Abstract: Methods and systems for executing tracking and monitoring manufacturing data of a battery are disclosed. One method includes: receiving, by a server system, sensing data of the battery from a sensing system; generating, by the server system, mapping data based on the sensing data; generating, by the server system, identification data of the battery based on the sensing data; generating, by the server system, monitoring data of the battery based on the sensing data, the identification data, and the mapping data; and generating, by the server system, display data for displaying a simulated electrode of the battery on a graphical user interface based on the monitoring data of the battery.

Abstract: A method and apparatus for predicting game difficulty by using a deep-learning based game play server predict a difficulty of stage maps of a match puzzle game using a deep-learning based game play server that performs the match puzzle game and modify the stage maps. The deep-learning based game play server includes: a communicator configured to receive first stage maps of a first size and second stage maps of a second size; memory configured to store an agent model; at least one processor configured to perform learning of the agent model and perform the match puzzle game using the learned agent model.

Abstract: A method and apparatus for predicting game difficulty by using a deep-learning based game play server predict a difficulty of stage maps of a match puzzle game using a deep-learning based game play server that performs the match puzzle game and modify the stage maps. The deep-learning based game play server includes: a communicator configured to receive first stage maps of a first size and second stage maps of a second size; memory configured to store an agent model; at least one processor configured to perform learning of the agent model and perform the match puzzle game using the learned agent model.

Abstract: Disclosed are an apparatus and method for generating a natural language. According to an embodiment of the present disclosure, the method for generating the natural language includes receiving a plurality of pieces of data, generating a sentence ID sequence including one or more sentence IDs from the plurality of pieces of data, and generating a sentence corresponding to each of the sentence IDs included in the sentence ID sequence from the sentence ID sequence and the plurality of pieces of data.

Abstract: Disclosed are an apparatus and method for detecting a debatable document. According to an embodiment of the present disclosure, the method for detecting a debatable document includes the steps of receiving a document including one or more sentences; generating an embedding vector for each of words included in the document; and extracting features of the document from an embedding vector matrix including the embedding vectors for the words, and detecting debatability of the document from the extracted features through a detection model including a two-step convolutional neural network.

Abstract: Disclosed are an apparatus and method for detecting a debatable document. According to an embodiment of the present disclosure, the method for detecting a debatable document includes the steps of receiving a document including one or more sentences; generating an embedding vector for each of words included in the document; and extracting features of the document from an embedding vector matrix including the embedding vectors for the words, and detecting debatability of the document from the extracted features through a detection model including a two-step convolutional neural network.

Abstract: Disclosed are an apparatus and method for sentence abstraction. According to one embodiment of the present disclosure, the method for abstracting a sentence includes receiving a plurality of sentences including natural language; generating a sentence vector for each of the plurality of sentences by using a recurrent neural network model; grouping the plurality of sentences into one or more clusters by using the sentence vector; and generating the same sentence ID for sentences grouped into the same cluster among the plurality of sentences.

Abstract: Disclosed are an apparatus and method for generating a natural language. According to an embodiment of the present disclosure, the method for generating the natural language includes receiving a plurality of pieces of data, generating a sentence ID sequence including one or more sentence IDs from the plurality of pieces of data, and generating a sentence corresponding to each of the sentence IDs included in the sentence ID sequence from the sentence ID sequence and the plurality of pieces of data.

Abstract: An apparatus and a method for automatically accessing a relevant group when determining that message inform information is transmitted from the relevant group in order to determine that the message is generated from the relevant group without accessing the relevant group are provided. The apparatus includes a group service server and a mobile terminal. The group service server generates message inform information informing of presence of a message which a user, registered in a relevant group, desires to transfer to all users registered in the relevant group when transmitting a group message. When determining reception of the message inform information informing of presence of a message which the user registered in the relevant group desires to transfer to all of the users registered in the relevant group, the mobile terminal accesses the group which has transmitted the message, receives, and stores the relevant group message.

Abstract: An apparatus and method for improving the performance of voice recognition in a portable terminal are provided. The apparatus includes a voice recognition management unit, and a controller. After recognizing a user's voice and extracting at least one voice parameter, the voice recognition management unit determines if the extracted at least one voice parameter meets a criterion for determining one of success and failure of voice recognition. The controller analyzes a result of the determination by the voice recognition management unit and outputs a result of the analysis.

Abstract: An apparatus and a method for automatically accessing a relevant group when determining that message inform information is transmitted from the relevant group in order to determine that the message is generated from the relevant group without accessing the relevant group are provided. The apparatus includes a group service server and a mobile terminal. The group service server generates message inform information informing of presence of a message which a user, registered in a relevant group, desires to transfer to all users registered in the relevant group when transmitting a group message. When determining reception of the message inform information informing of presence of a message which the user registered in the relevant group desires to transfer to all of the users registered in the relevant group, the mobile terminal accesses the group which has transmitted the message, receives, and stores the relevant group message.

Abstract: A torque compensating apparatus and method for a turbo-charger, includes a sensor for detecting a crank angle of a crank, a control unit for generating a control signal according to the detection, a compressing mechanism for selectively generating pressure toward a turbine, and a switch circuit for selectively activating the compressing mechanism according to the control signal so as to continuously rotate the turbine even during an intake stroke.