Abstract: An example apparatus, a computer-implemented method, and a computer program product for utilizing a plurality of sensors on a head-mounted display to unlock locked features of the head-mounted display are provided. The example apparatus includes a head-mounted display, a plurality of sensors mounted on the head-mounted display and configured to detect a gesture of a user of the head-mounted display, and a multi-modal unlocking model. The multi-modal unlocking model further includes one or more processors and one or more storage devices storing instructions that are operable, when executed by the one or more processors, to cause the one or more processors to detect a gesture sequence passcode comprising one or more passcode gestures in a series of passcode gestures delimited by a physical interaction with the head-mounted display, and unlock a locked feature of the head-mounted display based on the gesture sequence passcode.

Abstract: A multiple stage separation vortex flow air filter includes an air filter housing (AFH) having a central axis; a cylindrical helical plate located within the AFH proximate an upper shell bottom of the AFH; an air inlet eccentrically connected to the AFH to cause air flowing through the air inlet to create a vortex around the cylindrical helical plate; an perforated conical element in which the air flows through, the perforated conical element within the cylindrical helical plate around the central axis; an oblong conical casing that forms a conical passage and located along the central axis and partially within the perforated conical element, wherein air enters the conical passage through a whirling ring; and an air filter element within the oblong conical casing, wherein air flows through the air filter element and enters into an engine through an outlet pipe.

Abstract: A cross member for a chassis frame of a vehicle, the cross member comprising a first part and a second part, the first part comprising a first top flange, a first bottom flange parallel to the first top flange, a first web, and a first end surface. The second part comprises a second top flange, a second bottom flange parallel to the second top flange, a second web, and a second end surface parallel to 10 the first end surface. A portion of the first end surface, when in projection in a plane parallel to the first top flange is oblique in relation to a plane perpendicular to a transversal axis. The cross member further comprises a reinforcement member, secured to the first and second webs.

Abstract: A brake cooling system, comprising a pressurized air source configured to supply compressed air. A flow passage extends from the pressurized air source to a vicinity of a brake assembly, and has an outlet directing the air towards the brake assembly. At least one de Laval nozzle is provided in the flow passage to increase speed and reduce temperature of air passed through the de Laval nozzle. A valve controls fluid communication between the air source and the de Laval nozzle. When the valve is closed, air is prevented from reaching the de Laval nozzle. When the valve is open, air is allowed to pass through the de Laval nozzle. A temperature sensor senses the temperature of a brake assembly. If the temperature is above a predefined limit, the valve becomes opened, and air is passed through one or series of de Laval nozzle and to the brake assembly.

Abstract: Given a search result, the set of authors-identifiers appearing in it can be determined by use of a hash function, and an array-type data structure called an audience fingerprint (AF). The AF has as many storage locations as the hash function has possible output values. The number of possible output values is chosen to be large enough, with respect to the maximum number of unique authors expected in any one search result, to create a very high probability of a unique output value for each unique author-identifier that is hashed. At the AF location, addressed with a hash value, is stored an indicator that the author-identifier is present. The indicator can be a single bit, simplifying set operations on AFs. When not in working memory, an AF can be stored as a compacted sparse array. The actual author-identifiers present can be determined, from an AF, with an inverse hash function.

Abstract: Techniques are presented for producing demographics, in an automated fashion, from a search result of computer-accessible content. While the demographics can be determined for a research product that has been produced by any technique, they are particularly useful when applied to an automated frame-based search approach. Frame-based search engines are presented for technology profiling, healthcare-related search and brand research. Determination of a demographic proceeds at two levels: member and population. At the member level, a demographic characteristic can be determined applicable with either total or partial certainty. Each value assigned by a demographic, to a population member, has a confidence level associated with it and the assignments can be represented by a Confidence Distribution. Summarization of a demographic, at the population level, depends upon whether the certainty assignments, at the member level, are total or partial. Declarant Demographics are presented.

Abstract: Techniques are presented for producing demographics, in an automated fashion, from a search result of computer-accessible content. While the demographics can be determined for a research product that has been produced by any technique, they are particularly useful when applied to an automated frame-based search approach. Frame-based search engines are presented for technology profiling, healthcare-related search and brand research. Determination of a demographic proceeds at two levels: member and population. At the member level, a demographic characteristic can be determined applicable with either total or partial certainty. Each value assigned by a demographic, to a population member, has a confidence level associated with it and the assignments can be represented by a Confidence Distribution. Summarization of a demographic, at the population level, depends upon whether the certainty assignments, at the member level, are total or partial. Declarant Demographics are presented.

Abstract: Analysis is enabled, of a corpus of statements (such as those from social media), according to each statement's expression of sentiment about some kind of object. Object-specific corpuses are identified, where each object-specific corpus contains statements that refer to a same object. For each statement of an object-specific corpus, the polarity and intensity of sentiment expressed is determined. Net polarity and intensity measures are determined for each object-specific corpus and utilized to graph the corpus in a two-dimensional space. The area of the graphical symbol, representative of an object-specific corpus, can be proportional to the number (absolute or relative) of statements of the object-specific corpus. Brands can be compared, with each brand represented by an object-specific corpus. A single brand can have shown, relative to a temporal dimension, the net polarity, net intensity, or volume of its statements. Net polarity is shown to have a strong correlation with survey-based techniques.

