[PDF] Top 20 ¿Hacia un nuevo concepto de trascendentalismo?.

... To validate the proposed algorithms for the 3D problem, the crack propagation in 3D specimen (0.211 x 0.1 x 0.1 m) was visualized. As in the 2D problem, the tension was applied via the prescribed velocity (u = ... See full document

... One of the limitations of our framework is that it is difficult to encourage adoption of the terminology such as the name of an algorithm. The transfer of knowledge in lec- ture classes would require the teacher ... See full document

... grade attribute in), however, students grade in course 1 and course 2 ...grade attribute) using visualization and clustering techniques were found much easier, less complicated, and more timely ... See full document

... information based on manual completion. This is called concept-based or text-based image ...images based on their content, titles, or background ...content based image retrieval (CBIR) ... See full document

... Elgammal encryption system is based on Diffie-Hellman key exchange which is an asymmetric key encryption algorithm for public key cryptography. The system provides an additional layer of security by ... See full document

... limited visualization area, accurately tracking the instrument locations during the surgery, interpreting images from different modalities without ambiguity, high speed visualization of large amount image ... See full document

... With the advent of Information Technology many research works are going on medical data collection. But most of the works are facing shortcomings in management of data. A huge amount of data that is generated by ... See full document

... of crack sensing by conductive CNT networks in polymers and fibrous ...a crack sensing methodology by means of a meso-scale model and a parametric study and the final implementation of the crack ... See full document

... condition attribute is the most important for the last decision, so we must consider the mutual information between condition attribute and decision ...the attribute importance by the increasing ... See full document

... The model encodes the latent temporal patterns on the basis of user visits to the web pages. We found that some works are faster and better in finding new pages. According to browsing activities of users, we can ... See full document

... making algorithm ID3 was used for tasks such as learning good game playing strategies for chess end ...values based on the gain in information that the split or splits ... See full document

... and attribute cohesiveness, but it does not consider the attribute type-value pair for the attribute ...one attribute type, it is necessary to identify the influential attribute ... See full document

... This research, surveys the list of existing cloud security techniques and different mechanisms. This research also presents a new model for the cloud security & integrity which introduces the new security mechanism ... See full document

... In rough set theory, the notion of dependency is de- fined very simply. Let us take two (disjoint) sets of at- tributes, set P and set Q, and inquire what degree of de- pendency obtains between them. Each ... See full document

... encountered in developing terrain-based applications in GIS field: spatial database management and fast interactive visualization (Kofler, 1998). These two obstacles take into account with the capabilities ... See full document

... sophisticated attribute selection methods in a preprocessing step. An attribute selection method outputs only a subset of relevant attributes to be given to the classification algorithm, which ... See full document

... 1. “The Advanced TOA Trilateration Algorithms with Performance Analysis”, IEEE-2016 by Sajina Pradhan, Seokjoo Shin, Goo-Rak Kwon, Jae-young Pyun, and Suk-seung Hwang states about the time of arrival (TOA) trilateration, ... See full document

... k-means algorithm modifies the spherical k-means algorithm (SPKM), using online update (for cluster centroids) based on the well-known Winner-Take- All competitive ...study based on these ... See full document

... One of the possible criteria for recognizing significant locations is the frequency of certain movement-related events occurring in these locations. Which events are relevant, depends on the characteristics of the ... See full document

... arises from the mathematical formula, which is used to combine the distances between the single components of the data feature vectors into a unique distance measure. That can be used for clustering purposes as different ... See full document