Channel routing optimization using a genetic algorithm

A modified approach for the application of Genetic Algorithm (GA) to the Channel Routing Problem has been proposed. The code based on the algorithm proposed in [1] has been implemented for the GA procedures of Initial Population Generation, Crossover, Mutation and Selection. A few improvements over the existing work have been made and the results so far obtained have been encouraging. Further experimentation is being done on the algorithm and other ideas generated during the development of the code are being implemented for faster convergence of the algorithm and for generation of more efficient results. Also application of variations of the GA technique like Vector GA and even other computationally intelligent techniques like Particle Swarm Optimization to the channel routing problem is being thought of

Performance analysis of single slope solar still using sensible heat storage material

Direct sunlight has been utilized long back for distillation of water. For supplying desalinated water to small communities nearby coastal remote areas solar distillation plants are used. Solar stills are easy to construct, can be done by rural people from locally available materials, simple in operation by unskilled personnel, no hard maintenance is required and almost no operation cost. In order to increase the efficiency of a solar still sensible heat storage materials such as marbles, pebbles, blue metal stone, basalt stone etc. We have used to improve the efficiency of solar still. While using the sensible heat storage material distillation process will continue in both day and night

GC-MS analysis of yellow pigmented Macrococcus equipercicus isolated from alfalfa rhizosphere soil fields of Coimbatore

The rhizosphere of plant possesses important microflora, which secretes wide chemical compounds including secondary metabolites necessary for plant growth and development. The microbial flora of alfalfa plant rhizosphere soil region was explored for functional activity and we found upto ten different pigmented colonies. Due to good functional diversity, this yellow pigmented colony was taken for further studies. Thus, the culture was molecularly characterized and identified for potent bioactive components responsible for antimicrobial activity. The selected culture mass was cultured and secondary metabolites were produced and extracted using ethyl acetate and subjected to GC-MS analysis. The antimicrobial study revealed selective activity against Streptococcus pneumonia, and Proteus sp with zone of inhibition to be 18 and 20 mm respectively.  Molecular identification of the isolate by 16S rRNA sequencing showed the isolate as Macrococcus equipercicus with 100 % similarity. Based on GC-MS analysis report 25bioactive compounds were identified and 13-docosenamide, hexadecanoic acid esters and quercetin were found in ethyl acetate extract. Conclusion: Thus the yellow pigmented gram positive cocci M.equipercicus isolated from Medicago sativa possessed wide antibacterial activity due to presence of quercetin. Through the studies, we were able to identify potent antibacterial compound producing bacteria from M. sativa plant rhizosphere soil

Impregnation of S-layer protein isolated from extremophilic Bacillus Licheniformis NARW 02 onto titanium phosphate ceramic enhances uranium removal from aqueous solution

In the present study, bioceramic was prepared by impregnating surface layer protein (S-layer) isolated from extremophilic bacteria Bacillus licheniformis NARW 02 onto sol–gel-derived titanium phosphate (TiP) ceramic. The prepared bioceramic was used for adsorption of uranium ions from aqueous solution and compared with control lacking S-layer protein. The distribution coefficient value of TiP and bioceramic for uranium adsorption was 100.65 and 432.48 ml/g respectively. This study indicates that the bacterial S-layer can be potentially used to enhance the adsorption efficiency of the ceramics used in separation of uranium from waste water

Factors Associated With 5-Year Glaucomatous Progression In Glaucoma Suspect Eyes: A Retrospective Longitudinal Study

Purpose: To study the association of 5-year glaucomatous progression with several demographic, clinical, visual field and optical coherence tomography (OCT) variables in glaucoma suspect eyes. Methods: A retrospective chart review of 365 eyes of 288 patients were included (323 eyes with suspicious cup-to-disc ratio and 42 eyes with ocular hypertension). The study subjects were divided into two groups: eyes that progressed to glaucoma and those that did not. We calculated the percentage of glaucoma suspect eyes that progressed to glaucoma within 5 years. The inclusion criteria were glaucoma suspect eyes (i.e., suspicious cup-to-disc ratio and/or intraocular pressure \u3e21 mm Hg), age ≥ 30 years old, follow-up time of 5 years, best-corrected visual acuity 20/100 or better, spherical equivalent better than −8 diopters and astigmatism less than 3 diopters. We excluded eyes with any significant retinal or neurological disease, and glaucoma which was determined by at least 2 consecutive reliable visual field tests regardless of the appearance of the optic disc. Results: Bivariate analysis showed eyes that progressed to glaucoma had significantly worse mean deviation, higher pattern standard deviation (PSD), less visual field index, thinner average, superior, and inferior retinal nerve fiber layer thickness (RNFL), and more severe average, superior, and inferior RNFL damages (i.e., color grading scale) at baseline. Logistic regression analysis showed only PSD and severe inferior RNFL damage (i.e., red color) were significantly associated with 5-year glaucomatous progression. Conclusions: Segmental RNFL damage and PSD are associated with 5-year glaucomatous progression in glaucoma suspect eyes

High Electricity Generation using Oscillations of Pendulum

Power generation is one of the major factors in the recent years. To reduce this problem resources like solar energy, wind energy, thermal energy, hydel energy, nuclear energy, etc. have been used. Since with all these above energy resources, we are facing power crisis due to many factors. Future energy sustainability depends heavily on how the renewable energy problem is addressed in the next few decades. The main problems with these energy sources are cost and availability. Wind and solar power are not always available where and when needed. So to avoid these problems renewable energy sources can be used. In this project, the simple pendulum concept is used. The simple pendulum setup with gear mechanism and wiper motor through a PIC microcontroller and relay is employed as it does not require large external energy. The gear mechanism and wiper motor is used along the simple pendulum in order to obtain continuous oscillations where the mechanical energy is converted into electrical energy

CLOSED LOOP CONTROL FOR MULTI LEVEL DC – DC CONVERTER USING NEURAL NETWORKS

Multilevel DC - DC converter system is the novel development system which may be used as a DC link where several levels of controlled voltages are needed with unidirectional current flow and self balancing. The concept Multilevel is able to be implemented for both Buck converter and Boost converter. For multiple outputs, multilevel converter topology can be extended. This proposed paper shows the method of neural network controller implementation for the Multilevel DC - DC converters. The purpose of this is to decrease the output voltage ripple content and to vanish peak overshoots due to transients in order to improve the system performance. And finally the output voltage of more accuracy is achieved in this method. The losses existing in the conventional DC-DC converter can be eliminated by using this proposed converter. In this paper the MATLAB simulation of control of multilevel DC - DC Buck boost converter with the help of neuro controller is obtained using the software MATLAB simulink model and then the final results of this converter for neuro controller is compared