MAKING SENSE OF IOT DATA W/ BIG DATA + DATA SCIENCE - CHARLES CAIBig Data Week
Charles Cai has more than two decades of experience and track records of global transformational programme deliveries – from vision, evangelism to end-to-end execution in global investment banks, and energy trading companies, where he excels at designing and building innovative, large scale, Big Data systems in high volume low latency trading, global Energy Trading & Risk Management, and advanced temporal and geospatial predictive analytics, as Chief Front Office Technical Architect and Head of Data Science. He’s also a frequent speaker at Google Campus, Big Data Innovation Summit, Cloud World Forum, Data Science London, QCon London and MoD CIO Symposium etc, to promote knowledge and best practice sharing, with audience ranging from developers, data scientists, to CXO level senior executives from both IT and business background. He has in-depth knowledge and experience Scala, Python, C# / F#, C++, Node.js, Java, R, Haskell programming languages in Mobile, Desktop, Hadoop/Spark, Cloud IoT/MCU and BlockChain etc, and TOGAF9, EMC-DS, AWS CNE4 etc. certifications.
University of florida 3 d lapidary scanner 110614Robert Harker
The subject invention pertains to an apparatus and method for collecting 2-D data slices of a specimen. Embodiments can incorporate a lapidary platen and an image recording system to image a specimen. The lapidary wheel platen can provide an imaging plane such that an image can be taken as the lapidary wheel platen abrades a surface of the specimen. A specimen mount can maintain the surface of the specimen properly aligned in the image plane. The imaging system can be a continuous recording system such as a video camera, a discrete recording system such as a flatbed scanner, or combinations of continuous and discrete recording systems to simultaneously collect two distinct data sets. The 2-D data set(s) can then be processed to create intricate 3-D color models.
MAKING SENSE OF IOT DATA W/ BIG DATA + DATA SCIENCE - CHARLES CAIBig Data Week
Charles Cai has more than two decades of experience and track records of global transformational programme deliveries – from vision, evangelism to end-to-end execution in global investment banks, and energy trading companies, where he excels at designing and building innovative, large scale, Big Data systems in high volume low latency trading, global Energy Trading & Risk Management, and advanced temporal and geospatial predictive analytics, as Chief Front Office Technical Architect and Head of Data Science. He’s also a frequent speaker at Google Campus, Big Data Innovation Summit, Cloud World Forum, Data Science London, QCon London and MoD CIO Symposium etc, to promote knowledge and best practice sharing, with audience ranging from developers, data scientists, to CXO level senior executives from both IT and business background. He has in-depth knowledge and experience Scala, Python, C# / F#, C++, Node.js, Java, R, Haskell programming languages in Mobile, Desktop, Hadoop/Spark, Cloud IoT/MCU and BlockChain etc, and TOGAF9, EMC-DS, AWS CNE4 etc. certifications.
University of florida 3 d lapidary scanner 110614Robert Harker
The subject invention pertains to an apparatus and method for collecting 2-D data slices of a specimen. Embodiments can incorporate a lapidary platen and an image recording system to image a specimen. The lapidary wheel platen can provide an imaging plane such that an image can be taken as the lapidary wheel platen abrades a surface of the specimen. A specimen mount can maintain the surface of the specimen properly aligned in the image plane. The imaging system can be a continuous recording system such as a video camera, a discrete recording system such as a flatbed scanner, or combinations of continuous and discrete recording systems to simultaneously collect two distinct data sets. The 2-D data set(s) can then be processed to create intricate 3-D color models.
Internet of Things and the Value of Tracking EverythingPaul Barsch
This presentation was given to an executive MBA session at UCSD in April 2016. The session reviewed big data, internet of things, and how companies are gaining value from location, sensor, manufacturing and other data to make better business decisions.
A brief Introduction
What is solid waste? How many cats it has and what is the current situation of Karachi city
How we manage it
possible solutions
New method to approach the solution.
