System and method for efficient storage of small files on file-system-based storage devices

    公开(公告)号:US10423574B2

    公开(公告)日:2019-09-24

    申请号:US14807814

    申请日:2015-07-23

    Inventor: Yossi Chai

    Abstract: Methods and systems for storing and managing large numbers of small files. A data processing system includes clients that generate large numbers be stored on a storage device managed by a File System (FS). An Archive Server (AS) receives multiple files from the client, archives the files in larger archives, and sends the archives to the FS for storage. When requested to read a file, the AS retrieves the archive in which the file is stored, extracts the file and sends it to the requesting client. In other words, the AS communicates with the clients in individual file units, and with the storage device in archive units. The AS is typically constructed as an add-on layer on top of a conventional FS, which enables the FS to handle small files efficiently without modification.

    SYSTEM AND METHOD FOR ACCURATE LOCATION OF WIRELESS TERMINALS USING MOBILE INTERROGATION DEVICE

    公开(公告)号:US20190215655A1

    公开(公告)日:2019-07-11

    申请号:US16351932

    申请日:2019-03-13

    CPC classification number: H04W4/023 H04W4/027

    Abstract: A method includes moving an interrogation device through multiple geographical positions. At each geographical position of the interrogation device, a wireless communication terminal is solicited to establish temporary communication with the interrogation device, and a distance value indicative of a distance between the wireless communication terminal and the interrogation device as well as a velocity of the interrogation device is estimated using the temporary communication. A geographical location of the wireless communication terminal is calculated based on multiple estimated distance values and velocities of the interrogation device corresponding to the respective multiple geographical positions of the interrogation device.

    SYSTEM AND METHOD FOR IDENTIFYING PAIRS OF RELATED APPLICATION USERS

    公开(公告)号:US20190215293A1

    公开(公告)日:2019-07-11

    申请号:US16228929

    申请日:2018-12-21

    CPC classification number: H04L51/28 G06K9/6257 G06N20/00 H04L51/16

    Abstract: Systems and methods for passive monitoring of computer communication that does not require performing any decryption. A monitoring system receives the traffic exchanged with each relevant application server, and identifies, in the traffic, sequences of messages—or “n-grams”—that appear to belong to a communication session between a pair of users. Subsequently, based on the numbers and types of identified n-grams, the system identifies each pair of users that are likely to be related to one another via the application, in that these users used the application to communicate (actively and/or passively) with one another. The system may identify those sequences of messages that, by virtue of the sizes of the messages in the sequence, and/or other properties of the messages that are readily discernable, indicate a possible user-pair relationship.

    System and method for keyword spotting using representative dictionary

    公开(公告)号:US10198427B2

    公开(公告)日:2019-02-05

    申请号:US15704702

    申请日:2017-09-14

    Inventor: Yitshak Yishay

    Abstract: Methods and systems for keyword spotting, i.e., for identifying textual phrases of interest in input data. In the embodiments described herein, the input data comprises communication packets exchanged in a communication network. The disclosed keyword spotting techniques can be used, for example, in applications such as Data Leakage Prevention (DLP), Intrusion Detection Systems (IDS) or Intrusion Prevention Systems (IPS), and spam e-mail detection. A keyword spotting system holds a dictionary of textual phrases for searching input data. In a communication analytics system, for example, the dictionary defines textual phrases to be located in communication packets—such as e-mail addresses or Uniform Resource Locators (URLs).

    Labeling/naming of themes
    136.
    发明授权

    公开(公告)号:US10191978B2

    公开(公告)日:2019-01-29

    申请号:US14588914

    申请日:2015-01-03

    Inventor: Roni Romano

    Abstract: By formulizing a specific company's internal knowledge and terminology, the ontology programming accounts for linguistic meaning to surface relevant and important content for analysis. The ontology is built on the premise that meaningful terms are detected in the corpus and then classified according to specific semantic concepts, or entities. Once the main terms are defined, direct relations or linkages can be formed between these terms and their associated entities. Then, the relations are grouped into themes, which are groups or abstracts that contain synonymous relations. The disclosed ontology programming adapts to the language used in a specific domain, including linguistic patterns and properties, such as word order, relationships between terms, and syntactical variations. The ontology programming automatically trains itself to understand the domain or environment of the communication data by processing and analyzing a defined corpus of communication data.

    Counter-flow detection in compressed video

    公开(公告)号:US10176684B2

    公开(公告)日:2019-01-08

    申请号:US15617418

    申请日:2017-06-08

    Inventor: Zvi Figov Nir Naor

    Abstract: A system and method to determine a flow direction automatically so that counter-flow motion may be detected without user calibration is disclosed. The system and method utilize information available from existing video compression algorithms to sense motion and determine a flow direction. Once a flow direction for an area is determined, the system and method can detect counter-flow motion using compressed video without any decompression, thereby improving the speed of detection and simplifying the computational complexity. These improvements facilitate counter-flow alarms and expand the information available to a user monitoring the video.

    Diarization using linguistic labeling

    公开(公告)号:US10134401B2

    公开(公告)日:2018-11-20

    申请号:US14084976

    申请日:2013-11-20

    Abstract: Systems and methods of diarization using linguistic labeling include receiving a set of diarized textual transcripts. A least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcripted audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcripted customer service interaction.

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