1) Autonomous vehicles like UAVs and UGVs can collaborate to complete complex missions involving mapping multiple locations simultaneously or tracking multiple targets. Using multiple lower-cost autonomous vehicles increases mission flexibility and reduces risk compared to a single vehicle.
2) Proposed applications of UAV collaboration include convoy protection, search and rescue assistance, and coordinated border surveillance. A centralized ground control could task and coordinate multiple UAVs for efficient convoy protection with continuous look-ahead coverage.
3) Software enables users to define missions and tasks, which are then decomposed and assigned to agents. Agents communicate to coordinate plans and synchronize information while accomplishing tasks robustly and efficiently.
This week at Oceanology Americas we presented a paper on SLAM and Optimal Sensor Fusion and outlined how we have implemented this within our real-time navigation and 3D reconstruction tool, 3D Recon.
We have just assembled two 4,000m rated 3D Recon systems. One of these systems is currently undergoing pressure cycle testing while the other is undergoing extensive burn-in testing to ensure long term viability.
We expect to have test tank data later in March, so if you'd like to receive some sample data sets please let us know at sales@zupt.com.
The document discusses the telemetry, tracking and control (TT&C) subsystem for spacecraft. It describes how TT&C provides communication between the spacecraft and ground stations through functions like carrier tracking, command reception, and telemetry transmission. It outlines the key components of TT&C including command systems, telemetry systems, and considerations for antenna size, transmitter power, and interfaces with other spacecraft subsystems.
The telemetry, tracking, and command (TT&C) subsystem allows ground stations to monitor and control satellites. It performs functions like controlling the satellite's orbit and attitude, realigning antennas, receiving and executing commands, tracking the satellite's position, and modulating and transmitting telemetry data about things like voltage, temperature, and tank pressures to ground stations. The subsystem consists of separate telemetry, tracking, and command subsystems that work together to monitor the satellite's conditions and control it from the ground.
The telemetry, tracking and control subsystem allows for two-way communication between the spacecraft and ground stations. It monitors the satellite's status through telemetry measurements of temperatures, voltages and currents, and allows ground stations to send commands to control the satellite's functions. Tracking involves measuring the time delay and Doppler shift of radio signals to determine the satellite's orbit and velocity. The subsystem is crucial for localizing the satellite, transmitting its health data, and receiving commands to perform operations.
This document proposes algorithms using geometric functions like spirals and Lissajous curves to generate smoother trajectories for UAVs performing area coverage compared to the traditional lawnmower approach. The smoother trajectories are expected to reduce the time and energy required for area coverage by 22% and 30% respectively while still achieving at least 98% coverage. The algorithms will be implemented using ROS and experiments conducted in Gazebo simulation to evaluate the performance of the proposed methods versus the lawnmower approach.
1) The document outlines the steps to delineate a catchment area using software like Global Mapper and WMS. It begins with preparing DEM and satellite imagery data and getting GPS coordinates for an outlet point.
2) The initial catchment area is delineated in WMS and streams are verified. The catchment area is then visualized. Relevant data like drainage networks are downloaded and imported.
3) Flow direction and accumulation is calculated using TOPAZ tools in Global Mapper. Contour lines and other data are displayed to finalize the delineated catchment area containing the outlet point.
Unmanned aerial systems (UAS) can be used to create digital terrain models (DTMs) and orthophoto mosaics through structure from motion photogrammetry. The author conducted flights over a 55 hectare area, capturing over 200 images. These images were processed to generate a 5cm resolution orthomosaic, DTM, and contours. Accuracy assessment against RTK GPS data found the DTM had a mean error of 4cm and correlated highly (R2=0.9833) with surveyed elevations, demonstrating UAS can create high quality DTMs for areas up to 100 hectares.
Mars CubeSat Telecom Relay Constellation_JPL FinalRohan Deshmukh
The document proposes a 4-CubeSat constellation in Mars orbit to augment telecommunications relay capabilities for surface assets. The CubeSats would be deployed from a 2022 Mars Telecom Orbiter into a 350 km circular orbit with 70 degree inclination. Each 6U CubeSat would carry an IRIS transponder, Ka-band reflectarray antenna, and UHF antennas to provide direct-to/from-Earth relay and cross-link relay with orbiters. Analysis showed the design could meet power and propulsion requirements to operate for two Mars years.
This document provides an overview of the characterization of atmospheric measurement stations using footprint analysis. It describes how the Stochastic Time-Inverted Lagrangian Transport (STILT) model is used to generate footprints showing the influence region and sensitivity of stations to potential surface fluxes. Various visualization tools are presented that characterize stations based on aggregating ancillary data like land cover types and population within the station's footprint regions. These characterization tools and visualizations will be available as a service to help interpret measurements from stations like Trainou, France.
