This video carries all the necessary instructions, in extremely simple and interactive way, required to program (i.e. update the embedded code of) Osmium MIMU22BT (with and without connected battery) using Atmel Studio 6.1 and AVR Dragon.
Programming Osmium MIMU4444 Using AVR Dragonoblu.io
This video carries all the necessary instructions, in extremely simple and interactive way, required to program (i.e. update the embedded code of) Osmium MIMU4444 using Atmel Studio 6.1 and AVR Dragon.
Massive Sensors Array for Precision Sensingoblu.io
More than a billion smartphones being sold annually and growing with CAGR of 16%, the smartphone industry has become a driving force in the development of ultralow-cost inertial sensors. Unfortunately, these ultra low-cost sensors do not yet meet the needs of more demanding applications like inertial navigation and biomedical motion tracking systems. However, by adapting a wisdom of the crowd’s thinking and design arrays consisting of hundreds of sensing elements, one can capitalize on the decreasing cost, size, and power-consumption of the sensors to construct virtual high-performance low-cost inertial sensors. Team at KTH, Sweden and WUSTL, USA share findings and challenges.
Despite being around for almost two decades, footmounted inertial navigation only has gotten a limited spread. Contributing factors to this are lack of suitable hardware platforms and difficult system integration. As a solution to this, we present an open-source wireless foot-mounted inertial navigation module with an intuitive and significantly simplified dead reckoning interface. The interface is motivated from statistical properties of the underlying aided inertial navigation and argued to give negligible information loss. The module consists of both a hardware platform and embedded software. Details of the platform and the software are described, and a summarizing description of how to reproduce the module are given. System integration of the module is outlined and finally, we provide a basic performance assessment of the module. In summary, the module provides a modularization of the foot-mounted inertial navigation and makes the technology significantly easier to use.
An Experimental Study on a Pedestrian Tracking Deviceoblu.io
The implemented navigational algorithm of an inertial
navigation system (INS), along with the hardware configuration, decides its tracking performance. Besides, operating conditions also influence its tracking performance. The aim of this study is to demonstrate robust performance of a multiple Inertial Measurement Units (IMUs) based foot-mounted INS, The Osmium MIMU22BTP, under varying operating conditions. The device, which performs zero-velocity-update (ZUPT) aided navigation, is subjected to different conditions which could potentially influence gait of its wearer, its hardware configuration etc. The gait-influencing factors chosen for study are shoe type, walking surface, path profile and walking speed. Besides, the tracking performance of the device is also studied for different number of on-board IMUs and the ambient temperature. The tracking performance of MIMU22BTP is reported for all these factors and benchmarked using identified performance metrics. We observe very robust tracking performance of MIMU22BTP. The average relative errors are less than 3 to 4% under all the conditions, with respect to drift, distance and height, indicating a potential for a variety of location based services based on foot mounted inertial sensing and dead reckoning.
Inertial Sensor Array Calibration Made Easy !oblu.io
Ultra-low-cost single-chip inertial measurement units (IMUs) combined into IMU arrays are opening up new possibilities for inertial sensing. However, to make these systems practical, calibration and misalignment compensation of low-cost IMU arrays are necessary and a simple calibration procedure that aligns the sensitivity axes of the sensors in the array is needed. Team at KTH suggests a novel mechanical-rotation-rig-free calibration procedure based on blind system identification and a platonic solid (Icosahedron) printable by a contemporary 3D-printer. Matlab-scripts for the parameter estimation and production files for the calibration device are made available.
This document provides an overview of the ATmega16/32 microcontroller, including its ports, pin descriptions, and how to write and burn code using AVR Studio and AVR OSP-2 or SINA PROG 2.1 programmers. It also demonstrates some common interfaces like LED blinking, LCD display, pulse width modulation, analog to digital conversion, and a keypad. Serial communication using USART is also explained with code examples provided.
The document provides an overview of the ATmega16 microcontroller and how to program it using AVR Studio and burn the code using AVR osp-2 or Sina Prog 2.1. It discusses the ports and pins of the ATmega16, writing code in AVR Studio, configuring AVR osp-2 to burn the code, and interfacing examples like LED blinking, LCD, ADC, and serial communication.
