Adaptive Dynamic Inverse Controller for Advanced Coupled Tank Liquid Levels System

Inversion technique has been successfully applied in the tracking control of many Multi Input Multi Output (MIMO) process of engineering as well as science. The difficulty in controller design on account of variations in process dynamics as well as interactions between process variables. In this paper, the combination of neural network and dynamic inversion control is applied in Coupled Tank System (CTS) tracking water level problem. The liquids need to be pumped in total process and stored in the two tanks which are coupled together for certain desired level. Transfer function matrix of the system is gained experimentally from the tension loop response of the system. The PID neural network (PID-NN) controller used as a desired system control. Within MATLAB environment, conduction of simulate experiment is to testify the operation of the system according to Settling Time, Rise Time, Steady State Error and Overshoot. Numerical simulations and experiments have both been conducted to prove the validity of the proposed method. It has been attested that capabilities of CTS are ameliorated by suggested proposed method

Applications of Genomic Selection in Poultry

Here we describe the application of genomic selection in both layer and broiler breeder populations. A brown egg layer line was partitioned into two sub-lines, one used for genomic selection and the other as a pedigree selected control. Generation interval in the genomic sub-line was halved and the sub-line size was reduced compared to the traditionally-selected control. The genomic sub-line outperformed pedigree-selected contemporaries in 12 of 16 traits evaluated, and genomic estimated breeding values were more accurate and persistent than pedigree-based estimates. Genome wide association studies for all available traits identified several regions associated with economically important traits. Similar improvements in prediction accuracy were observed in broilers. Estimation of the Mendelian sampling term for full sibs without own phenotypic information contributed to this gain. The development of robust imputation methods enabled the implementation of genomic selection into the routine evaluations to accelerate genetic progress

Response and inbreeding from a genomic selection experiment in layer chickens

International audienceGenomic selection (GS) using estimated breeding values (GS-EBV) based on dense marker data is a promising approach for genetic improvement. A simulation study was undertaken to illustrate the opportunities offered by GS for designing breeding programs. It consisted of a selection program for a sex-limited trait in layer chickens, which was developed by deterministic predictions under different scenarios. Later, one of the possible schemes was implemented in a real population of layer chicken.MethodsIn the simulation, the aim was to double the response to selection per year by reducing the generation interval by 50 %, while maintaining the same rate of inbreeding per year. We found that GS with retraining could achieve the set objectives while requiring 75 % fewer reared birds and 82 % fewer phenotyped birds per year. A multi-trait GS scenario was subsequently implemented in a real population of brown egg laying hens. The population was split into two sub-lines, one was submitted to conventional phenotypic selection, and one was selected based on genomic prediction. At the end of the 3-year experiment, the two sub-lines were compared for multiple performance traits that are relevant for commercial egg production.ResultsBirds that were selected based on genomic prediction outperformed those that were submitted to conventional selection for most of the 16 traits that were included in the index used for selection. However, although the two programs were designed to achieve the same rate of inbreeding per year, the realized inbreeding per year assessed from pedigree was higher in the genomic selected line than in the conventionally selected line.ConclusionsThe results demonstrate that GS is a promising alternative to conventional breeding for genetic improvement of layer chickens

Modala Sahasramanada Kannada Sasanagalu (Kannada Inscriptions of the first millennium)

'ಮೊದಲ ಸಹಸ್ರಮಾನದ ಕನ್ನಡ ಶಾಸನಗಳು' ಶಾಸನ ಸಂಪುಟವನ್ನು ಲೇಖಕ ಷ.ಶೆಟ್ಟರ್‌ ಅವರು ರಚಿಸಿದ್ದಾರೆ. ಹತ್ತೊಂಬತ್ತನೆಯ ಶತಮಾನದ ಕೊನೆಯ ದಶಕದಿಂದ ಈವರೆಗೆ ಪ್ರಕಟವಾಗಿರುವ ಹಳಗನ್ನಡ ಶಾಸನಗಳೆಲ್ಲವನ್ನೂ ಸಂಗ್ರಹಿಸಿ ಮತ್ತೊಂದು ವಿಧಾನದಲ್ಲಿ ಸಂಪಾದಿಸುವ ಪ್ರಯತ್ನವನ್ನು ಈ ಕೃತಿಯಲ್ಲಿ ಮಾಡಲಾಗಿದೆ. ಸುಮಾರು ಎರಡು ಸಾವಿರ ಹಳಗನ್ನಡ ಶಾಸನಗಳನ್ನು ಮತ್ತೊಮ್ಮೆ ಸಂಪಾದಿಸಿ ಪ್ರಕಟಿಸಿವುದು ಈ ಅಧ್ಯಯನದ ಉದ್ದೇಶವಾಗಿದೆ. ಈ ಕೃತಿಯ ಅನುಕರಮದಲ್ಲಿ ಗಂಗ ಸತ್ಯವಾಕ್ಯ ಪೆರ್ಮನಡಿ, ರಾಷ್ಟ್ರಕೂಟ ಕೃಷ್ಣ 2, ಕನ್ನರದೇವ, ನೀತಿಮಾರ್ಗ ಪೆರ್ಮನಡಿ, ಮಹಾವಳಿ ಬಾನರಸ, ನೀತಿಮಾರ್ಗ, ಸತ್ಯವಾಕ್ಯ ಪೆರ್ಮನಡಿ, ರಾಷ್ಟ್ರಕೂಟ ಅಮೋಘವರ್ಷ, ಗಂಗಾ ಶಿವಕುಮಾರ, ದುಗ್ಗಮಾರ,ವಿಕ್ರಮಾದಿತ್ಯ ಜಯಮೇರು, ಮೈದುಂಬರು, ವಿಜಯಾದಿತ್ಯ ಮಾರಮ್ಮ, ಎರೆಯಪ್ಪರಸ, ಬಾದಾಮಿ ಚಾಲುಕ್ಯ, ಪಲ್ಲವ ಸುಭತುಂಗ, ಗಂಗ ಸತ್ಯವಾಕ್ಯ, ಗಂಗ ನೀತಿಮಾರ್ಗ, ರಾಷ್ಟ್ರಕೂ ಅಕಾಲವರ್ಷ, ರಾಚಮಲ್ಲ, ಎರಡನೆಯ ಕೃಷ್ಣ, ಕನ್ನರವಲ್ಲಬ, ಕನ್ನಡಿ ಅರಸ, ಪಲ್ಲವರಾಮ, ನೊಳಂಬ, ನೊಳಂಭಾದಿರಾಜ, ಅಯ್ಯಪದೇವ, ಅಮ್ಮಣದೇವ, ಮಾದಿವರ್ಮ, ವೈದುಂಬ ಮಹಾರಾಜ, ಬಳರ ಚರಿತ್ರ, ಬಳರ ಹರಿತಿ,ರಾಜಮಲ್ಲ ಸತ್ಯವಾಕ್ಯ, ವಿಕ್ರಮಾದಿತ್ಯ ಸಾನ್ತರ, ನೀತಿಮಾರ್ಗ ಎರೆಗಂಗ, ರಾಷ್ಟ್ರಕೂಟ ಅಕಾಲವರ್ಷದೇವ ಮುಂತಾದ ಅನುಕ್ರಮಗಳನ್ನು ಹೊಂದಿದೆ