Modern localization technologies - PowerPoint PPT Presentation


Enable 2022: The Localization Tool for PowerBuilder Applications

Enable 2022 offers a comprehensive solution for making PowerBuilder applications multilingual, revolutionizing the way applications are localized. With advanced features like dynamic language switching and support for all languages, Enable Development is a leader in PowerBuilder outsourcing and mana

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Evolution of Robot Localization: From Deterministic to Probabilistic Approaches

Roboticists initially aimed for precise world modeling leading to perfect path planning and control concepts. However, imperfections in world models, control, and sensing called for a shift towards probabilistic methods in robot localization. This evolution from reactive to probabilistic robotics ha

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Reinventing WiFi Signals for Accurate Indoor Localization with BIFROST

This research by the Tsinghua SUN Group introduces BIFROST, a novel approach that reinvents WiFi signals based on dispersion effect to enable precise indoor localization. The study addresses the challenge of limited line-of-sight (LoS) access points in indoor environments through Frequency and Spati

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Tech staffing solution companies | Fixity technologies 2024-2025

Fixity technologies is one of the top staffing solutions providers. We provide staffing solutions that best fit your organization's requirements. \nIn today's dynamic business landscape, finding the right talent is crucial for organizations to thrive and stay competitive. Fixity Technologies emerges

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Evolution of Technologies: A Journey Through Revolutions

Explore the evolution of technologies through different revolutions - from the agricultural revolution to the emerging technologies of the future. Learn about the profound changes in economic relationships and technological conditions that have shaped human society. Discover the role of data, progra

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Challenges and Considerations of Greenhouse Gas Removal Technologies

Greenhouse Gas Removal (GGR) technologies, such as Bioenergy with Carbon Capture and Storage (BECCS) and Direct Air Capture and Carbon Storage, present complex challenges and uncertainties. While nature-based solutions like forest restoration offer potential win-win scenarios, the risks associated w

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Understanding SLAM Techniques for Robot Localization and Mapping

SLAM (Simultaneous Localization and Mapping) is a concept crucial for robots to construct and update maps while tracking their own locations. It is likened to a chicken and egg problem, where building a map and localizing the robot occur concurrently. Hardware, landmarks, and steps involved in SLAM

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Mapping Robot using ROS, Lidar with Raspberry Pi & MATLAB

Turtle.bot is a popular product for home service robots, utilizing SLAM and navigation technologies. It features gyro, Kinect sensors, Lidar, and a laptop for mapping. The robot localizes and navigates using ROS in Raspberry Pi connected with MATLAB. ROS (Robot Operating System) is a set of software

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Localization Techniques in Dental Radiography: Enhancing Depth Perception

Dental radiographs, though two-dimensional, can be limited in depicting depth and bucco-lingual relationships. Localization techniques like the right angle and tube-shift methods are used to accurately locate objects such as foreign bodies, impacted or unerupted teeth, and salivary stones within the

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Positron Emission Tomography: Applications in Society and Recent Developments

Positron Emission Tomography (PET) is a medical imaging technique focusing on metabolic differences in the body. By using positron-emitting radioisotopes, PET can detect how molecules are taken up by healthy and cancerous cells, aiding in accurate tumor localization with lower doses. The evolution o

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Location Privacy Protection using Physical Layer Cooperation

The research presents PhantomPhantom, a system for protecting location privacy by leveraging physical layer cooperation. It explores the challenges of adversary localization systems and proposes solutions such as transmission power and frequency variations. The concept of creating ghost locations an

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Microsoft Indoor Localization Competition 2018 Overview

The Microsoft Indoor Localization Competition 2018 in Porto brought together 34 teams to evaluate and compare technologies for indoor localization. The competition aimed to assess systems in 2D and 3D categories without the need for infrastructure deployment. Teams utilized LiDAR technology and were

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Revolutionizing Indoor Navigation: Anyplace IIN Service by Demetris Zeinalipour

Demetris Zeinalipour's groundbreaking work focuses on revolutionizing indoor navigation with the Anyplace Internet-based Indoor Navigation (IIN) Service. With a strong emphasis on modern localization technologies and a wide range of indoor applications, this service aims to enhance user experiences