This document provides information about GPS (Global Positioning System) and planimeters. It describes the three main parts of GPS as satellites, receivers, and software. It explains how GPS works by using signals from satellites to calculate a receiver's distance and position on Earth. Examples of GPS applications include navigation, agriculture, surveying, and more. The document also gives an overview of how planimeters can be used to accurately measure the area of any shape on a plane or map. It describes the two main types of planimeters as polar and roller planimeters.
This document discusses the design of a controller for an articulated heavy vehicle (AHV) with an active trailer steering (ATS) system operating over a wireless network control system. Time-varying delays in the wireless network can affect stability of the closed-loop system. The AHV is modeled with three degrees of freedom. A linear quadratic regulator (LQR) output feedback controller is designed to maintain stability despite varying network delays. A gain scheduling controller selects appropriate LQR gains according to the detected time delay.
The document discusses the Joint Direct Attack Munition (JDAM), which uses a GPS guidance kit to convert unguided bombs into precision-guided munitions. It describes how JDAM uses an inertial navigation system and GPS receiver to guide the weapon to its target with accuracy. JDAM allows "fire and forget" capability without needing ground control once deployed from an aircraft. The document provides details on how GPS, inertial guidance, and differential GPS are used to navigate and guide the JDAM to its target.
Triton UAS Technical Design Paper 2020-2021KennyPham19
The document summarizes the design of an unmanned aerial system called the Swallow created by Triton Unmanned Aerial Systems for the 2021 AUVSI student competition. Key aspects of the design include the fixed-wing aircraft chosen, the autopilot and ground control system used, computer vision systems for object detection and classification from images, and algorithms for autonomous path planning that avoids obstacles while completing mission tasks. The team's goal is to have a system that can autonomously identify and classify ground targets from images taken during flight.
Resource aware and incremental mosaics of wide areas from small scale ua vsbhaskar reddy gurram
Resource-aware and incremental mosaics of wide areas from small-scale UAVs.
we study the problem of placing mobile sensors to get high coverage, Based on Voronoi diagrams.
BASIC PROTOCOLS,VIRTUAL MOVEMENT PROTOCOLS
This document describes a student project to simulate air traffic control. It outlines the key aspects of real-time operating systems and how they apply to air traffic control. The project uses the V-model process and is implemented in Java using a graphical user interface. The simulation considers up to 4 planes, allowing for different landing and takeoff scenarios. It prioritizes tasks based on earliest deadline first. Screenshots demonstrate a sample run of the simulation directing multiple planes safely through the airport airspace.
This document discusses unmanned aerial vehicles (UAVs or drones) and their components. It provides information on:
1) The basic components of a quadcopter drone, including the frame, motors, electronic speed controllers (ESCs), inertial measurement unit (IMU), GPS, autopilot/flight controller, flight computer, battery, and camera.
2) Key software used in drone systems, such as DroneKit, QGroundControl, Mission Planner, MAVLink, and MAVProxy.
3) The roles of the autopilot/flight controller, ESCs, brushless motors, IMU, GPS, telemetry, and camera in drone functionality and autonomous flight.
This document proposes a method for optimizing task distribution in target tracking using unmanned aerial vehicles (UAVs) and edge computing. It describes a system where UAVs track targets and offload computationally intensive tasks to edge nodes for processing. The authors develop an algorithm that considers transmission energy consumption and execution time to select optimal edge nodes. Simulation results show their proposed UAV-enabled edge computing approach outperforms existing techniques in target tracking while minimizing costs.
The document summarizes the system architecture of the Global Hawk unmanned aerial vehicle. It describes Global Hawk as a high-altitude, long-endurance aircraft system used for intelligence, surveillance, and reconnaissance missions. The key components of the Global Hawk system are the unmanned air vehicle, a common ground segment for command and control, and support systems. The air vehicle carries sensor payloads and has autonomous flight and navigation capabilities. The common ground segment includes a mission control element and launch/recovery element to monitor the vehicle and payload data and control missions.
6 [progress report] for this leisurely side-project I was doing in 2016Youness Lahdili
1) The document is a progress report for a research project on implementing stereo vision and structure from motion algorithms on an FPGA to enable autonomous navigation of unmanned vehicles without human control.
2) The goal is to use stereo vision depth to estimate the vehicle's trajectory and detect obstacles, and to incorporate structure from motion to continuously adapt the trajectory and ensure the vehicle reaches its destination.
3) The proposed system would be tested on a quadcopter drone equipped with cameras and an FPGA, with the aim of autonomously taking off, navigating to a destination while avoiding obstacles, and landing, to demonstrate autonomous navigation capabilities.
Design and Structural Analysis for an Autonomous UAV System Consisting of Sla...IOSR Journals
An Unmanned Aerial Vehicle (UAV) is an aircraft without a human pilot. It can either be controlled manually by a pilot on the ground using a trans-receiver or it can be programmed to operate autonomously. In this proposed control system, multiple slave Micro Aerial Vehicles(MAV) are dispatched from a master UAV for surveillance. All the MAVs are synchronized with each other through the master UAV which highlights their purpose and position. The master UAV acts as a mobile base for the surveillance, it stores the data collected by the MAVs and transmits them to a remote base. A design of the UAV-MAV system and its performance analysis is presented.
