Abstract: A light emitting element of one or more embodiments includes a first electrode, a second electrode oppositely to the first electrode, and an emission layer between the first electrode and the second electrode. The light emitting element of one or more embodiments includes a polycyclic compound represented by a specific chemical structure in the emission layer, thereby showing improved emission efficiency and life characteristics.

Abstract: In the present invention, when a DC reactor is in a magnetically saturated state, the on/off operations of a switching element are suspended and the switching element is set to an off state for a predetermined period of time, thereby resetting the magnetic saturation of the DC reactor and maintaining the supply of power to a load. After resetting the magnetic saturation, the pulse output of the normal pulse mode is restarted.

Abstract: A target object is tracked based on dimensional information of an observation space including a relative velocity of the target object with respect to a sensing device for observing a reflection wave from the target object. An estimation state is acquired by estimating a state of the target object at a specific time. A reflection source of the reflection wave that gives an observation point observed at the specific time is assumed with respect to the estimation state. A state validity of the estimation state is acquired. The estimation state is updated based on the state validity expressed including a difference between dimensional information of the reflection source projected onto the observation space in the estimation state and the observation information.

Abstract: The present disclosure provides an electronic device, a control method therefor, and a control program therefor capable of preventing an operation for activating a function protected by user authentication from becoming complicated. An electronic device includes: a keyword management DB for storing identification information of a registrant and a registered keyword in association with each other; a command management DB for storing a command and required authentication scores in association with each other; a data generator for creating grammar data including a registered keyword and a command; an utterance recognizer for matching the grammar data and extracted data extracted from an utterance of a user and acquiring a recognized authentication score and a recognized command; and an authenticator for determining that the command is recognized by comparing the required authentication score associated with the command determined to be the same as the recognized command and the recognized authentication score.

Abstract: Provided is a learning device that includes an input unit configured to input training input data, training determination data for indicating a determination result with respect to the training input data, and training ground data for indicating a ground for the determination result with respect to the training input data; a determination learning unit, by performing first machine learning that learns a relationship between the training input data and the training determination data, configured to generate a determination inference model that, upon being inputted with input data, outputs inferred determination data; and a ground learning unit, by performing second machine learning that learns a relationship between the training input data and the training ground data, configured to generate a ground inference model that, upon being inputted with the input data, outputs inferred ground data.

Abstract: A food cooking system (1A) of the present invention includes: a single-serving food package (19) including food (F) and an accommodating body (10) that accommodates the food (F); a heating chamber (2); a steam supplier (3); and a microwave supplier (4); and heats and cooks the food (F) in the single-serving food package (19) with steam and microwaves. The accommodating body (10) has a wall portion that defines an accommodating space for the food (F). The wall portion includes a bottom surface portion (11) on which the food (F) is placed and a peripheral surface portion (12), and vent holes (15) for steam to pass through are formed in the wall portion. Steam at a temperature of 85 to 130° C. is supplied into the heating chamber (2) by the steam supplier (3), and microwaves with an actual output of 500 to 3000 W are supplied for 15 to 180 seconds by the microwave supplier (4) while the steam is supplied into the accommodating body (10) via the vent holes (15).

Abstract: A radar apparatus includes; a detection unit that performs a detection processing of detecting a target iteratively at a predetermined cycle; a speed deriving unit that derives a speed of the target detected in a current iteration of the detection processing; a region setting unit that sets a prediction region where the target having temporal continuity with and being identical to the target detected in the current iteration of the detection processing is expected to be detected in a next iteration of the detection processing, while changing at least one of a size and a shape of the prediction region according to the speed derived by the speed deriving unit; and a determination unit that determines whether the target detected in the next iteration of the detection processing in the prediction region set by the region setting unit has the temporal continuity with and is identical to the target detected in the current iteration of the detection processing.

Abstract: The present disclosure provides an electronic device, a control method therefor, and a control program therefor capable of preventing an operation for activating a function protected by user authentication from becoming complicated. An electronic device includes: a keyword management DB for storing identification information of a registrant and a registered keyword in association with each other; a command management DB for storing a command and required authentication scores in association with each other; a data generator for creating grammar data including a registered keyword and a command; an utterance recognizer for matching the grammar data and extracted data extracted from an utterance of a user and acquiring a recognized authentication score and a recognized command; and an authenticator for determining that the command is recognized by comparing the required authentication score associated with the command determined to be the same as the recognized command and the recognized authentication score.

Abstract: A radar apparatus includes; a detection unit that performs a detection processing of detecting a target iteratively at a predetermined cycle; a speed deriving unit that derives a speed of the target detected in a current iteration of the detection processing; a region setting unit that sets a prediction region where the target having temporal continuity with and being identical to the target detected in the current iteration of the detection processing is expected to be detected in a next iteration of the detection processing, while changing at least one of a size and a shape of the prediction region according to the speed derived by the speed deriving unit; and a determination unit that determines whether the target detected in the next iteration of the detection processing in the prediction region set by the region setting unit has the temporal continuity with and is identical to the target detected in the current iteration of the detection processing.

Abstract: A food cooking system (1A) of the present invention includes: a single-serving food package (19) including food (F) and an accommodating body (10) that accommodates the food (F); a heating chamber (2); a steam supplier (3); and a microwave supplier (4); and heats and cooks the food (F) in the single-serving food package (19) with steam and microwaves. The accommodating body (10) has a wall portion that defines an accommodating space for the food (F). The wall portion includes a bottom surface portion (11) on which the food (F) is placed and a peripheral surface portion (12), and vent holes (15) for steam to pass through are formed in the wall portion. Steam at a temperature of 85 to 130° C. is supplied into the heating chamber (2) by the steam supplier (3), and microwaves with an actual output of 500 to 3000 W are supplied for 15 to 180 seconds by the microwave supplier (4) while the steam is supplied into the accommodating body (10) via the vent holes (15).

