Abstract: A hinge assembly is provided for hingedly connecting a first frame to a second frame, and includes at least one hinge module which includes a first mounting base, a first connection member, a second connection member, and a transmission unit. The first and second connection members are coupled to the first and second frames, respectively, and are turnably mounted to the first mounting base respectively about first and second turning axes which are parallel to and offset from each other. The transmission unit is provided to permit the first and second connection members to turn in opposite rotational directions from each other whilst turning simultaneously.

Abstract: A battery heating system and method using a motor driving system are provided. A temperature of a battery is increased by injecting an alternating current into the battery so that charging and discharging of the battery is repeated using the motor driving system including an inverter and a motor provided in a vehicle.

Abstract: A method and a system for learning and applying neuro-symbolic multi-hop rules are provided. The method includes inputting training texts into a neural network as well as pre-defined entities. The training texts and the entities relate to a specific domain. The method also includes generating an entity graph made up of nodes and edges. The nodes represent the pre-defined entities, and the edges represent passages in the training texts with co-occurrence of the entities connected together by the edges. The method further includes determining a relation based on the passages for each of the pre-defined entities connected together by the edges, calculating a probability relating to the relation, generating a potential reasoning path between a head entity and a target entity. The method also includes learning a neuro-symbolic rule by converting the edges along the potential reasoning path into symbolic rules and combining those rules into the neuro-symbolic rule.

Abstract: A flying DC-to-DC converter has a capacitor protection function of preventing a flying capacitor from overheating. The flying DC-to-DC converter estimates the temperature of a capacitor on the basis of a switching duty and an inductor current determined according to a result of comparison between an output voltage and a voltage instruction value, and determines whether to perform de-rating.

Abstract: A charging system and method using a motor driving system which can charge a vehicle battery using charging equipment providing various voltages using a motor driving system provided in a vehicle and improve charging efficiency by selectively determining a charging mode in response to an actual voltage state of the vehicle battery.

Abstract: A flying DC-to-DC converter has a capacitor protection function of preventing a flying capacitor from overheating. The flying DC-to-DC converter estimates the temperature of a capacitor on the basis of a switching duty and an inductor current determined according to a result of comparison between an output voltage and a voltage instruction value, and determines whether to perform de-rating.

Abstract: A DC-to-DC converter includes a first capacitor, first to fourth switches connected in series between first and second electrodes of the first capacitor, a second capacitor connected to a connection node of the first switch and the second switch and a connection node of the third switch and the fourth switch, an inductor connected to a connection node of the second switch and the third switch, and a controller that performs PWM control. In a case where a failure occurs in the second capacitor, the DC-to-DC converter performs PWM control such that the first switch and the second switch enter the same state and the third switch and the fourth switch enter the same state on the basis of a result of comparison between a first detection voltage that is a measured output voltage and a target output voltage of the DC-to-DC converter.

Abstract: A DC-to-DC converter includes a first capacitor, first, second, third, and fourth switches connected in series between first and second electrodes of the first capacitor, a second capacitor connected to a connection node of the first switch and the second switch and a connection node of the third switch and the fourth switch, an inductor connected to a connection node of the second switch and the third switch, and a controller that controls an on/off state of each of the first to fourth switches on the basis of a value obtained by applying a reciprocal of a detection current that is a measured current flowing through the inductor to a difference between a first detection voltage and a first voltage instruction value and a difference between a second detection voltage and a second voltage instruction value.

Abstract: A method of using multiple artificial intelligence models for generating a high fidelity simulation includes generating, by a computing device, multiple artificial intelligence models. Each artificial intelligence model simulating an industry design process. The computing device further fusing the multiple artificial intelligence models to generate a best-fit proposed industry design process. The computing device utilizes a physics constraint model to determine whether the best-fit proposed industry design process is feasible. The best-fit proposed industry design process is displayed in response to determining that the best-fit proposed industry design process is feasible.

Abstract: A set of documents is parsed. Members of the set of documents include a set of text elements and a set of visual elements. A text content stream based on the set of text elements and a visual content stream based on the set of visual elements are produced. For respective documents, a set of respective visual element summarizations is built from the visual content stream. Each visual summarization includes a textual description of a respective visual element in the respective document. A holistic index is created by indexing the text content from the text content stream and the text descriptions of the visual elements for each document in a single search index. The indexing uses a set of semantic relationships between the text content from the text content stream and the textual descriptions of the visual elements. A user interface allows a user to selectively search text content and visual content.