Design and Structural Analysis for an Autonomous UAV System Consisting of Sla...IOSR Journals
Abstract: An Unmanned Aerial Vehicle (UAV) is an aircraft without a human pilot. It can either be controlled manually by a pilot on the ground using a trans-receiver or it can be programmed to operate autonomously. In this proposed control system, multiple slave Micro Aerial Vehicles(MAV) are dispatched from a master UAV for surveillance. All the MAVs are synchronized with each other through the master UAV which highlights their purpose and position. The master UAV acts as a mobile base for the surveillance, it stores the data collected by the MAVs and transmits them to a remote base. A design of the UAV-MAV system and its performance analysis is presented.
Keywords- Autonomous control, Characteristics, Linux, Master / Slave Aerial Vehicles, NX 8.0 Nastran, Surveillance.
Advanced UAV Trajectory Generation Planning And GuidanceStephen Faucher
The document discusses trajectory generation and guidance capabilities for unmanned aerial vehicles (UAVs). It presents the Trajectory Generation and Guidance Module (TG2M), a software tool that can generate complex 6-degree-of-freedom trajectories in 3D space while meeting velocity, acceleration, orientation and time constraints. The TG2M is an extension of the Aerial Vehicle Control Language (AVCL) architecture. It uses analytical functions and polynomial interpolation to model trajectories and constraints such as kinematics. Simulation results using a helicopter simulator demonstrate the TG2M's ability to fly aggressive and simple maneuvers.
This document summarizes the functions and components of a Mission Planning and Control System (MPCS) for unmanned aerial vehicles (UAVs). The MPCS controls launch, flight and recovery of the UAV. It processes sensor data and controls the payload. Key components include displays for vehicle and payload status, map displays for mission planning, a data link for communication, and computers for interface, navigation and calculations. The MPCS allows operators to plan missions, monitor the UAV's position, control the vehicle and payload, and save sensor data. Modes of control include full remote control, assisted remote control, exception control, and full automation. The document also discusses controlling payloads and missions.
This document provides an overview of mixed integer linear programming (MILP) and its application to unmanned aerial vehicle (UAV) path planning. MILP can be used to solve problems formulated as systems of linear constraints and find optimal solutions. It has previously been used to plan collision-avoiding paths for multiple UAVs, but was computationally intensive, taking over a minute. This implementation aims to reduce computation time by using receding horizon control (RHC) and connected components to break the problem into smaller pieces that can be solved simultaneously. Commonly used constraints include dynamics, maximum speed/force, and minimum separation distance between UAVs. Results show the new approach planned paths for 3 and 6 UAVs
Time and Energy Minimized Trajectories for LANs of DronesDr. Amarjeet Singh
Controlling UAV movements in a UAV network is a
critical but not well-studied research area in UAV network
research. In this paper, we consider the problem of finding
time and energy minimized trajectories for LANs of Drones
(LoDs) by computationally inexpensive method. A LoD is a
novel type of UAV network, which uses a minimum number
of UAVs to perform any collaborative task. For both
criterions of time and energy minimization, we formulate
separate nonlinear constrained optimization problems and
use Sequential Quadratic Programming method to obtain
local optimum solutions. These minimization methods were
tested by carrying out a range of simulations in MATLAB
environment.
A Review on Longitudinal Control Law Design for a Small Fixed-Wing UAVIRJET Journal
This document reviews various techniques for designing longitudinal control laws for small fixed-wing unmanned aerial vehicles (UAVs). It discusses techniques such as integral sliding mode control, linear quadratic regulator (LQR), Apriltags recognition algorithm with PID control, observer Kalman identification with PID control, root locus method, nonlinear model simulation, and multi-model techniques. These techniques have been applied to problems such as longitudinal guidance, stability augmentation, autonomous landing, and modeling fixed-wing UAV dynamics. The document analyzes the effectiveness and robustness of different proposed control schemes through simulations and comparisons of various techniques.
Dependable Low-altitude Obstacle Avoidance for Robotic Helicopters Operating ...Farid Kendoul
This document presents a system that enables robotic helicopters to fly safely without user interaction at low altitude over unknown terrain with static obstacles. The system utilizes a novel reactive behavior-based method and two flight modes, pirouette descent and waggle cruise, which extend the field of view of a vertically mounted 2D LIDAR system using yaw motion of the helicopter. Extensive flight testing showed that the system reliably guides helicopters to specified locations dependably using simple but effective methods.
