Engl302 Presentation
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The document discusses potential solutions for GPS use indoors. It outlines three proposed approaches: 1) A high sensitivity GPS receiver that can process weaker signals indoors, 2) An active beacon using ultrasonic sensors for stable indoor localization, and 3) The Unscented Kalman Filter algorithm to improve indoor sensor measurements and overcome disturbances. The document suggests combining these approaches in an experiment to track locations within a building.
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Foss4g2009tokyo Realini Go Gps
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－フリー＆オープンソースGISの祭典－
http://www.osgeo.jp/foss4g2009-in-tokyo/
2009年11月1日(日) ～ 2日(月)
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GPS uses trilateration to determine location based on distances to at least three satellites. Each satellite transmits its precise location and time of transmission. The GPS receiver uses the speed of light and transmission time to calculate distances, allowing it to determine its position at the intersection of distance spheres from multiple satellites. Accuracy relies on precise timekeeping of satellites and receivers.
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The document provides an overview of the Global Positioning System (GPS). It describes how GPS works using a constellation of 24 satellites that orbit the Earth and transmit radio signals. GPS receivers triangulate their position by timing the signals from at least 3 satellites. The system has space, control, and user segments. It is maintained by the US Air Force and provides location services to users worldwide for applications like navigation, mapping, and tracking. Key sources of error include clock errors and atmospheric effects.
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Active Filter (Low Pass)
1. Low-pass filters allow low frequencies to pass through but attenuate frequencies higher than the cutoff frequency. They are implemented using a resistor and capacitor in conjunction with an op-amp amplifier.
2. A first-order low-pass filter has a single RC pair and rolls off at -20dB per decade above the cutoff frequency. Higher-order filters use multiple RC stages to achieve steeper roll-offs such as -40dB per decade for a second-order filter.
3. The cutoff frequency is the frequency at which the gain is 3dB below the maximum and is inversely proportional to the product of the resistor and capacitor values in each stage.
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- It uses ultrasonic and radio signals from beacons to estimate a listener's distance and infer their location.
- Challenges include dealing with interference from multiple beacons and ensuring the closest beacon reflects the correct space.
- Software components include the Cricket listener daemon and beacon software. The listener outputs location data via a serial port.
This is only for slideshare!
The document summarizes the Cricket indoor location system, which uses ultrasonic and radio frequency (RF) signals from beacons to allow devices to estimate their location. Key points:
- Cricket aims to recognize spaces rather than just positions and preserve user privacy.
- It uses passive listeners and active beacons to estimate distance and does not require centralized control.
- Distance is estimated by measuring the delay between an RF signal and ultrasonic pulse from the same beacon.
Its 4:06 on a friday
The document summarizes the Cricket indoor location system, which uses ultrasonic and radio frequency (RF) signals from beacons to allow devices to estimate their location. Key points are that Cricket aims to preserve user privacy, uses passive listeners and active beacons, and estimates distance between devices using time delays between RF and ultrasonic pulses to within a few centimeters. It describes the distributed architecture and discusses challenges like interference between signals and estimating location using multiple beacons.
First Staging Content to all channels
The document provides an overview of the Cricket indoor location system, including its goals, features, and technical details. Key points:
- Cricket aims to recognize indoor spaces rather than just positions and preserve user privacy.
- It uses ultrasonic and radio signals from beacons to estimate a listener's distance and infer their location.
- Challenges include dealing with interference from multiple beacons and ensuring the closest beacon reflects the correct space.
- Software components include the Cricket listener daemon and beacon firmware. The listener outputs location data over a serial port.
Tutorial 8 Cricket
The document summarizes the Cricket indoor location system, which uses ultrasonic and radio frequency (RF) signals from beacons to allow devices to estimate their location. Key points:
- Cricket aims to recognize spaces rather than just positions and preserve user privacy.
- It uses passive listeners and active beacons to estimate distance through time-of-flight of signals.
- Challenges include interference between uncoordinated beacon signals and stray ultrasonic reflections, which are addressed through techniques like carrier sensing and signal enveloping.
- The system has been implemented on prototypes using microcontrollers, ultrasonic sensors, and RF modules. Software components include the cricketd daemon and listener/beacon applications.
