554 research outputs found
Role of connectivity in congestion and decongestion in networks
We study network traffic dynamics in a two dimensional communication network
with regular nodes and hubs. If the network experiences heavy message traffic,
congestion occurs due to finite capacity of the nodes. We discuss strategies to
manipulate hub capacity and hub connections to relieve congestion and define a
coefficient of betweenness centrality (CBC), a direct measure of network
traffic, which is useful for identifying hubs which are most likely to cause
congestion. The addition of assortative connections to hubs of high CBC
relieves congestion very efficiently.Comment: 9 pages, 5 figures, the Proceedings of the 3rd International
Conference NEXT-SigmaPh
Strength of Mechanical Memories is Maximal at the Yield Point of a Soft Glass
We show experimentally that both single and multiple mechanical memories can
be encoded in an amorphous bubble raft, a prototypical soft glass, subject to
an oscillatory strain. In line with recent numerical results, we find that
multiple memories can be formed sans external noise. By systematically
investigating memory formation for a range of training strain amplitudes
spanning yield, we find clear signatures of memory even beyond yielding. Most
strikingly, the extent to which the system recollects memory is largest for
training amplitudes near the yield strain and is a direct consequence of the
spatial extent over which the system reorganizes during the encoding process.
Our study further suggests that the evolution of force networks on training
plays a decisive role in memory formation in jammed packings.Comment: 13 pages, 4 Figure
Isolation, culturing and larval rearing of adult barnacles — A universal biofouler from Visakhapatnam coast on artificial panel system.
243-247The most dominant species that has successful settlement on the panel system was observed to be Amphibalanus amphitrite. Adults were cultured in the laboratory for releasing nauplii and were reared under laboratory conditions and used in settlement assay. The results of this study indicated that the Barnacle Amphibalanus amphitrite is the most common biofouling organism present on all the three types of materials used in the experiment, in the coastal region of Visakhapatnam harbor
The importance of inversion disorder in the visible light induced persistent luminescence in Cr doped ABO (A = Zn or Mg and B = Ga or Al)
Cr doped spinel compounds ABO with A=Zn, Mg and B=Ga, Al
exhibit a long near infrared persistent luminescence when excited with UV or
X-rays. In addition, persistent luminescence of ZnGaO and to a lesser
extent MgGaO, can also be induced by visible light excitation via
A T transition of Cr, which makes these
compounds suitable as biomarkers for in vivo optical imaging of small animals.
We correlate this peculiar optical property with the presence of antisite
defects, which are present in ZnGaO and MgGaO. By using X-ray
absorption fine structure (XAFS) spectroscopy, associated with electron
paramagnetic resonance (EPR) and optical emission spectroscopy, it is shown
that an increase in antisite defects concentration results in a decrease in the
Cr-O bond length and the octahedral crystal field energy. A part of the defects
are in the close environment of Cr ions, as shown by the increasing
strain broadening of EPR and XAFS peaks observed upon increasing antisite
disorder. It appears that ZnAlO, which exhibits the largest crystal
field splitting of Cr and the smallest antisite disorder, does not show
considerable persistent luminescence upon visible light excitation as compared
to ZnGaO and MgGaO. These results highlight the importance of
Cr ions with neighboring antisite defects in the mechanism of persistent
luminescence exhibited by Cr doped ABO spinel compounds.Comment: 10 pages + supplementary (available on request
Seismic Site Characterization of Delhi Region Using Microtremor Method: A Case Study
Microtremor method is the most inexpensive and convenient technique for dynamic site characterization of sedimentary basins. This study was carried out in Delhi NCR at 144 different stations and field measurements were taken using velocity sensors for a period of 1 hr at each station point. The data was analyzed using VIEW 2002 software for the estimation of fundamental resonance frequency. The results of the all 144 stations were divided into four categories (T1, T2, T3, and T4) based on the shape of the H/V spectra, resonance frequency and soil type. Since the detailed (bore hole data) soil profile at all these locations is available, the resonance frequency is compared with sedimentary thickness. It is observed that the resonance frequency is high at ridge areas and very low in places with high sedimentary thickness close to Yamuna
