The grasping force of traditional under-actuated hands can hardly be kept during grasping. It is a crucial task to improve the grasping forces of robotic hands. Changeable grasping forces unit is one of the most effective solutions. This paper proposed a linkage changeable grasping force (CGF) unit integrated with linkage under-actuation mechanism in accordance with summary of proceeding work o...

Most of data in Multi-attribute decision making (MADM) problems are changeable rather than constant and stable. Therefore, sensitivity analysis after problem solving can effectively contribute to making accurate decisions. In this paper, we offer a new method for sensitivity analysis in multi-attribute decision making problems in which if the weights of one attribute changes, then we can determ...

The quick training algorithms and accurate solution procedure for incremental learning aim at improving the efficiency of training of SVR, whereas there are some disadvantages for them, i.e. the nonconvergence of the formers for changeable training set and the inefficiency of the latter for a massive dataset. In order to handle the problems, a new training algorithm for a changeable training se...

The environment of small and medium-sized enterprises (SMEs) in Germany is characterized by constantly changing boundary conditions. To cope with these external influences, these enterprises have to adapt their internal organization structures and processes permanently. However, necessary changes often cannot be realized due to the rigidity of today’s order management information systems (OMS)....

Applications of Mobile Technology in business in the current environment are characterised by a critical reliance on a diversity of highly complex and often competing technology infrastructures and architectures. Classification models are often very descriptive and orient themselves more on the overt attributes than on the underlying qualities. Recent models, however, apply a wider set of conce...

Previous studies have shown that people’s memories are changeable, and systematic incorrect memories (e.g., false memory) can be created. We hypothesize that people’s beliefs about the real world can be changed similarly to the way systematic incorrect memories and systematic incorrect beliefs (which we call memory-based false belief) are generated. We also predict that since memory-based false...

In this paper, a unified framework for classifying facial attributes is presented. Facial Attribute-Specific Subspace (FASS) is firstly proposed to represent each specific facial attribute. Then a framework is provided to classify facial images based on FASS and the Minimum Reconstruction Error (MRE) rule. The proposed framework is motivated by, but essentially different from the conventional E...

People track facial expression dynamics with ease to accurately perceive distinct emotions. Although the superior temporal sulcus (STS) appears to possess mechanisms for perceiving changeable facial attributes such as expressions, the nature of the underlying neural computations is not known. Motivated by novel theoretical accounts, we hypothesized that visual and motor areas represent expressi...