Comparative Study of Indoor Navigation Systems for Autonomous FlightTELKOMNIKA JOURNAL
Recently, Unmanned Aerial Vehicles (UAVs) have attracted the society and researchers due to
the capability to perform in economic, scientific and emergency scenarios, and are being employed in large
number of applications especially during the hostile environments. They can operate autonomously for
both indoor and outdoor applications mainly including search and rescue, manufacturing, forest fire
tracking, remote sensing etc. For both environments, precise localization plays a critical role in order to
achieve high performance flight and interacting with the surrounding objects. However, for indoor areas
with degraded or denied Global Navigation Satellite System (GNSS) situation, it becomes challenging to
control UAV autonomously especially where obstacles are unidentified. A large number of techniques by
using various technologies are proposed to get rid of these limits. This paper provides a comparison of
such existing solutions and technologies available for this purpose with their strengths and limitations.
Further, a summary of current research status with unresolved issues and opportunities is provided that
would provide research directions to the researchers of the similar interests.
The document proposes a space-based solar power system using a 15 km long satellite that focuses sunlight onto a photovoltaic array to generate 3 GW of power. The power would be transmitted to Earth via a microwave beam to a receiving "rectenna". Robots on the satellite would assemble and repair components. Economic analysis suggests generation costs could be less than 5 cents per kWh.
This document discusses drones and their applications. It begins by defining drones as unmanned aerial vehicles that are either remotely controlled or fly autonomously. It then describes the main components of drones and how they work. The document outlines several common types of drones categorized by number of propellers. It provides examples of how drones are used for applications such as mapping, construction, agriculture, mining, monitoring, search and rescue, and science and research. The document also describes an online survey conducted on drone popularity and usage in Hong Kong. It presents the results, which show that drones are not very common but are mostly used for business and leisure. It concludes by discussing further potential developments for drone technology.
This document provides an overview of BARCoMmS, a ground station testing software created by NASA interns for the iSat project. BARCoMmS consists of four main modules - DITL, CFDP, Bulletin, and Command. The CFDP module enables reliable file transfers using CCSDS protocols and includes GUIs for control and monitoring. The Command module sends commands to and displays telemetry from the satellite. All modules communicate through signals and slots in a modular architecture, and additional modules can easily be added. BARCoMmS provides a framework for testing and developing the iSat flight software.
This document discusses using moments to estimate the performance of re-routing in vehicular ad hoc networks (VANETs). It first provides background on VANETs and their characteristics. It then discusses using an ant colony optimization algorithm to optimize re-routing and estimating the performance analytically using moments to allow for intermediate step analysis. This improves the accuracy of re-routing estimation by considering locations of nodes between the starting and ending points. The document provides an example algorithm and procedure for computing potential re-routes and identifying the shortest path using node locations and distances.
Rob Thompson, Falcon Foundation 2018 Small Unmanned Systems Business Expo P...sUAS News
Rob Thompson has extensive experience in aviation and unmanned aircraft systems. He started Falcon Foundation UAS LLC in 2017 to work in the energy sector and advocate for UAS STEM education and counter-UAS technology. Thompson sees similarities between challenges of controlling unmanned aircraft in 1944 and modern issues with command and control links, traffic management, and equipment needs. He formed the CUAS Coalition to develop better counter-UAS technology that could help address public safety concerns and reduce pressure for regulations. Thompson has a background in commercial aviation operations, aircraft maintenance and certification, and participated in early FAA studies on pilot communication and avionics design.
gene engelgau - 2018 Small Unmanned Systems Business ExpositionsUAS News
This document provides an overview of parachute recovery system (PRS) requirements for flying drones over people. It discusses that PRS systems can limit impact energy to less than 50 joules as recommended by FAA studies to minimize injury risk. The certification process requires flight testing a PRS integrated with a drone as a system. A PRS generally requires a parachute, deployment system, automatic trigger for problems, and a flight termination system to stop rotors upon deployment. Choosing the right PRS considers factors like weight, strength, deployment characteristics, and reliability through certification testing.
Mike Blades - 2018 Small Unmanned Systems Business Expo PresentationsUAS News
This document summarizes the commercial drone market in 2018. It discusses trends driving growth in the market such as falling costs and increased flexibility of drones. The document outlines the development of the drone ecosystem from early companies to full-stack solutions. It presents forecasts for the commercial drone market that are higher than FAA predictions. The document concludes by discussing emerging trends like automated fleets and opportunities in data services and security.
Justine Harrison - 2018 Small Unmanned Systems Business Expo Presentation - W...sUAS News
This document discusses legal and regulatory developments impacting the commercial drone industry. It outlines current federal and state laws governing drones, as well as ongoing lawsuits. Two proposed bills on the federal level that would impact drones are described. The document then discusses ways for drone companies to identify and mitigate legal risks, including through corporate structure, contracting, insurance, and operational procedures. It concludes with checklist of legal considerations for drone companies.
