Abstract: Methods and systems for emulating an application include generating a log template to match one or more patterns in a set of application logs collected from an original application. Semantic state representations are learned for the original application from the log template. A classifier is trained to predict a next action template based on a sequence of prior action templates. A regressor is trained to generate a parameter value for a template based on a sequence of prior action templates and a particular semantic state of the original application.

Abstract: Methods and systems for emulating an application include generating a log template to match one or more patterns in a set of application logs collected from an original application. Semantic state representations are learned for the original application from the log templates. A classifier is trained to predict a next action template based on a sequence of prior action templates. A regressor is trained to generate a parameter value for a template based on a sequence of prior action templates and particular semantic state of the original application.

Abstract: Techniques are described regarding log data comprehension in a computing environment. An associated computer-implemented method includes inducting data into a knowledge base associated with a log comprehension machine learning knowledge model in order to configure a common log schema. The method further includes extracting at least one key-value pair from a log file including input data associated with at least one downstream application and deriving at least one value feature and any key signal associated with the at least one key-value pair. The method further includes applying the log comprehension machine learning knowledge model in order to compare data associated with the at least one key-value pair extracted from the log file with knowledge base node key-value pair data. The method further includes creating mapping results formatted according to the common log schema and compatible with the at least one downstream application based upon the model application.

Abstract: A ratchet wrench for turning a fastener. The wrench comprises a handle, a left head at the left end of the handle, and a right head at the right end of the handle. The left head comprises a left socket part. The right head comprises a right socket part. The left socket part is rotatable within the left head in a first direction (e.g. clockwise or counter-clockwise), but rotationally locked in a second direction. The right socket part is rotatable within the right head in the second direction, but rotationally locked in the first direction.

Abstract: Disclosed are display layers, panels and devices. The display panel has a first display region and a second display region, at least a portion of which is bounded by the first display region, a plurality of first pixels on the first display region, and a plurality of second pixels on the second display region and including a plurality of light-emitting pixels each providing the same color as that produced from one of the first pixels and a plurality of non-light-emitting pixels. A first region where the light-emitting pixels are disposed is asymmetric to a second region where the non-light-emitting pixels are disposed.

Abstract: In various examples, a computer-implemented method includes: receiving, by one or more processing devices, acoustic content data; receiving, by the one or more processing devices, acoustic data for a target environment; training, by the one or more processing devices, a neural network model on the acoustic data for the target environment to extract features of the target environment; using, by the one or more processing devices, the neural network model to transfer the features of the target environment to the acoustic content data; constructing, by the one or more processing devices, the acoustic content data with the transferred features of the target environment; and outputting, by the one or more processing devices, via a user interface (UI), information on and configurable options for the training of the neural network model on the acoustic data for the target environment.

Abstract: Systems, methods and/or computer program products for controlling and visualizing topic modeling results using a topic modeling interface. The interface allows user directed exploration, understanding and control of topic modeling algorithms, while offering both semantic summaries and/or structure attribute explanations about results. Explanations and differentiations between results are presented using metrics such as cohesiveness and visual displays depicting hierarchical organization. Through user-manipulation of features of the interface, iterative changes are implemented through user-feedback, adjusting parameters, broadening or narrowing topic results, and/or reorganizing topics by splitting or merging topics. As users trigger visual changes to results being displayed, users can compare and contrast output from the topic modeling algorithm.

Abstract: A circuit board and a camera module. A first board body of the circuit board can slide under the action of a drive force so as to drive a photosensitive chip to displace relative to a lens component to achieve optical anti-shake. An output pin of a second board body of the circuit board can be electrically connected to a motherboard of a mobile terminal, and the second board body is fixed on a base.

Abstract: A method using weighted aggregated ensemble model for energy demand management of buildings includes initializing data values for integrated model to measure energy consumption, perform statistical analysis on data values to estimate accurate prediction, optimizing the data values using marine predator optimization for integrated model, analyze the output to minimize the mean square error and results show improvement in accuracy of integrated model. The data values comprise of ?, maximum number of splits, minimum leaf size, and ?. The weighted aggregated ensemble model for energy demand management of buildings shows best performance compared with other predictive models such as linear regression (LR), support vector regression (SVR), multilayer perceptron neural network (MLPNN), decision tree (DT), and generalized additive model (GAM).

Abstract: Systems, methods and/or computer program products for controlling and visualizing topic modeling results using a topic modeling interface. The interface allows user directed exploration, understanding and control of topic modeling algorithms, while offering both semantic summaries and/or structure attribute explanations about results. Explanations and differentiations between results are presented using metrics such as cohesiveness and visual displays depicting hierarchical organization. Through user-manipulation of features of the interface, iterative changes are implemented through user-feedback, adjusting parameters, broadening or narrowing topic results, and/or reorganizing topics by splitting or merging topics. As users trigger visual changes to results being displayed, users can compare and contrast output from the topic modeling algorithm.

