Abstract: A non-transitory computer-readable recording medium having stored therein an information processing program that causes a computer having a plurality of calculation resources to execute a process including, when a processing target program is allocated to any of the plurality of calculation resources that are able to execute the processing target program, stopping allocating the processing target program to a first calculation resource, from among the plurality of calculation resources, that has not yet executed the processing target program in a case where a sum of an amount of context information stored in a memory of the first calculation resource and an amount of context information of the processing target program is equal to or greater than a first threshold value.

Abstract: According to an aspect of an embodiment, operations may include obtaining data corresponding to a completed process flow, the completed process flow being associated with an incident that has been resolved. The operations may further include generating one or more labels that serve as target variables for training a machine learning model based on the data corresponding to the completed process flow. The operations may additionally include extracting a subset of the data corresponding to a predefined time range cutoff. Further, the operations may include generating a plurality of features derived from the data corresponding to the completed process flow for training the machine learning model and training the machine learning model to predict future behavior of ongoing process flows using the plurality of features and the one or more labels associated with the data corresponding to the completed process flow.

Abstract: A computer-readable recording medium stores therein a program for causing a computer to execute a process, the process including: calculating a plurality of density matrices respectively corresponding to a plurality of fragments obtained by dividing a structure of a molecule, based on a predetermined parameter by using a first optimization calculation method; and updating the predetermined parameter according to a Newton-Krylov method so as to maintain consistency among the plurality of fragments, when a predetermined exit condition is not satisfied, the predetermined parameter being updated based on the calculated plurality of density matrices and by referring to a Jacobian approximation formula and using a second optimization calculation method having a smaller calculation amount than the first optimization calculation method. The calculating and updating are iteratively executed until the predetermined exit condition is satisfied.

Abstract: A ring oscillator included in a reference-frequency generating circuit and a comparative-frequency generating circuit has multiple inverters that are arranged in series in a ring shape. A sampling unit acquires an output signal from the respective inverters in each sampling cycle. A transition-stage calculating unit calculates the number of transition stages that is the number of inverters in which a value of an output signal has changed during the sampling cycle of each ring oscillator based on the output signal of each sampling cycle acquired by the sampling unit. A voltage detecting unit performs voltage detection based on the number of transition stages acquired by the transition-stage calculating unit.

Abstract: An image classification method comprises: extracting a logic program from a CNN, trained to classify features in images, which is a symbolic approximation of outputs of kernels at an extraction layer of the CNN; deriving kernel-based classification rules; forward-propagating pairs of feature-labeled images through the logic program to obtain kernel activations at the extraction layer for features in the images, where the scene in one of the pair contains a particular feature and the other is of the same scene without the feature; and calculating the correlation between each kernel in the logic program and each feature in the feature-labeled images using the kernel activations and the features associated with the feature-labeled images, assigning to each kernel in the logic program the label of the feature with which the kernel has the highest correlation, and applying the assigned kernel labels to the kernels in the rules to obtain kernel-labeled rules.

Abstract: In an embodiment, a statistical analysis tool is applied on a first set of datapoints related to a first variable associated with a dataset. Based on the application of the statistical analysis tool, statistical information related to the first variable is determined. A set of patterns associated with the first set of datapoints is determined, based on the determined statistical information. Thereafter, a first set of predefined templates associated with the determined set of patterns is determined. Further, a natural language model is applied on the retrieved first set of predefined templates and on the determined statistical information. A first textual explanation of the determined set of patterns is determined, based on the application of the natural language model on the retrieved first set of predefined templates and on the determined statistical information. Further, the determined first textual explanation is rendered on a display device.

Abstract: According to an aspect of an embodiment, operations include receiving, as an output of a code generation tool, a file that includes a computer-executable code and a non-executable description. The operations further include modifying blocks of the computer-executable code into modular code blocks and determining a set of trigger conditions from the modified computer-executable code and the non-executable description. The operations further include matching the set of trigger conditions with template conditions in a set of revision rules and determining, based on the match, a set of changes applicable to portions of the modified computer-executable code and the non-executable description. The operations further include updating the modified computer-executable code and the non-executable description based on the set of changes and generating a tutorial-style code file that includes the updated computer-executable code and the updated non-executable description.

Abstract: A computer-readable recording medium stores a display control program for causing a computer to execute a display control process. The display control process includes: acquiring a list of articles made public on a communication network based on a keyword input by a first user; acquiring user information on a plurality of users sympathetic to each of the acquired articles; and determining an article to be preferentially displayed from the list of the articles based on the acquired user information and information on the number of sympathetic evaluations made by third users in the plurality of users, the third users defined as users excluded from trusted user information that contains each second user trusted by the first user in the plurality of users.

Abstract: A non-transitory computer-readable storage medium storing an information processing program that causes at least one computer to execute a process, the process includes acquiring video data that has target objects that include a person and an object; specifying each relationship of each of the target objects in the acquired video data by using graph data that indicates a relationship of each of target object stored in a storage unit; specifying a behavior of the person in the acquired video data by using a feature of the person; and predicting a future behavior of the person or a state of the person by comparing the specified behavior of the person and the specified relationship with a behavior prediction rule, the behavior prediction rule being a rule associated with a future behavior of a person for each combination of a behavior of the person and a relationship.

