Abstract: Provided is a technology capable of analyzing business KPIs that make it possible to obtain a plurality of solutions which are harmonized as a whole while taking feasibility into consideration. A KPI evaluation system is a system for evaluating a KPI(s) (Key Performance Indicator(s)) related to business of a stakeholder, wherein a computer including at least a processor, a memory, and a storage device defines relationships between challenges of respective stakeholders regarding two or more stakeholders including the above-mentioned stakeholder; and associates KPI settings of stakeholders, excluding the above-mentioned stakeholder, with the challenges of the respective stakeholders based on the defined relationships between the challenges.

Abstract: A test execution device for executing a plurality of tests on an application, the device including a memory and a processor, wherein the memory is configured to store management information that enables, for each of the tests, specifying a resource configuration of a testing environment where each of the tests can be executed, and the processor is configured to specify, based on the management information, a resource configuration of a testing environment used for execution of each of the tests, aggregate the tests for the respective resource configurations, construct a testing environment for each of the resource configurations, and sequentially execute, in the testing environments, the tests aggregated for the resource configurations of the testing environments.

Abstract: A quantum bit array comprises a semiconductor layer, an insulating layer arranged on the semiconductor layer, and a plurality of first gate electrodes which are arranged on the insulating layer. The plurality of first gate electrodes are each configured to trap an electron having a predetermined spin state in the semiconductor layer through application of a voltage. The quantum bit array comprises means for causing, in a case where the spin state of the electron is to be changed, a current for forming a magnetic field that acts on the electron to flow through at least one of the plurality of first gate electrodes in an extending direction of the at least one of the plurality of first gate electrodes.

Abstract: A branch related to an evasion function of malware in a control flow graph is specified using a signature to detect the evasion function.

Abstract: In anomaly determination using an autoencoder, the present invention enables highly accurate anomaly determination with respect to an unknown anomaly image, even in the case of learning using only a non-defective image. In a learning step of learning a parameter of the autoencoder using a non-defective learning image /{f_i/} captured of a non-defective test target, an anomaly determination accuracy rate Rc of the non-defective learning image /{f_i/} is used as an evaluation value, and a dimension compression rate Rd of a code layer of the autoencoder is maximized or an input signal amount to the code layer or an output signal amount from the code layer is decreased, such that the anomaly determination accuracy rate Rc is maximized or becomes at least a predetermined threshold th.

Abstract: A first secure server: encrypts a data encryption key with a unique key unique to the first secure server; stores the encrypted unique key therein; generates a first ciphertext obtained by encrypting the data encryption key with a first shared key; transmits the first ciphertext to the second secure server; generate a second ciphertext obtained by encrypting an escrow target data with the data encryption key; stores the second ciphertext in the first secure server therein; and outputs duplicated data of the second ciphertext, and a second secure server: decrypts the first ciphertext received from the first secure server with the first shared key to extract the data encryption key; generates a third ciphertext obtained by encrypting the extracted data encryption key with a private key; stores the third ciphertext therein; and delete the private key therefrom.

Abstract: A welding system includes: a setting apparatus configured to move a material to be welded to a desired welding position according to a disturbance condition of the material to be welded 1; a welding robot configured to weld, according to a working condition, the material to be welded moved by the setting apparatus; an inspection apparatus configured to inspect a welding quality of the material to be welded that is welded at a current time; a storage apparatus configured to store the working condition for the current time, the disturbance condition for the current time, and the welding quality of the current time in association with one another; and a determination unit configured to change, when the welding quality of the current time stored in the storage apparatus satisfies a predetermined required quality, the corresponding disturbance condition for the current time and set the changed disturbance condition as a disturbance condition for a next time.

Abstract: A vulnerability analysis method including: acquisition processing of acquiring a component parts identifier, which is an identifier of component parts as parts configuring a product for each identifier of the product from each of a plurality of business operators, and business operator inherent data including an identifier of proprietary software but not included in the component parts from each of a plurality of business operators; correspondence identification processing of identifying a correspondence of an identifier of the product and the component parts identifier between different business operators based on previously created correspondence data; target product identification processing of identifying a target product as a product to be investigated; and vulnerability identification processing of identifying all of the proprietary software included in the target product based on the correspondence identification processing, and identifying vulnerability of software included in the target product by re

Abstract: This control device 10 comprises a model construction unit 11 that constructs a model for simulating a control object 20, a problem subdivision unit 12 that subdivides the model constructed by the model construction unit 11, a control measure calculation unit 13 that predicts the future status of the control object 20 using the model subdivided by the problem subdivision unit 12 and that calculates a control measure for the control object 20 on the basis of the predicted future status, and an operation command generation unit 14 that generates operation commands to the control object 20 on the basis of the control measure calculated by the control measure calculation unit 13.

Abstract: The present invention provides a malware analysis apparatus, a malware analysis method, and a malware analysis system that, in a case where dynamic analysis and static analysis are combined to analyze malware, make it possible to analyze malware more easily compared with a case where the analysis is performed without using the configuration adopted by the present invention. The malware analysis apparatus includes an analysis section, a conversion section, and a generation section. The analysis section performs dynamic analysis and static analysis of analysis target malware. The conversion section converts results of the dynamic analysis and the static analysis into natural language, and generates explanations of the analysis results. The generation section generates information regarding a behavior of analysis target malware, the information being obtained by comparing the explanations generated respectively from the dynamic analysis and the static analysis.

