Abstract: An optical device includes an electro-optic crystal layer, a first optical waveguide formed in the electro-optic crystal layer, and an electrode that applies an electric signal to the first optical waveguide. Further, the optical device includes a second optical waveguide in an amorphous state formed in the electro-optic crystal layer and connected to the first optical waveguide.

Abstract: Provided is a rotary compressor excellent in energy saving performance and reliability by improving sliding performance of a sliding portion and ensuring sealability in a working chamber. An oil groove is formed at a position facing a vane end face on an end plate. The oil groove communicates with an inside of a sealed container, and is exposed in a gap between a leading end surface of a vane and an outer peripheral surface of an annular piston formed when the leading end surface of the vane is in abutment on the outer peripheral surface of the annular piston.

Abstract: Provided is a rotary compressor excellent in energy saving performance and reliability that can suppress over-compression of a compressed refrigerant compressed in a compression chamber. A rotary compressor includes a discharge port provided on an end plate and partially located outside a cylinder inner wall and a discharge groove provided on the cylinder inner wall and communicating with a compression chamber and the discharge port, the compression chamber compressing a refrigerant by contracting as an annular piston revolves, in which the discharge port faces an end portion of a vane groove on the cylinder inner wall on the compression chamber side.

Abstract: Data transmitting/receiving apparatuses and methods and a communication system. The data transmitting method includes: in an inactive state, determining whether to maintain in the inactive state or enter an active state according to indication information of a network device or one or more parameters configured by the network device; and in the inactive state, transmitting data and/or a request message for entering the active state to the network device. Hence, data transmission may be performed in an appropriate state, without needing to restart connection at each time of data transmission; saved resources may be used for the data transmission, and time needed in performing identical data transmission may be reduced.

Abstract: A medium storing a program including: classifying vectors of first sentences in a file into each similar vector; generating an inverted index associating a vector of each first sentence with a position of the first sentence on the file; identifying a feature sentence from a second sentences included in a second sentences; specifying similar vectors being vectors similar to a vector of the feature sentence based on the inverted index; specifying, for each similar vector, first transition data indicating transition of vectors at positions before and after the similar vector based on the inverted index; and specifying, from pieces of first transition data obtained by performing the specifying of the first transition data on the similar vectors, transition data similar to second transition data indicating transition of vectors of sentences before and after the feature sentence, to output the transition data as a response of the search query.

Abstract: A processor configured to store prediction information that is obtained from a call instruction that is fetched in a RAS fetch, acquire the prediction information that is used in a return instruction from the RAS fetch, delete the prediction information, store the prediction information in a RAS complete after completion of execution of the call instruction, and delete the prediction information from the RAS complete after completion of execution of the return instruction, and specify a first entry that is the closest to a top of the queue among the entries in which the branch instruction on which the branch prediction error is detected is re-executed, store and delete the prediction information in and from the RAS fetch according to the call instruction and the return instruction that are stored in entries closer to the top than the first entry is, and cause the first entry to be re-executes.

Abstract: A semiconductor device with an antenna includes a heat sink having first and second surfaces, a semiconductor chip provided on the second surface and having a circuit surface, a wiring board having a laminate of alternately disposed insulating layers and interconnect layers, and covering side surfaces of the heat sink and the semiconductor chip and the circuit surface, and exposing the first surface, and an antenna provided on the wiring board. The wiring board includes a board connecting part provided on an opposite side from the antenna, a first interconnect electrically connecting the board connecting part and a first terminal provided on the circuit surface, and a second interconnect electrically connecting the antenna and a second terminal provided on the circuit surface.

Abstract: A storage medium storing an information processing program that causes a computer to execute processing that includes specifying a first order of a rank in data that is descending order of an output of a machine learning model, the output being an impact of the data on a certain event; specifying a second order by interchanging the rank of first data that includes a first value of a binary parameter and second data that includes a second value among the data in the first order, the first data being opposite to the second data of a positive example or negative example for the output, a difference of a value of function after interchanging being less than a value of function before interchanging; acquiring a parameter weighted based on the second order; and training the machine learning model by using a loss function including the parameters.

Abstract: An information processing apparatus calculates, based on result data indicative of a result value for a first demand quantity which arises for a first period, a first profit obtained by optimizing an operation quantity according to the result value, calculates a first prediction value for the first demand quantity by using a trained prediction model, determines, based on a comparison between the first profit and a second profit obtained by optimizing the operation quantity according to a second prediction value obtained by correcting the first prediction value with a correction model, the correction model, and calculates a third prediction value for a second demand quantity which arises for a second period different from the first period by using the prediction model and the correction model and outputs plan data indicative of the operation quantity optimized according to the third prediction value.

Abstract: A recording medium stores a machine learning program causing a computer to execute a processing of: generating a first parameter relating to a first pruning process that generates a first machine learning model to classify a first class in classes by executing the first pruning process on a machine learning model which classifies into the classes based on a parameter of the machine learning model and training data including the first class which serves a correct answer label; and generating a second parameter relating to a second pruning process that generates a second machine learning model to classify a second class in the classes by executing the second pruning process on the machine learning model based on the parameter of the machine learning model, training data including the second class which serves the correct answer label and a loss function including the first parameter relating to the first pruning process.