How Singapore is Paving the Way for Global Smart CitiesSolace
Singapore is at the leading edge of global smart city initiatives and is a good deal of the way along the path to truly transforming the “city nation” for the benefit of its citizens and the redefinition of its government. Everything is on the table for reinvention in Singapore from smart transportation to smart energy to smart buildings to how its citizens receive smarter healthcare.
But what is a “smart city”? A smart city uses technology to deliver services, uses technology to reduce costs for service providers and uses technology to allow citizens to improve the running of the city. With sensors planted measuring everything from traffic to street lights, Singapore has deep insights into the lessons in IoT deployment and delivery on a truly large scale.
On October 13th, 2016 at the Internet of Things Developer meetup, Sumeet Puri presented a social and technical perspective on the Singapore smart cities initiative from two viewpoints: his role as an architect of several Singapore Smart City projects and as a resident of Singapore living through the transformation of his surroundings. Sumeet will share stories about Singapore’s efforts, and give us insights into the technical decisions needed to make this a reality. Sumeet will talk about architecting for IoT at scale, lessons learned from the Singapore Smart City Initiatives and the response of the public to these changes.
2018 GIS in the Rockies Vendor Showcase (Wed): Laser GIS for Everyone Elimina...GIS in the Rockies
Learn about the new laser offset mapping workflow within Esri Collector for ArcGIS. Understanding how the rapid advances in GIS technology have created an opportunity for
you to do more with less. By integrating lasers with smart devices, mobile mapping apps and GPS/GNSS devices that you might already own, you can maximize productivity with an immediate ROI. The variety of measurement functions laser rangefinders can provide will allow you to complete field tasks quicker and safer.
In this presentation, Harsha introduces IoT and talks about various trends shaping the world today. He feels that smart cities is where the innovation will happen since it is driven by human migrating in large numbers to cities.
Get Cloud Resources to the IoT Edge with Fog ComputingBiren Gandhi
Fog Computing as a foundational architectural concept for Internet of Things (IoT) and Internet of Everything (IoE).
Embedded devices in the IoT are hampered by the compute, storage, and service limitations of living life on the edge. As IoT edge devices comprise broader sensor networks for industrial automation, transportation, and other safety critical applications, their high uptime requirements are nonnegotiable and service latencies must be kept within realtime or near real time parameters. However, the size, weight, power, and cost constraints of edge platforms also inhibit the ondevice resources available for executing such functions. In this session, Gandhi will introduce Fog Computing, a new paradigm for the IoT that extends compute, storage, and application resources from the cloud to the network edge. Beyond the interplay between Fog and Cloud, Gandhi will show how Fog services can be leveraged across a range of heterogeneous platforms—from end user devices and access points to edge routers and switches—through software technology that facilitates the collection, storage, analysis, and fusion of data to drive success in your next IoT device deployment.
Connecting Everything Vital to Sustainability
Mobile network evolution has followed a reasonably predictable path almost entirely focused on the needs of human communication. The transition from 1 to 2G was dictated by the economics of reliability, performance, and scale, whilst 3, 4, and 5G saw the transition to mobile computing with full internet access, AI and an ever-expanding plethora of applications. But 5G could be the end of the line as cell-site energy demands have become excessive at ~10kW.
Midway between the migration from 4G to 5G, M2M and the IoT machines overtook the human population of 8Bn people with near (estimated) 20Bn devices. Current IoT growth rates suggest a 40 - 60Bn population by 2030 to 2050. However, we present evidence that it could be far more ~ 1,000Bn ‘Things’. This is based on the observation of the number of IoT components populating modern vehicles, homes, offices, factories and plants, along with smart ‘human implants’ and ‘smart bolts’ plus the instrumentation of civil; structures.
