Abstract: Methods, systems, and computer programs are presented for recommending new connections based on profile similarity and existing interconnections within a social network. One method includes an operation for detecting a request for new connections for a member of the social network, where the profile of the member includes values for certain attributes. Additionally, the method includes operations for identifying members that have at least one equal attribute to the attributes of the member, and for calculating a connection score for each identified member based on the respective values of the identified members attributes. Members are selected from the identified members based on the connection scores, and a ranking score for each selected member is obtained utilizing a machine learning algorithm that utilizes similarity analysis of the attributes to calculate the ranking score. The selected members are presented to the member as the possible new connections based on the ranking scores.

Abstract: The present invention relates to a double one-track electro-discharge wire cutting method, comprising a step of forward wire running and a step of reverse wire running wherein a wire running direction of the step of forward wire running is opposite to that of the step of reverse wire running; with wire running in the step of forward wire running, one processing element is completed by discharge cutting processing, and with wire running in the step of reverse wire running, another processing element is completed by discharge cutting processing. The method can improve the processing efficiency and recycle the electrode wire while ensuring the processing precision.

Abstract: Methods, systems, and computer programs are presented for recommending new connections based on profile similarity and existing interconnections within a social network. One method includes an operation for detecting a request for new connections for a member of the social network, where the profile of the member includes values for certain attributes. Additionally, the method includes operations for identifying members that have at least one equal attribute to the attributes of the member, and for calculating a connection score for each identified member based on the respective values of the identified members attributes. Members are selected from the identified members based on the connection scores, and a ranking score for each selected member is obtained utilizing a machine learning algorithm that utilizes similarity analysis of the attributes to calculate the ranking score. The selected members are presented to the member as the possible new connections based on the ranking scores.

Abstract: Embodiments relate to an eigenvalue-based data query. An aspect includes receiving a query request that includes a query statement. Another aspect includes calculating eigenvalues of key component elements in the query statement. Another aspect includes matching eigenvalues of nodes in an execution plan of a historical query statement to the eigenvalues of the key component elements. Yet another aspect includes based on determining success of matching the eigenvalues of the key component elements to the eigenvalues of the nodes in an execution plan of the historical query statement, generating an execution plan of the query statement.

Abstract: Embodiments of a system and method for controlling access to personal information are generally described herein. In an example, a method may include receiving, at an internal server, data including personal information from a third party website, the personal information including a member identification to a social networking service, adding a time to live envelope to the data, receiving a request for the data, determining whether the time to live envelope indicates that the data is accessible, in response to determining that the time to live envelope indicates that the data is accessible, releasing the data according to the request, and aggregating the data with other information.

Abstract: The technology relates to converting text to speech utilizing recurrent neural networks (RNNs). The recurrent neural networks may be implemented as multiple modules for determining properties of the text. In embodiments, a part-of-speech RNN module, letter-to-sound RNN module, a linguistic prosody tagger RNN module, and a context awareness and semantic mining RNN module may all be utilized. The properties from the RNN modules are processed by a hyper-structure RNN module that determine the phonetic properties of the input text based on the outputs of the other RNN modules. The hyper-structure RNN module may generate a generation sequence that is capable of being converting to audible speech by a speech synthesizer. The generation sequence may also be optimized by a global optimization module prior to being synthesized into audible speech.

Abstract: Embodiments relate to an eigenvalue-based data query. An aspect includes receiving a query request that includes a query statement. Another aspect includes calculating eigenvalues of key component elements in the query statement. Another aspect includes matching eigenvalues of nodes in an execution plan of a historical query statement to the eigenvalues of the key component elements. Yet another aspect includes based on determining success of matching the eigenvalues of the key component elements to the eigenvalues of the nodes in an execution plan of the historical query statement, generating an execution plan of the query statement.

Abstract: Various embodiments each include systems, methods, devices, or software for integer ambiguity resolution approach over a time window of GNSS/IMU data. One purpose of processing a window of data is to enhance the reliability of obtaining high-accuracy position estimation, using carrier-phase measurements, even in challenging environments.

Abstract: An index for large databases is disclosed. Data is grouped into clusters and the clusters are grouped into levels of detail. Analysis results are determined based on progressive data sampling. Sampling is conducted based on the level of detail required and/or the resources (time or computing resources) that are available. Larger, more concentrated clusters, at higher levels of detail, are sampled more sparsely. Smaller, more diffuse clusters, at lower levels of detail, are sampled more intensively. Analysis results, including outlier data, include proportional representation from the whole database up to the level of detail required. Results are quickly determined with specified degree of accuracy, based on initial sampling, and are refined with subsequent sampling.

Abstract: Methods, systems, and programs are provided for presenting professional content in a user feed. The user feed is populated with industry-wise content, using relevance-driven technologies to select the best relevant industry content, while solving the problem of low-content availability for users with few connections. Professional posts created by users in a social network are identified, where each user is associated with an industry as configured in a profile of the user. A score for each identified professional post is calculated and the professional posts are sorted based on their scores. After detecting a request for data to present in a first user feed to a first user that is associated with a first industry, the server selects professional posts based on the industry of the user that created each post. The selected professional posts are then merged with other types of content and presented in the first user feed.

Abstract: Methods, systems, and computer programs are presented for optimizing the content of a user feed that includes professional and nonprofessional posts. One method includes an operation for training a machine-learning classifier to classify posts of a social website as professional or nonprofessional posts based on a plurality of features that include a cluster assigned to each post. Posts are identified for placement in a user feed of the social website, each post being associated with a score, and each post is assigned to one of the clusters based on the semantic meaning of the words in the post. The method further includes operations for invoking the machine-learning classifier to classify each post as a professional or a nonprofessional post, and for increasing the scores of the posts classified as professional posts. The posts are ranked for presentation in the user feed based on the score of each post.

