BKK16-211 Internet of Tiny Linux (io tl)- Status and ProgressLinaro
This document discusses methods for reducing the size of Linux kernels and user space binaries to make them suitable for small IoT applications. It describes how the Linux kernel is well-suited for IoT due to its large developer community and features, but can be bloated. Methods discussed to reduce kernel size include compiling out unused features, using Link Time Optimization (LTO), and trimming unused exported kernel symbols. For user space, it suggests statically compiled applications and shared libraries with minimal dependencies. The presentation provides size reduction numbers when applying these techniques and suggests areas for further work like code profiling and improved modularization.
Joshua Brown presented on his CEIS 114 final course project simulating a traffic control system of varying complexity from planning through development stages. The project involved setting up hardware, programming, and networking for an IoT system. Brown created circuits using an ESP32 board, LEDs, resistors, and other components to control lights and detect motion or touches for traffic and pedestrian scenarios. He documented the project flow, circuits, code, and gained skills in circuitry, problem solving, and understanding IoT applications while overcoming difficulties with a non-working buzzer. The course provided a deeper understanding of electrical components and interesting projects that can be built with Arduino.
Contiki is an open source operating system for the Internet of Things. Contiki connects tiny low-cost, low-power microcontrollers to the Internet.
the presentation explains how to install the simulator, teach the reader some concepts of contiki OS, goes through API used in platform specific examples, and most importantly explains some example(Blinking example, Light and temperature sensor web demo).
ILP32 is a programming model that may be useful on AArch64 systems for performance and also for legacy code with 32-bit data size assumptions. We combined ILP32 support from upstream projects with the LEAP distribution to enable experimentation with this model. This talk discusses the relative benchmark performance of the LP64 and ILP32 programming models under AArch64.
Are you a developer who wants to learn about the Internet of Things (IoT)? Do you want to retrieve data from Internet-connected sensors for applications in home automation, healthcare, automotive, government and more? Do you want to control sensors and devices remotely from cloud, mobile, or desktop applications? In the IoT Fire Starter workshop you will use an IoT prototyping kit (that is yours to keep) to learn how to create micro-controller devices (the ‘Things’ in IoT) that use a variety of physical sensors such as light and temperature sensors; control switches; servos; and motors. You will learn how to connect these Things to Microsoft Azure IoT services to both collect data and issue control commands to the devices. Once you have mastered prototyping the hardware and connecting it to the Cloud, you will learn how to leverage Azure IoT services to gain insight into the data coming from your connected Thing, including analytics and machine learning. Following the workshop you will be able to continue your experience with your prototyping kit by following additional hands-on labs you can subscribe to online. You will need to bring your own laptop for this workshop.
The document compares the Raspberry Pi 3B+ and the Nvidia Jetson Nano for use in AI and IoT applications. The Jetson Nano has significantly higher GPU and AI performance compared to the Raspberry Pi. While the Jetson Nano has a higher upfront cost, it allows for real-time processing of computer vision models and multiple camera streams, making it more cost-effective than the Raspberry Pi for applications that require these capabilities. Migrating software from the Raspberry Pi to the Jetson Nano would not require major changes, as both support common tools like OpenCV and cloud connectivity to services like AWS and Azure.
review of factors affecting IoT system selection. for MVP phase and later phases. Computation, price, connectivity, open source support, development SDKs
Using SoC Vendor HALs in the Zephyr Project - SFO17-112Linaro
Session ID: SFO17-112
Session Name: Using SoC Vendor HALs in the Zephyr Project - SFO17-112
Speaker: Maureen Helm
Track: LITE
★ Session Summary ★
The Zephyr OS is a small, scalable RTOS that supports a wide variety of SoCs, many of which have existing HALs provided by the SoC vendors, especially in the ARM Cortex-M world. These HALs provide peripheral register definitions and in many cases, include bare metal peripheral drivers. Rather than reinventing the wheel, the Zephyr Project decided to proactively reuse these vendor HALs whenever possible. This session will cover how and why the Zephyr Project uses SoC vendor HALs, what are the common problems, and how to address them.
