Abstract: Embodiments of the present invention provide a press tool and an electronic product detecting apparatus including the press tool. The press tool includes: a connector soft-contact member including: a first base plate; a floating plate mounted to the first base plate; and a buffer member mounted between the first base plate and the floating plate and configured such that when receiving a pressing force, the buffer member generates a repulsive force, so that the floating plate is floatable; and a press member connected with the connector soft-contact member such that they are openable and closable relative to each other. The press member includes a second base plate and a connector bearing piece which is mounted to the second base plate and which is positioned just opposite to the floating plate when the connector soft-contact member and the press member are closed.

Abstract: Described is a technology by which software instrumentation data collected from user program sessions are analyzed to output an analysis report or the like via example methods and an architecture configured for efficient operation. A client component queries a service for analysis related information. To process the query, the service works with a data manager, and via a high dimensional analysis component may use information processed from the software instrumentation data, such as in the form of one or more inverted indexes and/or raw value files. The service may include a usage analysis component, a feature recognition component that locates features from command sequences, a user recognition component and/or a program reliability component. One or more counterpart components at the client may generate analysis reports or the like based on the query results. The client also may maintain user libraries and feature libraries to facilitate analyses.

Abstract: A system and method for editing ink objects recognized in ink input is provided. An ink parser may recognize an ink object in ink input and then an ink editing user interface may edit the ink object recognized by the ink parser. The ink parser may include a chart detector, shape recognizer, and various ink object recognizers such as a chart recognizer, a list detector and a table detector. The various ink object recognizers may recognize particular ink objects. The ink editing user interface may edit the ink object recognized by the ink parser. The ink editing user interface may include a chart editor, list editor, table editor, mode switcher, and a visualizer. The mode switcher may switch the ink editing system between inking mode and ink editing mode.

Abstract: Described is a technology by which high dimensional source data corresponding to rows of records with identifiers, and columns comprising dimensions of data values, are processed into a file model for efficient access. An inverted index corresponding to any dimension is built by mapping data from raw dimension values to mapped values based on mapping entries in a dimension table. The record identifiers are arranged into subgroups based on their mapped value; a count and/or an offset may be maintained for locating each of the subgroups. The raw values for a dimension are maintained within a raw value file. For sparse data, the raw value file may be compressed, e.g., by excluding nulls and associating a record identifier with each non-null. A data manager provides access to data in the data files, such as by offering various functions, using caching for efficiency.

Abstract: Described is a technology by which high dimensional data may be efficiently analyzed, including by filtering, grouping, aggregating and/or sorting operations to provide an analysis result. For efficiency in the analysis, an inverted index may be built (e.g., as part of filtering), and/or a hash structure (e.g., as part of grouping). Analysis parameters specify dimensions, on which union and/or intersection operations are performed to provide a final dataset. The analysis tool provides a user interface for inputting analysis parameters and outputting information corresponding to an analysis result. The analysis tool may sort the information corresponding to the analysis result, e.g., to output the topmost or bottommost results.

Abstract: Described is a technology for analyzing usage of a software program's features. Software instrumentation data is collected during actual user program usage sessions. The collected data is then processed to determine various feature usage counts and other information, cross-feature usage (e.g., among users who use a feature, how many use another feature or program), and characteristics of feature users, e.g., how long, how much, how often and how extensive feature users use a program. Session analysis may be performed to provide information about the number of sessions in which a set of features occur. Feature usage trends over time may also be determined via analysis. A user interface is described for facilitating selection of one or more features to analyze, for facilitating selection of a group of users, and/or for outputting results corresponding to the analysis.

Abstract: Described is a technology by which software instrumentation data collected from user program sessions are analyzed, including by determining program usage metrics and/or command usage metrics. Information representative of the program usage metrics and/or the command usage metrics is output, such as in the form of a report. The software instrumentation data may be further analyzed, such as to determine at least one usage trend over time, and to determine user groups. For example, a usage subset of sessions that meet specified session usage criteria based on a set of session data may be located, along with a subset of users based on users whose sessions meet specified user criteria. The usage and user subsets may be combined via Boolean logic to produce a result set.

Abstract: Described is a technology by which software program feature usage is located within a sequence of commands collected during program usage sessions. For example, feature generally corresponds to a series of commands, such as copy and paste. A visual modeling component is controlled via drag-and-drop operations to describe a feature model, which is then compiled by a compiler into a finite state machine. Noise models may be used to exclude any command in the sequence that is irrelevant to the feature usage. A recognition process uses the finite state machine to locate program feature usage within the sequence of recorded commands by matching command sub-sequences corresponding to the feature model via the state machine. An analyzer may then use the located matches to provide an analysis report on feature usage.

Abstract: Described is a technology by which software instrumentation data collected during software program usage sessions is analyzed to identify potential problems with software program usage, such as based on frequency of problem occurrence during the usage sessions. Reliability metrics may be calculated from the information. Failure data additionally collected during the usage sessions may be accessed to derive details that correspond to the potential problems. In one example, the information may be analyzed to determine which alerts and/or asserts occurred most often, and/or to determine a relationship between user interface control operations (e.g., clicks and usage of commands) and alerts or asserts.

Abstract: Ink-parser-parameter optimization may be performed via parallel processing to accelerate searching for a set of optimal ink-parser parameters. Evaluators may parse pages of ink notes with different groups of parameters and may compute corresponding values for evaluation functions. Separate evaluation functions may be defined for the following types of ink-parker parsing engines: writing parser, writing/drawing classification, table detection, and list detection. A searcher may perform a grid-searching algorithm or a genetic algorithm to generate groups of parameters and may then pass the parameters to available evaluators for evaluation until evaluation-function values for a group of parameters satisfy a convergence condition.

