119 results about "System Generation" patented technology

An apparatus, method, and method for doing business allows two business partners to communicate with each other in an architected manner. A first company monitors for changes to its internal data structure that indicate that communication with a second company may be required. A trigger mechanism monitors the data structure for changes, and invokes a software application when the data structure is changed in a defined manner. The software application extracts the new or changed data from the data structure, formats the data into an XML document, and sends the XML document to the second company via a secure communication mechanism, such as a virtual private network (VPN). The second computer system receives the information from the first computer system, parses the information, and processes the information. The second computer system then generates an appropriate response to the first computer system. In this manner, the first and second computer systems can communicate in an architected manner using XML documents, thereby allowing automation of processes between the two companies.

A real-time approach to detecting aberrant modes of system behavior induced by abnormal and unauthorized system activities indicative of abnormal activity of a software system is based on behavioral information obtained from a suitably instrumented computer program as it is executing. The theoretical foundation is founded on a study of the internal behavior of the software system. As a software system is executing, it expresses a set of its many functionalities as sequential events. Each of these functionalities has a characteristic set of modules that is executed to implement the functionality. These module sets execute with defined and measurable execution profiles among the program modules and within the execution paths of the individual modules, which change as the executed functionalities change. Over time, the normal behavior of the system will be defined by the boundary of the profiles. Abnormal activity of the system will result in behavior that is outside the normal activity of the system and thus result in a perturbation of the system in a manner outside the scope of the normal profiles. Such anomalies are detected by analysis and comparison of the profiles generated from an instrumented software system against a set of nominal execution profiles. Moreover, a method for reducing the amount of information necessary to understand the functional characteristics of an executing software system identifies the common sources of variation among the program instrumentation point frequencies and builds execution profiles based on a reduced set of virtual execution domains.

A power demand modification method and system. The method includes detecting and monitoring by a computing system, a frequency signal associated with an input voltage signal used for powering a plurality of power consumption devices at a specified location. The computing system compares the frequency signal to a predetermined frequency value. The computing system determines that the frequency signal comprises a first value that is not equal to the predetermined frequency value. The computing system calculates a difference value between the first value and the predetermined frequency value. The computing system compares the difference value to a second value. The computing system enables a connection to an uninterruptable power supply (UPS) and performs a power demand modification process associated with the UPS. The computing system generates and stores a report associated with the load adjustment modification process.

For monitoring an HVAC system (1), HVAC data reporting messages are received and stored in a cloud-based computer system (4). Each HVAC data reporting message includes one or more operation data values included by an HVAC controller (22) of the HVAC system (1). The cloud-based computer system (4) generates (S73) remote diagnoses for a particular HVAC device, using a plurality of HVAC reporting messages received from a plurality of the HVAC controllers (22) from one or more HVAC systems (1). Each remote diagnosis is generated (S73) by using more than one operational data value, included in HVAC reporting messages received (S71) received from HVAC controllers (22) of more than one HVAC systems (1) and/or from at least two different types of operational data values. A diagnosis message which includes a remote diagnosis is transmitted to a diagnosis processing system for the particular HVAC device.

An approach is provided for sending pre-defined workflows to a display device of a user device. In one example, the approach includes receiving a request for steps to complete a task associated with a software application. In response to receiving the request for steps, the system obtains at least a first workflow and a second workflow, each workflow including one or more steps that the user device can execute to complete the task. The system receives a request to format the first workflow and the second workflow into one or more view formats. The system generates a summary of the first workflow and a summary of the second workflow. Each summary includes one or more salient attributes of the each workflow. The system sends to the display device at least the first workflow and the second workflow in the one or more view formats.

Training computer models by generating time-aware training datasets is provided. A system receives a secondary dataset to be combined with a primary dataset for generation of a training dataset. The primary dataset includes a plurality of data records where at least one data record corresponds to a time-of-prediction value corresponding to a timestamp at which at least one data record was used to generate a prediction. The secondary dataset includes a plurality of features where at least one feature corresponds to a timestamp value. The system selects a feature within the secondary dataset with a timestamp that precedes or matches a time-of-prediction value for a corresponding data record within the primary dataset. The system generates the training dataset that includes the primary dataset and the selected feature. The system trains a model using the generated training dataset.

