Abstract: Disclosed herein is a herbicidal composition, comprising an active component A and an active component B, wherein the active component B is one selected from the group consisting of glufosinate-ammonium, glufosinate-P-ammonium, oxyfluorfen, acetoflufen, imazethapyr, dimethoxamide, dimethoxamid-P, metolachlor, S-metolachlor, butachlor, acetochlor, pyroxasulfone, glyphosate and derivatives thereof.

Abstract: A heat dissipation structure (2) for a lighting device (1) is provided. The heat dissipation structure comprises at least two separate heat sinks (20, 10) for a light source (3) and a driver (7) for the light source, respectively. Each heat sink comprises fins (11, 21, 22) and a wall arrangement (15, 25). The at least two separate heat sinks are disposed along an axial direction of the lighting device. The fins of the at least two separate heat sinks are enclosed by the wall arrangements to form a chimney structure (30) arranged along (such as substantially parallel with) the axial direction of the lighting device. Further, the chimney structure comprises at least two sub-chimney structures (31, 32) arranged fluidly in parallel. The sub-chimney structures provide (accelerate) two air flows in parallel within the chimney structure, whereby cool air flows through the two sub-chimney structures simultaneously, which reduces heat concatenation.

Abstract: A heat dissipation structure (2) for a lighting device (1) is provided. The heat dissipation structure comprises at least two separate heat sinks (20, 10) for a light source (3) and a driver (7) for the light source, respectively. Each heat sink comprises fins (11, 21, 22) and a wall arrangement (15, 25). The at least two separate heat sinks are disposed along an axial direction of the lighting device. The fins of the at least two separate heat sinks are enclosed by the wall arrangements to form a chimney structure (30) arranged along (such as substantially parallel with) the axial direction of the lighting device. Further, the chimney structure comprises at least two sub-chimney structures (31, 32) arranged fluidly in parallel. The sub-chimney structures provide (accelerate) two air flows in parallel within the chimney structure, whereby cool air flows through the two sub-chimney structures simultaneously, which reduces heat concatenation.

Abstract: A heat dissipation structure (2) for a lighting device (1), comprising: at least two separate heat sinks (20, 10) for a light source (3) and a driver (7) for the light source (1), respectively, each heat sink (20, 10) comprising fins (21, 22, 11) and a wall arrangement (15, 25), wherein said at least two separate heat sinks (20, 10) are disposed along an axial direction of the lighting device (1), wherein the fins (21, 22, 11) of said at least two separate heat sinks (20, 10) are enclosed by the wall arrangements (15, 25) to form a chimney structure (30) arranged along said axial direction of the lighting device (1), and wherein the chimney structure (30) comprises at least two sub-chimney structures (31, 32) arranged fluidly in parallel to provide two air flows simultaneously, which reduces heat concatenation.

Abstract: A Deep Neural Network (DNN) model used in an Automatic Speech Recognition (ASR) system is restructured. A restructured DNN model may include fewer parameters compared to the original DNN model. The restructured DNN model may include a monophone state output layer in addition to the senone output layer of the original DNN model. Singular value decomposition (SVD) can be applied to one or more weight matrices of the DNN model to reduce the size of the DNN Model. The output layer of the DNN model may be restructured to include monophone states in addition to the senones (tied triphone states) which are included in the original DNN model. When the monophone states are included in the restructured DNN model, the posteriors of monophone states are used to select a small part of senones to be evaluated.

Abstract: A Deep Neural Network (DNN) model used in an Automatic Speech Recognition (ASR) system is restructured. A restructured DNN model may include fewer parameters compared to the original DNN model. The restructured DNN model may include a monophone state output layer in addition to the senone output layer of the original DNN model. Singular value decomposition (SVD) can be applied to one or more weight matrices of the DNN model to reduce the size of the DNN Model. The output layer of the DNN model may be restructured to include monophone states in addition to the senones (tied triphone states) which are included in the original DNN model. When the monophone states are included in the restructured DNN model, the posteriors of monophone states are used to select a small part of senones to be evaluated.

Abstract: A method for selecting a product to display on a webpage of an e-commerce website. Online user behavior data associated with a plurality of merchants selling products on the webpage is obtained. The behavior data is user actions performed online with respect to merchants. The behavior data is analyzed to determine a most relevant group of the users for each merchant. The most relevant group is compared to a targeted group of the webpage to determine a rate of overlap for each merchant. The rate of overlap represents a percentage of the most relevant group that matches the targeted group. A top merchant is selected based on the highest rate of overlap. A top product being sold by the top merchant is selected to display on the webpage. The top product is displayed on the webpage of the e-commerce web site to an end user.