This document provides an overview of the ATmega16/32 microcontroller, including its ports, pin descriptions, and how to write and burn code using AVR Studio and AVR OSP-2 or SINA PROG 2.1 programmers. It also demonstrates some common interfaces like LED blinking, LCD display, pulse width modulation, analog to digital conversion, and a keypad. Serial communication using USART is also explained with code examples provided.
Programming Osmium MIMU4444 Using AVR Dragonoblu.io
This video carries all the necessary instructions, in extremely simple and interactive way, required to program (i.e. update the embedded code of) Osmium MIMU4444 using Atmel Studio 6.1 and AVR Dragon.
Massive Sensors Array for Precision Sensingoblu.io
More than a billion smartphones being sold annually and growing with CAGR of 16%, the smartphone industry has become a driving force in the development of ultralow-cost inertial sensors. Unfortunately, these ultra low-cost sensors do not yet meet the needs of more demanding applications like inertial navigation and biomedical motion tracking systems. However, by adapting a wisdom of the crowd’s thinking and design arrays consisting of hundreds of sensing elements, one can capitalize on the decreasing cost, size, and power-consumption of the sensors to construct virtual high-performance low-cost inertial sensors. Team at KTH, Sweden and WUSTL, USA share findings and challenges.
Despite being around for almost two decades, footmounted inertial navigation only has gotten a limited spread. Contributing factors to this are lack of suitable hardware platforms and difficult system integration. As a solution to this, we present an open-source wireless foot-mounted inertial navigation module with an intuitive and significantly simplified dead reckoning interface. The interface is motivated from statistical properties of the underlying aided inertial navigation and argued to give negligible information loss. The module consists of both a hardware platform and embedded software. Details of the platform and the software are described, and a summarizing description of how to reproduce the module are given. System integration of the module is outlined and finally, we provide a basic performance assessment of the module. In summary, the module provides a modularization of the foot-mounted inertial navigation and makes the technology significantly easier to use.
An Experimental Study on a Pedestrian Tracking Deviceoblu.io
The implemented navigational algorithm of an inertial
navigation system (INS), along with the hardware configuration, decides its tracking performance. Besides, operating conditions also influence its tracking performance. The aim of this study is to demonstrate robust performance of a multiple Inertial Measurement Units (IMUs) based foot-mounted INS, The Osmium MIMU22BTP, under varying operating conditions. The device, which performs zero-velocity-update (ZUPT) aided navigation, is subjected to different conditions which could potentially influence gait of its wearer, its hardware configuration etc. The gait-influencing factors chosen for study are shoe type, walking surface, path profile and walking speed. Besides, the tracking performance of the device is also studied for different number of on-board IMUs and the ambient temperature. The tracking performance of MIMU22BTP is reported for all these factors and benchmarked using identified performance metrics. We observe very robust tracking performance of MIMU22BTP. The average relative errors are less than 3 to 4% under all the conditions, with respect to drift, distance and height, indicating a potential for a variety of location based services based on foot mounted inertial sensing and dead reckoning.
Inertial Sensor Array Calibration Made Easy !oblu.io
Ultra-low-cost single-chip inertial measurement units (IMUs) combined into IMU arrays are opening up new possibilities for inertial sensing. However, to make these systems practical, calibration and misalignment compensation of low-cost IMU arrays are necessary and a simple calibration procedure that aligns the sensitivity axes of the sensors in the array is needed. Team at KTH suggests a novel mechanical-rotation-rig-free calibration procedure based on blind system identification and a platonic solid (Icosahedron) printable by a contemporary 3D-printer. Matlab-scripts for the parameter estimation and production files for the calibration device are made available.
This document provides an overview of the ATmega16/32 microcontroller, including its ports, pin descriptions, and how to write and burn code using AVR Studio and AVR OSP-2 or SINA PROG 2.1 programmers. It also demonstrates some common interfaces like LED blinking, LCD display, pulse width modulation, analog to digital conversion, and a keypad. Serial communication using USART is also explained with code examples provided.
