Abstract: A system and method are provided and include a blind spot monitoring system with a blind spot sensor that monitors a focus area within a blind spot detection area of a subject vehicle and that generates an alert when a secondary vehicle is detected within the focus area of the blind spot detection area. A controller receives data corresponding to an amount of traffic at a location of the subject vehicle, determines the level of traffic at the location of the subject vehicle based on the data, and reduces the focus area when the level of traffic is greater than a predetermined threshold.

Abstract: A system and method are provided and include a rotatable blind spot sensor that monitors a blind spot detection area of a subject vehicle. The rotatable blind spot sensor generates first object data while positioned at a first angle and second object data while positioned at a second angle. A controller receives the first object data and the second object data and determines whether the object is a secondary vehicle located within a blind spot detection area of the subject vehicle. A driver alert system generates an alert in response to the controller determining that the object is the secondary vehicle located within the blind spot detection area of the subject vehicle.

Abstract: A system and method are provided and include a rotatable blind spot sensor that monitors a blind spot detection area of a subject vehicle. The rotatable blind spot sensor generates first object data while positioned at a first angle and second object data while positioned at a second angle. A controller receives the first object data and the second object data and determines whether the object is a secondary vehicle located within a blind spot detection area of the subject vehicle. A driver alert system generates an alert in response to the controller determining that the object is the secondary vehicle located within the blind spot detection area of the subject vehicle.

Abstract: A system and method are provided and include a blind spot monitoring system with a blind spot sensor that monitors a blind spot alert area of a subject vehicle and generates an alert when a secondary vehicle is detected within the blind spot alert area of the subject vehicle. A controller receives at least one of traffic sign data and GPS data, determines whether a current lane of the subject vehicle is merging or is going to merge with a second lane, and expands the blind spot alert area in response to determining that the current lane of the subject vehicle is merging or is going to merge with the second lane.

Abstract: An image quality is improved although a medical stereomicroscope optical system and a medical observation apparatus are small and light. An objective optical system and a plurality of imaging optical systems are arranged in an order from an object side to an image side, and the imaging optical system has at least a single aspheric surface. Accordingly, a spherical aberration and a field curvature are improved, and the image quality is improved although the medical stereomicroscope optical system and a medical observation apparatus are small and light.

Abstract: A system and method are provided and include a blind spot monitoring system with a blind spot sensor that monitors a focus area within a blind spot detection area of a subject vehicle and that generates an alert when a secondary vehicle is detected within the focus area of the blind spot detection area. A controller receives data corresponding to an amount of traffic at a location of the subject vehicle, determines the level of traffic at the location of the subject vehicle based on the data, and reduces the focus area when the level of traffic is greater than a predetermined threshold.

Abstract: A system and method are provided and include a blind spot monitoring system including a blind spot sensor that monitors a blind spot alert area of a subject vehicle and that generates an alert when a secondary vehicle is detected within the blind spot alert area of the subject vehicle. An object detection system detects an adjacent vehicle traveling in an adjacent lane to the subject vehicle. A controller determines whether the subject vehicle has passed the adjacent vehicle and that expands the blind spot alert area in response to determining that the subject vehicle has passed the adjacent vehicle.

Abstract: Provided is a norovirus deactivator, including a lysozyme component that includes at least one kind selected from lysozyme and/or a salt thereof, and a denatured product thereof.

Abstract: A signal processor includes: a first adaptive filter that takes a first signal as input and generates a first pseudo signal; a first subtractor that subtracts the first pseudo signal from a second signal to supply a first differential signal as output; a second adaptive filter that takes the first signal as input to generate a second pseudo signal; a second subtractor that subtracts the second pseudo signal from the second signal to supply a second differential signal as output; a first step size control circuit that generates a first step size used in updating the first adaptive filter in accordance with the relation between the second pseudo signal and the second differential signal; and a second step size control circuit that generates a second step size used in updating the second adaptive filter in accordance with the relation between the first signal and the second signal.

Abstract: To achieve an unnecessary signal identifying device that can accurately identify an unnecessary signal from a reception signal. Correlators 321-32n correlation process the reception signal and a replica code at every predetermined timing, and output correlation data. Each of Buffers 331-33n stores a predetermined sampling number of the correlation data along a code phase axis, and output them to FFT processors 341-34n and a identifier 35. Each of the FFT processors 341-34n FFT processes the predetermined sampling number of the correlation data to acquire a frequency spectrum, and output it to the identifier 35. From a correlation data series on the code phase axis and the frequency spectrum, the identifier 35 acquires a property of the correlation data for a two-dimensional range of the code phase axis and a frequency axis, and identifies the signal with the property coinciding matching with characteristics of the unnecessary signal as the unnecessary signal.

Abstract: To achieve an unnecessary signal identifying device that can accurately identify an unnecessary signal from a reception signal. Correlators 321-32n correlation process the reception signal and a replica code at every predetermined timing, and output correlation data. Each of Buffers 331-33n stores a predetermined sampling number of the correlation data along a code phase axis, and output them to FFT processors 341-34n and a identifier 35. Each of the FFT processors 341-34n FFT processes the predetermined sampling number of the correlation data to acquire a frequency spectrum, and output it to the identifier 35. From a correlation data series on the code phase axis and the frequency spectrum, the identifier 35 acquires a property of the correlation data for a two-dimensional range of the code phase axis and a frequency axis, and identifies the signal with the property coinciding matching with characteristics of the unnecessary signal as the unnecessary signal.

