Abstract: Semiconductor devices are provided. A semiconductor device includes a power switch, a first power mesh and a second power mesh. The power switch has a first terminal and a second terminal. The first power mesh is directly connected to the first terminal of the power switch. The second power mesh is directly connected to the second terminal of the power switch. The first power mesh includes a first power rail over the power switch and extending in a first direction. The second power mesh includes a second power rail under the power switch and extending in the first direction. The first and second power rails are separated from each other.

Abstract: An integrated circuit layout is provided. The integrated circuit layout includes one or more first cell rows partially extending across a space arranged for an integrated circuit layout along a first direction. Each of the one or more first cell rows has a first height along a second direction perpendicular to the first direction. The integrated circuit layout includes one or more third cell rows partially extending across the space along the first direction. Each of the one or more third cell rows has a second height along the second direction, the second height different from the first height.

Abstract: The invention provides an English word image recognition method, mainly loading a to-be-recognized image and performing a one-dimensional convolutional neural network operation and a fully connected operation processing to generate a feature map, outputting the feature map by a bidirectional long short-term memory (LSTM) network and performing a fully connected operation to generate a feature map, then performing a probability recognition and outputting a probabilistic string, and then recognizing the probabilistic string and outputting a word recognition result to solve the problem of producing a large amount of operation in the conventional two-dimensional recognition operation, thereby achieving efficacies of reducing costs of recognition equipment and enabling fast and accurate recognition.

Abstract: A method includes receiving a semiconductor substrate. The semiconductor substrate has a top surface and includes a semiconductor element. Moreover, the semiconductor substrate has a fin structure formed thereon. The method also includes recessing the fin structure to form source/drain trenches, forming a first dielectric layer over the recessed fin structure in the source/drain trenches, implanting a dopant element into a portion of the fin structure beneath a bottom surface of the source/drain trenches to form an amorphous semiconductor layer, forming a second dielectric layer over the recessed fin structure in the source/drain trenches, annealing the semiconductor substrate, and removing the first and second dielectric layers. After the annealing and the removing steps, the method further includes further recessing the recessed fin structure to provide a top surface. Additionally, the method includes forming an epitaxial layer from and on the top surface.

Abstract: The invention provides an English char image recognition method mainly generating a rectangular coordinate frame from a loaded English character image, finding a gravity center in the rectangular coordinate frame, obtaining feature points on the rectangular coordinate frame and around the gravity center, performing one-dimensional convolutional operation and processing on the feature points to generate six layer feature maps, and generating a character recognition result from the six layer feature maps to solve the problem of generating a large amount of computation in conventional two-dimensional recognition operation, thereby achieving an efficacy of reducing recognition equipment costs and enabling fast and accurate recognition.

Abstract: The invention provides an E13B image interpretation method mainly aiming at interpreting numbers and symbols in a check reading code printed with magnetic ink on a check, and defining a plurality of feature areas for each of the numbers and dividing each of the numbers into a plurality of blocks, and then interpreting according to whether an amount of magnetic ink being in the feature areas and a magnetic ink density between the blocks, and also generating a plurality of target pixels for each of the symbols, and then interpreting according to a relative position and a size of the target pixels.

Abstract: The invention provides an English char image recognition method mainly generating a rectangular coordinate frame from a loaded English character image, finding a gravity center in the rectangular coordinate frame, obtaining feature points on the rectangular coordinate frame and around the gravity center, performing one-dimensional convolutional operation and processing on the feature points to generate six layer feature maps, and generating a character recognition result from the six layer feature maps to solve the problem of generating a large amount of computation in conventional two-dimensional recognition operation, thereby achieving an efficacy of reducing recognition equipment costs and enabling fast and accurate recognition.

Abstract: The invention provides an E13B image interpretation method mainly aiming at interpreting numbers and symbols in a check reading code printed with magnetic ink on a check, and defining a plurality of feature areas for each of the numbers and dividing each of the numbers into a plurality of blocks, and then interpreting according to whether an amount of magnetic ink being in the feature areas and a magnetic ink density between the blocks, and also generating a plurality of target pixels for each of the symbols, and then interpreting according to a relative position and a size of the target pixels.