The document provides an overview of the ATmega16 microcontroller and how to program it using AVR Studio and burn the code using AVR osp-2 or Sina Prog 2.1. It discusses the ports and pins of the ATmega16, writing code in AVR Studio, configuring AVR osp-2 to burn the code, and interfacing examples like LED blinking, LCD, ADC, and serial communication.
This document provides an overview of the ATmega16/32 microcontroller, including its ports, pin descriptions, and how to write and burn code using AVR Studio and AVR OSP-2 or SINA PROG 2.1 programmers. It also demonstrates some common interfaces like LED blinking, LCD display, pulse width modulation, analog to digital conversion, and a keypad. Serial communication using USART is also explained with code examples provided.
Advanced View of Atmega Microcontroller Projects List - ATMega32 AVR.pdfWiseNaeem
Most of the electronics geeks are asking the whole list of Atmega AVR projects PDF here we will share list every month as our projects are being updated on daily basis.
Android Platform Debugging and DevelopmentOpersys inc.
This document provides an overview of debugging and development tools for the Android platform. It discusses setting up the development environment in Android Studio and explores tools for observing system behavior like logcat and dumpsys. Symbolic debugging with gdb and ftrace for dynamic tracing are covered. The document also summarizes benchmarking tools and concludes by discussing challenges with systrace and perf on Android.
Android Platform Debugging and DevelopmentOpersys inc.
This document provides an overview and agenda for a presentation on Android platform debugging and development. It covers debugging architecture basics, setting up a development environment in Android Studio, tools for observing and monitoring apps and frameworks, interfacing with core Android components, working with AOSP sources, and dynamic data collection techniques like logging, strace, ftrace, and perf. Symbolic debugging with gdb/gdbserver and challenges with systrace/atrace are also discussed.
Android Platform Debugging and DevelopmentOpersys inc.
This document provides an overview of debugging and development tools for the Android platform. It begins with an introduction to Android architecture basics like hardware components, the Android Open Source Project (AOSP), and system services. It then discusses development environments, observing and monitoring tools for the native, framework, and app layers. The document also covers interfacing with the Android framework, working with AOSP source code, symbolic debugging, performance profiling, and benchmarking.
Android Platform Debugging and DevelopmentOpersys inc.
This document provides an overview of debugging and development for the Android platform. It discusses the architecture basics, setting up a development environment in Android Studio, tools for observing and monitoring the system like logcat and dumpsys, interfacing with the framework, working with AOSP sources, symbolic debugging with gdb and gdbserver, detailed dynamic data collection using tools like ftrace and perf, and benchmarking. The document also provides guidance on debugging challenges and lists additional topics like debuggerd, tombstones, and ANR traces.
Android Platform Debugging and DevelopmentKarim Yaghmour
This document provides an overview of debugging and development for the Android platform. It discusses the architecture basics, setting up a development environment in Android Studio, tools for observing and monitoring the system like logcat and dumpsys, interfacing with the framework, working with AOSP sources, symbolic debugging with gdb and gdbserver, detailed dynamic data collection using tools like ftrace and perf, and benchmarking. The document also provides guidance on debugging challenges and lists additional topics like debuggerd, tombstones, and ANR traces.
Advanced View of Atmega Microcontroller Projects List - ATMega32 AVR.pdfWiseNaeem
Most of the electronics geeks are asking the whole list of Atmega AVR projects PDF here we will share list every month as our projects are being updated on daily basis. PDF is a good source to work offline.
Advanced View of Atmega Microcontroller Projects List - ATMega32 AVR.pdfWiseNaeem
Most of the electronics geeks are asking the whole list of Atmega AVR projects PDF here we will share list every month as our projects are being updated on daily basis. PDF is a good source to work offline.
Advanced View of Atmega Microcontroller Projects List - ATMega32 AVR.pdfWiseNaeem
Most of the electronics geeks are asking the whole list of Atmega AVR projects PDF here we will share list every month as our projects are being updated on daily basis.
Advanced View of Atmega Microcontroller Projects List - ATMega32 AVR.pdfWiseNaeem
Most of the electronics geeks are asking the whole list of Atmega AVR projects PDF here we will share list every month as our projects are being updated on daily basis.