This document discusses unmanned aerial systems (UAS) and public safety. It covers how UAS present risks that need to be mitigated through policy enforcement, education, and emerging technologies. The author provides their contact information and encourages reporting suspicious UAS activities to the Northern California Regional Intelligence Center. Accomplishments include linking UAS policy to enforcement and addressing cyber threats. Looking ahead, continued work on customizing responses, securing data, and counter-UAS is needed as the drone industry and hobbyist groups grow.
This document provides information about unmanned aerial system (UAS) insurance. It discusses what is covered by UAS insurance policies and what is not covered. It also explains different types of coverage included in UAS policies, such as aircraft liability, contractual liability, and premises liability. The document provides details on policy terms, conditions, pilots covered, territory covered, and premium payment requirements. It emphasizes the importance of selecting an experienced UAS insurance broker and insurer.
This document discusses drone pilot certification and training. It encourages pilots to train professionally through a program that provides 100 hours of training, recertification, safety procedures and emergency testing to achieve competence across four stages - from unconscious incompetence to unconscious competence. The training is developed by public safety professionals and aims to produce pilots with experience in mission flying and emergency procedures through a structured competency-based program.
This document discusses the state of the commercial drone industry and issues surrounding regulation. It notes that some major drone manufacturers have lost over $100 million while others are struggling. It questions whether the drone registration task force missed the mark and if risks have been properly defined. The document advocates for defining performance-based standards, standardizing waivers, and determining where and how much universal traffic management is needed to safely integrate drones into the national airspace. It calls for data-driven decisions and defines questions around implementing a universal traffic management system.
This document discusses various stakeholders involved in drone integration including toy companies, drone dealers, end users, standards organizations, and regulators. It notes the transition from remote piloting to greater automation and declining costs of drone technologies like cell phone tower inspections. Several challenges are mentioned such as a lack of coordination among advocacy groups and standards bodies. Potential solutions proposed include a forensic review of current efforts, establishing priority projects, and expanding drone pilot training programs to involve more of the country.
This document discusses establishing risk thresholds and best practices for small unmanned aircraft systems (sUAS). It proposes starting with a weight threshold of 250 grams and working incrementally upward. Research should evaluate material densities and develop mitigators for different weight categories. Best practices developed by the sUAS community could help mitigate risks by providing checklists and emergency procedures. The document raises questions about developing an engineering code of ethics, independent kinetic energy research, software certification for heavier drones, and appointing a drone integration leader.
Jonathan Downey is the founder and CEO of Drones for the Enterprise, a company that provides drone solutions for enterprises. Drones can inspect cell towers and power lines 3 times faster than traditional methods, saving time and money while improving safety. Drones for the Enterprise develops customizable solutions that integrate with clients' existing workflows and provide actionable data insights while meeting compliance, reliability, and training needs for different applications and industries.
Matternet aims to connect rural and urban communities through small flying vehicles and cloud software. By leveraging breakthroughs in autonomous flight and cloud technology, Matternet hopes to provide an affordable logistics solution to reach the billions of people currently disconnected or struggling with inefficient first/last mile delivery, with an estimated energy cost per mile of just $0.24. However, realizing this vision will require overcoming significant technical and regulatory challenges.
Over the past 23 years, regulations for integrating small unmanned aerial systems (sUAS) into the national airspace system (NAS) have progressed through studies on visual acuity, kinetic energy risks, and beyond visual line of sight (BVLOS) operations. While the 2012 FAA Reauthorization Bill and 2014 NTSB ruling moved integration forward, full regulatory approval for commercial BVLOS operations is still years away. Business operators are advised to consult legal teams and liability insurers to ensure plan compliance as technology like sUAS continues converging across industries.
This document discusses a remote sensing unmanned aerial system (UAS) designed for scientific applications. The UAS can launch and land from anywhere, flies fully autonomously, and collects visual, near-infrared, and thermal data to support science and natural resource management. Specifically, it aims to map nitrogen levels in crops 5 weeks after germination and during flowering, as well as measure top and root zone soil moisture content. Its goals are to deliver timely, actionable information within 12 hours that covers a minimum of 2500 acres from an altitude of at least 1000 feet above ground level.
The document discusses using drones equipped with thermal and visible light cameras called mT-Panoptes to conduct inspections of solar farms. Some key points:
- mT-Panoptes can detect overheated panels and components using thermal imaging to find issues not visible to the naked eye.
- It uses both thermal and visible light cameras simultaneously to cross-reference findings and clarify observations.
- On-board software automatically geotags readings and generates a report mapping any anomalies detected, saving significant time over manual post-processing.
Dave Kroetsch presented on using small unmanned aerial systems (sUAS) for infrastructure inspection. He discussed the challenges of power line inspection using manned aircraft or climbing towers, and how sUAS can overcome these challenges by maintaining a safe standoff distance while still providing high-resolution imagery. Examples were given of using Aeryon Labs' SkyRanger sUAS equipped with an HDZoom30 camera to inspect power lines from hundreds of feet away. The sUAS solution allows for safer, more efficient inspections compared to traditional methods.
