Abstract: The disclosure control system for a server provides a battery, a power supply is configured for providing power to a server system, a temperature sensor is configured for sensing a temperature in the server system; a BMC is configured for obtaining the temperature from the temperature sensor; and a warning module is configured for outputting warning information. A control method is also provided.

Abstract: A detection system for a baseboard management controller (BMC) provides a motherboard and a BMC. The motherboard sends a detection command to the BMC, the command requiring the BMC to send a response value to the motherboard. A determination unit determines whether the motherboard receives the response value within a preset time. When the motherboard does not receive the response value within the preset time, the determination unit determines that the BMC works abnormally and issues warnings. A detection method is also provided.

Abstract: A monitoring frequency adjustment method monitors a power state of each of the plurality of components at preset intervals, determines a monitoring frequency of each of the plurality of components associated with the determined power state of a corresponding one of the plurality of components, and adjusts the preset intervals for monitoring each of the plurality of components to the determined monitoring frequency of the corresponding one of the plurality of components. A related server and a related non-transitory storage medium are provided.

Abstract: A photolithography system includes a variable-volume buffer tank, a dispensing system connected to the buffer tank, and a valve configured to release gas from a head space of the buffer tank while blocking the release of liquid from the head space. A storage container has an opening at the bottom and drains to the buffer tank through that opening. The buffer tank has a storage capacity sufficient to receive the full contents of the storage container. The system supplies chemical solutions to the dispensing system while keeping the chemical solutions from contact with air and other gases.

Abstract: An auto focus (AF) method adapted to an AF apparatus is provided. The AF method includes following steps. A first image is captured by using the first image sensor. At least one characteristic is detected based on the first image, and whether the characteristic meets a predetermined condition is determined. If the characteristic meets the predetermined condition, a focus depth is calculated according to a three-dimensional (3D) depth information and movement of a first lens of the first sensor is driven according to the focus depth for focusing. If the characteristic does not meet the predetermined condition, the first lens is driven to move for many times to obtain a plurality of contrast values, such that movement of the first lens is driven according to the contrast values for focusing. Additionally, an AF apparatus is provided.

Abstract: An interaction system is provided. The interaction system has a first mobile device, configured to capture images of a scene, and a server, configured to recognize a first electronic device from the images captured by the first mobile device, so that the first electronic device and the first mobile device interact with each other.

Abstract: A system of multimodality-appended rich media comments is provided. The system includes a server and an electronic device. The electronic device includes a network access module, at least one sensor and a processing unit. The network access module communicates with the server. The at least one sensor senses a user's behavior in a recording mode to obtain a sensing data. The processing unit performs an application to provide a source medium, wherein a rich media comment function of the application can be activated to provide multiple interactive objects for selection and then trigger the recording mode. The application uploads the sensing data to the server after the recording mode finishes. The server analyzes the sensing data and accordingly modifies the selected interactive object, combines the source medium with the modified interactive object into a rendered medium, and then delivers the rendered medium to the application.

Abstract: The disclosure provides a method for displaying words. In the method, a speech signal is received. A pitch contour and an energy contour of the speech signal are extracted. Speech recognition is performed on the speech signal to recognize a plurality of words corresponding to the speech signal and determine time alignment information of each of the plurality of words. At least one display parameter of each of the plurality of words is determined according to the pitch contour, the energy contour and the time alignment information of each of the plurality of words. Thus, the plurality of words is integrated into a sentence according to the at least one display parameter of each of the plurality of words. Then, the sentence is displayed on at least one display device.

Abstract: The present disclosure illustrates an auto-focus system using multiple lenses and method thereof, the system is characterized in using multiple lenses and combining multiple focus approaches to improve focus speed and precision. In particular, the system moves multiple lenses simultaneously to perform focusing for reducing focus time efficiently.

Abstract: In a fan speed control method, when a current working mode of a CPU is a Turbo mode, a current temperature of the CPU is obtained for every predetermined time period. A slope of a curve formed by obtained temperatures and corresponding times of obtaining the temperatures is computed. Then, a speed of a fan is adjusted according to the slope of the curve and the current temperature of the CPU.

Abstract: The present disclosure illustrates an auto-focus system using multiple lenses and method thereof. The system is characterized in using multiple lenses and combining a focus depth based approach and a contrast value based approach to improve focus speed and precision. In particular, the system can avoid the impairment caused by the repeat pattern in the focus depth based approach.