Android Platform Debugging and Development at ABS 2014Opersys inc.
This document provides an overview of Android platform debugging and development. It covers topics such as architecture basics, development environments, observing and monitoring systems, interfacing with frameworks, working with AOSP sources, symbolic debugging, and benchmarking. The agenda includes setting up IDEs like Eclipse for Android development, using tools to monitor processes and debug apps, integrating symbolic debuggers, and techniques for navigating the AOSP source code.
Ds03 part i algorithms by jyoti lakhanijyoti_lakhani
The document defines an algorithm as a finite sequence of unambiguous instructions to solve a problem and produce an output from given inputs. It notes that algorithms have advantages like being easy to plan, implement, understand and debug. The key aspects of algorithms discussed are that they must be step-by-step, unambiguous and able to solve problems in a finite amount of time. The document also discusses analyzing and choosing between algorithms, as well as designing, proving, coding and analyzing algorithms.
Android Platform Debugging and DevelopmentOpersys inc.
This document provides an overview of debugging and development tools for the Android platform. It discusses setting up the development environment in Android Studio and explores tools for observing system behavior like logcat and dumpsys. Symbolic debugging with gdb and gdbserver is covered as well as dynamic tracing tools like ftrace. The document concludes with suggestions for benchmarking and performance analysis.
The document provides instructions for getting started with the Garagino prototyping platform. It discusses connecting the Garagino to a USB/serial converter module and computer, downloading and configuring the Arduino IDE, and provides examples of blinking an LED connected to different pins to demonstrate programming and testing the Garagino.
Android Platform Debugging and DevelopmentOpersys inc.
This document provides an overview of debugging and development tools for the Android platform. It discusses setting up the development environment in Android Studio and exploring the AOSP source code. Various tools are described for observing system behavior like logcat, dumpsys, and profiling tools. Native debugging with gdb and gdbserver is covered as well as interfacing with framework services. The document concludes with benchmarking and performance analysis techniques.
Android Platform Debugging and Development at ELCE 2013Opersys inc.
This document provides an overview of debugging and development tools and techniques for the Android platform. It discusses the architecture basics, development environment setup in Eclipse, tools for observing and monitoring including logcat, dumpsys and ftrace. It also covers interfacing with the framework, symbolic debugging with DDMS and gdb, and detailed dynamic data collection using logging and profiling tools like perf.
This document provides an introduction to programming an Atmega microcontroller. It discusses the compilation and transfer process, including installing necessary tools. It then covers basic concepts like pins, ports, and bit manipulation. The document uses tutorials to demonstrate controlling an LED and reading inputs. It also introduces timers, ADC, UART serial communication, and peripherals like servos. An appendix provides reference information on bit operations and the pinout of an Atmega 168 microcontroller.
AVR Atmega16 based Projects List - ATMega32 AVR _ Atmega16 based Projects.pdfIsmailkhan77481
Most of the electronics geeks are asking the whole list of Atmega AVR projects PDF here we will share list every month as our projects are being updated on daily basis.
Android Platform Debugging and DevelopmentOpersys inc.
This document provides an overview and agenda for a presentation on Android platform debugging and development. It covers:
1. An introduction to Android architecture basics like hardware, AOSP, Binder and system services.
2. Setting up the development environment, including host/target systems, IDEs like Android Studio, and exploring the AOSP sources.
3. Tools for observing and monitoring at the native, framework and overall system level, including logcat, dumpsys, and third party apps.
4. Interfacing with the framework using commands like am, pm and wm, and service calls.
5. Tips for working with the AOSP source code using make targets and other build tools.
Multi Inertial Measurement Units (MIMU) Platforms: Designs & Applicationsoblu.io
There are typically three categories of multi-sensor systems. First, classical sensors system with different types of collocated sensors, e.g. a positioning system making use of a collocated inertial sensor, a pressure sensor and a GPS. Second, sensor joint systems wherein multiple same type of sensors coordinate to predict state of a system, e.g. estimating motion of a robotic or a human arm using multiple sensors attached to different positions, for capturing a versatile motion. The third kind of multi sensors system consists of collocated sensors with the same properties. The redundancy due to multiple sensors, results not only in enhanced noise performance of the system, but also allows the multi sensor system to achieve what single sensor system can not, e.g. a two dimensional array of accelerometers on a rigid circuit board can produce rotational information. On the one hand enhancing capabilities, shrinking size and reducing cost of MEMS sensors favor redundancy, but on the other hand data communication, processing and calibration compensation pose system level challenges.
