All Optical Packet Processing in Optical Network

No Abstrac

Engineering design of woven fabrics—A recent approach

315-322The fabric engineering is still largely based on experience and trial and error. The major task is to develop comprehensive and user- friendly program packages with database on fibre, yarn and fabric properties by the application of fabric objective measurement technology, a knowledge-based expert system to provide graphical tools and numerical solutions for the fabric designer and engineer to meet the needs of fabric manufacturers. Compared to mathematical modeling, artificial neural network can be a powerful tool to model the non -linearities and complexities involved in the predictions of fabric proprieties. Artificial neural network embedded expert system can be developed to aid in engineering the design of woven fabric

Engineering design of polyester-viscose blended suiting fabrics using radial basis function network: Part I — Prediction of fabric low-stress mechanical properties

401-408A complete engineering design of polyester-viscose blended suiting fabrics has been presented using radial basis function neural network algorithm. Fabric low-stress mechanical properties, such as extension, bending rigidity, shear rigidity, breaking strength have been predicted from the structural parameters of the fabric such as weave, yarn tex, thread density, crimp, fabric mass and fabric cover. It is observed that the radial basis function neural network could successfully predict the trends in variation of fabric property with corresponding change in structural parameters

Engineering design of polyester-viscose blended suiting fabrics using radial basis function network: Part II—Prediction of fabric constructional parameters from its properties

489-495The application of artificial neural network approach to re-engineer the design of woven polyester-viscose blended suiting fabric to be used by the weavers has been described. The fabric constructional parameter have been predicted for specific fabric property requirements using the same network with an approach called reverse engineering. It is observed that the radial basis function neural network could successfully predict the trends in variation of fabric constructional parameters. Evaluation of the model for each fabric property specification shows good agreement between predicted and generally accepted fabric and yarn structure-property relationships

Flexural strength of surface-treated heat-polymerized acrylic resin after repair with aluminum oxide-reinforced autopolymerizing acrylic resin

Background: A fracture of denture base in situ often occurs through a fatigue mechanism, which over a period of time leads to the formation of small cracks, resulting in fracture. Aim and Objective: To evaluate the flexural strength of repaired heat-polymerized acrylic resin, with different percentage of aluminum oxide (Al2O3) added to the repair resin and effect of two different surface treatments on the flexural strength of repaired heat-polymerized acrylic resin and also to evaluate quantification of filler particles using scanning electron microscopy. Materials and Methodology: Fifty specimens of heat-polymerized acrylic resin were prepared according to the American Dental Association specification no. 12 (65 mm × 10 mm × 2.5 mm). Al2O3<50 nm particle size was silanized using metal alloy primer before incorporation in polymer. Two different percentages of Al2O3nanoparticles, that is, 1% and 1.5% were added to autopolymerizing acrylic resin which was used as repairing material. Results: The study showed that repair resin incorporated with 1.5% Al2O3in the group surface treated with silicon carbide paper improved the flexural strength of denture base resin. A proper filler distribution and deep penetration within the polymer matrix were observed by scanning electron microscope in the same group

Metastatic tumors to the jaw bones: Retrospective analysis from an Indian tertiary referral center

Aim: Being a tertiary referral center, we encounter the highest number of oral cancer patients in India, and there is direct involvement of the jaw bone in approximately 40% of these cases. There are no large case series from the Indian subcontinent on metastatic tumors to the jaw bones. With this retrospective analysis, we intend to estimate the incidence of this rare manifestation in the jaw bones in our patients and compare it with the available literature. Materials and Methods: All patients with biopsy proven metastatic disease involving jaw bones having complete clinical data were included. Results: Nineteen out of 10,411 oral cancer patients who reported between the years 2000 and 2005 were included. Breast and thyroid malignancies (5/19 each) were commonest in the females to metastasize to the mandible, whereas in the males, there was no predominant site that resulted in jaw bone metastasis, although mandible was commonly affected. Neuroblastoma of adrenal gland metastasized to maxilla in the age group ranging from 4 months to 16 years. Maxilla was the commonest jaw bone affected in this age group. In five cases, jaw bone was found to be the first site of metastasis. Conclusions: There is variation in the primary site that causes metastasis to the jaw bones depending on age, sex and geographic distribution. Jaw bone metastases are rare and can be the first site of metastasis. We get approximately four cases in a year with metastatic disease manifesting in the jaw bones. Metastasis to jaw bone is associated with poor prognosis

Metastatic tumors to the jaw bones: Retrospective analysis from an Indian tertiary referral center

Aim: Being a tertiary referral center, we encounter the highest number of oral cancer patients in India, and there is direct involvement of the jaw bone in approximately 40% of these cases. There are no large case series from the Indian subcontinent on metastatic tumors to the jaw bones. With this retrospective analysis, we intend to estimate the incidence of this rare manifestation in the jaw bones in our patients and compare it with the available literature. Materials and Methods: All patients with biopsy proven metastatic disease involving jaw bones having complete clinical data were included. Results: Nineteen out of 10,411 oral cancer patients who reported between the years 2000 and 2005 were included. Breast and thyroid malignancies (5/19 each) were commonest in the females to metastasize to the mandible, whereas in the males, there was no predominant site that resulted in jaw bone metastasis, although mandible was commonly affected. Neuroblastoma of adrenal gland metastasized to maxilla in the age group ranging from 4 months to 16 years. Maxilla was the commonest jaw bone affected in this age group. In five cases, jaw bone was found to be the first site of metastasis. Conclusions: There is variation in the primary site that causes metastasis to the jaw bones depending on age, sex and geographic distribution. Jaw bone metastases are rare and can be the first site of metastasis. We get approximately four cases in a year with metastatic disease manifesting in the jaw bones. Metastasis to jaw bone is associated with poor prognosis