Abstract: A method includes obtaining from a database: at least one initiating cause that causes a hazard, an initiating cause frequency corresponding to the at least one initiating cause, a set of independent protection layers configured to operate to prevent the hazard and including protection equipment for which no industry safety standards and regulations are defined, and a failure probability of each protection layer. The method includes estimating a frequency of occurrence of the hazard using a product of the initiating cause frequency and a failure probability of the set of independent protection layers. The method further includes adjusting the estimated frequency of occurrence of the hazard based on a change of at least one of: the initiating cause frequency, and a failure probability of a protection layer in the set of independent protection layers.

Abstract: A method and device for n-gram identification and extraction is disclosed. The method includes identifying at least one n-gram from a sentence inputted by a user based on a confidence score associated with each of the at least one n-gram. The method further includes determining a direction context entropy coefficient for each of the at least one n-gram. The method includes iteratively expanding one or more of the at least one n-gram by the smallest n-gram unit at each iteration in a predefined direction in the sentence to generate at least one expanded n-gram, based on an associated direction context entropy coefficient. The method further includes extracting at each expanding iteration one or more of the at least one expanded n-gram based on an associated confidence score. The method includes grouping semantically linked n-grams from the one or more of the at least one expanded n-gram.

Abstract: The present disclosure relates to a method performed in an operator network providing data network connectivity to Machine-to-Machine (M2M) devices, for charging of a service session involving a plurality of the M2M devices. The method comprises, from each of the plurality of M2M devices involved in the service session, receiving a service message comprising a service identifier (SID) corresponding to the service session. The method also comprises, by means of the received SID from each of the plurality of M2M devices, determining the number of M2M devices involved in the service session. The method also comprises, based on the determined number of M2M devices, calculating a charging rate for the service session. The method also comprises using the calculated rate, charging the service session.

Abstract: Methods and system are disclosed that execute an operation associated with a system. In one aspect, upon receiving a request to execute an operation, a connectivity model establishes a connection with a framework. The framework processes the received request and instantiates a system model to execute a user authentication model to authenticate the user initiating the request. Upon authenticating the user, a request model may be executed at the framework. The execution of the request model may process and route the received request to a specific system. Subsequently, a user session may be established by executing a session model at the framework. Upon establishing the user session and receiving the routed request, an operation associated with the request that may be executed may be determined. The determined operation may be executed via the framework.

Abstract: An apparatus, method, and non-transitory machine-readable medium provide for improved feature extraction and fault detection in a non-stationary process through unsupervised machine learning. The apparatus includes a memory and a processor operably connected to the memory. The processor receives training data regarding a field device in an industrial process control and automation system; extracts a meaningful feature from the training data; performs an unsupervised classification to determine a health index for the meaningful feature; identifies a faulty condition of real-time data using the health index of the meaningful feature; and performs a rectifying operation in the industrial process control and automation system for correcting the faulty condition of the field device.

Abstract: The disclosed computer-implemented method for tagging client devices may include (i) receiving from a router at least one network packet that indicates that a client device has attempted to connect to the router and that includes device information identifying the client device, (ii) prompting, automatically in response to receiving the network packet indicating that the client device has attempted to connect to the router, a user to tag the client device with a descriptive name to facilitate management of the client device, (iii) receiving, in response to prompting the user to tag the client device, a tag that indicates a specific descriptive name for the client device, and (iv) transmitting, automatically in response to receiving the tag, the specific descriptive name to at least one of the router and a cloud security server. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A framework for autonomous predictive health monitoring includes online monitoring, offline training, and self-learning components. The monitoring component includes analyzing streaming incoming process data, which includes process variable and key performance indicators (KPIs), from multiple sources, in real time, to determine an overall health index, determine faults, diagnose and isolate faulty process variables that contribute to the health index, and predict a trend and a magnitude of the health index before failure. The self-learning component includes services linked to event management, to correct the health index from probabilities calculated based on operator feedback on true or false events after analyzing each of the detected events, self-tune limits and other model parameters, and trigger training of a model when a new normal pattern is detected.

Abstract: The present disclosure discloses method and guidance providing system for providing real-time guidance to users during troubleshooting of devices. The guidance providing system receives user input indicating troubleshooting actions on device, by user, where user input comprises textual input and non-textual input, identifies object in device associated with troubleshooting actions and state of user while performing troubleshooting actions, from non-textual input. The object identified from non-textual input is mapped with textual input to obtain mapped user input. Consistency of mapped user input is verified based on conversation information and domain specific content associated with device. Sequence of instructions corresponding to mapped user input, based on state of user and one or more similar troubleshooting actions, may be extracted from knowledge database.

Abstract: A method and system for providing dynamic conversation between an application and a user is discussed. The method includes utilizing a computing device to receive a requirement input from the user for the application. The method further includes determining a goal of the user based on the requirement input. Based on the goal, a plurality of conversation threads is initiated with the user, wherein each of the plurality of conversation threads has a degree of association with the goal. Thereafter, a plurality of slots is dynamically generated based on the goal and the plurality of conversation threads. A slot of the plurality of slots stores a data value corresponding to the requirement input of the user.

