Abstract: An image processing method of holding a plurality of texture data for applying a metal representation on an image. The method includes acquiring predetermined information concerning at least one of an observation distance as a distance between a print product on which a target region is printed and an observer observing the print product, a sheet on which the target region is printed, or an environment in which the print product is observed, selecting texture data from the plurality of texture data based on the acquired predetermined information, and applying, to the target region, the texture data selected in the selecting.

Abstract: Efficiency of operation related to acquisition of a tilt offset of a surveying apparatus is improved. A total station includes a tilt sensor, a tilt offset acquisition unit that acquires a tilt offset of the tilt sensor, a measurement unit that measures a variable value of a phenomenon that can cause the tilt offset to vary, and a determination unit that determines whether to acquire the tilt offset, based on output from the measurement unit.

Abstract: A system for detecting a presence of a person in a hoistway, having: one or more controllers configured to authenticate the person in the hoistway; the one or more controllers being operationally connected to an elevator car in the hoistway and configured to determine whether the person is within a predetermined distance of the elevator car from a signal emitter on the person; wherein when the person is within the predetermined distance of the elevator car, the one or more controllers is configured to transmit a feedback request to the person and stop the elevator car unless the one or more controllers receives feedback to the feedback request within a predetermined period of time.

Abstract: A three-dimensional measuring apparatus includes a projection unit that projects a pattern onto a subject, a plurality of image capturing units that capture images of the subject from mutually different points of view, and a processing unit that calculates a distance value to the subject by performing association using image groups captured of the subject by the plurality of image capturing units, wherein the processing unit integrates information based on a first image group that was captured by projecting the pattern onto the subject, and information based on a second image group that was captured without projecting the pattern onto the subject, into integrated images or evaluation values to be used during the association such that features of the images from both the first image group and the second image group remain, and calculates the distance value using the integrated images that have been integrated or the evaluation values.

Abstract: An improved rotary type carburetor for a stratified scavenging engine designed to enable the easy adjustment of air and fuel flow at the time of initial configuration is disclosed. The improved rotary carburetor includes an air intake passage and an air-fuel mixture passage formed in a horizontal direction on a carburetor main body. The throttle valve of the improved rotary carburetor can be fitted into a cylindrical-throttle-valve hole formed orthogonal to a fuel and an air passage of the carburetor main body. The throttle valve has the air supply side valve hole formed on the air intake passage side and a fuel supply side valve hole formed on the air-fuel mixture passage side.

Abstract: A semiconductor device includes a semiconductor chip hazing a non-overlapping region in which a source pad for main transistor and a clip do not overlap with each other. At this time, a sense transistor is arranged in a region of the non-overlapping region, which is located between a first portion of the clip and a first short side of the source pad for main transistor in a plan view.

Abstract: Reliability of a semiconductor device is improved. The semiconductor device includes a clip which is electrically connected to a main-transistor source pad via a first silver paste and is connected to a lead via a second silver paste. The clip has a “first part” with which the first silver paste is in contact, a “second part” with which the second silver paste is in contact, and a “third part” positioned between the “first part” and the “second part”. A protruding member is formed on a surface of the main-transistor source pad, and the “first part” is in contact with the protruding member.

Abstract: An improved rotary type carburetor for a stratified scavenging engine designed to enable the easy adjustment of air and fuel flow at the time of initial configuration is disclosed. The improved rotary carburetor includes an air intake passage and an air-fuel mixture passage formed in a horizontal direction on a carburetor main body. The throttle valve of the improved rotary carburetor can be fitted into a cylindrical-throttle-valve hole formed orthogonal to a fuel and an air passage of the carburetor main body. The throttle valve has the air supply side valve hole formed on the air intake passage side and a fuel supply side valve hole formed on the air-fuel mixture passage side.

Abstract: In a database, product image data is accumulated. A search portion acquires product image data having the image characteristics information that is the same as or similar to the image characteristics information that indicates the characteristics of the image of input image data from the database for the input image data. A search server outputs information on another product that is different from the product corresponding to the product image data together with the product image data acquired by the search portion.

Abstract: A computerized model compatibility regulation method for imaging applications first performs a target domain B application by computing means using at least one image X and target domain B image analytics to generate a target domain B application output for X. The method then applies a reference domain A application by computing means to generate reference domain A application output for X. The method further performs a compatibility assessment to generate at least one compatibility result for X. In addition, the method checks the compatibility result for X and if the check output is incompatible, the method performs online correction to generate a corrected application output for X.

Abstract: A computerized prediction guided learning method for classification of sequential data performs a prediction learning and a prediction guided learning by a computer program of a computerized machine learning tool. The prediction learning uses an input data sequence to generate an initial classifier. The prediction guided learning may be a semantic learning, an update learning, or an update and semantic learning. The prediction guided semantic learning uses the input data sequence, the initial classifier and semantic label data to generate an output classifier and a semantic classification. The prediction guided update learning uses the input data sequence, the initial classifier and label data to generate an output classifier and a data classification. The prediction guided update and semantic learning uses the input data sequence, the initial classifier and semantic and label data to generate an output classifier, a semantic classification and a data classification.

