Abstract: A wire tension control mechanism includes a wire feeding device, a connecting device and a wire guiding device. The connecting device includes a fixing element and a rotor. The fixing element is connected with the wire feeding device. The rotor is disposed on the fixing element and is movable relative to the fixing element. The wire guiding device is connected to the rotor.

Abstract: A method for fabricating a semiconductor device includes the steps of forming a magnetic tunneling junction (MTJ) on a MRAM region of a substrate, forming a first inter-metal dielectric (IMD) layer around the MTJ, forming a patterned mask on a logic region of the substrate, performing a nitridation process to transform part of the first IMD layer to a nitride layer, forming a first metal interconnection on the logic region, forming a stop layer on the first IMD layer, forming a second IMD layer on the stop layer, and forming a second metal intercom in the second IMD layer to connect to the MTJ.

Abstract: A method includes forming an interlayer dielectric (ILD) layer over a transistor; forming a first inter-metal dielectric (IMD) layer over the ILD layer; etching a via opening extending through the first IMD layer; forming a first 2-D material layer lining along sides and a bottom of the via opening; depositing a first metal in the via opening and over the first 2-D material layer; performing a chemical mechanism polishing (CMP) process to the first metal until the first IMD layer is exposed; forming a second IMD layer over the first IMD layer; etching a trench in the second IMD layer; forming a second 2-D material layer lining along sides and a bottom of the trench; and depositing a second metal over the second 2-D material layer at a temperature lower than a temperature of depositing the first metal over the first 2-D material layer.

Abstract: The present invention relates to an extension structure of flexible substrates with conductive wires thereon. In a first embodiment, three flexible substrates are prepared, each having multiple conductive wires configured on their front surfaces. The third flexible substrate is flipped over, with its conductive wires facing downwards, and bonded across a boundary formed by the first and second flexible substrates. As a result, the corresponding conductive wires between the first and second flexible substrates are electrically coupled with each other through being physically pressed by corresponding conductive wires in the third flexible substrate.

Abstract: An antenna module includes a first antenna layer, including at least one main radiation unit including at least two main radiation patches symmetrically arranged and spaced apart from each other and at least one feeder portion located at or corresponds to a gap between adjacent two of the main radiation patches; a second antenna layer, stacked with the first antenna layer and including a reference ground arranged opposite to the main radiation patches and at least one microstrip insulated from the reference ground; at least one first electrically conductive member, electrically connected to the main radiation patches and the reference ground; and at least one second electrically conductive member, with an end being electrically connected to the feeder portion and another end being electrically connected to another end of the microstrip. An end of the microstrip is electrically connected to a radio frequency transceiver chip.

Abstract: Behavior report generation monitors the behavior of unknown sample files executing in a sandbox. Behaviors are encoded and feature vectors created based upon a q-gram for each sample. Prototypes extraction includes extracting prototypes from the training set of feature vectors using a clustering algorithm. Once prototypes are identified in this training process, the prototypes with unknown labels are reviewed by domain experts who add a label to each prototype. A K-Nearest Neighbor Graph is used to merge prototypes into fewer prototypes without using a fixed distance threshold and then assigning a malware family name to each remaining prototype. An input unknown sample can be classified using the remaining prototypes and using a fixed distance. For the case that no such prototype is close enough, the behavior report of a sample is rejected and tagged as an unknown sample or that of an emerging malware family.

Abstract: A magnetoresistive random access memory (MRAM) device includes a first array region and a second array region on a substrate, a first magnetic tunneling junction (MTJ) on the first array region, a first top electrode on the first MTJ, a second MTJ on the second array region, and a second top electrode on the second MTJ. Preferably, the first top electrode and the second top electrode include different nitrogen to titanium (N/Ti) ratios.

Abstract: A control method of an air conditioner, includes: acquiring a temperature of injected vapor and a pressure of the injected vapor of a compressor of the air conditioner, to obtain a superheat degree of the injected vapor of the compressor of the air conditioner and a continuous duration of the superheat degree of the injected vapor; if the continuous duration is greater than or equal to a first preset value, and if an exhaust temperature of the compressor is less than a critical value of the exhaust temperature of the compressor within the continuous duration, controlling the compressor to be in a shutdown state, and if the continuous duration is less than the first preset value, and if the exhaust temperature of the compressor is less than the critical value of the exhaust temperature of the compressor within the continuous duration, controlling the compressor to remain in an operating state.

Abstract: A semiconductor device includes a magnetic tunneling junction (MTJ) on a substrate, in which the MTJ includes a pinned layer on the substrate, a reference layer on the pinned layer, a barrier layer on the reference layer, and a free layer on the barrier layer. Preferably, the free layer and the barrier layer have same width and the barrier layer and the reference layer have different widths.

Abstract: The present invention relates to an extension structure of flexible substrates with conductive wires thereon. In a first embodiment, three flexible substrates are prepared, each having multiple conductive wires configured on their front surfaces. The third flexible substrate is flipped over, with its conductive wires facing downwards, and bonded across a boundary formed by the first and second flexible substrates. As a result, the corresponding conductive wires between the first and second flexible substrates are electrically coupled with each other through being physically pressed by corresponding conductive wires in the third flexible substrate.

