Abstract: An object of the present invention is to provide a compound having an anti-inflammatory activity or a pharmacologically acceptable salt thereof. The solution of the present invention is a compound of general formula (1) or a pharmacologically acceptable salt thereof. wherein the symbols in the formula are defined below: R1: e.g., a C1-C6 alkyl group; R2: a C1-C6 alkyl group; A: e.g., an oxygen atom; and R3: e.g., a C1-C6 alkyl group.

Abstract: According to one embodiment, a signal processing apparatus includes a memory and a processor electrically coupled to the memory. The processor separates a plurality of signals by a separation filter, and outputs a plurality of separate signals. The plurality of signals includes signals which are received at different positions and come from different directions. The processor estimates incoming directions of the plurality of separate signals, respectively, and associates the plurality of separate signals with transmission sources of the signals, and present association between the plurality of separate signals and the transmission sources of the signals.

Abstract: A signal processing system includes a filter unit, a conversion unit, a decomposition unit, and an estimation unit. The filter unit applies, to a plurality of time series input signals, N filters estimated by independent component analysis of the input signals to output N output signals. The conversion unit converts the output signals into nonnegative signals each taking on a nonnegative value. The decomposition unit decomposes the nonnegative signals into a spatial basis that includes nonnegative three-dimensional elements, that is, K first elements, N second elements, and I third elements, a spectral basis matrix of I rows and L columns that includes L nonnegative spectral basis vectors expressed by I-dimensional column vectors, and a nonnegative L-dimensional activity vector. The estimation unit estimates sound source signals representing signals of the signal sources based on the output signals using the spatial basis, the spectral basis matrix, and the activity vector.

Abstract: According to one embodiment, a signal processing apparatus includes a processer. The processor separates a plurality of signals, which are received at different positions and come from different directions, by a separation filter. The processor estimates incoming directions of a plurality of separate signals respectively, and associates the plurality of separate signals with transmission sources of the plurality of signals. The processor associates either one of a first attribute and a second attribute with the separate signals which are associated with the transmission sources of the signals based on results of the estimation of the incoming directions in a first period, and add either one of first label information and second label information.

Abstract: According to one embodiment, a signal processing system senses and receives generated signals of a plurality of signal sources, estimates a separation filter based on the received signals of the sensor for each frame, separates the received signals based on the filter to obtain separated signals, computes a directional characteristics distribution for each of the separated signals, obtains a cumulative distribution indicating the directional characteristics distribution for each of the separated signals output in a previous frame, computes a similarity of the cumulative distribution to the directional characteristics distribution of the separated signals of a current frame, and connects to a signal selected from the separated signals based on the similarity.

Abstract: An object of the present invention is to provide a compound having an anti-inflammatory activity or a pharmacologically acceptable salt thereof. The solution of the present invention is a compound of general formula (1) or a pharmacologically acceptable salt thereof. wherein the symbols in the formula are defined below: R1: e.g., a C1-C6 alkyl group; R2: a C1-C6 alkyl group; A: e.g., an oxygen atom; and R3: e.g., a C1-C6 alkyl group.

Abstract: According to one embodiment, a microphone cooperation device includes a first device including a first microphone and a first speaker, and a second device including a second microphone and a second speaker. The first device and the second device are capable of a first action of joining a group of devices when the second microphone receives a first sound wave emitted from the first speaker.

Abstract: An acoustic processing apparatus includes a storage, an estimation unit, and a removal unit. The storage stores therein a reference signal indicating a signal obtained by completing removal of reverberation from a first observation signal included in a first processing section. The estimation unit estimates, on the basis of a model representing an observation signal as a signal obtained by adding a signal obtained by applying a reverberation removal filter to an acoustic signal that is input with a delay and the acoustic signal, a filter coefficient of the reverberation removal filter by using a second observation signal and the reference signal. The removal unit determines an output signal indicating a signal obtained by removing reverberation from the second observation signal by using the second observation signal, the reference signal, and the reverberation removal filter having the estimated filter coefficient.

Abstract: According to one embodiment, a signal processing system senses and receives generated signals of a plurality of signal sources, estimates a separation filter based on the received signals of the sensor for each frame, separates the received signals based on the filter to obtain separated signals, computes a directional characteristics distribution for each of the separated signals, obtains a cumulative distribution indicating the directional characteristics distribution for each of the separated signals output in a previous frame, computes a similarity of the cumulative distribution to the directional characteristics distribution of the separated signals of a current frame, and connects to a signal selected from the separated signals based on the similarity.

Abstract: According to one embodiment, a signal processing apparatus includes a processer. The processor separates a plurality of signals, which are received at different positions and come from different directions, by a separation filter. The processor estimates incoming directions of a plurality of separate signals respectively, and associates the plurality of separate signals with transmission sources of the plurality of signals. The processor associates either one of a first attribute and a second attribute with the separate signals which are associated with the transmission sources of the signals based on results of the estimation of the incoming directions in a first period, and add either one of first label information and second label information.

Abstract: According to one embodiment, a signal processing apparatus includes a memory and a processes electrically coupled to the memory. The processor separates a plurality of signals by a separation filter, and outputs a plurality of separate signals. The plurality of signals includes signals which are received at different positions and come from different directions. The processor estimates incoming directions of the plurality of separate signals, respectively, and associates the plurality of separate signals with transmission sources of the signals, and present association between the plurality of separate signals and the transmission sources of the signals.

