Abstract: An audio device and method are disclosed. The audio device includes a microphone, a communication circuit, and a processor. The processor implements the method, including: establishing a communication link with an electronic device via the communication circuit, transmitting information related to the communication link to an external audio device via the communication circuit, detecting a first level of noise included in a first audio data collected via the at least one microphone, identifying a second level of noise of the external audio device, when the first level of noise satisfies a predesignated first condition, and controlling the external audio device to transmit second audio data collected by the external audio device to the electronic device, when the second level of noise of the external audio device meets a predesignated second condition different from the predesignated first condition.

Abstract: The present invention lies in the field of food ingredients and concerns a method for the production of dihydrochalcones from various educts as well as the corresponding enzymes, which are used for the production of dihydrochalcones. Furthermore, the present invention concerns transgenic microorganisms and vectors for expressing the enzymes according to the invention.

Abstract: An audio device and method are disclosed. The audio device includes a microphone, a communication circuit, and a processor.

Abstract: Embodiments of the present invention provide an audio information retrieval method and device. The method includes acquiring a spectrogram of an audio clip, extracting a local feature of at least one energy extreme point in the spectrogram to use as a local feature sequence of the audio clip, and conducting an audio information retrieval according to the local feature sequence of the audio clip to acquire audio information. Embodiments of the present invention reduce the probability of a missed match (e.g., false negative) and improve the accuracy of audio information retrieval.

Abstract: Embodiments of the present invention provide an audio information retrieval method and device. The method includes acquiring a spectrogram of an audio clip, extracting a local feature of at least one energy extreme point in the spectrogram to use as a local feature sequence of the audio clip, and conducting an audio information retrieval according to the local feature sequence of the audio clip to acquire audio information. Embodiments of the present invention reduce the probability of a missed match (e.g., false negative) and improve the accuracy of audio information retrieval.

Abstract: Provided is a method of controlling a digital image processing apparatus for detecting a face from continuously input images, the method comprising operations (a) to (c). In (a), if a face is detected, image information of a body area is stored. In (b), if the face is not detected, a body having the image information stored in (a) is detected. In (c), if a current body is detected after a previous body was detected in (b), an image characteristic of the previously detected body is compared to an image characteristic of the currently detected body, and a movement state of the face is determined according to the comparison result.

Abstract: A digital photographing apparatus capable of precisely and immediately performing autofocusing on a person being photographed, and a method of controlling the same are provided. The digital photographing apparatus comprises a face detecting unit that detects a face, a body detecting unit that detects a body, which may or may not exclude the face, an autofocus information obtaining unit, and an autofocus object determining unit. The autofocus object determining unit analyzes face autofocus information obtained from the face by the autofocus information obtaining unit and body autofocus information obtained from the body, and then selects the face part and/or the body as an object of autofocusing.

Abstract: Provided are an apparatus and method for adjusting focus using the MTF characteristics of a lens in a digital image processing apparatus that adjusts focus using optical characteristics of a lens. The apparatus for adjusting focus includes: an image pickup unit in which modulation transfer function (MTF) data, which can be used to represent the performance of a lens, is stored; and a digital signal processing unit that calculates a focus peak value of an image and a defocus correction value based on the MTF data, and corrects the focus position using the focus peak value and the defocus correction value.

Abstract: A digital photographing apparatus which automatically determines a face, as chosen by a user, on which autofocusing is to be performed while not imposing an excessive computational load on the digital photographing apparatus. Also provided is a control method for the digital photographing apparatus, and a recording medium storing a program for executing the control method. The digital photographing apparatus includes an image division unit dividing an image into a plurality of regions, a first score assignment unit assigning a first score to each face part included in the image according to a region to which the face part belongs, and a face part determination unit determining a face part on which autofocusing is to be performed, based on the first score assigned to each face part.

Abstract: Provided are an apparatus and method for adjusting focus using the MTF characteristics of a lens in a digital image processing apparatus that adjusts focus using optical characteristics of a lens. The apparatus for adjusting focus includes: an image pickup unit in which modulation transfer function (MTF) data, which can be used to represent the performance of a lens, is stored; and a digital signal processing unit that calculates a focus peak value of an image and a defocus correction value based on the MTF data, and corrects the focus position using the focus peak value and the defocus correction value.