---------------------------------------------------
★ Resources ★
Event Page: http://connect.linaro.org/resource/sfo17/sfo17-112/
Presentation:
Video: https://www.youtube.com/watch?v=hHcnw4xu_Mo
---------------------------------------------------
★ Event Details ★
Linaro Connect San Francisco 2017 (SFO17)
25-29 September 2017
Hyatt Regency San Francisco Airport
---------------------------------------------------
Keyword:
'http://www.linaro.org'
'http://connect.linaro.org'
---------------------------------------------------
Follow us on Social Media
https://www.facebook.com/LinaroOrg
https://twitter.com/linaroorg
https://www.youtube.com/user/linaroorg?sub_confirmation=1
https://www.linkedin.com/company/102696
BKK16-211 Internet of Tiny Linux (io tl)- Status and ProgressLinaro
This document discusses methods for reducing the size of Linux kernels and user space binaries to make them suitable for small IoT applications. It describes how the Linux kernel is well-suited for IoT due to its large developer community and features, but can be bloated. Methods discussed to reduce kernel size include compiling out unused features, using Link Time Optimization (LTO), and trimming unused exported kernel symbols. For user space, it suggests statically compiled applications and shared libraries with minimal dependencies. The presentation provides size reduction numbers when applying these techniques and suggests areas for further work like code profiling and improved modularization.
Joshua Brown presented on his CEIS 114 final course project simulating a traffic control system of varying complexity from planning through development stages. The project involved setting up hardware, programming, and networking for an IoT system. Brown created circuits using an ESP32 board, LEDs, resistors, and other components to control lights and detect motion or touches for traffic and pedestrian scenarios. He documented the project flow, circuits, code, and gained skills in circuitry, problem solving, and understanding IoT applications while overcoming difficulties with a non-working buzzer. The course provided a deeper understanding of electrical components and interesting projects that can be built with Arduino.
Contiki is an open source operating system for the Internet of Things. Contiki connects tiny low-cost, low-power microcontrollers to the Internet.
the presentation explains how to install the simulator, teach the reader some concepts of contiki OS, goes through API used in platform specific examples, and most importantly explains some example(Blinking example, Light and temperature sensor web demo).
ILP32 is a programming model that may be useful on AArch64 systems for performance and also for legacy code with 32-bit data size assumptions. We combined ILP32 support from upstream projects with the LEAP distribution to enable experimentation with this model. This talk discusses the relative benchmark performance of the LP64 and ILP32 programming models under AArch64.
Are you a developer who wants to learn about the Internet of Things (IoT)? Do you want to retrieve data from Internet-connected sensors for applications in home automation, healthcare, automotive, government and more? Do you want to control sensors and devices remotely from cloud, mobile, or desktop applications? In the IoT Fire Starter workshop you will use an IoT prototyping kit (that is yours to keep) to learn how to create micro-controller devices (the ‘Things’ in IoT) that use a variety of physical sensors such as light and temperature sensors; control switches; servos; and motors. You will learn how to connect these Things to Microsoft Azure IoT services to both collect data and issue control commands to the devices. Once you have mastered prototyping the hardware and connecting it to the Cloud, you will learn how to leverage Azure IoT services to gain insight into the data coming from your connected Thing, including analytics and machine learning. Following the workshop you will be able to continue your experience with your prototyping kit by following additional hands-on labs you can subscribe to online. You will need to bring your own laptop for this workshop.
The document compares the Raspberry Pi 3B+ and the Nvidia Jetson Nano for use in AI and IoT applications. The Jetson Nano has significantly higher GPU and AI performance compared to the Raspberry Pi. While the Jetson Nano has a higher upfront cost, it allows for real-time processing of computer vision models and multiple camera streams, making it more cost-effective than the Raspberry Pi for applications that require these capabilities. Migrating software from the Raspberry Pi to the Jetson Nano would not require major changes, as both support common tools like OpenCV and cloud connectivity to services like AWS and Azure.
review of factors affecting IoT system selection. for MVP phase and later phases. Computation, price, connectivity, open source support, development SDKs
Using SoC Vendor HALs in the Zephyr Project - SFO17-112Linaro
Session ID: SFO17-112
Session Name: Using SoC Vendor HALs in the Zephyr Project - SFO17-112
Speaker: Maureen Helm
Track: LITE
★ Session Summary ★
The Zephyr OS is a small, scalable RTOS that supports a wide variety of SoCs, many of which have existing HALs provided by the SoC vendors, especially in the ARM Cortex-M world. These HALs provide peripheral register definitions and in many cases, include bare metal peripheral drivers. Rather than reinventing the wheel, the Zephyr Project decided to proactively reuse these vendor HALs whenever possible. This session will cover how and why the Zephyr Project uses SoC vendor HALs, what are the common problems, and how to address them.