Abstract: A computerized method of deep model matching for image transformation includes inputting pilot data and pre-trained deep model library into computer memories; performing a model matching scoring using the pilot data and the pre-trained deep model library to generate model matching score; and performing a model matching decision using the model matching score to generate a model matching decision output. Additional pilot data may be used to perform the model matching scoring and the model matching decision iteratively to obtain improved model matching decision output. Alternatively, the pre-trained deep model library may be pre-trained deep adversarial model library in the method.

Abstract: A received beam amount acquisition section 60 acquires a received beam amount per unit time of a beam receiver 52 at certain sampling time intervals. A beam shielding detection section 66 detects presence or absence of beam shielding of a monitoring beam B by determining whether or not the acquired received beam amount per unit time of the beam receiver is lower than a determination threshold Th for detecting the presence of beam shielding of the monitoring beam B. A detection sensitivity of the beam shielding detection section 66 is configured to be switched from a normal sensitivity mode to a high sensitivity mode when bending is initial processing based on a predetermined processing program, and an acquired height position of the beam receiver 52 is lower than a predetermined second height position LP2.

Abstract: A computerized domain matching image conversion method for transportable imaging applications first performs a target domain A to source domain B matching converter training by computing means using domain B training images and at least one domain A image to generate an A to B domain matching converter. The method then applies the A to B domain matching converter to a domain A application image to generate its domain B matched application image. The method further applies a domain B imaging application analytics to the domain B matched application image to generate an imaging application output for the domain A application image.

Abstract: A computerized model compatibility regulation method for imaging applications first performs a target domain B application by computing means using at least one image X and target domain B image analytics to generate a target domain B application output for X. The method then applies a reference domain A application by computing means to generate reference domain A application output for X. The method further performs a compatibility assessment to generate at least one compatibility result for X. In addition, the method checks the compatibility result for X and if the check output is incompatible, the method performs online correction to generate a corrected application output for X.

Abstract: A computerized method of artifact regulation in deep model training for image transformation first performs one cycle of deep model training by computing means using a training data, a validation data, a similarity loss function, an artifact regulation loss function and a weight of loss functions to generate similarity loss and artifact regulation loss and a deep model. The method then performs a training evaluation using the similarity loss and the artifact regulation loss thus obtained to generate a training readiness output. Then, depending upon the training readiness output, the method may be terminated if certain termination criteria are met, or may perform another cycle of deep model training and training evaluation, with or without updating the weight, until the termination criteria are met. Alternatively, the deep model training in the method may be a deep adversarial model training or a bi-directional deep adversarial training.

Abstract: An improved rotary type carburetor for a stratified scavenging engine designed to enable the easy adjustment of air and fuel flow at the time of initial configuration is disclosed. The improved rotary carburetor includes an air intake passage and an air-fuel mixture passage formed in a horizontal direction on a carburetor main body. The throttle valve of the improved rotary carburetor can be fitted into a cylindrical-throttle-valve hole formed orthogonal to a fuel and an air passage of the carburetor main body. The throttle valve has the air supply side valve hole formed on the air intake passage side and a fuel supply side valve hole formed on the air-fuel mixture passage side.

Abstract: A computerized domain matching image conversion method for transportable imaging applications first performs a target domain A to source domain B matching converter training by computing means using domain B training images and at least one domain A image to generate an A to B domain matching converter. The method then applies the A to B domain matching converter to a domain A application image to generate its domain B matched application image. The method further applies a domain B imaging application analytics to the domain B matched application image to generate an imaging application output for the domain A application image.

Abstract: In a database, product image data is accumulated. A search portion acquires product image data having the image characteristics information that is the same as or similar to the image characteristics information that indicates the characteristics of the image of input image data from the database for the input image data. A search server outputs information on another product that is different from the product corresponding to the product image data together with the product image data acquired by the search portion.

Abstract: Four computerized machine learning methods for deep semantic segmentation are fast machine learning method, active machine learning method, optimal machine learning method, and optimal transfer learning method. The fast machine learning method performs a fast deep semantic segmentation learning on training images to generate a deep model. The active machine learning method performs a fast deep semantic segmentation learning on initial training images to generate a first deep model and then an active deep semantic segmentation learning to generate a second deep model. The optimal machine learning method performs a fast deep semantic segmentation learning on initial training images to generate a first deep model and then an optimal deep semantic segmentation learning to generate a second deep model. The optimal transfer learning method applies a pre-trained first deep model on transfer training images and then an optimal deep semantic segmentation transfer learning to generate a second deep model.