Abstract: Provided is a method of controlling a digital image processing apparatus for detecting a face from continuously input images, the method comprising operations (a) to (c). In (a), if a face is detected, image information of a body area is stored. In (b), if the face is not detected, a body having the image information stored in (a) is detected. In (c), if a current body is detected after a previous body was detected in (b), an image characteristic of the previously detected body is compared to an image characteristic of the currently detected body, and a movement state of the face is determined according to the comparison result.

Abstract: A digital photographing apparatus which automatically determines a face, as chosen by a user, on which autofocusing is to be performed while not imposing an excessive computational load on the digital photographing apparatus. Also provided is a control method for the digital photographing apparatus, and a recording medium storing a program for executing the control method. The digital photographing apparatus includes an image division unit dividing an image into a plurality of regions, a first score assignment unit assigning a first score to each face part included in the image according to a region to which the face part belongs, and a face part determination unit determining a face part on which autofocusing is to be performed, based on the first score assigned to each face part.

Abstract: A digital photographing apparatus capable of precisely and immediately performing autofocusing on a person being photographed, and a method of controlling the same are provided. The digital photographing apparatus comprises a face detecting unit that detects a face, a body detecting unit that detects a body, which may or may not exclude the face, an autofocus information obtaining unit, and an autofocus object determining unit. The autofocus object determining unit analyzes face autofocus information obtained from the face by the autofocus information obtaining unit and body autofocus information obtained from the body, and then selects the face part and/or the body as an object of autofocusing.

Abstract: Disclosed are a method of forming a nanoparticle array, including preparing a trench having a channel structure between upper and lower substrates, preparing a dispersion of nanoparticles, and bringing the trench into contact with the dispersion such that the dispersion enters the channel of the trench due to capillary force, and a nanoparticle array prepared thereby. According to this invention, the nanoparticles may be uniformly arranged at a high density on a substrate having a large area at low cost.

Abstract: A navigation system and a method for controlling the same wherein navigation functions are integrally mounted in a mobile communication terminal to enable to guide the travel of a mobile object in real time.

Abstract: A method for identifying traffic information includes receiving traffic data including a first identifier, information corresponding to a prediction of an amount of congestion for a particular link, and information corresponding to a location associated with the particular link. The first identifier enables a determination of a type of the information that is included within the received traffic data. The method also includes determining a type of information included within the received traffic data based on the first identifier and determining congestion amount prediction information based on the information included in the received traffic data only if the first identifier enables a determination that the received traffic data includes a prediction related to congestion amount.

Abstract: A method for identifying traffic information includes receiving traffic data including a first identifier, information corresponding to a predicted amount of time to traverse a particular link, and information corresponding to a location associated with the particular link, where the first identifier enables a determination of a type of the information that is included within the received traffic data. The method also includes determining a type of information included within the received traffic data based on the first identifier and determining travel time prediction information based on the predicted amount of time included in the received traffic data only if the first identifier enables a determination that the received traffic data includes a prediction related to an amount of time.

Abstract: A method for identifying traffic information for at least one sub-link includes receiving traffic information including a sub-link identifier enabling a determination of whether the received traffic information includes sub-link information, traffic status information enabling a determination of traffic information for a sub-link, information identifying a link within which the sub-link is located, and sub-link location information enabling a determination of a portion of the link that corresponds to the sub-link. The method also includes determining, based on the sub-link identifier whether the received traffic information includes sub-link information and dependent on whether the sub-link identifier enables a determination that the received traffic information includes sub-link information.

Abstract: A method of processing traffic information includes receiving link vertex information including a first identifier and vertex components that each reveal a position along a link. The first identifier enables a determination of a type of information that is included within the received link vertex information. The method also includes determining the type of information included within the received link vertex information based on the first identifier and identifying vertex components within the link vertex information only if the first identifier enables a determination that the received link vertex information includes at least one vertex component.

Abstract: A travel route searching method of a mobile object whereby a travel route preferred by a user of a mobile object is searched using a road preferred by the user of the mobile object, a travel pattern at a crossroad and a road recommended by other user, and wherein the method comprises the steps of: collecting information of a road traveled by the mobile object, and discriminating a road preference by the collected information of the road to search the travel route; collecting a behavioral factor of the mobile object at a crossroad, and discriminating a behavioral factor preference of the user by the collected behavioral factor to search the travel route; storing as a recommended road the information of the road the mobile object has traveled if there is a instruction of storing the recommended road; and searching a recommended road situated between a starting point and a destination if the travel route is searched.