PPT Presentation for All Clear Diagnostics, Inc. to prospective investors that demonstrates how their product, ClearECG for MRI, fulfills unmet needs in what represents a very lucrative investment opportunity.
INPUT (DC)
Max.recommended DC power [W] 1250 1650 2200
Max. input DC voltage [V] 400 400 400
Max. input current [A] 10 10 10
MPPT voltage range [V] 55-380 55-380 55-380
Start input/output voltage [V]
DOE ITP – Industrial Wireless – WINA – Wi-Fi Sensors – Energy EfficiencyAlliance To Save Energy
Dr. Peter Fuhr
On Friday, September 25th, Alliance to Save Energy hosted “Smart Manufacturing: Modernization to Marketplace,” in the Rayburn House Office Building. This briefing, moderated by the Alliance’s Vice President of Programs, Jeffery Harris, explored the merits of smart technologies—including sensors and wireless controls—in a modern manufacturing environment.
Wireless Sensor Networks are networks that consists of sensors which are distributed in an ad hoc manner.
These sensors work with each other to sense some physical phenomenon and then the information gathered is processed to get relevant results.Wireless sensor networks consists of protocols and algorithms with self-organizing capabilities
PPT Presentation for All Clear Diagnostics, Inc. to prospective investors that demonstrates how their product, ClearECG for MRI, fulfills unmet needs in what represents a very lucrative investment opportunity.
INPUT (DC)
Max.recommended DC power [W] 1250 1650 2200
Max. input DC voltage [V] 400 400 400
Max. input current [A] 10 10 10
MPPT voltage range [V] 55-380 55-380 55-380
Start input/output voltage [V]
DOE ITP – Industrial Wireless – WINA – Wi-Fi Sensors – Energy EfficiencyAlliance To Save Energy
Dr. Peter Fuhr
On Friday, September 25th, Alliance to Save Energy hosted “Smart Manufacturing: Modernization to Marketplace,” in the Rayburn House Office Building. This briefing, moderated by the Alliance’s Vice President of Programs, Jeffery Harris, explored the merits of smart technologies—including sensors and wireless controls—in a modern manufacturing environment.
Wireless Sensor Networks are networks that consists of sensors which are distributed in an ad hoc manner.
These sensors work with each other to sense some physical phenomenon and then the information gathered is processed to get relevant results.Wireless sensor networks consists of protocols and algorithms with self-organizing capabilities
Motion sensing combo sensor is a very hot topic, both in terms of market potential and competition among the players. The growth of the applications of 6 and 9 degrees of freedom (DoF) devices is both pushing the leaders (STMicroelectronics, Bosch Sensortec and InvenSense) and their challengers (AKM, Kionix, mCube, Freescale, Alps, Kionix…) to develop innovative technical and manufacturing solutions, and, in parallel of course, to have the right patents to protect their inventions. What are the similarities and the differences in term of technical and manufacturing choices at the devices level ? What is the related patent situation?
OBJECTIVES OF THE REPORT
• Find the technical and manufacturing process similarities and differences of LSM9DS0, BMX055 and MPU-9250 9-axis IMU components.
• Identify key patents held by STMicroelectronics, Bosch Sensortec and InvenSense, and related to the target product features.
• Find the link between patented technological solutions and marketed products.
• Identify the potential infringing parties and help to find evidence of use.
• Identify potential risks of patent infringement and identify the patents which require a more in depth legal assessment.
KEY FEATURES OF THE REPORT
• Deep insight on technology data and manufacturing processes
• Comparative studies of product features (similarities & differences)
• Key patents related to the target product features per company
• Cross analysis of potential patent infringement risks
• Excel database with all patents analyzed in the report
Self-charging, Highly Accurate Insole-Based Health Trackers for Medical Grade...INVIZA® HEALTH
INVIZA® HEALTH generates power from piezoelectric, mechanical energy harvesting to enable its health and fitness sensor suite. In addition, by using multiple sensor's output data via software, i.e. "sensor fusion" INVIZA has learned to lower power overall sensor and electronics power consumption while simultaneously increasing health and fitness measured parameter's accuracy. This leads to the insole tracker's battery staying 100% full while the user obtains the most accurate data.
