A complete error calibration model with 12 independent parameters is established by analyzing the three-axis magnetometer error mechanism. The said model conforms to an ellipsoid restriction, the parameters of the ellipsoid equation are estimated, and the ellipsoid coefficient matrix is derived. However, the calibration matrix cannot be determined completely, as there are fewer ellipsoid parame...

The main motivation of the study is to prevent and optimize deviations in linear connections with complex calculations related previous next steps. This purpose used for more stable detection therefore segmentation object edge/corner regions Quality Control Systems Image Processing Artificial Intelligence algorithms produced by authors within Alpplas Industrial Investments Inc. dataset this are...

This paper presents an evolutionary algorithm for modeling the arrival dates of document streams, which is any time-stamped collection of documents, such as newscasts, e-mails, IRC conversations, scientific journals archives and weblog postings. This algorithm assigns frequencies (number of document arrivals per time unit) to time intervals so that it produces an optimal fit to the data. The op...

Reciprocity characterizes the information exchange between users in a network, and some empirical studies have revealed that social networks high proportion of reciprocal edges. Classical directed preferential attachment (PA) models, though generating scale-free networks, may give with low reciprocity. This points out one potential problem fitting classical PA model to given network dataset rec...

Evolutionary methods, such as genetic algorithms (GAs), provide powerful tools for optimization of the force field parameters, especially in the case of simultaneous fitting of the force field terms against extensive reference data. However, GA fitting of the nonbonded interaction parameters that includes point charges has not been explored in the literature, likely due to numerous difficulties...

Detailed mean field and Monte Carlo studies of the dynamic magnetization-reversal transition in the Ising model in its ordered phase under a competing external magnetic field of finite duration have been presented here. Approximate analytical treatment of the mean field equations of motion shows the existence of diverging length and time scales across this dynamic transition phase boundary. The...

Increasing evidence supports the hypothesis that amyloid -protein (A ) assembly is a key pathogenic feature of Alzheimer’s disease. Thus, understanding the assembly process offers opportunities for the development of strategies for treating this devastating disease. In prior studies, A was found to form micelle-like aggregates under acidic conditions. These structures exhibited an average obser...

Detailed mean field andMonte Carlo studies of the dynamic magnetizationreversal transition in the Ising model in its ordered phase under a competing external magnetic field of finite duration have been presented here. Approximate analytical treatment of the mean field equations of motion shows the existence of diverging length and time scales across this dynamic transition phase boundary. These...