Abstract: This disclosure provides a method, a computing system, and a computer program product for managing prefetching of pages in a database system. The method comprises obtaining shared information associated with page access, wherein the shared information associated with the page access includes information associated with the page access from a plurality of computing nodes. The method further comprises determining whether to prefetch a number of pages into a global buffer pool based at least on the shared information associated with the page access using a sequential prefetching method.

Abstract: Disclosed are a computer-implemented method, a system and a computer program product for feature processing. In the computer-implemented method for feature processing, two input features selected from multiple features of each sample in a sample set are projected to one resulting feature by one or more processing units based on a specified curve. The sample set is updated by replacing the two input features with the one resulting feature for each sample in the sample set by one or more processing units. The projecting and the updating for the sample set are repeated by one or more processing units until the number of features of each sample in the sample set reaches a predetermined criterion.

Abstract: A hidden type holder device includes: a stationary assembly, a movable assembly, and a first return spring, the movable assembly is accommodated in the stationary assembly and movable to the inside or outside of the stationary assembly, the movable assembly has a retractable holder assembly for accommodating an article, and two opposite end portions of the return spring are respectively mounted on the stationary assembly and the movable assembly.

Abstract: A rotatable armrest includes: a housing; a button system; and a hinge system engaged to the button system, in which the button system and the hinge system are provided in the housing, in which the hinge system includes a hinge shaft, and the rotatable armrest is fixed at a first position, a second position, or a third position by being rotated about the hinge shaft, and in which the rotatable armrest is configured to be positioned to be folded downward at the first position, the rotatable armrest is configured to be positioned to be directed forward horizontally at the second position, and the rotatable armrest is configured to be positioned to be directed rearward horizontally at the third position.

Abstract: A method for adding dimensions to a visual representation is disclosed. In one embodiment, such a method obtains a data set containing data in a plurality of rows and columns (i.e., dimensions). The method divides the dimensions into a plurality of groups and determines a coordinate system for each group. For each row in the data set, the method determines data points for each group in the corresponding coordinate system. The method then connects the data points for each row with lines to create a visual representation for the data set. In certain embodiments, each group in the data set utilizes a two-dimensional coordinate system. In other embodiments, each group in the data set utilizes a three-dimensional coordinate system. In yet other embodiments, a mix of two-dimensional coordinate systems and three-dimensional coordinate systems are used. A corresponding system and computer program product are also disclosed.

Abstract: This disclosure provides a method, a computing system, and a computer program product for managing prefetching of pages in a database system. The method comprises obtaining shared information associated with page access, wherein the shared information associated with the page access includes information associated with the page access from a plurality of computing nodes. The method further comprises determining whether to prefetch a number of pages into a global buffer pool based at least on the shared information associated with the page access using a sequential prefetching method.

Abstract: Constructing a feature segment-based ensemble can include generating a data structure for each element of an initial set of training data. Multiple strongly correlated features of the elements can be identified as well as weakly correlated features. For each strongly correlated feature, a feature segmentation training set can be generated, each training set's elements each containing one of the strongly correlated features and excluding other strongly correlated features. One or more machine learning algorithms can be selected from a software library. The one or more machine learning algorithms can be applied to the feature segmentation training sets to train multiple machine learning models. Each machine learning model that improves the predictive accuracy of the feature segment-based ensemble can be integrated in the feature segment-based ensemble.

Abstract: An air vent apparatus for a vehicle and a vehicle provided with the air vent apparatus includes: a controller mounted on a vehicle body; a mounting base mounted on the vehicle body and including a discharge port formed at a rear end portion of the mounting base; an air guide assembly mounted adjacent to the discharge port of the mounting base; and a drive assembly electrically connected to the controller and configured to drive the air guide assembly engaged to the drive assembly to rotate to a first position, a second position, or a third position under a control of the controller.

Abstract: A rotatable cup holder for a vehicle and a vehicle provided with the same, includes a cup holder mounting seat configured to be mounted on a vehicle body and including a first accommodation chamber recessed downward, a cup holder main body rotatably mounted in the first accommodation chamber, and a cup holder upper cover fixed to an upper portion of the cup holder main body and including a catching groove provided in an upper surface of the cup holder upper cover to mount an object in the catching groove. The rotatable cup holder is mounted in a vehicle. The rotatable cup holder for a vehicle may hold an object such as a mobile phone and be rotatable to enable the user at various positions to use the rotatable cup holder.

Abstract: Computer technology for transforming data in a data store (for example, a database) through a user interface (UI) in the form of a visualization diagram having human understandable visual information. A user interacts with the visualization diagram to effect desired transformations in the data of the data store.