Abstract: Providing a framework for merging automatic speech recognition (ASR) systems having a shared deep neural network (DNN) feature transformation is provided. A received utterance may be evaluated to generate a DNN-derived feature from the top hidden layer of a DNN. The top hidden layer output may then be utilized to generate a network including a bottleneck layer and an output layer. Weights representing a feature dimension reduction may then be extracted between the top hidden layer and the bottleneck layer. Scores may then be generated and combined to merge the ASR systems which share the DNN feature transformation.

Abstract: The adaptation and personalization of a deep neural network (DNN) model for automatic speech recognition is provided. An utterance which includes speech features for one or more speakers may be received in ASR tasks such as voice search or short message dictation. A decomposition approach may then be applied to an original matrix in the DNN model. In response to applying the decomposition approach, the original matrix may be converted into multiple new matrices which are smaller than the original matrix. A square matrix may then be added to the new matrices. Speaker-specific parameters may then be stored in the square matrix. The DNN model may then be adapted by updating the square matrix. This process may be applied to all of a number of original matrices in the DNN model. The adapted DNN model may include a reduced number of parameters than those received in the original DNN model.

Abstract: Providing a framework for merging automatic speech recognition (ASR) systems having a shared deep neural network (DNN) feature transformation is provided. A received utterance may be evaluated to generate a DNN-derived feature from the top hidden layer of a DNN. The top hidden layer output may then be utilized to generate a network including a bottleneck layer and an output layer. Weights representing a feature dimension reduction may then be extracted between the top hidden layer and the bottleneck layer. Scores may then be generated and combined to merge the ASR systems which share the DNN feature transformation.

Abstract: The adaptation and personalization of a deep neural network (DNN) model for automatic speech recognition is provided. An utterance which includes speech features for one or more speakers may be received in ASR tasks such as voice search or short message dictation. A decomposition approach may then be applied to an original matrix in the DNN model. In response to applying the decomposition approach, the original matrix may be converted into multiple new matrices which are smaller than the original matrix. A square matrix may then be added to the new matrices. Speaker-specific parameters may then be stored in the square matrix. The DNN model may then be adapted by updating the square matrix. This process may be applied to all of a number of original matrices in the DNN model. The adapted DNN model may include a reduced number of parameters than those received in the original DNN model.

Abstract: A heat dissipation structure (2) for a lighting device (1), comprising: at least two separate heat sinks (20, 10) for a light source (3) and a driver (7) for the light source (1), respectively, each heat sink (20, 10) comprising fins (21, 22, 11) and a wall arrangement (15, 25), wherein said at least two separate heat sinks (20, 10) are disposed along an axial direction of the lighting device (1), wherein the fins (21, 22, 11) of said at least two separate heat sinks (20, 10) are enclosed by the wall arrangements (15, 25) to form a chimney structure (30) arranged along said axial direction of the lighting device (1), and wherein the chimney structure (30) comprises at least two sub-chimney structures (31, 32) arranged fluidly in parallel to provide two air flows simultaneously, which reduces heat concatenation.

Abstract: A Deep Neural Network (DNN) model used in an Automatic Speech Recognition (ASR) system is restructured. A restructured DNN model may include fewer parameters compared to the original DNN model. The restructured DNN model may include a monophone state output layer in addition to the senone output layer of the original DNN model. Singular value decomposition (SVD) can be applied to one or more weight matrices of the DNN model to reduce the size of the DNN Model. The output layer of the DNN model may be restructured to include monophone states in addition to the senones (tied triphone states) which are included in the original DNN model. When the monophone states are included in the restructured DNN model, the posteriors of monophone states are used to select a small part of senones to be evaluated.

Abstract: A vacuum cleaner having an elongate body portion 11 which is mounted at its lower end via a neck 15 to the rear of a wheeled floor-engaging head portion 10, the body 11 being pivotable in use relative to the head about a first axis A1 for movement upwardly and downwardly and about a second orthogonal axis A2 for movement from side-to-side. A catch 17 is disposed on the neck 15 for preventing pivotal movement of the body 11 about the second axis A2 when the body 11 is disposed in its most upright position. The provision of the catch 17 improves the stability of the cleaner when the cleaner is not in use or when it is being used for above floor cleaning.

