Abstract: Techniques for scenario planning are provided. In one example, a computer-implemented method can comprise analyzing, by a device operatively coupled to a processor, content using a topic model. The content can be associated with a defined source and is related to one or more current events. The computer-implemented method can also comprise determining, by the device, one or more portions of the analyzed content that are relevant to one or more key risk drivers using a risk driver model. The computer-implemented method can also comprise aggregating, by the device, the determined one or more portions into one or more emerging storylines based on values of one or more attributes of the topic model.

Abstract: Techniques for scenario planning are provided. In one example, a computer-implemented method can comprise analyzing, by a device operatively coupled to a processor, content using a topic model. The content can be associated with a defined source and is related to one or more current events. The computer-implemented method can also comprise determining, by the device, one or more portions of the analyzed content that are relevant to one or more key risk drivers using a risk driver model. The computer-implemented method can also comprise aggregating, by the device, the determined one or more portions into one or more emerging storylines based on values of one or more attributes of the topic model.

Abstract: Mechanism are provided to select a machine learning model from an analytics model library based on ingested data. One or more pieces of clarified data are fused to provide time-correlated data tuples of data streams. One or more features are extracted from the time-correlated data tuples and scored based on a set of predetermined rules thereby generating discriminative scoring of trigger data. Utilizing the discriminative scoring of the trigger data, trigger data of a current analytics model being utilized by the data processing and one or more new analytics models from the analytics model library are scored. Responsive to the scoring of the trigger data indicating a selection of a different analytics model from the analytics model library, the current analytics model is replaced with a selected analytics model from the analytics model library such that the data processing system executes the selected analytics model.

Abstract: A mechanism is provided for implementing a model update mechanism to update new models in real time while avoiding data loss and system downtime. Responsive to receiving a request to update a scorer model currently being executed by an existing worker thread in the data processing system, the model update mechanism initializing a new worker thread. The model update mechanism loads an updated scorer model into the new worker thread and initializes a state transfer from the existing worker thread to the new worker thread. The model update mechanism executes the updated scorer model such that the updated scorer model scores the input data. The model update mechanism then outputs a prediction based on the updated scorer model processing of the input data.

Abstract: Split an input dataset into training and test datasets; the former includes a plurality of data examples, each represented as a feature vector, and having an associated true label. Split the training dataset into a plurality of training data subsets; for each, train a corresponding machine learning model to obtain a plurality of such models, and apply same to the test dataset to obtain a plurality of predicted labels and prediction scores. For each of the plurality of examples, compute an agreement metric based on a corresponding one of the associated true labels; corresponding ones of the predicted labels; and corresponding ones of the prediction scores. Based on the computed metric, select, for at least some of the true label values, appropriate ones of the data examples to be added to a regression set. Add the appropriate ones of the data examples from the test dataset to the regression set.

Abstract: A mechanism is provided to identify wall-clock time reference dependency in one or more software components of a data analytics solution. The data analytics solution is decomposed into a set of software components. A first software component of the set of software components is deployed to a first computer server and the remaining software components are deployed to a second computer server. A system clock time on the first computer server is changed to differ from the system clock of the second computer server. Based on executing a test on the data analytics solution, a determination is made of whether the first software component, is wall-clock time independent. Responsive to the test of the of the software component failing indicating that the wall-clock time of the software component is dependent of the system clock time difference, the software component is recorded as wall-clock time dependent and an administrator is notified.

Abstract: Aspects of the subject disclosure may include, for example, embodiments that include obtaining a first data pool of different types of data. The different types of data include a first group of IPv4 addresses. Further embodiments include selecting a first portion of the first group of IPv4 addresses using artificial intelligence techniques and storing the first portion of the first group of IPv4 addresses in a first table of IPv4 addresses. Additional embodiments can include assigning a first IPv4 address in the first table to a first computing device in response to determining the first IPv4 address in the first table is not currently being used. Other embodiments are disclosed.

Abstract: A supporting stand is disclosed, wherein the supporting stand is utilized for supporting a display on a working surface. The supporting stand comprises a base, a frame, and a bearing module, wherein the frame includes two side plates, a top plate, at least one supporting plate, and an accommodating space surrounded and defined by the side plates, the top plate, and the at least one supporting plate. The side plates and the at least one supporting plate is an integrally formed one-piece metal extrusion.

Abstract: A supporting stand is disclosed, wherein the supporting stand is utilized for supporting a display on a working surface that comprises a base, a frame, and a bearing module. The invention also relates to a method of manufacturing frame of supporting stand, which includes an extrusion step, a cutting step, a processing step, and a removal step.

Abstract: Embodiments for implementing enhanced ensemble model diversity and learning by a processor. One or more data sets may be created by combining one or more clusters of data points of a minority class with selected data points of a majority class. One or more ensemble models may be created from the one or more data sets using a supervised machine learning operation. An occurrence of an event may be predicted using the one or more ensemble models.