Sample MEMS Microphone Technology and Patent Infringement Risk AnalysisKnowmade
The MEMS Microphone will remain one of the fastest growing MEMS components due to existing and new opportunities. According to Yole Développement, the market will grow from $785M in 2013 to $1.65B by 2019. Shipments are expected to grow from 2.4B in 2013 to 6.6B units in 2019 which points to a market filled with opportunities for existing new players. Knowles is the dominant player with 61% market shares in 2013 and 58% in 2014. A decrease is again expected in the next years with new challengers entering the market: STMicroelectronics, OMRON, AAC Technologies, Infineon Technologies and InvenSense(Analog Devices).
The global market share of these 6 players account for more than 80% of MEMS Microphone market in 2014. These players are all developing innovative technical and manufacturing solutions and, in parallel of course, the right patents to protect their inventions.
In a patent infringement action, the potential sales volume plays a major role for assessing the damage award. Thereby, this study is naturally focused on the last MEMS Microphone components supplied by these market leaders and challengers: Knowles (S1157, iPhone 5S/6), ST/OMRON (MP45DT01), AAC/Infineon (SR595, iPhone 5S/6), InvenSense/ADI (ICS-43432).
This raises interesting questions: What are the similarities and the differences in term of technical and manufacturing choices at the devices level? What is the related patent situation? Knowmade and System Plus Consulting are joining their unique added value in order to combined technology and manufacturing analysis with patent claims understanding to highlight the risks
of patent infringement between Knowles, STMicroelectronics, OMRON, AAC Technologies, Infineon Technologies, Analog Devices and InvenSense in the field of MEMS Microphone. As the MEMS Microphone market is growing very fast, it is the right time now to understand what could happen between these companies and how to differentiate patents and claims compared to the other players.
KEY FEATURES OF THE REPORT
• Deep insight on technology data and manufacturing processes
• Comparative studies of product features
• Key patents related to the target product features per company
• Cross analysis of potential patent infringement risks
• Excel database with all patents analyzed in the report
OBJECTIVES OF THE REPORT
• Find the technical and manufacturing process similarities and differences of S1157, MP45DT01, SR595 and ICS-43432 MEMS Microphones.
• Identify key patents held by Knowles,STMicroelectronics, OMRON, AAC
Technologies, Infineon Technologies,Analog Devices and InvenSense, and
related to the target product features.
• Find the link between patentedtechnological solutions and marketed products.
• Discover the potential infringing parties and help to find evidence of use.
• Understand potential risks of patent infringement and identify the patents
which require a more in depth legal assessment.
MEMS microphone Patent Infringement April 2015 report published by Yole Devel...Yole Developpement
MEMS Microphone
Knowles, STMicroelectronics/OMRON, AAC Technologies/Infineon Technologies, InvenSense/Analog Devices
Market growth, challenged leader : patent battle can start
NOW IT’S TIME FOR PATENT BATTLE IN MEMS MICROPHONE BUSINESS
The MEMS Microphone will remain one of the fastest growing MEMS components due to existing and new opportunities. According to Yole Développement, the market will grow from $785M in 2013 to $1.65B by 2019. Shipments are expected to grow from 2.4B in 2013 to 6.6B units in 2019 which points to a market filled with opportunities for existing new players. Knowles is the dominant player with 61% market shares in 2013 and 58% in 2014. A decrease is again expected in the next years with new challengers entering the market: STMicroelectronics, OMRON, AAC Technologies, Infineon Technologies and InvenSense(/ Analog Devices).
The global market share of these 6 players account for more than 80% of MEMS Microphone market in 2014. These players are all developing innovative technical and manufacturing solutions and, in parallel of course, the right patents to protect their inventions.
In a patent infringement action, the potential sales volume plays a major role for assessing the damage award. Thereby, this study is naturally focused on the last MEMS Microphone components supplied by these market leaders and challengers: Knowles (S1157, iPhone 5S/6), ST/OMRON (MP45DT01), AAC/Infineon (SR595, iPhone 5S/6), InvenSense/ADI (ICS-43432).
This raises interesting questions: What are the similarities and the differences in term of technical and manufacturing choices at the devices level? What is the related patent situation? Knowmade (specialized in patent analysis) and System Plus Consulting (specialized in reverse engineering and reverse costing) are joining their unique added value in order to combined technology and manufacturing analysis with patent claims understanding to highlight the risks of patent infringement between Knowles, STMicroelectronics, OMRON, AAC Technologies, Infineon Technologies, Analog Devices and InvenSense in the field of MEMS Microphone. As the MEMS Microphone market is growing very fast, it is the right time now to understand what could happen between these companies and how to differentiate patents and claims compared to the other players.
