IGARSS 2011 pt slides_7 28 2011.ppt
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The document summarizes the early in-orbit performance of GOCI, the Geostationary Ocean Color Imager on Korea's COMS satellite. GOCI is demonstrating good radiometric and geometric performance based on initial on-orbit testing. Its radiometric calibration is stable and imagery is meeting resolution specifications. Landmark matching for geometric correction shows sub-pixel accuracy. GOCI will provide valuable ocean monitoring from geostationary orbit and help define requirements for a next-generation GOCI instrument.
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This document discusses home automation through an Android mobile device. It describes a system where a Bluetooth module and relays are used to allow an Android phone to remotely control home appliances. The phone acts as the host controller, communicating with client modules attached to devices via Bluetooth. The system allows users to control lights, temperature and other electronics from their mobile device.
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This document provides an overview of the Android operating system, including its history, architecture, versions, features, advantages, and disadvantages. Android was founded in 2003 and was later acquired by Google in 2005. It uses an open source Linux kernel and is developed by the Open Handset Alliance. The architecture consists of four layers - the Linux kernel, native libraries, the Android runtime (Dalvik virtual machine), and applications. Key features include multi-tasking, a rich application ecosystem, and integration with Google services. Advantages are customization and openness, while disadvantages include inconsistent designs between apps and battery drain issues on some devices.
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- The instrument uses a push-frame design with two optical units to achieve a stereo angle of ±20° to provide stereo imagery for photogrammetric analysis.
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GNSS and Positioning for the Future - Kai Borre
Press Conference, Rome 21 Dec 2012.
Kai Borre, Professor Department of Electronics, Danish GPS Center, Aalborg University, Denmark
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This document contains questions and answers related to GPS surveying techniques. It includes 15 multiple choice questions, 10 true/false statements, and 15 short answer questions about topics such as pseudo-ranges, satellite clock errors, sources of distance calculation errors in GPS, factors to consider when selecting a GPS survey method, real-time kinematic surveying, and types of GPS errors.
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DUAL BAND GNSS ANTENNA PHASE CENTER CHARACTERIZATION FOR AUTOMOTIVE APPLICATIONS
High-accuracy Global Navigation Satellite System (GNSS) positioning is a prospective technology that will be used in future automotive navigation systems. This system will be a composite of the United States' Global Positioning System (GPS), the Russian Federation's Global Orbiting Navigation Satellite System (GLONASS), China Beidou Navigation Satellite System (BDS) and the European Union’s Galileo. The major improvement in accuracy and precision is based on (1) multiband signal transmitting, (2) carrier phase correction, (3) Real Time Kinematic (RTK). Due to the size and high-cost of today’s survey-grade antenna solutions, this kind of technology is difficult to use widely in the automotive sector. In this paper, a low-cost small size dual-band ceramic GNSS patch antenna is presented from design to real sample. A further study of this patch antenna illustrates the absolute phase center variation measured in an indoor range to achieve a received signal phase error correction. In addition, this low-cost antenna solution is investigated when integrated into a standard multi-band automotive antenna product. This product is evaluated both on its own in an indoor range and on a typical vehicle roof at an outdoor range. By using this evaluation file to estimate the receiver position could achieve phase motion error-free result.
DUAL BAND GNSS ANTENNA PHASE CENTER CHARACTERIZATION FOR AUTOMOTIVE APPLICATIONS
High-accuracy Global Navigation Satellite System (GNSS) positioning is a prospective technology that will be used in future automotive navigation systems. This system will be a composite of the United States' Global Positioning System (GPS), the Russian Federation's Global Orbiting Navigation Satellite System (GLONASS), China Beidou Navigation Satellite System (BDS) and the European Union’s Galileo. The major improvement in accuracy and precision is based on (1) multiband signal transmitting, (2) carrier phase correction, (3) Real Time Kinematic (RTK). Due to the size and high-cost of today’s survey-grade antenna solutions, this kind of technology is difficult to use widely in the automotive sector. In this paper, a low-cost small size dual-band ceramic GNSS patch antenna is presented from design to real sample. A further study of this patch antenna illustrates the absolute phase center variation measured in an indoor range to achieve a received signal phase error correction. In addition, this low-cost antenna solution is investigated when integrated into a standard multi-band automotive antenna product. This product is evaluated both on its own in an indoor range and on a typical vehicle roof at an outdoor range. By using this evaluation file to estimate the receiver position could achieve phase motion error-free result.