This document discusses a drone sports company that has over 6.2 million YouTube viewers and 30,000 social media followers. It hosts large drone meetups and has strong brand loyalty. The company aims to build a worldwide drone community similar to video game streaming platforms and e-sports that have billions of dollars in revenue and larger audiences than the NFL.
1. UAV technology has advanced from remotely piloted vehicles in the 1980s to fully autonomous systems today.
2. UAVs are a cost-effective tool for aerial data acquisition, with lower costs than manned aircraft due to cheaper fuel, no pilot expenses, and easy mobility.
3. RIEGL has developed the RiCopter UAV integrated with the VUX-SYS laser scanning system, allowing for accurate and efficient 3D data collection over a wide field of view from UAV platforms.
The document discusses the objectives and approach of the sUAS Standards Development Task Group, which aims to finalize draft standards related to design, construction, testing, production, and quality assurance for small unmanned aircraft systems (sUAS). The Task Group will work to ensure the standards are acceptable to the FAA and provide affordable, reliable solutions for industry and users. It outlines the Task Group's core team, constraints including FAA guidelines, and process for developing consensus standards through multiple ballots and revisions in alignment with the FAA's Notice of Proposed Rulemaking.
This document discusses a company that provides end-to-end unmanned aerial vehicle (UAV) solutions, including various UAV models with different payloads and endurance capabilities. They offer products, services, and custom solutions to solve unique challenges for commercial applications such as structure inspection, perimeter surveillance, and extending communications networks. Their tethered UAV models can provide payload capacities and days of endurance.
COVID-19 and the Level of Cloud Computing Adoption: A Study of Sri Lankan Inf...AimanAthambawa1
The study’s main objective is to analyse the level of cloud computing adoption and usage during COVID-19 in Sri
Lanka, especially in Information Technology (IT) organisations. Using senior IT employees, this study investigates
what extent their organisation adopts with cloud computing, the level of cloud computing usage, current use of
cloud service model, usage of cloud deployment model, preferred cloud service providers and reasons for adopting
and not adopting cloud computing. The study also describes why cloud computing is a solution for new normal
situations and the cloud-enabled services used during and after the COVID-19 pandemic. The finding suggests
that 87.7% of the organisations currently use cloud-enabled services, whereas 12.3% do not and intend to adopt.
Considering the benefits, cloud computing is the solution post COVID-19 pandemic to run the business way
forward.
It's your unstructured data: How to get your GenAI app to production (and spe...Zilliz
So you've successfully built a GenAI app POC for your company -- now comes the hard part: bringing it to production. Aparavi addresses the challenges of AI projects while addressing data privacy and PII. Our Service for RAG helps AI developers and data scientists to scale their app to 1000s to millions of users using corporate unstructured data. Aparavi’s AI Data Loader cleans, prepares and then loads only the relevant unstructured data for each AI project/app, enabling you to operationalize the creation of GenAI apps easily and accurately while giving you the time to focus on what you really want to do - building a great AI application with useful and relevant context. All within your environment and never having to share private corporate data with anyone - not even Aparavi.
Communications Mining Series - Zero to Hero - Session 3DianaGray10
This is a continuation to previous session focused on Model usage and adapting for Analytics and Automation usecases. We will understand how to use the Model for automation usecase with a demo.
• Model Usage and Maintenance
• Analytics Vs Automation Usecases
• Demo of Model usage
• Q/A
Connector Corner: Leveraging Snowflake Integration for Smarter Decision MakingDianaGray10
The power of Snowflake analytics enables CRM systems to improve operational efficiency, while gaining deeper insights into closed/won opportunities.
In this webinar, learn how infusing Snowflake into your CRM can quickly provide analysis for sales wins by region, product, customer segmentation, customer lifecycle—and more!
Using prebuilt connectors, we’ll show how workflows using Snowflake, Salesforce, and Zendesk tickets can significantly impact future sales.
Redefining Cybersecurity with AI CapabilitiesPriyanka Aash
In this comprehensive overview of Cisco's latest innovations in cybersecurity, the focus is squarely on resilience and adaptation in the face of evolving threats. The discussion covers the imperative of tackling Mal information, the increasing sophistication of insider attacks, and the expanding attack surfaces in a hybrid work environment. Emphasizing a shift towards integrated platforms over fragmented tools, Cisco introduces its Security Cloud, designed to provide end-to-end visibility and robust protection across user interactions, cloud environments, and breaches. AI emerges as a pivotal tool, from enhancing user experiences to predicting and defending against cyber threats. The blog underscores Cisco's commitment to simplifying security stacks while ensuring efficacy and economic feasibility, making a compelling case for their platform approach in safeguarding digital landscapes.
