are represented using HSV (more robust in
environments with varying lighting). The blob detection algorithm is also blob size
sensitive. More specifically, there is a threshold range on how many pixels a blob must
be within to be considered a note. If a note blob is larger than expected, we assume there
are overlapping notes on the music board that are being detected as one large note blob.
Using the covariance matrix of the overlapping note blob and the expected size of a note,
we determine the configuration of the overlapping notes and how many notes the blob
should be broken into. The round shape of the notes is also important as it improves our
variance calculation accuracy when building the covariance matrix.
3. Once a note is detected, the note blob is projected from camera pixel space to physical
music board space. The note's value and time (within an eighth count from the beginning
of the stanza) are determined based on a position threshold on the (x,y) physical location
of the note on the music board. The time of the note is "snapped" (rounded) to the nearest
eighth count, so that the music flows more smoothly.
Finally, because our music reader actively reads music in real-time, our system is
sensitive to any changes made to the music note configuration on the music board. The
blob detection algorithm runs continuously and updates its parsed music based on any
changes to the note configuration.
Parsing Music
Once all notes in each stanza are detected, we preform auto-spacing on the notes for
"better sounding" music. More specifically, if there are three or four notes in a stanza,
regardless of the "snapped" times for each note, note times will be adjusted such that the
times are spread evenly across the stanza.
The music speed is also automatically adjusted for the robot's physical limit. In other
words, the music speed is slowed down enough to allow the robot arms ample time to
play each note. Using the system's GUI, the user can also further slow down the speed of
the music.
GUI and Music Transmission
As the music reader dynamically detects music, a GUI shows the user the currently
detected music notes, a camera feed of the actual music board, and the music currently
being played on the robot arms. This allows the user to adjust the notes on the music
board without interrupting the currently playing music, and then, once the user is satisfied
with the new music, send the new music to the robot arms to be played. Upon sending the
new music to the music player component, a clear message is sent that invalidates
previously sent music notes and clears the queue of current notes to be played (allowing
these notes to be replaced with the updated music). An adjustable bar on the GUI also
allows the user to change the speed of the music.
4. Music Playing
Overview
The music actuation component of the Rage with the Machine project featured four
robotic arms autonomously playing xylophones in conjunction and communication with
the vision component. Our system managed the planning, timing, and mechanical aspects
of playing a desired piece of music and was written to be expandable to meet our
resource budget.
Planning
Our planner served as a scheduler for our robotic arms. Each arm had its 'availability' to
play a note mapped out in what we called a Planner Line, which was a sequence of
actions to perform, each of which kept track of its start, 'hitting the key', and completion
times, which we calibrated with trial information from the mechanical component of the
project (see below). The planner would receive the sequence of notes it should play in an
LCM (Lightweight Communications and Marshaling) message and proceed to distribute
them to the Planner Lines via our arm allocation algorithm either by appending to the
existing song or erasing and starting anew. As we continued to work, our algorithm grew
more sophisticated to achieve our definition of optimality, which was maximizing the
number of notes we could play in a given period of time. We implemented this in the
following growth stages:
1. Query for the first free arm and use it to play the next note.
5. 2. Query for all free arms and use the closest one of them to the next note to play as
our choice.
3. To improve demoability by increasing the number of 'occupied' arms in a given
period of time, we modified our algorithm to query for all free arms, then all of
those which were tied for being closest to the next note, and finally chose the arm
to use at random from that list.
4. Use method 3 as a quick and almost always successful greedy choice, but upon
failure to add a note, achieve optimality by redistributing future notes via a branch
and bound family algorithm. The planner would then maintain a thread that
queried the Planner Lines to determine if they should play the note sitting at their
individual playheads and signal the proper arm's state machine to do so.
Arm Interface
Our arms were managed via an Arm class, which was responsible for knowing the
configuration space locations of positions corresponding to hitting every key on our
xylophones as well as positions directly above them and conducting smooth transitions
between them. It also abstracted the mirroring of arms and their various positions from
one side of a xylophone to the other.
The process of making these movements smooth and reliably accurate took a number of
design features to achieve. We had to establish a procedure that involved moving our
arms one joint at a time in specific and varying orders to prevent collisions and
unexpected behavior that arose by simply ordering the arm from place to place, a practice
which unfortunately increased the delay between playing notes consecutively. For the
purpose of achieving accuracy, we implemented extremely tight thresholds on what it
meant for an arm joint to have 'arrived' at a location.
The above system performed extremely well after tuning what it meant to be 'above' a
key to decrease playing delays; however, our system encountered issues regarding servo
overloads while attempting to sustain positions above keys at the edge of our arm's safe
operating range which required a combination of tactics to solve. We determined that by
lowering the maximum operating torque for a servo, we could allow it to last longer
under stress, and wrote it into our code to achieve this when an arm was idle for a
sufficiently long period of time. To achieve the best demoability and reliability for our
system, we further determined that it would be safest to not only lower torque after being
idle for long periods of time, but also to move the arm to a known safe position, above
6. the middle xylophone key. All of these tactics for sustainability were conducted blind to
the planner, abstracted away and allowed for new instructions at a moment's notice.
Mechanics
The portion of the system we found we had the greatest difficulty refining was our
mechanical interface with the xylophones. In the course of testing, we determined that in
order to affect a sound off of a xylophone, it was necessary to not merely hit a note and
release quickly with some artifact, but to pivot while doing so. After several design
iterations and trials, we developed a rig which consisted of a 3" x ¾" hex bolt with one-
degree-of-freedom for striking with a pivot to produce the appropriate ring from our
xylophones.
Once the rig was constructed, we also had to ensure that we could actuate the servos in
such a fashion that we could strike the key as intended. This required moving several
joints in quick succession, and was a process that we changed several times over the
course of development, and had the undesirable quality of often needing to be manually
fine tuned for specific keys, rather than be based off of some mathematical model and
adjustments. When we had settled on the motion of the arm, we ran a calibration program
that ran through every possible motion of the arm between our pre-programmed positions
and recorded the times taken over several trials for use in our planner.
Success
We view our system as a success. We were able to completely abstract the playing of
music in a reliable planner that was able to achieve optimal playing capacity. We were
able to play well known songs at a reasonable tempo with a relatively small number of
robotic arms. The limitations of our system were either due to our resource budget or a
consequence of being pressed for time. While our program could accommodate any
number of robotic arms (and therefore play more complex and interesting music), we
7. were limited by the number available, the space required for each arm (4 sq. ft.), and the
number of USB ports and number of AC power sockets (1 per arm). We could have
further improved our system by reducing delays between notes, but were constrained by
the amount of time it would've taken to find positions and movement patterns starting
from closer above each note that still produced quality sound, and in the same way were
limited from reducing servo overload issues by decreasing the operating radius of our
arms. These known issues stated, we did manage to find solutions to both within the
scope of programming, by making our planning algorithm optimal and our arms employ
effective safety protocols, and as such, these issues were voided by demonstration day,
and our system a success.