Abstract: A method, a computer system, and a computer program product for selecting electronic documents based on an expertness level for a target keyword. The method includes identifying a Lowest Common Ancestor (LCA) for each pair of categories to which documents in a document set belong based on a graph having edges which define relationships between nodes representing respective ones of the categories, the document set being associated with a target keyword, obtaining a degree of dispersion of the categories based on respective distances between the categories of each pair and the corresponding LCA, determining an expertness level for the target keyword based on the degree of dispersion, and in response to receiving a search query including the target keyword, selecting one or more documents from a database based on the expertness level for the target keyword.

Abstract: A method, a computer system, and a computer program product for determining an expertness level for a target keyword. The method includes preparing a document set associated with the target keyword, identifying, for each document in the document set, a category to which the document in the document set belongs, and determining an expertness level for the target keyword, based on a degree of dispersion of the identified categories. Each document in the document set may be associated with a category, and a graph which defines relations among the identified categories is generated from the identified categories to obtain the degree of dispersion of the identified categories. On condition that the degree of dispersion is lower, the expertness level for the target keyword may be determined to be higher or a higher expertness level is assigned to the target keyword.

Abstract: A method applied to a computer that determines a situation of a system includes the steps of: receiving measurement data from each of a plurality of measurement targets in the system; computing a plurality of sets of anomaly values based on the measurement data and a predetermined computation algorithm according to a plurality of classifications corresponding to a plurality of properties of each measurement target; and determining the situation of the system based on the sets of anomaly values and a predetermined determination algorithm.

Abstract: Extracting one or more keywords in a claim, including: decomposing an independent claim into a plurality of elements, wherein each element in the plurality of elements has at least one term; constructing a dependency structure from the plurality of elements, wherein each element in the plurality of elements has a depth in the dependency structure; calculating a score using the depth of the element corresponding to the at least one term in the independent claim; and extracting at least one keyword from the at least one term having a score equal to or larger than a predetermined threshold.

Abstract: An optical filter includes: an absorption layer containing a first near-infrared absorbent having a maximum absorption in a wavelength of 660 to 785 nm, and satisfying (i-1) in 620 to 670 nm, on a shorter wavelength side of a wavelength ? (DA_Tmin) exhibiting the maximum absorption, there is a wavelength ?Sh (DA_T50%) at which a transmittance becomes 50%; and a reflection layer formed of a dielectric multilayered film satisfying (ii-1) in 670 to 1200 nm, there is a near-infrared reflection band in which a transmittance with respect to light at an incident angle of 0° becomes 50% or less, and a wavelength ?Sh (A2_Ts50%) at which a transmittance of light of an s polarization component out of light at an incident angle of 30° becomes 50%, on a shorter wavelength side of the near-infrared reflection band, is positioned on a longer wavelength side of the wavelength ?Sh (DA_T50%).

Abstract: To provide an optical filter having shielding effects against near ultraviolet rays and near infrared rays. An optical filter comprising a transparent resin body having a single layer or multilayer structure, and containing a near ultraviolet absorbing dye (U) which is a compound represented by the following formula (U) and which has an absorption maximum at a wavelength of from 370 to 425 nm and has a molar absorptivity at the maximum absorption wavelength of at least 50,000 [L/(mol·cm)], and a near infrared absorbing dye (A) which has an absorption maximum at a wavelength of from 600 to 800 nm: In the formula (U), Y is an oxygen atom, a methylene group or a dimethylene group, R1 is a monovalent hydrocarbon group which may have a substituent, or the like, R2 to R5 are a hydrogen atom, an alkyl group, an alkoxy group or the like, and X is a bivalent group represented by any one of the formulae (X1) to (X5) or the like.

Abstract: A method for measuring technology trends that includes providing from a plurality of inventors in a technology field a baseline of technical documents published in a time period, and detecting a number of technical document publications having at least one inventor in the plurality of inventors in the technology field. The method further includes comparing the number of technical document publications to the baseline of technical documents published in the time period. If the technical document publications exceed the baseline, the number of technical document publications are trending. Comparative analysis of the content for the technical document publications that are trending determines a measurement of similarity in technical field subgroups. Trending technical subgroups are extracted from the technical document publications that are trending with a degree of similarity above a threshold as a target technical group that is a trend.

Abstract: A method, a computer system, and a computer program product for determining an expertness level for a target keyword. The method includes preparing a document set associated with the target keyword, identifying, for each document in the document set, a category to which the document in the document set belongs, and determining an expertness level for the target keyword, based on a degree of dispersion of the identified categories. Each document in the document set may be associated with a category, and a graph which defines relations among the identified categories is generated from the identified categories to obtain the degree of dispersion of the identified categories. On condition that the degree of dispersion is lower, the expertness level for the target keyword may be determined to be higher or a higher expertness level is assigned to the target keyword.

Abstract: An aromatic polycarbonate resin composition is obtained by removing a solvent from a resin solution that is obtained by dissolving an aromatic polycarbonate resin-A that has a viscosity-average molecular weight of 3,000-25,000 and an aromatic polycarbonate resin-B that has a viscosity-average molecular weight of 50,000-90,000 into the solvent. The aromatic polycarbonate resin-A is contained in an amount of 99-50% by mass and the aromatic polycarbonate resin-B is contained in an amount of 1-50% by mass relative to the total mass of the aromatic polycarbonate resin-A and the aromatic polycarbonate resin-B; a plate-like molded article having thickness of 3.0 mm and molded from the aromatic polycarbonate resin composition has a haze value of 2% or less; and the number of unmelted polycarbonate pieces having a length of 100 ?m or more and present within a region of 5 cm×3 cm in the plate-like molded article is 10 or less.