Abstract: Provided is frozen cooked noodles capable of maintaining a favorable texture even after thawing. A method for manufacturing frozen cooked noodles, comprising: obtaining noodles produced from raw material flour comprising 5 to 80% by mass of processed tapioca starch; gelatinizing the noodles; allowing a composition comprising collagen peptides to attach to the gelatinized noodles thus obtained; and freezing the noodles attached with the composition.

Abstract: In accordance with alphabet input method information for each user, a word formed of an alphabet string is registered in a word dictionary, in a state where “dotto” being added before each alphabet and one of a set of alphabets difficult to distinguish from each other like “M and N” and “B and P” is repeated twice. For example, a word “PAM” and a feature of time series corresponding to “dotto P P doddo A dotto M” are registered in association with each other. When a user performs a speech input of “PAM”, in accordance with the user's alphabet input method information, the user utters “dotto P P dotto A dotto M”. A speech recognition is performed on this sound data using the word dictionary corresponding to the user's alphabet input method information.

Abstract: In accordance with alphabet input method information for each user, a word formed of an alphabet string is registered in a word dictionary, in a state where “dotto” being added before each alphabet and one of a set of alphabets difficult to distinguish from each other like “M and N” and “B and P” is repeated twice. For example, a word “PAM” and a feature of time series corresponding to “dotto P P doddo A dotto M” are registered in association with each other. When a user performs a speech input of “PAM”, in accordance with the user's alphabet input method information, the user utters “dotto P P dotto A dotto M”. A speech recognition is performed on this sound data using the word dictionary corresponding to the user's alphabet input method information.

Abstract: According to one embodiment, a calculating of a weight includes which is calculating a covariance matrix by applying a process (Post-Doppler process) of selecting a plurality of banks after execution of a Doppler filter process to a specified number of pulses of the received signal, and extracting a plurality of arbitrary bank parts from among the plurality of selected banks which are used for the calculation of the covariance matrix, and calculating a plurality of weights on a phase and an amplitude, from a matrix of the plurality of extracted bank parts.

Abstract: A weight coefficient generation device, a speech recognition device, a navigation system, a vehicle, a vehicle coefficient generation method, and a weight coefficient generation program are provided for the purpose of improving a speech recognition performance of place names. In order to address the above purpose, an address database 12 has address information data items including country names, city names, street names, and house numbers, and manages the address information having a tree structure indicating hierarchical relationships between the place names from wide area to a narrow area. Each of the place names stored in the address database 12 is taken as a speech recognition candidate. A weight coefficient calculation unit 11 of a weight coefficient generation device 10 calculates a weight coefficient of the likelihood of the aforementioned recognition candidate based on the number of the street names belonging to the lower hierarchy below the city names.

Abstract: According to one embodiment, a calculating of a weight includes which is calculating a covariance matrix by applying a process (Post-Doppler process) of selecting a plurality of banks after execution of a Doppler filter process to a specified number of pulses of the received signal, and extracting a plurality of arbitrary bank parts from among the plurality of selected banks which are used for the calculation of the covariance matrix, and calculating a plurality of weights on a phase and an amplitude, from a matrix of the plurality of extracted bank parts.

Abstract: A weight coefficient generation device, a speech recognition device, a navigation system, a vehicle, a vehicle coefficient generation method, and a weight coefficient generation program are provided for the purpose of improving a speech recognition performance of place names. In order to address the above purpose, an address database 12 has address information data items including country names, city names, street names, and house numbers, and manages the address information having a tree structure indicating hierarchical relationships between the place names from wide area to a narrow area. Each of the place names stored in the address database 12 is taken as a speech recognition candidate. A weight coefficient calculation unit 11 of a weight coefficient generation device 10 calculates a weight coefficient of the likelihood of the aforementioned recognition candidate based on the number of the street names belonging to the lower hierarchy below the city names.

Abstract: A speech recognition device which can preferably be used for reducing the memory capacity required for speaker-independent speech recognition is provided. A matching unit loads speech models belonging to a first speech model network and a garbage model in a RAM, and gives a speech parameter extracted by a speech parameter extraction unit to the speech model in the RAM, and when an occurrence probability output from the garbage model is equal to or greater than a predetermined value, the matching unit loads speech models belonging to any of speech model groups in the RAM based on the occurrence probability output from the speech model belonging to the first speech model network.

Abstract: Each word to be recognized is represented by gender-specific hidden Markov models that are stored in a ROM 6 along with output probability functions and preset transition probabilities. A speech recognizer 4 determines an occurrence probability of a feature parameter sequence detected by a feature value detector 3 using the hidden Markov models. The speech recognizer 4 determines the occurrence probability by giving each word a state sequence of one hidden Markov model common to the gender-specific hidden Markov models, multiplying each preset pair of an output probability function value and a transition probability together among the output probability functions and transition probabilities stored in the ROM 6, selecting the largest product as the probability of each state of the common hidden Markov model, determining the occurrence probability based on the selected product, and recognizing the input speech based on the occurrence probability thus determined.

Abstract: A speech recognition device which can preferably be used for reducing the memory capacity required for speaker independent speech recognition is provided. A matching unit 114 spreads speech models belonging to a first speech model network 300 and a garbage model 350 in a RAM 112, and gives a speech parameter extracted by a speech parameter extraction unit 106 to the speech model in the RAM 112, and when an occurrence probability output from the garbage model 350 is equal to or greater than a predetermined value, the matching unit 114 spreads speech models belonging to any of speech model groups 402 in the RAM 112 based on the occurrence probability output from the speech model belonging to the first speech model network 300.