Abstract: The present invention provides a method for manufacturing diamond, comprising electrolytically reducing carbon dioxide into diamond to obtain diamond in an electrolytic reduction apparatus having an anode, a cathode, and an electrolytic solution containing carbon dioxide, wherein the electrolytic solution comprises an ionic liquid.

Abstract: An occupant protection apparatus to be applied to a vehicle includes a contact sensor, an occupant detector, an electromagnetic wave sensor, a control processor, and a protection processor. The contact sensor detects contact of the vehicle. The occupant detector detects whether there is an occupant who is wearing a medical device in the vehicle when the contact sensor detects the contact of the vehicle. The electromagnetic wave sensor detects an electromagnetic wave. The control processor controls the vehicle to reduce the electromagnetic wave inside the vehicle based on a detection result of the electromagnetic wave sensor. The protection processor performs a protection process of protecting the occupant who is wearing the medical device, based on a detection result of the electromagnetic wave sensor after the control processor has controlled the vehicle.

Abstract: A vehicle includes a fatigue state detector, an information provider, and a processor. The fatigue state detector is configured to detect a fatigue degree of an occupant of the vehicle. The information provider is configured to provide various pieces of information related to traveling of the vehicle to the occupant. The processor is configured to change a frequency of providing the various pieces of the information by the information provider, depending on the fatigue degree of the occupant.

Abstract: Methods and systems are provided for training a neural network with augmented data. A dataset comprising a plurality of classes is obtained for training a neural network. Prior to initiation of training, the dataset may be augmented by performing affine transformations of the data in the dataset, wherein the amount of augmentation is determined by a data augmentation variable. The neural network is trained with the augmented dataset. A training loss and a difference of class accuracy for each class is determined. The data augmentation variable is updated based on the total loss and class accuracy for each class. The dataset is augmented by performing affine transformations of the data in the dataset according to the updated data augmentation variable, and the neural network is trained with the augmented dataset.

Abstract: A travel controller of a vehicle that can travel on a road under autonomous driving control detecting two-wheelers, including bicycles, located in surroundings of the vehicle from surrounding data representing the surroundings of the vehicle generated by a surrounding sensor mounted on the vehicle, determining whether a target road on which the vehicle was traveling when the surrounding data in which a two-wheeler was detected was generated is a shared road on which travel by bicycles is permitted, when it is determined that the target road is a shared road, notifying a driver of the vehicle of a transition demand demanding transition in control of the vehicle from autonomous driving control to manual driving control requiring driving operations by the driver of the vehicle, and when it is determined that the target road is not a shared road, not notifying the driver of the transition demand.

Abstract: A vehicle control device has a processor configured to calculate an average speed of a vehicle traveling in a traffic lane and another vehicle in a predetermined range from the vehicle, for each of multiple traffic lanes of a traveling road on which the vehicle is traveling, as a traffic lane average speed, to determine whether the traffic lanes are congested based on the traffic lane average speed for each of the multiple traffic lanes of the traveling road and to estimate whether the traveling road as a whole is congested based on a proportion of traffic lanes of the traveling road that are congested, and to decide to drive the vehicle by automatic control when the traveling road as a whole is congested.

Abstract: A pipe joint structure includes: a union; a flare nut that includes a female thread formed at one of axially opposite ends of the flare nut, and a first annular surface formed at the other of the axially opposite ends of the flare nut; a cylindrical sleeve that houses the flare nut such that the flare nut can be rotate and moved forward and backward; a rotary ring that has a second annular surface located to face the first annular surface, and is attached to the sleeve such that the rotary ring can be rotated for the union; and a pressing member that presses the flare nut toward the rotary ring. At the second annular surface, a claw is formed in such a manner as to protrude towards the flare nut.

Abstract: A method for manufacturing carbon monoxide or an organic compound, which includes electrolytically reducing carbon dioxide to obtain carbon monoxide or an organic compound in an electrolytic reduction apparatus having an anode, a cathode, and an electrolytic solution containing carbon dioxide. Carbon dioxide is selectively reduced into carbon monoxide or a specific organic compound by a potential to be applied to between the anode and the cathode.

Abstract: To provide a robot control system and a robot control method capable of placing a component grasped by a robot hand at an accurate location on another member. A robot control system is provided with: a robot hand configured to grasp a clip; a camera configured to capture an image of the clip grasped by the robot hand, a calculation unit configured to calculate a position of the clip or an inclination of a component based on an imaging result of the clip captured by the camera, and a robot control unit configured to control the robot hand to adjust, based on the position of the clip or the inclination of the component calculated by the calculation unit, a position or an inclination of the robot hand and move the clip to a stringer.

Abstract: A method, system, and computer program product are disclosed. The method includes receiving a set of documents, selecting a topic, and determining that a first document from the set contains a topic label for the topic. The method also includes generating a topic sentiment score for the first document and adding the topic sentiment score to a set of training data. Additionally, the method includes determining that a second document from the set does not contain the topic label, generating an average sentiment score for the second document, and generating a bias factor for the average sentiment score.