The talk focused on technical merits of such multi-sensor systems. Talk covered the architecture of massive multi-IMU arrays with up to 288 measurement channels at 1 kHz, the engineering challenges associated with them including the requirements on on-node data processing, their merits and some applications.
IEEE IoT Tutorial - "Wearable Electronics: A Designer's Perspective"oblu.io
Sensors and batteries are the most important constituents of a wearable device. They can make or break the entire IoT system. Typically, a designer of wearable electronics pays less attention to the important issues of sensors’ performance, batteries, power management etc, during the design process. These issues are indeed fundamental to the success of a wearable device.
The half-day workshop covered fundamental design concepts revolving around sensors, calibration, batteries and power management. The instructors shared insights which they have gained through extensive industrial research and technology management.
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Advanced View of Atmega Microcontroller Projects List - ATMega32 AVR.pdfWiseNaeem
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There are typically three categories of multi-sensor systems. First, classical sensors system with different types of collocated sensors, e.g. a positioning system making use of a collocated inertial sensor, a pressure sensor and a GPS. Second, sensor joint systems wherein multiple same type of sensors coordinate to predict state of a system, e.g. estimating motion of a robotic or a human arm using multiple sensors attached to different positions, for capturing a versatile motion. The third kind of multi sensors system consists of collocated sensors with the same properties. The redundancy due to multiple sensors, results not only in enhanced noise performance of the system, but also allows the multi sensor system to achieve what single sensor system can not, e.g. a two dimensional array of accelerometers on a rigid circuit board can produce rotational information. On the one hand enhancing capabilities, shrinking size and reducing cost of MEMS sensors favor redundancy, but on the other hand data communication, processing and calibration compensation pose system level challenges.
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Sensors and batteries are the most important constituents of a wearable device. They can make or break the entire IoT system. Typically, a designer of wearable electronics pays less attention to the important issues of sensors’ performance, batteries, power management etc, during the design process. These issues are indeed fundamental to the success of a wearable device.
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Evolution of a shoe-mounted multi-IMU pedestrian dead reckoning PDR sensoroblu.io
Shoe-mounted inertial navigation systems, aka pedestrian dead reckoning or PDR sensors, are being preferred for pedestrian navigation because of the accuracy offered by them. Such shoe sensors are, for example, the obvious choice for real time location systems of first responders. The opensource platform OpenShoe has reported application of multiple IMUs in shoe-mounted PDR sensors to enhance noise performance. In this paper, we present an experimental study of the noise performance and the operating clocks based power consumption of multi-IMU platforms. The noise performances of a multi-IMU system with different combinations of IMUs are studied. It is observed that four-IMU system is best optimized for cost, area and power. Experiments with varying operating clocks frequency are performed on an in-house four-IMU shoe-mounted inertial navigation module (the Oblu module). Based on the outcome, power-optimized operating clock frequencies are obtained. Thus the overall study suggests that by selecting a well-designed operating point, a multi-IMU system can be made cost, size and power efficient without practically affecting its superior positioning performance.
This document describes the data processing flow in oblu. It also describes communication protocol using which one can access & control the data, set internal parameters and the processing at various stages, through an external
application platform.
---
Oblu is an opensource development board for wearable motion sensing. It is also an Arduino compatible programmable IMU for diverse inertial sensing applications. It comes pre-programmed as a shoe-mounted pedestrian dead reckoning PDR sensor for indoor navigation and personnel tracking. Real time tracking of first responders, robot navigation, geo-survey, understanding physics of motion, activity monitoring of elderly, gaming, VR etc are only few from the long list of applications which have been demonstrated using oblu.
