Abstract: Systems and methods for performing the dynamic anomaly localization of utility pole aerial/suspended/supported wires/cables by distributed fiber optic sensing. In sharp contrast to the prior art, our inventive systems and methods according to aspects of the present disclosure advantageously identify a “location region” on a utility pole supporting an affected wire/cable, thereby permitting the identification and reporting of service personnel that are uniquely responsible for responding to such anomalous condition(s).

Abstract: This image retrieval system comprises: a storage means for storing a plurality of registered images capturing a plurality of objects to be registered; an acquisition means for acquiring a retrieval image including a region of interest; an extraction means for extracting a feature amount from a region, in the retrieval image, other than the region of interest; a retrieval means for retrieving, from the plurality of registered images stored in the storage means, a registered image having a feature amount that matches the feature amount extracted by the extraction means; and an output means for outputting, in a manner that makes it possible to recognize a region corresponding to the region of interest in the retrieval image, all or a portion of the registered image retrieved by the retrieval means.

Abstract: A reinforcement learning based approach to the problem of query object localization, where an agent is trained to localize objects of interest specified by a small exemplary set. We learn a transferable reward signal formulated using the exemplary set by ordinal metric learning. It enables test-time policy adaptation to new environments where the reward signals are not readily available, and thus outperforms fine-tuning approaches that are limited to annotated images. In addition, the transferable reward allows repurposing of the trained agent for new tasks, such as annotation refinement, or selective localization from multiple common objects across a set of images.

Abstract: The size estimation device 5 is provided with an estimation unit 51 and a calculation unit 52. The estimation unit 51 estimates, on the basis of a learning model which learns the feature of a first underwater creature body that faces one direction in an image captured in the water, a first feature point that indicates one end in a one direction side of a second underwater creature body that faces a one direction included in an image captured outside and a second feature point that indicates the other end. The calculation unit 52 calculates information indicating the size of the second underwater creature body on the basis of information including the first feature point and the second feature point.

Abstract: In order to more easily perform communication control suitable for a communication environment in a communication network, a system according to an aspect of the present disclosure includes: an obtaining means for obtaining state information related to a state of a communication network; and a selecting means for selecting one of a plurality of machine learning based controllers for controlling communication in the communication network, based on the state information.

Abstract: A learning apparatus (500) according to the present invention includes a detection unit (510) that detects, as a candidate region of a learning target, a region detected by one of first detection processing of detecting an object region from a predetermined image and second detection processing of detecting a change region from background image information and the image, and not detected by the other, an output unit (520) that outputs at least a part of the candidate region as a labeling target, and a learning unit (530) that learns a model for performing the first detection processing or a model for performing the second detection processing by using the labeled candidate region as learning data.

Abstract: An advertisement distribution guarantee apparatus 10, includes; a viewing certificate generation unit 11 that causes a viewer terminal to generate a viewing certificate for a viewed advertisement content on condition that the advertisement content is viewed on the viewer terminal; a viewing certificate recording unit 12 that makes the generated viewing certificate visible to the advertiser of the advertisement content and causes the viewer terminal to record the generated viewing certificate in a blockchain database.

Abstract: [Problem] To provide a motion condition estimation device, a motion condition estimation method and a motion condition estimation program capable of accurately estimating the motion condition of monitored subjects even in a crowded environment. [Solution] A motion condition estimation device according to the present invention is provided with a quantity estimating means and a motion condition estimating means. The quantity estimating means uses a plurality of chronologically consecutive images to estimate a quantity of monitored subjects for each local region in each image. The motion condition estimating means estimates the motion condition of the monitored subjects from chronological changes in the quantities estimated in each local region.

Abstract: A learning support apparatus 1 includes a feature pattern extraction unit 2 configured to extract a pattern of feature amounts that differentiates samples classified based on residuals using the classified samples and feature amounts used for learning a predictive model; and an error contribution calculation unit 3 configured to calculate an error contribution to a prediction error in the pattern of feature amounts using the extracted pattern of feature amounts and the residuals.

Abstract: The present disclosure provides an information processing apparatus, a reading system, an information processing method, and a program that are capable of appropriately managing the carrying-in or the carrying-out of an article. An information processing apparatus (1) includes a flow line specification unit (2) that specifies a flow line of a movement of an object in a predetermined first area of a gate on an entrance side of the gate, and a reading control unit (3) that performs control so that reading processing of an RFID tag near the gate is started when the specified flow line corresponds to a predetermined pattern.

Abstract: In order to efficiently moves, a moving body which moves in response to a rotary motion of a caster, a movement control apparatus 100 includes: an obtaining section 111 configured to obtain information related to a state of a moving body 200 which moves in response to a rotary motion of a caster 210 having a swivel wheel 211 with an eccentric structure; a direction determination section 120 configured to determine a wheel advancing direction of the caster 210 based on the state information related to the state of the moving body 200; and a control section 130 configured to control for causing the moving body 200 to accelerate in a second advancing direction different from a first advancing direction which is based on a target moving path for the moving body 200, depending on the result of the determination.