---------------------------------------------------
★ Resources ★
Event Page: http://connect.linaro.org/resource/sfo17/sfo17-112/
Presentation:
Video: https://www.youtube.com/watch?v=hHcnw4xu_Mo
---------------------------------------------------
★ Event Details ★
Linaro Connect San Francisco 2017 (SFO17)
25-29 September 2017
Hyatt Regency San Francisco Airport
---------------------------------------------------
Keyword:
'http://www.linaro.org'
'http://connect.linaro.org'
---------------------------------------------------
Follow us on Social Media
https://www.facebook.com/LinaroOrg
https://twitter.com/linaroorg
https://www.youtube.com/user/linaroorg?sub_confirmation=1
https://www.linkedin.com/company/102696
A talk I gave at Hackware v1.9 about my experience in using an Intel Edison in my company's product.
The video of my talk can be found here: https://engineers.sg/v/828
The document compares different neural compute sticks and provides steps to install the Intel Neural Compute Stick 2 (NCS2) environment and run samples. It compares the NCS1 and NCS2 in terms of processing capability and power consumption. It then outlines the installation process for Windows and Linux, which involves downloading the OpenVINO toolkit, configuring USB drivers on Windows, and testing the installation. Examples are provided to run object detection and recognition models on an image using the NCS2.
Rest no more - Using actors for the internet of (Lego) trains & Raspberry Pi'sJohan Janssen
1) The document discusses using remote actors with Akka instead of REST for building an Internet of Things system to control Lego trains over a Raspberry Pi network.
2) Remote actors allow for more natural programming than REST and provide built-in load balancing, circuit breaking, and concurrency. They also perform better than REST in tests with thousands of users.
3) While REST is more independent of technology, remote actors can handle more users and have lower response times than both REST and Spring Boot in performance tests with Gatling.
Internet of Tiny Linux (IoTL): Episode IV - SFO17-100Linaro
This document discusses methods for reducing the size of Linux kernels and user space binaries to make them suitable for small IoT applications. It describes techniques like linker garbage collection, link time optimization, and selectively disabling unnecessary kernel configurations. Specific examples that have been merged into the Linux kernel mainline are given, such as removing POSIX timers and PI futexes. The goals of executing code directly from flash memory and reducing static and runtime memory usage are also covered.
SFO15-BFO2: Reducing the arm linux kernel size without losing your mindLinaro
SFO15-BF02: Reducing the arm linux kernel size without losing your mind
Speaker: Nicolas Pitre
Date: September 24, 2015
★ Session Description ★
Automatically reducing the Linux kernel size may be achieved in
different ways. Using LTO (Link Time Optimization) is one such way with many advantages, but it also has major issues. A simpler alternative is linker section garbage collection. However, it turns out that even “simpler” solutions have their share of unsuspected pitfalls, especially on ARM. Those pitfalls and proposed solutions are the subjects of this discussion.
★ Resources ★
Video: https://www.youtube.com/watch?v=tnKO0TKi3wo
Presentation: http://www.slideshare.net/linaroorg/sfo15bfo2-reducing-the-arm-linux-kernel-size-without-losing-your-mind
Pathable: https://sfo15.pathable.com/meetings/318624
★ Event Details ★
Linaro Connect San Francisco 2015 - #SFO15
September 21-25, 2015
Hyatt Regency Hotel
http://www.linaro.org
http://connect.linaro.org
The document announces a series of campus ambassador demos at the University of Melbourne on topics related to SunSPOT technology, Netbeans IDE, and Java application development. Soft drinks and pizza will be provided at the demos. Interested parties are instructed to RSVP by email. Additional details are given on SunSPOT hardware, the Squawk Java virtual machine, and developing applications for SunSPOT. Attendees can learn more about Sun certification opportunities.
The document discusses Sun SPOT (Small Programmable Object Technology), a small wireless sensor device developed by Sun Microsystems that runs on a Java virtual machine called Squawk. It has various sensors and I/O capabilities. The document provides details on the hardware components of Sun SPOT including its processor, radio, battery life, and sensor boards. It also describes the Squawk virtual machine and SPOT software development kit (SDK) libraries. Examples are given of interfacing SPOT with sensors, switches, LEDs, and other devices. Potential applications of Sun SPOT for wireless sensor networks are mentioned.
1) The document reports the discovery of the first known Trojan asteroid of Earth, 2010 TK7.
2) 2010 TK7 was discovered in infrared data from the WISE spacecraft. Follow-up optical observations confirmed it is trapped in a stable orbit around the L4 Lagrangian point ahead of Earth.
