Abstract: A low-cost, small-size Wilkinson-type combiner that suppresses the risk of damaging an isolation resistor due to combination loss is provided. The combiner comprises first and second input terminals to which RF signals are input; an output terminal; a wiring line that combines the RF signals input to the first and second input terminals, and outputs the combined signal to the output terminal; an isolation unit provided between the first and second input terminals and formed by a first isolation resistor, a transformer, and a second isolation resistor connected in series; a detection circuit connected to a secondary coil of the transformer and configured to detect a current flowing in the secondary coil; and a determination circuit that outputs a control signal to block input of RF signals to the first and second input terminals if the current flowing in the isolation unit and detected by the detection circuit is higher than or equal to a prescribed value.

Abstract: The cloud server holds the main database for storing all the registration data that is handled in the present system, and the edge server that is arranged close to the sensor holds a sub-database for storing part of the registration data. The sub-database in the edge server stores only the registration data having a high probability of being verified in the edge server. In the case where the edge server verifies the detection data that has been acquired by the sensor with the registration data within the sub-database and determines that the registration data that matches the detection data does not exist within the sub-database, the configuration allows the detection data to be transmitted to the cloud server and requests the detection data to be verified with the registration data within the main database.

Abstract: The invention performs a processing for improving an image quality of a camera in a state where a sufficient link rate cannot be ensured. A controlling method for a camera includes an imaging sensor configured to acquire an imaging data, a signal processing unit configured to perform an image processing on the imaging data, a buffer into which data subjected to the image processing is written, and a format conversion unit configured to convert a format of data read from the buffer and transmit the data to a transmission path, wherein the controlling method includes a status prediction step of predicting a status of the buffer based on a readout rate of the imaging sensor and a link rate of the transmission path and generating a status prediction information, and an adjustment step of adjusting a content of the image processing according to the status prediction information.

Abstract: A radio frequency (RF) generator device for supplying RF powers of different frequencies to multiple antennas disposed in a chamber is provided. The RF generator device includes a plurality of RF generators configured to supply the RF powers of the different frequencies to the multiple antennas, and a plurality of RF controllers configured to control the RF generators, respectively. Each of the RF controllers includes a fast Fourier transformer, and a filter. The fast Fourier transformer performs fast Fourier transform on a signal introduced as a reflected wave to decompose the signal into frequency components, and the filter removes waves having frequency components that are not outputted from the corresponding RF generator.

Abstract: A system configuration suitable for carrying out video recognition by machine learning in a video system including an imaging device and a video processing device is provided. One aspect of the video system according to the present invention includes an imaging device and a video processing device. The imaging device includes an imaging unit configured to generate video data by imaging, a front side NN unit including multiple layers of neural networks from an input layer to a predetermined intermediate hidden layer (hereinafter referred to as “intermediate hidden layer”) that are configured to perform recognition processing of the video data; and an imaging side control unit configured to transmit an output of the intermediate hidden layer of the front side NN unit (hereinafter referred to as “intermediate feature quantity”).

Abstract: An antenna control device includes a weight unit in which weight values to be superimposed on transmission/reception signals are set for forming radiation patterns using a plurality of antennas and a weight synthesis unit that superposes the weight values on the transmission/reception signals. The antenna control device further includes an arrival direction detector that detects arrival directions of the reception signals, a distribution information calculator that calculates distribution information of the detected arrival directions, a signal quality calculator that calculates signal quality information of each of the radiation patterns, and a radiation pattern selector that selects a radiation pattern on the basis of the distribution information and signal quality information for the radiation patterns, and sets the weight values corresponding to the selected radiation pattern in the weight unit.

Abstract: A software-defined radio equipment includes a hardware/module, implements radio equipment functions by downloading radio communication software that controls the hardware/module from an external source, and switches the radio communication software by using a distributed object. The software-defined radio equipment includes a first means that transmits, when a hardware to be used by the radio communication software is selected from the hardware/module, first predetermined information of the selected hardware, a second means that interrupts an execution of the radio communication software before selection when the selection is reselection and transmits second predetermined information of a selected hardware after the reselection, and a third means that transmits predetermined information of a hardware that is currently being selected. Further, if the selected hardware is the hardware that is currently being selected, an error is detected.

Abstract: An image analysis system and update method for a machine-learning model are to update a model in operation 111 to a retrained model 121, wherein in an image analysis server 1 which analyzes shot images, a first inference unit 11 performs inference using the trained model in operation 111, a relearning unit 14 performs relearning to generate a retrained model, a second inference unit 12 performs inference using a retrained model 121, and a comparison unit 15 compares the execution results of the first inference unit 11 and the second inference unit 12 to determine whether or not to update the model in operation 111 to the retrained model 121.

Abstract: The RF generator is provided with a first RF power source and a second RF power source that generate RF waves of different frequencies from each other, and respectively supply RF power to a first antenna and a second antenna that are installed in a plasma reactor.

Abstract: A skeleton detection system stores a target image for use in skeleton detection, and a plurality of skeleton detection models respectively corresponding to a plurality of skeleton definition models for defining different skeletons. The skeleton detection system determines a predetermined condition for the skeleton detection of the target image, selects a first skeleton detection model from the plurality of skeleton detection models based on a result of the determination, and executes the skeleton detection of the target image by the first skeleton detection model.

