Abstract: Smoke detection based on video images includes performing background image modeling on a current image, to acquire a foreground image and a background image of the current image; acquiring one or more candidate areas in the current image used for detecting a moving object, based on the foreground image; calculating attribute information of a candidate area corresponding to the current image and/or the background image; and determining whether there exists smoke in the candidate area according to the attribute information. The smoke can be detected quickly and accurately through video images, but also the detection accuracy of video-based smoke detection when light changes and at complex environments can be provided.

Abstract: A wireless base station that includes: a transmitter that employs a plurality of antenna elements to form a beam in each of a plurality of transmission directions and transmit a reference signal; a receiver that receives a value representing reception quality of the reference signal for a user device that has received the reference signal; a memory; and a processor connected to the memory, the processor being configured to employ an indicator value, representing reception quality for a user device group computed from values received by the receiver that represent reception quality for each of a plurality of user devices, in order to select a combination of beams to employ in user data transmission from the plurality of beams transmitted by the transmitter.

Abstract: A non-transitory computer-readable storage medium storing a program that causes a computer to execute a process including storing a first and second received data into a first storage device, the first received data having been received prior to the second received data, generating a first and second processed data corresponding to the first and second received data, the second processed data being to be transmitted after a transmission of the first processed data, storing the second processed data into a second storage device when a rollback relating to the first received data is detected in a specified period, the specified period being a period after the second processed data has been generated and before the second processed data is transmitted, and transmitting the second processed data after the rollback, the second processed data being not regenerated by retrieving the stored second processed data from the second storage device.

Abstract: A resource orchestration framework may include vertices representing physical network nodes and a resource orchestrator. The resource orchestrator may receive a service function chain request specifying service functions to perform on respective physical nodes and a first starting time for launching a first one of the service functions. The resource orchestrator may determine an ending time for performing the first service function that, with the first starting time, defines a time duration for the first service function, identify vertices at which the first service function is available during the time duration, map a first vertex to the first service function in a candidate service function chain, determine a second starting time for launching a second one of the service functions dependent on the first starting time, and provide the candidate service function chain, the first starting time, and the second starting time to a neighbor vertex of the first vertex.

Abstract: An exhaust purification apparatus includes a microwave irradiation device; a fine particle collection filter that collects fine particles contained in an exhaust gas; and a controller. The microwave irradiation device includes: an annular microwave transmission line; a first microwave generator; a second microwave generator; and a microwave measurement circuit coupled at least one of to the annular microwave transmission line, between the annular microwave transmission line and the first microwave generator, or between the annular microwave transmission line and the second microwave generator.

Abstract: An information processing apparatus includes a power supply, a fan that causes air to flow into the power supply, and a power distributor that is disposed in front of or in back of the power supply in a direction of flow of the air due to the fan and that is electrically coupled to the power supply, wherein a vent through which the air passes is formed in a surface of the power distributor that faces the power supply.

Abstract: An information processing apparatus includes a memory and a processor. The memory is configured to store a parent template including a plurality of designation conditions applicable to at least one virtual machine. The plurality of designation conditions include first designation conditions and second designation conditions. The processor is configured to create a child template for creating a virtual machine image to operate on a virtual machine. The child template is based on the parent template and includes at least one designation condition. The processor is configured to compare the at least one designation condition of the child template to the plurality of designation conditions stored in the memory. The processor is configured to display a result of the comparison.

Abstract: A method performed by a computer for image analyzation includes: receiving, by a processor of the computer, an image captured by an imaging device; specifying, by the processor of the computer, first and second areas in the image; detecting, by the processor of the computer, a target object from the image in accordance with a certain pattern indicating a range of color saturation in an analysis of a color of the target object; and extending, by the processor of the computer, the range of color saturation in processing of the detecting the target object, when luminance of the first area in the image is lower than a first threshold and luminance of the second area in the image is equal to or higher than a second threshold.

Abstract: A comparator circuit outputs a comparison result obtained by comparing a data signal with a threshold whose magnitude is adjusted based on a first offset value at a timing synchronized with a second clock signal whose phase is adjusted based on a difference in phase between the data signal and a first clock signal and a second offset value. An eye monitor circuit thins comparison results obtained in a clock data recovery (CDR) circuit for individual symbols of the data signal by comparing the data signal with a threshold, selects a comparison result corresponding to a symbol for which the comparison result is obtained by the comparator circuit, determines, by comparing the selected comparison result with the comparison result obtained by the comparator circuit, whether or not an error has occurred due to the first or second offset value, and outputs the number of times the error has occurred.

Abstract: A semiconductor structure includes first, second, and third transistor elements each having a first screening region concurrently formed therein. A second screening region is formed in the second and third transistor elements such that there is at least one characteristic of the screening region in the second transistor element that is different than the second screening region in the third transistor element. Different characteristics include doping concentration and depth of implant.

Abstract: A method performed by a computer, the method includes obtaining a plurality of images each of which includes a plurality of animals, the plurality of animals being attached with a plurality of attachment objects respectively, the attachment objects having respective different colors, using at least one image among the plurality of images, detecting the colors of the plurality of attachment objects respectively, using the plurality of images, detecting movements of the plurality of respective attachment objects, based on the colors of the plurality of attachment objects, and in accordance with the respective movements of the plurality of attachment objects, determining respective activity quantities of the plurality of animals.