BLOCKCHAIN TECHNOLOGY - Advantages and DisadvantagesSAI KAILASH R
Explore the advantages and disadvantages of blockchain technology in this comprehensive SlideShare presentation. Blockchain, the backbone of cryptocurrencies like Bitcoin, is revolutionizing various industries by offering enhanced security, transparency, and efficiency. However, it also comes with challenges such as scalability issues and energy consumption. This presentation provides an in-depth analysis of the key benefits and drawbacks of blockchain, helping you understand its potential impact on the future of technology and business.
Uncharted Together- Navigating AI's New Frontiers in LibrariesBrian Pichman
Journey into the heart of innovation where the collaborative spirit between information professionals, technologists, and researchers illuminates the path forward through AI's uncharted territories. This opening keynote celebrates the unique potential of special libraries to spearhead AI-driven transformations. Join Brian Pichman as we saddle up to ride into the history of Artificial Intelligence, how its evolved over the years, and how its transforming today's frontiers. We will explore a variety of tools and strategies that leverage AI including some new ideas that may enhance cataloging, unlock personalized user experiences, or pioneer new ways to access specialized research. As with any frontier exploration, we will confront shared ethical challenges and explore how joint efforts can not only navigate but also shape AI's impact on equitable access and information integrity in special libraries. For the remainder of the conference, we will equip you with a "digital compass" where you can submit ideas and thoughts of what you've learned in sessions for a final reveal in the closing keynote.
Integrating Kafka with MuleSoft 4 and usecaseshyamraj55
In this slides, the speaker shares their experiences in the IT industry, focusing on the integration of Apache Kafka with MuleSoft. They start by providing an overview of Kafka, detailing its pub-sub model, its ability to handle large volumes of data, and its role in real-time data pipelines and analytics. The speaker then explains Kafka's architecture, covering topics such as partitions, producers, consumers, brokers, and replication.
The discussion moves on to Kafka connector operations within MuleSoft, including publish, consume, commit, and seek, which are demonstrated in a practical demo. The speaker also emphasizes important design considerations like connector configuration, flow design, topic management, consumer group management, offset management, and logging. The session wraps up with a Q&A segment where various Kafka-related queries are addressed.
Garbage In, Garbage Out: Why poor data curation is killing your AI models (an...Zilliz
Enterprises have traditionally prioritized data quantity, assuming more is better for AI performance. However, a new reality is setting in: high-quality data, not just volume, is the key. This shift exposes a critical gap – many organizations struggle to understand their existing data and lack effective curation strategies and tools. This talk dives into these data challenges and explores the methods of automating data curation.
Keynote : AI & Future Of Offensive SecurityPriyanka Aash
In the presentation, the focus is on the transformative impact of artificial intelligence (AI) in cybersecurity, particularly in the context of malware generation and adversarial attacks. AI promises to revolutionize the field by enabling scalable solutions to historically challenging problems such as continuous threat simulation, autonomous attack path generation, and the creation of sophisticated attack payloads. The discussions underscore how AI-powered tools like AI-based penetration testing can outpace traditional methods, enhancing security posture by efficiently identifying and mitigating vulnerabilities across complex attack surfaces. The use of AI in red teaming further amplifies these capabilities, allowing organizations to validate security controls effectively against diverse adversarial scenarios. These advancements not only streamline testing processes but also bolster defense strategies, ensuring readiness against evolving cyber threats.
LeadMagnet IQ Review: Unlock the Secret to Effortless Traffic and Leads.pdfSelfMade bd
Imagine being able to generate high-quality traffic and leads effortlessly. Sounds like a dream, right? Well, it’s not. It’s called LeadMagnet IQ, and it’s here to revolutionize your marketing efforts.
(Note: Download the paper about this software. After that, click on [Click for Instant Access] inside the paper, and it will take you to the sales page of the product.)
The Zaitechno Handheld Raman Spectrometer is a powerful and portable tool for rapid, non-destructive chemical analysis. It utilizes Raman spectroscopy, a technique that analyzes the vibrational fingerprint of molecules to identify their chemical composition. This handheld instrument allows for on-site analysis of materials, making it ideal for a variety of applications, including:
Material identification: Identify unknown materials, minerals, and contaminants.
Quality control: Ensure the quality and consistency of raw materials and finished products.
Pharmaceutical analysis: Verify the identity and purity of pharmaceutical compounds.
Food safety testing: Detect contaminants and adulterants in food products.
Field analysis: Analyze materials in the field, such as during environmental monitoring or forensic investigations.
The Zaitechno Handheld Raman Spectrometer is easy to use and features a user-friendly interface. It is compact and lightweight, making it ideal for field applications. With its rapid analysis capabilities, the Zaitechno Handheld Raman Spectrometer can help you improve efficiency and productivity in your research or quality control workflows.