This report provides an overview of technology data and manufacturing process of S1157, MP45DT01, SR595 and ICS-43432 MEMS Microphone components.
A comparative study of the technology and manufacturing process of these MEMS Microphone components has been performed in order to highlight the technical similarities and differences of the product features.
More information on that report at http://www.i-micronews.com/reports.html
Presentation from SIEPON Seminar on 20 April in Czech Republic, sponsored by IEEE-SA & CAG. Opinions presented by the speakers in this presentation are their own, and not necessarily those of their employers or of IEEE.
Driven by application diversification, IPDs (integrated passive devices) continue their promising
growth.
Today, miniaturization and integration are key drivers in electronic devices. This is even more critical in several consumer applications, where thinner devices mean higher integration levels, necessitating low-profile components.
More information on that report at http://www.i-micronews.com/reports.html
Advanced Packaging Role after Moore’s Law: Transition from Technology Node Er...Yole Developpement
The growing and diversifying system requirements have continued to drive the development of a variety of new package styles and configurations:
Small-form-factor
Lightweight technology
Low-profile technology
High-pin-count technology
High-speed technology
High Reliability
Improved thermal management
Lower cost
Fan-in WLP maintains its appeal as the package that can provide 2 unmatchable advantages:
• Reduced form factor
• Low cost
Demand is reaching available capacity
Technology innovation in fan-in WLP continues:
• Die size increases
• Bump pitch reduces
Foundry involvement is no longer a dent in fan-in WLP production
Increased activity of Chinese capital on the market
New applications are emerging while other are declining
• Disruptions also expected in the MEMS and CIS domains
• Internet of Things
Mobile sector is driving fan-in WLP production and growing
IoT is on the horizon and is expected to have a significant impact on fan-in packages and the packaging industry as a whole
Littelfuse Battery Fuel Gauge and I/O Port Protection SolutionsLittelfuse
Battery fuel gauge ICs are used in many consumer electronics and appliance applications. View the variety and benefits of Littelfuse solutions available for your application.
The recent winners of the Autodesk-sponsored Biomimicry Student Design Challenge come from the Art Institute of Isfahan in Iran. The team set out to use biomimicry-inspired design to reduce energy use in a building designed for Iran’s harsh desert climate. The result, inspired by the desert snail, is the Bio-Arch, which minimizes the surface area exposed to solar radiation with curved surfaces and shading. Learn more about their sustainable design approach and use of Autodesk® Ecotect® Analysis software to achieve winning results.
More Related Content
Similar to SAND - Small Autonomous Network Devices
Motion sensing combo sensor is a very hot topic, both in terms of market potential and competition among the players. The growth of the applications of 6 and 9 degrees of freedom (DoF) devices is both pushing the leaders (STMicroelectronics, Bosch Sensortec and InvenSense) and their challengers (AKM, Kionix, mCube, Freescale, Alps, Kionix…) to develop innovative technical and manufacturing solutions, and, in parallel of course, to have the right patents to protect their inventions. What are the similarities and the differences in term of technical and manufacturing choices at the devices level ? What is the related patent situation?
OBJECTIVES OF THE REPORT
• Find the technical and manufacturing process similarities and differences of LSM9DS0, BMX055 and MPU-9250 9-axis IMU components.
• Identify key patents held by STMicroelectronics, Bosch Sensortec and InvenSense, and related to the target product features.
• Find the link between patented technological solutions and marketed products.
• Identify the potential infringing parties and help to find evidence of use.
• Identify potential risks of patent infringement and identify the patents which require a more in depth legal assessment.
KEY FEATURES OF THE REPORT
• Deep insight on technology data and manufacturing processes
• Comparative studies of product features (similarities & differences)
• Key patents related to the target product features per company
• Cross analysis of potential patent infringement risks
• Excel database with all patents analyzed in the report
Self-charging, Highly Accurate Insole-Based Health Trackers for Medical Grade...INVIZA® HEALTH
INVIZA® HEALTH generates power from piezoelectric, mechanical energy harvesting to enable its health and fitness sensor suite. In addition, by using multiple sensor's output data via software, i.e. "sensor fusion" INVIZA has learned to lower power overall sensor and electronics power consumption while simultaneously increasing health and fitness measured parameter's accuracy. This leads to the insole tracker's battery staying 100% full while the user obtains the most accurate data.
