Abstract: A method for learning a correspondence between malware behaviors and an execution trace of the malware, comprising: receiving an execution trace which includes one or more sequences of application programming interface (API) calls, wherein each of the API calls is corresponding to one or more resources of a computer system; processing each sequence of the API calls in a process, respectively, for generating a binding group embedding for each of the resources corresponding to the API calls in each of the process; aggregating the binding group embeddings in each of the processes; producing a malware representation according to the aggregated binding group embeddings; and classifying the malware representation corresponding to techniques implemented by the malware.

Abstract: A map constructing method adopted by a map constructing apparatus and includes steps of: continually obtaining colored image and depth-image information by an image sensor and a depth sensor of the map constructing apparatus while the map constructing apparatus is moving; recognizing the colored image for determining whether a dynamic object exists; labelling an object area corresponding to the location of the dynamic object if the dynamic object exists in the colored image; mapping the object area to a depth-image coordinate adopted by the depth-image information, searching for a corresponding position of the object area in the depth-image information and filtering the object area from the depth-image information for generating an adjusted depth-image information; and, inputting the adjusted depth-image information to a map constructing algorithm for establishing map data.

Abstract: An image processing method includes analyzing multiple images data based on Illumination-invariant Feature Network (IF-NET) with an image processing device to generate corresponding sets of eigenvector, in which image data includes a first image data related to at least one first feature of the sets of eigenvector, and a second image data related to at least one second feature of the sets of eigenvector; choosing a corresponding first training set of tiles and second training set of tiles from the first image data and second image data with an image processing device based on IF-NET, and computing on both training set of tiles to generate a least one loss value; and adjusting IF-NET based on a least one loss value. An image processing system is also disclosed herein.

Abstract: A scene model constructing method includes the following steps. According to multiple position parameters in multiple scene materials, classifying the scene materials into multiple position groups. According to scene similarities between the scene materials, classifying the scene materials into multiple first similar image sub-groups and multiple second similar image sub-groups. Establishing a first similar image sub-model and a second similar image sub-model respectively according to the first similar image sub-group and the second similar image sub-group. Combining a first similar image sub-model to a first position model, and combining a second similar image sub-model to a second position model. Finally, combining the first position model and the second position model to a scene model.

Abstract: A proximity sensing device which is disposed under the OLED panel and has an emitting module and a receiving module, is provided. The emitting module can emit an invisible light which has a peak wavelength not less than 1000 nm. The receiving module is disposed adjacent to the emitting module and can receive a reflecting light from the reflected invisible light. Therefore, the invisible light passing through the OLED panel will not cause a bright spot on the panel.

Abstract: A scene model constructing method includes the following steps. According to multiple position parameters in multiple scene materials, classifying the scene materials into multiple position groups. According to scene similarities between the scene materials, classifying the scene materials into multiple first similar image sub-groups and multiple second similar image sub-groups. Establishing a first similar image sub-model and a second similar image sub-model respectively according to the first similar image sub-group and the second similar image sub-group. Combining a first similar image sub-model to a first position model, and combining a second similar image sub-model to a second position model. Finally, combining the first position model and the second position model to a scene model.

Abstract: A map constructing method adopted by a map constructing apparatus and includes steps of: continually obtaining colored image and depth-image information by an image sensor and a depth sensor of the map constructing apparatus while the map constructing apparatus is moving; recognizing the colored image for determining whether a dynamic object exists; labelling an object area corresponding to the location of the dynamic object if the dynamic object exists in the colored image; mapping the object area to a depth-image coordinate adopted by the depth-image information, searching for a corresponding position of the object area in the depth-image information and filtering the object area from the depth-image information for generating an adjusted depth-image information; and, inputting the adjusted depth-image information to a map constructing algorithm for establishing map data.

Abstract: A proximity sensing device which is disposed under the OLED panel and has an emitting module and a receiving module, is provided. The emitting module can emit an invisible light which has a peak wavelength not less than 1000 nm. The receiving module is disposed adjacent to the emitting module and can receive a reflecting light from the reflected invisible light. Therefore, the invisible light passing through the OLED panel will not cause a bright spot on the panel.

