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  2. Deep packet inspection - Wikipedia

    en.wikipedia.org/wiki/Deep_packet_inspection

    DPI enables IT administrators and security officials to set policies and enforce them at all layers, including the application and user layer to help combat those threats. [10] [11] Deep Packet Inspection is able to detect a few kinds of buffer overflow attacks. DPI may be used by enterprise for Data Leak Prevention (DLP). When an e-mail user ...

  3. SystemVerilog DPI - Wikipedia

    en.wikipedia.org/wiki/Systemverilog_DPI

    SystemVerilog DPI (Direct Programming Interface) is an interface which can be used to interface SystemVerilog with foreign languages. These foreign languages can be C , C++ , SystemC as well as others.

  4. Deep content inspection - Wikipedia

    en.wikipedia.org/wiki/Deep_content_inspection

    Traditional inspection technologies are unable to keep up with the recent outbreaks of widespread attacks. [2] Unlike inspection methods such as deep packet inspection (DPI), where only the data part (and possibly also the header) of a packet are inspected, deep content inspection (DCI)-based systems are exhaustive, such that network traffic packets are reassembled into their constituting ...

  5. Fluorescent penetrant inspection - Wikipedia

    en.wikipedia.org/wiki/Fluorescent_penetrant...

    Fluorescent penetrant inspection (FPI) is a type of dye penetrant inspection in which a fluorescent dye is applied to the surface of a non-porous material in order to detect defects that may compromise the integrity or quality of the part in question. FPI is noted for its low cost and simple process, and is used widely in a variety of industries.

  6. Corner detection - Wikipedia

    en.wikipedia.org/wiki/Corner_detection

    Corner detection is an approach used within computer vision systems to extract certain kinds of features and infer the contents of an image. Corner detection is frequently used in motion detection, image registration, video tracking, image mosaicing, panorama stitching, 3D reconstruction and object recognition.

  7. Anomaly detection - Wikipedia

    en.wikipedia.org/wiki/Anomaly_detection

    In the oil and gas sector, anomaly detection is not just crucial for maintenance and safety, but also for environmental protection. [21] Aljameel et al. propose an advanced machine learning-based model for detecting minor leaks in oil and gas pipelines, a task traditional methods may miss. [21]

  8. Data processing inequality - Wikipedia

    en.wikipedia.org/wiki/Data_processing_inequality

    Let three random variables form the Markov chain, implying that the conditional distribution of depends only on and is conditionally independent of .Specifically, we have such a Markov chain if the joint probability mass function can be written as

  9. Hybrid-pi model - Wikipedia

    en.wikipedia.org/wiki/Hybrid-pi_model

    Full hybrid-pi model. The full model introduces the virtual terminal, B′, so that the base spreading resistance, r bb, (the bulk resistance between the base contact and the active region of the base under the emitter) and r b′e (representing the base current required to make up for recombination of minority carriers in the base region) can be represented separately.