Abstract: A Pickering particle dry powder and a preparation method are used in food processing. The preparation method includes stirring peanut protein isolate and water as raw materials to obtain peanut protein isolate dispersion, subjecting the peanut protein isolate dispersion to ultrasonic treatment, subjecting the resultant to cross-linking reaction with transglutaminase to obtain a monolithic geld, shearing and homogenizing the monolithic gel to obtain a microgel particle dispersion, spray drying the microgel particle dispersion to obtain the Pickering particle dry powder. The Pickering particle dry powder prepared by the ultrasonic-assisted enzyme method is still in nanometer level after rehydration, which is beneficial to preparing Pickering emulsion with strong stability. The preparation method has the advantages of simple operation and low cost, which is beneficial to actual production in the food industry.

Abstract: A cutting deck lifting device for adjusting the height of the cutting deck of a mower includes a cutting deck having at least one cutting blade mounted thereto, a pedal assembly including a pedal switched between locking and unlocking states for adjusting the height of the cutting deck, a connecting assembly connecting the pedal assembly to the cutting deck and an adjusting assembly connected to the pedal assembly for positioning the cutting deck to a position with a desired height when the pedal is switched between locking and unlocking states. The cutting deck lifting device can conveniently and quickly adjust the cutting deck between the first position and the second position. Simultaneously, the cutting deck lifting device has a simple structure, a low manufacturing cost, and easy installation, and can be applied to a variety of garden tools.

Abstract: An MEMS device includes a package (1), a bottom plate (2), and a first inertial component (3). The first inertial component (3) is located in packaging space (4) formed by the bottom plate (2) and the package (1). There is a first alignment part (21) on a surface that is of the bottom plate (2) and that faces the packaging space (4), and the first inertial component (3) has a first mounting part (31). A shape of the first mounting part (31) matches a shape of the first alignment part (21). The MEMS device is equipped with a mounting alignment reference, the first mounting part (31) is connected to the first alignment part (21), and the first inertial component is mounted on the bottom plate at a preset angle. In addition, a bottom part of the first inertial component is not directly connected to the bottom plate.

Abstract: Traffic jam patterns can be identified and, based on historical traffic data, pre-traffic jam patterns that are likely to result in the traffic jam patterns can be identified as well. Real-time traffic data regarding a driving road of a community can be received and analyzed to determine whether the real-time traffic data match with a pre-traffic jam pattern. If the data matches a pre-traffic jam pattern, an alerting signal for predicting a traffic jam can be transmitted.

Abstract: Embodiments of the present disclosure relate to object detection in an image. In an embodiment, a computer-implemented method is disclosed. According to the method, image data representing a scene is obtained and sound distribution information related to the scene is obtained. A detection strategy to be applied in object detection is determined based on the sound distribution information. The object detection is performed on the image data by applying the detection strategy. In other embodiments, a system and a computer program product are disclosed.

Abstract: Traffic jam patterns can be identified and, based on historical traffic data, pre-traffic jam patterns that are likely to result in the traffic jam patterns can be identified as well. Real-time traffic data regarding a driving road of a community can be received and analyzed to determine whether the real-time traffic data match with a pre-traffic jam pattern. If the data matches a pre-traffic jam pattern, an alerting signal for predicting a traffic jam can be transmitted.

Abstract: Embodiments of the present disclosure relate to object detection in an image. In an embodiment, a computer-implemented method is disclosed. According to the method, image data representing a scene is obtained and sound distribution information related to the scene is obtained. A detection strategy to be applied in object detection is determined based on the sound distribution information. The object detection is performed on the image data by applying the detection strategy. In other embodiments, a system and a computer program product are disclosed.

Abstract: A computer-implemented method for utilizing external knowledge and memory networks in a question-answering system includes receiving, from a search engine of a question-answering system, one or more search results based on a search query associated with a question submitted via a user interface associated with a computing device, analyzing the one or more search results to generate search evidence as a source of external knowledge for generating an answer to the question, the search evidence including one or more titles and one or more corresponding text snippets, encoding the search evidence and the search query to generate vectors stored in a memory network, obtaining a final vector representation based on the encoding, and decoding the final vector representation to obtain the answer to the question.

Abstract: Techniques for generating a personality trait model are described. According to an example, a system is provided that can generate text data and linguistic data, and apply psycholinguistic data to the text data and the linguistic data, resulting in updated text data and updated linguistic data. The system is further operable to combine the updated text data with the updated linguistic data to generate a personality trait model. In various embodiments, the personality trait model can be trained and updated as additional data is received from various inputs.

Abstract: Techniques are described that facilitate automatically distinguishing between different expressions of a same or similar emotion. In one embodiment, a computer-implemented is provided that comprises partitioning, by a device operatively coupled to a processor, a data set comprising facial expression data into different clusters of the facial expression data based on one or more distinguishing features respectively associated with the different clusters, wherein the facial expression data reflects facial expressions respectively expressed by people. The computer-implemented method can further comprise performing, by the device, a multi-task learning process to determine a final number of the different clusters for the data set using a multi-task learning process that is dependent on an output of an emotion classification model that classifies emotion types respectively associated with the facial expressions.

Abstract: Techniques for generating a personality trait model are described. According to an example, a system is provided that can generate text data and linguistic data, and apply psycholinguistic data to the text data and the linguistic data, resulting in updated text data and updated linguistic data. The system is further operable to combine the updated text data with the updated linguistic data to generate a personality trait model. In various embodiments, the personality trait model can be trained and updated as additional data is received from various inputs.

