Abstract: A method of processing raw measurement data from a tunable diode laser absorption spectroscopy (TDLAS) tool or other spectroscopic instrument is provided that determines what types of noise (electronic or process flow) are present in the measurement. Based on that determination, the noise is reduced by performing a weighted averaging using weights selected according to the dominant type of noise present, or a general case is applied to determine weights where neither noise type is dominant. The method also involves performing continuous spectroscopy measurements with the tool, with the data and weighted averaging being constantly updated. Weighting coefficients may also be adjusted based on similarity or difference between time-adjacent traces.

Abstract: A system may include a database disposed within a remote network management platform, a server device disposed in the platform, and a client device. The database may contain representations of configuration items, such as computing devices and software applications associated with the managed network. The server device may provide a graphical user interface including a sequence of panes to the client device. The sequence of panes may include an identifier pane, an identification rules pane, and a reconciliation pane. Each pane may include data entry fields that are operable to define a new class of configuration item. The server device may receive, by way of the graphical user interface, a definition of the new class that uniquely identifies configuration items of a particular type using at least the attributes. The server may store, in the database, the definition of the new class.

Abstract: Examples described herein include virtualized environments including a virtualized file server. Examples of secure domain join processes are described which may facilitate joining a virtualized file server or portions thereof to a domain. In some examples, the secure domain join process itself, and/or an associated file server virtual machine, may have insufficient credentials to write objects into an active directory. The active directory credentials need not be shared with the file server virtual machine. Rather, in some examples, the secure domain join process may provide a user system with a list of actions to be performed using active directory credentials.

Abstract: This document describes systems, devices, and methods for testing the integration of a content provider's origin infrastructure with a content delivery network (CDN). In embodiments, the teachings hereof enable a content provider's developer to rapidly and flexibly create test environments that send test traffic through the same CDN hardware and software that handle (or at least have the ability to handle) production traffic, but in isolation from that production traffic and from each other. Furthermore, in embodiments, the teachings hereof enable the content provider to specify an arbitrary test origin behind its corporate firewall with which the CDN should communicate.

Abstract: A system and method are provided for detecting the presence of potential commercials in a video data stream. Each of the commercials has an expected time length that is an integer multiple of a first predetermined time length, and has an overall time length that is equal to or less than a second predetermined time length. Transitions in the audio or video of the video data stream are detected and the time of the transitions are recorded. Time differences between one or more successive transitions are detected. Any time differences that are an integer multiple of the first predetermined time length, and that have an overall time length that is equal to or less than the second predetermined time length are identified. The contents of the video data stream associated with the identified time differences are flagged as potential commercials and sent to a content processing platform for further analysis.

Abstract: Aspects extend to methods, systems, and computer program products for providing personalized surgery recommendations for eye patients. Surgery types, and surgery parameters can be recommended for a patient based on predicted post-operative UCVA for the patient if the surgery types and surgery parameters were to be used. Predicting post-operative UCVA can be handled as a regression problem based on patient demography and pre-operative examination details. In an additional aspect, surgery parameters are automatically determined and/or optimized for improved post-operative UCVA by including surgery parameters in a regression model.

Abstract: Implementations of a system, method and apparatus described herein receive, for a configuration item in a configuration management database, status indicating an operational state and an automation state associated with the configuration item, and determine whether a conflict will occur with at least one of the operational state or the automation state of the configuration item as a result of a process affecting the configuration item. When the conflict will not occur, a change is made to at least one of the operational state or the automation state of the configuration item in accordance with the process. Upon a conclusion of the process, the change is removed. If the conflict will occur, the process not allowed to continue.

Abstract: A system, method and computer-readable medium for missing data identification, including identifying columns in tables of a database, generating categorical columns of categorical data by transforming data values in the columns into categorical data values, generating a co-occurrence matrix corresponding to a pair of categorical columns in the categorical columns, determining an expected frequency of co-occurrence corresponding to each unique pair of categorical data values based at least in part on a marginal totals corresponding to categorical data values in the co-occurrence matrix, and identifying one or more locations of missing data based at least in part on the count of co-occurrence of each unique pair of categorical data values and the expected frequency of co-occurrence corresponding to each unique pair of categorical data values.

Abstract: A system, method and computer-readable medium for generation of missing data including transmitting indicators corresponding to locations of missing data in columns in tables of a database, each location of missing data corresponding to categorical values of categorical columns and each location of missing data being identified based on an expected count of data values at the corresponding location, receiving a selection of at least one indicator corresponding to at least one location of missing data, the at least one location of missing data corresponding to two or more categorical values of two or more categorical columns in the categorical columns, and generating sets of data records in at least one table in the tables of the database, each set of data records having two or more column values in two or more columns that correspond to the two or more categorical values of the two or more categorical columns.

Abstract: Techniques for selecting one of a plurality of heterogeneous memory units for placement of blocks of data (e.g., memory pages), based on both reliability and performance, are disclosed. A “cost” for each data block/memory unit combination is determined, based on the frequency of access of the data block, the latency of the memory unit, and, optionally, an architectural vulnerability factor (which represents the level of exposure of a particular memory data value to memory faults such as bit flips). A memory unit is selected for the data block for which the determined cost is the lowest, out of all memory units considered, and the data block is placed into that memory unit.