Abstract: A resource orchestration framework may include vertices representing physical network nodes and a resource orchestrator. The resource orchestrator may obtain a service function chain specifying, for multiple service functions, mappings of the service functions to respective physical nodes along a specified forwarding path, and a first starting time at which to instantiate resources for a first service function in the chain on the first mapped physical node. The resource orchestrator may instantiate the resources for the first service function on the first mapped physical node at the first starting time, prior to arrival of a first packet in a packet flow for the service function chain at the first mapped physical node and, subsequently, instantiate resources for a second service function in the chain on the second mapped physical node at a second starting time, prior to arrival of the first packet at the second mapped physical node.

Abstract: An image processing apparatus and an image processing method where the apparatus includes: a seam line acquisitor configured to acquire a seam line of a first image in images to be stitched; a segmenter configured to segment, in an extension direction of the seam line of the first image, a center region including the seam line in the first image into blocks, where an intersection point of a block boundary with the seam line of the first image is located in a strong gradient region; a matcher configured to perform keypoint matching based on the intersection point to find a coordinate point corresponding to the intersection point in a position region corresponding to the seam line in a second image in the images to be stitched; and a fuser configured to fuse the first image with the second image based on the intersection point and the coordinate point.

Abstract: Technologies are described to adjust a learning rate of Q-learning being used to control traffic signals at an intersection. In some examples, a method may include generating control actions for traffic signals at an intersection based on Q-learning, determining a frequency of change in traffic pattern of the intersection, and adjusting a learning rate of the Q-learning based on the determined frequency of change in traffic pattern of the intersection. The Q-learning may determine the generated control actions based on at least a portion of historical traffic data of the intersection, and the change in traffic pattern may be a change from a first traffic pattern of the intersection to a second traffic pattern of the intersection.

Abstract: This microchannel heat exchanger includes: a heat exchanger body including a channel layer stack formed in such a manner that a plurality of high-temperature channel layers provided with a channel for a high-temperature fluid and a plurality of low-temperature channels layers provided with a channel for a low-temperature fluid are alternately stacked, an inlet and an outlet for the high-temperature fluid, and an inlet and an outlet for the low-temperature fluid; and a control board that is fixed in a stacking direction of the heat exchanger body, and that at least installs a plurality of temperature sensors that are inserted in the stacking method of the heat exchanger body in such a manner that a sensing point is arranged near each of the inlet and the outlet for the high-temperature fluid and the inlet and the outlet for the low-temperature fluid.

Abstract: An image capturing device includes an imaging device, a board on which the imaging device is mounted, an optical unit that forms an image of a target object onto the imaging device, and mounting units that is used to mount the optical unit on the board. The mounting units include a first mounting unit and a second mounting unit and the board includes an attachment portion having a smooth surface. The first mounting unit is attached to the attachment portion by mechanical joining and the second mounting unit is bonded to the first mounting unit while the optical unit is attached to the second mounting unit.

Abstract: A method includes extracting a plurality of feature points from a first image and a second image of an image-capture target, acquiring, from the second image, for each of the plurality of feature points in the first image, a set of points having a correlation with the feature point, identifying, for each of the plurality of feature points in the second image, a position of a center of gravity of the set of points, and determining an amount of movement of the image-capture target by performing weighting processing, the weighting processing being performed on each of amounts of displacements and a number of points in the set of points acquired for each of the plurality of feature points, each of the amounts of displacements being a displacement from a position of each of the plurality of feature points in the first image to the position of the center of gravity.

Abstract: A key generation device includes a generation circuit, a concealment processing unit, and a cryptography processing unit. The generation circuit generates a value dependent on hardware. When acquiring a concealed cryptographic key, the concealment processing unit generates first data by performing a mask process to the concealed cryptographic key by using the value generated by the generation circuit, generates second data by decoding the first data by a first error correction decoding method, and generates a cryptographic key by decoding the second data by a second error correction decoding method. When acquiring the concealed cryptographic key and a plain text or an encrypted text, the cryptography processing unit acquires the cryptographic key corresponding to the concealed cryptographic key from the concealment processing unit, and encrypts the plain text or decrypts the encrypted text by using the cryptographic key.

Abstract: A confused state determination device that includes: an audio receiver that receives input of call audio; a memory; and a processor that is connected to the memory and that is configured to detect a questioning utterance in a call-hold duration of the call audio, compute a frequency of the questioning utterance detected in the call-hold duration, and determine a user to be in a confused state in a case in which the computed questioning utterance frequency is a first threshold value or greater.

Abstract: A pulse wave analysis apparatus including a memory, and a processor coupled to the memory and the processor configured to execute a process, the process including extracting, from each of a plurality of captured images of a subject, a plurality of image areas corresponding to each of a plurality of parts of the subject respectively, generating pieces of waveform data corresponding to the plurality of parts based on an image analysis for the plurality of image areas, each of the pieces of waveform data indicating a pulse wave of the subject, calculating a first matching degree between the pieces of waveform data, and determining whether a noise is included in the pieces of waveform data based on the first matching degree.