A system, computer program and method for inspection of a system under inspection. The system may include an inspection program configured to access information available at the system under inspection and generate inspection data for the system under inspection. A runtime platform independent from the inspection program at the system under inspection is configured to limit the limit the contents of the inspection data to a maximum information content. A trusted third-party computer system may assist in selecting the inspection program and transferring the resulting inspection data.

The present disclosure relates to generating an event specific log file for a computer system. The generation comprises storing buffered log data in at least one memory buffer during an execution of one or more threads in real time. The generation further comprises receiving thread execution data. The generation further comprises inputting the thread execution data into an anomalous program event detector module configured to generate an anomalous program event signal in response to detecting an anomalous program execution event. The generation further comprises searching the buffered log data for event specific log data in the at least one memory buffer with a log dependency analyzer module in response to the anomalous program event signal. The method further comprises writing the event specific log data to an event specific log file using a log archive writer module.

The present disclosure provides computer-implemented method and a system for classification and sorting of one or more addresses to increase productivity of classification and sorting process of the one or more addresses. The system logically partitions a geographical region into one or more zones in real-time. The system fetches an address data from an entity of the one or more entities containing destination address. Further, the system extracts one or more points of interests from the fetched address data based on hardware-run machine learning algorithms. Furthermore, the system generates a signal to determine a zone of the one or more zones associated with the entity of the one or more entities. The system logically updates the one or more zones based on the extracted one or more points of interests in real-time.

The invention discloses a dual-system OTA parallel upgrading method and system. The method comprises the steps: enabling a first hardware system and a second hardware system to enter a recovery mode at the same time, and then synchronously entering a verification mode, i.e., enabling the second hardware system to verify a second OTA upgrading package while the first hardware system verifies a first OTA upgrading package; after verification is completed, enabling the second hardware system to generate an installation instruction and send the installation instruction to the first hardware system, wherein the first hardware system and the second hardware system synchronously enter an installation mode, and the second hardware system also installs a second OTA upgrade package while the first OTA upgrade package is installed in the first hardware system; when the installation is completed, synchronously restarting the first hardware system and the second hardware system. Therefore, according to the method and the system provided by the embodiment of the invention, OTA parallel upgrading of the dual systems can be realized, the dual systems can simultaneously enter a verification mode, synchronously enter an installation mode and simultaneously restart, the upgrading efficiency of the dual systems is improved, the upgrading duration cannot be prolonged, and the user experience is improved.

In various embodiments, a task-based recommendation subsystem automatically recommends workflows for software-based tasks based on a trained machine-learning model that maps different sets of commands to different distributions of weights applied to a set of tasks. In operation, the task-based recommendation subsystem applies a first set of commands associated with a target user to the trained machine-learning model to determine a target distribution of weights applied to the set of tasks. The task-based recommendation subsystem then performs processing operation(s) based on at least two different distributions of weights applied to the set of tasks and the target distribution to determine a training item. Subsequently, the task-based recommendation subsystem generates a recommendation that specifies the training item. Finally, the task-based recommendation subsystem transmits the recommendation to a user to assist the user in performing a particular task.

A system for testing of an application programming interface (API) is disclosed. The system includes a usage data collection source to track a trace identity associated with at least one message exchange pattern of the API using an end to end tracing (E2E) technique, captures usage data of an application in one or more modes, wherein the usage data corresponds to the trace identity. A usage data selection subsystem selects a predefined strata of usage data. A test case generation learning subsystem generates multiple test cases. A mocking subsystem use the trace identity to simulate the at least one message pattern associated with the usage data from a current version of the application against an updated version of the application. A comparison subsystem records an actual result, compares the actual result with an expected result and generates a test result upon comparison of the actual result with the expected result.

