Abstract: A method for detecting an obstacle applicable in an electronic device includes detecting whether at least one object is within a line of sight of an image capturing device. The image capturing device is controlled to capture a first image of the object and the image capturing device is caused to move until a capturing angle for capturing another image of the object is changed. The image capturing device is controlled to capture a second image of the object and a determination is made as to whether the object in the first image is the same as the object in the second image. For such recognized objects, the object is determined to be a non-planar obstacle when the object in the first image is not the same as the object in the second image.

Abstract: A computing device includes a processor and a memory. The processor is configured to acquire a voice instruction through at least two voice receiving devices, analyze the voice instruction to determine at least one display device controlled by the voice instruction, generate a control instruction according to the voice instruction, and send the control instruction to the at least one display device to cause the at least one display device to display corresponding contents according to the voice instruction.

Abstract: Provided are a method for a terminal transmitting uplink control information (UCI) through a physical uplink control channel (PUCCH) in a wireless communication system, and a terminal using the method. A transmission power to be applied to the uplink control channel is determined on the basis of a value subordinate to a PUCCH format, and at least one type of UCI is transmitted from the physical uplink control channel by using the transmission power that is determined, wherein when the PUCCH format is PUCCH format 3, and the at least one type of UCI includes acknowledgement/negative-acknowledgement (ACK/NACK) and periodic channel state information (CSI), the value subordinate to the PUCCH format is determined on the basis of the number of bits of the ACK/NACK and the number of bits of the periodic CSI.

Abstract: A method and user equipment for performing an uplink transmission in a wireless communication system, are discussed. The method includes allocating transmission power to a first uplink transmission and a second uplink transmission when a total power in a transmission period including at least one or more OFDM symbols exceeds maximum power, wherein each of the first and second uplink transmissions is one of physical uplink shared channel (PUSCH) transmission, physical uplink control channel (PUCCH) transmission, physical random access channel (PRACH) transmission and sounding reference signal (SRS) transmission; and performing the first and second uplink transmissions according to the allocated transmission power, wherein the allocation of the transmission power is performed according to priority information.

Abstract: A pyridone derivative compound and a pharmaceutically acceptable salt, isomer, solvate or hydrate thereof, and a preventive or therapeutic pharmaceutical composition for cognitive disorders that includes the pyridone derivative compound or a pharmaceutically acceptable salt, isomer, solvate or hydrate thereof.

Abstract: Provided are a method for a terminal transmitting uplink control information (UCI) through a physical uplink control channel (PUCCH) in a wireless communication system, and a terminal using the method. A transmission power to be applied to the uplink control channel is determined on the basis of a value subordinate to a PUCCH format, and at least one type of UCI is transmitted from the physical uplink control channel by using the transmission power that is determined, wherein when the PUCCH format is PUCCH format 3, and the at least one type of UCI includes acknowledgement/negative-acknowledgement (ACK/NACK) and periodic channel state information (CSI), the value subordinate to the PUCCH format is determined on the basis of the number of bits of the ACK/NACK and the number of bits of the periodic CSI.

Abstract: A method for processing images of assembly line objects for quality or other inspection acquires at least one first image of an object from an image capturing device, and recognizes image irradiation areas of different monochromatic lights of the acquired first image. The method further includes dividing each of the first image according to the recognized irradiation areas, generating at least one second image by integrating and stitching the divided first images under same monochromatic light, and outputting the at least one second image.

Abstract: An identity authentication device includes a communication unit configured to establish communication with a plurality of online servers, a processor, and a storage configured to store a user profile database including a number of user profiles, wherein each of the user profiles corresponds to an online browsing habit. The processor receives an online browsing record of a user, compares the received online browsing record to the online browsing habits of the user profiles stored in the user profile database to determine whether the received online browsing record matches one of the online browsing habits, and determines whether the received online browsing record belongs to a same user of a matched one of the user profiles according to a result of comparison.

Abstract: A method for detecting defects in manufactured objects includes acquiring a high-resolution image of an object for test, dividing the image into a plurality of smaller sub-images and determining, by a first model, whether each of the small sub-images is similar to a preset template image. The test object is determined to be flawless, when each of the sub-images is found to be similar to a template image. When sub-images are not found sufficiently similar to template images, determining, by a second model, whether a defect is shown to exist within each sub-image, and if so the test object is declared defective. The longer application of the second model is only applied if testing for defects is not resolved by the application of the first model. An electronic device and a computer readable storage medium are also provided.

Abstract: A water cooling heat dissipation structure includes a first and a second plate, a water cooling heat dissipation body, which is composed of a plurality of stacked heat dissipation members. The first plate, the heat dissipation members, and the second plate are in sequence stacked up into one and another to integrally form the water cooling heat dissipation structure by heat treatment. The water cooling heat dissipation body has a top side attached to one side of the first plate and a bottom side thereof attached to the second plate, so as to secure two sides of a flow passage of the water cooling heat dissipation body. A first and a second connecting portion is respectively provided on two sides of the first plate or the water cooling heat dissipation body, and the first and the second connecting portion is communicable with the flow passage.

