Abstract: A cell culture module, a cell culture system and a cell culture method are provided. The cell culture module includes a casing, a first fixer, a second fixer and a sheet-shaped carrier member. The casing has a chamber and at least one inlet/outlet. The inlet/outlet communicates with the chamber. The first fixer is fixed to the casing and located in the chamber. The second fixer is disposed in the chamber and is movable relative to the first fixer. The sheet-shaped carrier member is formed by arranging a plurality of cell culture carriers, and two opposite ends of the sheet-shaped carrier member are respectively fixed to the first fixer and the second fixer. The sheet-shaped carrier member is in an open state or a folded state according to a variation in a distance between the first fixer and the second fixer due to a movement of the second fixer.

Abstract: Using machine learning for cylinder misfire detection in a dynamic firing level modulation controlled internal combustion engine is described. In a classification embodiment, cylinder misfires are differentiated from intentional skips based on a measured exhaust manifold pressure. In a regressive model embodiment, the measured exhaust manifold pressure is compared to a predicted exhaust manifold pressure generated by neural network in response to one or more inputs indicative of the operation of the vehicle. Based on the comparison, a prediction is made if a misfire has occurred or not. In yet other alternative embodiment, angular crank acceleration is used as well for misfire detection.

Abstract: A satellite IRD (Integrated Receiver Decoder) complies with DiSEqC protocol and is capable of receiving a program of a specific channel from a single cable interface device through a cable. The DiSEqC transmitter transmits a first command corresponding to the specific channel to the single cable interface device through the I/O interface and the cable. The DiSEqC receiver acquires a second command transmitted on the cable through the I/O interface in response to the DiSEqC transmitter transmitting the first command. The detecting circuit compares the second command with the first command to generate a comparison result. The DiSEqC receiver monitors the I/O interface in response to the comparison result indicating that the first command and the second command are different to determine whether there is a command other than the first command transmitted on the cable.

Abstract: A stacked computer system includes a main machine module and expansion modules detachably stacked with each other. Each of the expansion modules is electrically connected to the main machine module. Each of the main machine module and the expansion modules includes a first connector located at an upper position and a second connector located at a lower position. In any two of the main machine module and the expansion modules adjacent to each other, the first connector of a lower one is connected to the second connector of the other one. Each of the first connector and the second connector includes at least two of a data transmission control interface, a power supply interface, a display signal transmission interface and a detection interface.

Abstract: A light guide plate (LGP) and a light source module are provided. The LGP includes a plate body, first microstructures and second microstructures. The plate body has a first light incident surface, a second light incident surface adjacent to the first light incident surface and a first surface connected thereto. The first microstructures are located on the first surface, and each has a first optical surface facing the first light incident surface. Two sides of each first microstructure respectively have a first edge portion. One of the first edge portions faces and is inclined relative to the second light incident surface, and there is a first included angle between the first edge portion facing the second light incident surface and the first surface. The second microstructures are located on the first surface, and each second microstructure has a second optical surface facing the second light incident surface.

Abstract: A memory module with a screen includes a memory substrate, a power conversion module, a screen control module, and a screen. The memory substrate includes a plurality of memory components and a connection interface. The power conversion module is disposed on the memory substrate and electrically connected to the connection interface. The screen control module is disposed on the memory substrate and electrically connected to the connection interface and the power conversion module. The screen is disposed on the memory substrate, and the screen is electrically connected to the power conversion module and the screen control module to receive a voltage output from the power conversion module and a display signal output from the screen control module. A motherboard module including a memory module with a screen is also provided.

Abstract: A backlight module includes a light guide member, a first light source, a second light source, a plurality of first optical microstructures, and a plurality of second optical microstructures. The light guide member has a first light incident surface and an adjacent second light incident surface. The first light source is disposed at one side of the first light incident surface and is configured to generate a first light beam. The second light source is disposed at one side of the second light incident surface and is configured to generate a second light beam. The first and the second optical microstructures are disposed at the light guide member and are configured to reflect the first and the second light beams. The reflected first light beam has a first light emitting angle range without a normal viewing angle range. A display apparatus using the backlight module is also provided.

Abstract: Using machine learning for cylinder misfire detection in a dynamic firing level modulation controlled internal combustion engine is described. In a classification embodiment, cylinder misfires are differentiated from intentional skips based on a measured exhaust manifold pressure. In a regressive model embodiment, the measured exhaust manifold pressure is compared to a predicted exhaust manifold pressure generated by neural network in response to one or more inputs indicative of the operation of the vehicle. Based on the comparison, a prediction is made if a misfire has occurred or not. In yet other alternative embodiment, angular crank acceleration is used as well for misfire detection.

Abstract: The present invention relates to a fingerprint enrollment method and an electronic device for performing the fingerprint enrollment method. A fingerprint sensor of the electronic device senses the fingerprint to generate the fingerprint images. The processor of the electronic device determines if M qualified fingerprint images are acquired or the number of times the finger touches the fingerprint sensor reaches N. When any of the above conditions is satisfied, the operation of sensing fingerprint is stopped. After that, the processor uses the fingerprint images to generate fingerprint enrollment information to complete the fingerprint enrollment process. Based on the disclosure of the present invention, the user can complete the fingerprint enrollment process regardless of whether the user uses spiral enrollment or pressing enrollment.

