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Showing 1 to 20 of 30 for “"Data corruption"”.

  1. Scalable Robust Models Under Adversarial Data Corruption

    The presence of noise and corruption in real-world data can be inevitably caused by accidental outliers, transmission loss, or even adversarial data attacks. Unlike traditional random noise usually assume a specific distribution with low corruption ratio, the data collected from crowdsourcing or …

    vt Repository record for Scalable Robust Models Under Adversarial Data Corruption (opens in a new tab)

  2. Survivability modeling for cyber-physical systems subject to data corruption

    … these dependability attributes. Our focus is on data corruption, which compromises decision support -- the fundamental role played by cyber infrastructure. The first research contribution of this work is a Petri net model for information exchange in cyber-physical systems, which facilitates i) …

    must-thes Repository record for Survivability modeling for cyber-physical systems subject to data corruption (opens in a new tab)

  3. FAST AND SECURE INTEGRITY VERIFICATION FOR HIGH-SPEED DATA TRANSFERS

    The amount of data generated by scientific and commercial applications is growing at an ever-increasing pace. This data is often moved between geographically distributed sites for various purposes such as collaboration and archival, leading to significant increase in data transfer rates. Surge in …

    unr Repository record for FAST AND SECURE INTEGRITY VERIFICATION FOR HIGH-SPEED DATA TRANSFERS (opens in a new tab)

  4. Radiation-Hardened Delay-Insensitive Asynchronous Circuits for Multi-Bit SEU Mitigation and Data-Retaining SEL Protection

    … design by providing more integrity against data corruption and lock-ups caused by multi-bit SEUs, and it is expanded to simultaneously provide protection against SEL. The multi-bit SEU mitigation with data-retaining SEL protection architecture extends the original architecture by …

    arkansas Repository record for Radiation-Hardened Delay-Insensitive Asynchronous Circuits for Multi-Bit SEU Mitigation and Data-Retaining SEL Protection (opens in a new tab)

  5. Proof of concept data logger for non-active power

    … uses direct memory access and high speed data capture to allow enough time to perform the new general power theory proposed by Gaunt and Malengret [1]. The results are tested to ensure there is no data corruption and basic calibration is performed. The system has an upper limit of 2 000 Hz …

    cape-town Repository record for Proof of concept data logger for non-active power (opens in a new tab)

  6. Uncertainty Quantification in Security Aware Data Pipelines

    … systems, the diversity and volume of data have expanded. Proper management of sensitive information collected and processed through data pipelines is crucial. Traditional data pipelines usually perform error analysis of the final pipeline output after a detection model. As a result, …

    vt Repository record for Uncertainty Quantification in Security Aware Data Pipelines (opens in a new tab)

  7. Characterizing Single Event Upsets within the lpGBT-based End-of-Substructure Card

    … the ITk are being redesigned to handle increased data rates and a higher radiation environment. Within the ITk, the End Of Substructure (EoS) card is a new custom designed digital board that will provide the data, command, and power interface between on and off-detector electronics. Each EoS card …

    cape-town Repository record for Characterizing Single Event Upsets within the lpGBT-based End-of-Substructure Card (opens in a new tab)

  8. Time Blanking for GBT Data with RADAR RFI

    … Radar. In this thesis, we characterize some data files recorded at the National Radio Astronomy Observatory (NRAO) at Green Bank, West Virginia, USA, where this RADAR system causes significant data corruption. Using this data, we present a blanking technique to separate RFI from cosmic …

    byu Repository record for Time Blanking for GBT Data with RADAR RFI (opens in a new tab)

  9. Random feature subspace ensemble based approaches for the analysis of data with missing features

    <p>Missing data in real world applications is not an uncommon occurrence. It is not unusual for training, validation or field data to have missing features in some (or even all) of their instances, as bad sensors, failed pixels, malfunctioning equipment, unexpected noise causing signal saturation, …

    rowan Repository record for Random feature subspace ensemble based approaches for the analysis of data with missing features (opens in a new tab)

  10. Probabilistic Approach to Avoid Uncorrectable Bit Errors in Storage Systems

    Silent data corruption in storage system poses a significant risk to the integrity ofdata. While error correction codes (ECC) can recover the majority of the errors, a non-negligible portion of them escape ECC, referred to as uncorrectable errors. As the scale of storage systems increases, the mean …

    unr Repository record for Probabilistic Approach to Avoid Uncorrectable Bit Errors in Storage Systems (opens in a new tab)