Sample MEMS Microphone Technology and Patent Infringement Risk AnalysisKnowmade
The MEMS Microphone will remain one of the fastest growing MEMS components due to existing and new opportunities. According to Yole Développement, the market will grow from $785M in 2013 to $1.65B by 2019. Shipments are expected to grow from 2.4B in 2013 to 6.6B units in 2019 which points to a market filled with opportunities for existing new players. Knowles is the dominant player with 61% market shares in 2013 and 58% in 2014. A decrease is again expected in the next years with new challengers entering the market: STMicroelectronics, OMRON, AAC Technologies, Infineon Technologies and InvenSense(Analog Devices).
The global market share of these 6 players account for more than 80% of MEMS Microphone market in 2014. These players are all developing innovative technical and manufacturing solutions and, in parallel of course, the right patents to protect their inventions.
In a patent infringement action, the potential sales volume plays a major role for assessing the damage award. Thereby, this study is naturally focused on the last MEMS Microphone components supplied by these market leaders and challengers: Knowles (S1157, iPhone 5S/6), ST/OMRON (MP45DT01), AAC/Infineon (SR595, iPhone 5S/6), InvenSense/ADI (ICS-43432).
This raises interesting questions: What are the similarities and the differences in term of technical and manufacturing choices at the devices level? What is the related patent situation? Knowmade and System Plus Consulting are joining their unique added value in order to combined technology and manufacturing analysis with patent claims understanding to highlight the risks
of patent infringement between Knowles, STMicroelectronics, OMRON, AAC Technologies, Infineon Technologies, Analog Devices and InvenSense in the field of MEMS Microphone. As the MEMS Microphone market is growing very fast, it is the right time now to understand what could happen between these companies and how to differentiate patents and claims compared to the other players.
KEY FEATURES OF THE REPORT
• Deep insight on technology data and manufacturing processes
• Comparative studies of product features
• Key patents related to the target product features per company
• Cross analysis of potential patent infringement risks
• Excel database with all patents analyzed in the report
OBJECTIVES OF THE REPORT
• Find the technical and manufacturing process similarities and differences of S1157, MP45DT01, SR595 and ICS-43432 MEMS Microphones.
• Identify key patents held by Knowles,STMicroelectronics, OMRON, AAC
Technologies, Infineon Technologies,Analog Devices and InvenSense, and
related to the target product features.
• Find the link between patentedtechnological solutions and marketed products.
• Discover the potential infringing parties and help to find evidence of use.
• Understand potential risks of patent infringement and identify the patents
which require a more in depth legal assessment.
MEMS microphone Patent Infringement April 2015 report published by Yole Devel...Yole Developpement
MEMS Microphone
Knowles, STMicroelectronics/OMRON, AAC Technologies/Infineon Technologies, InvenSense/Analog Devices
Market growth, challenged leader : patent battle can start
NOW IT’S TIME FOR PATENT BATTLE IN MEMS MICROPHONE BUSINESS
The MEMS Microphone will remain one of the fastest growing MEMS components due to existing and new opportunities. According to Yole Développement, the market will grow from $785M in 2013 to $1.65B by 2019. Shipments are expected to grow from 2.4B in 2013 to 6.6B units in 2019 which points to a market filled with opportunities for existing new players. Knowles is the dominant player with 61% market shares in 2013 and 58% in 2014. A decrease is again expected in the next years with new challengers entering the market: STMicroelectronics, OMRON, AAC Technologies, Infineon Technologies and InvenSense(/ Analog Devices).
The global market share of these 6 players account for more than 80% of MEMS Microphone market in 2014. These players are all developing innovative technical and manufacturing solutions and, in parallel of course, the right patents to protect their inventions.
In a patent infringement action, the potential sales volume plays a major role for assessing the damage award. Thereby, this study is naturally focused on the last MEMS Microphone components supplied by these market leaders and challengers: Knowles (S1157, iPhone 5S/6), ST/OMRON (MP45DT01), AAC/Infineon (SR595, iPhone 5S/6), InvenSense/ADI (ICS-43432).
