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Showing 1 to 20 of 35 for “"Log Files"”.

  1. Log Files for Proactive Monitoring of Big Data

    auckland-tech

  2. An Unsupervised Anomaly Detection Framework for Detecting Anomalies in Real Time through Network System’s Log Files Analysis

    <p>Nowadays, in almost every computer system, log files are used to keep records of occurring events. Those log files are then used for analyzing and debugging system failures. Due to this important utility, researchers have worked on finding fast and efficient ways to detect anomalies in a …

    kennesaw Repository record for An Unsupervised Anomaly Detection Framework for Detecting Anomalies in Real Time through Network System’s Log Files Analysis (opens in a new tab)

  3. Designing and developing a robust automated log file analysis framework for debugging complex system failure

    … of software and hardware systems generate log files detailing system operation during runtime. These log files have long been the go-to source of information for engineers when debugging system failures. As these systems become increasingly complex, the log files generated have exploded in …

    cape-town Repository record for Designing and developing a robust automated log file analysis framework for debugging complex system failure (opens in a new tab)

  4. Log file anomaly detection using knowledge graphs and graph neural networks

    Log files contain valuable information for detecting abnormal behavior. To detect anomalies, researchers have proposed representing log files as knowledge graphs (KGs) and using KG completion (KGC) techniques to predict new facts. However, current research in this area is limited, and there is no …

    utc Repository record for Log file anomaly detection using knowledge graphs and graph neural networks (opens in a new tab)

  5. Enhancing security risk awareness in end-users via affective feedback

    … of a browser-based environment.<br/><br/>Methodology: The methodology employs the use of log files derived from the monitoring solution, and information provided by users during the experiments. Questionnaire data was compared against log files and information provided during experiments, …

    abertay Repository record for Enhancing security risk awareness in end-users via affective feedback (opens in a new tab)

  6. Predicting Hard Drive Failures in Computer Clusters

    … proach to predict failure events based on system log files. These files contain mes- sages that represent a change of system state. While a single message in the file may not be sufficient for predicting failure, a sequence or pattern of messages may be. This approach uses a sliding window …

    wfu Repository record for Predicting Hard Drive Failures in Computer Clusters (opens in a new tab)

  7. Generating Log File Analyzers

    … Programs often store some of their outputs in files known as log files. The task of evaluating test results can be automated by using a log file analyzer. The main goal of this thesis is to design an approach to generate log file analyzers based on a set of state machine specifications. Our …

    uwo Repository record for Generating Log File Analyzers (opens in a new tab)

  8. DisViz: Visualizing real-world distributed system logs with space time diagrams

    … system executions, such as the ShiViz log visualizer [13]. This work builds on top of these tools to provide more debugging information, handle large log files, and be easily instrumented in existing systems. We demonstrate using the tool to debug issues in an implementation of the Raft …

    mit Repository record for DisViz: Visualizing real-world distributed system logs with space time diagrams (opens in a new tab)

  9. 4D Monte Carlo Based Patient Dose Reconstruction Incorporating Surface Motion Measurements

    … the RADPOS system. Motion traces, treatment log files and deformation vectors representing each patient's respiratory motion were used as inputs to the 4D dose reconstructions. Motion measurements were performed for 3 patients undergoing radiation therapy for non-small cell lung cancer, …

    carleton Repository record for 4D Monte Carlo Based Patient Dose Reconstruction Incorporating Surface Motion Measurements (opens in a new tab)

  10. Advanced Statistical Process Control Techniques for Analysis of Medical Linear Accelerator Performance

    Statistical Process Control (SPC) is an approach to measure normal and abnormal variations of a process. Its success rests upon the fact that any process can be mapped by a series of inputs and outputs. SPC techniques are displayed using process behavior charts which are graphs that contain data …

    wfu Repository record for Advanced Statistical Process Control Techniques for Analysis of Medical Linear Accelerator Performance (opens in a new tab)

  11. Quantifying The Magnitude of to tal Dose Deviation Caused By Various Sources of Error Among Iroc Phantom Irradiation Results

