Essays about: "Stream anomaly detection"

Showing result 1 - 5 of 8 essays containing the words Stream anomaly detection.

  1. 1. Queryable Workflows: Extending Dataflow Streaming with Dynamic Request/Reply Communication

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

    Author : Chengyang Huang; [2023]
    Keywords : Stream Processing; Observability; SQL Query Engine; Stateful Serverless; Searbetning av Strömmar; Observabilitet; SQL-förfrågningsmotor; Stateful Serverless;

    Abstract : Stream processing systems have been widely adopted in applications such as recommendation systems, anomaly detection, and system monitoring due to their real-time capabilities. Improving observability in stream processing systems can further expand their application scenarios, including the implementation of stateful serverless applications. READ MORE

  3. 2. Can iba detect the next compressor failure? : Condition-based monitoring applied to nitrogen compressor – a case study

    University essay from Högskolan i Gävle/Elektronik

    Author : Kalle Kurttio; [2023]
    Keywords : predictive maintenance; condition-based monitoring; screw compressor; reciprocating compressor; ibaAnalyzer; ibaHD-server;

    Abstract : Production of steel powder is done by atomization of a molten steel stream. Atomization is done by feeding high pressure nitrogen gas through nozzles, creating jets of gas which scatter the molten steel stream into powder. The steel powder falls through the atomization tower whilst it cools and solidifies. READ MORE

  4. 3. Anomaly Detection in Computer Networks

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

    Author : Polyxeni Ioannidou; [2021]
    Keywords : ;

    Abstract : In this degree project, we study the anomaly detection problem in log files of computer networks. In particular, we try to find an efficient way to detect anomalies in our data, which consist of different logging messages from different systems in CERN’s network for the LHC-b experiment. READ MORE

  5. 4. Detecting anomalies in data streams driven by ajump-diffusion process

    University essay from Umeå universitet/Institutionen för fysik

    Author : Carl Paulin; [2021]
    Keywords : machine learning; ML; random forest; anomaly; detection; outlier; analysis; financial modelling; merton; jump-diffusion process; stochastic process; isolation forest; IF; robust random cut forest; RRCF;

    Abstract : Jump-diffusion processes often model financial time series as they can simulate the random jumps that they frequently exhibit. These jumps can be seen as anomalies and are essential for financial analysis and model building, making them vital to detect. READ MORE

  6. 5. Interactive Anomaly Detection With Reduced Expert Effort

    University essay from Högskolan i Halmstad

    Author : Lingyun Cheng; Sadhana Sundaresh; [2020]
    Keywords : Interactive Anomaly Detection; Outlier Detection; User Feedback; Expert Effort;

    Abstract : In several applications, when anomalies are detected, human experts have to investigate or verify them one by one. As they investigate, they unwittingly produce a label - true positive (TP) or false positive (FP). READ MORE