Abstract: A system and method for editing ink objects recognized in ink input is provided. An ink parser may recognize an ink object in ink input and then an ink editing user interface may edit the ink object recognized by the ink parser. The ink parser may include a chart detector, shape recognizer, and various ink object recognizers such as a chart recognizer, a list detector and a table detector. The various ink object recognizers may recognize particular ink objects. The ink editing user interface may edit the ink object recognized by the ink parser. The ink editing user interface may include a chart editor, list editor, table editor, mode switcher, and a visualizer. The mode switcher may switch the ink editing system between inking mode and ink editing mode.

Abstract: Described is a technology by which high dimensional source data corresponding to rows of records with identifiers, and columns comprising dimensions of data values, are processed into a file model for efficient access. An inverted index corresponding to any dimension is built by mapping data from raw dimension values to mapped values based on mapping entries in a dimension table. The record identifiers are arranged into subgroups based on their mapped value; a count and/or an offset may be maintained for locating each of the subgroups. The raw values for a dimension are maintained within a raw value file. For sparse data, the raw value file may be compressed, e.g., by excluding nulls and associating a record identifier with each non-null. A data manager provides access to data in the data files, such as by offering various functions, using caching for efficiency.

Abstract: Described is a technology by which high dimensional data may be efficiently analyzed, including by filtering, grouping, aggregating and/or sorting operations to provide an analysis result. For efficiency in the analysis, an inverted index may be built (e.g., as part of filtering), and/or a hash structure (e.g., as part of grouping). Analysis parameters specify dimensions, on which union and/or intersection operations are performed to provide a final dataset. The analysis tool provides a user interface for inputting analysis parameters and outputting information corresponding to an analysis result. The analysis tool may sort the information corresponding to the analysis result, e.g., to output the topmost or bottommost results.

Abstract: Described is a technology for analyzing usage of a software program's features. Software instrumentation data is during actual user program usage sessions. The collected data is then processed to determine various feature usage counts and other information, cross-feature usage (e.g., among users who use a feature, how many use another feature or program), and characteristics of feature users, e.g., how long, how much, how often and how extensive feature users use a program. Session analysis may be performed to provide information about the number of sessions in which a set of features occur. Feature usage trends over time may also be determined via analysis. A user interface is described for facilitating selection of one or more features to analyze, for facilitating selection of a group of users, and/or for outputting results corresponding to the analysis.

Abstract: Described is a technology by which software instrumentation data collected during software program usage sessions is analyzed to identify potential problems with software program usage, such as based on frequency of problem occurrence during the usage sessions. Reliability metrics may be calculated from the information. Failure data additionally collected during the usage sessions may be accessed to derive details that correspond to the potential problems. In one example, the information may be analyzed to determine which alerts and/or asserts occurred most often, and/or to determine a relationship between user interface control operations (e.g., clicks and usage of commands) and alerts or asserts.

Abstract: Described is a technology by which software program feature usage is located within a sequence of commands collected during program usage sessions. For example, feature generally corresponds to a series of commands, such as copy and paste. A visual modeling component is controlled via drag-and-drop operations to describe a feature model, which is then compiled by a compiler into a finite state machine. Noise models may be used to exclude any command in the sequence that is irrelevant to the feature usage. A recognition process uses the finite state machine to locate program feature usage within the sequence of recorded commands by matching command sub-sequences corresponding to the feature model via the state machine. An analyzer may then use the located matches to provide an analysis report on feature usage.

Abstract: Described is a technology by which software instrumentation data collected from user program sessions are analyzed, including by determining program usage metrics and/or command usage metrics. Information representative of the program usage metrics and/or the command usage metrics is output, such as in the form of a report. The software instrumentation data may be further analyzed, such as to determine at least one usage trend over time, and to determine user groups. For example, a usage subset of sessions that meet specified session usage criteria based on a set of session data may be located, along with a subset of users based on users whose sessions meet specified user criteria. The usage and user subsets may be combined via Boolean logic to produce a result set.

Abstract: A system and method for recognition of hand-drawn charts in ink input is provided. A chart recognizer may be provided that may recognize a hand-drawn diagram or chart in ink input. The chart recognizer may include a connectivity-based recognizer for recognizing a hand-drawn chart having connected areas such as a pie chart, a connected container recognizer for recognizing a hand-drawn chart having connected containers such as a cycle diagram, and a curve recognizer for recognizing a hand-drawn chart having a curve. The connected container recognizer may also recognize a hand-drawn chart having intersecting containers such as a Venn diagram or a hand-drawn chart having a container that may include another container such as a target diagram.

Abstract: A method and system for recognizing handwritten music notations is described. The method includes steps of recognizing notations within a notation category and receiving a plurality of input strokes corresponding to handwritten music notations. Nearby strokes may be grouped to a first input stroke of the plurality of input strokes to make a stroke set and the stroke set is compared with the notations in the notation category. A determination is made as to whether the stroke set is recognized as at least one candidate notation within the notation category, a candidate list of recognized candidate notations is provided, and a music score is generated based upon the recognized candidate notations.

Abstract: A system and method for editing ink objects recognized in ink input is provided. An ink parser may recognize an ink object in ink input and then an ink editing user interface may edit the ink object recognized by the ink parser. The ink parser may include a chart detector, shape recognizer, and various ink object recognizers such as a chart recognizer, a list detector and a table detector. The various ink object recognizers may recognize particular ink objects. The ink editing user interface may edit the ink object recognized by the ink parser. The ink editing user interface may include a chart editor, list editor, table editor, mode switcher, and a visualizer. The mode switcher may switch the ink editing system between inking mode and ink editing mode.