Abstract: To the standard operations of an inverted index database, a new “To” operator is added. The “To” operator treats the standard single-level linear collection of records as being organized into localized clusters. Techniques for hierarchical clusters are presented. During indexing, hierarchical clusters are serialized according to a uniform visitation procedure. Serialization produces bit maps, one for each hierarchical level, that preserve the hierarchical level of each record and its location in the serialization sequence. The “To” operator accepts a list of records, each at a same hierarchical level in a cluster, and a specification of a hierarchical level that all the input records should be converted into. The “To” operator outputs a list of records, representing a conversion of the input records to the specified new level. When searching a Corpus-of-Interest for an Object-of-Interest, techniques are presented for greatly improving the process by which Exclude Terms are identified.

Abstract: Differences are identified, at the lexical unit and/or phrase level, between time-varying corpora. A corpus for a time period of interest is compared with a reference corpus. N-grams are generated for both the corpus of interest and reference corpus. Numbers of occurrences are counted. An average number of occurrences, for each n-gram of the reference corpus, is determined. A difference value, between number of occurrences in corpus of interest and average number of occurrences, is determined. Each difference value is normalized. N-grams can be selected for display, or for further processing, on the basis of the normalized difference value. Further processing can include selecting a sample period. A plurality of reference corpora are produced, where a begin time, for each sub-corpus of the plurality of reference corpora, differs, from a begin time for the corpus of interest, by an integer multiple of the sample period. Word Cloud visualization is shown.

Abstract: Given a search result, the set of authors-identifiers appearing in it can be determined by use of a hash function, and an array-type data structure called an audience fingerprint (AF). The AF has as many storage locations as the hash function has possible output values. The number of possible output values is chosen to be large enough, with respect to the maximum number of unique authors expected in any one search result, to create a very high probability of a unique output value for each unique author-identifier that is hashed. At the AF location, addressed with a hash value, is stored an indicator that the author-identifier is present. The indicator can be a single bit, simplifying set operations on AFs. When not in working memory, an AF can be stored as a compacted sparse array. The actual author-identifiers present can be determined, from an AF, with an inverse hash function.

Abstract: The specific preparation and cooking of specific ingredients to create a sauce. The sauce may serve or be intended for dipping and/or as a condiment, to serve on top of food items for added flavor.

Abstract: Differences are identified, at the lexical unit and/or phrase level, between time-varying corpora. A corpus for a time period of interest is compared with a reference corpus. N-grams are generated for both the corpus of interest and reference corpus. Numbers of occurrences are counted. An average number of occurrences, for each n-gram of the reference corpus, is determined. A difference value, between number of occurrences in corpus of interest and average number of occurrences, is determined. Each difference value is normalized. N-grams can be selected for display, or for further processing, on the basis of the normalized difference value. Further processing can include selecting a sample period. A plurality of reference corpora are produced, where a begin time, for each sub-corpus of the plurality of reference corpora, differs, from a begin time for the corpus of interest, by an integer multiple of the sample period. Word Cloud visualization is shown.

Abstract: To the standard inverted index database, a new “To” operator is added. The “To” operator treats the standard single-level linear collection of records as being organized into localized clusters. Techniques for hierarchical clusters are presented. During indexing, hierarchical clusters are serialized according to a uniform visitation procedure. Serialization produces bit maps, one for each hierarchical level, that preserve the hierarchical level of each record and its location in the serialization sequence. Also presented are techniques, when searching for an Object-of-Interest, for greatly improving the process by which Exclude Terms are identified. Exclude Terms are particularly useful when the lexical units, representing an Object-of-Interest, are ambiguous. When in the mode of searching for Exclude Terms, the Object-of-Interest can match anywhere in a snippet, rather than just in the focus sentence.

Abstract: Techniques are presented for producing demographics, in an automated fashion, from a search result of computer-accessible content. While the demographics can be determined for a research product that has been produced by any technique, they are particularly useful when applied to an automated frame-based search approach. Frame-based search engines are presented for technology profiling, healthcare-related search and brand research. Determination of a demographic proceeds at two levels: member and population. At the member level, a demographic characteristic can be determined applicable with either total or partial certainty. Each value assigned by a demographic, to a population member, has a confidence level associated with it and the assignments can be represented by a Confidence Distribution. Summarization of a demographic, at the population level, depends upon whether the certainty assignments, at the member level, are total or partial. Declarant Demographics are presented.

Abstract: Analysis is enabled, of a corpus of statements (such as those from social media), according to each statement's expression of sentiment about some kind of object. Object-specific corpuses are identified, where each object-specific corpus contains statements that refer to a same object. For each statement of an object-specific corpus, the polarity and intensity of sentiment expressed is determined. Net polarity and intensity measures are determined for each object-specific corpus and utilized to graph the corpus in a two-dimensional space. The area of the graphical symbol, representative of an object-specific corpus, can be proportional to the number (absolute or relative) of statements of the object-specific corpus. Brands can be compared, with each brand represented by an object-specific corpus. A single brand can have shown, relative to a temporal dimension, the net polarity, net intensity, or volume of its statements. Net polarity is shown to have a strong correlation with survey-based techniques.

Abstract: In accordance with an embodiment of the invention, a system for communicating in an interactive session is provided. The system includes a display unit configured to display information received from an input device. The system also includes a plurality of portable electronic devices communicatively coupled to the display unit wherein, the display unit is configured to share data received from a plurality of audiences during the interactive session.