On Distributed Computation in Noisy Random Planar Networks

We consider distributed computation of functions of distributed data in random planar networks with noisy wireless links. We present a new algorithm for computation of the maximum value which is order optimal in the number of transmissions and computation time.We also adapt the histogram computation algorithm of Ying et al to make the histogram computation time optimal.Comment: 5 pages, 2 figure

Microbiological Quality of Meat Collected from Municipal Slaughter Houses and Retail Meat Shops from Hyderabad Karnataka Region, India

AbstractIn the present research work, 300 meat samples (50 beef, 50 carabeef, 50 chevon, 50 mutton, 50 pork and 50 chicken) collected from the municipal slaughter houses and the retail meat shops from Hyderabad Karnataka region of Karnataka state, India, were analyzed for the microbiological quality; standard plate count and isolation and confirmation of Staphylococcus, Salmonella, E. Coli, Listeria and Clostridium by selective plating, microscopic examination and biochemical characterization. As per Food Safety and Standards (FSS) regulations 2011, of the samples analyzed, 89 (29.66%) (21 beef, 26 carabeef, 9 chevon, 7 mutton, 14 pork and 7 chicken) samples exceeded the limit of 10,000 CFU/gram of total viable count. Twenty (6.66%) samples (8 beef, 9 carabeef and 3 pork) exceeded the limit for Staphylococcus (100/gram maximum), 15 (5%) samples (9 pork, 4 chicken and 2 mutton) exceeded the limit for Salmonella (absent in 25 gram) and 22 (7.33%) samples (11 pork, 4 chicken, 4 beef and 3 carabeef) exceeded the limit for E. Coli (100/gram maximum). None of the samples were positive for Listeria and Clostridium spp. The finding in this study specifies the probable contamination during farming and on-floor slaughtering and accentuates the requirement of the upgrading the municipal slaughter houses and training of retail outlet sellers

Modelling, analysis, and acceleration of a printed circuit board fabrication process

Product design and fabrication constitute an important business activity in any manufacturing firm. Designing an optimized product fabrication process is an important problem in itself and is of significant practical and research interest. In this paper, we look into a printed circuit board (PCB) fabrication process and investigate ways in which the fabrication cycle time can be minimized. Single class queueing networks constitute the modelling framework for our study. The model developed in this paper and the analysis experiments carried out are based on extensive data collected on a PCB fabrication company located in Bangalore, India. This is a representative PCB fabrication company involving multiple, concurrent fabrication works with contention for human/technical resources. Our model seeks to capture faithfully the flow of the fabrication process in this company and such other organisations, using queueing networks. Using the model developed, we explore how the cycle times can be reduced using input control, load balancing, and variability reduction. The model presented is sufficiently generic and conceptual; its scope extends beyond that of a PCB fabrication organization

Performance of direct seeded rice in Tungabhadra command area of Karnataka

A large scale demonstration was taken on direct seeded rice in four locations (one at ARS, and three at Farmers field in 50 acres each) in and around the Agricultural Research Station, Dhadesugur, University of Agricultural Sciences, Raichur, Karnataka. Our analysis showed that, the yield performance of direct seeded rice (DSR) varied with transplanted rice (TPR) and with different locations. This may be due to variety used and crop management practices adopted by the farmers. In L2, maximum grain yield was recorded in DSR (6500 kg/ha) and TPR (6200 kg/ ha) compared to other three locations. Further, the grain yield was higher in DSR compared to TPR in all the locations. Similarly, economics of DSR varied with TPR and with different locations. This may be due to yield variation at different locations. In L2, net returns and B:C ratio were higher in DSR (` 93628/ha and 3.93, respectively) and TPR (`79868/ ha and 3.0, respectively) compared to other three locations. Further, net returns and B:C ratio were higher in DSR compared to TPR. Further, 47% of the labour requirement was saved in DSR compared to TPR. Therefore, concluded that, farmers can grow rice by direct seeding instead of planting to save the labour and the expenditure

Physico-electrochemical Characterization of Pluripotent Stem Cells during Self-Renewal or Differentiation by a Multi-modal Monitoring System.

Monitoring pluripotent stem cell behaviors (self-renewal and differentiation to specific lineages/phenotypes) is critical for a fundamental understanding of stem cell biology and their translational applications. In this study, a multi-modal stem cell monitoring system was developed to quantitatively characterize physico-electrochemical changes of the cells in real time, in relation to cellular activities during self-renewal or lineage-specific differentiation, in a non-destructive, label-free manner. The system was validated by measuring physical (mass) and electrochemical (impedance) changes in human induced pluripotent stem cells undergoing self-renewal, or subjected to mesendodermal or ectodermal differentiation, and correlating them to morphological (size, shape) and biochemical changes (gene/protein expression). An equivalent circuit model was used to further dissect the electrochemical (resistive and capacitive) contributions of distinctive cellular features. Overall, the combination of the physico-electrochemical measurements and electrical circuit modeling collectively offers a means to longitudinally quantify the states of stem cell self-renewal and differentiation