Abstract: The invention relates to a silicon-based micro-machined vibratory gyroscope with an I-shaped structure, which is a measuring instrument used for measuring the angular rate perpendicular to a base, and comprises a top monocrystalline silicon, a middle monocrystalline silicon, and a bottom monocrystalline silicon; the top monocrystalline silicon being arranged with signal input and output lines is the silicon micro gyroscope packaged cover plate; the middle monocrystalline silicon is where the gyroscope mechanical structures are fabricated; the bottom monocrystalline silicon is a gyroscope substrate with fixed pedestals; the middle monocrystalline silicon layer is sealed in a closed cavity formed by top and bottom monocrystalline silicon layers.

Abstract: Disclosed is a camera module that comprises a lens assembly that includes a lens base and a lens tube integrated with the lens base for receiving at least one lens; and a voice coil motor assembly for driving the lens assembly, comprising a base, two leaf springs, at least two coils, and at least two magnets. The coils are respectively fixed on two opposite sides of the base, the magnets are fixed on two opposite sides of the lens assembly respectively, and the magnets are located by inner sides of the coils respectively, the lens assembly is clamped by the leaf springs and supported on the base, the coils drive the magnets and the lens assembly to move after being energized. The camera module is simply structured, easy to assembly, less bulky and fit for the demand of thin products.

Abstract: Techniques are provided for generating recommended query terms that are specialized to a topic of desired information based on a query associated with a user. In one example, a computer-implemented method comprising selecting, by a system operatively coupled to a processor, a coarse cluster of corpus terms having a defined relatedness to a query associated with a user from a plurality of coarse clusters of corpus terms; and determining, by the system, a plurality of candidate terms from search results associated with the query. The computer-implemented method can also comprise determining, by the system, at least one recommended query term based on refined clusters of the coarse cluster, the candidate terms, and the query; and displaying, by the system, the at least one recommended query term on a display device associated with the query.

Abstract: A computer-implemented method for utilizing external knowledge and memory networks in a question-answering system includes receiving, from a search engine of a question-answering system, one or more search results based on a search query associated with a question submitted via a user interface associated with a computing device, analyzing the one or more search results to generate search evidence as a source of external knowledge for generating an answer to the question, the search evidence including one or more titles and one or more corresponding text snippets, encoding the search evidence and the search query to generate vectors stored in a memory network, obtaining a final vector representation based on the encoding, and decoding the final vector representation to obtain the answer to the question.

Abstract: Speech recognition is performed by receiving a speech signal that includes spoken phones. A dynamic time warping procedure is applied to the received speech signal to generate a time-warped signal. The time-warped signal is compared to a plurality of stored reference patterns to identify a set of stored reference patterns that are most similar to the time-warped signal. A candidate hot word is selected from a list using the identified set of stored reference patterns. The selection of the candidate hot word is then refined.

Abstract: Techniques are described that facilitate automatically distinguishing between different expressions of a same or similar emotion. In one embodiment, a computer-implemented is provided that comprises partitioning, by a device operatively coupled to a processor, a data set comprising facial expression data into different clusters of the facial expression data based on one or more distinguishing features respectively associated with the different clusters, wherein the facial expression data reflects facial expressions respectively expressed by people. The computer-implemented method can further comprise performing, by the device, a multi-task learning process to determine a final number of the different clusters for the data set using a multi-task learning process that is dependent on an output of an emotion classification model that classifies emotion types respectively associated with the facial expressions.

Abstract: According to an embodiment of the present invention, a computer-implemented method for modeling text-to-articulatory movement conversion is provided. In the method, text features are generated for a plurality of texts, wherein the text feature comprises a phoneme. Articulatory features are determined for the plurality of texts from a plurality of audio signals and a plurality of visual signals, wherein the audio signals record speeches of the plurality of texts, the visual signals record three-dimensional images of an articulator when speaking the plurality of texts, and the articulatory features indicate articulatory positions of the articulator in the speeches. A text-to-articulatory movement model is established with the text features as inputs and the articulatory features as outputs.

Abstract: Techniques are described that facilitate automatically distinguishing between different expressions of a same or similar emotion. In one embodiment, a computer-implemented is provided that comprises partitioning, by a device operatively coupled to a processor, a data set comprising facial expression data into different clusters of the facial expression data based on one or more distinguishing features respectively associated with the different clusters, wherein the facial expression data reflects facial expressions respectively expressed by people. The computer-implemented method can further comprise performing, by the device, a multi-task learning process to determine a final number of the different clusters for the data set using a multi-task learning process that is dependent on an output of an emotion classification model that classifies emotion types respectively associated with the facial expressions.

Abstract: An aqueous composition for making lithium ion battery electrodes comprising (a) one or more polymers, (b) one or more polyvinyl alcohols, and (c) one or more water-soluble cellulose derivatives. Also, a method of making an electrode comprising (i) providing an aqueous slurry comprising (a) one or more polymers, (b) one or more polyvinyl alcohols, (c) one or more water-soluble cellulose derivatives, and (d) one or more conductive material; (ii) forming a layer of said slurry on a metal substrate; and (iii) drying said layer of said slurry. Also, an electrode comprising ingredients (a) through (d).