Abstract: An acoustic processing apparatus includes a storage, an estimation unit, and a removal unit. The storage stores therein a reference signal indicating a signal obtained by completing removal of reverberation from a first observation signal included in a first processing section. The estimation unit estimates, on the basis of a model representing an observation signal as a signal obtained by adding a signal obtained by applying a reverberation removal filter to an acoustic signal that is input with a delay and the acoustic signal, a filter coefficient of the reverberation removal filter by using a second observation signal and the reference signal. The removal unit determines an output signal indicating a signal obtained by removing reverberation from the second observation signal by using the second observation signal, the reference signal, and the reverberation removal filter having the estimated filter coefficient.

Abstract: A signal processing system includes a filter unit, a conversion unit, a decomposition unit, and an estimation unit. The filter unit applies, to a plurality of time series input signals, N filters estimated by independent component analysis of the input signals to output N output signals. The conversion unit converts the output signals into nonnegative signals each taking on a nonnegative value. The decomposition unit decomposes the nonnegative signals into a spatial basis that includes nonnegative three-dimensional elements, that is, K first elements, N second elements, and I third elements, a spectral basis matrix of I rows and L columns that includes L nonnegative spectral basis vectors expressed by I-dimensional column vectors, and a nonnegative L-dimensional activity vector. The estimation unit estimates sound source signals representing signals of the signal sources based on the output signals using the spatial basis, the spectral basis matrix, and the activity vector.

Abstract: According to an embodiment, a signal processing device includes a calculating unit and a generating unit. The calculating unit calculates, for each of a plurality of separation signals obtained through blind source separation, a degree of belonging indicating a degree that the separation signal belongs to a cluster that is set. The generating unit synthesizes the plurality of separation signals each weighted by a weight that increases as the degree of belonging increases, so as to generate a synthetic signal corresponding to the cluster.

Abstract: A cold work tool material has an annealed structure including carbides, and a composition including, in mass %, C: 0.80% to 2.40%, Cr: 5.0% to 15.0%, Mo and W contained alone or in combination in an amount of (Mo+½W): 0.50% to 3.00%, and V: 0.10 to 1.50%, and adjusted such that the material has a martensitic structure by quenching. The material includes a cross sectional region of an annealed structure and a length of 90 ?m and a width of 90 ?m and including no carbides having a circle equivalent diameter exceeding 5.0 ?m. In the cross sectional region, a proportion of a number of carbides B having a circle equivalent diameter of more than 0.1 ?m and not more than 0.4 ?m to a number of carbides A having a circle equivalent diameter of exceeds 0.1 ?m and not more than 2.0 ?m is greater than 80.0%.

Abstract: A cold work tool material has an annealed structure including carbides, and a composition including, in mass %, C: 0.80% to 2.40%, Cr: 5.0% to 15.0%, Mo and W contained alone or in combination in an amount of (Mo+½W): 0.50% to 3.00%, and V: 0.10 to 1.50%, and adjusted such that the material has a martensitic structure by quenching. The material includes a cross sectional region of an annealed structure and a length of 90 ?m and a width of 90 ?m and including no carbides having a circle equivalent diameter exceeding 5.0 ?m. In the cross sectional region, a proportion of a number of carbides B having a circle equivalent diameter of more than 0.1 ?m and not more than 0.4 ?m to a number of carbides A having a circle equivalent diameter of exceeds 0.1 ?m and not more than 2.0 ?m is greater than 80.0%.

Abstract: According to one embodiment, an information processing apparatus includes a detector, a calculator and a generator. The detector detects a segment in which a keyword is included, based on at least one of input acoustic signals input from M (an integer equal to or greater than two) voice input units. The calculator calculates an M×M spatial feature matrix including acoustic characteristics of a space including a first sound source of interest and a second sound source other than the first sound source, and acoustic characteristics based on positional relation between the voice input units and one or more of the first sound source and the second sound source, based on the input acoustic signals and the segment. The generator generates a spatial filter for obtaining an acoustic signal from the input acoustic signals, based on the spatial feature matrix, the acoustic signal being output from the first sound source.

Abstract: Provided is a bi-fuel engine including a pressure supply passage extending from a crankcase chamber, and branching into a first branch passage and a second branch passage at a branching portion, a gas fuel valve provided in the gas fuel supply passage and connected to the first branch passage so that the gas fuel supply passage may be opened when pressure is supplied to the gas fuel supply passage, and may be closed when pressure is not supplied to the gas fuel supply passage, a liquid fuel pump provided in the liquid fuel supply passage and configured to feed the liquid fuel under pressure to the intake system by a pulsating pressure supplied via the second branch passage, and a switch valve provided in the branching portion to switch between the first and second branch passages for conducting pressure supplied from the pressure source via the pressure supply passage.

Abstract: According to an embodiment, a signal processing device includes a background calculator, a signal generator, an extractor, a similarity calculator, and a mixer. The background calculator is configured to calculate a first background signal in which a speech signal is removed, based on the acoustic signals. The signal generator is configured to generate a reference signal from at least one of the acoustic signals. The extractor is configured to extract a second background signal by removing a speech signal from the reference signal. The similarity calculator is configured to calculate a similarity between feature data of the background signals. The mixer is configured to calculate a weighted sum of the background signals in such a way that a greater weight is given to the first background signal as the similarity is higher and a greater weight is given to the second background signal as the similarity is lower.

Abstract: According to an embodiment, a signal processing apparatus includes an estimation unit and an updating unit. The estimation unit is configured to estimate an auxiliary variable of a target section including first and second sections of input signals by using an approximating auxiliary function for approximating an auxiliary function having an auxiliary variable as an argument. The auxiliary function is determined according to an objective function that outputs a function value that is smaller as a statistical independence of separated signals into which input signals in time-series are separated by a demixing matrix is higher. The estimation unit is configured to estimate a value of the auxiliary variable of the target section based on the estimated auxiliary variable. The updating unit is configured to update the demixing matrix such that a function value of the approximating auxiliary function is minimized.