Essays about: "data logg"

Showing result 1 - 5 of 9 essays containing the words data logg.

  1. 1. Supervised Failure Diagnosis of Clustered Logs from Microservice Tests

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Amanda Strömdahl; [2023]
    Keywords : Supervised Learning; Failure Diagnosis; Clustered Log Data; Random Forest; SVM; MLP; Övervakad inlärning; feldiagnos; klustrad logg-data; Random Forest; SVM; MLP;

    Abstract : Pinpointing the source of a software failure based on log files can be a time consuming process. Automated log analysis tools are meant to streamline such processes, and can be used for tasks like failure diagnosis. This thesis evaluates three supervised models for failure diagnosis of clustered log data. READ MORE

  3. 2. How to Improve a Planning System and Workflow in a Quality Control Laboratory : A Case Study at Fresenius Kabi in Sweden

    University essay from KTH/Industriell ekonomi och organisation (Inst.); KTH/Industriell produktion

    Author : Nejra Eminovic; Rana Tajik; [2021]
    Keywords : Fresenius Kabi; QC; lab efficiency; WFM; planning; scheduling; Fresenius Kabi; QC; effektivitet; WFM; planering; schemaläggning;

    Abstract : Laboratories within quality control are very complicated to schedule due to the high product mix and diversified products tested with many different analysts and instruments. Thus, it requires a flexible planning system to change and improve the overall lab performance and increase efficiency. READ MORE

  4. 3. Identifying New Fault Types Using Transformer Embeddings

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Mikael Karlsson; [2021]
    Keywords : Transformer Models; Clustering; Embeddings; Deep Learning; Fault Identification; Transformatorbaserade modeller; Klustering; Djupinlärning; Felidentifiering;

    Abstract : Continuous integration/delivery and deployment consist of many automated tests, some of which may fail leading to faulty software. Similar faults may occur in different stages of the software production lifecycle and it is necessary to identify similar faults and cluster them into fault types in order to minimize troubleshooting time. READ MORE

  5. 4. Hudi on Hops : Incremental Processing and Fast Data Ingestion for Hops

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Netsanet Gebretsadkan Kidane; [2019]
    Keywords : Hudi; Hadoop; Hops; Upsert; SQL; Spark; Kafka; Hudi; Hadoop; Hops; Upsert; SQL; Spark; Kafka;

    Abstract : In the era of big data, data is flooding from numerous data sources and many companies have been utilizing different types of tools to load and process data from various sources in a data lake. The major challenges where different companies are facing these days are how to update data into an existing dataset without having to read the entire dataset and overwriting it to accommodate the changes which have a negative impact on the performance. READ MORE

  6. 5. Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms

    University essay from Linköpings universitet/Reglerteknik

    Author : Albin Vestin; Gustav Strandberg; [2019]
    Keywords : evaluation; target tracking; multiple sensors; non-causal; smoother; smoothing; tracking; vehicle tracking; camera; lidar; estimate; estimation; prediction; vehicle dynamics; sensor fusion; real-time tracking; extended kalman filter; filter validation; validation; position estimation; velocity estimation; dynamic model; model complexity; multi object tracking; multiple object; tracking; single object tracking; data association; tracking fundamentals; iterated kalman filter; track management; gnn; global nearest neighbour; mahalanobis; mahalanobis distance; performance evaluation; differential gps; dgps; roi; ego; several sensors; sensors; rmse; root mean square error; invertible motion; anti-causal motion; anti-causal tracking; constant velocity; gnn; imu; tfs; two filter smoother; ekf; rts; radar; inertial measurement unit; nonlinear; nonlinear systems; mono camera; monocular camera; noise model; tracking performance; fixed interval smoothing; m n logic; centralized fusion; non-causal object tracker; car tracking; car dynamics; automotive; active safety; object tracking; automotive industry; thesis; master; reverse dynamics; reverse tracking; reverse sequence; sequence tracking; data propagation; ground truth; estimating ground truth; additional sensors; mounted sensors; true estimates; environment; comparison; algorithm; independent targets; overlapping; measurements; occluded; track switch; improve; lower; uncertainty; more; certain; state; process; noise; covariance; sampling; image; sprt; adas; cnn; cv; pdf; track; target; ego; tracker; tentative track; observatiom; online tracking; offline tracking; online; offline; recorded; sequences; robust; self driving; self-driving; car; traffic; trajectory; true state; scenario; scenarios; future; accurate; output; advanced; driver; assistance; systems; non-linear; complex noise; pedestrian; truck; bus; maneuvering; vehicles; processed; measurement; frame; state; correction; probability; density; function; tuning; likelihood; transition; measurement; motion; model; recursion; gaussian; approximation; distribution; linear; jacobian; multiplicative; noise; ratio; ad; hoc; ad hoc; state; space; approach; backward; auction; euclidean; distance; statistical; threshold; gating; association; margin; normalize; covariance; matrix; fusion; confirmed; rejected; tentative; history; absolute; error; modular; ego motion; parameters; variables; logg; hardware; specification; fused; causal; factorization; independent; uncorrelated; transform; moving; rotation; translation; oncoming; overtaking;

    Abstract : Today, the main research field for the automotive industry is to find solutions for active safety. In order to perceive the surrounding environment, tracking nearby traffic objects plays an important role. READ MORE