Abstract: An illumination system, including a first light source for providing a first beam; a second light source for providing a second beam; a wavelength conversion element having a reflection region and a conversion region, wherein the reflection region is for reflecting the first beam and the conversion region is for converting the first beam into a third beam; a first light splitting element for allowing the second beam to pass; a second light splitting element for reflecting the first beam penetrated by the first light splitting element and allowing the second beam to pass, wherein the first light splitting element is disposed between the wavelength conversion element and the second light splitting element; and a light homogenizing element for receiving the first beam, the second beam, and the third beam, and generating an illumination beam, is provided. A projection apparatus including the illumination system is also provided.

Abstract: A light source module and a projection device are provided. The light source module is configured to provide a laser beam and includes multiple laser source units and a focusing lens. The laser source units include a first laser source unit and a second laser source unit, respectively configured to provide a first laser beam and a second laser beam. The focusing lens is located on transmission paths of the first laser beam and the second laser beam. The first laser beam and the second laser beam are respectively incident on the focusing lens along a first direction. The first laser source unit and the second laser source unit are arranged along a second direction.

Abstract: A method (600) for identifying malicious software includes receiving and executing a software application (210), identifying a plurality of uniform resource identifiers (220) the software application interacts with during execution of the software application, and generating a vector representation (260) for the software application using a feed-forward neural network (170) configured to receive the plurality of uniform resource identifiers as feature inputs. The method also includes determining similarity scores (262) for a pool of training applications, each similarity score associated with a corresponding training application and indicating a level of similarity between the vector representation for the software application and a respective vector representation for the corresponding training application.

Abstract: A hinge assembly is provided for hingedly connecting a first frame to a second frame, and includes at least one hinge module which includes a first mounting base, a first connection member, a second connection member, and a transmission unit. The first and second connection members are coupled to the first and second frames, respectively, and are turnably mounted to the first mounting base respectively about first and second turning axes which are parallel to and offset from each other. The transmission unit is provided to permit the first and second connection members to turn in opposite rotational directions from each other whilst turning simultaneously.

Abstract: A method and system of determining an output label rationale are provided. A first generator receives a first class of data and selects one or more input features from the first class of data. A first predictor receives the one or more selected input features from the first generator and predicts a first output label. A second generator receives a second class of data and selects one or more input features from the second class of data. A second predictor receives the one or more selected input features from the second generator and predicts a second output label. A discriminator receives the first and second output labels and determines whether the selected one or more input features from the first class of data or the selected features of the one or more input features from the second class of data, more accurately represents the first output label.

Abstract: A method and system of training a natural language processing network are provided. A corpus of data is received and one or more input features selected therefrom by a generator network. The one or more selected input features from the generator network are received by a first predictor network and used to predict a first output label. A complement of the selected input features from the generator network are received by a second predictor network and used to predict a second output label.

Abstract: A computer system identifies threads in a communication session. A feature vector is generated for a message in a communication session, wherein the feature vector includes elements for features and contextual information of the message. The message feature vector and feature vectors for a plurality of threads are processed using machine learning models each associated with a corresponding thread to determine a set of probability values for classifying the message into at least one thread, wherein the threads include one or more pre-existing threads and a new thread. A classification of the message into at least one of the threads is indicated based on the set of probability values. Classification of one or more prior messages is adjusted based on the message's classification. Embodiments of the present invention further include a method and program product for identifying threads in a communication session in substantially the same manner described above.

Abstract: A system for increasing a temperature of a battery includes an inverter including a plurality of legs each including one pair of switching devices connected in series to each other between opposite ends of the battery and corresponding to a plurality of phases, respectively, a motor including a plurality of coils corresponding to the plurality of phases, respectively, where one end of each of the plurality of coils is connected to a connection node between one pair of switching devices included in a corresponding leg and other ends of the coils are connected to each other, and a controller configured to select two phases of the plurality of phases, and to alternately control an on/off state of switching devices included in two legs in the inverter, corresponding to the two selected phases, at a preset switching frequency to generate alternating current (AC) supplied to the battery.

Abstract: An artificial intelligence (AI) interaction method, system, and computer program product include selecting an artificial intelligence model to respond to a query to generating a response to the query using the selected artificial intelligence model, and receiving the response to the query from the selected artificial intelligence model.

Abstract: A computer-implemented method includes using an embedding network to generate prototypical vectors. Each prototypical vector is based on a corresponding label associated with a first domain. The computer-implemented method also includes using the embedding network to generate an in-domain test vector based on at least one data sample from a particular label associated with the first domain and using the embedding network to generate an out-of-domain test vector based on at least one other data sample associated with a different domain. The computer-implemented method also includes comparing the prototypical vectors to the in-domain test vector to generate in-domain comparison values and comparing the prototypical vectors to the out-of-domain test vector to generate out-of-domain comparison values. The computer-implemented method also includes modifying, based on the in-domain comparison values and the out-of-domain comparison values, one or more parameters of the embedding network.