Abstract: An auto focus (AF) method and an AF apparatus are provided. The method includes the following steps. At least one target object is selected and photographed by a first image sensor and a second image sensor to generate a three-dimensional (3D) depth map. A block covering at least one initial focusing point is selected. The 3D depth map is queried for reading depth information of a plurality of pixels in the block. It is determined whether depth information of the pixels is enough to operate. If yes, a first statistics operation is performed, and focusing depth information is obtained. If not, the position of the block is moved or the size of the block is enlarged to obtain the focusing depth information. A focusing position is obtained according to the focusing depth information and the AF apparatus is driven to perform an AF procedure according to the focusing position.

Abstract: An auto focus (AF) method adapted to an AF apparatus is provided. The AF method includes following steps. A target object is selected and photographed by a first image sensor and a second image sensor to generate a first image and a second image. A procedure of three-dimensional (3D) depth estimation is performed according to the first image and the second image to generate a 3D depth map. An optimization process is performed on the 3D depth map to generate an optimized 3D depth map. A piece of depth information corresponding to the target object is determined according to the optimized 3D depth map, and a focusing position regarding the target object is obtained according to the pieces of depth information. The AF apparatus is driven to execute an AF procedure according to the focusing position. Additionally, an AF apparatus is provided.

Abstract: In a method for controlling a temperature of a processor of a computing device, an association between power consumptions of the processor and rotational speeds of an electric fan coupled to the processor is established. A real-time power consumption of the processor is measured, and a work mode of the processor is determined. If the processor is in a turbo mode, a rotational speed of the electric fan corresponding to the real-time power consumption of the processor is determined. The electric fan is controlled to rotate at the determined rotational speed.

Abstract: In a method for managing a server, when the server malfunctions, a present abnormality of the server is determined according to data from a memory of the server. A reason of the present abnormality is determined according to a preset reason list, in response to determining that the present abnormality is a hardware abnormality. Use of the abnormal hardware is stopped and an operating system of the server is controlled to restart. Information of the abnormal hardware is acquired from a field replace unit (FRU) chip of the server. The present abnormality of the server, the reason of the present abnormality, and the information of the abnormal hardware is transmitted to the computing device.

Abstract: A processing method for image interpolation is provided. In the method, a contour containing a destination pixel and a plurality of contour pixels is produced and detected by using an edge detection method for a selected area in an original image. Next, two extreme points are identified from the contour pixels by judging the changing trend of brightness value of the contour pixels on the contour. Then using the changing trend and two extreme points determines whether the destination pixel is located at a transition area or a non-transition area. If the destination pixel is located at the non-transition area, an interpolation adjust value is calculated according to the brightness values of the two extreme points and the brightness value of the destination pixel. An interpolation result of the destination pixel is obtained by performing the interpolation on the selected area according to the interpolation adjust value.

Abstract: The invention provides a sensing method for a portable device with a touch panel. The touch panel is sequentially divided into a valid input region, a transition region and a peripheral region from a center to a periphery of the touch panel. The sensing method comprises sensing a contact signal generated from a contact motion of an input device on the touch panel. When the initial position of the contact motion is determined to be within one of the valid input region and the transition region according to the contact signal or the initial position of the contact motion is determined to be within the peripheral region and the contact motion moves into the valid input region according to the contact signal, an operation corresponding to the contact motion is executed according to the contact signal.

Abstract: A server includes a baseboard management controller. The server controls a real time clock to send a clock signal to a platform controller hub (PCH) in a predefined interval. When a system management interrupt has been activated, the server executes a monitoring instruction to obtain a state value of the BMC. When the state value of the BMC is not the same as a normal state value, the server is restarted. An event log of the BMC is written to the BMC and an alarm is raised.

Abstract: An interaction system is provided. The interaction system has a first mobile device, configured to capture images of a scene, and a server, configured to recognize a first electronic device from the images captured by the first mobile device, so that the first electronic device and the first mobile device interact with each other.

Abstract: A system for establishing a virtual social network including at least one emotion detector and a processing module is provided. The emotion detector detects emotional reactions of a plurality of users while they are watching a video to generate a plurality of detection signals. The processing module analyzes the detection signals to obtain emotion data corresponding to a plurality of time indices in the video, and analyzes content of the video to obtain metadata corresponding to the time indices in the video. Also, the processing module classifies the users into social groups according to the emotion data and the metadata.