Abstract: In an example, a method may include obtaining anomaly characteristics associated with an anomaly in a transmission medium in an optical transmission system. The anomaly may cause a degradation in one or more signal characteristics of an optical signal traversing the transmission medium. Based on the anomaly characteristics, the method may also include adjusting a first output power of a first optical amplifier that may be disposed at an input end of the transmission medium. Alternatively, or additionally, based on the anomaly characteristics, the method may also include adjusting a second output power of a second optical amplifier that may be disposed at an output end of the transmission medium.

Abstract: A non-transitory computer-readable recording medium have stored therein a training data generation program causes a computer to execute a process including, identifying, a first plurality of pieces of training data having label of first value and a first attributes of second value respectively, a second plurality of pieces of training data having the label of the first value and the first attribute of a third values respectively, and a third plurality of pieces of training data having the label of a fourth value and the first attribute of the second value respectively, selecting first training data from among the second or the third plurality of pieces of the training data based on a specific probability, and generating third training data having the label of the first value and the first attribute of the second value based on the first plurality of pieces of training data and the first training data.

Abstract: In an embodiment, a set of parameters associated with a vehicle routing problem is received. A set of decision variables and a set of constraints associated with an optimization problem are received. An optimization problem is constructed. The optimization problem is divided into a set of sub-problems. Each of the set of sub-problems corresponds to a subset of warehouses of a set of warehouses. An intermediate solution is determined for each of the set of sub-problems to determine a set of routes associated with the corresponding sub-problem of the set of sub-problems. The intermediate solution associated with each of the set of sub-problems is combined to determine a final solution of the optimization problem based on the received set of constraints. The determined final solution is indicative of the set of optimal routes to be assigned to the set of vehicles. The final solution is rendered on a display device.

Abstract: A medium storing comprising instructions for: dividing a text into words; specifying an unknown word indicating a word other than a static word in a static dictionary among words in the text based on the static dictionary associating the static word with a vector; determining whether a unique word corresponding to the unknown word is included in a definition, using the definition defining a relationship between the unique word and a vector generated based on a condition that similar vectors are set for similar unique words; and when the unique word corresponding to the unknown word is included in the definition, assigning a vector corresponding to the unique word to the unknown word; and when the unique word corresponding to the unknown word is not included in the definition, assigning a vector to the unknown word using words arranged before and after the unknown word.

Abstract: An information processing program that causes a computer to execute a process including: acquiring use information that is use information for a database that includes incompatibility information that indicates a rewrite method in which source code dependent on first software is made compatible with second software and registrant information that indicates a registrant of the incompatibility information, and indicates a user of the incompatibility information and a use result of the incompatibility information; identifying a type of the use result indicated by the use information; and calculating an evaluation value to be given to at least one of the user indicated by the use information and the registrant indicated by the registrant information according to the identified type based on evaluation reference information that indicates a correspondence relationship between a plurality of types of use results and a plurality of evaluation values.

Abstract: An information processing apparatus determines a combination of a first data qubit and a second data qubit that further reduces the energy represented by an energy equation. The energy equation includes first to third energy terms. The first energy term is used to identify the first data qubit on which a Z error has occurred. The second energy term is used to identify the second data qubit on which an X error has occurred. The third energy term reduces the energy as the number of data qubits each being a third data qubit on which both a Z error and an X error have simultaneously occurred increases. The information processing apparatus determines that a Y error has occurred on the third data qubit.

Abstract: A non-transitory computer-readable recording medium stores a machine learning program causing a computer to execute a process including: calculating an average and a variance of a latent variable by inputting input data to an encoder; sampling a noise based on a normal distribution of the variance; calculating the latent variable by adding the noise to the average; calculating output data by inputting the calculated latent variable to a decoder; and training the encoder and the decoder in accordance with a loss function, the loss function including a value and an error between the input data and the output data, the value being obtained by multiplying encoding information by a correction coefficient based on the noise, the encoding information being information of a probability distribution of the latent variable and a prior distribution of the latent variable.

Abstract: In a compression unit, an upper compression unit suction tube is connected to an upper suction hole of an upper cylinder, and a lower compression unit suction tube is connected to a lower suction hole of a lower cylinder. In an accumulator shell of an accumulator vessel, an accumulator suction tube, an upper gas-liquid separation tube, and a lower gas-liquid separation tube penetrate a side wall of the accumulator shell, and are fixed by welding to a first through hole, a second through hole, and a third through hole of the accumulator shell, respectively. The upper gas-liquid separation tube is connected to the upper compression unit suction tube via an upper connecting tube outside the accumulator shell. The lower gas-liquid separation tube is connected to the lower compression unit suction tube via a lower connecting tube outside the accumulator shell.

Abstract: A non-transitory computer-readable recording medium having stored an image processing program that causes a computer to execute a process, the process includes extracting a plurality of consecutive pixels corresponding to a first part or a second part of a body, from a pixel column in a predetermined direction of an image of the body, obtaining a statistical value of pixel values of the plurality of consecutive pixels, and identifying a part corresponding to the plurality of consecutive pixels, among the first part or the second part, based on the statistical value.

Abstract: In an embodiment, a GAN model is trained based on an image dataset. A set of images of a first class is generated by the GAN model. Further, a first saliency map of a first generated image is determined by a neural network model. A second saliency map of a second image, belonging to the first class, from image dataset is determined by the neural network model. A first interpretability coefficient is determined, based on the first and second saliency maps. A first typicality score between the first generated image and a first set of images, belonging to the first class, from the image dataset, is determined. A second typicality score between a pair of generated images is determined. A second interpretability coefficient is determined basis the first and second typicality scores. An interpretability score associated with the GAN model is determined based on the first and second interpretability coefficients.