The bold assumption that 5G would be a dominant player in the IoT is now patently one of naivety and the world has become far more complex with over 10 wireless standards currently in use. So, this poses the question; will 6G rise to the challenge? We see this as highly unlikely as the diversity of need is extremely broad, and we propose that it could be the end of tower based networks for a lot of applications. A migration to mesh-nets, UWB and (Hyper Wide Band) for the IoT at frequencies above 100GHz seems the most obvious engineering choice as it allows for far simpler designs with extremely low power at sub $0.01/device cost. 5G is already on the margins of being sustainable, and a ‘more-of-the-same’ thinking 6G can lonely be far worse!
IoT growth forecasts currently tend to span 30 – 60 Bn ‘Things’ by 2030. However, this ignores the central IoT role in realising sustainable societies where raw materials and component use have to see very high levels of reuse, repurposing, and recycling. In such a world almost everything we possess and use will have to be tagged and be electronically addressable as a part of the IoT. Such a need immediately sees growth estimates of 2Tn or more over the span of Industry 4 and 5. On the basis of energy demands alone, it is inconceivable that the technologies of BlueTooth, WiFi, 4, 5, and 6G could support such demand, and nor are the signaling and security protocols viable on such a scale.
The evolution of the IoT will therefore most likely see a new form of dynamic network requiring new lightweight protocols employing very little signal processing, together with very low energy wireless technologies (in the micro-Watt range) operating over extremely short distances (~10m). This need might be best satisfied by a new form of ‘Zero Infrastructure Mesh Networks’ that engage in active resource sharing, lossy probabilistic routing, and cyber security realised through an integrated ‘auto-immunity’ system. Ultimately, we might also envisage data amalgamation at key nodes that have a direct connection into the internet along with an additional layer of cyber checks and protection.
We justify the above assertions by illustrating the energy and network limitations of today’s 5G networks and those already obvious in current 6G proposals. We then go on to detail how a suitable IoT MeshNet might be configured and realised, along with a few solutions and emergent outcomes on the way.
Autonomous Vehicles: the Intersection of Robotics and Artificial IntelligenceWiley Jones
Autonomous Vehicle Webinar. Crash course in AVs: high-level overview, technology deep-dives, and trends. Follow me on Twitter at https://twitter.com/wileycwj.
Link to YouTube Video: https://www.youtube.com/watch?v=CruCp6vqPQs
Google Slides: https://docs.google.com/presentation/d/1-ZWAXEH-5Xu7_zts-rGhNwan14VH841llZwrHGT_9dQ/edit?usp=sharing
Develop and commercialize a propietary real-time location system (RTLS) using standard protocols to remotely monitor and control a wide variety of assets within defined wireless networks.
Zia’s vision is to be the leading innovative RTLS provider in the Retail, Security, Construction, Health Care, Transportation, and other target markets where asset tracking and monitoring is critical.
Internet of Things and the Value of Tracking EverythingPaul Barsch
This presentation was given to an executive MBA session at UCSD in April 2016. The session reviewed big data, internet of things, and how companies are gaining value from location, sensor, manufacturing and other data to make better business decisions.
A brief Introduction
What is solid waste? How many cats it has and what is the current situation of Karachi city
How we manage it
possible solutions
New method to approach the solution.
How Singapore is Paving the Way for Global Smart CitiesSolace
Singapore is at the leading edge of global smart city initiatives and is a good deal of the way along the path to truly transforming the “city nation” for the benefit of its citizens and the redefinition of its government. Everything is on the table for reinvention in Singapore from smart transportation to smart energy to smart buildings to how its citizens receive smarter healthcare.
But what is a “smart city”? A smart city uses technology to deliver services, uses technology to reduce costs for service providers and uses technology to allow citizens to improve the running of the city. With sensors planted measuring everything from traffic to street lights, Singapore has deep insights into the lessons in IoT deployment and delivery on a truly large scale.
