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This paper aims at building a portable robotic hand for physically disabled people to perform basic hand movements. Surface Electromyography(EMG) signal is collected from muscles of human forearm to extract the subject's intentions of action, where six kinds of gestures are selected for discussion. An Artificial Neural Network(ANN) is trained and utilized to distinguish the desired movement according...
X-ray real-time digital imaging technique is applied in getting log image without log destruction. This paper presents the average density value of the specific spot of log is measured quickly and exactly according to log perimeter and log image information using the method of artificial neural network. According to the basic knowledge of X-ray testing technique, the method of getting high quality...
Log image was acquired by X-ray real-time digital imaging system without log destruction. This paper presents the average density value of the specific spot of log is measured quickly and exactly according to log perimeter and log image information using the method of artificial neural network. According to the basic knowledge of X-ray testing technique, the method of getting high quality digital...
This paper introduces a novel pattern classification approach called l1 norm nearest neighbor convex hull (l1 NNCH) approach and applies it for PCA-based face classification. In l1 NNCH, l1 norm distance from a query to a convex hull of a class is defined as the similarity of nearest neighbor rule. Principle component analysis (PCA), as an efficient technology for extracting feature, is applied...
With an aging underground long-distance oil/gas pipeline, ever-encroaching population and increasing oil price, the burden on pipeline agencies to efficiently prioritize and maintain the rapidly deteriorating underground utilities is increasing. Failure rate prediction is the most important part of risk assessment, and the veracity of the failure rate impacts the rationality and applicability of the...
Contrasting to the original method of identifying the types of wood defects which requires the experienced technical staff with good discrimination to consider the characteristics of wood defects in the image, this paper presents a new method which can identify the types of internal wood defects rapidly and accurately by BP neural network which can analyse the visual characteristics parameters of...
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