Abstract: A linkage device is provided, which includes: a banknote stacking plate, a cover plate, a transmission mechanism, and a driving mechanism. The first transmission component is mounted on the banknote stacking plate, and configured to drive the banknote stacking plate to rotate. The second transmission component and a spring are mounted on the cover plate, and the second transmission component is configured to drive the cover plate to rotate. The torque limiter is mounted on the first transmission component. The one-way bearing is mounted on the second transmission component. The linkage device may prevent a customer from placing banknotes into a fault position when depositing the banknotes, and may also avoid problems of the internal structures such as the banknote separating mechanism, the impeller wheel type banknote stacking mechanism exposed being blocked by foreign matters disposed, or being damaged for other reasons.

Abstract: Embodiments of a system and method for controlling access to personal information are generally described herein. In an example, a method may include receiving, at an internal server, data including personal information from a third party website, the personal information including a member identification to a social networking service, adding a time to live envelope to the data, receiving a request for the data, determining whether the time to live envelope indicates that the data is accessible, in response to determining that the time to live envelope indicates that the data is accessible, releasing the data according to the request, and aggregating the data with other information.

Abstract: An electronic device tracks its motion in an environment while building a three-dimensional visual representation of the environment that is used to correct drift in the tracked motion. A motion tracking module estimates poses of the electronic device based on feature descriptors corresponding to the visual appearance of spatial features of objects in the environment. A mapping module builds a three-dimensional visual representation of the environment based on a stored plurality of maps, and feature descriptors and estimated device poses received from the motion tracking module. The mapping module provides the three-dimensional visual representation of the environment to a localization module, which identifies correspondences between stored and observed feature descriptors. The localization module performs a loop closure by minimizing the discrepancies between matching feature descriptors to compute a localized pose.

Abstract: An electronic device detects and recovers from fault conditions while tracking its motion and building a map of its environment. A front-end motion tracking module detects fault conditions while tracking motion over time and provides mapping data to a back-end mapping module. The front-end motion tracking module indicates to the back-end mapping module when a fault condition has been detected and when the fault condition is no longer detected. The back-end mapping module generates maps from the mapping data and merges the maps to build a three-dimensional representation of the environment. The back-end mapping module buffers or discards any mapping data received from the front-end motion tracking module during the existence of a fault condition. The back-end mapping module merges the maps generated based on mapping data received before and after the fault condition and adds the merged maps to the three-dimensional representation of the environment.

Abstract: A linkage device is provided, which includes: a banknote stacking plate, a cover plate, a transmission mechanism and a driving mechanism. The first transmission component is mounted on the banknote stacking plate, and configured to drive the banknote stacking plate to rotate. The second transmission component and a spring are mounted on the cover plate, and the second transmission component is configured to drive the cover plate to rotate. The torque limiter is mounted on the first transmission component. The one way bearing is mounted on the second transmission component. The linkage device may prevent a customer from placing banknotes into a fault position when depositing the banknotes, and may also avoid problems of the internal structures such as the banknote separating mechanism, the impeller wheel type banknote stacking mechanism exposed being blocked by foreign matters disposed, or being damaged for other reasons.

Abstract: An index for large databases is disclosed. Data is grouped into clusters and the clusters are grouped into levels of detail. Analysis results are determined based on progressive data sampling. Sampling is conducted based on the level of detail required and/or the resources (time or computing resources) that are available. Larger, more concentrated clusters, at higher levels of detail, are sampled more sparsely. Smaller, more diffuse clusters, at lower levels of detail, are sampled more intensively. Analysis results, including outlier data, include proportional representation from the whole database up to the level of detail required. Results are quickly determined with specified degree of accuracy, based on initial sampling, and are refined with subsequent sampling.

Abstract: An index for large databases is disclosed. Data is grouped into clusters and the clusters are grouped into levels of detail. Analysis results are determined based on progressive data sampling. Sampling is conducted based on the level of detail required and/or the resources (time or computing resources) that are available. Larger, more concentrated clusters, at higher levels of detail, are sampled more sparsely. Smaller, more diffuse clusters, at lower levels of detail, are sampled more intensively. Analysis results, including outlier data, include proportional representation from the whole database up to the level of detail required. Results are quickly determined with specified degree of accuracy, based on initial sampling, and are refined with subsequent sampling.

Abstract: Embodiments relate to an eigenvalue-based data query. An aspect includes receiving a query request that includes a query statement. Another aspect includes calculating eigenvalues of key component elements in the query statement. Another aspect includes matching eigenvalues of nodes in an execution plan of a historical query statement to the eigenvalues of the key component elements. Yet another aspect includes based on determining success of matching the eigenvalues of the key component elements to the eigenvalues of the nodes in an execution plan of the historical query statement, generating an execution plan of the query statement.

Abstract: A bio-modifier for asphalt is provided that comprises non-wood bio-char. In some embodiments, the bio-char comprises pyrolyzed biomass from a bio-fuel crop and/or comprises pyrolyzed grass. The asphalt modifier can improve the performance of asphalt compositions such as asphalt binder compositions and compositions comprising asphalt binder and aggregate. For example, the bio-modifier can improve the temperature susceptibility of asphalt binder compositions and increase the rutting resistance, moisture and cracking resistance of hot mix asphalt compositions. In addition, methods of preparing the bio-modifier composition, methods of preparing modified asphalts comprising the bio-modifier, and modified asphalt compositions are provided.