Abstract: An embodiment of the present invention relates to a camera module comprising: a housing comprising a through hole; a lens module disposed in the through hole; a connector penetrating the housing and extending to an outside from an inside of the housing; a first substrate unit located inside the housing and having an image sensor mounted thereon; a second substrate unit disposed inside the housing and connected to the connector; and a flexible substrate for electrically connecting the first substrate and the second substrate unit, wherein the flexible substrate is coupled to a lower surface of the first substrate unit and a side surface of the second substrate.

Abstract: Embodiments relate to a system, program product, and method for inducing creativity in an artificial neural network (ANN) having an encoder and decoder. Neurons are automatically selected and manipulated from one or more layers of the encoder. An encoded vector is sampled for an encoded image. Decoder neurons and a corresponding activation pattern are evaluated with respect to the encoded image. The decoder neurons that correspond to the activation pattern are selected, and an activation setting of the selected decoder neurons is changed. One or more novel data instances are automatically generated from an original latent space of the selectively changed decoder neurons.

Abstract: An aerator device and a filter system including the same are provided. The aerator device includes: a housing having an inner cavity defined therein, the housing including at least one sidewall and an upper surface connected to the at least one sidewall; a first partition formed within the inner cavity and extending from an upper end to a lower end to define a first cavity and a second cavity; and a second partition formed within the inner cavity between the first partition and a first sidewall of the at least one sidewall and extending from an upper end to a lower end to define a first chamber and a second chamber of the second cavity, and the housing includes an inlet opening communicating with the first cavity and an outlet opening communicating with the second chamber, and the second chamber gradually narrows towards the upper surface of the housing.

Abstract: An embodiment of the present invention relates to a camera module comprising: a housing comprising a through hole; a lens module disposed in the through hole; a connector penetrating the housing and extending to an outside from an inside of the housing; a first substrate unit located inside the housing and having an image sensor mounted thereon; a second substrate unit disposed inside the housing and connected to the connector; and a flexible substrate for electrically connecting the first substrate and the second substrate unit, wherein the flexible substrate is coupled to a lower surface of the first substrate unit and a side surface of the second substrate.

Abstract: An embodiment of the present invention relates to a camera module comprising: a housing comprising a through hole; a lens module disposed in the through hole; a connector penetrating the housing and extending to an outside from an inside of the housing; a first substrate unit located inside the housing and having an image sensor mounted thereon; a second substrate unit disposed inside the housing and connected to the connector; and a flexible substrate for electrically connecting the first substrate and the second substrate unit, wherein the flexible substrate is coupled to a lower surface of the first substrate unit and a side surface of the second substrate.

Abstract: A method for obtaining information and status about a monitored system by adaptively analyzing log messages is provided. A log analyzer receives log messages generated by a monitored system. The log analyzer identifies static and variable portions in the received log messages. The log analyzer generates a template based on the identified static and variable portions of the received log messages. The log analyzer computes a metric for the generated template based on a number of log messages that fall within the template. The log analyzer reports a status in the monitored system based on the computed metric.

Abstract: A method for obtaining information and status about a monitored system by adaptively analyzing log messages is provided. A log analyzer receives log messages generated by a monitored system. The log analyzer identifies static and variable portions in the received log messages. The log analyzer generates a template based on the identified static and variable portions of the received log messages. The log analyzer computes a metric for the generated template based on a number of log messages that fall within the template. The log analyzer reports a status in the monitored system based on the computed metric.

Abstract: Techniques for assessing the proficiency of artificial intelligence agents and users in a given knowledge domain are described. A plurality of proficiency agents can be initialized with a plurality of proficiency scores, by performing a plurality of assessments between pairs of proficiency agents selected from the plurality of proficiency agents. A first client device associated with a first user is matched with a first proficiency agent of the plurality of proficiency agents, based on a first proficiency score associated with the first user and a second proficiency score of the plurality of proficiency scores corresponding to the first proficiency agent. Assessments results of an assessment performed between the first client device and the first proficiency agent are received, and a rating system update function is used to update the first proficiency score and the second proficiency score, based on the assessment results.

Abstract: According to various example embodiments, a method of providing information by a computing device may include checking an input information set, receiving a first result information set corresponding to the input information set from a first server, receiving a second result information set corresponding to the input information set from a second server, and providing a third result information set including information on or regarding a difference between the first result information set and the second result information set. Various other example embodiments may be possible.

Abstract: Provided are a method and apparatus for providing and using content advisory (CA) information on Internet contents. A method of providing CA information by using a CA information server, includes receiving a request for the CA information on a content, from an Internet Protocol television (IPTV); searching for CA information on the content; and transmitting the found CA information to the IPTV. A method of using CA information when an IPTV reproduces a content not having the CA information, according to the present invention, includes transmitting a request for CA information, to a CA information server; receiving the CA information from the CA information server; analyzing the CA information; and applying the CA information.