3) The asteroid's orbit is stable over at least 10,000 years, though its position becomes chaotic beyond 250 years in the past or future due to gravitational interactions.
Stellar Life Cycle
1. Stars are born from dense clouds of gas and dust called nebulae.
2. Most stars, including our Sun, spend the majority of their lifespan fusing hydrogen into helium as main sequence stars.
3. Towards the end of their life, stars expand into red giants or supergiants and begin fusing heavier elements, before shrinking into white dwarfs, neutron stars, or black holes.
This document provides an overview of Hubble Space Telescope images, organized into 25 chapters on astronomical subjects. It begins with an introduction describing Hubble's launch and key accomplishments over 25 years of operation. The chapters then each describe a notable Hubble image, including details revealed in the image and related scientific discoveries. Subjects range from planets in the solar system to distant galaxies. The document concludes by recognizing Hubble's ongoing contributions to astronomy through unprecedented views of the universe.
The Orion Nebula is an emission nebula located in the constellation Orion where stars are actively forming. It is approximately 1,500 light years from Earth. The nebula contains the Trapezium cluster, which has four massive stars at its center that help illuminate the nebula. Scientists recently discovered a potential black hole at the center of the Trapezium cluster that is about 200 times the mass of our Sun and helps explain the motion and evolution of stars in the Orion Nebula.
Rubric evaluation media instructional k7alatifgapor
This document provides a rubric for evaluating instructional materials. The rubric contains 10 rating areas: alignment with standards, accurate information, age-appropriate language, interest/engagement, technical quality, ease of use, lack of bias, user guide/directions, variety of media, and multisensory experience. Each area is rated on a scale of 1 to 3, with 3 being high quality and 1 being low quality. The rubric defines what constitutes a rating of 1, 2, or 3 for each of the 10 areas.
This document summarizes stellar evolution and the life cycles of stars. It describes how stars are born from nebulae and discusses the stages stars pass through, including their time as main sequence stars fueled by hydrogen fusion. As stars age and exhaust their hydrogen, they evolve into red giants and later planetary nebulae, leaving behind white dwarf cores. More massive stars explode as supernovae, forming neutron stars or black holes. Key concepts covered include nucleosynthesis, variable stars, and the end states of small and massive stars.
Stars form from dense regions in nebulae where dust and gases heat up and contract to form a protostar with enough mass for nuclear fusion to begin. Most stars will spend around 90% of their life as a main sequence star stably fusing hydrogen into helium. A star's mass determines its place on the main sequence, with smaller, cooler red stars living the longest. Lower mass stars eventually become white dwarfs as their cores grow without outward pressure, while higher mass stars explode as supernovae, leaving behind neutron stars or black holes if the core is massive enough for its surface gravity to trap even light.
This document contains descriptions of various astronomical objects and natural landscapes that are presented as reflections of God's creation. These include nebulae like the Great Carina Nebula, star clusters like R136, galaxies like the Andromeda Galaxy, planetary objects like Jupiter, terrestrial landscapes from Canada and more. The document expresses appreciation for God's creation and an encouragement to be good stewards of it.
Instructional materials are tools used by teachers to help students learn, including resources for active learning and assessment. There are many types of instructional materials classified as visual, audio, audiovisual, printed, software, equipment, electronic, non-projected, two-dimensional, and three-dimensional materials. Instructional materials make teaching easier by gaining student attention, highlighting key points, stimulating understanding, and providing shared learning experiences.
A nebula is an interstellar cloud of dust, gas, and plasma that is the first stage of star formation. Nebulae form from the gravitational collapse of gas clouds in space. As gas and dust clump together in nebulae, it can form stars and planetary systems. Some nebulae are formed from stellar explosions like supernovae, which throw off ionized material that glows.
A talk I gave at Hackware v1.9 about my experience in using an Intel Edison in my company's product.
The video of my talk can be found here: https://engineers.sg/v/828
The document compares different neural compute sticks and provides steps to install the Intel Neural Compute Stick 2 (NCS2) environment and run samples. It compares the NCS1 and NCS2 in terms of processing capability and power consumption. It then outlines the installation process for Windows and Linux, which involves downloading the OpenVINO toolkit, configuring USB drivers on Windows, and testing the installation. Examples are provided to run object detection and recognition models on an image using the NCS2.
Rest no more - Using actors for the internet of (Lego) trains & Raspberry Pi'sJohan Janssen
1) The document discusses using remote actors with Akka instead of REST for building an Internet of Things system to control Lego trains over a Raspberry Pi network.
