Abstract: Provided are an electromagnetic heating device, a noise suppression method, a heating control system, and a storage medium, which relate to the field of electromagnetic heating technologies. The noise suppression method includes: in response to determining that any two adjacent heating modules of the electromagnetic heating device operate successively, obtaining a start operating frequency of the last-started heating module of the two adjacent heating modules; and adjusting an operating frequency of the first-started heating module of the two adjacent heating modules based on the start operating frequency of the last-started heating module, to allow the two adjacent heating modules to operate synchronously at a same operating frequency when the last-started heating module starts operating.

Abstract: The embodiment of the present disclosure provides a method for quickly optimizing geometric error compensation data of a translational axis of a five-axis numerically controlled machine tool. The method includes: 1) establishing a volumetric positioning error model; 2) establishing an error database; 3) constructing a volumetric error compensation table; 4) establishing a compensation data optimization model to form an optimization model of three face diagonals and one body diagonal in a translational axis linkage mode; 5) completing iterative optimization and selection of the correction coefficients; 6) completing compensation of the geometric errors of the five-axis numerically controlled machine tool; and 7) iterating error correction data to the error database, performing linkage trajectory detection, presetting a positioning error threshold, and cycling the operations 2) to 6) to realize a machine tool precision guarantee system for periodic detection, optimization, and compensation.

Abstract: Embodiments of the present disclosure provide a method of fast optimization and compensation for volumetric positioning errors of rotary axes of a five-axis CNC system machine tool. The method comprises: establishing a volumetric positioning error model; forming an error database containing 12 geometrical error vectors; constructing a volumetric positioning error compensation table; establishing a compensation value optimization model; completing an iterative optimization of compensation values of volumetric positioning errors; generating a volumetric positioning error compensation file for a CNC system to complete compensation for the volumetric positioning errors; and updating the error database, detecting linkage trajectories of the rotary axes, and setting a linkage trajectory positioning error threshold, and guaranteeing accuracy by iteratively implementing detection, optimization, and compensation.

Abstract: Systems and methods for intelligent device grouping are disclosed. An environment, such as a home, may have a number of voice-enabled devices and accessory devices that may be controlled by the voice-enabled devices. One or more models, such as linguistics model(s) and/or device affinity models may be utilized to determine which accessory devices are candidates for inclusion in a device group, and a recommendation for grouping the devices may be provided. Device-group naming recommendations may also be generated and may be sent to users.

Abstract: Described are systems, methods, and apparatus that gathers environment condition data from different sensors at various locations within an area, aggregates the environment condition data to produce aggregated environment condition scores for the area and provides the aggregated environment condition scores to different locations within the area. While sensor data from a single sensor/device, such as a camera may provide low quality environment information, by collecting and aggregating information from multiple sensors and/or locations in the area, highly accurate aggregated environment condition scores for environment conditions may be realized. The aggregated environment condition scores may be provided to various locations within the area as representative of the environment condition at that point in time within the area, regardless of whether those locations have sensors.

Abstract: Techniques are described for graph based code performance analysis of software, such as software that is being developed and tested in a development environment. Implementations provide a technique for instrumenting code by adding various annotations into the code. Each annotation may be a function call that executes with the annotated code, but does not alter the behavior and/or functionality of the annotated code apart from outputting call tracking information during execution. The call tracking information generated by annotations can be analyzed to generate a call graph that depicts calling relationships between functions in the code. The call graph can be presented within a user interface and/or automatically analyzed to develop recommendations regarding code coverage for testing, impact information describing how changes to one function impact another function, code optimization recommendations, and so forth.

Abstract: Techniques are described for graph based code performance analysis of software, such as software that is being developed and tested in a development environment. Implementations provide a technique for instrumenting code by adding various annotations into the code. Each annotation may be a function call that executes with the annotated code, but does not alter the behavior and/or functionality of the annotated code apart from outputting call tracking information during execution. The call tracking information generated by annotations can be analyzed to generate a call graph that depicts calling relationships between functions in the code. The call graph can be presented within a user interface and/or automatically analyzed to develop recommendations regarding code coverage for testing, impact information describing how changes to one function impact another function, code optimization recommendations, and so forth.

Abstract: Some embodiments provide a program that collects a set of call stack data associated with a set of test cases executed on an application. The program further generates a set of call graphs based on the set of call stack data. Each call graph in the set of call graphs includes a set of nodes representing a set of functions in the application executed in the corresponding test case in the set of test cases. The program also determines, for each call graph in the set of call graphs, a set of short paths and a set of short sequences in the call graph. The program further receives a notification indicating a modification to a function in the application. The program also determines a subset of the set of test cases to test the modification to the function based on the sets of short paths and the sets of short sequences in the set of call graphs.

Abstract: Some embodiments provide a program that collects a set of call stack data associated with a set of test cases executed on an application. The program further generates a set of call graphs based on the set of call stack data. Each call graph in the set of call graphs includes a set of nodes representing a set of functions in the application executed in the corresponding test case in the set of test cases. The program also determines, for each call graph in the set of call graphs, a set of short paths and a set of short sequences in the call graph. The program further receives a notification indicating a modification to a function in the application. The program also determines a subset of the set of test cases to test the modification to the function based on the sets of short paths and the sets of short sequences in the set of call graphs.

Abstract: Test results can be analyzed and linked using an automated system. In a first embodiment, an error log can be received including log data associated with an error. The log data can be parsed to transform it into a standardized format to allow for easier searching and comparison. Once standardized, an automatic comparison can be made between the parsed log data and previous errors obtained from error logs. If a match is found between the parsed log data and a previous error, then the parsed log data can be linked to the previous error so as to generate a relationship between the two.

Abstract: Test results can be analyzed and linked using an automated system. In a first embodiment, an error log can be received including log data associated with an error. The log data can be parsed to transform it into a standardized format to allow for easier searching and comparison. Once standardized, an automatic comparison can be made between the parsed log data and previous errors obtained from error logs. If a match is found between the parsed log data and a previous error, then the parsed log data can be linked to the previous error so as to generate a relationship between the two.