Abstract: An inkjet recording apparatus includes a recording head including a plurality of nozzles for ejecting ink, a conveyor belt that has a plurality of apertures and conveys recording media one by one, a control unit, an ink receiver, and a pipe-shaped ink discharge flow path. The control unit controls drive of the recording head and the conveyor belt to perform flushing, in which the ink is ejected from the nozzle of the recording head to pass through one of the apertures, at a timing different from a timing contributing to image recording. The ink receiver is disposed to face the recording head sandwiching the conveyor belt therebetween, to receive the ink after passing through the aperture when the flushing is performed. The ink discharge flow path is connected to the ink receiver. When the flushing is performed, a predetermined amount of liquid is stored in the ink receiver.

Abstract: A raw material fluid treatment plant provided with a raw material reaction apparatus for reacting a raw material fluid to form a reaction gas. The raw material reaction apparatus includes preheaters and a reactor. The preheaters are heat exchangers that perform heat exchange between a second heat transfer medium and the raw material fluid to heat the raw material fluid. The reactor is a heat exchanger that performs heat exchange between a first heat transfer medium differing from the second heat transfer medium and the raw material fluid having been heated by the preheaters to heat and react the raw material fluid.

Abstract: A computer-implemented method of Named Entity Recognition (NER) includes receiving an input, identifying a plurality of candidate entities corresponding to the input, assigning word embeddings to the input at an embedding layer, capturing sequential context of the word embeddings in an encoding layer to obtain encoded word embeddings, constructing an entity relation graph using global coreference relations and local dependency relations to obtain a coreference graph and a dependency graph, fusing the encoded word embeddings, coreference graph, and dependency graph, via a graphical neural network (GNN), to obtain updated word embeddings, and decoding the updated word embeddings via a decoding layer to obtain enriched entity predictions.

Abstract: A system and method are disclosed that enable rapid and cost-effective human-in-the-loop synthesis of domain-specific textual training data for a deep learning model. The data augmentation process incorporates a sentence generator, a sentence classifier, and weak-supervision by a domain expert that is ‘in the loop.’ Generally, both the sentence generator and the sentence classifier are implemented as machine learning models. The sentence generator generates new sentences based on manually labeled sentences and the sentence classifier generates labels for the newly generated sentences. The new sentences are corrected or verified by a domain expert and then used to retrain one or both of the sentence generator and the sentence classifier.

Abstract: A computer-implemented system and method relate to factual knowledge retrieval with entity type clarification. A set of candidates is generated for a first prompt. The set of candidates provide a solution to the first prompt. A set of second prompts is generated based on the set of candidates. A set of entity types is generated using the set of second prompts. The set of entity types categorize the set of candidates. The set of entity types is output via a user interface. A selected entity type is received via the user interface. The selected entity type is chosen from among the set of entity types. A selected candidate is output. The selected candidate corresponds to the selected entity type.

Abstract: A server includes a controller in communication with the server and configured to receive a query related to an issue with a vehicle, retrieve information related to the query from a database that includes structured data including data related to vehicle issues and a solution to the vehicle issues, determine whether the database includes structured data including data related to the solution responsive to the query, and output information including the solution to the issue when the determination identifies that the structured data including the solution in the database or retrieve information from a website when the determination identifies that the structured data including the solution is not found in the database, wherein the controller is further configured to retrieve the information from the website by conducting a keyword search for a first set of results and filtering the information from the website utilizing an autoencoder.

Abstract: Methods for training a relation extraction model include using dependency parsing, constituency parsing, and lexically constrained paraphrasing to augment the training data for the model. Adaptive curriculum learning is used to train the model using the augmented training data such that different scoring functions are used at different levels of training to order the training data for the curriculum learning.

Abstract: A system and method is disclosed for classifying natural language sentences by employing external knowledge to assist in constructing a knowledge base of sentences with a target meaning. The disclosed system and method provide a general sentence classification framework applicable for a knowledge-oriented domain (e.g., domain-specific knowledge). The system and method may be implemented in an intelligent automotive aftermarket assistance tool to assist with the identification of sentences describing specific problems and solutions for car repairs. In addition to the domain adaptability, the system and method is language-independent and could be applicable to any natural written language.

Abstract: A charging system which charges a power storage device mounted on a moving object, includes: an electric power conversion device that converts electric power supplied from a commercial power supply; a kinetic energy storage device that stores kinetic energy; and a rotary electric machine that is electrically connected to the electric power conversion device and is mechanically connected to the kinetic energy storage device.

Abstract: A computer-implemented system and method relate to natural language processing and knowledge representation and reasoning. A first dataset is created that includes input data and situational data. The situational data provides context for the input data. An encoder is configured to generate an encoded representation of the first dataset. The encoder includes at least an encoding network of a first pre-trained generative machine learning model, which relates to a generative knowledge graph. A decoder includes a decoding network of a second pre-trained generative machine learning model. The decoder is configured to generate response data based on the first dataset by decoding the encoded representation. The decoder is also configured to generate event-centric knowledge based on the first dataset by decoding the encoded representation. The input data and the response data are connected to the same event-centric knowledge via the generative knowledge graph.

