Abstract: A semiconductor structure includes a substrate, several gate structures formed in the substrate, dielectric portions formed on the respective gate structures, spacers adjacent to and extending along the sidewalls of the dielectric portions, source regions formed between the substrate and the spacers, and contact plugs formed between adjacent gate structures and contact the respective source regions. The source regions are adjacent to the gate structures. The sidewalls of the spacers are aligned with the sidewalls of the underlying source regions.

Abstract: A semiconductor device includes a substrate, a body region on the substrate, a source region on the body region, a first trench electrode passing through the source region, the body region and a portion of the substrate, a first dielectric cap layer, a first dielectric liner and a conductive layer. The first dielectric cap layer includes a first dielectric portion directly above the first trench electrode and first dielectric spacers on two opposite sides of the first dielectric portion. The first dielectric liner surrounds the first trench electrode and the first dielectric portion. The conductive layer covers the first dielectric cap layer and includes an electrode contact. The electrode contact includes a first portion in the body region and a second portion adjacent to one of the first dielectric spacers, where the first and second portions have the same width.

Abstract: Embodiments of the present disclosure generally relate to electroluminescent devices, such as organic light-emitting diodes, and displays including electroluminescent devices. In an embodiment is provided an electroluminescent device that includes a pixel defining layer, an organic emitting unit disposed over at least a portion of the pixel defining layer, and a filler layer disposed over at least a portion of the organic emitting unit, wherein a refractive index of the pixel defining layer is lower than a refractive index of the filler layer, and wherein the refractive index of the pixel defining layer is lower than a refractive index of one or more layers of the organic emitting unit. In another embodiment is provided a display device that includes a substrate, a thin film transistor formed on the substrate, an interconnection electrically coupled to the thin film transistor, and an electroluminescent device electrically coupled to the interconnection.

Abstract: A driver status monitor test method is for testing if a driver status monitor generates an alarm operation in accordance with driver motion images. A photographing unit of the driver status monitor is configured to take photographs of the driver motion images. The driver status monitor test method includes a test motion selecting step and a driver motion image displaying step. The test motion selecting step includes selecting at least one test motion for testing the driver status monitor by a user interface. The driver motion image displaying step includes displaying the driver motion images by a display. The driver motion images are a plurality of predetermined image frames in accordance with the test motion. The driver motion images include at least one of a face image, a forelimb image and a torso image.

Abstract: A driver status monitor test method is for testing if a driver status monitor generates an alarm operation in accordance with driver motion images. A photographing unit of the driver status monitor is configured to take photographs of the driver motion images. The driver status monitor test method includes a test motion selecting step and a driver motion image displaying step. The test motion selecting step includes selecting at least one test motion for testing the driver status monitor by a user interface. The driver motion image displaying step includes displaying the driver motion images by a display. The driver motion images are a plurality of predetermined image frames in accordance with the test motion. The driver motion images include at least one of a face image, a forelimb image and a torso image.

Abstract: Embodiments described herein relate to spatial optical differentiators and layer architecture of adjacent functional layers disposed above or below organic light-emitting diode (OLED) display pixels. A functional unit for an electroluminescent (EL) device pixel includes a spatial optical differentiator disposed adjacent the EL device pixel. The spatial optical differentiator is configured to selectively reflect and transmit light based on an incident angle of light upon the functional unit. For top-emitting OLED, the functional unit includes a thin film encapsulation (TFE) stack disposed over the spatial optical differentiator. For bottom-emitting OLED, the functional unit includes the spatial optical differentiator disposed above at least one of a planar layer or an isolation layer. Also described herein are methods for fabricating the functional unit.

Abstract: A method for analyzing a number of people includes an image shooting step and a front-end analyzing step. In the image shooting step, a first image and a second image are obtained. In the front-end analyzing step, a foreground object analysis is operated, and a plurality of foreground objects located at a region of interest in the first image are obtained. A human body detection is operated, and at least one human body and a location thereof of the second image are obtained. An intersection analysis is operated, and the location of the human body is matched to the first image. A number of people estimation is operated to estimate the number of the people according to the first covering ratio, a number of the human body, and a second covering ratio of all the foreground objects to the region of interest.

Abstract: A method for analyzing a number of people includes an image shooting step and a front-end analyzing step. In the image shooting step, a first image and a second image are obtained. In the front-end analyzing step, a foreground object analysis is operated, and a plurality of foreground objects located at a region of interest in the first image are obtained. A human body detection is operated, and at least one human body and a location thereof of the second image are obtained. An intersection analysis is operated, and the location of the human body is matched to the first image. A number of people estimation is operated to estimate the number of the people according to the first covering ratio, a number of the human body, and a second covering ratio of all the foreground objects to the region of interest.

Abstract: A nighttime vehicle detecting method is for capturing an image by a camera and driving a computing unit to compute the image and then detect a highlight point of the image. The nighttime vehicle detecting method is for driving the computing unit to perform a communicating region labeling algorithm to label a plurality of highlight pixels connected to each other as a communicating region value, and then performing an area filtering algorithm to analyze an area of the highlight pixels connected to each other and judge whether the highlight pixels connected to each other are a vehicle lamp or not according to a size of the area. The nighttime vehicle detecting method is for driving the computing unit to perform an optical flow algorithm to obtain a speed of the vehicle lamp, and then filtering the vehicle lamp moved at the speed smaller than a predetermined speed.