Abstract: A charging circuitry includes a power electronic converter, a current sensor, a voltage boost/buck controller and a charging mode controller. The power electronic converter is configured to charge or discharge a supercapacitor according to a control command. The current sensor is coupled to the supercapacitor for detecting a first sensed voltage and a second sensed voltage. The voltage boost/buck controller is configured to generate the control command and a current command according to the first and second sensed voltages and an overall feedback. The charging mode controller is configured to generate a current feedback and a voltage feedback to the voltage boost/buck controller according to a driving voltage, the current command and a third sensed voltage of the supercapacitor. The third sensed voltage, the current feedback and the voltage feedback are superposed as the overall feedback and then inputted to the same input terminal of the voltage boost/buck converter.

Abstract: Disclosed are a method and system for intelligent source tracing of organic pollution of a water body, which belongs to the technical field of environmental analytical chemistry. The method comprises: acquiring organic matter analysis and detection data from water samples of a polluted water body through high performance liquid chromatography-tandem mass spectrometry; performing high-throughput screening on the organic matter in the water samples according to said data to determine pollutants; identifying pollution sources by means of network analysis according to the determined pollutants; and according to the identified pollution sources and the organic pollutants, determining key pollutants and quantifying the pollution contributions thereof by using a machine learning classification model.

Abstract: An electronic transformer includes a first forward rectifier, a second forward rectifier, a third forward rectifier and a backward rectifier. The first forward rectifier is coupled between a first-phase power and a first output terminal. The second forward rectifier is coupled between a second-phase power and the first output terminal. The third forward rectifier is coupled between a third-phase power and the first output terminal. The backward rectifier is coupled between a neutral line and a second output terminal. The first forward rectifier, the second forward rectifier, and the third forward rectifier are configured to half-wave rectify the first-phase power, the second-phase power, and the third-phase power to generate rectified first-phase to third-phase power sources, and superimpose the rectified first-phase to third-phase power sources on the first output end to serve as an output voltage of the electronic transformer.

Abstract: A portable charging case, including an unlocking assembly and a push rod, user can push the unlocking assembly in the direction towards the storage space after the portable lighting device is fully charged. The push rod then pushes the magnetic charging device away from the portable lighting device so that the magnetic charging device disconnects from the portable lighting device. Users can take the portable lighting device out from the charging case more quickly and easily, thereby enhancing user experience for using the charging case.

Abstract: Behavior report generation monitors the behavior of unknown sample files executing in a sandbox. Behaviors are encoded and feature vectors created based upon a q-gram for each sample. Prototypes extraction includes extracting prototypes from the training set of feature vectors using a clustering algorithm. Once prototypes are identified in this training process, the prototypes with unknown labels are reviewed by domain experts who add a label to each prototype. A K-Nearest Neighbor Graph is used to merge prototypes into fewer prototypes without using a fixed distance threshold and then assigning a malware family name to each remaining prototype. An input unknown sample can be classified using the remaining prototypes and using a fixed distance. For the case that no such prototype is close enough, the behavior report of a sample is rejected and tagged as an unknown sample or that of an emerging malware family.

Abstract: Disclosed are a method and system for intelligent source tracing of organic pollution of a water body, which belongs to the technical field of environmental analytical chemistry. The method comprises: acquiring organic matter analysis and detection data from water samples of a polluted water body through high performance liquid chromatography-tandem mass spectrometry; performing high-throughput screening on the organic matter in the water samples according to said data to determine pollutants; identifying pollution sources by means of network analysis according to the determined pollutants; and according to the identified pollution sources and the organic pollutants, determining key pollutants and quantifying the pollution contributions thereof by using a machine learning classification model.

Abstract: The present disclosure relates to a photosensitive structure and a mobile lighting device. The photosensitive structure includes a head housing, and a metal substrate, a lens, a shading bowl, and a light sensor that are located in the head housing. The metal substrate, the lens, and the light sensor are all fixed in the head housing, and the metal substrate is located between the lens and the light sensor, the metal substrate is electrically connected to the light sensor. The shading bowl is fixed to the metal substrate and located between the metal substrate and the lens. Along a light incoming direction, the photosensitive structure is provided with a light inlet located outside a projection of the shading bowl on the metal substrate, the light sensor is configured to sense an external brightness through the light inlet.

Abstract: A discourse-level text translation method and device, the method comprising: acquiring a text to be translated, the text to be translated being a unit text in a discourse-level text to be translated (S101); acquiring an associated text of the text to be translated, the associated text including at least one of a preceding source text, a following source text, and a preceding target text (S102); and translating, according to the associated text, the text to be translated (S103).

Abstract: A speech recognition method and related products are provided. The method includes acquiring a to-be-recognized speech and a configured hot word library; determining, based on the to-be-recognized speech and the hot word library, an audio-related feature used at a current decoding time instant; determining, based on the audio-related feature, a hot word-related feature used at the current decoding time instant from the hot word library; and determining, based on the audio-related feature and the hot word-related feature, a recognition result of the to-be-recognized speech at the current decoding time instant.

Abstract: A method and a system for end-to-end modeling are provided. The method includes: determining a topological structure of a target-based end-to-end model, where the topological structure includes an input layer, an encoding layer, an code enhancement layer, a filtering layer, a decoding layer and an output layer; the code enhancement layer adds information of a target unit to a feature sequence outputted by the encoding layer, the filtering layer filters a feature sequence added with the information of the target unit; collecting multiple pieces of training data; and training parameters of the target-based end-to-end model by using the multiple pieces of the training data.