This paper describes the design and Field Programmable Gate Array (FPGA) based 4 × 4 breadth heuristic Multiple-Input—Multiple-Output (MIMO) decoder using 16 and 64 Quadrature Amplitude Modulation (QAM) schemes. The...
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This paper describes the design and Field Programmable Gate Array (FPGA) based 4 × 4 breadth heuristic Multiple-Input—Multiple-Output (MIMO) decoder using 16 and 64 Quadrature Amplitude Modulation (QAM) schemes. The intention of this work is to observe the performance of Candidate Execution with Low Latency Approach for soft MIMO detector in FPGA (CELLA). The Smart Ordering and Candidate Adding (SOCA), Parallel Candidate Adding (PCA) and Backward Candidate Adding (BCA) give better performance in terms of Bit Error Rate (BER) or chip level service. In order to attain both BER and FPGA level performance in a single system, CELLA is developed in this work. Simulation and experimental results demonstrate the effectiveness of the proposed work under the system 4 × 4 MIMO-OFDM employing 16 QAM and 64 QAM. The proposed experiment is implemented in Xilinx Virtex 5 C5VSX240T. The performance results, in terms of FPGA level 76% slice reduction, 58.76% throughput improvement, 75% power reduction and 87% latency reduction, are achieved. The BER performance is observed and compared with the conventional algorithms. Thus, the proposed work achieves better outcome than the conventional work.
In-Situ Resource Utilization(ISRU) is a good alternative to enable sustainability in lunar *** this objective,Space Applications Services proposed to deploy multiple robots(IBIS,MANTIS,and a mobile gantry) on the ...
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In-Situ Resource Utilization(ISRU) is a good alternative to enable sustainability in lunar *** this objective,Space Applications Services proposed to deploy multiple robots(IBIS,MANTIS,and a mobile gantry) on the Moon for *** two robots MANTIS and IBIS need to transport the big and heavy components of the mobile gantry to the assembly site cooperatively and assemble *** finish the task perfectly,it is important for the two robots to get their own precise position in *** paper proposes three localization algorithms that are based on the Extended Kalman Filter(EKF),the triangulation,and the Particle Filter(PF),respectively,for the two *** these algorithms use as input the distance measurements from the Ultra Width Band(UWB) *** the three localization algorithms have been validated in different environments,including the simulated uneven terrain scenario in Gazebo and the dataset from the filed *** results show that the EKF-based localization algorithms can get the best performance in the simulated uneven terrain scenario in Gazebo,while the PF-based one is the best with the dataset from the filed analog.
Choco quinoa nutri bar was developed using quinoa as one of the ingredients to explore its nutritional benefits. Bars were packed in polypropylene (PP, 75 μ) and metallised polyester (12 μ) low density—high density...
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Choco quinoa nutri bar was developed using quinoa as one of the ingredients to explore its nutritional benefits. Bars were packed in polypropylene (PP, 75 μ) and metallised polyester (12 μ) low density—high density (MP, 100 μ) (with/without vacuum) films, stored under ambient and 37°C temperature conditions for shelf life evaluation. Bar contained 14.43% protein, 14.93% fat with a calorific value of 426.75 k cal/100g. Chemical changes were observed significantly (p < 0.05) more in the samples stored at 37°C than the ones stored at ambient conditions (15°C - 34°C). Bars showed maximum stability at 0.33 aw with less chemical changes. Oleic acid (36.06%) was found to be the major fatty acids in the bar followed by palmitic (29.35%), stearic (17.12%) and linoleic (12.05%) acids. Hardness of the bar enhanced significantly during storage, and was observed significantly (p < 0.05) higher in the samples packed in MP films (with/without vacuum) as compared to bars packed in PP films thus restricting the shelf life of the bar to 6 months in MP films (with/without vacuum) and 9 months in PP films at both the temperature conditions.
<正>Single walled carbon nanotubes (SWNTs) can be viewed as tubes formed by the conformal mapping of graphite strips onto cylindrical surfaces. When stacked in bundles, these tubes form a two dimensional triangula...
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<正>Single walled carbon nanotubes (SWNTs) can be viewed as tubes formed by the conformal mapping of graphite strips onto cylindrical surfaces. When stacked in bundles, these tubes form a two dimensional triangular lattice. In addition to many interesting and useful physical properties1 of SWNTs, these have been predicted to have remarkable mechanical resilience, such as reversible bending of isolated tubes to -110° 2. Recently several high pressure Raman studies have been carried out to understand the behaviour under high pressure. Based on these studies, existence of a structural phase transformation at 1.7 GPa3 and polygonization of tubes at - 2.5 GPa4 has been suggested. Another Raman investigation indicates a reversible phase transformation at 10 GPa5. To investigate the nature of structural changes under pressure, we have carried out in-situ high pressure x-ray diffraction study on SWNTs up to 13 GPa. These experiments were carried out at the SPringS synchrotron facility. Observed variation of the d-spacings as a function of pressure is shown in Fig. 1. Vanishing of the strongest and only recorded diffraction line (100) of the SWNTs show that the carbon nanotube bundles loose the triangular translational order beyond 10 GPa. However, before losing its translational coherence, the two-dimensional lattice softens substantially as is displayed by an upward jump of dioo of SWNTs in Fig. 1. This is rationalizable in terms of the formation of heterogeneous fins like structures, which may help reduce the average basal strain. These results also provide an explanation for the unusual downward jump of tangential mode of the Raman results at this pressure.5 On release of pressure, the tubes regain the triangular lattice structure. These experimental observations validate the predicted remarkable mechanical resilience of the carbon nanotubes. Our data, which represents hydrostatic environment, gives the bulk modulus to be 34 GPa, which is more than a
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