Abstract: A backlight module includes a light guide member, a first light source, a second light source, a plurality of first optical microstructures, and a plurality of second optical microstructures. The light guide member has a first light incident surface and an adjacent second light incident surface. The first light source is disposed at one side of the first light incident surface and is configured to generate a first light beam. The second light source is disposed at one side of the second light incident surface and is configured to generate a second light beam. The first and the second optical microstructures are disposed at the light guide member and are configured to reflect the first and the second light beams. The reflected first light beam has a first light emitting angle range without a normal viewing angle range. A display apparatus using the backlight module is also provided.

Abstract: A method for tracking a target located within a body, whilst scanning the body using X-ray projections, the method including the steps of: (a) providing a first prior image of the body and target indicating their relative position; (b) iteratively performing, for a series of time intervals, the steps of: (i) acquiring a few spatially distributed x-ray projections of the target area; (ii) determining one of a series of motion phases for each x-ray projection; (iii) performing an iterative reconstruction of the image for each of the motion phases; and (iv) outputting a resultant image for a current time interval.

Abstract: Disclosed is a method and system for three-dimensional tracking of a target located within a body, the method performed using at least one processing system. A two-dimensional scanned image of the body including the target is processed to obtain a two-dimensional image of the target. A first present dataset of the target is predicted using a previous dataset of the target and a state transition model, the first present dataset includes a three-dimensional present position value of the target. A second present dataset of the target is measured by template-matching of the two-dimensional image of the target with a model of the target. A third present dataset of the target is estimated by statistical inference using the first present dataset and the second present dataset. The previous dataset of the target is updated to match the third present dataset.

Abstract: A power device and an operating method thereof are provided. The power device comprises a communication interface and a control circuit. The control circuit is configured to connect a network through the communication interface, and to execute a web server program to provide a web-based user interface. The web-based user interface is configured to provide a plurality of web pages, and the web pages are configured to present a plurality of different related information of the power device. The web-based user interface is further configured to provide a virtual button. When the control circuit determines that the virtual button is clicked once, the control circuit collects the related information from different addresses corresponding to the related information in a memory space, and packages the collected related information as a single file, so as to perform a follow-up process on this single file.

Abstract: In one aspect, a skip fire engine controller is described. The skip fire engine controller includes a skip fire module arranged to determine an operational firing fraction and associated cylinder load for delivering a desired engine output. The skip fire engine controller also includes a firing controller arranged to direct firings in a skip fire manner that delivers the selected operational firing fraction. Various methods, modules, lookup tables and arrangements related to the selection of a suitable operational firing fraction are also described.

Abstract: Using machine learning for cylinder misfire detection in a dynamic firing level modulation controlled internal combustion engine is described. In a classification embodiment, cylinder misfires are differentiated from intentional skips based on a measured exhaust manifold pressure. In a regressive model embodiment, the measured exhaust manifold pressure is compared to a predicted exhaust manifold pressure generated by neural network in response to one or more inputs indicative of the operation of the vehicle. Based on the comparison, a prediction is made if a misfire has occurred or not. In yet other alternative embodiment, angular crank acceleration is used as well for misfire detection.

Abstract: A schedule for performing physical activities is generated by a physical activity model. The model draws from activity data, environmental data, and physical data collected during performance of identified physical activities. Weather forecasts for a particular region and time range drive the model to produce the performance schedule during the time range.

Abstract: A method for forming a semiconductor device includes forming a first guard ring around at least one transistor over a substrate. The method further includes forming a second guard ring around the first guard ring, wherein the second guard ring directly contacts the first guard ring. The method further includes forming an isolation structure between the first guard ring and the second guard ring. The method further includes forming a first doped region adjacent to the first guard ring, the first doped region having a first dopant type. The method further includes forming a second doped region adjacent to the second guard ring, the second doped region having a second dopant type.

Abstract: A fan expansion card includes a first circuit board and at least one first fan. The first circuit board has at least one through-hole. The first circuit board includes a first connection port having a PCI-E interface. Each of the first fans is disposed at a position on the first circuit board corresponding to the through-hole. The first fan is electrically connected to the first circuit board, wherein an airflow generated by each of the first fans passes through the corresponding through-hole. A motherboard module having the above fan expansion card is further provided.

Abstract: Using machine learning for misfire detection in a Dynamic firing level modulation controlled internal combustion engine is described. A neural network is used to calculate expected crank acceleration from various inputs, including the dynamically defined cylinder skip fire sequence. The output of the neural network is then compared to a signal indicative of the measured crank acceleration. Based the comparison, a prediction is made if a misfire has occurred or not. In alternative embodiment, the neural network is expanded to include the measured crank acceleration as an additional input. With the latter embodiment, the neural network is arranged to directly predict misfire events.

Abstract: A telecommunication box connector with a protective outer shield includes a connector main body and a protective outer shield covering onto the connector main body. The connector main body includes a first external connecting portion. The protective outer shield includes a shield member, a second connecting portion protruding out of the shield member and an inner connecting portion formed inside the shield member. The protective outer shield is connected to the first outer connecting portion via the inner connecting portion in order to cover and protect the connector main body. The protective outer shield is installed onto an installation portion of a telecommunication box via the second outer connecting portion. Consequently, it is able to cover and protect the connector main body from damages due to cold weather while maintaining the overall weight with a slight increase only.