Oblu is battery operable and uses Bluetooth Low Energy BLE for wireless data transmission. It is easily configurable and comes along with an Android application Xoblu for personnel tracking, a PC-based tool MIMUscope for detailed analysis and hardware accessories for ease of usage. It is based on opensource OpenShoe platform. Since beginning, Oblu has been distributed in 22 countries, to students, DIY enthusiasts, industrial & academic researchers, entrepreneurs etc. Oblu comes from the makers of Inertial Elements which is a famous for making multi-IMU array modules available commercially.
MIMUscope is a PC based tool for oblu's data acquisition, analysis, realtime viewing, logging etc. It is also used for modify some of the settings of oblu.
MIMUscope is coded in Python which is freely available for installation.
Oblu is an opensource development board for wearable motion sensing. It is based on opensource OpenShoe platform.
Application Note: Wireless Pedestrian Dead Reckoning with "oblu"oblu.io
This document contains the communication protocol between oblu (the PDR sensor) and its application platform.
Oblu is an opensource development board for wearable motion sensing. It is also an Arduino compatible programmable IMU for diverse inertial sensing applications. It comes pre-programmed as a shoe-mounted pedestrian dead reckoning PDR sensor for indoor navigation and personnel tracking. Real time tracking of first responders, robot navigation, geo-survey, understanding physics of motion, activity monitoring of elderly, gaming, VR etc are only few from the long list of applications which have been demonstrated using oblu.
Oblu is battery operable and uses Bluetooth Low Energy BLE for wireless data transmission. It is easily configurable and comes along with an Android application Xoblu for personnel tracking, a PC-based tool MIMUscope for detailed analysis and hardware accessories for ease of usage. It is based on opensource OpenShoe platform. Since beginning, Oblu has been distributed in 22 countries, to students, DIY enthusiasts, industrial & academic researchers, entrepreneurs etc. Oblu comes from the makers of Inertial Elements which is a famous for making multi-IMU array modules available commercially.
Abstract - Positioning is a fundamental component of human life to make meaningful interpretations of the environment. Without knowledge of position, human beings are like machines and have very limited capabilities to interact with the environment. Even machines in today’s world can be made smarter if positioning information is made available to them. Indoor positioning of pedestrians is the broad area considered in this thesis. A foot mounted pedestrian tracking device has been studied for this purpose. Systems which utilize foot mounted inertial navigation system has been in the literature for more than two decades. However very few real time implementations have been possible. The purpose of this thesis is to benchmark and improve the performance of one such implementation.
The Osmium MIMU22BTP simplifies foot-mounted Pedestrian Dead Reckoning (PDR). It enables superior tracking performance, offers ease of building applications and allows use of a simple interfacing application platform (like Android based phone) for tracking without using any pre-installed infrastructure like GPS, WiFi, Maps etc. It is the packaged version of the Osmium MIMU22BT and is utilized best for rapid prototyping and development of pedestrian navigation solutions. Form factor tailoring and price-performance optimization can be done for larger quantities.
Osmium MIMU22BT: A Micro Wireless Multi-IMU (MIMU) Inertial Navigation Moduleoblu.io
The Osmium MIMU22BT is a miniaturized MIMU based wireless inertial navigation module suitable for foot mounted indoor positioning and other applications based on wearable sensors. An on-board Bluetooth module provides a wireless data link. Presence of on-board floating point processing capability, along with four IMUs, makes navigational computation possible inside the module itself, which in turn results in very accurate tracking of wearer.
The Osmium MIMU4444, with 32 IMUs, is a massive inertial sensory array module with two mirrored 4x4 square IMU arrays. MIMU4444 is an ideal platform for carrying out research in motion sensing by using Sensor Fusion and Array Signal Processing methods. MIMU4444 is an easy to use and highly configurable hardware platform, serves the needs for niche applications, such as gait analysis, 3D motion capture, Structure from Motion (SfM) etc.