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ADAPT to SDGs: Advanced Data Planning Tool for Better Localization and Planning

Explore the importance of data mapping for SDGs, utilizing the ADAPT tool to enhance localization and improve data planning. This tool assists in responding to global calls, assessing statistical capacity, and enhancing data system efficiency. Learn how ADAPT aids in identifying gaps, mapping data d

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Fault Localization (Pinpoint) Project Proposal Overview

The Fault Localization (Pinpoint) project proposal aims to pinpoint the exact source of failures within a cloud NFV networking environment by utilizing a set of algorithms and APIs. The proposal includes an overview of the fault localization process, an example scenario highlighting the need for fau

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Enhancing Image Disease Localization with K-Fold Semi-Supervised Self-Learning Technique

Utilizing a novel self-learning semi-supervised technique with k-fold iterative training for cardiomegaly localization from chest X-ray images showed significant improvement in validation loss and labeled dataset size. The model, based on a VGG-16 backbone, outperformed traditional methods, resultin

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Introduction to Language Technologies at Jožef Stefan International Postgraduate School

This module on Knowledge Technologies at Jožef Stefan International Postgraduate School explores various aspects of Language Technologies, including Computational Linguistics, Natural Language Processing, and Human Language Technologies. The course covers computer processing of natural language, ap

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Exploring Wireless Technologies and Mobile Commerce

Delve into the realm of wireless technologies, mobile computing, and mobile commerce with a focus on the advantages and disadvantages of wireless transmission media, business applications of short-range to long-range networks, m-commerce benefits for businesses, technologies in pervasive computing,

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Social, Economical, and Technical Impact of Clean Energy Technologies

This course covers the management of micro-level clean energy projects, emphasizing the social, economic, and technical impacts of selected clean energy technologies. It discusses project organization, tools, project life cycle, financial analysis, barriers, capacity building, and more. It delves in

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Understanding Neurology: Localization, Neuroaxis Structures, and Motor Neuron Signs

Explore the intricate world of neurology with a focus on brain localization, neuroaxis structures, and the distinctions between upper and lower motor neuron signs. Delve into the functions of brain lobes, brain stem anatomy, and spinal cord functions. Discover how upper motor neuron signs indicate l

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Understanding Localization and Internationalization in ASP.NET Core

Delve into the world of localization and internationalization in ASP.NET Core, learning about the processes of customization for different languages and regions, key concepts like culture and locale, and practical examples of implementing i18n services and injecting localization support into control

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Investigating Biases in Bug Localization Studies: A Critical Analysis

This research delves into potential biases affecting bug localization studies in software development. It explores misclassification of bug reports, pre-localized reports, and issues with ground truth files, shedding light on the challenges in accurately predicting and localizing software bugs.

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Unified Features Learning for Buggy Source Code Localization

Bug localization is a crucial task in software maintenance. This paper introduces a novel approach using a convolutional neural network to learn unified features from bug reports in natural language and source code in programming language, capturing both lexicon and program structure semantics.

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Historical Overview of the SLAM Problem

The SLAM problem, a challenging task in mobile robotics, involves creating maps and determining a robot's pose in an unknown environment. Over time, researchers have made significant progress in solving this problem, dating back to the initial probabilistic methods for localization and mapping in 19

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Understanding SLAM Technology for Autonomous Race Cars

Dive into Simultaneous Localization and Mapping (SLAM) technology used in autonomous race cars. Explore theoretical overviews, implementation methods like Extended Kalman Filter SLAM and Particle Filter SLAM, terms like scan matching and loop-closing, and popular implementations such as GMapping and

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Key Insights on Modern Technologies in Learning Aim Mind Maps

Explore key terms and concepts related to modern technologies in learning aim mind maps, covering aspects such as traditional networks, cloud storage, online applications, synchronization, disaster recovery policies, collaborative technologies, and more. Discover the significance of inclusivity and

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Understanding Robot Localization Using Kalman Filters

Robot localization in a hallway is achieved through Kalman-like filters that use sensor data to estimate the robot's position based on a map of the environment. This process involves incorporating measurements, updating state estimates, and relying on Gaussian assumptions for accuracy. The robot's u

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Understanding Internationalization and Localization in ASP.NET MVC

This content provides an overview of Internationalization (I18N), Globalization (G11N), and Localization (L10N) in ASP.NET MVC. It explains the processes involved in supporting different languages and regions, customizing applications, and the concepts of culture and locale.

