Automatic vision-based inspection systems have played a key role in product quality assessment for decades through the segmentation, detection, and classification of defects.Historically, machine learning frameworks, based on hand-crafted feature extraction, selection, and validation, counted on a combined approach of parameterized image processing

This paper describes the motion control of hyper redundant robots using a learning control scheme based on linear combination of error history.The learning control scheme is formulated with three elements: general solution of inverse kinematics with pseudo inverse of Jacobian matrix to achieve main task, condition to achieve several subtasks and co

Workpiece rigidity during end-milling processes decreases monotonously.Reduction rates of the rigidity become large when the end-milling operations have large cutting stock such as carve out machining.It becomes popular to utilize side-face clamping methods because of large accessibility of cutting tools.However, workpiece rigidities directly affec

Normal central nervous system development relies on accurate intrinsic cellular programs as well as on extrinsic informative cues provided by extracellular molecules.Migration of neuronal progenitors from defined proliferative zones to Canteen their final location is a key event during embryonic and postnatal development.Extracellular matrix compon