This raises interesting questions: What are the similarities and the differences in term of technical and manufacturing choices at the devices level? What is the related patent situation? Knowmade (specialized in patent analysis) and System Plus Consulting (specialized in reverse engineering and reverse costing) are joining their unique added value in order to combined technology and manufacturing analysis with patent claims understanding to highlight the risks of patent infringement between Knowles, STMicroelectronics, OMRON, AAC Technologies, Infineon Technologies, Analog Devices and InvenSense in the field of MEMS Microphone. As the MEMS Microphone market is growing very fast, it is the right time now to understand what could happen between these companies and how to differentiate patents and claims compared to the other players.
This report provides an overview of technology data and manufacturing process of S1157, MP45DT01, SR595 and ICS-43432 MEMS Microphone components.
A comparative study of the technology and manufacturing process of these MEMS Microphone components has been performed in order to highlight the technical similarities and differences of the product features.
More information on that report at http://www.i-micronews.com/reports.html
Presentation from SIEPON Seminar on 20 April in Czech Republic, sponsored by IEEE-SA & CAG. Opinions presented by the speakers in this presentation are their own, and not necessarily those of their employers or of IEEE.
Driven by application diversification, IPDs (integrated passive devices) continue their promising
growth.
Today, miniaturization and integration are key drivers in electronic devices. This is even more critical in several consumer applications, where thinner devices mean higher integration levels, necessitating low-profile components.
More information on that report at http://www.i-micronews.com/reports.html
Advanced Packaging Role after Moore’s Law: Transition from Technology Node Er...Yole Developpement
The growing and diversifying system requirements have continued to drive the development of a variety of new package styles and configurations:
Small-form-factor
Lightweight technology
Low-profile technology
High-pin-count technology
High-speed technology
High Reliability
Improved thermal management
Lower cost
Fan-in WLP maintains its appeal as the package that can provide 2 unmatchable advantages:
• Reduced form factor
• Low cost
Demand is reaching available capacity
Technology innovation in fan-in WLP continues:
• Die size increases
• Bump pitch reduces
Foundry involvement is no longer a dent in fan-in WLP production
Increased activity of Chinese capital on the market
New applications are emerging while other are declining
• Disruptions also expected in the MEMS and CIS domains
• Internet of Things
Mobile sector is driving fan-in WLP production and growing
IoT is on the horizon and is expected to have a significant impact on fan-in packages and the packaging industry as a whole
Littelfuse Battery Fuel Gauge and I/O Port Protection SolutionsLittelfuse
Battery fuel gauge ICs are used in many consumer electronics and appliance applications. View the variety and benefits of Littelfuse solutions available for your application.
The recent winners of the Autodesk-sponsored Biomimicry Student Design Challenge come from the Art Institute of Isfahan in Iran. The team set out to use biomimicry-inspired design to reduce energy use in a building designed for Iran’s harsh desert climate. The result, inspired by the desert snail, is the Bio-Arch, which minimizes the surface area exposed to solar radiation with curved surfaces and shading. Learn more about their sustainable design approach and use of Autodesk® Ecotect® Analysis software to achieve winning results.
Living Building Challenge is a philosophy, advocacy tool and certification program that addresses development at all scales. It is comprised of seven performance areas: Site, Water, Energy, Health, Materials, Equity and Beauty. These are subdivided into a total of twenty Imperatives, each of which focuses on a specific sphere of influence.
The purpose of the Living Building Challenge is straightforward – it defines the most advanced measure of sustainability in the built environment possible today and acts to diminish the gap between current limits and ideal solutions. Whether your project is a single building, a park, a college campus or even a complete neighborhood community, Living Building Challenge provides a framework for design, construction and the symbiotic relationship between people and all aspects of the built environment. Download the complete document to learn more.