Abstract: A vacuum cleaner comprises an elongate upright body 11 pivotally connected to a floor-engaging foot 10 comprising a motor and fan unit 17 for creating an airflow through the cleaner, the airflow extending between respective ducts 32, 18 in the body 11 and the foot 10 along a neck 20, which is rotatably connected at its lower end to the duct 18 in the foot 10 for rotation about an axis A which extends transversely of the foot 10. The neck 20 acts to support the body 11 on the foot 10 and acts as the point about which relative pivotal movement of the body 10 and foot 11 occurs. An arm 40 is coupled to the neck 20 for actuating a mechanism, which lifts the foot 10 away from the floor surface when the body 10 is in the upright position, so as to prevent the rotating agitator brush 16 in the foot 10 from damaging the floor surface while the cleaner is stood in the upright position when performing above-floor cleaning.

Abstract: The invention provides a lighting device comprising a light source unit (50), a ventilator unit (30) and a heat dissipating unit (40), wherein the heat dissipating unit comprises a main body (400) having a first surface (401) and a second surface (402), at least one first aperture (403), at least one second aperture (404) and a first set of fins (405) attached to the second surface. The at least one first aperture is formed by perforating the first surface and the second surface, and the at least one second aperture is located around the at least one first aperture at a distance therefrom. At least one fin is configured in arc shape extending from the first aperture toward the second aperture and the ventilator unit is positioned to cover at least part of the fins. Thus, the heat dissipating efficiency is improved because a greater airflow passes through the heat dissipating unit due to a high flow speed resulting from the low resistance.

Abstract: A vacuum cleaner having an elongate body portion 11 which is mounted at its lower end via a neck 15 to the rear of a wheeled floor-engaging head portion 10, the body 11 being pivotable in use relative to the head about a first axis A1 for movement upwardly and downwardly and about a second orthogonal axis A2 for movement from side-to-side. A catch 17 is disposed on the neck 15 for preventing pivotal movement of the body 11 about the second axis A2 when the body 11 is disposed in its most upright position. The provision of the catch 17 improves the stability of the cleaner when the cleaner is not in use or when it is being used for above floor cleaning.

Abstract: A vacuum cleaner comprises an elongate upright body 11 pivotally connected to a floor-engaging foot 10 comprising a motor and fan unit 17 for creating an airflow through the cleaner, the airflow extending between respective ducts 32,18 in the body 11 and the foot 10 along a neck 20, which is rotatably connected at its lower end to the duct 18 in the foot 10 for rotation about an axis A which extends transversely of the foot 10. The neck 20 acts to support the body 11 on the foot 10 and acts as the point about which relative pivotal movement of the body 10 and foot 11 occurs. An arm 40 is coupled to the neck 20 for actuating a mechanism, which lifts the foot 10 away from the floor surface when the body 10 is in the upright position, so as to prevent the rotating agitator brush 16 in the foot 10 from damaging the floor surface whilst the cleaner is stood in the upright position when performing above-floor cleaning.

Abstract: A vacuum cleaner includes a body having a cavity, an outlet for cleaned air, a filter removably mounted in the cavity upstream of the outlet, at least one device mounted in the body upstream of the filter for separating and collecting dirt and dust entrained in an induced airflow through the cleaner, and a closure for closing an opening in the cavity, the closure being openable for providing access to the filter and separation device through the opening. An arm extends into the cavity for engaging a formation on the filter, the latter holding the arm in a retracted position. If the filter or a component of the separation device is omitted or incorrectly inserted in the body, the arm adopts an extended position and prevents the closure from being closed. In this manner the user is immediately alerted to the fact that the filter or a component of the separation device is not correctly in-situ and remedial action can be taken.

Abstract: An exemplary apparatus for wet processing a substrate includes a wet processing system and a water supplying system. The wet processing system includes a preliminary rinsing device, a final rinsing device, and a conveyor. The preliminary rinsing device includes a first tank and a first spraying system above the first tank. The final rinsing device includes a second tank and a second spraying system above the second tank. The conveyor is configured for conveying a substrate from the preliminary rinsing device to the final rinsing device. The water supplying system includes a supply pipe configured for supplying water to the second spraying system, a connecting system communicating the second tank and the first spraying system, and a drain pipe communicating with the first tank.