DAY-1---5-16-10----K2--Andrew-Owen.pdf
This document discusses how electronic intelligence (ELINT) systems need to evolve to deal with modern radars. It notes that current wideband receivers have limitations like insufficient sensitivity and dynamic range to detect high-power radars. The key aspects that next-generation ELINT systems need are: very high sensitivity across a wide frequency range, signal separation in both frequency and time domains before analysis, manageable data volumes through heavy data reduction while preserving signal coherence, and operating as a digital system. Such systems would have significantly better capability to detect, analyze, and collect intelligence from modern radars employing technologies like electronic scanning arrays and frequency agility.
Positioning in Location Based Services
This document provides an overview of positioning systems, including satellite-based systems like GPS, network-based systems using cellular or wireless networks, and indoor positioning systems using technologies like infrared, radio, ultrasound, and video. It discusses basic techniques for determining location, such as cell of origin, time of arrival, angle of arrival, and measuring signal strength. Specific systems are described, such as GPS, Galileo, GLONASS, network-based techniques from Sony Ericsson and Skyhook, and indoor systems like Active Badge (infrared), SpotON and Active Bat (radio/ultrasound). Future directions of positioning include improving speed, power efficiency, and accuracy across different locations and environments.
PhD_presentation
This document outlines Baharak Soltanian's presentation for their Doctorate of Technology thesis on signal processing algorithms for GNSS receivers. The introduction provides background on how GNSS systems like GPS work, including how signals are transmitted from satellites and used to calculate positioning. The thesis objective is to reduce the complexity of the acquisition algorithm stage in GPS devices to make them more suitable for wearable technologies. Several publications are presented as solutions to address this problem and improve acquisition methods.
final Pres12
This project deals with using frequency selective surfaces (FSS) and multiple-input multiple-output (MIMO) technology to improve wireless coverage and transfer large data files at high speeds in modern offices. The project tested designing and fabricating different FSS structures, and measured their frequency responses. It also measured data transfer speeds between MIMO devices with and without an FSS both inside and in different areas of an anechoic chamber. Results showed the FSS achieved bandwidth stops around 2.2GHz and improved data speeds to 4-5.2Mbps in offices and 2-3Mbps in basements. Future work could involve testing larger FSS sizes and full file transfer protocols to achieve even higher speeds.
A Pyroelectric Infrared Sensor
This document presents a non-terminal based indoor location system called PILAS that uses pyroelectric infrared (PIR) sensors. The PILAS system architecture includes PIR sensors installed in each room, room terminals, and a smart home server that generates a virtual map and provides intelligent services. The PILAS system can locate residents within a room by analyzing the output patterns of overlapping PIR sensors without requiring residents to carry any devices. An experimental test bed demonstrated that the PILAS system can accurately track a resident's movements and locate them with a maximum error of less than 30 cm.
Digital processing of today’s radar signals
The document discusses high resolution surveillance radars, including PILOT radar which was the first marine navigation radar, Tarsier radar which can detect a 2-inch bolt at 1 mile, and trials using Cheddar reservoir. It covers recent advances in harbor and coastal surveillance radars, noting requirements for detecting small targets in sea clutter. Future radars may operate at 24GHz with 1.5m range resolution and very good clutter rejection using coherent processing.
Fractal Antenna
This document provides an overview of fractal antennas and their advantages for wireless communications. Fractal antennas can achieve multiband operation and miniaturization by utilizing fractal geometry which increases the effective antenna length while maintaining a small size. Specific fractal designs like the Koch loop and Sierpinski monopole and dipole are discussed. Fractal antennas have the potential to develop small, low profile antennas for applications like wireless communications.
Intrusion Detection In Open Field Using Geophone (Presentation)
- The document presents a method for intrusion detection in open fields using geophones to detect seismic waves generated by intruders.
- A sensor node is developed that uses a geophone, amplifier, band-pass filter, envelope detector, and microcontroller to analyze seismic signals and detect intrusions based on the kurtosis of the signals.
- If an intrusion is detected, the sensor node wirelessly notifies an unmanned vehicle (UGV) which uses GPS to navigate to the location and take appropriate action. The overall system aims to provide security over large open areas that traditional camera-based methods cannot adequately cover.
