Abstract: The disclosure relates to resource recycling, and more particularly to a green and efficient method for recycling waste aramid-mica composite paper. The method includes: dissolution of aramid-mica composite paper scraps, separation of mica flakes; phase separation, filtration, recycling of organic solvent and collection of aramid fiber.

Abstract: The present invention discloses a method for producing unidirectional hybrid-braided fabrics, including: preparing a first layer of 0° warps; preparing a second layer of 0° warps to a Nth layer of 0° warps; preparing an auxiliary layer of wefts; preparing binding yarns; laying and hybrid-braiding the materials prepared in steps 1-4 to obtain unidirectional hybrid-braided fabrics; and cutting and winding. The 0° warps and wefts of the invention are made of two or more layers of different fibers that are laid in a single direction and finally hybrid-braided. Therefore, two or more different types of materials can be laid, thereby ensuring the uniform distribution and thickness of the fibers in different areas of the hybrid-braided fabric. The grammage of different 0° warp fiber layers can be adjusted freely in a range of 30-3000 grams/m2, thereby realizing performance and cost designability of a composite material.

Abstract: Architecture that addresses page information lost as part of a selection process in a search engine framework. An aggregation process collects all page or document information from the same image cluster and uses the aggregated page information to annotate one or more selected image-page pairs within the same image cluster. Once the entire set of descriptive terms is received, the entire set of descriptive terms or only an optimum set of top N descriptive terms of the entire set is for annotation of one or more of the representative images in the cluster.

Abstract: Architecture that addresses page information lost as part of a selection process in a search engine framework. An aggregation process collects all page or document information from the same image cluster and uses the aggregated page information to annotate one or more selected image-page pairs within the same image cluster. Once the entire set of descriptive terms is received, the entire set of descriptive terms or only an optimum set of top N descriptive terms of the entire set is for annotation of one or more of the representative images in the cluster.

Abstract: The present invention discloses a method for producing unidirectional hybrid-braided fabrics, including: preparing a first layer of 0° warps; preparing a second layer of 0° warps to a Nth layer of 0° warps; preparing an auxiliary layer of wefts; preparing binding yarns; laying and hybrid-braiding the materials prepared in steps 1-4 to obtain unidirectional hybrid-braided fabrics; and cutting and winding. The 0° warps and wefts of the invention are made of two or more layers of different fibers that are laid in a single direction and finally hybrid-braided. Therefore, two or more different types of materials can be laid, thereby ensuring the uniform distribution and thickness of the fibers in different areas of the hybrid-braided fabric. The grammage of different 0° warp fiber layers can be adjusted freely in a range of 30-3000 grams/m2, thereby realizing performance and cost designability of a composite material.

Abstract: Architecture that addresses page information lost as part of a selection process in a search engine framework. An aggregation process collects all page or document information from the same image cluster and uses the aggregated page information to annotate one or more selected image-page pairs within the same image cluster. Once the entire set of descriptive terms is received, the entire set of descriptive terms or only an optimum set of top N descriptive terms of the entire set is for annotation of one or more of the representative images in the cluster.

Abstract: Architecture that addresses page information lost as part of a selection process in a search engine framework. An aggregation process collects all page or document information from the same image cluster and uses the aggregated page information to annotate one or more selected image-page pairs within the same image cluster. Once the entire set of descriptive terms is received, the entire set of descriptive terms or only an optimum set of top N descriptive terms of the entire set is for annotation of one or more of the representative images in the cluster.

Abstract: Provided is a magnetron source, which comprises a target material, a magnetron located thereabove and a scanning mechanism connected to the magnetron for controlling the movement of the magnetron above the target material. The scanning mechanism comprises a peach-shaped track, with the magnetron movably disposed thereon; a first driving shaft, with the bottom end thereof connected with the origin of the polar coordinates of the peach-shaped track, for driving the peach-shaped track to rotate about the axis of the first driving shaft; a first driver connected to the first driving shaft for driving the first driving shaft to rotate; and a second driver for driving the magnetron to move along the peach-shaped track via a transmission assembly. A magnetron sputtering device including the magnetron and a method for magnetron sputtering using the magnetron sputtering device are also provided.

Abstract: Architecture that addresses page information lost as part of a selection process in a search engine framework. An aggregation process collects all page or document information from the same image cluster and uses the aggregated page information to annotate one or more selected image-page pairs within the same image cluster. Once the entire set of descriptive terms is received, the entire set of descriptive terms or only an optimum set of top N descriptive terms of the entire set is for annotation of one or more of the representative images in the cluster.