IPIN'14: Foot-Mounted Inertial Navigation Made Easyoblu.io
Despite being around for almost two decades, footmounted inertial navigation only has gotten a limited spread. Contributing factors to this are lack of suitable hardware platforms and difficult system integration. As a solution to this, we present an open-source wireless foot-mounted inertial navigation module with an intuitive and significantly simplified dead reckoning interface. The interface is motivated from statistical properties of the underlying aided inertial navigation and argued to give negligible information loss. The module consists of both a hardware platform and embedded software. Details of the platform and the software are described, and a summarizing description of how to reproduce the module are given. System integration of the module is outlined and finally, we provide a basic performance assessment of the module. In summary, the module provides a modularization of the foot-mounted inertial navigation and makes the technology significantly easier to use.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
From Natural Language to Structured Solr Queries using LLMsSease
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillLizaNolte
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
QA or the Highway - Component Testing: Bridging the gap between frontend appl...zjhamm304
These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
2. 2
Revision Revision Date Updates
1.0 15 Sep 2014 Initial Release of Programming Instruction Manual
1.1 27 Dec 2014 Minor changes in layout; Included details on connectors on AVR Dragon
1.2 14 Sep 2015 Updated with latest JTAG programming cable
1.3 28 Jan 2016 Updated for the firmware source
Revision History
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3. 3
Purpose & Scope
This document carries all the necessary instructions, in
extremely simple and interactive way, required to program (i.e.
update the embedded code of) Osmium MIMU22BT /
MIMU22BTP using Atmel Studio 6.2 and AVR Dragon.
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4. 4
Hardware & Software Requirement
• 64 bits computer with 4 GB SRAM and Windows 7 OS
• Atmel Studio 6.2 installed on computer
• AVR Dragon
• Osmium MIMU22BT / MIMU22BTP
• Osmium MIMU22BT’s JTAG cable
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5. Osmium MIMU22BT / MIMU22BTP
USB Micro B Connector
- For USB communication
- For powering up & battery charging
Power Slide Switch
ONOFF
JTAG
Connector
5
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6. 3. Click here to select
OpenShoe_runtime_framework
2. Dropdown menu
1. Go to home page of OpenShoe on SourceForge
6
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7. Click here to Download Snapshot
7
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8. Save the downloaded zip file in a separate directory
8
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[28Jan2016] We recommend downloading the zip folder from
our website inertialelements.com Support Resources
9. 1. Dropdown menu
2. Click here to select
Navitation_algorithms
9
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10. Click here to Download Snapshot
10
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11. Save the downloaded zip file in the same
Directory where the earlier one is saved
11
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[28Jan2016] We now recommend downloading the zip folder
from our website inertialelements.com Support Resources
12. Extract from zip files
(You may change folders’ names)
12
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19. Click here to select
Existing project
Select & right click on
Solution ‘Navigation _algorithms’
2. Click here
to add project
19
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20. 1. Go to this openshoe-framework*
2. Click here to Open
20
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33. Now include calibration file
3. Click here
to add
1. Select &
right click
Config
2. Select to Add
33
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34. Note: Name of the file must be
user_calibration_MIMU22BT.h
2. Click here
1. Select calibration file from
appropriate location
34
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36. Select & right click
OpenShoe_runtime_framework
2. Click here
to build
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37. You will be asked to save the
build. Ignore it by clicking
Cancel.
37
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38. 1. Note this on completion of build.
3. Click here to build complete solution
38
2. Ignore this particular error at this stage.
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39. You will be asked once again to save the build.
Ignore it by clicking Cancel.
39
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41. This is also worth your attention
41
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42. 42
1. Connect AVR Dragon with your computer
2. Connect MIMU22BT / MIMU22BTP with AVR Dragon using JTAG cable.
JTAG Cable
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AVR Dragon
Note: Power switch must be switched ON.
MIMU22BT / MIMU22BTP
Note that black
wire (GND) is
on your right.
Note JTAG
connector’s
position
Note JTAG connector’s Position
(details in the following slide)
Programming MIMU22BT / MIMU22BTP
43. 43
Note the orientation
Note JTAG
connector’s
Position
Details of Connectors on AVR Dragon
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44. 1. Click on Tools
2. Click on Device Programming
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