On October 13th, 2016 at the Internet of Things Developer meetup, Sumeet Puri presented a social and technical perspective on the Singapore smart cities initiative from two viewpoints: his role as an architect of several Singapore Smart City projects and as a resident of Singapore living through the transformation of his surroundings. Sumeet will share stories about Singapore’s efforts, and give us insights into the technical decisions needed to make this a reality. Sumeet will talk about architecting for IoT at scale, lessons learned from the Singapore Smart City Initiatives and the response of the public to these changes.
2018 GIS in the Rockies Vendor Showcase (Wed): Laser GIS for Everyone Elimina...GIS in the Rockies
Learn about the new laser offset mapping workflow within Esri Collector for ArcGIS. Understanding how the rapid advances in GIS technology have created an opportunity for
you to do more with less. By integrating lasers with smart devices, mobile mapping apps and GPS/GNSS devices that you might already own, you can maximize productivity with an immediate ROI. The variety of measurement functions laser rangefinders can provide will allow you to complete field tasks quicker and safer.
In this presentation, Harsha introduces IoT and talks about various trends shaping the world today. He feels that smart cities is where the innovation will happen since it is driven by human migrating in large numbers to cities.
Get Cloud Resources to the IoT Edge with Fog ComputingBiren Gandhi
Fog Computing as a foundational architectural concept for Internet of Things (IoT) and Internet of Everything (IoE).
Embedded devices in the IoT are hampered by the compute, storage, and service limitations of living life on the edge. As IoT edge devices comprise broader sensor networks for industrial automation, transportation, and other safety critical applications, their high uptime requirements are nonnegotiable and service latencies must be kept within realtime or near real time parameters. However, the size, weight, power, and cost constraints of edge platforms also inhibit the ondevice resources available for executing such functions. In this session, Gandhi will introduce Fog Computing, a new paradigm for the IoT that extends compute, storage, and application resources from the cloud to the network edge. Beyond the interplay between Fog and Cloud, Gandhi will show how Fog services can be leveraged across a range of heterogeneous platforms—from end user devices and access points to edge routers and switches—through software technology that facilitates the collection, storage, analysis, and fusion of data to drive success in your next IoT device deployment.
Connecting Everything Vital to Sustainability
Mobile network evolution has followed a reasonably predictable path almost entirely focused on the needs of human communication. The transition from 1 to 2G was dictated by the economics of reliability, performance, and scale, whilst 3, 4, and 5G saw the transition to mobile computing with full internet access, AI and an ever-expanding plethora of applications. But 5G could be the end of the line as cell-site energy demands have become excessive at ~10kW.
Midway between the migration from 4G to 5G, M2M and the IoT machines overtook the human population of 8Bn people with near (estimated) 20Bn devices. Current IoT growth rates suggest a 40 - 60Bn population by 2030 to 2050. However, we present evidence that it could be far more ~ 1,000Bn ‘Things’. This is based on the observation of the number of IoT components populating modern vehicles, homes, offices, factories and plants, along with smart ‘human implants’ and ‘smart bolts’ plus the instrumentation of civil; structures.
The bold assumption that 5G would be a dominant player in the IoT is now patently one of naivety and the world has become far more complex with over 10 wireless standards currently in use. So, this poses the question; will 6G rise to the challenge? We see this as highly unlikely as the diversity of need is extremely broad, and we propose that it could be the end of tower based networks for a lot of applications. A migration to mesh-nets, UWB and (Hyper Wide Band) for the IoT at frequencies above 100GHz seems the most obvious engineering choice as it allows for far simpler designs with extremely low power at sub $0.01/device cost. 5G is already on the margins of being sustainable, and a ‘more-of-the-same’ thinking 6G can lonely be far worse!
IoT growth forecasts currently tend to span 30 – 60 Bn ‘Things’ by 2030. However, this ignores the central IoT role in realising sustainable societies where raw materials and component use have to see very high levels of reuse, repurposing, and recycling. In such a world almost everything we possess and use will have to be tagged and be electronically addressable as a part of the IoT. Such a need immediately sees growth estimates of 2Tn or more over the span of Industry 4 and 5. On the basis of energy demands alone, it is inconceivable that the technologies of BlueTooth, WiFi, 4, 5, and 6G could support such demand, and nor are the signaling and security protocols viable on such a scale.
