Abstract: Various embodiments of the present technology generally relate to robotic devices and artificial intelligence. More specifically, some embodiments relate to an artificial neural network training method that does not require extensive training data or time expenditure. The few-shot training model disclosed herein includes attempting to pick up items and, in response to a failed pick up attempt, transferring and generalizing information to similar regions to improve probability of success in future attempts. In some implementations, the training method is used to robotic device for picking items from a bin and perturbing items in a bin. When no picking strategies with high probability of success exist, the robotic device may perturb the contents of the bin to create new available pick-up points. In some implementations, the device may include one or more computer-vision systems.

Abstract: A lock, a vehicle parking system, and a vehicle parking method are provided. The lock includes a main body, a lock switch, a lock controller, a lock communication circuit, and a battery. The battery is connected to the lock switch, the lock controller, and the lock communication circuit, and configured to supply electrical energy to the lock switch, the lock controller, and the lock communication circuit. The lock communication circuit is connected to the lock controller, and transmits a locking instruction or an unlocking instruction to the lock controller when receiving the locking instruction or the unlocking instruction from a second device located outside the lock. The lock controller is connected to the lock switch connected to the main body, and the lock controller controls, when receiving the locking instruction or the unlocking instruction, the main body to perform a locking operation or an unlocking operation through the lock switch.

Abstract: A detection device includes a frame, a transport mechanism, detection mechanisms, and a grasping mechanism. The transport mechanism includes a feeding line, a first flow line, and a second flow line arranged in parallel on the frame. The detection mechanisms are arranged on the frame and located on two sides of the transport mechanism. The grasping mechanism is arranged on the frame and used to transport workpieces on the feeding line to the detection mechanisms, transport qualified workpieces to the first flow line, and transport unqualified workpieces to the second flow line.

Abstract: A dynamic modular neural network (DMNN) for NOx emission prediction in MSWI process is provided. First, the input variables are smoothed and normalized. Then, a feature extraction method based on principal component analysis (PCA) was designed to realize the dynamic division of complex conditions, and the prediction task to be processed was decomposed into sub-tasks under different conditions. In addition, aiming each sub-tasks, a long short-term memory (LSTM)-based sub-network is constructed to achieve accurate prediction of NOx emissions under various working conditions. Finally, a cooperative strategy is used to integrate the output of the sub-networks, further improving the accuracy of prediction model. Finally, merits of the proposed DMNN are confirmed on a benchmark and real industrial data of a municipal solid waste incineration (MSWI) process. The problem that the NOx emission of MSWI process is difficult to be accurately predicted due to the sensor limitation is effectively solved.

Abstract: A first device is logged in with a first user account. The first device displays an avatar of a second user account in a first user interface of the first device. In response to an interaction instruction triggered on the avatar of the second user account, the first device generates an interaction message according to a first field corresponding to the first user account, an action description field corresponding to the interaction instruction, and a second field corresponding to the second user account. The first device transmits the interaction message to a second device that is logged in with the second user account.

Abstract: A deep-learning method and systems for analyzing optical coherence tomography (OCT) images based on a convolutional neural network are provided. The method includes extracting a feature from one or more three-dimensional OCT volumetric scan images and classifying the OCT images with respect to diabetic macular edema (DME) based on results the feature extracted. The step of extracting a feature from one or more three-dimensional OCT volumetric scan images is performed by a neural network such as a neural network based on a ResNet-34 architecture. The method can further include extracting a feature from one or more two-dimensional (2D) OCT B-scan images and classifying the OCT images with respect to DME based on results of the 2D feature extracted. The step of extracting a feature from one or more 2D OCT B-scan images is performed by a neural network such as a neural network based on a ResNet-18 architecture.

