Abstract: A positioning method and a positioning apparatus are provided. The positioning method is applied to a lock end and includes the following. The lock end sends first information and records a first sending moment of the first information. The key end receives the first information, records a first receiving moment, and sends second information to the lock end, where the second information includes request information, a second sending moment of the request information, and the first receiving moment. The lock end receives the second information, records a second receiving moment, and calculates a difference between the second sending moment and the first receiving moment. The lock end calculates a distance between the lock end and the key end according to the first sending moment, the second receiving moment, and the difference between the second sending moment and the first receiving moment.

Abstract: A control circuit of an isolated power supply, an isolated power supply and a control method thereof are disclosed. The control circuit includes a primary original signal generator generating a primary original turn-on signal based on a voltage feedback signal of an output voltage of the isolated power supply, and a secondary control signal generator generating a secondary control signal based on a secondary voltage signal and the primary original turn-on signal. In a current switching period, only when an expected turn-on instant for a primary main transistor switch is earlier than an expected turn-on instant for a secondary synchronous rectifier, will the secondary control signal provide an indication to turn on the secondary synchronous rectifier.

Abstract: A control circuit and method for an isolated switching-mode converter are disclosed. The control circuit includes a primary-side controller and a secondary-side controller. The primary-side controller can enter a sleep mode in response to a first request signal, and the primary-side controller can turn on or off a first switch in the primary-side circuit in a predefined manner to cause a secondary-side winding in a transformer to generate a predefined first output signal. The secondary-side controller can detect the first output signal and responsively enter the sleep mode. In this way, both the primary-side and secondary-side controllers can enter the sleep mode, thus significantly reducing standby power dissipation of the system.

Abstract: A controller, an isolated power converter and a control method are disclosed. The controller includes a primary-side regulator and a secondary-side regulator. The secondary-side regulator includes a secondary-side regulation signal generation module, which receives a feedback signal of an output voltage of the isolated power converter, generates a first control signal and couples the first control signal to the primary-side regulator. The primary-side regulator includes: a PSR module, which receives a voltage signal across a winding of the isolated power converter and generates a second control signal, thereby executing a PSR mode; a follow-up SSR module, which receives the first control signal and generates a third control signal, thereby executing an SSR mode; and a regulation switching module, which allows a switching between the PSR and SSR modes. The present invention allows the follow-up SSR module to enable the SSR mode, which avoids overshooting of the output voltage during startup.

Abstract: Methods and apparatuses are described for automated testing of mobile devices. A server establishes a connection with a client device via a high-latency connection. The server receives input from the client device comprising (i) a selection of mobile devices for testing and (ii) a selection of a test interaction. The server generates predicted interactions for each of the selected mobile devices using historical device interaction data. The server converts the predicted interactions into test scripts, each test script formatted for use with one of the selected mobile devices. The server deploys each test script for execution on the corresponding mobile device, and transmits results from the test script executions to the client device.

Abstract: Methods and apparatuses are described for automated testing of mobile devices. A server establishes a connection with a client device via a high-latency connection. The server receives input from the client device comprising (i) a selection of mobile devices for testing and (ii) a selection of a test interaction. The server generates predicted interactions for each of the selected mobile devices using historical device interaction data. The server converts the predicted interactions into test scripts, each test script formatted for use with one of the selected mobile devices. The server deploys each test script for execution on the corresponding mobile device, and transmits results from the test script executions to the client device.

Abstract: A computer-implemented method of training, using a computer log file, an application error prediction engine to identify one or more application errors includes parsing the computer log file into a plurality of data sets. Each data set is associated with a unique computing session having a session identifier and ending in an application or. The method also includes extracting, from each data set, values for a specified set of parameters in each data set. The method also includes encoding the extracted values for each data set into a corresponding data structure. The method also includes generating, for each data structure, a corresponding vector, the corresponding vectors collectively forming a matrix. The method also includes calculating, based on the matrix, a set of clusters, each cluster corresponding to a known error type, the set of clusters used to create a model used to identify new error types.

Abstract: A computer-implemented method of training, using a computer log file, an application error prediction engine to identify one or more application errors includes parsing the computer log file into a plurality of data sets. Each data set is associated with a unique computing session having a session identifier and ending in an application or. The method also includes extracting, from each data set, values for a specified set of parameters in each data set. The method also includes encoding the extracted values for each data set into a corresponding data structure. The method also includes generating, for each data structure, a corresponding vector, the corresponding vectors collectively forming a matrix. The method also includes calculating, based on the matrix, a set of clusters, each cluster corresponding to a known error type, the set of clusters used to create a model used to identify new error types.