Abstract: A semiconductor device includes a magnetic tunneling junction (MTJ) on a substrate, a spacer adjacent to the MTJ, a liner adjacent to the spacer, and a first metal interconnection on the MTJ. Preferably, the first metal interconnection includes protrusions adjacent to two sides of the MTJ and a bottom surface of the protrusions contact the liner directly.

Abstract: An encoder determines, based on a width and a height of a block, whether or not to disable a prediction mode in which the block is split along a partitioning line defined by a distance and an angle and then prediction is performed; and encodes the block with the prediction mode disabled or not disabled according to a result of the determination on whether or not to disable the prediction mode. Here, the distance is the shortest distance between the center of the block and the partitioning line, and the angle is an angle representing a direction from the center of the block toward the partitioning line in the shortest distance. The encoder determines to disable the prediction mode when (i) a width-to-height ratio is at least 8 or (ii) a height-to-width ratio is at least 8.

Abstract: An encoder includes circuitry and memory coupled to the circuitry. The circuitry, in operation: determines whether a size of a current block, which is a unit for which a vector candidate list including vector candidates is generated, is less than or equal to a threshold; when the size of the current block is less than or equal to the threshold, generates the vector candidate list by registering a history-based motion vector predictor (HMVP) vector candidate in the vector candidate list from an HMVP table without performing a first pruning process; when the size of the current block is greater than the threshold, generates the vector candidate list by performing the first pruning process and registering the HMVP vector candidate in the vector candidate list from the HMVP table; and encodes the current block using the vector candidate list.

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 semiconductor device includes a magnetic tunneling junction (MTJ) on a substrate, a first spacer on one side of the of the MTJ, a second spacer on another side of the MTJ, a first metal interconnection on the MTJ, and a liner adjacent to the first spacer, the second spacer, and the first metal interconnection. Preferably, each of a top surface of the MTJ and a bottom surface of the first metal interconnection includes a planar surface and two sidewalls of the first metal interconnection are aligned with two sidewalls of the MTJ.

Abstract: A semiconductor device includes a magnetic tunneling junction (MTJ) on a substrate, a first spacer on one side of the of the MTJ, a second spacer on another side of the MTJ, a first metal interconnection on the MTJ, and a liner adjacent to the first spacer, the second spacer, and the first metal interconnection. Preferably, each of a top surface of the MTJ and a bottom surface of the first metal interconnection includes a planar surface and two sidewalls of the first metal interconnection are aligned with two sidewalls of the MTJ.

Abstract: A magnetoresistive random access memory (MRAM) structure, including a substrate and multiple MRAM cells on the substrate, wherein the MRAM cells are arranged in a memory region adjacent to a logic region. An ultra low-k (ULK) layer covers the MRAM cells, wherein the surface portion of ultra low-k layer is doped with fluorine, and dents are formed on the surface of ultra low-k layer at the boundaries between the memory region and the logic region.

Abstract: A decoder includes circuitry which, in operation, parses a first flag indicating whether a CCALF (cross component adaptive loop filtering) process is enabled for a first block located adjacent to a left side of a current block; parses a second flag indicating whether the CCALF process is enabled for a second block located adjacent to an upper side of the current block; determines a first index associated with a color component of the current block; and derives a second index indicating a context model, using the first flag, the second flag, and the first index. The circuitry, in operation, performs entropy decoding of a third flag indicating whether the CCALF process is enabled for the current block, using the context model indicated by the second index; and performs the CCALF process on the current block in response to the third flag indicating the CCALF process is enabled for the current block.

Abstract: The present disclosure provides a method and a system for identifying mobile device according to information feature of applications of the mobile device. In an analysis device, obtaining a first information feature related to a first application and a second information feature related to a second application, wherein the first information feature is corresponding to one of the mobile devices, the second information feature is corresponding to one of the mobile devices. The analysis device compares the degree of similarity between the first information feature and the second information feature, and a comparison result determines whether the corresponding mobile device with the first information feature and the corresponding mobile device with the second information feature are the same mobile device. Thus, the method and the system can identify whether or not certain applications are already installed to the same mobile device.

Abstract: A searching method for product photograph is provided. An input image is provided and delivered to a server from a client terminal, and the user selects a searching option from the client. According to the selected searching option, the input image is analyzed to obtain searching data. A comparison process is performed by comparing the input image and the searching data corresponding to the input image to a plurality of product images and a plurality of properties corresponding to those product images. At least one of those product images is delivered to the user for displaying.

Abstract: The present disclosure provides a method and a system for identifying mobile device according to information feature of applications of the mobile device. In an analysis device, obtaining a first information feature related to a first application and a second information feature related to a second application, wherein the first information feature is corresponding to one of the mobile devices, the second information feature is corresponding to one of the mobile devices. The analysis device compares the degree of similarity between the first information feature and the second information feature, and a comparison result determines whether the corresponding mobile device with the first information feature and the corresponding mobile device with the second information feature are the same mobile device. Thus, the method and the system can identify whether or not certain applications are already installed to the same mobile device.