Abstract: A noise cancelling device for detecting divergence of a coefficient of an adaptive filter without setting a threshold value in advance based on characteristics of a device from which noise is to be cancelled or an environment. The noise cancelling device includes: a divergence coefficient unit for obtaining a filter divergence coefficient from a filter coefficient of a section not including a filter coefficient at a basic tap position decided by the distance between a reference input unit and an audio input unit; a divergence threshold value calculation unit for obtaining a filter divergence threshold value from a filter coefficient of a section including the filter coefficient at the basic tap position; and a divergence detection unit for comparing the filter divergence coefficient to the filter divergence threshold value so as to detect the divergence condition of the adaptive filter.

Abstract: A signal processor includes: a first adaptive filter that takes a first signal as input and generates a first pseudo signal; a first subtractor that subtracts the first pseudo signal from a second signal to supply a first differential signal as output; a second adaptive filter that takes the first signal as input to generate a second pseudo signal; a second subtractor that subtracts the second pseudo signal from the second signal to supply a second differential signal as output; a first step size control circuit that generates a first step size used in updating the first adaptive filter in accordance with the relation between the second pseudo signal and the second differential signal; and a second step size control circuit that generates a second step size used in updating the second adaptive filter in accordance with the relation between the first signal and the second signal.

Abstract: [Problems] To detecting divergence of a coefficient of an adaptive filter without setting a threshold value in advance based on characteristics of a device from which a noise is to be cancelled or an environment. [Means for Solving Problems] A noise cancelling device includes: a divergence coefficient unit 6 for obtaining a filter divergence coefficient from a filter coefficient of a section not including a filter coefficient at a basic tap position decided by the distance between a reference input unit 2 and an audio input unit 1; a divergence threshold value calculation unit 7 for obtaining a filter divergence threshold value from a filter coefficient of a section including the filter coefficient at the basic tap position; and a divergence detection unit 8 for comparing the filter divergence coefficient to the filter divergence threshold value so as to detect the divergence condition of the adaptive filter.

Abstract: A signal processor includes: a first adaptive filter that takes a first signal as input and generates a first pseudo signal; a first subtractor that subtracts the first pseudo signal from a second signal to supply a first differential signal as output; a second adaptive filter that takes the first signal as input to generate a second pseudo signal; a second subtractor that subtracts the second pseudo signal from the second signal to supply a second differential signal as output; a first step size control circuit that generates a first step size used in updating the first adaptive filter in accordance with the relation between the second pseudo signal and the second differential signal; and a second step size control circuit that generates a second step size used in updating the second adaptive filter in accordance with the relation between the first signal and the second signal.

Abstract: An information delivery system and its method and a program of the system, in which plural robots are used and users can obtain information effectively via the plural robots from the wider range than the range where only one robot moves, are provided. Each of the plural robots provides an information delivering means to users and an information exchanging means with an information server. The plural robots and the information server connect to a network. The robot obtains information to be delivered to an identified person from the information storing in the information server. And the robot delivers the obtained information to the identified person.

Abstract: A robot includes first and second microphones and movable portions. The first microphone gathers a first sound reception signal by gathering mainly a target signal. The second microphone gathers a second reception sound signal by gathering mainly noise other than the target signal. The movable portions operate on the basis of the first sound reception signal output from the first microphone and the second sound reception signal output from the second microphone.

Abstract: A facial image identifying apparatus checks a facial image of a user captured by an image capturing unit such as a camera or the like against facial images of registered users for thereby identifying the user. When the facial image identifying apparatus starts to detect a facial image of an examinee user, it determines whether a situation of the image captured by the image capturing unit is appropriate to detect the facial image. If the situation is judged as being inappropriate, then information representing that the situation is inappropriate is presented to the examinee user. Based on the presented information, the examinee user can make an action to improve the situation of the captured image.

Abstract: A facial image identifying apparatus checks a facial image of a user captured by an image capturing unit such as a camera or the like against facial images of registered users for thereby identifying the user. When the facial image identifying apparatus starts to detect a facial image of an examinee user, it determines whether a situation of the image captured by the image capturing unit is appropriate to detect the facial image. If the situation is judged as being inappropriate, then information representing that the situation is inappropriate is presented to the examinee user. Based on the presented information, the examinee user can make an action to improve the situation of the captured image.

Abstract: A facial image identifying apparatus checks a facial image of a user captured by an image capturing unit such as a camera or the like against facial images of registered users for thereby identifying the user. When the facial image identifying apparatus starts to detect a facial image of an examinee user, it determines whether a situation of the image captured by the image capturing unit is appropriate to detect the facial image. If the situation is judged as being inappropriate, then information representing that the situation is inappropriate is presented to the examinee user. Based on the presented information, the examinee user can make an action to improve the situation of the captured image.