2. 2
Control of groups of UAV/UGV by a single operator
- low maintenance, high return
Increase in mission complexity
- ability to perform multiple tasks simultaneously
- mapping of many locations at once
- distributed surveillance of many locations
- ability to track multiple targets moving in
different directions
Lower cost per vehicle and each vehicle is dispensable
- losing one vehicle will not compromise the entire
mission
Benefits of UAV Collaboration
3. 3
ISR Applications – Master/Slave Mode
Would like to use UAV‟s for:
Convoy Protection
• Provide local as well as over-the-horizon visual coverage
Search & Rescue (SAR)
- Assist in search using infrared (IR) camera while flying abreast
with manned helicopter
Perimeter Surveillance/Border Patrol
• Coordinated surveillance and target
recognition and tracking.
4. 4
Multi-Agent Convoy Protection
Centralized Control on Ground
Collaboration between multiple UAVs assigned to Convoy Protection
• Task generation and assignment based on mission situation and UAV profiles
• Ongoing coordination/synchronization between roles
High freq. look-ahead
coverage zone
UAV1UAV3
UAV2
Lon_left Lon_right
Lateral
6. 6
C3UV Collaboration Software
GOALS
•Transmit desired mission from user to agents
•Provide user with fused information from agents
•Decompose and assign tasks among agents in response to dynamic mission definition
•Accomplish tasks in an efficient and robust manner
Agent in range of user
Agent out of range
User
New tasks
Cancel tasks
Command
station
Mission state est. Mission state estimate
8. 8
Mission Definition
User defines the mission
The agents define the tasks
Philosophy
“The user specifies what
he or she would like
accomplished.
The system decides how
to do so efficiently.”
9. 9
CSL: Enables Internet Tasking
Collaborative Sensing Language (CSL):
• XML-based: “Human Readable”
• Can be integrated with multiple languages on multiple operating systems on multiple
platforms (C++, Java, Windows, Safari, Internet Explorer, Firefox, iPhone, Nokia)
• Provides a standard for integration with 3rd parties (outside systems can operate with
the CSL Web Server and can view the feedback in Google Earth and Falcon View)
Applications where the human is too busy to
do much except ask for ISR and to view the
collected information.
10. 10
Agents (UAVs)
Transition Logic: Governs
transitions of tasks and subtasks
Communication: Deconflicts plans
and synchronizes information
between agents vs.
Planner(ex. path-planner):
calculates cost, generates plan and
chooses “todo”
Low-level Controller (ex. waypoint
tracker)
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k
k
k
yxk
PCost
PPlan
T
vvVelocty
yxPosition
AgentID
X
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k
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PCost
T
AgentID
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k
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T
11. 11
Task-Point List
Every process and each agent communicates primarily through the task-
point list
A task-point list exists for each task and is manipulated by each process to
generate a desired mode/task/mission
1
2
3
4
12. 12
Task Allocation
Given n UAVs and m tasks, how do we assign tasks to UAVs?
• Assume that each task is simply a point to be visited, with some time spent at that
point.
• Neglect UAV turn rate constraints – assume constant velocity
• For each UAV, let a tour be an ordered set of targets that it will visit
• Let the cost of tour be the total time required to complete. For a constant velocity
UAV with no turn rate constraint, this time corresponds to distance.
Often this is posed as an instance of the multiple traveling salesman problem
13. 13
Multiple Traveling Salesman
The Multiple Traveling Salesman Problems focuses on minimizing
total cost. For n UAVs, with the cost of a tour for UAV j = Tj
Our problem differs: we should focus on minimizing the max cost of
any tour
• Given that we‟re working with constant velocity UAVs, the cost in fuel of
having a UAV circle is the same as having it do some work.
• For our problem, this corresponds to a minimum clock time problem. This
problem is often referred to as the min-max Vehicle Routing Problem.
14. 14
The Greedy Algorithm- Real Time
In constructing a tour, let the UAV with the lowest cost function for its partial
tour choose the next task.
This algorithm leads to balanced tours among UAVs: all UAVs perform tours
of roughly equal cost.
• For the min-max VRP, optimal solutions will contain tours balanced to within the
maximum distance between any two tasks.
This is a fast algorithm that creates balanced tours
Sub-optimal
15. 20
Cooperative Control:
We would like to consider the team optimization problem, in a distributed
manner
This is a hard problem, especially in real time.
Can we still get „good‟ trajectories without solving the team optimization
problem?
Consider a greedy algorithm (little communication – no negotiation):
Choose U2 conditioned on U1
17. 22
Test Platforms: 1. Sig Rascal 110
airframe
Balsa frame remote control aircraft kit with 110” wingspan
Modifications:
•32 cc gasoline engine with vibration isolation mounts
•Dual fuel tanks for 60 min flight time
•Carbon fiber reinforcement to support payload
•26 lb takeoff weight
•Piccolo avionics system
19. 24
PC104 stack and payload tray
•PC104 with 700 MHz Pentium III processor
•2 GB flash memory (16 GB on vision plane)
•Bidirectional 1 Watt amplifier for 802.11b communication
•Vibration isolating suspension
•Wireless analog video transmitter