DUAL BAND GNSS ANTENNA PHASE CENTER CHARACTERIZATION FOR AUTOMOTIVE APPLICATIONS
High-accuracy Global Navigation Satellite System (GNSS) positioning is a prospective technology that will be used in future automotive navigation systems. This system will be a composite of the United States' Global Positioning System (GPS), the Russian Federation's Global Orbiting Navigation Satellite System (GLONASS), China Beidou Navigation Satellite System (BDS) and the European Union’s Galileo. The major improvement in accuracy and precision is based on (1) multiband signal transmitting, (2) carrier phase correction, (3) Real Time Kinematic (RTK). Due to the size and high-cost of today’s survey-grade antenna solutions, this kind of technology is difficult to use widely in the automotive sector. In this paper, a low-cost small size dual-band ceramic GNSS patch antenna is presented from design to real sample. A further study of this patch antenna illustrates the absolute phase center variation measured in an indoor range to achieve a received signal phase error correction. In addition, this low-cost antenna solution is investigated when integrated into a standard multi-band automotive antenna product. This product is evaluated both on its own in an indoor range and on a typical vehicle roof at an outdoor range. By using this evaluation file to estimate the receiver position could achieve phase motion error-free result.
DUAL BAND GNSS ANTENNA PHASE CENTER CHARACTERIZATION FOR AUTOMOTIVE APPLICATIONS
This document discusses the design and evaluation of a dual-band ceramic GNSS patch antenna for automotive applications. It aims to characterize the antenna's phase center variation and offset to achieve carrier phase correction and improve positioning accuracy. The antenna was evaluated on a 250mm ground plane, integrated into a shark-fin antenna on the same ground plane, and mounted on a vehicle roof. The results from indoor and outdoor testing can be used to estimate receiver position with reduced phase error for different vehicle platforms and antenna locations.
DUAL BAND GNSS ANTENNA PHASE CENTER CHARACTERIZATION FOR AUTOMOTIVE APPLICATIONS
This document discusses the design and testing of a dual-band ceramic patch antenna for use in automotive GPS applications. It aims to characterize the antenna's phase center variation and offset to enable high-precision positioning. The antenna was tested on a 250mm ground plane, integrated into a shark-fin antenna product, and mounted on a vehicle roof to measure its performance in different scenarios. The results will help estimate receiver position accurately by accounting for phase errors introduced by the antenna geometry.
DUAL BAND GNSS ANTENNA PHASE CENTER CHARACTERIZATION FOR AUTOMOTIVE APPLICATIONS
This document discusses the design and testing of a dual-band ceramic patch antenna for use in automotive GPS applications. It aims to characterize the antenna's phase center variation and offset to enable high-precision positioning. The antenna was tested on a 250mm ground plane, integrated into a shark-fin antenna product, and mounted on a vehicle roof to measure its performance in different scenarios. The results will help estimate receiver position accurately by accounting for phase errors introduced by the antenna geometry.
DUAL BAND GNSS ANTENNA PHASE CENTER CHARACTERIZATION FOR AUTOMOTIVE APPLICATIONS
High-accuracy Global Navigation Satellite System (GNSS) positioning is a prospective technology that will
be used in future automotive navigation systems. This system will be a composite of the United States'
Global Positioning System (GPS), the Russian Federation's Global Orbiting Navigation Satellite System
(GLONASS), China Beidou Navigation Satellite System (BDS) and the European Union’s Galileo. The
major improvement in accuracy and precision is based on (1) multiband signal transmitting, (2) carrier
phase correction, (3) Real Time Kinematic (RTK). Due to the size and high-cost of today’s survey-grade
antenna solutions, this kind of technology is difficult to use widely in the automotive sector. In this paper, a
low-cost small size dual-band ceramic GNSS patch antenna is presented from design to real sample. A
further study of this patch antenna illustrates the absolute phase center variation measured in an indoor
range to achieve a received signal phase error correction. In addition, this low-cost antenna solution is
investigated when integrated into a standard multi-band automotive antenna product. This product is
evaluated both on its own in an indoor range and on a typical vehicle roof at an outdoor range. By using
this evaluation file to estimate the receiver position could achieve phase motion error-free result.
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This document describes a simultaneous localization and mapping (SLAM) technique implemented in an automatic chair re-arrangement system. The system uses an overhead camera and image processing to track a chair's position and orientation. It determines the angle between the chair and its original location, represented by a red dot. The chair has a magnetometer to determine its heading relative to a defined north. The system calculates needed rotations and movements to maneuver the chair back to its original position when displaced. This demonstrates a SLAM solution to automate returning objects like chairs to their proper locations.