Abstract: A method of processing raw measurement data from a tunable diode laser absorption spectroscopy (TDLAS) tool or other spectroscopic instrument is provided that determines what types of noise (electronic or process flow) are present in the measurement. Based on that determination, the noise is reduced by performing a weighted averaging using weights selected according to the dominant type of noise present, or a general case is applied to determine weights where neither noise type is dominant. The method also involves performing continuous spectroscopy measurements with the tool, with the data and weighted averaging being constantly updated. Weighting coefficients may also be adjusted based on similarity or difference between time-adjacent traces.

Abstract: Devices, systems, and methods for building system commissioning automation are described herein. One device includes a controller of a plurality of building system devices having logic to receive a set of commands specified by a sequence of operations (SOO) script, execute the set of commands to run an SOO check on the plurality of building system devices, and generate a report including results of the SOO check.

Abstract: Systems and methods for the identification and reconciliation of network resource information are herein disclosed. In an implementation, a system includes instructions stored in memory for processing a request received from a data source to update a record of a network resource by receiving data relating to an attribute of a network resource of a computer network from a first data source, wherein the network resource is associated with a configuration item of a configuration management database, the configuration item including data relating to the attribute from a second source; determining that the first data source is authoritative for the attribute based on a priority of the first data source, a priority of the second data source, and a staleness period of the second data source; and processing the request by updating the attribute based on the data.

Abstract: Methods and apparatus are provided for detecting potential repeating content, such as commercials, in a video data stream by receiving one or more video data streams, parsing each video data stream into a plurality of segments, creating audio fingerprints of each segment, storing the plurality of audio fingerprints in a database, and identifying any audio fingerprints in the received and parsed one or more video data streams that match audio fingerprints in the database that were previously stored from video data streams that were previously received and parsed. Video fingerprints are then created for these same pairs of segments and a similarity analysis is performed. The results of the video fingerprint analysis is used to make a determination of subsequent actions to be taken by a content processing platform that performs recognition processing of the content associated with the segments identified as being potentially repeating content.

Abstract: This document describes systems, devices, and methods for testing the integration of a content provider's origin infrastructure with a content delivery network (CDN). In embodiments, the teachings hereof enable a content provider's developer to rapidly and flexibly create test environments that send test traffic through the same CDN hardware and software that handle (or at least have the ability to handle) production traffic, but in isolation from that production traffic and from each other. Furthermore, in embodiments, the teachings hereof enable the content provider to specify an arbitrary test origin behind its corporate firewall with which the CDN should communicate.

Abstract: An approach is provided for determining availabilities of servers in multiple tiers of a workload. A Monte Carlo approach is performed on a non-linear program resulting from availability and resource constraints being added to an optimization problem which includes a workload availability requirement, resource requirements for redundancy groups (RGs) in the workload, sets of server sizes, and sets of availability categories. Feasible solutions to the optimization problem are generated and each includes a cloud site hosting the workload, a number of servers in an RG, server sizes of the servers in the RG, categories of availability of the servers in the RG, and a number of servers in the RG that are required to be active for the RG to be available. A cost of achieving the requirement of the availability of the workload is minimized by performing a Pareto analysis of the feasible solutions.

Abstract: Described herein are waterfall counters and an application to architectural vulnerability factor (AVF) estimation. Waterfall counters count events that are generated at event generation logic. The waterfall counters are a combination of small, fast counters local to the event generation logic, and larger, global counters in fast memory. The local counters can be saturation or oscillation counters. When a local counter is saturated or evicted, the value from the local counter is added to the global counter. This addition can be done using logic local to the local or global counter. The waterfall counters provide a full-accuracy event count without the high bandwidth that is needed to maintain the global counters. An AVF estimation can be determined based on ratios from counts of read events, write events, and total events using the waterfall counters.

Abstract: Unknown potential commercials are detected in a video data stream that contains segments of program type content, and blocks of commercial content. Each block includes a plurality of successive individual commercials. A library of known commercials is maintained in a first database. A video data stream is received in a video processing engine which includes a search engine that is in communication with the first database. The search engine identifies all known commercials in the video data stream and their respective start and end times. The video processing engine identifies all time segments that are sandwiched between the known commercials. The video processing engine filters out as a potential commercial any identified time segments that are significantly longer than the time length of a commercial. The video processing engine designates content of each of the time segments that were not filtered out as being one or more unknown potential commercials.

Abstract: A system may include a database disposed within a remote network management platform, a server device disposed in the platform, and a client device. The database may contain representations of configuration items, such as computing devices and software applications associated with the managed network. The server device may provide a graphical user interface including a sequence of panes to the client device. The sequence of panes may include an identifier pane, an identification rules pane, and a reconciliation pane. Each pane may include data entry fields that are operable to define a new class of configuration item. The server device may receive, by way of the graphical user interface, a definition of the new class that uniquely identifies configuration items of a particular type using at least the attributes. The server may store, in the database, the definition of the new class.

Abstract: Disclosed in some examples are methods, systems, devices, and machine readable mediums that automatically determine a set of one or more rules for finding items of content with high precision and high-recall. The disclosed methods enable applications to find content in rapidly changing datasets such as microblogs and other social networking feeds with a high precision and high recall, improving the accuracy of the application.