Abstract: The present disclosure provides a diaphragm set for a stethoscope having a chest piece. The diaphragm set includes a diaphragm having a bottom structure and a side structure connected to an edge of the bottom structure. The bottom structure and the side structure of the diaphragm form a diaphragm cavity for receiving the chest piece of the stethoscope.

Abstract: The invention provides a light emitting sensing device and a manufacturing method thereof. The light emitting sensing device comprises: a non-translucent substrate having a first surface with at least one recess formed on the first surface; a light emitting element disposed in the at least one recess; a light sensing element disposed on the first surface; a first transparent material disposed in the at least one recess and covering the light emitting element; and a second transparent material disposed on the first surface and covering the light sensing element. The light emitting sensing device provided in this embodiment solves the problem in the prior art, the infrared light emitted by the light emitting chip irradiates into the sensing chip and causes the sensing chip to be interfered by the light of the light emitting chip resulting in reduced sensing accuracy.

Abstract: Disclosed is an adhesive hairpiece that can be planted onto a user's hair to change the color, style or length of the user's hair. The adhesive hairpiece includes a hair bundle, a binding plate fixed to an end of the hair bundle, and a double-sided adhesive tape having a first side pre-adhered to the binding plate and a side of the hair bundle and a second side attached to a peelable release paper. During use, the release paper is peeled away, and the second side of the adhesive tape is adhered to the bottom layer of a bundle of the user's hair, so that the wig of the hairpiece is connected and hidden in the inner layer of the user's hair, so as to achieve the effects of quick connection, natural style, and enhanced adhesion of the hairpiece.

Abstract: The present invention relates to pyrimidine compounds of formula (I): which are useful in treating mTOR kinase- or PI3K kinase-related diseases.

Abstract: The present invention relates to pyrimidine compounds of formula (I): which are useful in treating mTOR kinase- or PI3K kinase-related diseases.

Abstract: The present invention relates to pyrimidine compounds of formula (I): which are useful in treating mTOR kinase- or PI3K kinase-related diseases.

Abstract: The present invention relates to pyrimidine compounds of formula (I): which are useful in treating mTOR kinase- or PI3K kinase-related diseases.

Abstract: The present invention relates to pyrimidine compounds of formula (I): which are useful in treating mTOR kinase- or PI3K kinase-related diseases.

Abstract: A server, a system and a method for automatic virtual metrology (AVM) are disclosed. The AVM system comprises a model-creation server and a plurality of AVM servers. The model-creation server is used to construct the first set of virtual metrology (VM) models (of a certain equipment type) including a VM conjecture model, a RI (Reliance Index) model, a GSI (Global Similarity Index) model, a DQIx (Process Data Quality Index) model, and a DQIy (Metrology Data Quality Index) model. In the AVM method, the model-creation server also can fan out or port the first set of VM models generated to other AVM servers of the same process apparatus (equipment) type, and each individual fan-out-acceptor's AVM server can perform automatic model refreshing processes so as to gain and maintain its VM models' accuracy.

Abstract: A server, a system and a method for automatic virtual metrology (AVM) are disclosed. The AVM system comprises a model-creation server and a plurality of AVM servers. The model-creation server is used to construct the first set of virtual metrology (VM) models (of a certain equipment type) including a VM conjecture model, a RI (Reliance Index) model, a GSI (Global Similarity Index) model, a DQIx (Process Data Quality Index) model, and a DQIy (Metrology Data Quality Index) model. In the AVM method, the model-creation server also can fan out or port the first set of VM models generated to other AVM servers of the same process apparatus (equipment) type, and each individual fan-out-acceptor's AVM server can perform automatic model refreshing processes so as to gain and maintain its VM models' accuracy.

Abstract: An improved fence structure includes two bases, two assembling rods, two positioning fitting heads and one fence plate. Several screwing members may pass through the base. The base has a center formed with a connection portion through which the assembling rod may be inserted. The assembling rod has several rabbet slots. The fence plate has two lateral sides formed with connection portions, which may be correspondingly embedded into the rabbet slots of the assembling rod for positioning. The center of the positioning fitting head is formed with a fitting hole to fit with an end portion of the assembling rod. Thus, many fence plates may be used to define various angular areas.