Abstract: The present disclosure provides a method for analyzing an error and an existence probability of a multi-sensor fusion. The method includes the ab obstacle sensing step, an obstacle predicting step, an error-model providing step, an existence-probability step, a tracking and fusing step and an error accumulating and correcting step. Therefore, by using the method, a plurality of fused obstacle datasets can be obtained, and an accumulation of error variations thereof can be corrected, which can improve the reliability for judging whether the obstacle exist or not.

Abstract: A nighttime vehicle detecting method is for capturing an image by a camera and driving a computing unit to compute the image and then detect a highlight point of the image. The nighttime vehicle detecting method is for driving the computing unit to perform a communicating region labeling algorithm to label a plurality of highlight pixels connected to each other as a communicating region value, and then performing an area filtering algorithm to analyze an area of the highlight pixels connected to each other and judge whether the highlight pixels connected to each other are a vehicle lamp or not according to a size of the area. The nighttime vehicle detecting method is for driving the computing unit to perform an optical flow algorithm to obtain a speed of the vehicle lamp, and then filtering the vehicle lamp moved at the speed smaller than a predetermined speed.

Abstract: The present disclosure provides a method for analyzing an error and an existence probability of a multi-sensor fusion. The method includes the ab obstacle sensing step, an obstacle predicting step, an error-model providing step, an existence-probability step, a tracking and fusing step and an error accumulating and correcting step. Therefore, by using the method, a plurality of fused obstacle datasets can be obtained, and an accumulation of error variations thereof can be corrected, which can improve the reliability for judging whether the obstacle exist or not.

Abstract: A method for detecting driving behavior and a system using the same is disclosed. Firstly, at least one user image comprising an arm image and a head behavior image is retrieved. Then, a processor retrieves the arm image to compare with arm sample images stored in a database. The arm image corresponds to the arm sample image to determine a normal driving behavior. The arm image does not correspond to the arm sample image to determine an abnormal driving behavior, whereby the processor retrieves the head behavior image to compare with head regulation-violating sample images stored in the database. The head behavior image does not correspond to the head regulation-violating sample image to determine a normal driving behavior. The head behavior image corresponds to the head regulation-violating sample image to determine an abnormal driving behavior and output a second-level warning signal, thereby warning a driver.

Abstract: A method for detecting driving behavior and a system using the same is disclosed. Firstly, at least one user image comprising an arm image and a head behavior image is retrieved. Then, a processor retrieves the arm image to compare with arm sample images stored in a database. The arm image corresponds to the arm sample image to determine a normal driving behavior. The arm image does not correspond to the arm sample image to determine an abnormal driving behavior, whereby the processor retrieves the head behavior image to compare with head regulation-violating sample images stored in the database. The head behavior image does not correspond to the head regulation-violating sample image to determine a normal driving behavior. The head behavior image corresponds to the head regulation-violating sample image to determine an abnormal driving behavior and output a second-level warning signal, thereby warning a driver.

Abstract: A method for manufacturing a metal-oxide-semiconductor (MOS) gate stack structure in an insta-MOS field-effect-transistor (i-MOSFET) includes the following steps of: forming a silicon nitride layer over a silicon substrate; forming a nanopillar structure including a silicon-germanium alloy layer in contact with the silicon nitride layer; and performing a thermal oxidation process on the nanopillar structure to cause germanium atoms in the silicon-germanium alloy layer to penetrate the underneath silicon nitride layer to form a silicon-germanium shell layer in contact with the silicon substrate and a germanium nanosphere located over the silicon germanium shell layer, and to form a separating layer between the silicon-germanium shell layer and the germanium nanosphere by oxidizing silicon atoms from the silicon nitride layer or the silicon substrate, thereby forming a germanium/silicon dioxide/silicon-germanium i-MOS gate stack structure capable of solving interfacial issues between silicon and germanium and b

Abstract: A method for manufacturing a metal-oxide-semiconductor (MOS) gate stack structure in an insta-MOS field-effect-transistor (i-MOSFET) includes the following steps of: forming a silicon nitride layer over a silicon substrate; forming a nanopillar structure including a silicon-germanium alloy layer in contact with the silicon nitride layer; and performing a thermal oxidation process on the nanopillar structure to cause germanium atoms in the silicon-germanium alloy layer to penetrate the underneath silicon nitride layer to form a silicon-germanium shell layer in contact with the silicon substrate and a germanium nanosphere located over the silicon germanium shell layer, and to form a separating layer between the silicon-germanium shell layer and the germanium nanosphere by oxidizing silicon atoms from the silicon nitride layer or the silicon substrate, thereby forming a germanium/silicon dioxide/silicon-germanium i-MOS gate stack structure capable of solving interfacial issues between silicon and germanium and b