Abstract: A token verification unit performs token verification to verify whether metadata generated by inputting a document into a large language model is appropriate or not using the metadata and a token obtained from nodes on a trace path of a dependency analysis tree based on the input document, a token match score calculation unit obtains a token match score on the basis of a result of the token verification, a grouping unit which groups the metadata in accordance with user's interest terms data which reflects a user's interests using the metadata as it is if the token match score satisfies a predetermined condition, a confidence score calculation unit which calculates a confidence score for the grouped metadata, and a rank calculation unit which ranks the metadata in accordance with the confidence score.

Abstract: A work support device according to the invention detects circuit symbols and conducting wires from circuit drawing data that does not have information unique to a circuit part, and by matching the detection result with a result of tracing a conduction path by handwriting by a worker, the circuit part and the conducting wire through which the conduction path passes are specified.

Abstract: Soft magnetic materials containing Fe and Co in a total amount of 90 mass % or more are provided herein. The soft magnetic materials contain 50 mass % or more of Fe, 40 mass % or less of Co, 0.1 mass % or less of C, 2.0 mass % or less of Ni, 0.2 mass % or less of Mn, Si, Cr, Ti, Nb, and V, and inevitable impurities; and a precipitate of a compound of iron and nitrogen. The precipitate is created by tension annealing a raw material of the soft magnetic material. Methods of producing the soft magnetic materials are further provided. Electric motors using the soft magnetic materials are further provided.

Abstract: Provided is an information processing system for an autonomous system, the information processing system obtaining observation sensor data in the autonomous system and a target of the autonomous system, and including: an agent management unit that stores and manages an agent group; an attention unit configured to select an agent from the agent group based on the target; and an agent cooperation unit configured to generate a new agent in which inputs and outputs of selected agents are integrated and to train a generative model of the new agent based on the observation sensor data.

Abstract: A distributed transaction management device records a transaction settlement result log indicating a settlement result of a transaction in the distributed transaction system. When the distributed transaction management device receives a rollback processing completion notification from any one of multiple resource management units participating in the transaction, the distributed transaction management device deletes the transaction settlement result log of the rollback.

Abstract: A rotary electrical machine comprises a cylindrical stator that generates a magnetic field, a rotor that generates torque through the magnetic field, and a housing that accommodates the stator. The housing comprises a housing body covering an outer circumferential part of the stator, and a housing lid part attached to one end side of the housing body. The stator comprises a stator core having a plurality of teeth, and a stator coil mounted on the stator core, and the stator coil has a plurality of windings wound onto the plurality of teeth, and a crossover wire connecting at least two of the plurality of windings. The crossover wire comprises an insertion mechanism that is provided to the housing lid part and electrically connects end parts of the windings and an end part of the crossover wire through insertion contact.

Abstract: Transfer learning for a target domain that partially matches classification of a source domain having a ground truth is enabled. A learning device stores a first set subjected to classification and assigned with a ground truth and a second set having a class that partially matches the first set, and executes, based on a first loss function of first data and a second loss function of second data, processing of updating, by the number of updates, an identifier for identifying the first data and the second data when a feature of the first data or a feature of the second data is input. The learning device calculates a similarity at which the first data is similar to the second data by a data selector that calculates the similarity at the last time, and updates the data selector and the first distribution based on the estimated value.

Abstract: An information processing apparatus that executes machine learning by a plurality of processing layers includes a processor and a memory, a normal region of the memory holds a parameter of the machine learning, an isolation region isolated from the normal region of the memory holds input data to an i-th layer included in the plurality of processing layers and a parameter of the machine learning, the processor determines whether there is a risk in executing processing of the i-th layer for the input data in the normal region based on a content of secret information of the input data in the isolation region, when determining that there is the risk, executes the processing of the i-th layer for the input data in the isolation region, and when determining that there is no risk, executes the processing of the i-th layer for the input data in the normal region.

Abstract: An investigation support device executes first acquisition processing of acquiring an investigation result including at least one of text data, imaging data, and audio data in investigation at an investigation date and time, second acquisition processing of acquiring first imaging data imaged from a front of an investigator at the investigation date and time and second imaging data imaged from a back of the investigator at the investigation date and time, identification processing of identifying an investigation position at the investigation date and time based on at least one of the first imaging data and the second imaging data acquired by the second acquisition processing, and association processing of associating the investigation result acquired by the first acquisition processing, the second imaging data, and the investigation position identified by the identification processing with the investigation date and time.

Abstract: A bogie frame for a railway vehicle, the bogie frame including structural members defining the frame, and one or more reinforcing components joining the structural members, the or each reinforcing component including: a first fibre-reinforced plastic layer having spaced first and second end portions, the first end portion attaching to a first structural member of the bogie frame, and the second end portion attaching to a second structural member of the bogie frame, wherein the first and second structural members are also joined together by one or more fastening bolts; and a second fibre-reinforced plastic layer disposed on a mid part of the first fibre-reinforced plastic layer between its first and second end portions such that the first and second end portions are left uncovered by the second fibre-reinforced plastic layer, wherein a central portion of the reinforcing component that is stronger than the first and second end portions.