Generalized projective series synchronization between chaotic systems and its application

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Optimization of Moulding Composition for Quality Improvement of Sand Casting

Sand casting is a versatile and commonly used manufacturing process in the metal casting industry. This method can be used in almost all types of metal and the sand is recyclable. However, the defects in casting production such as blowholes, pinholes, shrinkage, and porosity cause imperfection in green sand moulding. The aim of this project is to optimise the composition of silica sand, bentonite, water, and coal dust in green sand to reduce the defects in the casting products using the 24-factorial experiment design method, which can produce a total of 16 runs for experiment to investigate the ratio of the four parameters. Then the experiment results of compression strength are collected and the composition effect of green sand was investigated. The results shows value of the adjusted R-square indicated that 86.92% of the total variability was explained by the model and the model predicted and actual fitted well with the experiment data. An analysis using the Design Expert software identified that bentonite and water are the main interaction effects in all of the experiments. The optimal settings for green sand composition are 95g silica sand, 24g bentonite, 8g water, and 8g coal dust. This composition has an effect of compression strength 35kN/m2

Biometric identification using local iterated function

Biometric identification protocol has been received an increasing interest recently. It is a process that determines person identity by making use of their biometric features. A new biometric identification method is presented in this paper based on partial self-similarity that used to identify features within fingerprint images. This approach is already used in Fractal Image Compression (FIC) due to their ability to represent the images by a limited number of affine transformations, and its variation of scale, translation or rotation. These features give the recognition process high impact and good performance. To process data in a fingerprint image, it first converted into digital format using Optical Fingerprint Reader (OFR). The verification process is done by comparing these data with the server data. The system analysis shows that the proposed method is efficient in terms of memory and time complexity

Cosine chaotification technique to enhance chaos and complexity of discrete systems

We hereby propose a cosine chaotification technique (CCT), which has simple structure, complex nonlinear dynamics and bounded orbits, to enhance the chaotic behavior as well as the complexity performance of discrete chaotic systems. To demonstrate the effectiveness of the CCT, we apply the CCT on three different examples, including one-dimensional (1D) logistic map, two population chaotic maps, and the three-dimensional (3D) Hénon map. Performance evaluations prove that the CCT can change the chaotic and non-chaotic states of these maps to chaotic or hyperchaotic state with higher complexity performance. Besides that, the generated maps by CCT have wider chaotic and hyperchaotic behaviors than the existing chaotic maps

A systematic survey of floral nectaries

The construction of classifications, as well as the understanding of biological diversity, depends upon a careful comparison of attributes of the organisms studied (Stuessy, 1990). It is widely known that data from diverse sources showing differences from taxon to taxon are of systematic significance. Dur-ing the 20th century, systematists have emphasized that their discipline involves a synthesis of all knowledge (Stevens, 1994) or, in other words, the variation of as many relevant characters as possible should be incorporated into the natural system to be constructed. The extent to which particular characters are constant or labile will determine their usefulness to syste-matics. In general, more conservative characters will be valuable in defining families and orders, whereas more labile characters may be useful at the ge-neric and specific levels (Webb, 1984). There is no doubt that floral characters are among the most used in the classification of flowering plants. At the same time, they constitute essential features in diagnostic keys to taxa in both taxonomic treatments and Floras (Cronquist, 1981, 1988).Fil: Bernardello, Gabriel Luis Mario. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentin