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公开(公告)号：US20200160214A1
公开(公告)日：2020-05-21
申请号：US16244236
申请日：2019-01-10
Inventor： Arvind Naganathan Ramakrishnan
Abstract: A system for monitoring one or more lab processes and predicting their outcomes is provided. The system comprises a data acquisition module configured to acquire at least one of: ambient data and experimental data in real time from one or more lab resources and instruments. The system further comprises a process setup and monitoring module configured to receive the acquired data and facilitate setting-up and monitoring of one or more processes in real time utilizing the received data. The system furthermore comprises an experiment prediction module that is configured to obtain data from the data acquisition module and process setup and monitoring module. The experiment prediction module is further configured to employ one or more machine learning techniques on the obtained data to generate one or more patterns to predict outcomes of the one or more processes conducted in the lab in real time.
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公开(公告)号：US20200136933A1
公开(公告)日：2020-04-30
申请号：US16242210
申请日：2019-01-08
Inventor： Hemant Raskar
Abstract: A system and a method for providing service virtualization in a distributed computing architecture without a central server is disclosed. The present invention provides one or more service pods implementable on one or more workstations. Each of the one or more service pods is configured to host one or more virtual services. Each of the one or more service pods interface with one or more live services to generate virtual service data to emulate said live services. The one or more service pods interface with each other via a network fabric technique and interact with one or more client applications to be tested. Each of the one or more service pods are configured to receive and process requests from one or more client applications using various modes of service pods. The present invention provides complete abstraction of the one or more workstations from the one or more service pods.
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公开(公告)号：US20200012649A1
公开(公告)日：2020-01-09
申请号：US16121251
申请日：2018-09-04
Inventor： Harish Chauhan , Jasjit Singh Hari
IPC: G06F16/2455 , G06F16/21 , G06F16/215 , G06F16/22 , G06F9/50
Abstract: A system and a method for adaptive information storage management is provided. One or more parameters from an incoming data stream is identified based on a set of predetermined rules. The identified parameters correspond to a set of predetermined parameters. A subset of rules is applied, from the set of predetermined rules, on the incoming data stream. The subset of rules represent a series of iterative rules associated with each identified parameter. One or more data storage allocation files are generated that represent results of application of the set of predetermined rules and the subset of rules. The results include at least a storage system type identified from the storage system as optimal for storing the incoming data stream.
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公开(公告)号：US10515001B2
公开(公告)日：2019-12-24
申请号：US15600101
申请日：2017-05-19
Abstract: A system and computer-implemented method for automating testing of software applications based on wireframe of the software applications is provided. The system comprises a test plan module configured to create one or more test cases by providing one or more steps corresponding to the one or more test cases based on wireframe of one or more software applications and associate one or more objects, corresponding action and input parameters to each of the one or more steps. The system further comprises an object mapping module configured to map the one or more associated objects to corresponding one or more elements of the one or more software applications. Furthermore, the system comprises a browser execution module configured to execute the one or more created test cases, on one or more browsers, using the mapped one or more objects to test the one or more software applications and generate test execution results.
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公开(公告)号：US10368203B1
公开(公告)日：2019-07-30
申请号：US15980934
申请日：2018-05-16
Inventor： Ranga Vangipuram
IPC: H04W4/029
CPC classification number: H04W4/029
Abstract: A system and method for monitoring and tracking entities in one or more transit points is provided. The present invention provides for receiving one or more types of signaling functions associated with an entity in response to a code generated by a transmitter device. The code comprises a unique transmitter ID associated with a unique entity ID. Further, the invention provides for ascertaining validity of at least one type of signaling function and generating a time stamped record of at least one type of signaling function. Further, the invention provides for processing the code with tracking data to generate an event message. The tracking data comprises at least location of the entity along with other parameters associated with the entity. Further, the invention provides for extracting the unique entity ID and tracking data associated with the entity from the event message, and generating a tracking file.
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Patent Agency Ranking
26.发明申请公开(公告)号：US20190179732A1
公开(公告)日：2019-06-13
申请号：US15886338
申请日：2018-02-01
Inventor： Ramakrishnan Venkatasubramanian , Amarnath Sankar , Carnelian Lamech , Ghatak Anit , Srinivasan Kumarappan , Suraj Sangavkar
Abstract: A system and computer-implemented method for generating software testing scripts from test cases is provided. The system comprises a test case importing module configured to receive test cases and a Natural Language Processing (NLP) module configured to scan and mine text of the received test cases. Furthermore, the system comprises a user interface object identifier to identify one or more User Interface (UI) elements, functional flow models and test steps and corresponding test data. The system also comprises a user interface object mapper to map the one or more identified UI elements from the test cases with one or more user interface elements corresponding to one or more wireframes. In addition, the system comprises a test script generator to receive the mapped one or more UI elements, the identified functional flow models and the identified test steps and corresponding test data for generating test scripts.