    <p>The Imaging and Radiation Oncology Core (IROC) phantoms are used as an end-to-end test of an institution’s radiotherapy processes, and for clinical trial credentialing. Phantoms are treated like patients, and evaluation of the doses received by the thermoluminescent dosimeters (TLDs) inside the …

    uthsc Repository record for Quantifying The Magnitude of to tal Dose Deviation Caused By Various Sources of Error Among Iroc Phantom Irradiation Results (opens in a new tab)

  12. A biological data acquisition platform for problem animals in agricultural areas

    … material for environmental and wildlife biologists. Simulation software is utilised to analyse and optimise the system’s designed network strategy. A theoretical throughput analysis investigated the performance of the system. The results from a series of outdoor tests, one at a rural …

    stellenbosch Repository record for A biological data acquisition platform for problem animals in agricultural areas (opens in a new tab)

  13. Cilkprof : a scalability profiler for Cilk programs

    … information, Cilkprof does not generate large log files that are typical of trace-based profilers. In addition, the profiling algorithm only incurs constant amortized overhead per measurement. CilkProf slows down the serial program execution by a factor of about 10 in the common case, on a …

    mit Repository record for Cilkprof : a scalability profiler for Cilk programs (opens in a new tab)

  14. DATA MINING: TRACKING SUSPICIOUS LOGGING ACTIVITY USING HADOOP

    … identify suspicious user activity by analyzing a log file which then later can help an investigation agency like FBI to track and monitor anonymous user(s) who seek for weaknesses to attack vulnerable parts of a system to have access of it. The project also emphasizes the potential damage that a …

    csusb Repository record for DATA MINING: TRACKING SUSPICIOUS LOGGING ACTIVITY USING HADOOP (opens in a new tab)

  15. The application of the Hadoop software framework in Bioinformatics programs

    … Hadoop software framework as a general methodology in parallelizing Bioinformatics programs.</p> <p>After considering the original calculation algorithms in the serial version of the programs, the available computational resources, the nature of the MapReduce framework, and the optimization of …

    purdue-thes Repository record for The application of the Hadoop software framework in Bioinformatics programs (opens in a new tab)

  16. Bazinių mašininio mokymo modelių taikymas kvantinės chemijos duomenų analizei /

    … the necessary data from Gaussian® 16 program .log files, preparing the said data to be trained on by a machine learning model, training a non-foundation model for the same problem, fine-tune the foundation model with the prepared data and lastly comparing the results of both models. Results …

    vilnius Repository record for Bazinių mašininio mokymo modelių taikymas kvantinės chemijos duomenų analizei / (opens in a new tab)

  17. The relationship between instructor course participation, student participation, and student performance in online courses

    … and learning, particularly in academic technology. However, foundational frameworks for supporting learning in a virtual environment argue that learners need very similar, if not more, instructional engagement and support as the traditional classroom. Moore’s (1989) three types of interaction …

    utc Repository record for The relationship between instructor course participation, student participation, and student performance in online courses (opens in a new tab)

  18. Towards a Process-Oriented Approach to Feedback Research

    … or generative AI. Process measures obtained from log files and keystroke logging were used to investigate behavioral learning engagement and were subsequently examined with regard to their construct validity. The findings demonstrate that behavioral learning engagement mediates the effect of …

    cau-kiel Repository record for Towards a Process-Oriented Approach to Feedback Research (opens in a new tab)

  19. Impact of intrafractional prostate motion on the accuracy and efficiency of prostate cancer treatment on CyberKnife radiotherapy

    … of SBRT on CyberKnife. Prostate tracking log files were acquired from 6 patients with prostate cancer, which comprises18 SBRT fractions and 1,892 X-ray image registrations. Each image contains real-time prostate motion in 6D. The data were compared against clinically used margins to …

    mit Repository record for Impact of intrafractional prostate motion on the accuracy and efficiency of prostate cancer treatment on CyberKnife radiotherapy (opens in a new tab)

  20. Advanced Technologies in Education - Developing the Science Classroom of the Future

    Information communication technology (ICT) nowadays provides innovative learning systems which although routinely available needs adjustment to real educational environments. Due to the complexity of the task an appropriate integration into everyday classrooms is an important global research …

    bayreuth Repository record for Advanced Technologies in Education - Developing the Science Classroom of the Future (opens in a new tab)

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