Abstract: A system and computer implemented method for estimating difficulty of a document includes retrieving a subject document from a storage, setting difficulty of each keyword included in the subject document to locality of the keyword in the subject document as an initial value, estimating, by a processor, difficulty of each subject document by a statistical processing of the difficulties of keywords included in the subject document, and updating the difficulty of each keyword based on the difficulty of each subject document depending on a significance value of the keyword in the subject document.

Abstract: A method for identifying synonymous expressions includes determining synonymous expression candidates for a target expression. A plurality of target images related to the target expression and a plurality of candidate images related to each of the synonymous expression candidates are identified. Features extracted from the plurality of target images are compared with features extracted from the plurality of candidate images using a processor to identify a synonymous expression of the target expression.

Abstract: An aromatic polycarbonate resin composition is obtained by removing a solvent from a resin solution that is obtained by dissolving an aromatic polycarbonate resin-A that has a viscosity-average molecular weight of 3,000-25,000 and an aromatic polycarbonate resin-B that has a viscosity-average molecular weight of 50,000-90,000 into the solvent. The aromatic polycarbonate resin-A is contained in an amount of 99-50% by mass and the aromatic polycarbonate resin-B is contained in an amount of 1-50% by mass relative to the total mass of the aromatic polycarbonate resin-A and the aromatic polycarbonate resin-B; a plate-like molded article having thickness of 3.0 mm and molded from the aromatic polycarbonate resin composition has a haze value of 2% or less; and the number of unmelted polycarbonate pieces having a length of 100 ?m or more and present within a region of 5 cm×3 cm in the plate-like molded article is 10 or less.

Abstract: A method for identifying synonymous expressions includes determining synonymous expression candidates for a target expression. A plurality of target images related to the target expression and a plurality of candidate images related to each of the synonymous expression candidates are identified. Features extracted from the plurality of target images are compared with features extracted from the plurality of candidate images using a processor to identify a synonymous expression of the target expression.

Abstract: A method, system and computer program product for measured value simulation. The method including the steps of: observing measured values of an event to provide observed values, where the step of observing starts at a predetermined observation time; concurrently running a plurality of simulations, where the simulations have behaviors that are characterized by different parameters and start at the predetermined observation time; producing a discrete distribution at a predetermined timing after the predetermined observation time, where the discrete distribution are based on distances between the measured values provided by the predetermined timing and calculation of the simulations; and producing a second plurality of simulations based on the discrete distribution.

Abstract: A method and an inspection apparatus for inspecting an information processing unit to which software update is applied. The apparatus includes a collection component configured to collect the behavior, for a plurality of times of software update, of the information processing unit to which one software update is applied. The apparatus also includes a determination component configured to compare the behavior collected for the plurality of times of software update to one another to determine whether the behavior of the information processing unit after the one software update is applied thereto is normal.

Abstract: A method applied to a computer that determines a situation of a system includes the steps of: receiving measurement data from each of a plurality of measurement targets in the system; computing a plurality of sets of anomaly values based on the measurement data and a predetermined computation algorithm according to a plurality of classifications corresponding to a plurality of properties of each measurement target; and determining the situation of the system based on the sets of anomaly values and a predetermined determination algorithm.

Abstract: Location estimation systems, methods, and non-transitory computer program products. The system includes: storage means provided in the computer, means for storing the vector datasets in the storage means of the computer, means for calculating the similarity between the vector dataset without any location label and each neighboring vector dataset with a location label, by using any one of a q-norm where 0?q?1 and an exponential attenuation function, and means for estimating the location label of the vector data without any location label from the calculated similarities.

Abstract: A method, apparatus, and article of manufacture are provided for detecting events based upon population density as a function of time and geographic location. Flow of population enables continuous movement to be distinguished from non-continuous movement. Accordingly, various types of events where people are gathering may be determined based upon the population flow and density.

Abstract: Provided is a system including sensors to measure objects to obtain first measurement values, respectively. A first server computes a correlation among the first measurement values based on the first measurement values. A proxy computes an actual measurement value of a second measurement value based on the first measurement values and a given function. A second server verifies the sensors by setting one or more sensors as verification target sensors in turn at predetermined timing. The second server computes a predicted value of the second measurement value based on the correlation and the first measurement values obtained from the other sensors except the verification target sensors among the plurality of sensors. The first or second servers and the proxy outputs the predicted value of the second measurement value instead of the actual measurement value thereof during the verification of the verification target sensors if an anomalous sensor is identified.

Abstract: Provided is a method applied to a system including a plurality of sensors, a proxy, and a server. The method includes: measuring objects by the plurality of sensors to obtain first measurement values; computing a correlation among the first measurement values by the server based on the first measurement values; computing an actual measurement value of a second measurement value by the proxy based on the first measurement values and a given function; verifying the plurality of sensors by setting one or more sensors as verification target sensors in turn by the server at predetermined timing; computing a predicted value of the second measurement value by the server based on the correlation and the first measurement values obtained from the other sensors; and outputting the predicted value of the second measurement value instead of the actual measurement value thereof at least during the verification of the verification target sensors.