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Exploring the World of Localization in Mobile Computing

Delve into the realm of localization within mobile computing through two research threads, smartphone positioning systems, and enabling technology apps. Discover the sudden growth in the smartphone industry and the significance of location in applications, as envisioned by industry leaders. Uncover

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Comparison Study Between ExoMars and Sample Fetch Rover Visual Localization Algorithms

Two space projects, ExoMars and Sample Fetch Rover, are compared based on their Visual Localization algorithms. The study focuses on the timing performance, ease of use, and consistency with previous results of the GR740 processor. Visual Odometry and challenges like motion blur and lighting differe

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Theory and Practice: A Case with Spectrum-Based Fault Localization

This study explores the alignment between theory and practice in the context of Spectrum-Based Fault Localization (SBFL). It delves into the analysis of execution traces, assigning suspiciousness scores to program elements, comparing SBFL formulas like Tarantula and Ochiai, and introducing new formu

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Software Bug Localization with Markov Logic

Software bug localization techniques like Tarantula focus on finding likely buggy code fragments in a software system by analyzing test results, code coverage, bug history, and code dependencies. The lack of an interface layer in existing techniques leads to handcrafted heuristics, posing a persiste

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Exploring Fault Localization Techniques in Software Debugging

Various fault localization techniques in software debugging are discussed, including black-box models, spectrum evaluation, comparison of artificial and real faults, failure modes, and design considerations. The importance of effective fault localization and improving fault localization tools is hig

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ATC Advanced Technologies Committee Overview 2023-2024 Activities

The ATC Advanced Technologies Committee, led by Bert van Duijn, focuses on sharing image data for developing imaging technologies for seed quality testing. With members from 13 countries, the committee engages in various working groups exploring X-ray, molecular, and mathematical technologies. They

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Handling Label Noise in Semi-Supervised Temporal Action Localization

The Abstract Semi-Supervised Temporal Action Localization (SS-TAL) framework aims to enhance the generalization capability of action detectors using large-scale unlabeled videos. Despite recent progress, a significant challenge persists due to noisy pseudo-labels hindering efficient learning from ab

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SonicSurface 2.0: Interactive Mirrors with Sound-Based Localization Technology

SonicSurface 2.0 presents a cutting-edge approach to interactive smart mirrors using sound-based localization technology. By eliminating the need for expensive touch surfaces, this innovation offers a cost-effective and flexible alternative for a range of applications from games to smart home setups

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Understanding Indoor Localization Algorithms

Indoor localization algorithms play a crucial role in determining the position of objects in indoor environments. Various methods such as GPS, TOA, TDOA, AOA, RSSI, and fingerprinting are employed for accurate localization. These algorithms measure factors like signal travel time, angle of arrival,

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Fast and Efficient MPM Solver for Strain Localization Problems

This study presents a fast and efficient Material Point Method (MPM) solver for strain localization problems, introducing the Generalized Interpolation Material Point Method (GIMPM) and Convected Particle Domain Interpolation (CPDI). The MPM computational phase involves mapping, nodal solution, and

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Traffic Localization at the Edge: Implications for User Performance

This paper explores the localization of traffic at the edge network by major content providers, its impact on user performance, and the methodology to measure traffic locality. Using data from the University of Oregon, the study identifies top content providers such as Netflix and Akamai while inves

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Project CANTILO: Advancing 5G Campus Network with TSN Integration

Project CANTILO focuses on developing a 5G campus network in millimeter frequencies with TSN integration and precise localization services. It aims to leverage the unique characteristics of 5G, such as millimeter wave technology, for industrial applications. The project involves channel modeling, ne

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