Abstract: A water cooling heat dissipation structure includes a first and a second plate, a water cooling heat dissipation body, which is composed of a plurality of stacked heat dissipation members. The first plate, the heat dissipation members, and the second plate are in sequence stacked up into one and another to integrally form the water cooling heat dissipation structure by heat treatment. The water cooling heat dissipation body has a top side attached to one side of the first plate and a bottom side thereof attached to the second plate, so as to secure two sides of a flow passage of the water cooling heat dissipation body. A first and a second connecting portion is respectively provided on two sides of the first plate or the water cooling heat dissipation body, and the first and the second connecting portion is communicable with the flow passage.

Abstract: A method for assisting a driver to drive a vehicle in a safer manner includes capturing images of road in front of the vehicle, and identifying a traffic sign in the images. A first image frame is captured at a first time and a second image frame is captured at a later second time when the images do comprise the traffic sign. A change in size or other apparent change of the traffic sign from the first image frame to the second image frame is determined, and conformity or non-conformity with a predetermined rule is then determined. The traffic sign can be analyzed and recognized to trigger the vehicle to perform an action accordingly when conformity is found. A device providing assistance with driving is also provided.

Abstract: A voice recognition system includes a computing device and at least one mobile terminal communicatively coupled to the computing device through a network. The computing device obtains an original sound from the at least one mobile terminal and converts the original sound into a digitized time-frequency map, performs compression segmentation on the time-frequency map to obtain a sound image corresponding to the time-frequency map, and uses an image recognition method to recognize the sound image, obtain an enhanced sound image, and search a preset database for sound information corresponding to the enhanced sound image.

Abstract: A dual band antenna module including a first radiator, a second radiator, a first filter and a second filter is provided. The first radiator resonates to generate a first frequency band and includes a first feeding end and a first ground end. The second radiator resonates to generate a second frequency band and includes a second feeding end and a second ground end. The first filter is extended from the first feeding end in a direction away from the first radiator and used for filtering the second frequency band. The second filter is extended from the second feeding end in a direction away from the second radiator and used for filtering the first frequency band.

Abstract: A cloud device, a terminal device, and an image classification system and method includes the terminal reading an image to be classified; transmitting an instruction of image classification to the cloud device; determining whether the instruction of image classification comprises an intermediate operation result of the first partial operation; performing the second partial operation to obtain an image classification result, when the instruction of image classification comprises intermediate operation result of the first partial operation; and transmitting the image classification result to the terminal device; performing the first partial operation to obtain the intermediate operation result, when the intermediate operation result is not contained in the instruction of image classification; transmitting the intermediate operation result to the terminal device; and performing the second partial operation to obtain an image classification result.

Abstract: An antenna structure includes a first antenna, a second antenna, a third antenna, and a first grounding portion. The first antenna and the second antenna operate at a first frequency. The first antenna is disposed side by side with the second antenna, and the first antenna and the second antenna are orthogonally polarized. The third antenna operates at a second frequency, and the second frequency is lower than the first frequency. The first grounding portion includes a first side edge and a second side edge opposite to each other. The first antenna and the second antenna are connected to the first side edge and the third antenna is connected to the second side edge. An electronic device includes the said antenna structure.

Abstract: A speech recognition device includes a speech acquiring unit, a speech outputting unit, a camera unit, and a processor. The processor obtains speech input acquired by the speech acquiring unit, obtains images acquired by the camera unit, chronologically links the obtained speech and the obtained images together, compares the obtained speech to a speech database to confirm matching speech and a confidence level of the matching speech, determines whether the confidence level of the matching speech exceeds a predetermined confidence level, and outputs the matching speech when the confidence level of the matching speech exceeds the predetermined confidence level.

Abstract: A marketing system includes at least one camera device detecting an image of a customer entering a designated area in real time, a computing device extracting appearance features of the customer from the image and matching the customer with associated commodities according to a database of appearance features and associated commodities, and at least one mobile terminal. The computing device, the at least one camera device, and the at least one mobile terminal are communicatively coupled through a network. The computing device obtains a navigation map of the designated area, determines location information of the customer entering the designated area, sends the location information to the mobile terminal, and labels the location information in the navigation map in the mobile terminal. The location information of the customer is displayed in a preset symbol in the navigation map according to a location of the associated commodity.

Abstract: A cloud device, a terminal device, and an image classification system and method includes the terminal reading an image to be classified; transmitting an instruction of image classification to the cloud device; determining whether the instruction of image classification comprises an intermediate operation result of the first partial operation; performing the second partial operation to obtain an image classification result, when the instruction of image classification comprises intermediate operation result of the first partial operation; and transmitting the image classification result to the terminal device; performing the first partial operation to obtain the intermediate operation result, when the intermediate operation result is not contained in the instruction of image classification; transmitting the intermediate operation result to the terminal device; and performing the second partial operation to obtain an image classification result.