Abstract: Various embodiments of the present technology generally relate to robotic devices and artificial intelligence. More specifically, some embodiments relate to an artificial neural network training method that does not require extensive training data or time expenditure. The few-shot training model disclosed herein includes attempting to pick up items and, in response to a failed pick up attempt, transferring and generalizing information to similar regions to improve probability of success in future attempts. In some implementations, the training method is used to robotic device for picking items from a bin and perturbing items in a bin. When no picking strategies with high probability of success exist, the robotic device may perturb the contents of the bin to create new available pick-up points. In some implementations, the device may include one or more Computer-vision systems.

Abstract: Aspects described herein relate to a picture display methods, systems, and products. An illustrative method is performed by the electronic device and can be applied to fields such as cloud technology or intelligent transportation. The method may include: receiving, from a target instance of a plurality of instances executed on a server, a request for information associated with a primary display of a plurality of displays; generating, based on the target instance corresponding to a non-primary display of the at least one non-primary display, virtual display information that simulates the corresponding non-primary display as a primary display for the target instance; sending the virtual display information to the target instance, wherein the virtual display information is configured to enable the target instance to identify the non-primary display as the primary display for the target instance; and generating a rendered picture for the corresponding non-primary display.

Abstract: In a method for resource management, a plurality of application processes is received. At least a processor is allocated to the plurality of application processes. For each of the plurality of application processes allocated to the processor, a quantity of remaining available resources for the respective application process in current predetermined resources of the processor is determined. The quantity of remaining available resources is associated with a quantity of remaining available resources for the respective application process in previous predetermined resources of the processor. A resource allocation command for each of the plurality of application processes is determined based on the quantity of remaining available resources for the respective application process in the current predetermined resources. The resource allocation command indicates whether the respective application process is processed.

Abstract: A quick assembly bicycle stem structure includes a front fork stem, a handlebar stem having a zigzag-shaped slot opening formed at a lower end thereof that is received in an upper section of the front fork stem, the zigzag-shaped slot opening including a first vertical slot and a second vertical slot that are spaced apart in relation to one another, a pin bolt coupled to the front fork stem and extending into the zigzag-shaped slot opening of the handlebar stem, the pin bolt configured to travel within the zigzag-shaped slot opening and to enter the second vertical slot from the first vertical slot when the front fork stem is rotated relative to the handlebar stem, and a nut assembly received over the handlebar stem and configured to threadedly engage the upper section of the front fork stem.

Abstract: A detection device includes a frame, a transport mechanism, detection mechanisms, and a grasping mechanism. The transport mechanism includes a feeding line, a first flow line, and a second flow line arranged in parallel on the frame. The detection mechanisms are arranged on the frame and located on two sides of the transport mechanism. The grasping mechanism is arranged on the frame and used to transport workpieces on the feeding line to the detection mechanisms, transport qualified workpieces to the first flow line, and transport unqualified workpieces to the second flow line.

Abstract: The invention relates to a T cell expressing an antibody or comprising the coding sequence of the antibody or an expression vector thereof; the antibody contains an optional signal peptide, an antigen binding sequence and a mutant type Fc segment, wherein the mutant type Fc segment is a Fc segment in which amino acid residues at the 17th site and the 79th site of the IgG4 Fc segment shown by SEQ ID NO: 25 are mutated into E and Q respectively. Preferably, the T cell is a CAR-T cell. The present invention further relates to a treatment application of the T cell in malignant tumors.

Abstract: A quick assembly bicycle stem structure includes a front fork stem, a handlebar stem having a zigzag-shaped slot opening formed at a lower end thereof that is received in an upper section of the front fork stem, the zigzag-shaped slot opening including a first vertical slot and a second vertical slot that are spaced apart in relation to one another, a pin bolt coupled to the front fork stem and extending into the zigzag-shaped slot opening of the handlebar stem, the pin bolt configured to travel within the zigzag-shaped slot opening and to enter the second vertical slot from the first vertical slot when the front fork stem is rotated relative to the handlebar stem, and a nut assembly received over the handlebar stem and configured to threadedly engage the upper section of the front fork stem.