2) Remote actors allow for more natural programming than REST and provide built-in load balancing, circuit breaking, and concurrency. They also perform better than REST in tests with thousands of users.
3) While REST is more independent of technology, remote actors can handle more users and have lower response times than both REST and Spring Boot in performance tests with Gatling.
Internet of Tiny Linux (IoTL): Episode IV - SFO17-100Linaro
This document discusses methods for reducing the size of Linux kernels and user space binaries to make them suitable for small IoT applications. It describes techniques like linker garbage collection, link time optimization, and selectively disabling unnecessary kernel configurations. Specific examples that have been merged into the Linux kernel mainline are given, such as removing POSIX timers and PI futexes. The goals of executing code directly from flash memory and reducing static and runtime memory usage are also covered.
SFO15-BFO2: Reducing the arm linux kernel size without losing your mindLinaro
SFO15-BF02: Reducing the arm linux kernel size without losing your mind
Speaker: Nicolas Pitre
Date: September 24, 2015
★ Session Description ★
Automatically reducing the Linux kernel size may be achieved in
different ways. Using LTO (Link Time Optimization) is one such way with many advantages, but it also has major issues. A simpler alternative is linker section garbage collection. However, it turns out that even “simpler” solutions have their share of unsuspected pitfalls, especially on ARM. Those pitfalls and proposed solutions are the subjects of this discussion.
★ Resources ★
Video: https://www.youtube.com/watch?v=tnKO0TKi3wo
Presentation: http://www.slideshare.net/linaroorg/sfo15bfo2-reducing-the-arm-linux-kernel-size-without-losing-your-mind
Pathable: https://sfo15.pathable.com/meetings/318624
★ Event Details ★
Linaro Connect San Francisco 2015 - #SFO15
September 21-25, 2015
Hyatt Regency Hotel
http://www.linaro.org
http://connect.linaro.org
The document announces a series of campus ambassador demos at the University of Melbourne on topics related to SunSPOT technology, Netbeans IDE, and Java application development. Soft drinks and pizza will be provided at the demos. Interested parties are instructed to RSVP by email. Additional details are given on SunSPOT hardware, the Squawk Java virtual machine, and developing applications for SunSPOT. Attendees can learn more about Sun certification opportunities.
The document discusses Sun SPOT (Small Programmable Object Technology), a small wireless sensor device developed by Sun Microsystems that runs on a Java virtual machine called Squawk. It has various sensors and I/O capabilities. The document provides details on the hardware components of Sun SPOT including its processor, radio, battery life, and sensor boards. It also describes the Squawk virtual machine and SPOT software development kit (SDK) libraries. Examples are given of interfacing SPOT with sensors, switches, LEDs, and other devices. Potential applications of Sun SPOT for wireless sensor networks are mentioned.
1) The document reports the discovery of the first known Trojan asteroid of Earth, 2010 TK7.
2) 2010 TK7 was discovered in infrared data from the WISE spacecraft. Follow-up optical observations confirmed it is trapped in a stable orbit around the L4 Lagrangian point ahead of Earth.
3) The asteroid's orbit is stable over at least 10,000 years, though its position becomes chaotic beyond 250 years in the past or future due to gravitational interactions.
Stellar Life Cycle
1. Stars are born from dense clouds of gas and dust called nebulae.
2. Most stars, including our Sun, spend the majority of their lifespan fusing hydrogen into helium as main sequence stars.
3. Towards the end of their life, stars expand into red giants or supergiants and begin fusing heavier elements, before shrinking into white dwarfs, neutron stars, or black holes.
This document provides an overview of Hubble Space Telescope images, organized into 25 chapters on astronomical subjects. It begins with an introduction describing Hubble's launch and key accomplishments over 25 years of operation. The chapters then each describe a notable Hubble image, including details revealed in the image and related scientific discoveries. Subjects range from planets in the solar system to distant galaxies. The document concludes by recognizing Hubble's ongoing contributions to astronomy through unprecedented views of the universe.
The Orion Nebula is an emission nebula located in the constellation Orion where stars are actively forming. It is approximately 1,500 light years from Earth. The nebula contains the Trapezium cluster, which has four massive stars at its center that help illuminate the nebula. Scientists recently discovered a potential black hole at the center of the Trapezium cluster that is about 200 times the mass of our Sun and helps explain the motion and evolution of stars in the Orion Nebula.