Although the creation of art by computers, using generative
techniques, has produced a formidable body of work, the
creation of art by autonomous robots is relatively new, probably because the bottom-up approach deprives robots of the
processing power that today’s computers make available for
artistic creation. Computer-art algorithms usually consist of
two essential elements: a generative element that allows the
computer to create, and an aesthetic neural network that evaluates the quality of the work created and tells the computer what
to discard, and when a work of art is finished
A robotic system for interpreting images into painted artworkTev Tlov
We report on a robotic system that can physically produce paintings with a wide
range of artistic media such as acrylic paint on canvas. The system is composed of
an articulated painting arm and a machine-learning algorithm aimed at determining a
series of brushstrokes that will transfer a given electronic image onto canvas. An
artist controlling the system is able to influence the resulting art piece through choice
of various parameters, such as the palette, brush types and brushstroke parameters.
Alternatively, an artist is able to influence the outcome through varying the
algorithmic parameters and feedback of the learning algorithm itself. In these results,
a genetic algorithm used a painting simulation to optimize similarity between the
target and the source images.
Painterly interfaces for audiovisual performanceTev Tlov
This thesis presents a new computer interface metaphor for the
real-time and simultaneous performance of dynamic imagery and
sound. This metaphor is based on the idea of an inexhaustible,
infinitely variable, time-based, audiovisual “substance” which
can be gesturally created, deposited, manipulated and deleted
in a free-form, non-diagrammatic image space. The interface
metaphor is exemplified by five interactive audiovisual synthesis
systems whose visual and aural dimensions are deeply plastic,
commensurately malleable, and tightly connected by perceptuallymotivated mappings. The principles, patterns and challenges
which structured the design of these five software systems are
extracted and discussed, after which the expressive capacities of
the five systems are compared and evaluated.
Isaac Sukin
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Filed Under: Atlanta, Drupal, Modules, Social NetworkingJul.14, 2010
Yesterday night I gave a presentation on Social Networking in Drupal at the Atlanta Drupal Users Group meetup. Grab the slides or watch the video!
The presentation was based on one I gave at DrupalCamp South Carolina/LinuxFest SouthEast.
Also check out the demo site! (Update: the demo site has been taken down.)
For new buildings, the recast fixes 2020 as the deadline for all new buildings to be
“nearly zero energy” (and even sooner for public buildings – by the end of 2018). For
existing buildings, Member States are required to draw up national plans to increase the
number of nearly zero energy buildings, though no specific targets have been set.
However, the Directive does not clearly define what a “nearly zero energy building” is,
either for new build or refurbishment of existing buildings. Article 2(1a) gives a purely
qualitative definition:
A “nearly zero energy building” is a building that has a very high energy
performance. The nearly zero or very low amount of energy required should be
covered to a very significant extent by energy from renewable sources, including
energy from renewable sources produced on-site or nearby.
A zero net energy building is one that is optimally
eicient and, over the course of a year, generates energy
onsite, using clean renewable resources, in a quantity
equal to or greater than the total amount of energy
consumed onsite. he Task Force recognizes, however,
that currently, and even by 2030, certain buildings
will not be able to meet the deinition of zero net
energy for technological or economic reasons (or both).
herefore, the Task Force strongly recommends that
where zero net energy is truly not feasible, buildings
in Massachusetts should reduce energy loads to the
minimum practical level, produce onsite as much of the
required energy as reasonable rom renewable resources,
and purchase locally generated renewable energy to
satisfy remaining needs.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
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/
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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
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.
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.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
SAND - Small Autonomous Network Devices
1. Miniature wireless sensor devices
Martin Ouwerkerk - Research
Healthcare Devices & Instrumentation / Storage Signal Processing
Small Autonomous Network Devices
11/10/2005
2. Small Autonomous Network Devices OPUS2002-298
Offering:
- A generic platform for unnoticeable unobtrusive
sensing with reconfigurable modular miniature
wireless sensor devices
- Energy scavenging together with ultra low power
technologies enable long to infinite operation times
- Roadmap to truly small devices
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 3
3. cap
Exploded view
SAND package
SAND modules
battery
battery compartment
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 15
4. Features
• Lego like snap-on building blocks
• Easily reconfigurable
• Outside of building blocks forms hermetic package
• Li battery in bottom module
• PV module on top
• Antenna printed on outside of PCB
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 confidential 11
5. Stackable module carrier rings: SAND package
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 confidential 12
6. Available modules for SAND
power converter
Zigbee transceiver
3D accelerometer CC2500 transceiver
1 Mbit flash
empty module carrier ring
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 confidential 14
7. All modules ready to form a stack together with caps, battery
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005
8. High end, niche
Application evolution
Dedicated, autonomous
Medical, oil drilling,
space, top sport
Sport, healthcare, TPM
Smart Dust, autonomous
Application Development Fitness, ambient Intelligence, distributed,
emotion assessment, fatigue
Optimized application oriented SAND nodes
3D integrated micro-SAND nodes
6 x 14 mm O
3 x 8 mm O
0.5 x 7 mm O
Size
2005 2006 2007 2008 2009 2010 2011
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 17
9. End-user consortium
The first generation SAND platform will serve an
end-user consortium of about 15 members.