The evolution of the IoT will therefore most likely see a new form of dynamic network requiring new lightweight protocols employing very little signal processing, together with very low energy wireless technologies (in the micro-Watt range) operating over extremely short distances (~10m). This need might be best satisfied by a new form of ‘Zero Infrastructure Mesh Networks’ that engage in active resource sharing, lossy probabilistic routing, and cyber security realised through an integrated ‘auto-immunity’ system. Ultimately, we might also envisage data amalgamation at key nodes that have a direct connection into the internet along with an additional layer of cyber checks and protection.
We justify the above assertions by illustrating the energy and network limitations of today’s 5G networks and those already obvious in current 6G proposals. We then go on to detail how a suitable IoT MeshNet might be configured and realised, along with a few solutions and emergent outcomes on the way.
Autonomous Vehicles: the Intersection of Robotics and Artificial IntelligenceWiley Jones
Autonomous Vehicle Webinar. Crash course in AVs: high-level overview, technology deep-dives, and trends. Follow me on Twitter at https://twitter.com/wileycwj.
Link to YouTube Video: https://www.youtube.com/watch?v=CruCp6vqPQs
Google Slides: https://docs.google.com/presentation/d/1-ZWAXEH-5Xu7_zts-rGhNwan14VH841llZwrHGT_9dQ/edit?usp=sharing
Develop and commercialize a propietary real-time location system (RTLS) using standard protocols to remotely monitor and control a wide variety of assets within defined wireless networks.
Zia’s vision is to be the leading innovative RTLS provider in the Retail, Security, Construction, Health Care, Transportation, and other target markets where asset tracking and monitoring is critical.
Willie Nelson Net Worth: A Journey Through Music, Movies, and Business Venturesgreendigital
Willie Nelson is a name that resonates within the world of music and entertainment. Known for his unique voice, and masterful guitar skills. and an extraordinary career spanning several decades. Nelson has become a legend in the country music scene. But, his influence extends far beyond the realm of music. with ventures in acting, writing, activism, and business. This comprehensive article delves into Willie Nelson net worth. exploring the various facets of his career that have contributed to his large fortune.
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Introduction
Willie Nelson net worth is a testament to his enduring influence and success in many fields. Born on April 29, 1933, in Abbott, Texas. Nelson's journey from a humble beginning to becoming one of the most iconic figures in American music is nothing short of inspirational. His net worth, which estimated to be around $25 million as of 2024. reflects a career that is as diverse as it is prolific.
Early Life and Musical Beginnings
Humble Origins
Willie Hugh Nelson was born during the Great Depression. a time of significant economic hardship in the United States. Raised by his grandparents. Nelson found solace and inspiration in music from an early age. His grandmother taught him to play the guitar. setting the stage for what would become an illustrious career.
First Steps in Music
Nelson's initial foray into the music industry was fraught with challenges. He moved to Nashville, Tennessee, to pursue his dreams, but success did not come . Working as a songwriter, Nelson penned hits for other artists. which helped him gain a foothold in the competitive music scene. His songwriting skills contributed to his early earnings. laying the foundation for his net worth.
Rise to Stardom
Breakthrough Albums
The 1970s marked a turning point in Willie Nelson's career. His albums "Shotgun Willie" (1973), "Red Headed Stranger" (1975). and "Stardust" (1978) received critical acclaim and commercial success. These albums not only solidified his position in the country music genre. but also introduced his music to a broader audience. The success of these albums played a crucial role in boosting Willie Nelson net worth.
Iconic Songs
Willie Nelson net worth is also attributed to his extensive catalog of hit songs. Tracks like "Blue Eyes Crying in the Rain," "On the Road Again," and "Always on My Mind" have become timeless classics. These songs have not only earned Nelson large royalties but have also ensured his continued relevance in the music industry.
