Abstract: A portable electronic device including a first body, a second body, and a hinge mechanism is provided. The second body is connected to the first body through the hinge mechanism, and the hinge mechanism has a basis axis located at the first body and a rotation axis located at a lower end of the second body. When the second body rotates with respect to the first body, the rotation axis slides along an arc shaped path with respect to the basis axis to increase or decrease a distance between the rotation axis and the basis axis and increase or decrease a distance between the lower end of the second body and a back end of the first body.

Abstract: A data compression system and a data compression method using the same are provided. The data compression method includes acquiring original data from a memory and performs image processing and quantization on the original data to transform the original data into a quantization matrix. The data compression method then transforms the quantization matrix into a digital sequence based on a coding table and compares the data volume of the digital sequence and a target volume to generate a volume difference. The data compression method transforms the digital sequence into an inverse quantization matrix based on the volume difference and then transforms the inverse quantization matrix into a modified digital sequence based on the volume difference. The data compression method repeats the processes until the data volume of the digital sequence is substantially equal to a target volume or within an acceptable range of the target volume.

Abstract: A data compression system and a data compression method using the same are provided. The data compression method includes acquiring original data from a memory and performs image processing and quantization on the original data to transform the original data into a quantization matrix. The data compression method then transforms the quantization matrix into a digital sequence based on a coding table and compares the data volume of the digital sequence and a target volume to generate a volume difference. The data compression method transforms the digital sequence into an inverse quantization matrix based on the volume difference and then transforms the inverse quantization matrix into a modified digital sequence based on the volume difference. The data compression method repeats the processes until the data volume of the digital sequence is substantially equal to a target volume or within an acceptable range of the target volume.

Abstract: A Pseudo Bipolar Junction Transistor(Pseudo-BJT) based retinal focal-plane sensing system is an instant image sensing and front-end processing system with the advantages of high dynamic range and instant image processing. In addition, the system proposes a Pseudo-BJT based retinal focal-plane sensor with adaptive current Schmitt trigger and smoothing network for applying a new Pseudo-BJT circuit structure to mimic parts of functions of the cells in the outer plexiform layer of the real retina. It is suitable to resolve the existing technical drawbacks performing major functions in optical image detecting circuits, such as image recognition, image tracing, robot vision, bar-code/character readers, etc.

Abstract: A Pseudo Bipolar Junction Transistor(Pseudo-BJT) based retinal focal-plane sensing system is an instant image sensing and front-end processing system with the advantages of high dynamic range and instant image processing. In addition, the system proposes a Pseudo-BJT based retinal focal-plane sensor with adaptive current Schmitt trigger and smoothing network for applying a new Pseudo-BJT circuit structure to mimic parts of functions of the cells in the outer plexiform layer of the real retina. It is suitable to resolve the existing technical drawbacks performing major functions in optical image detecting circuits, such as image recognition, image tracing, robot vision, bar-code/character readers, etc.