Abstract: A sterilization system for a vehicle includes an outer housing configured to rotate about a first shaft and having an opening formed to face an interior space, an inner housing installed inside the outer housing, exposed to the interior space through the opening, configured to rotate about a second shaft, and having a light transmitting portion through which sterilizing light is transmitted, a light source embedded in the inner housing and configured to irradiate the sterilizing light toward the light transmitting portion, and a driver configured to rotate the outer housing and the inner housing to irradiate the sterilizing light to the interior space and to change an irradiation angle of the sterilizing light.

Abstract: An academic ability estimation model generation device to generate an academic ability estimation model with which current academic ability is accurately estimated without requiring comprehensive learning data. The academic ability estimation model generation device includes a decision tree generator that generates a decision tree by using correct/incorrect-answer information as teacher data, the correct/incorrect-answer information indicating that a plurality of answerers who have answered a question group consisting of a plurality of predetermined questions have answered each question correctly or incorrectly; a pruner that deletes a leaf node when an entropy of a classification result indicated by the leaf node being a terminal end of the decision tree which is generated is equal to or lower than a predetermined value. Further, there is a category generator that sets each new terminal end of the decision tree after deleting the leaf node as a category to which any of the answerers belongs.

Abstract: A UV sterilization system for a vehicle includes a sterilization housing in which a sterilizing object is accommodated, an LED module emitting ultraviolet rays to the sterilizing object, and a controller configured to control an operation of the LED module.

Abstract: An advice data generation device that is capable of generating advice data on how to write answers is provided. The advice data generation device includes: a time classification unit that classifies a time interval during which stroke data is present, in a predetermined time range defined as answering time, as an entering time interval based on the stroke data that is vector data of a coordinate of a trajectory of handwriting input and time, the handwriting input being performed by a user with respect to a predetermined electronic answer field to put an answer for a question; a time comparison unit that compares a length of each entering time interval of another user for each question with a length of each entering time interval of a target user for each question; and an advice generation unit that generates advice data representing a comparison result.

Abstract: A learning effect estimation apparatus includes a model storage memory storing a model that takes learning data as input, the learning data being data on learning results of users and being assigned with categories for different learning purposes. There is a correct answer probability generation unit that inputs the learning data to the model to generate the correct answer probability of each of the categories; a correct answer probability database that accumulates time-series data of the correct answer probability for each of the users; and a comprehension and reliability generation unit that acquires range data, the range data being data specifying a range of categories for estimating a learning effect for a specific user, and generates a comprehension.

Abstract: A vehicle door armrest includes: a cushion; a skin covering the cushion; and a living hinge connecting the cushion and the skin. In particular, the skin is integrally connected to the cushion through the living hinge so that the skin, the cushion, and the living hinge form a unitary one-piece structure.

Abstract: A UV sterilization system for a vehicle includes a sterilization housing in which a sterilizing object is accommodated, an LED module emitting ultraviolet rays to the sterilizing object, and a controller configured to control an operation of the LED module.

Abstract: Embodiments are directed towards collecting, aggregating and indexing unique and non-unique user data from a plurality of users. The result for a query of this indexed aggregation of user data is provided in a plurality of sub-sets of aggregated user data. Each subset of aggregated user data corresponds to a particular portion of the plurality of users. Also, each of these particular portions of the users is set at least large enough to provide general anonymity for the individual users. User data may be collected by one or more user data suppliers and provided to a user data aggregator. In some embodiments, user data may be collected as unique user data, non-unique user data, or any combination thereof. In some embodiments, user data may be aggregated by zip code, expanded zip code, and/or one or more attributes.

Abstract: A method of processing an image receives a first video including a plurality of frames, obtains importance information indicating importance of at least one region included in the plurality of frames, determines axes of a grid for at least one region of the first video based on the importance information, generates a second video by encoding the first video based on the axes of the grid, and outputs the second video and information about the axes of the grid.

Abstract: A vehicle door armrest includes: a cushion; a skin covering the cushion; and a living hinge connecting the cushion and the skin. In particular, the skin is integrally connected to the cushion through the living hinge so that the skin, the cushion, and the living hinge form a unitary one-piece structure.

Abstract: Provided is a method of acquiring an optimized closed curved surface image using multiple cameras, and more particularly, an image providing method that produces a single image using a plurality of cameras fixed to a rig and having different capturing viewpoints, the method including projection operation of acquiring a single image by projecting images acquired from the plurality of cameras on a projection surface of a closed curved surface based on parameter information, rendering operation of fitting the acquired single image in a quadrangular frame for each region through a non-uniform sampling process, and viewing operation of mapping the sampled image to a viewing sphere.

Abstract: Embodiments are directed towards employing multiple profiles to track identification of users across multiple domains. Multiple application-domain profiles and multiple web-domain profiles may each include a statistical identifier. A profile enrichment store may be generated from the application-domain profiles and web-domain profiles, where each entry in the profile enrichment store may be based on statistical identifiers. The profile enrichment store may be utilized to determine categories associated with a statistical identifier for a request from a client device. A targeted advertisement may be determined based on the determined category and may be provided to the client device. A client caching identifier may be used in a mobile web domain, in combination with the statistical identifier, to track mobile web users. If a request is associated with a profile that includes an affirmative opt-out flag, categories in the profile enrichment store for a corresponding statistical identifier may be cleaned up.