Use of a validation data structure in order to securely communicate an encrypted claim that has a decentralized identifier as a subject. The sending system generates the validation data structure and presents the validation data structure to a user that owns the decentralized identifier. The sending system encrypts the claim using at least the validation data structure, and constructs a message that includes the encrypted claim, but which does not include the validation data structure. The relying party receives the message. However, without separately receiving the validation data structure from the user, the relying party computing system cannot decrypt the encrypted claim. If the user wishes the relying party computing system to have access to the claim, the user may communicate the validation data structure to the relying party computing system.

The system generates evidence of a recommended configuration for a distributed system based on a plurality of configuration parameters. The system displays, on a screen of a user device, the evidence, which includes a list of configuration parameters, including a name, a current value, and a recommended value for a respective configuration parameter. The recommended value is obtained based on a strategy for optimizing security, functionality, or both. The system further displays interactive elements which allow the user to: view a resolution of a pair of mutually incompatible constraints resulting in the recommended value for the respective configuration parameter, wherein the resolution includes a name of the configuration parameter removed from the list and a reason for the removal; and view information associated with each of the pair of mutually incompatible constraints, wherein the information includes a name, a goal, a security impact, and a description of the constraint.

The present invention concerns a method for generating one or more system-specific security-definitions (310, 311, 320, 321) for one or more heterogeneous subsystems (S1, S2) of a software system, the method comprising the following steps:

• • a. storing one or more natural-language security-definitions (100) in a rule-repository;
  • b. storing one or more machine-readable security-definitions (200) and a first mapping of each natural-language security-definition (100) onto one or more of the machine-readable security-definitions (200) in the rule-repository; and
  • c. generating the one or more system-specific security-definitions (310, 311, 320, 321) from the one or more machine-readable security-definitions (200) by one or more rule-converters (RC1, RC2) corresponding to the one or more heterogeneous subsystems (S1, S2), wherein the generating is based on a second mapping of each machine-readable security definition (200) onto one or more of the system-specific security-definitions (310, 311, 320, 321).

The invention discloses a simulation method and system based on industrial development software and electronic equipment. The simulation system comprises a product model mapping unit used for importing product information of a target product and mapping a product model corresponding to the target product based on the product information; a product generalization unit connected with the product model mapping unit and used for calling a product part library and determining a product material and a processing path corresponding to the product model; a product algorithm generation unit used for generating a target algorithm for product processing based on the product material and the processing path; and a product system generation unit used for executing the target algorithm to generate a product simulation system, and a product simulation system used for simulating and generating a target product. The technical problems that production products and simulation products cannot be unified and the use of the products is influenced due to the differentiation of industrial software in related technologies are solved.

The invention discloses a train control system software simulation test method, which simulates hardware functions and service logic in a given train control system to realize software simulation of atrain operation process under the train control system, and generates a test case to complete test of a simulation system. The method comprises the following steps of: firstly, analyzing a selected train control system to obtain a functional hardware list and service logic information; secondly, designing a software simulation system to simulate hardware functions and service logic information; and finally, designing a test system, generating a group of train operation data for testing the software simulation system, and obtaining a final train control system software simulation test system.According to the method, the purpose of carrying out instance verification on intelligent network software capable of growing can be achieved through deeper secondary development and different test sequence generation methods.

The embodiment of the invention belongs to the technical field of modular measurement and control systems, and relates to a modular measurement and control system generation method, which comprises the following steps: detecting peripheral AIM modules, and numbering the AIM modules; acquiring a measurement and control function which is appointed by a user and corresponds to the AIM module; according to a measurement and control function specified by a user for the AIM module, extracting an algorithm in an algorithm library, and generating detection firmware corresponding to the AIM module; and burning the detection firmware in a main control core. The invention further provides a generation device of the modular measurement and control system, computer equipment and a storage medium. Program codes needed by a universal module needed in the testing process are modularized and correspond to preset module library files, FPGA firmware is generated, and then drive library files are correspondingly configured and packaged into detection firmware. According to the scheme, the detection firmware can be quickly written according to the bus, the AIM module and the connection structure which are needed in the test process, and the writing efficiency of the detection firmware is high, so that different test working conditions can be quickly adapted.