Rubric evaluation media instructional k7alatifgapor
This document provides a rubric for evaluating instructional materials. The rubric contains 10 rating areas: alignment with standards, accurate information, age-appropriate language, interest/engagement, technical quality, ease of use, lack of bias, user guide/directions, variety of media, and multisensory experience. Each area is rated on a scale of 1 to 3, with 3 being high quality and 1 being low quality. The rubric defines what constitutes a rating of 1, 2, or 3 for each of the 10 areas.
This document summarizes stellar evolution and the life cycles of stars. It describes how stars are born from nebulae and discusses the stages stars pass through, including their time as main sequence stars fueled by hydrogen fusion. As stars age and exhaust their hydrogen, they evolve into red giants and later planetary nebulae, leaving behind white dwarf cores. More massive stars explode as supernovae, forming neutron stars or black holes. Key concepts covered include nucleosynthesis, variable stars, and the end states of small and massive stars.
Stars form from dense regions in nebulae where dust and gases heat up and contract to form a protostar with enough mass for nuclear fusion to begin. Most stars will spend around 90% of their life as a main sequence star stably fusing hydrogen into helium. A star's mass determines its place on the main sequence, with smaller, cooler red stars living the longest. Lower mass stars eventually become white dwarfs as their cores grow without outward pressure, while higher mass stars explode as supernovae, leaving behind neutron stars or black holes if the core is massive enough for its surface gravity to trap even light.
This document contains descriptions of various astronomical objects and natural landscapes that are presented as reflections of God's creation. These include nebulae like the Great Carina Nebula, star clusters like R136, galaxies like the Andromeda Galaxy, planetary objects like Jupiter, terrestrial landscapes from Canada and more. The document expresses appreciation for God's creation and an encouragement to be good stewards of it.
Instructional materials are tools used by teachers to help students learn, including resources for active learning and assessment. There are many types of instructional materials classified as visual, audio, audiovisual, printed, software, equipment, electronic, non-projected, two-dimensional, and three-dimensional materials. Instructional materials make teaching easier by gaining student attention, highlighting key points, stimulating understanding, and providing shared learning experiences.
A nebula is an interstellar cloud of dust, gas, and plasma that is the first stage of star formation. Nebulae form from the gravitational collapse of gas clouds in space. As gas and dust clump together in nebulae, it can form stars and planetary systems. Some nebulae are formed from stellar explosions like supernovae, which throw off ionized material that glows.
Nebulae consist of gas and dust clouds where stars are born. Stars spend most of their lives on the main sequence, fusing hydrogen into helium in their cores. Eventually they run out of fuel and die, either exploding as supernovae or shedding their outer layers as planetary nebulae. What remains depends on the star's mass - it can become a neutron star, black hole, or white dwarf.
I. Interstellar Medium refers to the gas and dust between stars.
II. A nebula is a dense cloud of dust and gases that begins to contract due to gravity, increasing pressure and temperature to form a protostar.
III. When the protostar gets hot enough, fusion begins and a main sequence star is born.
Completing the learning experience: Instructional materialsDea Timbreza
An introduction to Instructional Materials. Presented at the Jose Rizal University Graduate school last trimester.
Subject: Production and Testing of Materials
This document discusses instructional materials used in education. It begins by outlining the learner objectives of being able to identify variables in selecting instructional materials, cite the components required to effectively communicate, and discuss general principles. It then defines instructional materials and their purpose in helping communicate information and improve student abilities. The three major components of instructional materials are identified as the delivery system, content, and presentation. Various types of written instructional materials like handouts, leaflets, books and pamphlets are discussed along with their advantages and disadvantages. The steps in developing learning resource materials and commercially prepared materials are also outlined.
Stars are luminous spheres of plasma held together by gravity that produce heat, light, and radiation. They are composed largely of gas and plasma and are responsible for distributing heavy elements throughout the universe. The nearest star to Earth is our Sun. Constellations are specific areas of the celestial sphere defined by groups of prominent stars that make identifiable patterns, with some famous examples being Orion and Cassiopeia.
Selection and preparation of instructional materialsMits
This document discusses the selection and preparation of instructional materials for teaching. It identifies different types of media resources that can be used, including audio visual, non-projected visual, projected visual, audio media, films and videos, and simulation and gaming. Some specific examples of materials provided are chalkboards, overhead projectors, slides, audio tapes, textbooks, and workbooks. The document outlines general principles for selecting instructional materials, such as choosing materials that are appropriate for the learning activities and styles of students.
