589 research outputs found
Observational Constraints on generalized dark matter properties in the presence of neutrinos with final Plank release
In this paper, we investigate an extension of standard CDM model by
allowing: a temporal evolution in the equation of state (EoS) of DM via
Chevallier-Polarski-Linder parametrization, and the constant non-null sound
speed. We also consider the properties of neutrinos, such as the effective
neutrino mass and the effective number of neutrino species as free parameters.
We derive the constraints on this scenario by using the data from the
Planck-2018 cosmic microwave background (CMB), baryonic acoustic oscillations
(BAO), the local value of the Hubble constant from the Hubble Space Telescope
(HST), and some large scale structure (LSS) information from the abundance of
galaxy clusters. We find constraints on the EoS and sound speed of DM very
close to the null value in all cases thus no significant evidence can be stated
beyond the standard CDM paradigm, and we conclude that the present
observational data favor DM as a pressureless fluid. In all cases, we find the
tighter upper bounds on the sum of neutrino masses. The most tight upper bound
is eV at 95\% CL, imposed with the addition of HST prior in
the analysis. We also observe the effects of neutrino properties on the
extended DM parameters and also on other parameters. We find significantly
lower mean values of in all cases which are in agreement with the
LSS measurements. Thus, the well-known tension is reconciled in the
considered model.Comment: 10 pages, 4 Figure panels. arXiv admin note: text overlap with
arXiv:1901.0754
Dark sector interaction: a remedy of the tensions between CMB and LSS data
The well-known tensions on the cosmological parameters and
within the CDM cosmology shown by the Planck-CMB and LSS data are
possibly due to the systematics in the data or our ignorance of some new
physics beyond the CDM model. In this letter, we focus on the second
possibility, and investigate a minimal extension of the CDM model by
allowing a coupling between its dark sector components (dark energy and dark
matter). We analyze this scenario with Planck-CMB, KiDS and HST data, and find
that the and tensions disappear at 68\% CL. In the joint
analyzes with Planck, HST and KiDS data, we find non-zero coupling in the dark
sector up to 99\% CL. Thus, we find a strong statistical support from the
observational data for an interaction in the dark sector of the Universe while
solving the and tensions simultaneously.Comment: 5 pages, 3 figure
New Measure Routing Algorithm for PEGASIS Wireless Sensor Network
The sensor node spends the maximum energy in data transmission for maintaining this issue we proposed a new routing protocol for sensor nodes in WSN. A sensor network is organized into many sets and all sets collect the data with minimum edge weight in a parallel way so doing this all sets create a minimum edge weight chain. Further, the sets make a head node that is near the base station. All sets have a unique chain in this round after that all set again to select a head node on the basis of high residual energy, less mobility, and minimum distance to the base station that the head node sends the data to the base station. Further, our proposed routing algorithms save energy. We simulated the proposed model in MATLAB all simulation result is better than both routing algorithms
Solid Waste management from Steel Melting Shop
- Production of steel in steel Industry is accomplice for the generation of solid waste materials like sludge, slag, dust etc. In recent days most part of wastes are generated from steelmaking process which is a focus point now-a-days. The solid waste generation, presently in Indian steel industry is in the range of 400 - 500 kg/t of crude steel and recycling rate varies between 40 - 70 % which lead to higher production costs, lower productivity and further environmental degradation. It is very essential not only for recycling of the waste valuable metals and mineral resources but also to protect the environment. I Solid waste management in steel industry is broadly classified in “4 R” i.e. reduce, reuse, recycle and restore the materials. The aim of the paper is to explore the various developments for total recycling of solid waste generated from steel industry, so that the vision for making “clean & green steel with zero waste” can be achieved for survival and growth of steel business in future. Keywords—Steel, Reuse, recycle, solid waste, sustainable development
WHEEL CHAIR USING VOICE RECOGNITION
The wide spread prevalence of lost limbs and sensing system is of major concern in present day due to wars, accident, age and health problems. This Omni-directional wheelchair was designed for the less able elderly to move more flexibly in narrow spaces, such as elevators or small aisle. The wheelchair is developed to help disabled patients by using speech recognition system to control the movement of wheelchair in different directions by using voice commands and also the simple movement of the patient's fingers with keypad control. From previous literature surveys it was observed that the moments of wheels of wheelchair is difficult in diagonals direction, in this proposed system achievement of wheelchair movement in all direction is obtained by using multi-directional Omni-wheels which makes the diagonal moments comparatively flexible
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