Abstract: Configuration, in which images output to a display unit are switched and displayed in accordance with the behavior of a driver, such as movements of the head of the driver, is achieved. Driver information indicating the behavior of the driver of a moving apparatus and images captured by a plurality of cameras that images a situation around the moving apparatus from different viewpoints are input. The images output to the display unit are switched in accordance with the driver information. The plurality of cameras is, for example, a plurality of rear cameras installed in the rear of the moving apparatus. For example, a direction of the face or line-of-sight of the driver is detected. An image in a direction corresponding to the detected direction of the face or line-of-sight of the driver is selected as an output image, and displayed on the display unit. Alternatively, an image in a direction indicated by a gesture of the driver is selected, and displayed on the display unit.

Abstract: It is provided a federated learning system for aggregating gradient information representing a result of training an AI model in an edge device, the federated learning system comprising the edge device and a server apparatus, the training module in the edge device being configured to generate an edge switch share in which the encrypted aggregated gradient is encrypted, and to transmit the generated edge switch share to the server apparatus, the encryption/decryption module in the server apparatus being configured to generate an encrypted aggregated gradient for decryption by adding edge switch shares received from the plurality of the edge device, generate an aggregated gradient by decrypting the generated encrypted aggregated gradient for decryption, and to transmit the generated aggregated gradient to the edge device, the training module in the edge device being configured to train the AI model by using the aggregated gradient received from the server apparatus.

Abstract: In order to make more efficient virtual folder creation work which is required at the time of virtually classifying files, the present invention provides a system having: a function of extracting keywords and frequencies thereof included in metadata; and a function of creating a virtual folder on the basis of the extracted keywords and the extracted frequencies thereof. At the time of extracting the keywords, character strings which can be considered as the keywords are comprehensively extracted. In addition, at the time of creating the virtual folder, the virtual folder is provided with a hierarchical structure including at least two hierarchical levels of a parent folder and a child folder. At the time of creating the child folder, in the case where child folder candidates having equivalent frequencies exist, a candidate having a longer character string is adopted.

Abstract: To remove an underline even if a business document includes a chart or even if the underline touches a character string, provided is an underline removal apparatus that removes an underline area from binary image data including the underline area touching a character string, the underline removal apparatus including: an underline search processing unit that executes a line template matching process by setting a point on the binary image data as a starting point to set a rectangular line template, tracing pixels included in the line template, and extracting a polyline indicating underline position coordinates; and an underline removal processing unit that uses the polyline to execute a process of obtaining background borderline coordinates between the underline area and a background area and character borderline coordinates between the underline area and the character string obtained by applying an interpolation process to a part in the underline area touching the character string and to execute a process of r

Abstract: In order to make more efficient virtual folder creation work which is required at the time of virtually classifying files, the present invention provides a system having: a function of extracting keywords and frequencies thereof included in metadata; and a function of creating a virtual folder on the basis of the extracted keywords and the extracted frequencies thereof. At the time of extracting the keywords, character strings which can be considered as the keywords are comprehensively extracted. In addition, at the time of creating the virtual folder, the virtual folder is provided with a hierarchical structure including at least two hierarchical levels of a parent folder and a child folder. At the time of creating the child folder, in the case where child folder candidates having equivalent frequencies exist, a candidate having a longer character string is adopted.

Abstract: To create and manage vouchers by fully checking the contents of the vouchers so that the vouchers will not contain any flaws in description. Information described in a voucher is analyzed through the analysis of the logical structure of the voucher. It is checked, based on RCM (risk control matrix) prepared for internal control purposes, if an item described in the voucher satisfies a predetermined relationship and also if items described in vouchers, which are generated through a series of operations, satisfy a predetermined relationship. Then, a warning is displayed and entry of modification is accepted.

Abstract: A seal impression is removed while keeping character string information when applying OCR to a business document stored in grayscale, even if the character string and the seal impression overlap with each other. The character string that overlaps is extrapolated by matching a character string present near the seal impression against a database. First, a seal impression region in a document inputted in grayscale is removed. Next, character information that is present near the removed seal impression region and of which a portion of the characters is unclear due to the seal impression region is extracted. Then, an attribute of the extracted seal impression related information is identified, a customer database storing character string candidates containing customer information is referred to, and based on the seal impression related information classified by attribute, the character string that overlaps with the seal impression region and that is thus unclear is extrapolated.

Abstract: To remove an underline even if a business document includes a chart or even if the underline touches a character string, provided is an underline removal apparatus that removes an underline area from binary image data including the underline area touching a character string, the underline removal apparatus including: an underline search processing unit that executes a line template matching process by setting a point on the binary image data as a starting point to set a rectangular line template, tracing pixels included in the line template, and extracting a polyline indicating underline position coordinates; and an underline removal processing unit that uses the polyline to execute a process of obtaining background borderline coordinates between the underline area and a background area and character borderline coordinates between the underline area and the character string obtained by applying an interpolation process to a part in the underline area touching the character string and to execute a process of r