Abstract: Provides a method for hashing structural data. According to this method, structural data that includes a plurality of keys and a plurality of values corresponding to respective keys is received. A plurality of key-value pairs can be parsed from the structural data, with each of the plurality of key-value pairs including a key and a value respectively corresponding to the key. A hash value of the plurality of key-value pairs is computed according to a predefined policy as a hash value of the structural data, wherein the predefined policy includes sorting the plurality of key-value pairs or processed key-value pairs.

Abstract: A computer implemented method for managing datasets for a histogram. The method uses a number of processor units to determine a first span for first bins containing first datapoints in a first dataset in the datasets. The first span is determined based a distribution of the first datapoints in the first dataset and a desired number of bins. The number of processor units adjusts a second span for second bins containing second datapoints in a second dataset in the datasets to form an adjusted span that matches the first span for the first bins. The number of processor units merges the first datapoints in the first bins having the first span with the second datapoints in the second bins having the adjusted span to form a merged dataset for the histogram.

Abstract: Provided are a rotatable armrest and a console assembly provided with the rotatable armrest. The rotatable armrest includes a case, a knob system, and a hinge system, in which the knob system and the hinge system are mounted in the case. The hinge system includes a counterbalance shaft, and the rotatable armrest may be rotatable about the counterbalance shaft and fixed in a first position, a second position, and a third position. In the first position, the rotatable armrest is positioned in a folded down position, in the second position, the rotatable armrest is positioned in a horizontally forward-facing position, and in the third position, the rotatable armrest is positioned in a horizontally backward-facing position.

Abstract: Methods, computer program products, and/or systems are provided that perform the following operations: obtaining a series of indicator diagrams corresponding to strokes of a pumpjack over a specific time duration, dividing each indicator diagram into a plurality of location segments in a direction of location of the rod; obtaining load difference features between upstroke loads and corresponding downstroke loads in the plurality of location segments; identifying a location segment with an abnormal load difference feature based on a time series data of load difference feature corresponding to one of the plurality of location segments, the time series data of load difference feature including a series of data points of load difference feature of the one of the plurality of location segments in time order; and providing an indication of a potential problem based, at least in part, on the identification of the location segment with an abnormal load difference feature.

Abstract: A method, computer program product and computer system to track and test custom webpage components is provided. A processor retrieves a production webpage. A processor determines a custom component of the production webpage. A processor retrieves component metadata associated with the custom component. A processor generates a hidden element in the production webpage including the component metadata, wherein the production webpage is configured to make the hidden element visible in response to an event.

Abstract: An approach is provided in which the approach constructs a 3-dimensional (3D) matrix based on a plurality of historical transactions performed by a user. The 3D matrix includes a set of features, a set of rows, and a set of channels. The approach trains a convolutional neural network using the 3D matrix, and then uses the trained convolutional neural network to predict a risk level of a new transaction initiated by the user. The approach transmits an alert message based on the predicted risk level.

Abstract: An approach is provided in which the approach constructs a 3-dimensional (3D) matrix based on a plurality of historical transactions performed by a user. The 3D matrix includes a set of features, a set of rows, and a set of channels. The approach trains a convolutional neural network using the 3D matrix, and then uses the trained convolutional neural network to predict a risk level of a new transaction initiated by the user. The approach transmits an alert message based on the predicted risk level.

Abstract: A computer transforms a machine learning model. The computer receives a first Machine Learning model trained to assign a first set of classes to data samples based, on data features. The computer receives a first set of data samples having features and being assigned to a class in accordance with the features. The computer calculates for each data sample, a vector representing features of the sample and determines, for each of the first set of classes, a class largest intra-sample distance. The computer generates data samples having feature combinations outside the first set of classes. The computer transforms the first Machine Learning model into a second Machine Learning model by training the first Machine Learning model with training data including second set data samples labeled with associated second data class assignments.

Abstract: An approach is provided in which the approach builds a combination model that includes a normal status model and an abnormal status model. The normal status model is built from a set of time-sequenced normal status records and the abnormal status model is built from a set of time-sequenced abnormal status records. The approach computes a set of time-sequenced coefficient combination values of the normal status model and the abnormal status model based on applying a set of fitting coefficient characteristics to the normal status model and the abnormal status model. The approach performs goal seek analysis on a system using the combination model and the set of time-sequenced coefficient combination values.

Abstract: Methods, systems, and devices for skipping pages for weak wordlines of a memory device during pre-programming are described. A memory device may be configured to operate in a first mode involving skipping one or more pages (e.g., a lower page (LP)) associated with a set of wordlines. In some examples, a testing system may determine the set of wordlines (e.g., weak wordlines) for which to skip pages according to performance degradation for the wordlines in response to applying a threshold temperature to a test memory device. In the first mode, the memory device may store (e.g., pre-program) data in a subset of pages distinct from the skipped pages. The memory device may switch to a second mode in response to a trigger condition. In the second mode, the memory device may use each page associated with the wordlines and may refrain from skipping the one or more pages.