CHSurvey introduce
Chung-Hsing Surveying Co. is a surveying company founded in Taichung, Taiwan in 1969. It was the first private surveying company in Taiwan. The company has 6 departments and 82 employees. It specializes in control surveying, digital terrain modeling, engineering surveying, urban planning, and hydrographic surveying using innovative technologies like terrestrial, mobile, and airborne LiDAR systems as well as hyperspectral imaging. Chung-Hsing was also the first company to adopt GPS in 1992, establish an airborne LiDAR system in 2003, and acquire a commercial hyperspectral imager in 2011.
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NMI 2008 foils
This document discusses challenges in verifying low-power design in silicon implementation. It raises five questions about verifying power consumption, including determining when verification is complete, dealing with power management kits, verifying clock tree power, and ensuring post-placement optimization does not exceed power budgets. It emphasizes that power must be verified at all levels of design from architecture to software, and that full verification requires techniques beyond logic simulation like power budgets, circuit simulation, and careful engineering judgment.
GNSS_System(Heo Moon Beom) remplacement des naviagtion calassique .ppt
The document discusses Global Navigation Satellite Systems (GNSS). It provides an overview of the GPS system including its history, components, signals, measurements, services, modernization efforts, and status. It also briefly discusses other GNSS systems including GLONASS, the Russian global navigation satellite system.
AROSAT_updated-spacesegment_presentation_NO_loghi
The AROSAT satellite has the objectives of achieving very high resolution panchromatic imaging below 0.5m and multispectral imaging at a resolution of around 1.4m. It will have the ability to image targets at angles up to ±35° from nadir. The satellite orbit is a sun-synchronous orbit at around 420km with a repeat cycle of 13 days, allowing for revisits of targeted areas within 2 weeks. The satellite is equipped with an advanced telescope that can image spots or strips with resolutions allowing identification of small objects. It will be launched on a Falcon-E rocket.
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DUAL BAND GNSS ANTENNA PHASE CENTER CHARACTERIZATION FOR AUTOMOTIVE APPLICATIONS
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DUAL BAND GNSS ANTENNA PHASE CENTER CHARACTERIZATION FOR AUTOMOTIVE APPLICATIONS
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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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!
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
20240609 QFM020 Irresponsible AI Reading List May 2024
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Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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- 1. GOCI: Early In-Orbit Performances Han-Dol KIM*, Gm-Sil Kang*, Joo-Hyung Ryu** Pierre Coste † , Philippe Meyer † *Korea Aerospace Research Institute (KARI) **Korea Ocean Research and Development Institute (KORDI) † EADS Astrium July 28, 2011 Vancouver, CANADA 2011 IGARSS TH3.T05
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Editor's Notes
- Spectral band selection is ensured by a 9-position filter wheel: 8 positions correspond to the 8 wavebands, and the ninth one is used for detector dark current measurement by providing a full occultation view.
- Spectral band selection is ensured by a 9-position filter wheel: 8 positions correspond to the 8 wavebands, and the ninth one is used for detector dark current measurement by providing a full occultation view.
- Five Key Elements: Three mechanisms (SCM, FWM, POM), Telescope Assembly and FPA. Functional chain, in the order of: SCM, POM, Telescope Assembly, FWM, FPA Calibration mechanism: SD & Diffuser Aging Monitoring Device (DAMD), a smaller aperture diffuser using identical material to SD (QVD), to be used infrequently and suffer virtually no degradation due to contaminant buildup and polymerization from solar exposure, which allows maintaining the calibration accuracy.
- Spectral band selection is ensured by a 9-position filter wheel: 8 positions correspond to the 8 wavebands, and the ninth one is used for detector dark current measurement by providing a full occultation view.
- Spectral band selection is ensured by a 9-position filter wheel: 8 positions correspond to the 8 wavebands, and the ninth one is used for detector dark current measurement by providing a full occultation view.
- Spectral band selection is ensured by a 9-position filter wheel: 8 positions correspond to the 8 wavebands, and the ninth one is used for detector dark current measurement by providing a full occultation view.
- Spectral band selection is ensured by a 9-position filter wheel: 8 positions correspond to the 8 wavebands, and the ninth one is used for detector dark current measurement by providing a full occultation view.
- Spectral band selection is ensured by a 9-position filter wheel: 8 positions correspond to the 8 wavebands, and the ninth one is used for detector dark current measurement by providing a full occultation view.