-a limited number of large parties, such as
Homelab, WUR, WASP, Aquisgrain
-a larger number of specific application driven
users, such as ILSA, MyHeart, Implantables,
Lighting controlls, VIBES, …
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005
10. Crossbow Mica2Dot
10000
Phii
lps
1000
C rossbow
100 Intel
3
mm
10
1
0.1
2000 2005 year 2010 2015
Philips
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 18
11. Modules in preparation(when available)
Microprocessor CoolfluxDSP (Q4/05) PCH7970(Q4/05)
Energy scavenging PV (Q4/06) Vibration (Q4/06)
Battery Li button primary(now) Lithilene rechargeable (Q4/05)
3-D accelerometer Electric field Magnetic
(now) sensor(now) sensor(Q4/05)
Sensors
CMOS camera Temperature Humidity
(Q4/05) (Q4/05) (Q1/06)
Wireless ULP radio(Q4/05) Zigbee/802.15.4 (now)
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 19
12. CoolFlux DSP architecture
flow
JTAG interupt
• Full 24/56 bit datapath
debug module control program memory
handler instruction unit
(CF6-24)
fetch unit
halt run
data address logic
instruction pipeline
• 2 24x24 bit multipliers generator X interlock
and
loop control unit logic
instruction decoders
• 2 56 bit ALUs data address
generator Y data
• 56 bit accumulators register files processing
unit
addresses
• 16 and 20 bit datapaths 0 source and
result busses
1
can also easily be generated m
external M0
• JTAG debug interface I/O space
external DMA
bus arbiters
data
• I2C interface access P
external DMA
bus control unit 0
1
M1
• UART interface access X, Y
n
ALU0
• SPI interface
write back buffers
X Y ALU1
data memory
control ALU2
X Y busses
Health care Devices & Instrumentation /
Source: Philips Applied Technologies Leuven Storage Signal Processing Martin
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 Ouwerkerk 21/04/2005 20
13. Optimisation of power consumption according to the various relevant
parameters: voltage, capacitor, switching activity.
•Voltage
–Comparison 0.7Volt & 0.9Volt technology (for the core)
–Available memory technologies at 0.9Volt
•Capacitor
Technology comparison between CMOS 180, 130 & 90 nm
including process options
•Switching activity
–Clock distribution and clock gating (micro clock gating for DSP core
and macro clock gating for peripherals)
–Memory power switching
Health care Devices & Instrumentation /
Source: Philips Applied Technologies Leuven Storage Signal Processing Martin
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 Ouwerkerk 21/04/2005 26
14. 1G 10pJ/instr
100pJ/instr
100M 1000pJ/instr
Microcontroller 10M
comparison
1M Coolflux
IPS
MSP430
Atmel AT89LP
100k LPC3000
PCH7970
10k HTC80C51
XemicsXE88LCO
EM6607
1k
1µ 10µ 100µ 1m 10m 100m 1
Watt
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005
15. 1M Power Consumption in Idle mode
Microcontroller 100k
Coolflux
MSP430
comparison PCH970
EM6607
AtmelAt89LP
Memory [Bytes]
10k
1k
100
10
1µ 10µ 100µ 1m 10m
Watt
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005
16. CoolfluxDSP compared for various technologies
640 μW @ 10 MHz, 8instr/cycle 8 pJ/instruction
CMOS 90 nm CMOS 130 nm CMOS 180 nm
Core Area (mm2) 0.23 0.43 0.65
Memory area (mm2) 3.34 6.8 16
Leakage (μW) 14 170 4
Power consumption
640 1000 1300
at 10 MHz (μW)
Source: Philips Applied Technologies Leuven
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 27
17. The PCBs are put on the rings, which themselves
Transceiver PCB are put on top of each other being connected via
a “bus” of connectors (which I think could act as a
groundplane)
End of antenna
The antenna is printed on the outside of the
connnectors (see left photograph)
On the lower right corner you can see an artist
impression of how the final system should look
like. From this picture you can see that the
antenna strip is around the connector bus
(probably the groundplane). Depending on the
position of the ring with the transceiver PCB (and
the antenna) the connectors stick below, above or
both.