Ferrock: A Carbon Negative Sustainable Concrete

In this fast-growing world, people are focusing on the infrastructural development, where construction sector plays an important role. Cement is the most prominent material being used in construction that emits approximately 6-8% of the total carbon dioxide in the world during its production which is the major constituent of global warming. Thus, focusing on the carbon emission reduction and also utilization of the waste products for a better environment, a product named Ferrock was constituted. This paper is a review over a product that is stepping towards carbon negativity and waste management. It shows the best usage of iron ore waste powder obtained during the mining process that is just dumped away from the mines, causing air pollution, health hazards and also consuming larger area. The product indirectly reduces the carbon dioxide released by its unique strength gaining mechanism, which is in contrary with that of the cement and thus stands out among many other supplements of cement. Ferrock involves a curing process with carbonation and air curing in varied number of days for better strength in terms of compression, tensile strengths and achieving desirable properties. Ferrock is thus a more promising eco friendlier binding material in terms of its carbon negativity and in best usage of the waste

Bio-efficacy of pyrazosulfuron ethyl 10% wp against weeds in transplanted rice

An experiment was conducted during Kharif 2012 and 2013 at Agricultural Research Station, Dhadesu-gur, University of Agricultural Sciences, Raichur, Karnataka, India, to evaluate the phytotoxicity and bio efficacy of pyrazosulfuron ethyl 10 % WP (wettable Powder) @ 5, 10, 15 and 20 g a.i./ha against the weeds in transplanted rice. Sprays of Saathi (Market Sample) @ 15 g a.i./ha (gram active ingredient/hectare), Pretilachlor 50% EC @ 500 ml a. i/ha, hand weeding at 15 and 40 days after planting (weed free check) and a weedy check (untreated check) were also maintained. The dominant weeds were Echinochloacolona, Panicum repens, Cynodondoctylon, Lud-wigiaparviflora, Leptochloachinensis and Cyperus sp. Application of pyrazosulfuron ethyl 10 % WP @ 20 g a.i./ha was recorded significantly higher grain yield (6266 kg/ha) by controlling the associated weeds in transplanted rice without any phytotoxic effect

Derivation of an eigenvalue probability density function relating to the Poincare disk

A result of Zyczkowski and Sommers [J.Phys.A, 33, 2045--2057 (2000)] gives the eigenvalue probability density function for the top N x N sub-block of a Haar distributed matrix from U(N+n). In the case n \ge N, we rederive this result, starting from knowledge of the distribution of the sub-blocks, introducing the Schur decomposition, and integrating over all variables except the eigenvalues. The integration is done by identifying a recursive structure which reduces the dimension. This approach is inspired by an analogous approach which has been recently applied to determine the eigenvalue probability density function for random matrices A^{-1} B, where A and B are random matrices with entries standard complex normals. We relate the eigenvalue distribution of the sub-blocks to a many body quantum state, and to the one-component plasma, on the pseudosphere.Comment: 11 pages; To appear in J.Phys

SYSTEM AND METHOD FOR BUILDING CONTAINER CLUSTER

The present disclosure provides a method and container management system for building container cluster. The container management system based on user requirement may automate hardening of operating system and configure network and storage for adding new container. The container management system obtains and configures load balancer VIP without any manual intervention. Thereafter, the container management system performs end-to-end validation by deploying test application and validating the test application. Thus, the present disclosure reduces time consumption for building container clusters based on the user requirement

Antifungal potential of Azotobacter species and its metabolites against Fusarium verticillioides and biodegradation of fumonisin

Abstract Aims In the study, seven Plant Growth Promoting Rhizobacteria (PGPR) Azotobacter species were screened against three strains of Fusarium verticillioides to test its antifungal activity. Azotobacter strains were tested for the degradation of fumonisin produced by F. verticillioides. Secondary metabolites were isolated and characterized from the Azotobacter strains for the first time. Methods and Results Potential seven Azotobacter species antifungal activity was tested following the dual culture assay against three strains of Fusarium verticillioides namely FVM-42, FVM-86 and MTCC156 estimating the substantial zone of inhibition. Azotobacter species AZT-31 and AZT-50 strains significantly inhibited the growth of F. verticillioides recording drastic growth enhancement of maize under in-vitro conditions by calculating the infection incidence, vigour index and germination percentage. As confirmation, dereplication studies were conducted for the reconfirmation of Azotobacter strains by isolating from rhizoplane. Azotobacter strains played a key role in the degradation of fumonisin produced by F. verticillioides reporting 98% degradation at 2Â h of incubation with the pathogen. Furthermore, in the study first time, we have tried to isolate and characterize the secondary metabolites from the Azotobacter strains exhibiting six compounds from the species AZT-31 (2) and AZT-50 (4). Preliminary in-vitro experiments were carried out using the compounds extracted to check the reduction of infection incidence (90%) and increase in germination percentage upto 50 to 70% when compared to the test pathogen. Conclusion Azotobacter strains referred as PGPR on influencing the growth of plant by producing certain substances that act as stimulators on inhibiting the growth of the pathogen. Significance and Impact of the study The future perspective would be the production of an active combination of carboxamide compound and Azotobacter species for preventively controlling the phytopathogenic fungi of plants and crops and also towards the treatment of seeds