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公开(公告)号：US20190058719A1
公开(公告)日：2019-02-21
申请号：US15798661
申请日：2017-10-31
Inventor： Abhishek Kar , Arpit Jain , Kuntal Das , Shyam Kumar
IPC: H04L29/06
Abstract: A system and a method for detecting anomalous activities in a distributed and decentralised network is provided. Anonymous users transacting in the network are identified and one or more transactional attributes are retrieved to define characteristics of users and associated transactional behaviour with other users. Further, user-level statistics are evaluated based on transactional attributes. Datatype representative of transactional behavior of users with other users is generated using user-level statistics of identified users. Users with similar transactional behavior are classified based on generated transactional attributes. One or more anomaly detection techniques are implemented for identifying optimum classification of users into data clusters based on the change detected in the classification of users in data clusters. Anomalous users are identified from the optimum classification for efficiently and effectively detecting anomalous activities in the network.
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公开(公告)号：US20190043055A1
公开(公告)日：2019-02-07
申请号：US15726516
申请日：2017-10-06
Inventor： Abhishek Kar , Aditya Yadav , Akash Bajpai , Shyam Kumar
Abstract: A system and a method for detecting fraudulent transactions at a transaction site by analyzing pattern of events associated with one or more transactions are provided. The present invention provides for forming a collection of most probable fraudulent patterns and true patterns associated with one or more transactions, selecting a pattern classification technique, generating a data input from an ongoing transaction that is interpretable by the selected pattern classification technique, and effectively and efficiently categorising ongoing transaction into fraudulent and genuine transactions using selected pattern classification technique. The present invention may be utilized in a variety of applications where discrete time-ordered visual events are associated with a transaction, for example: vehicles detected in relation to a transit point, badge or card swipes from an automated door lock etc., which indicate trespassing, theft and unauthorized access to restricted areas etc. with a primary focus on retail shrinkage.
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29.发明授权公开(公告)号：US10042619B2
公开(公告)日：2018-08-07
申请号：US14960701
申请日：2015-12-07
Inventor： Kamales Mandal , Tapodhan Sen
Abstract: A system, computer-implemented method and computer program product for efficiently managing enterprise architecture using resource description framework is provided. The system comprises a solution configurator configured to facilitate defining one or more Resource Description Framework (RDF)/Extensible Markup Language (XML) models corresponding to one or more applications. The system further comprises an ontology parser configured to parse the one or more defined RDF/XML models to create corresponding Java objects. Furthermore, the system comprises a solution manager configured to process the one or more parsed RDF/XML models for creating the corresponding one or more applications. Also, the system comprises a user interface generator configured to generate one or more graphical user interfaces corresponding to the one or more created applications, wherein the created one or more applications facilitate efficient management of enterprise architecture.
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公开(公告)号：US20180214087A1
公开(公告)日：2018-08-02
申请号：US15690662
申请日：2017-08-30
Inventor： Mahesh Balaji , Venugopal Gundimeda , Parthasarathi Jinka , Rajkumar Joseph , Sakthi Indra Sambandam , Ratan Sundarrajan Murali , Vinayaka Raj
CPC classification number: A61B5/7264 , A61B3/0025 , A61B3/12 , A61B5/7253 , G06K9/0061 , G06K9/4604 , G06K9/4628 , G06K9/6269 , G06K9/6274 , G06K9/6277 , G06K9/628 , G06K2209/051 , G06T7/0012 , G06T2207/20081 , G06T2207/20084 , G06T2207/30041
Abstract: A system and computer-implemented method for detecting retinopathy is provided. The system comprises an image input module configured to receive one or more fundus images. Further, the system comprises a pre-processing module configured to apply one or more transformations to the one or more received fundus images. Furthermore, the system comprises a feature extraction module configured to extract one or more features from the one or more transformed images using one or more Convolutional Neural Networks (CNNs). Also, the system comprises a prediction module configured to determine stage of retinopathy by classifying the one or more extracted features using pre-stored features, wherein the pre-stored features are extracted from one or more training fundus images by the one or more CNNs and further wherein each pre-stored feature corresponds to a class which is associated with a predetermined stage of retinopathy.
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