Start of antenna holes for the connectors
24 connectors (conductors) form a bus through the system,
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005
Artist impression 1
18. Wireless options
Bluetooth Ph. Semiconductors BGB203 8 x 7 x 1.3 mm 33 mA @ 2.65 .. 3.4 V 2.4 GHz
Zigbee Chipcon CC2420 7 x 7 x 0.85 mm 19.7 mA @ 2.1 .. 3.6 V 2.4GHz
Zigbee Ember EM2420 7 x 7 x 0.85 mm 19.7 mA @ 2.1 .. 3.6 V 2.4GHz
ULP wireless PRL Redhill < 1cm2 1 mW 0.868GHz
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 43
19. Photovoltaic energy scavenging: indoor light
24V 6.7A halogen lamp
10.0000
indoor
1.0000
Max_P_mW/cm2
poly_big
0.1000 Si
Eno
GaAs
0.0100 AM_1
AM_2
poly_small
0.0010
0.0001
100 1000 10000 100000
Lux
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 30
20. Photovoltaic energy scavenging: indoor light
0.1..1 mW out of 1.3 cm2 when using single crystalline Si
Conversion to 4.2V battery charging voltage at 70% efficiency
70-700 μW average power to device
Autonomous operation only with a duty cycle
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 31
21. Duty cycled operation
200 μW average power budget available:
Processing at 640 μW: 10%………….... 64μW
Transmission at 50 mW: 0.1%….……... 50μW
Leakage and self discharge:89.9%……. 36μW
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 32
22. Energy storage
Lithylene battery: rechargeable Li-polymer
Size: 13 mm diameter by 1.5 mm height (0.2 cm3)
Capacity: 22 mAh at 3.6V (285 J) @ 200μW means 400 hours
Primary Li Battery:
CR1225: 48 mAh at 3V @ 200μW means 1 month
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 33
23. Sensors: 3-D accelerometer
13 mm
Kionix KXM52-1050 TriaxisXYZ
+/- 2g range
1.5mA at 3V
0-1500Hz
5 x 5 x 1.8 mm
MAX1239 2-bit ADC
Other options:
Bosch Triax SMB360
Oki ML8950
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 35
24. Sensors: 3-D accelerometer
Kionix KXM52-1050 TriaxisXYZ
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 35
25. Sensors: 3-D accelerometer
Kionix KXM52-1050 TriaxisXYZ
Requirement Kionix
Capability
Small package size 5x5x1.8mm
Low noise 35-65 µg/RtHz
Vdd 2.5-5.5V
Idd@3V 1.5mA
Power management <10 µA
Start up time <2 mSec
High shock tolerance >4600g
Operating -40 to +125C
temperature
Configurations Single, dual or tri-
axis
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 35
26. Sensors: Electric field sensor
ECG measurement through the clothing
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 36
27. Schematics electric field sensor
229_2970.jpg
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 37
28. Sense Chair
True unnoticeable HRV monitoring
array of 8 contactless ECG sensors built into this chair
Picture from Montis
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 40
29. Electronic textiles/CONTEXT (together with TNO)
Conductive patches woven into cloth
Possibility of shielding layers
Conductive lines lead to multiplexer
Optimal combination is connected to amplifiers/filters
Status LEDs can be incorporated
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 41
30. ECG analysis: Heart Rate Variability
Cepstrum to quantify level of short-term periodicity
Changes in the cepstrum signal may be linked to
emotional and/or awareness changes
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 42
31. Epilepsy attack warning system
EEG Capacitative probes
3-D accelerometers
torso
Coolflux DSP
wrists Mobile phone
transceiver internet
head
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 53
32. Epilepsy attack warning system
EEG Capacitative probes
3-D accelerometers
torso
Coolflux DSP
wrists Mobile phone
transceiver internet
head
Health care Devices & Instrumentation / Storage Signal Processing Martin Ouwerkerk 11/10/2005 53