Abstract: A manual human machine interface operation system and method thereof are disclosed. In embodiment, this manual human machine interface operation system extracts user's arm image and palm image from the images capture by at least two cameras, and then calculates user's arm coordinate, so that user can select the object shown on the human machine interface by manually using his/her arm. The system then recognizes a hand posture according to the palm image and determines an instruction mapped to this hand posture. This instruction is then performed on the selected object. In embodiment, the hand posture can be a pointing posture, grab posture or a release posture.

Abstract: An image based motion gesture recognition method and system thereof are disclosed. In embodiment, a hand posture detection is performed according to the received image frames, to obtain a first hand posture. It is then determined whether the first hand posture matches a predefined starting posture or not. If the first hand posture matches said predefined starting posture, movement tracking is performed according to hand locations on image frames, to obtain a motion gesture. During said movement tracking, the hand posture detection is performed according to said image frames to obtain a second hand posture, and it is determined whether the second hand posture matches a predefined ending posture. If the second hand posture matches the predefined ending posture, the movement tracking is stopped. Therefore, reduce complexity motion gesture recognition can be reduced and the reliability in interaction can be improved.

Abstract: A system and methods for voice controlled operation of a media player are provided. In one embodiment, a method includes detecting user positioning of a microphone power switch to an off position, detecting user positioning of the microphone power switch to an on position within a predetermined period of time and entering a voice recognition mode, by the media player, based on the user positioning of the microphone power switch to the on position within the predetermined period of time. The method may further include detecting one or more output signals of the microphone, detecting a voice command based on the one or more output signals of the microphone, and controlling operation of the media player based on the voice command, wherein the media player outputs a graphical display associated with the voice command.

Abstract: The present patent application provides a low power consumption pump driving circuit including a laser cooling chip, a PMOS transistor, a NMOS transistor, a LC filter circuit, a laser, and a voltage sampling circuit. The pulse width modulating signal generated by the laser cooling chip and the control terminal of the PMOS transistor are connected to the gate of the PMOS transistor. The source of the PMOS transistor is connected to a power supply. The drain of the PMOS transistor is connected to the LC filter circuit. The other terminal of the LC filter circuit is connected to the anode of the laser. The cathode of the laser is connected to the drain of the NMOS transistor. The source of the NMOS transistor is connected to the ground. One terminal of the voltage sampling circuit is connected to the laser. The other terminal of the voltage sampling circuit is connected to the laser cooling chip.

Abstract: A system and methods for voice controlled operation of a media player are provided. In one embodiment, a method includes detecting user positioning of a microphone power switch to an off position, detecting user positioning of the microphone power switch to an on position within a predetermined period of time and entering a voice recognition mode, by the media player, based on the user positioning of the microphone power switch to the on position within the predetermined period of time. The method may further include detecting one or more output signals of the microphone, detecting a voice command based on the one or more output signals of the microphone, and controlling operation of the media player based on the voice command, wherein the media player outputs a graphical display associated with the voice command.

Abstract: A manual human machine interface operation system and method thereof are disclosed. In embodiment, this manual human machine interface operation system extracts user's arm image and palm image from the images capture by at least two cameras, and then calculates user's arm coordinate, so that user can select the object shown on the human machine interface by manually using his/her arm. The system then recognizes a hand posture according to the palm image and determines an instruction mapped to this hand posture. This instruction is then performed on the selected object. In embodiment, the hand posture can be a pointing posture, grab posture or a release posture.

Abstract: A vision-based hand movement recognition system and method thereof are disclosed. In embodiment, a hand posture is recognized according to consecutive hand images first. If the hand posture matches a start posture, the system then separates the consecutive hand images into multiple image groups and calculates motion vectors of these image groups. The distributions of these motion vectors are compared with multiple three-dimensional motion vector histogram equalizations to determine a corresponding movement for each image group. For example, the corresponding movement can be a left moving action, a right moving action, an up moving action or a down moving action. Finally, the combination of these corresponding movements is defined as a gesture, and an instruction mapped to this gesture is then executed.

Abstract: A vision based hand posture recognition method and system thereof are disclosed. The method comprises the following steps of receiving an image frame; extracting a contoured hand image from said image frame; calculating a gravity center of said contoured hand image; obtaining contour points on a contour of said contoured hand image; calculating distances between said gravity center and said multiple contour points; recognizing a hand posture according to a first characteristic function of said multiple contour points. In embodiment, the finger number and hand direction of the hand posture can be determined according to the number and location of at least one peak of the first characteristic function.

Abstract: An image based motion gesture recognition method and system thereof are disclosed. In embodiment, a hand posture detection is performed according to the received image frames, to obtain a first hand posture. It is then determined whether the first hand posture matches a predefined starting posture or not. If the first hand posture matches said predefined starting posture, movement tracking is performed according to hand locations on image frames, to obtain a motion gesture. During said movement tracking, the hand posture detection is performed according to said image frames to obtain a second hand posture, and it is determined whether the second hand posture matches a predefined ending posture. If the second hand posture matches the predefined ending posture, the movement tracking is stopped. Therefore, reduce complexity motion gesture recognition can be reduced and the reliability in interaction can be improved.