The document discusses Sun Small Programmable Object Technology (Sun SPOT), which is a Java platform for developing applications for wireless networks and small devices. It describes the Sun SPOT device hardware, including the processor board and sensor board. It also discusses the Squawk Java virtual machine used in Sun SPOT, the Sun SPOT software development kit, and provides code snippets for sending/receiving radio communications and accessing sensors. Resources for learning more about Sun SPOT are provided at the end.
The document discusses Sun SPOT (Small Programmable Object Technology), a small programmable wireless device developed by Sun Microsystems. It provides an overview of Sun SPOT, demonstrating several applications developed using it. The document discusses how Sun SPOT allows for quick and safe development separated from low-level hardware, its open source software and hardware platform, and how Sun hopes it will generate more data and usage of Java technologies. It provides details on the Sun SPOT device and programming process, and shows several example applications and research projects developed using Sun SPOT. Contact information is given for two representatives to learn more about Sun SPOT development.
This document introduces Sun SPOT (Small Programmable Object Technology), a wireless sensor network platform from Sun Microsystems for creating intelligent sensor networks and interacting with the physical world. It describes the Sun SPOT hardware which includes a processor board and sensor board, and the Sun SPOT software which uses the Squawk virtual machine to run Java ME applications. It provides examples of using the Sun SPOT to build a gesture controlled vehicle by having one SPOT read gesture sensor data and send messages over radio to another SPOT acting as a base station which controls a LEGO Mindstorms vehicle.
Slide deck from my #SeattleCodeCamp talk. Starts with how to get started for beginners. And explains how to push data to the cloud and create an app. Source: https://github.com/sameerkapps/SmartHome
Video: https://youtu.be/gyiCfD9MmGU
Java was originally developed at Sun Microsystems in the early 1990s as an object-oriented programming language intended for use in embedded systems. It was designed to be portable, meaning that code written in Java could run on any platform with a Java Virtual Machine (JVM). The JVM allows Java code to execute in a platform-independent manner, as it compiles Java code to bytecode that is then interpreted by the JVM rather than generating native machine code. This makes Java well-suited for distributed computing over networks.
Sun Spots And Mantis A Comparative StudySudharsan S
Sun SPOTs are small, wireless devices developed by Sun Microsystems that are programmed entirely in Java and run the Squawk Java virtual machine (VM). The Mantis OS is an open-source operating system designed for wireless sensor networks that uses a multithreaded kernel to provide a portable, low-power platform across different hardware. Key features of Sun SPOTs include their Java-based programming, rechargeable batteries, sensors, and support for the Squawk Java VM, while the Mantis OS emphasizes portability, small memory footprint, energy efficiency, and dynamic reprogramming.
The document provides an overview of mobile Java and Java ME technologies. It discusses Java ME components including configurations (CDC, CLDC), profiles (MIDP), and optional packages. It also covers Java ME development tools like emulators, SDKs, IDEs, frameworks, and libraries. Some common issues with Java ME include porting applications across devices, graphics differences, testing limitations without real devices, and application size boundaries.
This document discusses multithreading in Android. It describes how the AsyncTask class can be used to perform background operations and publish results on the UI thread without manipulating threads directly. It also explains how the Handler class allows sending and processing Message and Runnable objects on a specific thread's message queue, allowing actions to be performed on a different thread than the current one using post() and sendMessage(). Multithreading improves performance on systems with multiple CPUs by allowing tasks to be separated into independent threads that can execute in parallel.
Demystifying Software Defined Networking (SDN)Matt Bynum
A presentation on SDN given at Barcamp Huntsville on August 23, 2014. This is a high-level overview of one of the tenants of SDN, that of the controller based manipulation of traffic.
Demystifying Software Defined Networking (SDN)Matt Bynum
A presentation on SDN given at Barcamp Huntsville on August 23, 2014. This is a high-level overview of one of the tenants of SDN, that of the controller based manipulation of traffic.
Optimizing NN inference performance on Arm NEON and Vulkanax inc.
This talk starts with an overview of ailia SDK, then introduces optimization techniques for inferring neural networks at high speed in Arm environments. Based on our research for developing ailia SDK, we introduce the optimization for Arm CPU using NEON SIMD instructions and various optimal compute shader implementations for Arm Mali using Vulkan. In addition, we demonstrate how various machine learning models actually operate at high speed in Arm environments.
