The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents an algorithm for folding a serial revolute chain into a rigid structure of essentially any desired planar shape. The algorithm is fast (linear in the number of links), and the constructed folding plan only requires an actuation method that sequentially folds triangles as the pattern is laid out, maintaining incremental rigidity of the structure during folding.
Manufacturing resources model is the most important part of virtual manufacturing. This study demonstrates the information expressing model of manufacturing resources, which can be separated into virtual control model, real model and functional model of virtual manufacturing devices. The study also indicates the relationship among three parts and presents the modeling methods.
The well known fuzzy partition clustering algorithms are most based on Euclidean distance function, which can only be used to detect spherical structural clusters. Many improved algorithms have been developed to detect non-spherical structural clusters. In our previous work, vectors were represented as objects of the feature space, we found that the difference of vectors can reflect the shape similarity...
Similarity judgments are considered to be a valuable tool in the study of human perception and cognition, and play a central role in theories of human knowledge representation. Generally, a multidimensional vector is treated as a point of the feature space, we calculate the distance between the points to measure the similarity. The most popular distance measures maybe Euclidean distance and Manhattan...
The experiment used signal detection theory to study the way information encoded in the short-term memory, taking Chinese character and English word as materials. The results of the experiment showed that the subjects could choose different ways of encoding flexibly, according to variable stimulus situations. Acoustic code was found may be the main encoding mode in this experiment. Yet the experiment...
A non-metric distance measure for similarity estimation based on the characteristic of differences is presented. This kind of distance is implemented in the well-known k-means clustering algorithm. To demonstrate the effectiveness of the distance we proposed, the performance of this kind of distance and the Euclidean and Manhattan distances were compared by clustering Iris dataset from the UCI repository...
T-Bezier curves and surfaces whose basis functions are constructed from the trigonometric polynomials, have properties similar to those of Bezier curves and surfaces. But they have more wide representations which can express arcs, cylinders and other transcendental curves and surfaces. In this paper, we discuss one kind of bi-cubic T-Bezier surfaces and provide the sufficient conditions of G1 continuity...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.