Abstract: A method, system, and computer program product for automated annotation scheduling for ground truth consistency are provided. The method receives data to be annotated by one or more annotators of a set of annotators. The data is passed to a student model to generate a student model output. The data is passed to a teacher model to generate a teacher model output. An annotation trend estimation model analyzes the student model output and the teacher model output to determine output characteristics of the student model. The method selects an annotator of the set of annotators as a designated annotator for at least a portion of the data based on the output characteristics of the student model.

Abstract: A feature of a subject file is identified. The feature is compared to a historical feature of a historical file. A similarity between the subject file and the historical file is calculated based on the comparing. A historical success metric for the historical file is identified. An intensive text extraction success value for the subject file is calculated based on the similarity and the historical success metric. Based on the intensive extraction success value, whether an intensive text extraction method should be performed on the subject file is determined.

Abstract: Described are techniques for topic modeling including a computer-implemented method of generating a plurality of topic labels corresponding to a plurality of documents clustered into a plurality of topics, where the plurality of topic labels include a sentiment-oriented topic label and a sentiment-neutral topic label. The method further comprises calculating term frequency-inverse document frequency (TF-IDF) values for respective topic labels and corresponding pluralities of documents. The method further comprises receiving a selected sentiment polarity from a user device. The method further comprises identifying a subset of the plurality of topic labels that satisfy the selected sentiment polarity. The method further comprises transmitting at least one topic label of the subset of the plurality of topic labels to the user device, where the at least one topic label has a higher TF-IDF value than other topic labels in the subset of the plurality of topic labels.

Abstract: A method for a multi-channel search includes receiving a specific post selection submitted in a first channel and query text associated with the specific post in the first channel, where the query text includes one or more words for performing a query evaluation. The method receives a query location which includes a plurality of channels for performing the query evaluation. Responsive to extracting one or more ranking factors from the specific post selection, the method performs the query evaluation at the query location to collect a plurality of potential matching posts based on the one or more ranking factors. The method reorders the plurality of potential matches according to a plurality of determined scores for the plurality of potential matches. The method displays two-dimensional search results based on a timeline and channel relevancy, where the plurality of channels is ordered according to channel relevancy compared to the first channel.

Abstract: Described is a content mining system comprising a crawler configured to retrieve a plurality of files from a data storage system. The content mining system further comprises a plurality of converters configured to extract data from the plurality of files retrieved by the crawler from the data storage system, where each of the plurality of converters is configured to process a respective type of data. The content mining system further comprises a plurality of queues interposed between the crawler and the plurality of converters, where each queue is associated with a single converter.

Abstract: Image classification using a generated mask image is performed by generating a mask image that extracts a target area from an input image, extracting an image feature map of the input image by inputting the input image in a first neural network including at least one image feature extracting layer, masking the image feature map by using the mask image, and classifying the input image by inputting the masked image feature map to a second neural network including at least one classification layer.

Abstract: An approach is provided in which a method, system, and program create a plurality of page clusters in feature space from a plurality of feature vectors corresponding to a plurality of unstructured pages. The method, system, and program product assign one of a plurality of machine learning models to each one of the plurality of page clusters based on a relationship in the feature space between the plurality of page clusters and a plurality of training clusters corresponding to the plurality of machine learning models. The method, system, and program product identify one of the plurality of page clusters that corresponds to a selected one of the plurality of unstructured pages, and transform the selected unstructured page into a structured page using a selected one of the plurality of machine learning models assigned to the identified page cluster.

Abstract: Facilitating annotation of document elements includes obtaining annotations indicating labels applied to document elements of a digital document to be presented in an annotation graphical user interface (GUI), the digital document including the document elements, the document elements being for visual presentation in the annotation GUI to a user, and presenting the annotation GUI on a display device for the user, the annotation GUI configured to facilitate user submission of a respective label for each document element of the document elements, where the presenting presents, as part of the annotation GUI, at least a portion of the digital document including the document elements, and, for each document element, a respective label indicator correlating to the document element and visually indicating a current label selected for that document element and a label submission status for that document element that reflects whether the user has confirmed a label for that document element.

Abstract: A front panel for on-board liquid crystal displays has a high hardness resin composition (B) on at least one side of a layer containing a resin (A) having a polycarbonate resin (a1). The front panel satisfies the following conditions (i) to (iv): (i) the thickness of the layer containing a high hardness resin composition (B) is 10 to 250 ?m, and the total thickness of the layer containing a resin (A) comprising a polycarbonate resin (a1) and the layer containing a high hardness resin composition (B) is 100 to 3,000 ?m; (ii) the high hardness resin composition (B) consists of any one of specific resin compositions (B1) to (B3); (iii) the retardation of the front panel is 3,000 nm or more; and (iv) the standard deviation of the second derivative of the irregular shape of the hard coat layer having irregularities is 0.1 or more.

Abstract: Storage pools having categorized archival storage tapes according to content of files stored on each tape. Archiving new files into the storage pools according to content of the new files for efficient retrieval of files from storage tapes organized by category of content. Recall of multiple files from archival storage tapes to primary storage of an hierarchical storage management system is efficiently performed such that tape mounting operations are minimized.