Efficient Mapping of Large-scale Data under Heterogeneous Big Data Computing Systems
Hadoop biological systems become progressively significant for professionals of huge scale information examination, they likewise acquire huge energy cost. This pattern is dynamic up the requirement for planning energy-effective Hadoop clusters so as to lessen the operational costs and the carbon emanation related with its energy utilization. Be that as it may, in spite of broad investigations of the issue, existing methodologies for energy proficiency have not completely measured the heterogeneity of both workloads. So that here enhancing the model by find that heterogeneity-unaware task task methodologies are hindering to both execution and energy effectiveness of Hadoop clusters. Our perception demonstrates that even heterogeneity-mindful methods that intend to decrease the job fulfillment time don't ensure a decrease in energy utilization of heterogeneous machines. We propose E-Ant which plans to get better the general energy utilization in a heterogeneous Hadoop group without giving up job execution. It adaptively plans heterogeneous workloads on energy-effective machines. E-Ant utilizes a subterranean insect state improvement approach that creates task assignment arrangements dependent on the input of each jobs energy utilization by Tasktrackers and also we incorporate DVFS method with E-Ant to further improve the energy proficiency
Isolation, culturing and larval rearing of adult Barnacles - a Universal biofouler from Visakhapatnam coast on Artificial Panel (WIC) System.
70-74The most dominant species that has successful settlement on the panel system was observed is Amphibalanusamphitrite. Adults were cultured in the laboratory for releasing nauplii and were reared under laboratory conditions and used in settlement assay. The results of this study indicated that the Barnacle Amphibalanusamphitriteis the most common biofouling organism present on all the three types of materials used in the experiment, in the coastal region of Visakhapatnam harbor
Multi Channel Analysis of Surface Wave (MASW) Testing for Dynamic Site Characterization of Delhi Region
After the Bhuj earthquake the national capital region of Delhi attracted major attention of several scientific studies in the recent times. Since Delhi falls in zone IV (IS 1893: 2002) with high seismic activity, there is a great need for site characterization and seismic hazard mapping of the area. Multi Channel Analysis of Surface Wave (MASW) tests were done in Delhi at 118 sites in predefined grids of 2kmX3km each. Shear-wave velocity, VS, is an important parameter for evaluating dynamic behavior of soil. This test carried outdone using 48 channel digital seismograph with 4.5 Hz geophones. Data was analyzed using SeisImager/SW software and two dimensional shear wave velocity models at every 5m depth from ground surface was developed. It is observed that the value of Vs is ranging from 400 to 480 m/s in the rocky sites, it is 120 to 250m/s in trans Yamuna region and 250 to 370m/s in western side of the area. The shear wave velocity values are exactly matching with the geological and geotechnical characteristics of the subsoil strata. Also, the field shear wave velocity from MASW test is compared with the estimated values using the empirical formulae developed. It is observed that the experimental shear wave velocity and the empirically estimated values are almost equal up to 20m depth. But at depths greater 20m, Vs from MASW test are slightly higher than the calculated value using empirical formulae developed. Average shear wave velocity at 30m depth i.e., VS30 is also calculated and is ranging from 185 to 495 m/s for Delhi region. Also, correlations among Vs, SPT ‘N’, depth ‘D’ are developed using the available borehole data. These correlations are useful to estimate the shear wave velocity at any depth with out performing the actual test in Delhi region
Optimal of 1-bit Comparator design and Energy Estimation using Quantum Dot Cellular Automata
Performance of CMOS technology has been affected in nanosystems due to power dissipation, area, and reliability functionalities. A research initiative which investigates other possible systems with related capacities is QCA. In this paper, QCA nanotechnology was used to create a 1-bit comparator. These circuits are easy to create and do not require any crossovers. The proposed design is extremely efficient in terms of area, cell count, quantum cost and delay, which improves the performance in the range of 74.81% to 99.87% in terms of quantum cost. As a result, proposed designs are often found in various digital logics that require a small amount of space and low power consumption
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