  11. Mitigation of failures in high performance computing via runtime techniques

    … The smaller the transistors are, silent data corruptions (SDC) are likely to occur more frequently. SDCs do not inhibit execution, but may silently lead to incorrect results. In this thesis, we leverage runtime system and compiler techniques to mitigate a significant fraction of failures …

    uiuc Repository record for Mitigation of failures in high performance computing via runtime techniques (opens in a new tab)

  12. A Supervised Low-Rank Matrix Decomposition for Matching

    … typical of video surveillance, to robotics, metadata enrichment of social media content, and mobile applications. The most recent approaches rely on techniques such as sparse coding and low-rank matrix decomposition. Those build a generative representation of the data that on the one hand, …

    wvu Repository record for A Supervised Low-Rank Matrix Decomposition for Matching (opens in a new tab)

  13. A probabilistic graphical model based data compression architecture for Gaussian sources

    Data is compressible because of inherent redundancies in the data, mathematically expressed as correlation structures. A data compression algorithm uses the knowledge of these structures to map the original data to a different encoding. The two aspects of data compression, source modeling, ie. …

    mit Repository record for A probabilistic graphical model based data compression architecture for Gaussian sources (opens in a new tab)

  14. POSEIDON: The First Safe and Scalable Persistent Memory Allocator

    … for an NVMM allocator to guarantee its heap metadata safety from both internal and external errors. An effective NVMM memory allocator should be 1) safe 2) scalable and 3) high performing. Unfortunately, none of the existing persistent memory allocators achieve all three requisites; critically, …

    vt Repository record for POSEIDON: The First Safe and Scalable Persistent Memory Allocator (opens in a new tab)

  15. Robust and Data-Driven Uncertainty Quantification Methods as Real-Time Decision Support in Data-Driven Models

    The growing complexity and data in modern engineering and physical systems require robust frameworks for real-time decision-making. Data-driven models trained on observational data enable faster predictions but face key challenges—data corruption, bias, limited interpretability, and uncertainty …

    vt Repository record for Robust and Data-Driven Uncertainty Quantification Methods as Real-Time Decision Support in Data-Driven Models (opens in a new tab)

  16. Data Quality of Fleet Management Systems in Open Pit Mining: Issues and Impacts on Key Performance Indicators for Haul Truck Fleets

    Open pit mining operations typically rely upon data from a Fleet Management Systems (FMS) in order to calculate Key Performance Indicators (KPI’s). For production and maintenance planning and reporting purposes, these KPI’s typically include Mechanical Availability, Physical Availability, …

    queens Repository record for Data Quality of Fleet Management Systems in Open Pit Mining: Issues and Impacts on Key Performance Indicators for Haul Truck Fleets (opens in a new tab)

  17. Investigating the effectiveness of Namibia postal services visa cards on the customer's banking satisfaction

    … A mixed research methodology was used to collect data from employees and customers of NamPost through a closed-ended questionnaire, which was completed by 388 customers, and an in-depth interview, which was administered to 12 employees of NamPost in the Erongo Region. The study established that …

    namibia Repository record for Investigating the effectiveness of Namibia postal services visa cards on the customer's banking satisfaction (opens in a new tab)

  18. A real-time, reconfigurable system for energy, error-resilient, and scalable lossless ECG coding

    … the patient 24/7 and transmit alerts and ECG data to parents and doctors as soon as a heart irregularity is detected. With the advances in these systems, there is a need for the incorporation of ECG coding systems to reduce the bandwidth used when data is transmitted and to incorporate methods …

    unm Repository record for A real-time, reconfigurable system for energy, error-resilient, and scalable lossless ECG coding (opens in a new tab)

  19. From experiment to design – fault characterization and detection in parallel computer systems using computational accelerators

    … demonstrate the importance of detecting silent data corruption (SDC) errors that are mainly due to the lack of fine-grained protections and the massive use of fault-insensitive data. This dissertation also presents transparent fault tolerance frameworks and techniques that are directly …

    uiuc Repository record for From experiment to design – fault characterization and detection in parallel computer systems using computational accelerators (opens in a new tab)

  20. Non-Equilibrium Disordering Processes In binary Systems Due to an Active Agent

    … In part II, we introduce a model of binary data corruption induced by a Brownian agent or random walker. Here, the magnetization is not conserved, being related to the density of corrupted bits ρ. Using both continuum theory and computer simulations, we study the average density of corrupted …

    vt Repository record for Non-Equilibrium Disordering Processes In binary Systems Due to an Active Agent (opens in a new tab)

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