Abstract:
The present invention relates to an ADC which stores information in a time axis and processes the same with low power. To provide an ADC which realizes low power though a composition which does not increase complexity according to resolution, the ADC stores information in a time axis and processes the same, and has a composition for realizing a binary search algorithm. Also, to solve the above-stated objective, an analog-digital converter according to one aspect of the present invention is provided.
Abstract:
PURPOSE: A schizophrenia distinguishing method using Small-worldness and work output is provided to objectively distinguish a normal person and a patient by numerically quantifying the diagnostic criteria. CONSTITUTION: A Small-world network is configured (S10). The synchronization of multiple EEG pairs is used in the configuration. The property of the Small-world network is determined (S20). The Small-worldness is calculated (S30). A subject is distinguished by using the Small-worldness (S40). [Reference numerals] (AA) Motion detection part; (BB) Input detection part; (S10) Memory part; (S20) Toothbrush body; (S30) Communication part; (S40) Power supply part
Abstract:
PURPOSE: A prediction device predicting an important part from amino acid or nucleic acid sequences and a method thereof are provided to detailedly and accurately measure an important part of a life molecule sequence, thereby reducing costs and time required for discovering the important part. CONSTITUTION: A sequence database(130) stores information of an amino acid or nucleic acid sequence. A multi sequence arranging means(120) searches and arranges sequences related to the inputted amino acid or nucleic acid sequence in the sequence database. A multi sequence arrangement post-processing means(140) controls redundancy of a similar sequence based on multi sequence arrangement. A sequence profile calculating means(150) calculates a sequence profile based on multi sequence arrangement post-processing. A joint probability calculating means(160) calculates a joint probability of the amino acid and the nucleic acid based on the multi sequence arrangement post-processing means and the sequence profile calculating means. [Reference numerals] (110) Input means; (120) Multi sequence arranging means; (130) Sequence database; (140) Multi sequence arrangement post-processing means; (150) Sequence profile calculating means; (160) Joint probability calculating means; (170) Coevolution analyzing means; (180) Essential portion selecting means; (190) Output means
Abstract:
PURPOSE: A method and an apparatus for outputting sounds by compartmentalizing multiple sound sources are provided to output sound with spatial perception using sound sources which do not include spatial information. CONSTITUTION: A first location corresponding to a first sound source and a second location corresponding to a second sound source are set up(S101). The first location corresponding to the first sound source and the second location corresponding to the second sound source are defined in a virtual space. A first space transmitting function pitching with the first location and a second space transmitting function determined by the second location are set up(S102). The first space transmitting function models the sound wave transmitting response from the first location to the virtual listening location. The second space transmitting function models the sound wave transmitting response from the second location to the virtual listening location. The result applying the first space transmitting function on the first sound source is outputted as a first sound(S103). The result applying the second space transmitting function on the second sound source is outputted as a second sound.
Abstract:
PURPOSE: A self-failure recovery circuit system and self-failure recovery method are provided to increase the operational reliability of an electronic circuit and to search for the location of failure by dividing an electronic circuit by unit. CONSTITUTION: A failure determining and differentiating unit(120) recognizes the location and failure of a sub module. A recovery management unit(110) determines a partition area of a sub module. The failure determining and differentiating unit differentiates the sub module having failure. A semiconductor circuit unit includes four intrinsic differentiating areas of the sub module.