Considerations in Wireless Range
Linx explains the considerations for determining and calculating the wireless range of a system, including internal and external factors.
Similar to Engl302 Presentation (20)
Intrusion Detection In Open Field Using Geophone (Presentation)
Intrusion Detection In Open Field Using Geophone (Presentation)
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GNSS spoofing via SDR (Criptored Talks 2024)
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Session 1 - Intro to Robotic Process Automation.pdf
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
JavaLand 2024: Application Development Green Masterplan
My presentation slides I used at JavaLand 2024
Essentials of Automations: Exploring Attributes & Automation Parameters
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
What is an RPA CoE? Session 2 – CoE Roles
In this session, we will review the players involved in the CoE and how each role impacts opportunities.
Topics covered:
• What roles are essential?
• What place in the automation journey does each role play?
Speaker:
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Getting the Most Out of ScyllaDB Monitoring: ShareChat's Tips
ScyllaDB monitoring provides a lot of useful information. But sometimes it’s not easy to find the root of the problem if something is wrong or even estimate the remaining capacity by the load on the cluster. This talk shares our team's practical tips on: 1) How to find the root of the problem by metrics if ScyllaDB is slow 2) How to interpret the load and plan capacity for the future 3) Compaction strategies and how to choose the right one 4) Important metrics which aren’t available in the default monitoring setup.
"Choosing proper type of scaling", Olena Syrota
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
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AI in the Workplace Reskilling, Upskilling, and Future Work.pptx
Discover how AI is transforming the workplace and learn strategies for reskilling and upskilling employees to stay ahead. This comprehensive guide covers the impact of AI on jobs, essential skills for the future, and successful case studies from industry leaders. Embrace AI-driven changes, foster continuous learning, and build a future-ready workforce.
Read More - https://bit.ly/3VKly70
"What does it really mean for your system to be available, or how to define w...
We will talk about system monitoring from a few different angles. We will start by covering the basics, then discuss SLOs, how to define them, and why understanding the business well is crucial for success in this exercise.
Containers & AI - Beauty and the Beast!?!
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Keywords: AI, Containeres, Kubernetes, Cloud Native
Event Link: https://meine.doag.org/events/cloudland/2024/agenda/#agendaId.4211
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdf
So… you want to become a Test Automation Engineer (or hire and develop one)? While there’s quite a bit of information available about important technical and tool skills to master, there’s not enough discussion around the path to becoming an effective Test Automation Engineer that knows how to add VALUE. In my experience this had led to a proliferation of engineers who are proficient with tools and building frameworks but have skill and knowledge gaps, especially in software testing, that reduce the value they deliver with test automation.
In this talk, Lee will share his lessons learned from over 30 years of working with, and mentoring, hundreds of Test Automation Engineers. Whether you’re looking to get started in test automation or just want to improve your trade, this talk will give you a solid foundation and roadmap for ensuring your test automation efforts continuously add value. This talk is equally valuable for both aspiring Test Automation Engineers and those managing them! All attendees will take away a set of key foundational knowledge and a high-level learning path for leveling up test automation skills and ensuring they add value to their organizations.
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Gursev Pirge, PhD
Senior Data Scientist - JohnSnowLabs
From Natural Language to Structured Solr Queries using LLMs
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
Recently uploaded (20)
Session 1 - Intro to Robotic Process Automation.pdf
Session 1 - Intro to Robotic Process Automation.pdf
JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
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Essentials of Automations: Exploring Attributes & Automation Parameters
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Getting the Most Out of ScyllaDB Monitoring: ShareChat's Tips
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...
AI in the Workplace Reskilling, Upskilling, and Future Work.pptx
AI in the Workplace Reskilling, Upskilling, and Future Work.pptx
"What does it really mean for your system to be available, or how to define w...
"What does it really mean for your system to be available, or how to define w...
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdf
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdf
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
From Natural Language to Structured Solr Queries using LLMs
From Natural Language to Structured Solr Queries using LLMs
Engl302 Presentation
- 1. Finding Solutions for GPS Indoors By Fady Rizk
- 3. GPS Receiver
- 18. Thanks for your attention