Abstract: According to an aspect of an embodiment, operations for recommending version updates for software packages are provided. The operations may include receiving an input which indicates a usage of a first version of a first software package inside a source code of a software and determining a second version of the first software package. The operations may further include selecting one or more constraints from a set of constraints and executing a set of checks based on the selected constraints to determine a suitability of the second version as an update for the first version. The set of constraints may include a security constraint, a backward compatibility constraint, an interoperability constraint, and a performance constraint. The operations may further include controlling an electronic device to render user-assistive information that includes a recommendation to update the first version to the second version.

Abstract: A non-transitory computer-readable recording medium having stored therein an information processing program that causes a computer to perform a process including; managing a first memory and a second memory as a single integrated memory, predicting, when a second calculation resource executes a target process, a first predicted end time for a first method in which the process is allocated beyond the capacity of the second memory and a second predicted end time for a second method in which the process is allocated with a delay so as not to exceed that capacity, and to execute the target process using whichever of the first or second method provides higher processing performance based on the predicted end times.

Abstract: A control unit obtains a first feature from a person region of an input image by performing a predetermined feature calculation and a second feature from a processed person region by performing the predetermined feature calculation, the processed person region being obtained by processing a part of the person region of the input image. The control unit determines an image processing region in the person region and an image processing characteristic for the image processing region so that the amount of change between the first and second features is equal to or less than a predetermined value. The control unit generates, by machine learning, an image processing model that processes a received input image based on the determined image processing region and image processing characteristic, and generates a processed image obtained by processing a part of a person region of a captured image using the image processing model.

Abstract: In an information processing program, a processing unit generates a corrected first image by correcting, based on a biometric image in which a predetermined body part is imaged, the posture of the body part in the biometric image. The processing unit generates a feature image by extracting a feature pattern indicating a feature of the shape of the body part from the corrected first image. The processing unit generates a corrected second image by correcting, based on the feature image, the posture of the feature pattern in the feature image. The processing unit calculates authentication data for biometric authentication based on the corrected second image.

Abstract: An information processing apparatus creates qubit pairs, each being formed by combining first and second qubits. A first qubit corresponds to a first orbital on which an electron is present in an initial arrangement. A second qubit corresponds to a second orbital on which no electron is present in the initial arrangement. The apparatus generates a quantum circuit that applies two-qubit gates to at least some of the qubit pairs. Each two-qubit gate generates, based on the value of a parameter, a superposition state of a first state in which the states of the first and second qubits are not switched and a second state in which these states are switched. The apparatus acquires an energy expectation value in the ground state of the molecule by causing a quantum computer to iteratively execute the quantum circuit.

Abstract: A determination method includes acquiring a plurality of images which are captured at different times by a camera; and determining, when each of the plurality of images includes a first image region of a face of a person and a second image region which is located outside the first image region and has a shape which satisfies a predetermined condition, whether the face of the person is a display object based on a state of change in a positional relationship between the first image region and the second image region between the plurality of images.

Abstract: The present disclosure relates to a method, device and storage medium for improving multi-object tracking. According to an embodiment, the method comprises: performing a split operation on a tracklet provided for one object by a multi-object tracking model. The split operation comprises: determining an appearance feature sequence of the tracklet; determining a clustering label set of the appearance feature sequence; determining an image block label sequence; determining a fragment label sequence corresponding to continuous fragments, having the same clustering labels, in the image block label sequence; in a case where a length of the fragment label sequence is greater than the number of types of the clustering labels in the clustering label set, updating the image block label sequence and the fragment label sequence by performing an update operation; and splitting the tracklet based on the updated image block label sequence. The method may further comprise a merge operation.

Abstract: A method may include determining a number of vehicles depicted in one or more images of at least a portion of a transportation network. The method may include determining, from the one or more images, respective lengths of segments in the transportation network corresponding to individual vehicles of the vehicles depicted in the one or more images. The method may also include determining an observed traffic density and an observed network flow corresponding to the transportation network based on the number of vehicles and the respective lengths of segments. The method may include determining a traffic density estimation and a network flow estimation, using a traffic simulator. The method may additionally include adjusting the traffic simulator based on the observed traffic density, the traffic density estimation, the observed network flow, and the network flow estimation.

Abstract: A light receiving element includes a light receiving layer that includes a superlattice of an InAs layer and a GaSb layer, and an amorphous layer that covers a side wall surface of the light receiving layer. The amorphous layer contains In and As, and an amount of Ga and an amount of Sb contained in the amorphous layer are smaller than an amount of In and an amount of As contained in the amorphous layer.

Abstract: An optimization device includes a processor configured to generate a first DFG corresponding to a first loop and a second DFG corresponding to a second loop for a program in which an incomplete nested loop in which a first arithmetic operation result for each loop of the first loop is sequentially used in an arithmetic operation for each loop of the second loop of a second layer included in the first loop of a first layer is present, and arrange a first data transfer node between an output portion of the first arithmetic operation result in the first DFG and an input portion of the first arithmetic operation result in the second DFG, connect the first DFG and the second DFG by the first data transfer node, and generate a third DFG of the program.

Abstract: A control apparatus includes a digital processing circuit and a digital-to-analog converter (DAC). The digital processing circuit generates a first control command group including a plurality of first control commands for controlling a plurality of first qubits, and a second control command group including a plurality of second control commands for controlling a plurality of second qubits, each of the second control commands having the same frequency as that of a corresponding one of the first control commands. In addition, the digital processing circuit performs frequency-multiplexing on third and fourth control command groups of different frequency bands by adding offsets to the first and second control command groups, to generate a digital multiplexed signal. The DAC performs digital-to-analog conversion on the digital multiplexed signal, to generate an analog multiplexed signal.