Abstract: Embodiments are directed towards employing multiple profiles to track identification of users across multiple domains. Multiple application-domain profiles and multiple web-domain profiles may each include a statistical identifier. A profile enrichment store may be generated from the application-domain profiles and web-domain profiles, where each entry in the profile enrichment store may be based on statistical identifiers. The profile enrichment store may be utilized to determine categories associated with a statistical identifier for a request from a client device. A targeted advertisement may be determined based on the determined category and may be provided to the client device. A client caching identifier may be used in a mobile web domain, in combination with the statistical identifier, to track mobile web users. If a request is associated with a profile that includes an affirmative opt-out flag, categories in the profile enrichment store for a corresponding statistical identifier may be cleaned up.

Abstract: Embodiments are directed towards employing multiple profiles to track identification of users across multiple domains. Multiple application-domain profiles and multiple web-domain profiles may each include a statistical identifier. A profile enrichment store may be generated from the application-domain profiles and web-domain profiles, where each entry in the profile enrichment store may be based on statistical identifiers. The profile enrichment store may be utilized to determine categories associated with a statistical identifier for a request from a client device. A targeted advertisement may be determined based on the determined category and may be provided to the client device. A client caching identifier may be used in a mobile web domain, in combination with the statistical identifier, to track mobile web users. If a request is associated with a profile that includes an affirmative opt-out flag, categories in the profile enrichment store for a corresponding statistical identifier may be cleaned up.

Abstract: A system, method, apparatus, and processor readable non-transitive storage media are described for matching items in large datasets based on non-invasive fingerprints of users so that collected metric data for advertisements (media) and behavioral data may be reconciled and analyzed. Since user fingerprints may not generate a unique one to one correspondence or mapping under certain constraints, the various embodiments employ a sampling method that optimally matches the output of a random sampling of non-invasive fingerprints. The use of non-invasive fingerprints and specialized sampling enables the various embodiments to provide advanced analytics for advertising content and metric data in targeted behavior advertising campaigns. To compare impressions with user profile data, the various embodiments employ in part the time stamp dimension of user profiles to generate temporally unique persistent non-invasive fingerprints.

Abstract: A system, method, apparatus and processor readable media are described for real-time prediction of an advertising audience volume through analysis of historical audience data, and tuning of the predicted audience volume. Embodiments enable a user to specify a query for audience volume prediction. Such a query may be a Boolean combination of various audience categories. A time range may be determined that indicates the amount of historical data that is to be analyzed to make the audience volume prediction in real time. Employing the user-specified query, an audience volume prediction may be provided for a future time period, based on an analysis of retrieved historical audience data for the time range. Embodiments may also enable a user to tune the predicted audience volume through modification of the query through one or more iterations.

Abstract: Embodiments are directed towards collecting, aggregating and indexing unique and non-unique user data from a plurality of users. The result for a query of this indexed aggregation of user data is provided in a plurality of sub-sets of aggregated user data. Each subset of aggregated user data corresponds to a particular portion of the plurality of users. Also, each of these particular portions of the users is set at least large enough to provide general anonymity for the individual users. User data may be collected by one or more user data suppliers and provided to a user data aggregator. In some embodiments, user data may be collected as unique user data, non-unique user data, or any combination thereof. In some embodiments, user data may be aggregated by zip code, expanded zip code, and/or one or more attributes.

Abstract: A natural language processing apparatus is provided with: a dialog processing unit which, every time an analyzable unit of a part of a natural language sentence is inputted, performs analysis processing with respect to the input unit in each of a plurality of analysis processing units in an incremental and parallel manner; and an output unit which obtains an output, such as a dialog response sentence, based on an analysis result from each analysis processing unit in the dialog processing unit. Each of processing units prepared in the dialog processing unit acquires an immediately preceding or an earlier past analysis result from the processing unit, and an immediately preceding or an earlier past analysis results from the other processing units, and obtains one or a limited number of analysis results while making an estimation with reference to the acquired analysis results.

Abstract: With respect to educational assistance methods using user terminals such as tablets and the like, the invention assists users with learning and utilizing connections between a plurality of knowledge items. Disclosed is an assistance device for: storing knowledge items learnt by a user; determining whether there exist common characteristics between knowledge items learnt newly by the user and at least one of the knowledge items already learnt by the user; and responsive to the existence of common characteristics, causing the user's terminal to present the existence of the characteristics.

Abstract: Embodiments are directed towards collecting, aggregating and indexing unique and non-unique user data from a plurality of users. The result for a query of this indexed aggregation of user data is provided in a plurality of sub-sets of aggregated user data. Each subset of aggregated user data corresponds to a particular portion of the plurality of users. Also, each of these particular portions of the users is set at least large enough to provide general anonymity for the individual users. User data may be collected by one or more user data suppliers and provided to a user data aggregator. In some embodiments, user data may be collected as unique user data, non-unique user data, or any combination thereof. In some embodiments, user data may be aggregated by zip code, expanded zip code, and/or one or more attributes.