Abstract: An adjustable supporting frame is disclosed for supporting a display. The adjustable supporting frame mainly comprises a base, a upright, a tilting unit, and a rotating unit, wherein the tilting unit pivotally rotates around an axial line of a connecting shaft, and the rotating unit rotates around a virtual axis, the axial line and the virtual axis intersect with each other.

Abstract: A resource exploitation management system, method and a computer program product therefor. A description of new geological evidence for a geological resource is received, e.g., as one or more triples describing the evidence. Keywords in the description are matched against keywords in representations in a geological resource database. Geological relations are inferred from the descriptions and matched against predefined geological relations from the geological resource database. Consistent triple matches are merged with the geological resource database. The confidence level for merged matches is updated in the geological resource database.

Abstract: A nail gun includes a gun body, a safety unit and an adjusting unit. The safety unit includes a first safety member movable relative to the gun body, and a second safety member for being pushed by the first safety member. The adjusting unit includes a switch member movable between a deep-drive position and a shallow-drive position. The switch member has a first abutment surface aligned with the first safety member when the switch member is at the deep-drive position, and a second abutment surface aligned with the first safety member when the switch member is at the shallow-drive position.

Abstract: A method, system and computer program product for index maintenance in a computer system comprising a plurality of nodes, a database, and an index to the database. In one embodiment, the method comprises, for a defined period of time, building a snapshot of selected change requests received by the nodes to change the database. After this defined period of time, a selection is made, based on specified criteria, whether to rebuild a new index to the database, or to add entries to a current index. When the selection is to rebuild a new index, the new index is rebuilt based on data in the database and in the change requests in the snapshot. When the selection is to add entries to a current index, entries are added to the current index based on data in the database and in the change requests in the snapshot.

Abstract: A method, system and computer program product for index maintenance in a computer system comprising a plurality of nodes, a database, and an index to the database. In one embodiment, the method comprises, for a defined period of time, building a snapshot of selected change requests received by the nodes to change the database. After this defined period of time, a selection is made, based on specified criteria, whether to rebuild a new index to the database, or to add entries to a current index. When the selection is to rebuild a new index, the new index is rebuilt based on data in the database and in the change requests in the snapshot. When the selection is to add entries to a current index, entries are added to the current index based on data in the database and in the change requests in the snapshot.

Abstract: A cutting method includes a pipe of a cutting tool driving a pressing foot assembly of the cutting tool to press against an object in a direction; the pressing foot assembly sliding along the direction by cooperation of a sliding block of the pressing foot assembly and a sliding slot on the pipe to compress a spring of the cutting tool; the compressed spring generating a resilient force for driving the pressing foot assembly to collapse a plurality of wave-shaped core layers of the object; and after the plurality of wave-shaped core layers of the object is collapsed by the pressing foot assembly, a blade assembly of the cutting tool protruding from the pressing foot assembly via an opening on the pressing foot assembly and being driven to cut the collapsed object along another direction perpendicular to the direction without oscillation as the cutting tool moves along the another direction.

Abstract: A motion evaluation system, a method thereof and a computer-readable recording medium are provided. The motion evaluation system includes at least one sensor and a processor. The sensor generates sensing data for a motion posture. The processor obtains the motion posture of the sensor, determines a continued time accumulated when the motion posture conforms to a correct posture, and sends a notification message according to the continued time. The correct posture is related to an angle at which a portion under test inclined to a reference object. Accordingly, the rehabilitation can be performed anytime and anywhere, and it is easier for tracking the rehabilitation situation.

Abstract: Methods and apparatus are provided for incremental frequent subgraph mining on dynamic graphs. An exemplary subgraph mining method comprises maintaining a set of embeddings comprising matching embeddings of a given subgraph in an input graph; maintaining a first fringe set of subgraphs comprising subgraphs substantially on a fringe of frequent subgraphs in the input graph that satisfy a predefined support threshold; maintaining a second fringe set of subgraphs comprising subgraphs substantially on a fringe of infrequent subgraphs in the input graph that do not satisfy the predefined support threshold; for an edge addition, checking a support of the subgraphs in the second fringe set based on the set of the embeddings and searching for new embeddings created by the edge addition; and for an edge deletion, removing obsolete embeddings that comprise the deleted edge from the first fringe set based on the set of embeddings.

Abstract: A method for fabricating an electronic package is provided, which includes the steps of: providing an insulating layer having at least an electronic element embedded therein; forming at least a first via hole on one side of the insulating layer; forming a first conductor in the first via hole of the insulating layer; forming on the insulating layer a first circuit structure electrically connected to the electronic element and the first conductor; and forming a second via hole on the other side of the insulating layer, wherein the second via hole communicates with the first via hole. As such, the second via hole and the first via hole constitute a through hole. Since the through hole is fabricated through two steps, the aspect ratio (depth/width) of the through hole can be adjusted according to the practical need so as to improve the process yield.