Abstract: An electronic device is provided. The electronic device includes a first dielectric layer, an electronic element, an encapsulant, and a second dielectric layer. The first dielectric layer has a first coefficient of thermal expansion (CTE). The electronic element is disposed over the first dielectric layer. The encapsulant encapsulates the electronic element and has a second CTE. The second dielectric layer is disposed over the encapsulant and having a third CTE. The second CTE ranges between the first CTE and the third CTE.

Abstract: A cable-gland system provides a sealing function to openings in an electronic chassis that receive cables. The cable-gland system comprises a plurality of individual cable glands. Each of the plurality of individual cable glands includes an exterior end to be positioned adjacent an exterior of the chassis, and an interior end for positioning within the chassis. Each of the plurality of individual cable glands includes a through-hole extending between the exterior and interior ends for receiving one of the cables, and an outer surface between the exterior and interior ends. Each of the plurality of individual cable glands has a male projection on one side of the outer surface and a female recess on an opposing side of the outer surface. The cable glands are connectable to form the cable-gland system by mating the male projection on one cable gland with the female recess of an adjacent cable gland.

Abstract: A cable-gland system provides a sealing function to openings in an electronic chassis that receive cables. The cable-gland system comprises a plurality of individual cable glands. Each of the plurality of individual cable glands includes an exterior end to be positioned adjacent an exterior of the chassis, and an interior end for positioning within the chassis. Each of the plurality of individual cable glands includes a through-hole extending between the exterior and interior ends for receiving one of the cables, and an outer surface between the exterior and interior ends. Each of the plurality of individual cable glands has a male projection on one side of the outer surface and a female recess on an opposing side of the outer surface. The cable glands are connectable to form the cable-gland system by mating the male projection on one cable gland with the female recess of an adjacent cable gland.

Abstract: A method of detecting leakage within a chassis includes mounting the chassis on a plate disposed in a sealed chamber and fluidly connecting, by a pipe, an interior space of the sealed chamber to a water tank such that a bottom end of the pipe is under a surface of water in the water tank. The method further includes determining, such as observing, whether bubbles are formed at the bottom end of the pipe due to pressurized air flowing into the pipe. The method also includes determining presence of a leak in the chassis due to pressurized air flowing between the chassis and the sealed chamber, before flowing into the pipe.

Abstract: A method of automatically tuning hyperparameters includes receiving a hyperparameter tuning strategy. Upon determining that one or more computing resources exceed their corresponding predetermined quota, the hyperparameter tuning strategy is rejected. Upon determining that the one or more computing resources do not exceed their corresponding predetermined quota, a machine learning model training is run with a hyperparameter point. Upon determining that one or more predetermined computing resource usage limits are exceeded for the hyperparameter point, the running of the machine learning model training is terminated for the hyperparameter point and the process returns to running the machine learning model training with a new hyperparameter point. Upon determining that training the machine learning model is complete, training results are collected and computing resource utilization metrics are determined.

Abstract: A cable-clamp system includes a clamp and a base structure located within an electronic chassis. The base structure includes an upper region, a first side region, and a second side region. The upper region includes a plurality of cable-receptor cavities for receiving the cables. The first side region includes an opening, and the second side region includes a slot. The clamp includes an engagement surface, a first end, and a second end. The first end includes a hook for insertion into the opening to allow pivoting movement of the clamp relative to the base structure. The second end includes a plunger for retention within the slot. When the clamp pivots downwardly to cause the engagement surface to engage the cables, the plunger is retained within the slot to maintain a clamping force on the cables between the base structure and the clamp.

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: A method of detecting leakage within a chassis includes mounting the chassis on a plate disposed in a sealed chamber and fluidly connecting, by a pipe, an interior space of the sealed chamber to a water tank such that a bottom end of the pipe is under a surface of water in the water tank. The method further includes determining, such as observing, whether bubbles are formed at the bottom end of the pipe due to pressurized air flowing into the pipe. The method also includes determining presence of a leak in the chassis due to pressurized air flowing between the chassis and the sealed chamber, before flowing into the pipe.

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: A method of using a computing device to determine a window size in variate time series data that includes receiving, by a computing device, variate time series data associated with a machine learning model. The computing device sets a moving window size and a standard deviation for the variate time series data. The computing device further calculates a moving window average for the variate time series data. The computing device additionally calculates a standard deviation across all variate time series data. The computing device sorts the standard deviations calculated in descending order. The computing device further iterates indices for the standard deviations until the indices have been visited by at least one anchor. The computing device iteratively expands each anchor to cover neighbors' anchors which have been visited by previous anchors. The computing device determines a window size based upon the expanded anchors.

Abstract: A method of using a computing device to train a neural network to recognize features in variate time series data that includes receiving, by a computing device, variate time series data. The computing device further receives results associated with the variate time series data. The computing device determines an anchor of the variate time series data. The computing device additionally determines one or more portions of the variate time series data which lead to a positive result. The computing device further determines one or more portions of the variate time series data which lead to a negative result. The computing device trains a neural network to interpret results of future variate time series data based upon the anchor, the one or more portions of the variate time series data which lead to the positive result, and the one or more portions of the variate time series data which lead to the negative result.

Abstract: A cable entry device for guiding cables through an aperture of an electronic equipment chassis is disclosed. The cable entry device includes a flexible base member. The flexible base has a grommet with a bore therethrough. A slit is formed through the grommet. The grommet holds a cable in the bore. The cable entry device includes a frame mated to the base member. The frame includes an aperture that is operable to receive the cable. The aperture is aligned with the bore of the grommet. The frame holds the base member to the electronic equipment chassis so the grommet extends through the aperture of the electronic equipment chassis.

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 cable-gland system provides a sealing function to openings in an electronic chassis that receive cables. The cable-gland system comprises a plurality of individual cable glands. Each of the plurality of individual cable glands includes an exterior end to be positioned adjacent an exterior of the chassis, and an interior end for positioning within the chassis. Each of the plurality of individual cable glands includes a through-hole extending between the exterior and interior ends for receiving one of the cables, and an outer surface between the exterior and interior ends. Each of the plurality of individual cable glands has a male projection on one side of the outer surface and a female recess on an opposing side of the outer surface. The cable glands are connectable to form the cable-gland system by mating the male projection on one cable gland with the female recess of an adjacent cable gland.

Abstract: A cable-clamp system comprises a base structure and a clamp. The base structure is located within an electronic chassis. The base structure includes an upper region, a first side region, and a second side region. The upper region includes a plurality of cable-receptor cavities for receiving the cables. The first side region includes an opening, and the second side region includes a slot. The clamp includes an engagement surface, a first end, and a second end. The first end includes a hook for insertion into the opening to allow pivoting movement of the clamp relative to the base structure. The second end includes a plunger for retention within the slot. When the clamp pivots downwardly to cause the engagement surface to engage the cables, the plunger is retained within the slot to maintain a clamping force on the cables between the base structure and the clamp.

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 method, computer program product, and/or computer system improves a future efficiency of a specific system. One or more processors receive multiple historical data snapshots that describe past operational states of a specific system. The processor(s) identify a time series pattern for the time series of data in the multiple historical snapshots and calculate their variability. The processor(s) then determine that the variability in a first sub-set of the time series pattern is larger than a predefined value, and determine that future values of the first set of the time series pattern are a set of non-forecastable future values. The processor(s) also determine that the variability in a second sub-set of the time series pattern for the data is smaller than the predefined value, and utilizes this second sub-set to modify the specific system at a current time.

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 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.