Acting and Film Career
Hollywood Ventures
In addition to his music career, Willie Nelson has also made a mark in Hollywood. His distinctive personality and on-screen presence have landed him roles in several films and television shows. Notable appearances include roles in "The Electric Horseman" (1979), "Honeysuckle Rose" (1980), and "Barbarosa" (1982). These acting gigs have added a significant amount to Willie Nelson net worth.
Television Appearances
Nelson's char
Artificial Reefs by Kuddle Life Foundation - May 2024punit537210
Situated in Pondicherry, India, Kuddle Life Foundation is a charitable, non-profit and non-governmental organization (NGO) dedicated to improving the living standards of coastal communities and simultaneously placing a strong emphasis on the protection of marine ecosystems.
One of the key areas we work in is Artificial Reefs. This presentation captures our journey so far and our learnings. We hope you get as excited about marine conservation and artificial reefs as we are.
Please visit our website: https://kuddlelife.org
Our Instagram channel:
@kuddlelifefoundation
Our Linkedin Page:
https://www.linkedin.com/company/kuddlelifefoundation/
and write to us if you have any questions:
info@kuddlelife.org
UNDERSTANDING WHAT GREEN WASHING IS!.pdfJulietMogola
Many companies today use green washing to lure the public into thinking they are conserving the environment but in real sense they are doing more harm. There have been such several cases from very big companies here in Kenya and also globally. This ranges from various sectors from manufacturing and goes to consumer products. Educating people on greenwashing will enable people to make better choices based on their analysis and not on what they see on marketing sites.
Characterization and the Kinetics of drying at the drying oven and with micro...Open Access Research Paper
The objective of this work is to contribute to valorization de Nephelium lappaceum by the characterization of kinetics of drying of seeds of Nephelium lappaceum. The seeds were dehydrated until a constant mass respectively in a drying oven and a microwawe oven. The temperatures and the powers of drying are respectively: 50, 60 and 70°C and 140, 280 and 420 W. The results show that the curves of drying of seeds of Nephelium lappaceum do not present a phase of constant kinetics. The coefficients of diffusion vary between 2.09.10-8 to 2.98. 10-8m-2/s in the interval of 50°C at 70°C and between 4.83×10-07 at 9.04×10-07 m-8/s for the powers going of 140 W with 420 W the relation between Arrhenius and a value of energy of activation of 16.49 kJ. mol-1 expressed the effect of the temperature on effective diffusivity.
WRI’s brand new “Food Service Playbook for Promoting Sustainable Food Choices” gives food service operators the very latest strategies for creating dining environments that empower consumers to choose sustainable, plant-rich dishes. This research builds off our first guide for food service, now with industry experience and insights from nearly 350 academic trials.
3. Challenges
Acquire more reliable, accurate, regular
information to improve city nature while
reducing the cost of input.
Making it easier to acquire qualitative data
-> Better management of tree heritage
-> Better decision-making
4. Currently
Manual census
most municipalities still use paper or manual
Very limited inventory status of municipalities that does not allow
effective management plans to be put in place
High financial and human cost thus discouraging for the majority
of municipalities
5. State of the
art
LiDAR Detection
Great performance
Expensive
Not very accessible
https://hal-
lirmm.ccsd.cnrs.fr/lirmm-
01685327/document
6. State of the art
Satellite image recognition
Well known in scientific
literature
Individual difficult tree
distinction
Only possible to obtain contact
information
Kaggle DSTL Competition
https://github.com/robmarkcole/sa
tellite-image-deep-learning
DeepForest
https://github.com/weecology/Dee
pForest
7. State of the art
Infrared and thermal
detection
Other information (silhouette,
health status) is available
8. Our solution
Technology assembly (Google-type
360 high-resolution camera - infrared
- GPS)
Algo tree detection and its features
(deep learning)
Tracking and Response Dashboard