Abstract: A power supply device of an emergency light, including: an AC-DC converting module, a charging managing circuit, an emergency battery, a power failure detection circuit and a power failure switching circuit, wherein the input terminal of the AC-DC converting module is connected to a commercial AC power supply via a power switch, the output terminal of the AC-DC converting module is connected respectively to a Light Emitting Diode (LED) lamp and the input terminal of the charging management circuit, the output terminal of the charging management circuit is connected in parallel with the emergency battery, the two input terminals of the power failure detection circuit are connected to the commercial AC power supply via a coupling capacitor, the output terminal of the power failure detection circuit is connected to the input terminal of the power failure switching circuit, the power supply terminal of the power failure switching circuit is connected to the emergency battery, and the output terminal of the power

Abstract: Architecture that performs image page index selection. A learning-based framework learns a statistical model based on the hyperlink (URL-uniform resource locator) previous click information obtained from the image search users. The learned model can combine the features of a newly discovered URL to predict the possibility of the newly-discovered URL being clicked in the future image search. In addition to existing web index selection features, image clicks are added as features, and the image clicks are aggregated over different URL segments, as well as the site modeling pattern trees to reduce the sparse problem of the image click information.

Abstract: This document describes techniques that utilize a learning method to generate a ranking model for use in image search systems. The techniques leverage textual information and visual information simultaneously when generating the ranking model. The tools are further configured to apply the ranking model responsive to receiving an image search query.

Abstract: Attractiveness of an image may be estimated by integrating extracted visual features with contextual cues pertaining to the image. Image attractiveness may be defined by the visual features (e.g., perceptual quality, aesthetic sensitivity, and/or affective tone) of elements contained within the image. Images may be indexed based on the estimated attractiveness, search results may be presented based on image attractiveness, and/or a user may elect, after receiving image search results, to re-rank the image search results by attractiveness.

Abstract: Architecture that performs image page index selection. A learning-based framework learns a statistical model based on the hyperlink (URL-uniform resource locator) previous click information obtained from the image search users. The learned model can combine the features of a newly discovered URL to predict the possibility of the newly-discovered URL being clicked in the future image search. In addition to existing web index selection features, image clicks are added as features, and the image clicks are aggregated over different URL segments, as well as the site modeling pattern trees to reduce the sparse problem of the image click information.

Abstract: Provided is a magnetron source, which comprises a target material, a magnetron located thereabove and a scanning mechanism connected to the magnetron for controlling the movement of the magnetron above the target material. The scanning mechanism comprises a peach-shaped track, with the magnetron movably disposed thereon; a first driving shaft, with the bottom end thereof connected with the origin of the polar coordinates of the peach-shaped track, for driving the peach-shaped track to rotate about the axis of the first driving shaft; a first driver connected to the first driving shaft for driving the first driving shaft to rotate; and a second driver for driving the magnetron to move along the peach-shaped track via a transmission assembly. A magnetron sputtering device including the magnetron and a method for magnetron sputtering using the magnetron sputtering device are also provided.

Abstract: Some implementations provide techniques and arrangements to perform image retrieval. For example, some implementations identify an object of interest and a visual context in a first image. In some implementations, a second image that includes a second object of interest and a second visual context may be compared to the object of interest and the visual content, respectively, to determine whether the second image matches the first image.

Abstract: Some implementations provide techniques and arrangements to perform image retrieval. For example, some implementations identify an object of interest and a visual context in a first image. In some implementations, a second image that includes a second object of interest and a second visual context may be compared to the object of interest and the visual content, respectively, to determine whether the second image matches the first image.

Abstract: Techniques described herein create an accurate active-learning model that takes into account a sample selection bias of elements, such as images, selected for labeling by a user. These techniques select a first set of elements for labeling. Once a user labels these elements, the techniques calculate a sample selection bias of the selected elements and train a model that takes into account the sample selection bias. The techniques then select a second set of elements based, in part, on a sample selection bias of the elements. Again, once a user labels the second set of elements the techniques train the model while taking into account the calculated sample selection bias. Once the trained model satisfies a predefined stop condition, the techniques use the trained model to predict labels for the remaining unlabeled elements.

Abstract: An adaptation process is described to adapt a ranking model constructed for a broad-based search engine for use with a domain-specific ranking model. An example process identifies a ranking model for use with a broad-based search engine and modifies that ranking model for use with a new (or “target”) domain containing information pertaining to a specific topic.

Abstract: This document describes techniques that utilize a learning method to generate a ranking model for use in image search systems. The techniques leverage textual information and visual information simultaneously when generating the ranking model. The tools are further configured to apply the ranking model responsive to receiving an image search query.