Abstract: Techniques are provided that pumping of deep traps in GaN electronic devices using photons from an on-chip photon source. In various embodiments, a method for optical pumping of deep traps in GaN HEMTs is provided using an on-chip integrated photon source that is configured to generate photons during operation of the HEMT. In an aspect, the on-chip photon source is a SoH-LED. In various additional embodiments, an integration scheme is provided that integrates the photon source into the drain electrode of a HEMT, thereby converting the conventional HEMT with an ohmic drain to a transistor with hybrid photonic-ohmic drain (POD), a POD transistor or PODFET for short.

Abstract: Techniques for block-based indexing are described. In one embodiment, for example, an apparatus may comprise a multicore processor element, an assignment component for execution by the multicore processor element to generate a plurality of block-attribute pairs, each block-attribute pair corresponding to an attribute value and one of a plurality of data blocks, and an indexing component for execution by the multicore processor element to generate an index block for the plurality of data blocks based on the plurality of block-attribute pairs, the indexing component to perform parallel indexing of the plurality of block-attribute pairs using multiple indexing instances. Other embodiments are described and claimed.

Abstract: The invention discloses a device for a browser to process a page element comprising: at least one DOM object processor disposed at the browser side, each DOM object processor being configured to store a customized processing of a specific DOM object; a page parser configured to load an obtained page at the browser side, parse page elements of the obtained page, and convert each page element into a DOM object; a DOM processor coupled to the page parser and the at least one DOM object processor, and configured to invoke the at least one DOM object processor to perform a customized processing on at least one of converted DOM objects. By employing the invention, a personalized customization can be performed to a page according to the user needs. The invention further discloses a corresponding method.

Abstract: Techniques are provided that pumping of deep traps in GaN electronic devices using photons from an on-chip photon source. In various embodiments, a method for optical pumping of deep traps in GaN HEMTs is provided using an on-chip integrated photon source that is configured to generate photons during operation of the HEMT. In an aspect, the on-chip photon source is a SoH-LED. In various additional embodiments, an integration scheme is provided that integrates the photon source into the drain electrode of a HEMT, thereby converting the conventional HEMT with an ohmic drain to a transistor with hybrid photonic-ohmic drain (POD), a POD transistor or PODFET for short.

Abstract: The present invention discloses a method, a system and a program for a browser to switch an IE Kernel which may be able to solve the problems of compatibility and adaptability of the browser kernel. The method comprises: generating a first IE kernel file and a second IE kernel file, and import them into a browser client; the browser process determining a currently adapted IE kernel version according to Uniform Resource Locator (URL) information submitted by a user; if the currently adapted IE kernel version is the first IE kernel, the browser process being redirected to a corresponding location to load the first IE kernel file; if the currently adapted IE kernel version is the second IE kernel, the browser process being redirected to a corresponding location to load the second IE kernel file.

Abstract: Techniques for block-based indexing are described. In one embodiment, for example, an apparatus may comprise a multicore processor element, an assignment component for execution by the multicore processor element to generate a plurality of block-attribute pairs, each block-attribute pair corresponding to an attribute value and one of a plurality of data blocks, and an indexing component for execution by the multicore processor element to generate an index block for the plurality of data blocks based on the plurality of block-attribute pairs, the indexing component to perform parallel indexing of the plurality of block-attribute pairs using multiple indexing instances. Other embodiments are described and claimed.

Abstract: The invention discloses a device for a browser to process a page element comprising: at least one DOM object processor disposed at the browser side, each DOM object processor being configured to store a customized processing of a specific DOM object; a page parser configured to load an obtained page at the browser side, parse page elements of the obtained page, and convert each page element into a DOM object; a DOM processor coupled to the page parser and the at least one DOM object processor, and configured to invoke the at least one DOM object processor to perform a customized processing on at least one of converted DOM objects. By employing the invention, a personalized customization can be performed to a page according to the user needs. The invention further discloses a corresponding method.