Abstract: A ferritic stainless steel sheet and a steel pipe as a material suitable for a heat-resistant component that is required to have especially excellent formability are provided. The ferritic stainless steel sheet contains 10 to 20 mass % of Cr and a predetermined amount of C, Si, Mn, P, S, Al and one or both of Ti and Nb, a {111}-orientation intensity being 5 or more and {411}-orientation intensity being less than 3 at a portion in the vicinity of a sheet-thickness central portion of the ferritic stainless steel sheet. Further, with similar composition and by setting {111}<110>-orientation intensity at 4.0 or more and {311}<136>-orientation intensity at less than 3.0, a relationship rm??1.0t+3.0 (t(mm): sheet thickness, rm: average r-value) is satisfied, thereby providing a ferritic stainless steel sheet and a steel pipe with excellent formability.

Abstract: A system and method are disclosed that enable rapid and cost-effective human-in-the-loop synthesis of domain-specific textual training data for a deep learning model. The data augmentation process incorporates a sentence generator, a sentence classifier, and weak-supervision by a domain expert that is ‘in the loop.’ Generally, both the sentence generator and the sentence classifier are implemented as machine learning models. The sentence generator generates new sentences based on manually labeled sentences and the sentence classifier generates labels for the newly generated sentences. The new sentences are corrected or verified by a domain expert and then used to retrain one or both of the sentence generator and the sentence classifier.

Abstract: An information processing system includes: a first acquisition unit that acquires battery information on a battery of each of one or more vehicles; a second acquisition unit that acquires supply source information on a state of a power supply source; a selection unit that selects a vehicle for providing electric power for the power supply source as a power source out of the one or more vehicles, based on the supply source information and the battery information; and a request unit that requests the vehicle selected as the power source to provide the electric power.

Abstract: A coil device includes a coil portion including at least a coil, a housing including a base disposed on a side of a first surface of the coil portion and a cover disposed on a side of a second surface of the coil portion and accommodating the coil portion in an internal space formed by the base and the cover, and a fixing member fixing the cover to the base. The fixing member includes a first fixing portion disposed along at least the cover on a first outer periphery of the housing surrounding the base and the cover.

Abstract: A coil device is provided with a coil and a holder which holds the coil. The coil is formed by a conductive wire being wound in a wound wire direction and includes a plurality of turns that are adjacent in a direction intersecting the wound wire direction. The holder includes a plurality of first holding portions that hold the conductive wire in such a way that the conductive wire passes along a plurality of first paths corresponding to the plurality of turns, and at least one second holding portion which holds the conductive wire in such a way that the conductive wire passes along a second path extending in a direction intersecting the wound wire direction and connecting the first paths.

Abstract: A system and method is disclosed for classifying natural language sentences by employing external knowledge to assist in constructing a knowledge base of sentences with a target meaning. The disclosed system and method provide a general sentence classification framework applicable for a knowledge-oriented domain (e.g., domain-specific knowledge). The system and method may be implemented in an intelligent automotive aftermarket assistance tool to assist with the identification of sentences describing specific problems and solutions for car repairs. In addition to the domain adaptability, the system and method is language-independent and could be applicable to any natural written language.

Abstract: A ferritic stainless steel sheet and a steel pipe as a material suitable for a heat-resistant component that is required to have especially excellent formability are provided. The ferritic stainless steel sheet contains 10 to 20 mass % of Cr and a predetermined amount of C, Si, Mn, P, S, Al and one or both of Ti and Nb, a {111}-orientation intensity being 5 or more and {411}-orientation intensity being less than 3 at a portion in the vicinity of a sheet-thickness central portion of the ferritic stainless steel sheet. Further, with similar composition and by setting {111}<110>-orientation intensity at 4.0 or more and {311}<136>-orientation intensity at less than 3.0, a relationship rm??1.0t+3.0 (t(mm): sheet thickness, rm: average r-value) is satisfied, thereby providing a ferritic stainless steel sheet and a steel pipe with excellent formability.

Abstract: A foreign object detection device for a coil device including a second coil to transmit power to a first coil wirelessly or receive power from the first coil wirelessly including: a foreign object detection coil configured to be located between the first coil and the second coil; and a cover configured to cover an upper portion of the foreign object detection coil, wherein a top surface of the cover includes at least one inclined surface inclined relative to a coil plane of the second coil, and the inclined surface is inclined downward from a low sensitivity region where detection sensitivity of the foreign object detection coil is relatively lower to a high sensitivity region where the detection sensitivity of the foreign object detection coil is relatively higher.

Abstract: An information processing system includes: a first acquisition unit that acquires battery information on a battery of each of one or more vehicles; a second acquisition unit that acquires supply source information on a state of a power supply source; a selection unit that selects a vehicle for providing electric power for the power supply source as a power source out of the one or more vehicles, based on the supply source information and the battery information; and a request unit that requests the vehicle selected as the power source to provide the electric power.

Abstract: According to the present disclosure, a power transmitter includes a first coil configured to wirelessly transmit power to a second coil of a power receiver, a direct current (DC)/alternating current (AC) converter configured to convert DC power into AC power and supply the AC power to the first coil, and a controller configured to perform frequency control for selecting a frequency of the AC power. The controller at least selects the frequency so that the DC power is less than or equal to withstand power of the DC/AC converter regardless of an amount of misalignment of the second coil with respect to the first coil.