Abstract: In a secret computation system, each of the three or more secret computation servers is configured to transmit, to the auxiliary server, carry computation information for computing a carry indicating whether or not digit carry occurs when a share of arithmetic operation is added as a binary number. The auxiliary server is configured to compute the carry based on the carry computation information received and compute an adjustment value used for computing the share of the arithmetic operation from a share of logical operation by using the computed carry. The auxiliary server distributes the computed adjustment value to the three or more secret computation servers. Each of the three or more secret computation servers is configured to convert the share of the logical operation to the share of the arithmetic operation by using a distributed value of the adjustment value.

Abstract: A data compression apparatus includes: a compression unit that performs a compression process on output data that is sequentially outputted as time series data by a monitoring apparatus for monitoring a monitoring target range; an output unit that outputs the output data on which the compression process is performed, to a data processing apparatus that performs an object detection process for detecting an object that exists in the monitoring target range by using the output data; and a setting unit that sets a compression ratio used in the compression unit, on the basis of an accuracy information indicating a relationship between a compression ratio at which the output data is compressed and a detection accuracy of the object by the object detection process performed by using the output data compressed at the compression ratio.

Abstract: A direction of arrival estimation apparatus includes at least first and second sub-arrays to receive a reflected wave of a transmission waveform from a target; first and second phasing parts that perform phasing of reception signals at the first and second sub-arrays to generate first and second sub-array beams; an arrival time difference calculation part that calculates first and second correlations of the reception signals of the first and second sub-array beams at first and second time points to find an arrival time difference between times of the reflected wave arriving at the first and second sub-arrays, based on a result of a predetermined operation on the first and second correlations and a time difference between the first time point and the second time point; and a direction of arrival calculation part that finds a direction of arrival of the target based on the arrival time difference.

Abstract: Disclosed is an electrode, comprising: a metal foil; an electrode layer formed on at least one surface of the metal foil; and an insulating layer formed on the electrode layer; wherein boundary portion between the insulating layer and the electrode layer is in a state in which a part of the insulating layer engages into a part of the electrode layer, and Ls/L is 1.25 or more, wherein a reference length of a straight line in a direction in which the metal foil extends is taken as L and a boundary length along boundary between the insulating layer and the electrode layer is taken as Ls.

Abstract: The present invention provides a new system that allows an easier operation of a moving object. The present invention provides a moving object operation system including: a moving object; and an operation signal transmitter. The moving object includes a signal receipt unit that receives an operation signal. The transmitter includes: an auxiliary tool; a storage unit that contains conversion information; a movement information acquisition unit that acquires auxiliary tool movement information; a conversion unit that converts the acquired movement information into the operation signal based on the conversion information; and a signal transmission unit that transmits the operation signal. The conversion information includes auxiliary tool movement information and operation signal information for instructing the moving object in how to move, and those are associated with each other.

Abstract: An image matching device that performs matching between a first image and a second image includes: a frequency characteristic acquisition unit configured to acquire a frequency characteristic of the first image and a frequency characteristic of the second image; a frequency characteristic synthesizing unit configured to synthesize the frequency characteristic of the first image and the frequency characteristic of the second image to generate a synthesized frequency characteristic; a determination unit configured to perform frequency transformation on the synthesized frequency characteristic to calculate a correlation coefficient map whose resolution coincides with a target resolution, and perform matching between the first image and the second image based on a matching score calculated from the correlation coefficient map; and a regulation unit configured to regulate the target resolution based on the matching score.

Abstract: A computer-implemented method of instantiating a machine learning model with a host processing system is provided. The host processing system includes a trusted execution environment (TEE) and an untrusted processing system (UPS). The method includes: preparing, with the host processing system, a compiler encoding an architecture of the machine learning model; receiving, from a client processing system, source data; and producing, with the compiler, software based on the received source data and model parameters stored on the host processing system. The software includes an untrusted software component for performance on the UPS and a trusted software component for performance on the TEE. The untrusted software component and the trusted software component are configured to, when performed in concert, instantiate the machine learning model.

Abstract: Aspects of the present disclosure describe systems, methods and structures providing wide-area traffic monitoring based on distributed fiber-optic sensing (DFOS) that employs deep neural network(s) for denoising noisy waterfall traces measured by the DFOS. Such systems, methods, and structures according to aspects of the present disclosure may advantageously monitor multiple highways/roadways using a single interrogator and optical fiber switch(es) which provides traffic information along every sensing point of existing, deployed, in-service optical telecommunications facilities.

Abstract: The conventional image surveillance technologies relevant to the present invention had the potential of failing in detect ion due to the intrusion duration time being set too long and thereby allowing an intruder to pass a warning line before the preset intrusion duration had elapsed. The intrusion detection device according to the present invention is provided with: a detect ion means that detects, in an image, an intrusion position in a specific region by an object that has intruded into the specific region; and a control means that associates the intrusion position with a prescribed time period, wherein the detection means outputs an alert when the object, in the image, has stayed in the specific region for the prescribed time period or longer.