Android is becoming very popular these and mostly everyone is crazy about it. So today with the help of a simple diagram I am going to explain the architecture of Android. I think that there is no need to tell you all about the "Android" as everyone who knows about it should also know this simple definition of Android:
How Java 19 Influences the Future of Your High-Scale Applications .pdfAna-Maria Mihalceanu
Java 19 introduces several new features and improvements to help applications scale better. These include virtual threads which allow efficient asynchronous programming without blocking threads, pattern matching for more readable code, and improvements to JNI for safer native code integration. Java 19 also deprecates some legacy methods and makes timezone data updates to improve sustainability. Overall, the release focuses on enhancing scalability and maintainability for high performance applications.
SDVIs and In-Situ Visualization on TACC's StampedeIntel® Software
Speaker: Paul Navrátil, Texas Advanced Computing Center (TACC)
The design emphasis for supercomputing systems has moved from raw performance to performance-per-watt, and as a result, supercomputing architectures are converging on processors with wide vector units and many processing cores per chip. Such processors are capable of performant image rendering purely in software. This improved capability is fortuitous, since the prevailing homogeneous system designs lack dedicated, hardware-accelerated rendering subsystems for use in data visualization. Reliance on this “software-defined” rendering capability will grow in importance since, due to growing data sizes, visualizations must be performed on the same machine where the data is produced. Further, as data sizes outgrow disk I/O capacity, visualization will be increasingly incorporated into the simulation code itself (in situ visualization).
This talk presents recent work in high-fidelity visualization using the OSPRay ray tracing framework on TACC’s local and remote visualization systems. We present work using OSPRay within ParaView Catalyst in situ framework from Kitware, including capitalizing on opportunities to reduce data costs migrating through VTK filters for visualization. We highlight the performance opportunities and advantages of Intel® Advanced Vector Extensions 512, the memory system improvements possible with Intel® Xeon Phi™ processor multi-channel DRAM (MCDRAM) and the Intel® Omni-Path Architecture interconnect.
Enabling Java: Windows on Arm64 - A Success Story!Monica Beckwith
The document provides an overview of Microsoft's efforts to port OpenJDK to Windows on Arm64. It discusses the background of OpenJDK and Arm64, details of the port including Windows and Arm64 specific nuances, and the timeline of the port from initial work to current testing and benchmarking efforts. It also introduces the team behind the port and highlights some of their key learnings and accomplishments.
This document provides an overview and agenda for a Cell Broadband Engine programming workshop. It discusses the Cell BE system organization, software development environment, and programming techniques. The agenda outlines the history and roadmap of the Cell BE software stack development from 2005 to 2007, including details on SDK releases, compiler tools, and supported platforms. It provides resources and documentation for developing applications on the Cell BE.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdfflufftailshop
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
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.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
18. But – why not embedded Linux? (2) “ A lightweight configuration of embedded Linux requires 250 KB of ROM and 512 KB of RAM ” Arcticle on Java on the Bare Metal of Wireless Sensor Devices
22. Sun SPOT Radio Communication Example: A Java Snippet for Sending try { // Broadcast a message on port 52 DatagramConnection conn = (DatagramConnection) Connector.open(“radiogram://broadcast:52”); Datagram packet = conn.newDatagram(conn.getMaximumLength()); packet.writeInt(someValue); conn.send(packet); } catch (IOException ioe) { /* Handler */ }
23. Sun SPOT Radio Communication Example: A Java Snippet for Receiving try { // Listen on port 52 DatagramConnection conn = (DatagramConnection) Connector.open(“radiogram://:52”); Datagram packet = (Radiogram) listenerConn.newDatagram(0); conn.receive(packet); //get the address of the sending SPOT String address= packet.getAddress(); int rssi = packet.getRssi(); //get signal strength } catch (IOException ioe) { /* Handler */ }
24. Sun SPOT Sensor Code Snippet RangeInput light = SensorBoard.getLightSensor(); RangeInput temp = SensorBoard.getTemperatureSensor(); ISwitch switch1 = SensorBoard.getSwitch1(); Accelerometer3D accel = SensorBoard.getAccelerometer(); // Set accelerometer to 6G scalling ( (LIS3L02AQAccelerometer) accel).set6GSScale(); SensorBoardColouredLED led1 = SensorBoardColouredLED.getLed1(); led1.setOn(); // Change LED colour as SPOT is tilted int xAccel = accel.getX().getValue(); if(xAccel > 0) led1.setRGB(xAccel, 0, 0); else led1.setRGB(0, 0, xAccel);