Abstract: This software wireless device comprises framework software that installs wireless communication software; and interface service software that is provided so as to be directly managed by an OS, and that manages a user interface service and the framework software. The framework software has user interface software, domain management software, hardware management software, and hardware control software. The interface service software issues a running status monitoring request to the user interface software and the domain management software, and determines that there is an abnormality if there is no response from the user interface software or the domain management software.

Abstract: An image capturing device in the present embodiment has a configuration that is provided with an image splitting unit 21 and an edge extracting unit 22 that acquire the edge component for each block image that has been divided from an image captured by an image sensor 10, a resolution controlling unit 23 that writes each block image into a frame memory 30 with a resolution in accordance with the amount of its edge component, an image enlarging unit 24 that reads out at least one block image that corresponds to a selected region from the frame memory 30 and enlarges the block image with a magnification in accordance with the size of the selected region, and an enlarged output unit 45 that outputs the enlarged block image that corresponds to the selected region that is supplied from the image enlarging unit 24.

Abstract: The present invention provides a technique of reducing colored afterimages. To solve this problem, an image capturing system includes the following structure: A color separation optical system disperses subject light into a plurality of wavelength ranges, and forms images of a plurality of color components. A plurality of image capturing elements capture the respective images of the plurality of color components, and generate the respective color components of a video signal. A color-specific exposure setting unit sets respective exposure periods for the plurality of color components. An exposure control unit performs exposure control ? of approximately simultaneously exposure-controlling each of the plurality of image capturing elements to obtain a video signal (hereafter referred to as a reference video signal) in a common period shorter than or equal to a shortest period of the respective exposure periods set for the color components.

Abstract: A public key of a sensor node key pair is transmitted from a sensor node 22 to a server 20 via sensor network communication, and furthermore is transmitted from the server 20 to a mobile terminal 25 via mobile line communication. In addition, a public key of a mobile terminal key pair is transmitted from the mobile terminal 25 to the sensor node 22 through local communication. Thus, the configuration allows the sensor node 22 and the mobile terminal 25 to generate a common key by combining their own private key and the public key of the counterpart in order to encrypt the local communication by using this common key.

Abstract: An unmanned mobile vehicle M acquires the line quality of a wireless communication line to each of the corresponding base stations having been measured by each mobile station and transmits the line quality to a control station 30. The control station 30 acquires the line quality of a wireless communication line to each of the corresponding mobile stations having been measured by each base station and transmits the line quality to the unmanned mobile vehicle M. When the same communication data is transmitted using two or more wireless communication lines in combination between the control station 30 and the unmanned mobile vehicle M, the transmitting side of the communication data selects two or more wireless communication lines that are used for the transmission of the communication data, on the basis of the line quality of each wireless communication line having been measured by each base station or each mobile station on the receiving side of the communication data.

Abstract: Described herein is a technique capable of improving the uniformity of the film formation among the substrates. According to the technique described herein, there is provided a configuration including: a reaction tube having a process chamber where a plurality of substrates are processed; a buffer chamber protruding outward from the reaction tube and configured to supply a process gas to the process chamber, the buffer chamber including: a first nozzle chamber where a first nozzle is provided; and a second nozzle chamber where a second nozzle is provided; an opening portion provided at a lower end of an inner wall of the reaction tube facing the buffer chamber; and a shielding portion provided at a communicating portion of the opening portion between the second nozzle chamber and the process chamber.

Abstract: An unmanned mobile vehicle M acquires the line quality of a wireless communication line to each of the corresponding base stations having been measured by each mobile station and transmits the line quality to a control station 30. The control station 30 acquires the line quality of a wireless communication line to each of the corresponding mobile stations having been measured by each base station and transmits the line quality to the unmanned mobile vehicle M.

Abstract: Even if an existing learning dataset is limited, a new learning dataset with sufficient variation is generated. Therefore, for each of a plurality of learning data subsets, new input signals are generated from input signals of a plurality of pieces of learning data, and a plurality of pieces of new learning data that are respectively combinations of the new input signals and output signals of the corresponding learning data subset are generated. The input signals of the plurality of pieces of the learning data included in the corresponding learning data subset are divided into a first signal group and a second signal group, and the new input signals are generated by a learning device that is generated by performing learning by the first signal group set as an input signal set and the second signal group set as an output signal set.

Abstract: Described herein is a technique capable of improving the uniformity of the film formation among the substrates. According to the technique described herein, there is provided a configuration including: a reaction tube having a process chamber where a plurality of substrates are processed; a buffer chamber protruding outward from the reaction tube and configured to supply a process gas to the process chamber, the buffer chamber including: a first nozzle chamber where a first nozzle is provided; and a second nozzle chamber where a second nozzle is provided; an opening portion provided at a lower end of an inner wall of the reaction tube facing the buffer chamber; and a shielding portion provided at a communicating portion of the opening portion between the second nozzle chamber and the process chamber.

Abstract: A machine learning model fraud detection system and fraud detection method wherein a license/model management apparatus: generates a test data-trained model by inputting a pre-trained model and test data associated therewith from a licensor apparatus, carrying out learning using the test data on the pre-trained model; stores the test data-trained model in association with the output values obtained when the test data is executed in the test data-trained model; inputs the associated test data into a user model, executes the model when the user model is inputted from a user apparatus using the test data-trained model; compares the output data from the user model with the stored output values from the test data-trained model and detects the fraud if the resulting error is outside tolerance limits.