Moving Towards Fully Ensemble-Derived Background-Error Covariances for NWP at ECCC
The transition from hybrid covariances to fully ensemble-derived background-error covariances for Numerical Weather Prediction (NWP) at Environment and Climate Change Canada (ECCC) is explored in this paper. It discusses the evolution of covariance formulations, the use of scale-dependent localizati
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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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Advanced Instrumentation and Diagnostics for Superconducting Magnets at CERN
Explore the crucial needs for instrumentation and diagnostics at CERN, focusing on superconducting magnets. Topics include voltage and strain measurements, vibration analysis, temperature sensing, quench detection, and magnet form factor considerations. The importance of advanced diagnostics and com
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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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Strategic Digital Initiative Presentation for ECONUM Project
This presentation outlines the strategy and responsible approach for the digital transformation of the ECONUM project. It includes details on the project's objectives, mandatory requirements for project submission, contact information for organizing submission meetings, and key considerations for pr
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Understanding Bayesian Model Comparison in Neuroimaging Research
Exploring the process of testing hypotheses using Statistical Parametric Mapping (SPM) and Dynamic Causal Modeling (DCM) in neuroimaging research. The journey from hypothesis formulation to Bayesian model comparison, emphasizing the importance of structured steps and empirical science for successful
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fMRI Coregistration and Spatial Normalization Methods
fMRI data analysis involves coregistration and spatial normalization to align functional and structural images, reduce variability, and prepare data for statistical analysis. Coregistration aligns images from different modalities within subjects, while spatial normalization achieves precise anatomic
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Coregistration and Spatial Normalization in fMRI Analysis
Coregistration and Spatial Normalization are essential steps in fMRI data preprocessing to ensure accurate alignment of functional and structural images for further analysis. Coregistration involves aligning images from different modalities within the same individual, while spatial normalization aim
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Understanding Network Interference and Censorship in Social Media
Discover the insights into detecting network interference, censorship, and social media manipulation through a collection of case studies, research papers, and real-world examples discussed in a Spring 2018 lecture. Topics include the goals of PAM 2011 paper, the Green Dam and Blue Dam projects, the
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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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Understanding Fingerprint Development Techniques
Exploring the development of latent fingerprints through physical and chemical methods, conditions affecting latent prints, and various fingerprint development techniques like visual examination, powder techniques, and chemical techniques. Techniques such as alternate light sources and powder method
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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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Understanding Gamma Knife Stereotactic Radiosurgery
The Gamma Knife Stereotactic Radiosurgery is a precise and effective treatment method where highly focused radiation beams are used to target tumors and abnormalities in the brain. It does not remove the tumor directly but affects DNA, cell growth, and blood vessels. The procedure involves three mai
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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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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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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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Diagnostic Modalities in Spine: An Overview
This detailed overview discusses various diagnostic modalities used in spine evaluations, including plain X-rays, X-ray with localization, CT scans, and MRI. Each modality's benefits and applications are explored, aiding in understanding different imaging techniques for spine pathology assessments.
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Understanding Fingerprint Development Techniques
Latent fingerprints are hidden impressions left by the friction ridges of the skin which require physical or chemical techniques for visualization. Factors affecting latent prints include surface type, touch manner, weather, humidity, perspiration, and suspect care. Techniques such as visual examina
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Enhancing UI Display Issue Detection with Visual Understanding
The research presents a method utilizing visual understanding to detect UI display issues in mobile devices. By recruiting testers and employing visual techniques, the severity of issues like component occlusion, text overlap, and missing images was confirmed. CNN-based models aid in issue detection
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Automated Program Repair and Anti-Patterns in Search-Based Program Repair
Automated program repair aims to fix bugs in software through fault localization, patch generation, and patch validation using search-based techniques. This research discusses anti-patterns, previous work, repair patterns from human patches, and challenges such as weak oracles in automated program r
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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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