Abstract: A system and computer-implemented method for automatically categorizing test cases is provided. The system comprises a test case importing module configured to receive one or more test cases and a primary grouping module configured to sort the received test cases based on description of the test cases into groups and form a test case array connecting each of the one or more received test cases with a corresponding group number. Furthermore, the system comprises a test step matrix generator configured to receive the one or more test cases and analyze test steps corresponding to each of the one or more received test cases to create a test step matrix. In addition, the system comprises a matrix concatenator configured to concatenate the test case array with the test step matrix and a secondary grouping module configured to generate one or more groups of test cases belonging to one or more categories.

Abstract: The disclosed computer-implemented method for managing wireless-network deauthentication attacks may include (1) detecting, at the wireless access point, a deauthentication signal, transmitted over a wireless network that is managed at least in part by the wireless access point, that prompts a target computing device to disconnect from the wireless network, (2) determining both that the deauthentication signal is directed to the target computing device and that the deauthentication signal was not initiated by the wireless access point, (3) determining, based at least in part on the determination that the deauthentication signal was not initiated by the wireless access point, that the deauthentication signal represents an illegitimate deauthentication signal, and (4) performing, in response to determining that the deauthentication signal represents an illegitimate deauthentication signal, a security action to mitigate effects of the illegitimate deauthentication signal on the target computing device.

Abstract: The present disclosure discloses method and response generation system for generating dialogue responses for users in real-time. The response generation system receives pair of utterance from one or more sources, where pair of utterance comprise conversation between user and computing device, identifies one or more labels from utterance of pair of utterance that corresponds to user, where one or more labels exhibit relationship. One or more intent corresponding to each of identified one or more labels is determined, where one or more intent is restricted according to current context of utterance of user. A polarity of each of one or more intent is determined based on pre-defined scale comprising left bound and right bound and one or more responses for user are generated until determined polarity for each of labels from identified one or more labels is within pre-defined distance of left bound or right bound of pre-defined scale.

Abstract: A method and device for n-gram identification and extraction is disclosed. The method includes identifying at least one n-gram from a sentence inputted by a user based on a confidence score associated with each of the at least one n-gram. The method further includes determining a direction context entropy coefficient for each of the at least one n-gram. The method includes iteratively expanding one or more of the at least one n-gram by the smallest n-gram unit at each iteration in a predefined direction in the sentence to generate at least one expanded n-gram, based on an associated direction context entropy coefficient. The method further includes extracting at each expanding iteration one or more of the at least one expanded n-gram based on an associated confidence score. The method includes grouping semantically linked n-grams from the one or more of the at least one expanded n-gram.

Abstract: The present disclosure discloses a method and device for diagnosing problems in appliances. The device may receive a user input describing a problem related to an appliance. Further, the device extracts one or more objects from the user input for determining at least one effect of the problem and determines a problem domain based on the one or more objects. Further, the device retrieves a plurality of causes from the problem domain leading to the at least one effect. Furthermore, the device instructs user to perform at least one action and analyses user observations to determine an actual cause of the problem from the plurality of causes, for diagnosing the problem in appliances. The method and device of the present disclosure diagnoses problem in appliances by interacting with the user in real time.

Abstract: The invention provides for a method of using a database assembly. The database assembly comprises at least three computing system. Each of the at least three computing systems comprises at least one application and a local database system. The database assembly further comprise a database integration system and a network connection between each of the at least three computing systems and the database integration system.

Abstract: In one example, a network controller manages a network having many network devices. Network devices can receive the timing flow port role assignments from the network controller based on the controller's global view of the network topology. The controller can also calculate timing offsets to be applied to the network devices, based on timestamp information obtained by the network devices via exchanging time synchronization protocol messages, and the controller can update time clocks on all of the network devices within a single window of time, based on a timing offsets calculated in single iteration of calculations.

Abstract: The present disclosure relates to a method related to an online charging system for a cellular radio communication system. The method includes obtaining a notification that a refill action of a user account for the communication system is pending. The notification includes an identifier (vid) of a refill resource for the refill action. The method also includes inspecting a refill database updated by an account management function of the online charging system to determine whether the refill resource identifier is included therein, indicating whether or not the user account has been refilled based on the refill resource.

Abstract: A method and system for providing dynamic conversation between an application and a user is discussed. The method includes utilizing a computing device to receive a requirement input from the user for the application. The method further includes determining a goal of the user based on the requirement input. Based on the goal, a plurality of conversation threads is initiated with the user, wherein each of the plurality of conversation threads has a degree of association with the goal. Thereafter, a plurality of slots is dynamically generated based on the goal and the plurality of conversation threads. A slot of the plurality of slots stores a data value corresponding to the requirement input of the user.

Abstract: Systems and processes for efficiently cracking of hydrocarbon mixtures, such as mixtures including compounds having a normal boiling temperature of greater than 450° C., 500° C., or even greater than 550° C., such as whole crudes for example, are disclosed.

Abstract: A system and method for reducing latencies of main memory data accesses are described. A non-blocking load (NBLD) instruction identifies an address of requested data and a subroutine. The subroutine includes instructions dependent on the requested data. A processing unit verifies that address translations are available for both the address and the subroutine. The processing unit continues processing instructions with no stalls caused by younger-in-program-order instructions waiting for the requested data. The non-blocking load unit performs a cache coherent data read request on behalf of the NBLD instruction and requests that the processing unit perform an asynchronous jump to the subroutine upon return of the requested data from lower-level memory.